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Heritability

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variation decreases, causing individuals to show less phenotypic variation, like showing more similar levels of intelligence. Heritability increases when genetics are contributing more variation or because non-genetic factors are contributing less variation; what matters is the relative contribution. Heritability is specific to a particular population in a particular environment. High heritability of a trait, consequently, does not necessarily mean that the trait is not very susceptible to environmental influences. Heritability can also change as a result of changes in the environment, migration,
4116: 38: 5166: 128:. This is not the same as saying that this fraction of an individual phenotype is caused by genetics. For example, it is incorrect to say that since the heritability of personality traits is about 0.6, that means that 60% of your personality is inherited from your parents and 40% comes from the environment. In addition, heritability can change without any genetic change occurring, such as when the environment starts contributing to more variation. As a case in point, consider that both 525: 116:). It is the source of much confusion due to the fact that its technical definition is different from its commonly-understood folk definition. Therefore, its use conveys the incorrect impression that behavioral traits are "inherited" or specifically passed down through the genes. Behavioral geneticists also conduct heritability analyses based on the assumption that genes and environments contribute in a separate, additive manner to behavioral traits. 5473:...all complex human traits result from a combination of causes. If these causes interact, it is impossible to assign quantitative values to the fraction of a trait due to each, just as we cannot say how much of the area of a rectangle is due, separately, to each of its two dimensions. Thus, in the analyses of complex human phenotypes...we cannot actually find 'the relative importance of genes and environment in the determination of phenotype'. 3609: 3899:. Eric Turkheimer has argued that newer molecular methods have vindicated the conventional interpretation of twin studies, although it remains mostly unclear how to explain the relations between genes and behaviors. According to Turkheimer, both genes and environment are heritable, genetic contribution varies by environment, and a focus on heritability distracts from other important factors. Overall, however, 3794: 841: 1655: 3860:, and that this alleged bias distracts from other factors that researches have found more causally important, such as childhood abuse causing later psychosis. Heritability estimates are also inherently limited because they do not convey any information regarding whether genes or environment play a larger role in the development of the trait under study. For this reason, 504:. If a selective pressure such as improving livestock is exerted, the response of the trait is directly related to narrow-sense heritability. The mean of the trait will increase in the next generation as a function of how much the mean of the selected parents differs from the mean of the population from which the selected parents were chosen. The observed 3514:
individuals across a broad range of environments, although inference of genetic variance from phenotypic and environmental variance may lead to underestimation of heritability due to the challenge of capturing the full range of environmental influence affecting a trait. Other methods for calculating heritability use data from
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When genome-wide genotype data and phenotypes from large population samples are available, one can estimate the relationships between individuals based on their genotypes and use a linear mixed model to estimate the variance explained by the genetic markers. This gives a genomic heritability estimate
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who have been separated early in life and raised in different environments. Such individuals have identical genotypes and can be used to separate the effects of genotype and environment. A limit of this design is the common prenatal environment and the relatively low numbers of twins reared apart. A
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to each offspring, parent-offspring resemblance depends upon the average effect of single alleles. Additive variance represents, therefore, the genetic component of variance responsible for parent-offspring resemblance. The additive genetic portion of the phenotypic variance is known as Narrow-sense
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A prerequisite for heritability analyses is that there is some population variation to account for. This last point highlights the fact that heritability cannot take into account the effect of factors which are invariant in the population. Factors may be invariant if they are absent and do not exist
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For example, imagine that a plant breeder is involved in a selective breeding project with the aim of increasing the number of kernels per ear of corn. For the sake of argument, let us assume that the average ear of corn in the parent generation has 100 kernels. Let us also assume that the selected
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Heritability may be estimated by comparing parent and offspring traits (as in Fig. 2). The slope of the line (0.57) approximates the heritability of the trait when offspring values are regressed against the average trait in the parents. If only one parent's value is used then heritability is twice
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Heritability for traits in humans is most frequently estimated by comparing resemblances between twins. "The advantage of twin studies, is that the total variance can be split up into genetic, shared or common environmental, and unique environmental components, enabling an accurate estimation of
1696:– the sum of half the additive genetic variance plus full effect of the common environment. It thus places an upper limit on additive heritability of twice the full-Sib phenotypic correlation. Half-Sib designs compare phenotypic traits of siblings that share one parent with other sibling groups. 132:
and environment have the potential to influence intelligence. Heritability could increase if genetic variation increases, causing individuals to show more phenotypic variation, like showing different levels of intelligence. On the other hand, heritability might also increase if the environmental
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describe the term "heritability" in the context of behavior genetics as "...one of the most misleading in the history of science" and argue that it has no value except in very rare cases. When studying complex human traits, it is impossible to use heritability analysis to determine the relative
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The currently popular methodology relies on high degrees of certainty over the identities of the sire and dam; it is not common to treat the sire identity probabilistically. This is not usually a problem, since the methodology is rarely applied to wild populations (although it has been used for
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Heritability is estimated by comparing individual phenotypic variation among related individuals in a population, by examining the association between individual phenotype and genotype data, or even by modeling summary-level data from genome-wide association studies (GWAS). Heritability is an
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A wide variety of approaches using linear mixed models have been reported in literature. Via these methods, phenotypic variance is partitioned into genetic, environmental and experimental design variances to estimate heritability. Environmental variance can be explicitly modeled by studying
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In this equation, the Response to Selection (R) is defined as the realized average difference between the parent generation and the next generation, and the Selection Differential (S) is defined as the average difference between the parent generation and the selected parents.
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parents produce corn with an average of 120 kernels per ear. If h equals 0.5, then the next generation will produce corn with an average of 0.5(120-100) = 10 additional kernels per ear. Therefore, the total number of kernels per ear of corn will equal, on average, 110.
96:. In human studies of heritability these are often apportioned into factors from "shared environment" and "non-shared environment" based on whether they tend to result in persons brought up in the same household being more or less similar to persons who were not. 1404:" unaccounted for by known genetic loci, the assumption of additivity may render these estimates invalid. There is also some empirical evidence that the additivity assumption is frequently violated in behavior genetic studies of adolescent intelligence and 836:{\displaystyle {\begin{aligned}P_{ij}&=\mu +\alpha \,(B_{i}+B_{j})+\delta \,(B_{i}B_{j})\\&={\text{Population mean}}+{\text{Additive Effect }}(a_{ij}=\alpha (B_{i}+B_{j}))+{\text{Dominance Deviation }}(d_{ij}=\delta (B_{i}B_{j})).\\\end{aligned}}} 1711: 1741:, contributes to similarity between siblings due to the commonality of the environment they are raised in. Shared environment is approximated by the DZ correlation minus half heritability, which is the degree to which DZ twins share the same genes, 1691:
A basic approach to heritability can be taken using full-Sib designs: comparing similarity between siblings who share both a biological mother and a father. When there is only additive gene action, this sibling phenotypic correlation is an index of
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In non-human populations it is often possible to collect information in a controlled way. For example, among farm animals it is easy to arrange for a bull to produce offspring from a large number of cows and to control environments. Such
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For traits which are not continuous but dichotomous such as an additional toe or certain diseases, the contribution of the various alleles can be considered to be a sum, which past a threshold, manifests itself as the trait, giving the
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will usually have three or more data points for each individual: a code for the sire, a code for the dam and one or several trait values. Different trait values may be for different traits or for different time points of measurement.
137:, or the way in which heritability itself is measured in the population under study. The heritability of a trait should not be interpreted as a measure of the extent to which said trait is genetically determined in an individual. 3600:. Particularly, the method called High-Definition Likelihood (HDL) can estimate genomic heritability using only GWAS summary statistics, making it easier to incorporate large sample size available in various GWAS meta-analysis. 1267: 998: 1399:
Estimates of the total heritability of human traits assume the absence of epistasis, which has been called the "assumption of additivity". Although some researchers have cited such estimates in support of the existence of
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to help to identify the causes of differences between individuals. Since heritability is concerned with variance, it is necessarily an account of the differences between individuals in a population. Heritability can be
164:– examining a single trait – or multivariate – examining the genetic and environmental associations between multiple traits at once. This allows a test of the genetic overlap between different phenotypes: for instance 4193: 476: 361: 80:
between individuals in that population. The concept of heritability can be expressed in the form of the following question: "What is the proportion of the variation in a given trait within a population that is
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several wild ungulate and bird populations), and sires are invariably known with a very high degree of certainty in breeding programmes. There are also algorithms that account for uncertain paternity.
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Consider an experiment with a group of sires and their progeny from random dams. Since the progeny get half of their genes from the father and half from their (random) mother, the progeny equation is
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for the trait), and so identical or monozygotic (MZ) twins on average are twice as genetically similar as DZ twins. A crude estimate of heritability, then, is approximately twice the difference in
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components of variance depend on the sample characteristics. Briefly, better estimates are obtained using data from individuals with widely varying levels of genetic relationship - such as
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a phenotype, making its expression almost inevitable in all occurring environments. Individuals with the same genotype can also exhibit different phenotypes through a mechanism called
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are either 0 or 1, the expected phenotype can then be written as the sum of the overall mean, a linear effect, and a dominance deviation (one can think of the dominance term as an
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can be observed or measured directly, heritability must be estimated from the similarities observed in subjects varying in their level of genetic or environmental similarity. The
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We use the basic discussion of Kempthorne. Considering only the most basic of genetic models, we can look at the quantitative contribution of a single locus with genotype
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A particularly important component of the genetic variance is the additive variance, Var(A), which is the variance due to the average effects (additive effects) of the
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Experiments can be run with a similar setup to the one given in Table 1. Using different relationship groups, we can evaluate different intraclass correlations. Using
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activity of individual genes associated with environmental changes. However, there are a large number of genes whose transcription is not affected by the environment.
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When a large, complex pedigree or another aforementioned type of data is available, heritability and other quantitative genetic parameters can be estimated by
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Heckerman D, Gurdasani D, Kadie C, Pomilla C, Carstensen T, Martin H, Ekoru K, Nsubuga RN, Ssenyomo G, Kamali A, Kaleebu P, Widmer C, Sandhu MS (July 2016).
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in which the similarity of identical and fraternal twins is used to estimate heritability. These studies can be limited by the fact that identical twins are
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The extent of dependence of phenotype on environment can also be a function of the genes involved. Matters of heritability are complicated because genes may
1972:). The variance will include terms for genetic variance (since they did not all get the same genotype) and environmental variance. This is thought of as an 3955: 3877:
emphasize that heritability is itself a function of environmental variation. However, some researchers argue that it is possible to disentangle the two.
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of breeding studies, using the intraclass correlation of relatives. Various methods of estimating components of variance (and, hence, heritability) from
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Consider the experiment above. We have two groups of progeny we can compare. The first is comparing the various progeny for an individual sire (called
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to estimate the influence on a trait by genetic factors, which is reflected by the rate and influence of putatively associated genetic loci (usually
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Cattell RB (November 1960). "The multiple abstract variance analysis equations and solutions: for nature-nurture research on continuous variables".
4951:"Modeling genetic and environmental factors to increase heritability and ease the identification of candidate genes for birth weight: a twin study" 2570: 6909: 6863: 5635: 1714:
Figure 3. Twin concordances for seven psychological traits (sample size shown inside bars), with DZ being fraternal and MZ being identical twins.
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as in the within sire groups, we have an addition term due to the differences among different means of half sibs. The intraclass correlation is
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based on the variance captured by common genetic variants. There are multiple methods that make different adjustments for allele frequency and
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Observing the response to selection in an artificial selection experiment will allow calculation of realized heritability as in Fig. 4.
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is the broad-sense heritability. This reflects all the genetic contributions to a population's phenotypic variance including additive,
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in height between people. This is not the same as asking to what extent do genetic factors influence height in any one person.
6940: 5989: 5771: 5754: 6656: 1680: 1275: 1006: 6935: 6507: 4711: 3861: 3526: 5919: 3717: 3559: 2138:{\displaystyle \mathrm {corr} (z,z')=\mathrm {corr} (\mu +{\frac {1}{2}}g+e,\mu +{\frac {1}{2}}g+e')={\frac {1}{4}}V_{g}} 1577: 6945: 5882: 3893: 3556: 1552: 6474: 5964: 4793:"Nurture net of nature: Re-evaluating the role of shared environments in academic achievement and verbal intelligence" 1901: 1635: 1437: 1436:, siblings, parents and offspring, rather than from more distantly related (and therefore less similar) subjects. The 1448:
is generally not possible when gathering human data, relying on naturally occurring relationships and environments.
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The simplest genetic model involves a single locus with two alleles (b and B) affecting one quantitative phenotype.
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Maccoby EE (February 2000). "Parenting and its effects on children: on reading and misreading behavior genetics".
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contributions of genes and environment, as such traits result from multiple causes interacting. In particular,
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Figure 1. Relationship of phenotypic values to additive and dominance effects using a completely dominant locus.
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The second set of methods of estimation of heritability involves ANOVA and estimation of variance components.
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In classical quantitative genetics, there were two schools of thought regarding estimation of heritability.
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of plants and animals, the expected response to selection of a trait with known narrow-sense heritability
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Figure 4. Strength of selection (S) and response to selection (R) in an artificial selection experiment,
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heritability". Fraternal or dizygotic (DZ) twins on average share half their genes (assuming there is no
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Gielen M, Lindsey PJ, Derom C, Smeets HJ, Souren NY, Paulussen AD, Derom R, Nijhuis JG (January 2008).
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Quantitative Genetics Resources website, including the two volume book by Lynch and Walsh. Free access
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Johnson W, Penke L, Spinath FM (2011). "Understanding Heritability: What it is and What it is Not".
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The Trouble with Twin Studies: A Reassessment of Twin Research in the Social and Behavioral Sciences
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For a model with additive and dominance terms, but not others, the equation for a single locus is
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Likewise the phenotypic variance in the trait – Var (P) – is the sum of effects as follows:
69: 57: 4610: 3804: 2940: 2913: 2227: 2200: 1841: 6832: 6812: 6671: 6575: 6385: 5924: 5758: 4390: 4145:"High-definition likelihood inference of genetic correlations across human complex traits" 3853: 3845: 2965: 1979:
The second group of progeny are comparisons of means of half sibs with each other (called
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Studies of heritability ask questions such as to what extent do genetic factors influence
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The first school of estimation uses regression and correlation to estimate heritability.
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Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
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The use of ANOVA to calculate heritability often fails to account for the presence of
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Heritability measures the fraction of phenotype variability that can be attributed to
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DeFries JC, Fulker DW (September 1985). "Multiple regression analysis of twin data".
4808: 4535: 4519: 4189: 1494: 1487: 1459: 846: 5731: 5585: 4370: 4260: 381:, where individuals are directly affected by their parents' phenotype, such as with 6771: 6464: 6285: 6127: 5526: 4904: 4645: 4112: 3881: 5763: 5751: 4429: 4218: 1262:{\displaystyle \mathrm {Var} (D)=f(bb)d_{bb}^{2}+f(Bb)d_{Bb}^{2}+f(BB)d_{BB}^{2},} 993:{\displaystyle \mathrm {Var} (A)=f(bb)a_{bb}^{2}+f(Bb)a_{Bb}^{2}+f(BB)a_{BB}^{2},} 5577: 5139: 4354: 6827: 6822: 6400: 6380: 5233: 5121:
Hill WG, Goddard ME, Visscher PM (February 2008). MacKay TF, Goddard ME (eds.).
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Doctoring the Mind: Is Our Current Treatment of Mental Illness Really Any Good?
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Proceedings of the National Academy of Sciences of the United States of America
5000:"Insensitivity of the analysis of variance to heredity-environment interaction" 4738:
Proceedings of the National Academy of Sciences of the United States of America
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Studies of human heritability often utilize adoption study designs, often with
17: 6868: 6752: 6644: 6344: 6297: 5746: 5123:"Data and theory point to mainly additive genetic variance for complex traits" 5018: 4966: 4163: 3841: 1705: 1537: 1482:). It is based on the analysis of correlations and, by extension, regression. 1421: 177: 165: 161: 134: 113: 73: 5723: 5026: 4688: 4637: 4313: 3996: 2682:{\displaystyle H^{2}={\frac {V_{g}}{V_{g}+V_{e}}}={\frac {4(S-W)}{S+(r-1)W}}} 6595: 6563: 6330: 6236: 6132: 5510: 5088: 4758: 4629: 4569: 4550: 374: 169: 53: 27:
Estimation of effect of genetic variation on phenotypic variation of a trait
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The controversy over heritability estimates is largely via their basis in
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There is a similar relationship for the variance of dominance deviations:
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Some common relationships and their coefficients are given in Table 2.
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Stanford Encyclopedia of Philosophy entry on Heredity and Heritability
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as the dominance deviation variance, intraclass correlations become
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The pedigrees can be viewed using programs such as Pedigree Viewer
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Other causes of measured variation in a trait are characterized as
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Today, heritability can be estimated from general pedigrees using
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Yang J, Zeng J, Goddard ME, Wray NR, Visscher PM (August 2017).
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for heritability estimates is improved with large sample sizes.
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in the population, such as no one having access to a particular
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Tredoux, Gavan. "The Nature and Nurture of Rectangles." (2019).
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Block N (August 1995). "How heritability misleads about race".
4395:"Heritability in the genomics era--concepts and misconceptions" 1544:, potentially resulting in an underestimation of heritability. 252:) can be controlled and held at 0. In this case, heritability, 5398:
Moore DS, Shenk D (January 2017). "The heritability fallacy".
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progeny per sire, we can calculate the following ANOVA, using
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leads to an estimate of the narrow-sense heritability (called
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in which heritability can be estimated and selection modeled.
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Pedigree models are helpful for untangling confounds such as
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for testing for interaction effects than for direct effects.
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for analyzing twins selected for one member being affected.
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since environmental effects are independent of each other.
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Table 2: Coefficients for calculating variance components
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Gazzaniga MS, Heatherton TF, Halpern DF (February 2015).
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Heritability in the above equation is equal to the ratio
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In the comparison of relatives, we find that in general,
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Zuk O, Hechter E, Sunyaev SR, Lander ES (January 2012).
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Yang J, Lee SH, Goddard ME, Visscher PM (January 2011).
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only if the genotype and the environmental noise follow
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Plomin R, DeFries JC, McClearn GE, McGuffin P (2017).
1378:{\displaystyle f(bb)d_{bb}+f(Bb)d_{Bb}+f(BB)d_{BB}=0.} 1109:{\displaystyle f(bb)a_{bb}+f(Bb)a_{Bb}+f(BB)a_{BB}=0.} 4026:"GCTA: a tool for genome-wide complex trait analysis" 3720: 3670: 3630: 3482: 3454: 3428: 3400: 3367: 3339: 3313: 3285: 3259: 3231: 3205: 3184: 3158: 3137: 3100: 3075: 3053: 3033: 2978: 2943: 2916: 2893: 2863: 2836: 2809: 2717: 2573: 2532: 2477: 2456: 2420: 2330: 2309: 2282: 2230: 2203: 2183: 2163: 1996: 1904: 1878: 1844: 1789: 1580: 1278: 1127: 1009: 858: 593: 406: 291: 258: 4683:(1st ed.). Ames, Iowa: Iowa State Univ. Press. 4611:"Three Laws of Behavior Genetics and What They Mean" 2887:
is the dominance deviation for the ij genotype, and
6887: 6841: 6795: 6759: 6689: 6618: 6546: 6500: 6493: 6457: 6409: 6373: 6306: 6243: 6120: 6094: 6056: 6031: 5998: 5912: 5841: 5805: 3836:Heritability estimates' prominent critics, such as 3769:{\displaystyle \mathrm {Var} (A)/\mathrm {Var} (P)} 1620:{\displaystyle h^{2}={\frac {b}{r}}={\frac {t}{r}}} 845:The additive genetic variance at this locus is the 5400:Wiley Interdisciplinary Reviews: Cognitive Science 4674: 4672: 4670: 4384: 4382: 4380: 3768: 3692: 3649: 3495: 3467: 3434: 3413: 3380: 3352: 3319: 3298: 3265: 3244: 3211: 3190: 3164: 3143: 3109: 3084: 3059: 3039: 3016: 2956: 2929: 2899: 2879: 2849: 2822: 2790: 2681: 2555: 2513: 2462: 2441: 2400: 2315: 2294: 2243: 2216: 2189: 2169: 2137: 1952: 1884: 1857: 1827: 1619: 1377: 1261: 1108: 992: 835: 470: 355: 274: 5559: 5557: 3587:, shared environment, and maternal gene effects. 196:as the sum of genetic and environmental effects: 4551:"Principles of Population Genetics, 4th edition" 1953:{\displaystyle z_{i}=\mu +{\frac {1}{2}}g_{i}+e} 85:explained by the environment or random chance?" 5485:Marcus W. Feldman; Richard C. Lewontin (1975). 1509:, as well as other schools. It is based on the 1391:of phenotype on genotype is shown in Figure 1. 392:. Since each parent passes a single allele per 539:alleles can be 0, 1, or 2. For any genotype, ( 485:is used to denote broad sense, and lower case 6737: 6216: 5890: 5779: 3848:, focus largely on heritability estimates in 1671:," since the offspring values always tend to 8: 5685:Genetics and analysis of quantitative traits 1667:the slope. (This is the source of the term " 1559:Regression/correlation methods of estimation 5599:Turkheimer E (2015). "Genetic Prediction". 4618:Current Directions in Psychological Science 2567:between half sibs. We can easily calculate 6744: 6730: 6722: 6497: 6223: 6209: 6201: 5897: 5883: 5875: 5786: 5772: 5764: 4009:: CS1 maint: location missing publisher ( 1761:Analysis of variance methods of estimation 5458: 5433:Feldman MW, Ramachandran S (April 2018). 5253: 5148: 5138: 5097: 5087: 4974: 4816: 4767: 4757: 4568: 4482: 4242: 4171: 4049: 3746: 3741: 3721: 3719: 3681: 3669: 3638: 3629: 3483: 3481: 3455: 3453: 3427: 3401: 3399: 3368: 3366: 3340: 3338: 3312: 3286: 3284: 3258: 3232: 3230: 3204: 3183: 3157: 3136: 3099: 3074: 3052: 3032: 3005: 2989: 2977: 2948: 2942: 2921: 2915: 2892: 2868: 2862: 2841: 2835: 2814: 2808: 2770: 2757: 2744: 2722: 2716: 2629: 2617: 2604: 2593: 2587: 2578: 2572: 2547: 2533: 2531: 2514:{\displaystyle {\frac {3}{4}}V_{g}+V_{e}} 2505: 2492: 2478: 2476: 2455: 2419: 2388: 2374: 2373: 2358: 2345: 2331: 2329: 2308: 2281: 2235: 2229: 2208: 2202: 2182: 2162: 2129: 2115: 2085: 2057: 2034: 1997: 1995: 1938: 1924: 1909: 1903: 1877: 1849: 1843: 1813: 1794: 1788: 1607: 1594: 1585: 1579: 1360: 1329: 1298: 1277: 1250: 1242: 1214: 1206: 1178: 1170: 1128: 1126: 1091: 1060: 1029: 1008: 981: 973: 945: 937: 909: 901: 859: 857: 814: 804: 782: 770: 755: 742: 720: 708: 700: 681: 671: 663: 648: 635: 627: 602: 594: 592: 445: 423: 420: 411: 405: 330: 308: 305: 296: 290: 263: 257: 5185:(2nd ed.). New York: W.H. Freeman. 4918:Falconer DS, Mackay TF (December 1995). 3122: 2857:is the additive effect of the j allele, 2830:is the additive effect of the i allele, 2253: 1709: 849:of the squares of the additive effects: 523: 6910:Suppressed research in the Soviet Union 6864:Inheritance of acquired characteristics 4143:Ning Z, Pawitan Y, Shen X (June 2020). 3934: 2704:Model with additive and dominance terms 1493:The second was originally developed by 377:(multi-genic interactions), as well as 6713:Index of evolutionary biology articles 6190:Index of evolutionary biology articles 5564:Turkheimer E (2011). "Still missing". 5379:from the original on 28 September 2011 4002: 5242:International Journal of Epidemiology 5209:Introduction to quantitative genetics 4921:Introduction to Quantitative Genetics 4791:Daw J, Guo G, Harris KM (July 2015). 4681:An introduction to genetic statistics 3548:, and analyzed with programs such as 3017:{\displaystyle =rV_{a}+\theta V_{d},} 2937:as the additive genetic variance and 1642:is the coefficient of regression and 1536:second and more common design is the 1490:as a way of estimating heritability. 7: 6900:Collectivization in the Soviet Union 5687:. Sunderland, Mass.: Sinauer Assoc. 4655:from the original on 19 October 2013 4138: 4136: 4071: 4069: 3558:, MCMCglmm within the R environment 1542:not completely genetically identical 512:). This is the principle underlying 5643:. New York: Routledge. p. 81. 4708:Stanford Encyclopedia of Philosophy 4702:Stephen Downes and Lucas Matthews. 4457:Sauce B, Matzel LD (January 2018). 4219:"Coming to terms with heritability" 2556:{\displaystyle {\frac {1}{4}}V_{g}} 2255:Table 1: ANOVA for Sire experiment 1646:is the coefficient of correlation. 500:Additive variance is important for 6523:Evolutionary developmental biology 4287:"The intelligence of heritability" 4030:American Journal of Human Genetics 3958:from the original on 2 August 2015 3753: 3750: 3747: 3728: 3725: 3722: 2044: 2041: 2038: 2035: 2007: 2004: 2001: 1998: 1828:{\displaystyle y_{i}=\mu +g_{i}+e} 1737:The effect of shared environment, 1424:analyses required to estimate the 1135: 1132: 1129: 866: 863: 860: 452: 449: 446: 430: 427: 424: 337: 334: 331: 315: 312: 309: 25: 5806:Concepts in Quantitative Genetics 4584:Principles of Population Genetics 2968:of these parameters. In general, 2696:, because ANOVA has a much lower 1749:. Unique environmental variance, 6480:Evolution of sexual reproduction 5533:from the original on 20 May 2021 5212:(4th ed.). Essex: Longman. 5164: 4998:Wahlsten, Douglas (March 1990). 4809:10.1016/j.ssresearch.2015.02.011 3903:is a concept widely applicable. 3792: 1528:estimated from genetic markers. 192:Any particular phenotype can be 5704:European Journal of Personality 5660:from the original on 2016-04-04 5347:from the original on 2020-10-05 5305:from the original on 2017-07-19 5206:Falconer DS, Mackay TF (1998). 5044:from the original on 2020-10-05 4714:from the original on 2020-02-25 4439:from the original on 2016-03-24 4323:from the original on 2018-10-24 4267:from the original on 2020-12-02 4199:from the original on 2021-04-15 4122:from the original on 2020-10-05 3944:"Estimating Trait Heritability" 3520:single-nucleotide polymorphisms 3516:genome-wide association studies 3496:{\displaystyle {\frac {1}{16}}} 2251:as the environmental variance: 1507:North Carolina State University 397:heritability and is defined as 6251:Genotype–phenotype distinction 5990:Constructive neutral evolution 3763: 3757: 3738: 3732: 3644: 3631: 3468:{\displaystyle {\frac {1}{4}}} 3414:{\displaystyle {\frac {1}{8}}} 3381:{\displaystyle {\frac {1}{4}}} 3353:{\displaystyle {\frac {1}{2}}} 3299:{\displaystyle {\frac {1}{4}}} 3245:{\displaystyle {\frac {1}{2}}} 2694:gene–-environment interactions 2670: 2658: 2647: 2635: 2436: 2424: 2395: 2370: 2109: 2048: 2028: 2011: 1727:between MZ and DZ twins, i.e. 1353: 1344: 1322: 1313: 1291: 1282: 1235: 1226: 1199: 1190: 1163: 1154: 1145: 1139: 1084: 1075: 1053: 1044: 1022: 1013: 966: 957: 930: 921: 894: 885: 876: 870: 823: 820: 797: 775: 764: 761: 735: 713: 687: 664: 654: 628: 462: 456: 440: 434: 347: 341: 325: 319: 155:Estimates of heritability use 1: 6508:Regulation of gene expression 5566:Research in Human Development 5182:Behavioral Genetics: A Primer 5007:Behavioral and Brain Sciences 4609:Turkheimer E (October 2000). 3527:restricted maximum likelihood 1892:is the environmental effect. 1567:Comparison of close relatives 1466:, and further popularized by 379:maternal and paternal effects 64:that estimates the degree of 6678:Endless Forms Most Beautiful 6458:Evolution of genetic systems 6266:Gene–environment correlation 6261:Gene–environment interaction 5940:Fisher's fundamental theorem 5578:10.1080/15427609.2011.625321 5367:"Doctoring the Mind: Review" 5140:10.1371/journal.pgen.1000008 4520:10.1016/0010-0277(95)00678-r 4355:10.1146/annurev.psych.51.1.1 4217:Stoltenberg SF (June 1997). 3892:studies' conclusions is the 3888:studies to corroborate such 3815:or discuss the issue on the 2224:as the genetic variance and 1553:gene environment correlation 1517:are used in these analyses. 244:In a planned experiment Cov( 6657:Christiane NĂĽsslein-Volhard 5965:Coefficient of relationship 4582:Hartl DL, Clark AG (2007). 4343:Annual Review of Psychology 3942:Wray N, Visscher P (2008). 3657:can be estimated using the 2850:{\displaystyle \alpha _{j}} 2823:{\displaystyle \alpha _{i}} 1650:Parent-offspring regression 1499:The University of Edinburgh 6962: 6533:Hedgehog signaling pathway 6410:Developmental architecture 5601:The Hastings Center Report 5487:"The Heritability Hang–Up" 4306:10.1037/0708-5591.35.3.244 4042:10.1016/j.ajhg.2010.11.011 3981:(5th ed.). New York. 3807:towards certain viewpoints 1865:is the effect of genotype 1703: 1675:value for the population, 1636:coefficient of relatedness 29: 6915:Politicization of science 6710: 6360:Transgressive segregation 6185: 5960:Coefficient of inbreeding 5833:Effective population size 5683:Lynch M, Walsh B (1998). 5365:McGrath M (5 July 2009). 5331:New York University Press 5019:10.1017/S0140525X00077797 4967:10.1007/s10519-007-9170-3 4164:10.1038/s41588-020-0653-y 3884:. The scarce success of 1634:can be thought of as the 1464:The University of Chicago 772:Dominance Deviation  495:liability threshold model 6138:Evolutionary game theory 5920:Hardy–Weinberg principle 5823:Quantitative trait locus 4402:Nature Reviews. Genetics 4393:, Wray NR (April 2008). 3693:{\displaystyle R=h^{2}S} 3110:{\displaystyle \theta =} 30:Not to be confused with 6895:Bourgeois pseudoscience 6538:Notch signaling pathway 6513:Gene regulatory network 6396:Dual inheritance theory 5950:Shifting balance theory 5511:10.1126/science.1198102 5089:10.1073/pnas.1510497113 4797:Social Science Research 4759:10.1073/pnas.1119675109 4710:. Stanford University. 4630:10.1111/1467-8721.00084 3650:{\displaystyle (h^{2})} 3165:{\displaystyle \theta } 3060:{\displaystyle \theta } 1964:Intraclass correlations 1412:Estimating heritability 385:production in mammals. 6586:cis-regulatory element 6494:Control of development 6374:Non-genetic influences 6340:evolutionary landscape 5935:Linkage disequilibrium 5451:10.1098/rstb.2017.0064 4463:Psychological Bulletin 3778:Gaussian distributions 3770: 3694: 3651: 3617: 3598:linkage disequilibrium 3497: 3469: 3436: 3415: 3382: 3354: 3321: 3300: 3267: 3246: 3213: 3192: 3166: 3145: 3111: 3086: 3061: 3041: 3018: 2972:Intraclass correlation 2958: 2931: 2901: 2881: 2880:{\displaystyle d_{ij}} 2851: 2824: 2792: 2683: 2565:intraclass correlation 2557: 2515: 2464: 2443: 2442:{\displaystyle n(r-1)} 2402: 2317: 2296: 2245: 2218: 2191: 2171: 2157:In an experiment with 2139: 1983:). In addition to the 1954: 1886: 1859: 1829: 1715: 1663: 1621: 1379: 1263: 1110: 994: 837: 529: 472: 357: 276: 275:{\displaystyle H^{2},} 56:used in the fields of 46: 6941:Quantitative genetics 6874:Mendelian inheritance 6697:Nature versus nurture 6601:Cell surface receptor 6518:Evo-devo gene toolkit 6417:Developmental biology 6355:Polygenic inheritance 6281:Quantitative genetics 6177:Quantitative genetics 6086:Balding–Nichols model 6071:Population bottleneck 6066:Small population size 5970:Selection coefficient 5799:Quantitative genetics 4679:Kempthorne O (1957). 4570:10.1093/jhered/esm035 3979:Psychological science 3858:genetic determination 3771: 3695: 3652: 3611: 3604:Response to selection 3583:, and confounding of 3498: 3470: 3446:Double First Cousins 3437: 3416: 3383: 3355: 3322: 3301: 3268: 3247: 3214: 3193: 3167: 3146: 3112: 3087: 3062: 3042: 3019: 2959: 2957:{\displaystyle V_{d}} 2932: 2930:{\displaystyle V_{a}} 2902: 2882: 2852: 2825: 2793: 2684: 2558: 2516: 2465: 2444: 2403: 2318: 2297: 2269:Expected Mean Square 2246: 2244:{\displaystyle V_{e}} 2219: 2217:{\displaystyle V_{g}} 2192: 2172: 2140: 1955: 1887: 1860: 1858:{\displaystyle g_{i}} 1830: 1713: 1681:DeFries–Fulker method 1657: 1622: 1549:observational studies 1503:Iowa State University 1480:Iowa State University 1472:University of Chicago 1380: 1264: 1111: 995: 838: 710:Additive Effect  527: 510:realized heritability 506:response to selection 473: 358: 277: 146:phenotypic plasticity 102:quantitative genetics 100:important concept in 90:environmental factors 40: 6936:Genetic epidemiology 6606:Transcription factor 6321:Genetic assimilation 6308:Genetic architecture 6048:Background selection 6035:on genomic variation 6033:Effects of selection 5985:Population structure 5859:Evolutionary biology 5333:. pp. 123–127. 4842:Psychological Review 3895:missing heritability 3718: 3668: 3628: 3591:Genomic heritability 3581:prenatal environment 3480: 3452: 3426: 3398: 3365: 3337: 3311: 3283: 3257: 3229: 3203: 3182: 3156: 3135: 3098: 3073: 3051: 3031: 2976: 2941: 2914: 2907:is the environment. 2891: 2861: 2834: 2807: 2715: 2571: 2530: 2475: 2454: 2418: 2328: 2307: 2280: 2274:Between sire groups 2228: 2201: 2181: 2161: 1994: 1902: 1876: 1842: 1787: 1578: 1511:analysis of variance 1446:experimental control 1406:academic achievement 1402:missing heritability 1276: 1125: 1007: 856: 591: 514:artificial selection 404: 289: 256: 157:statistical analyses 6946:Population genetics 6808:Georgii Karpechenko 6702:Morphogenetic field 6619:Influential figures 6167:Population genomics 6043:Genetic hitchhiking 5930:Identity by descent 5906:Population genetics 5849:Population genetics 5503:1975Sci...190.1163F 5497:(4220): 1163–1168. 5323:Bentall RP (2009). 5080:2016PNAS..113.7377H 4750:2012PNAS..109.1193Z 4556:Journal of Heredity 4294:Canadian Psychology 4285:Wahlsten D (1994). 3913:Behavioral genetics 3850:behavioral sciences 3813:improve the article 3565:family of programs 3509:Linear mixed models 3125: 2412:Within sire groups 2295:{\displaystyle n-1} 2256: 1673:regress to the mean 1526:genomic relatedness 1522:linear mixed models 1255: 1219: 1183: 986: 950: 914: 94:observational error 6391:Genomic imprinting 6153:Landscape genetics 5757:2006-02-06 at the 5607:(5 Suppl): S32–8. 5445:(1743): 20170064. 5255:10.1093/ije/dyl064 4889:10.1007/BF01066239 4475:10.1037/bul0000131 4235:10.1007/BF02259512 3923:Heritability of IQ 3890:population-genetic 3766: 3690: 3659:breeder's equation 3647: 3622:selective breeding 3618: 3493: 3465: 3432: 3411: 3378: 3350: 3317: 3296: 3263: 3242: 3209: 3188: 3162: 3141: 3123: 3107: 3085:{\displaystyle r=} 3082: 3057: 3037: 3014: 2954: 2927: 2897: 2877: 2847: 2820: 2788: 2679: 2553: 2511: 2460: 2439: 2398: 2313: 2292: 2254: 2241: 2214: 2187: 2167: 2135: 1950: 1882: 1855: 1825: 1729:Falconer's formula 1721:assortative mating 1716: 1687:Sibling comparison 1664: 1617: 1375: 1259: 1238: 1202: 1166: 1106: 990: 969: 933: 897: 833: 831: 530: 489:for narrow sense. 468: 353: 272: 106:selective breeding 104:, particularly in 47: 6923: 6922: 6905:Pavlovian session 6777:Nikita Khrushchev 6719: 6718: 6652:Eric F. Wieschaus 6614: 6613: 6432:Pattern formation 6336:Fitness landscape 6198: 6197: 6148:Genetic genealogy 6143:Fitness landscape 5872: 5871: 5694:978-0-87893-481-2 5650:978-1-317-60590-4 5634:Joseph J (2014). 5340:978-0-8147-8723-6 5298:978-1-898059-47-9 5284:The Gene Illusion 5277:Joseph J (2004). 5219:978-0-582-24302-6 5192:978-0-7167-2056-0 4955:Behavior Genetics 4877:Behavior Genetics 4593:978-0-87893-308-2 3988:978-0-393-26313-8 3886:molecular-genetic 3834: 3833: 3585:genetic dominance 3573:reverse causality 3506: 3505: 3491: 3463: 3435:{\displaystyle 0} 3409: 3376: 3348: 3320:{\displaystyle 0} 3294: 3266:{\displaystyle 0} 3240: 3223:Parent-Offspring 3212:{\displaystyle 1} 3191:{\displaystyle 1} 3144:{\displaystyle r} 3040:{\displaystyle r} 2900:{\displaystyle e} 2698:statistical power 2677: 2624: 2541: 2524: 2523: 2486: 2463:{\displaystyle W} 2382: 2339: 2316:{\displaystyle S} 2190:{\displaystyle r} 2170:{\displaystyle n} 2123: 2093: 2065: 1970:within sire group 1932: 1885:{\displaystyle e} 1734:=2(r(MZ)-r(DZ)). 1615: 1602: 1486:was developed by 1458:was developed by 1456:school of thought 1389:linear regression 773: 711: 703: 466: 351: 208:) + Environment ( 126:genetic variation 110:behavior genetics 78:genetic variation 16:(Redirected from 6953: 6746: 6739: 6732: 6723: 6662:William McGinnis 6631:Richard Lewontin 6626:C. H. Waddington 6498: 6475:Neutral networks 6225: 6218: 6211: 6202: 6107:J. B. S. Haldane 5899: 5892: 5885: 5876: 5788: 5781: 5774: 5765: 5735: 5698: 5669: 5668: 5666: 5665: 5659: 5642: 5631: 5625: 5624: 5613:10.1002/hast.496 5596: 5590: 5589: 5572:(3–4): 227–241. 5561: 5552: 5549: 5543: 5542: 5540: 5538: 5482: 5476: 5475: 5462: 5430: 5424: 5423: 5412:10.1002/wcs.1400 5395: 5389: 5388: 5386: 5384: 5362: 5356: 5355: 5353: 5352: 5320: 5314: 5313: 5311: 5310: 5274: 5268: 5267: 5257: 5230: 5224: 5223: 5203: 5197: 5196: 5176: 5170: 5169: 5168: 5162: 5152: 5142: 5118: 5112: 5111: 5101: 5091: 5059: 5053: 5052: 5050: 5049: 5043: 5004: 4995: 4989: 4988: 4978: 4946: 4940: 4939: 4924:(4th ed.). 4915: 4909: 4908: 4872: 4866: 4865: 4854:10.1037/h0043487 4837: 4831: 4830: 4820: 4788: 4782: 4781: 4771: 4761: 4729: 4723: 4722: 4720: 4719: 4699: 4693: 4692: 4676: 4665: 4664: 4662: 4660: 4654: 4615: 4606: 4600: 4597: 4574: 4572: 4549:Wills C (2007). 4546: 4540: 4539: 4503: 4497: 4496: 4486: 4454: 4448: 4447: 4445: 4444: 4438: 4399: 4386: 4375: 4374: 4338: 4332: 4331: 4329: 4328: 4322: 4291: 4282: 4276: 4275: 4273: 4272: 4246: 4214: 4208: 4207: 4205: 4204: 4198: 4175: 4149: 4140: 4131: 4130: 4128: 4127: 4121: 4091:(9): 1304–1310. 4082: 4073: 4064: 4063: 4053: 4021: 4015: 4014: 4008: 4000: 3974: 3968: 3967: 3965: 3963: 3948:Nature Education 3939: 3829: 3826: 3820: 3796: 3795: 3788: 3775: 3773: 3772: 3767: 3756: 3745: 3731: 3699: 3697: 3696: 3691: 3686: 3685: 3656: 3654: 3653: 3648: 3643: 3642: 3577:maternal effects 3531:Bayesian methods 3502: 3500: 3499: 3494: 3492: 3484: 3474: 3472: 3471: 3466: 3464: 3456: 3441: 3439: 3438: 3433: 3420: 3418: 3417: 3412: 3410: 3402: 3387: 3385: 3384: 3379: 3377: 3369: 3359: 3357: 3356: 3351: 3349: 3341: 3326: 3324: 3323: 3318: 3305: 3303: 3302: 3297: 3295: 3287: 3272: 3270: 3269: 3264: 3251: 3249: 3248: 3243: 3241: 3233: 3218: 3216: 3215: 3210: 3197: 3195: 3194: 3189: 3176:Identical Twins 3171: 3169: 3168: 3163: 3150: 3148: 3147: 3142: 3126: 3116: 3114: 3113: 3108: 3091: 3089: 3088: 3083: 3066: 3064: 3063: 3058: 3046: 3044: 3043: 3038: 3023: 3021: 3020: 3015: 3010: 3009: 2994: 2993: 2966:linear functions 2963: 2961: 2960: 2955: 2953: 2952: 2936: 2934: 2933: 2928: 2926: 2925: 2906: 2904: 2903: 2898: 2886: 2884: 2883: 2878: 2876: 2875: 2856: 2854: 2853: 2848: 2846: 2845: 2829: 2827: 2826: 2821: 2819: 2818: 2797: 2795: 2794: 2789: 2778: 2777: 2762: 2761: 2749: 2748: 2730: 2729: 2688: 2686: 2685: 2680: 2678: 2676: 2650: 2630: 2625: 2623: 2622: 2621: 2609: 2608: 2598: 2597: 2588: 2583: 2582: 2562: 2560: 2559: 2554: 2552: 2551: 2542: 2534: 2520: 2518: 2517: 2512: 2510: 2509: 2497: 2496: 2487: 2479: 2469: 2467: 2466: 2461: 2448: 2446: 2445: 2440: 2407: 2405: 2404: 2399: 2394: 2393: 2392: 2383: 2375: 2363: 2362: 2350: 2349: 2340: 2332: 2322: 2320: 2319: 2314: 2301: 2299: 2298: 2293: 2257: 2250: 2248: 2247: 2242: 2240: 2239: 2223: 2221: 2220: 2215: 2213: 2212: 2196: 2194: 2193: 2188: 2176: 2174: 2173: 2168: 2144: 2142: 2141: 2136: 2134: 2133: 2124: 2116: 2108: 2094: 2086: 2066: 2058: 2047: 2027: 2010: 1981:among sire group 1959: 1957: 1956: 1951: 1943: 1942: 1933: 1925: 1914: 1913: 1891: 1889: 1888: 1883: 1864: 1862: 1861: 1856: 1854: 1853: 1834: 1832: 1831: 1826: 1818: 1817: 1799: 1798: 1626: 1624: 1623: 1618: 1616: 1608: 1603: 1595: 1590: 1589: 1497:and expanded at 1384: 1382: 1381: 1376: 1368: 1367: 1337: 1336: 1306: 1305: 1268: 1266: 1265: 1260: 1254: 1249: 1218: 1213: 1182: 1177: 1138: 1115: 1113: 1112: 1107: 1099: 1098: 1068: 1067: 1037: 1036: 999: 997: 996: 991: 985: 980: 949: 944: 913: 908: 869: 847:weighted average 842: 840: 839: 834: 832: 819: 818: 809: 808: 790: 789: 774: 771: 760: 759: 747: 746: 728: 727: 712: 709: 704: 701: 693: 686: 685: 676: 675: 653: 652: 640: 639: 610: 609: 477: 475: 474: 469: 467: 465: 455: 443: 433: 421: 416: 415: 362: 360: 359: 354: 352: 350: 340: 328: 318: 306: 301: 300: 281: 279: 278: 273: 268: 267: 70:phenotypic trait 21: 6961: 6960: 6956: 6955: 6954: 6952: 6951: 6950: 6926: 6925: 6924: 6919: 6888:Soviet policies 6883: 6837: 6833:Nikolai Vavilov 6813:Zhores Medvedev 6803:WacĹ‚aw Gajewski 6791: 6755: 6750: 6720: 6715: 6706: 6685: 6672:Sean B. Carroll 6610: 6542: 6489: 6453: 6405: 6386:Maternal effect 6369: 6302: 6239: 6229: 6199: 6194: 6181: 6116: 6090: 6052: 6036: 6034: 6027: 5994: 5925:Genetic linkage 5908: 5903: 5873: 5868: 5837: 5801: 5792: 5759:Wayback Machine 5743: 5738: 5716:10.1002/per.835 5701: 5695: 5682: 5678: 5676:Further reading 5673: 5672: 5663: 5661: 5657: 5651: 5640: 5633: 5632: 5628: 5598: 5597: 5593: 5563: 5562: 5555: 5550: 5546: 5536: 5534: 5484: 5483: 5479: 5432: 5431: 5427: 5397: 5396: 5392: 5382: 5380: 5364: 5363: 5359: 5350: 5348: 5341: 5322: 5321: 5317: 5308: 5306: 5299: 5291:. p. 141. 5276: 5275: 5271: 5232: 5231: 5227: 5220: 5205: 5204: 5200: 5193: 5178: 5177: 5173: 5163: 5133:(2): e1000008. 5120: 5119: 5115: 5074:(27): 7377–82. 5061: 5060: 5056: 5047: 5045: 5041: 5002: 4997: 4996: 4992: 4948: 4947: 4943: 4936: 4917: 4916: 4912: 4874: 4873: 4869: 4839: 4838: 4834: 4790: 4789: 4785: 4731: 4730: 4726: 4717: 4715: 4701: 4700: 4696: 4678: 4677: 4668: 4658: 4656: 4652: 4613: 4608: 4607: 4603: 4594: 4581: 4559:(Book Review). 4548: 4547: 4543: 4505: 4504: 4500: 4456: 4455: 4451: 4442: 4440: 4436: 4414:10.1038/nrg2322 4397: 4388: 4387: 4378: 4340: 4339: 4335: 4326: 4324: 4320: 4289: 4284: 4283: 4279: 4270: 4268: 4216: 4215: 4211: 4202: 4200: 4196: 4152:Nature Genetics 4147: 4142: 4141: 4134: 4125: 4123: 4119: 4097:10.1038/ng.3941 4085:Nature Genetics 4080: 4075: 4074: 4067: 4023: 4022: 4018: 4001: 3989: 3976: 3975: 3971: 3961: 3959: 3941: 3940: 3936: 3931: 3909: 3854:social sciences 3846:Richard Bentall 3830: 3824: 3821: 3810: 3797: 3793: 3786: 3716: 3715: 3677: 3666: 3665: 3634: 3626: 3625: 3606: 3593: 3511: 3478: 3477: 3450: 3449: 3424: 3423: 3396: 3395: 3363: 3362: 3335: 3334: 3309: 3308: 3281: 3280: 3255: 3254: 3227: 3226: 3201: 3200: 3180: 3179: 3154: 3153: 3133: 3132: 3096: 3095: 3071: 3070: 3049: 3048: 3029: 3028: 3001: 2985: 2974: 2973: 2944: 2939: 2938: 2917: 2912: 2911: 2889: 2888: 2864: 2859: 2858: 2837: 2832: 2831: 2810: 2805: 2804: 2766: 2753: 2740: 2718: 2713: 2712: 2706: 2651: 2631: 2613: 2600: 2599: 2589: 2574: 2569: 2568: 2543: 2528: 2527: 2501: 2488: 2473: 2472: 2452: 2451: 2416: 2415: 2384: 2354: 2341: 2326: 2325: 2305: 2304: 2278: 2277: 2231: 2226: 2225: 2204: 2199: 2198: 2179: 2178: 2159: 2158: 2155: 2125: 2101: 2020: 1992: 1991: 1966: 1934: 1905: 1900: 1899: 1874: 1873: 1870: 1845: 1840: 1839: 1809: 1790: 1785: 1784: 1778: 1771: 1763: 1708: 1702: 1689: 1652: 1581: 1576: 1575: 1569: 1561: 1533:identical twins 1414: 1397: 1356: 1325: 1294: 1274: 1273: 1123: 1122: 1087: 1056: 1025: 1005: 1004: 854: 853: 830: 829: 810: 800: 778: 751: 738: 716: 702:Population mean 691: 690: 677: 667: 644: 631: 611: 598: 589: 588: 584: 577: 566: 559: 552: 545: 522: 444: 422: 407: 402: 401: 329: 307: 292: 287: 286: 259: 254: 253: 190: 150:transcriptional 122: 112:(for instance, 76:that is due to 35: 28: 23: 22: 18:Heritable trait 15: 12: 11: 5: 6959: 6957: 6949: 6948: 6943: 6938: 6928: 6927: 6921: 6920: 6918: 6917: 6912: 6907: 6902: 6897: 6891: 6889: 6885: 6884: 6882: 6881: 6876: 6871: 6866: 6861: 6856: 6851: 6845: 6843: 6839: 6838: 6836: 6835: 6830: 6825: 6820: 6818:Georgii Nadson 6815: 6810: 6805: 6799: 6797: 6793: 6792: 6790: 6789: 6784: 6779: 6774: 6769: 6767:Trofim Lysenko 6763: 6761: 6757: 6756: 6751: 6749: 6748: 6741: 6734: 6726: 6717: 6716: 6711: 6708: 6707: 6705: 6704: 6699: 6693: 6691: 6687: 6686: 6684: 6683: 6682: 6681: 6669: 6664: 6659: 6654: 6649: 6648: 6647: 6636:François Jacob 6633: 6628: 6622: 6620: 6616: 6615: 6612: 6611: 6609: 6608: 6603: 6598: 6593: 6588: 6583: 6578: 6573: 6572: 6571: 6561: 6556: 6550: 6548: 6544: 6543: 6541: 6540: 6535: 6530: 6525: 6520: 6515: 6510: 6504: 6502: 6495: 6491: 6490: 6488: 6487: 6482: 6477: 6472: 6467: 6461: 6459: 6455: 6454: 6452: 6451: 6446: 6441: 6436: 6435: 6434: 6429: 6419: 6413: 6411: 6407: 6406: 6404: 6403: 6398: 6393: 6388: 6383: 6377: 6375: 6371: 6370: 6368: 6367: 6365:Sequence space 6362: 6357: 6352: 6347: 6342: 6333: 6328: 6323: 6318: 6312: 6310: 6304: 6303: 6301: 6300: 6295: 6294: 6293: 6283: 6278: 6273: 6268: 6263: 6258: 6253: 6247: 6245: 6241: 6240: 6230: 6228: 6227: 6220: 6213: 6205: 6196: 6195: 6193: 6192: 6186: 6183: 6182: 6180: 6179: 6174: 6172:Phylogeography 6169: 6164: 6162:Microevolution 6159: 6150: 6145: 6140: 6135: 6130: 6124: 6122: 6121:Related topics 6118: 6117: 6115: 6114: 6109: 6104: 6098: 6096: 6092: 6091: 6089: 6088: 6083: 6078: 6076:Founder effect 6073: 6068: 6062: 6060: 6054: 6053: 6051: 6050: 6045: 6039: 6037: 6032: 6029: 6028: 6026: 6025: 6020: 6015: 6010: 6004: 6002: 5996: 5995: 5993: 5992: 5987: 5982: 5977: 5972: 5967: 5962: 5957: 5955:Price equation 5952: 5947: 5945:Neutral theory 5942: 5937: 5932: 5927: 5922: 5916: 5914: 5910: 5909: 5904: 5902: 5901: 5894: 5887: 5879: 5870: 5869: 5867: 5866: 5861: 5856: 5851: 5845: 5843: 5842:Related Topics 5839: 5838: 5836: 5835: 5830: 5828:Candidate gene 5825: 5820: 5815: 5809: 5807: 5803: 5802: 5793: 5791: 5790: 5783: 5776: 5768: 5762: 5761: 5749: 5742: 5741:External links 5739: 5737: 5736: 5710:(4): 287–294. 5699: 5693: 5679: 5677: 5674: 5671: 5670: 5649: 5626: 5591: 5553: 5544: 5477: 5425: 5406:(1–2): e1400. 5390: 5357: 5339: 5315: 5297: 5269: 5225: 5218: 5198: 5191: 5171: 5113: 5054: 5013:(1): 109–120. 4990: 4941: 4935:978-0582243026 4934: 4910: 4867: 4832: 4783: 4724: 4704:"Heritability" 4694: 4666: 4624:(5): 160–164. 4601: 4599: 4598: 4592: 4541: 4498: 4449: 4376: 4333: 4300:(3): 244–260. 4277: 4229:(2–3): 89–96. 4209: 4158:(8): 859–864. 4132: 4065: 4016: 3987: 3969: 3933: 3932: 3930: 3927: 3926: 3925: 3920: 3915: 3908: 3905: 3832: 3831: 3800: 3798: 3791: 3785: 3782: 3765: 3762: 3759: 3755: 3752: 3749: 3744: 3740: 3737: 3734: 3730: 3727: 3724: 3701: 3700: 3689: 3684: 3680: 3676: 3673: 3646: 3641: 3637: 3633: 3605: 3602: 3592: 3589: 3510: 3507: 3504: 3503: 3490: 3487: 3475: 3462: 3459: 3447: 3443: 3442: 3431: 3421: 3408: 3405: 3393: 3392:First Cousins 3389: 3388: 3375: 3372: 3360: 3347: 3344: 3332: 3331:Full Siblings 3328: 3327: 3316: 3306: 3293: 3290: 3278: 3277:Half Siblings 3274: 3273: 3262: 3252: 3239: 3236: 3224: 3220: 3219: 3208: 3198: 3187: 3177: 3173: 3172: 3161: 3151: 3140: 3130: 3106: 3103: 3081: 3078: 3056: 3036: 3025: 3024: 3013: 3008: 3004: 3000: 2997: 2992: 2988: 2984: 2981: 2951: 2947: 2924: 2920: 2896: 2874: 2871: 2867: 2844: 2840: 2817: 2813: 2799: 2798: 2787: 2784: 2781: 2776: 2773: 2769: 2765: 2760: 2756: 2752: 2747: 2743: 2739: 2736: 2733: 2728: 2725: 2721: 2705: 2702: 2675: 2672: 2669: 2666: 2663: 2660: 2657: 2654: 2649: 2646: 2643: 2640: 2637: 2634: 2628: 2620: 2616: 2612: 2607: 2603: 2596: 2592: 2586: 2581: 2577: 2550: 2546: 2540: 2537: 2522: 2521: 2508: 2504: 2500: 2495: 2491: 2485: 2482: 2470: 2459: 2449: 2438: 2435: 2432: 2429: 2426: 2423: 2413: 2409: 2408: 2397: 2391: 2387: 2381: 2378: 2372: 2369: 2366: 2361: 2357: 2353: 2348: 2344: 2338: 2335: 2323: 2312: 2302: 2291: 2288: 2285: 2275: 2271: 2270: 2267: 2264: 2261: 2238: 2234: 2211: 2207: 2186: 2166: 2154: 2151: 2147: 2146: 2132: 2128: 2122: 2119: 2114: 2111: 2107: 2104: 2100: 2097: 2092: 2089: 2084: 2081: 2078: 2075: 2072: 2069: 2064: 2061: 2056: 2053: 2050: 2046: 2043: 2040: 2037: 2033: 2030: 2026: 2023: 2019: 2016: 2013: 2009: 2006: 2003: 2000: 1965: 1962: 1961: 1960: 1949: 1946: 1941: 1937: 1931: 1928: 1923: 1920: 1917: 1912: 1908: 1881: 1868: 1852: 1848: 1836: 1835: 1824: 1821: 1816: 1812: 1808: 1805: 1802: 1797: 1793: 1776: 1770: 1767: 1762: 1759: 1704:Main article: 1701: 1698: 1688: 1685: 1660:Francis Galton 1651: 1648: 1628: 1627: 1614: 1611: 1606: 1601: 1598: 1593: 1588: 1584: 1568: 1565: 1560: 1557: 1438:standard error 1413: 1410: 1396: 1393: 1374: 1371: 1366: 1363: 1359: 1355: 1352: 1349: 1346: 1343: 1340: 1335: 1332: 1328: 1324: 1321: 1318: 1315: 1312: 1309: 1304: 1301: 1297: 1293: 1290: 1287: 1284: 1281: 1270: 1269: 1258: 1253: 1248: 1245: 1241: 1237: 1234: 1231: 1228: 1225: 1222: 1217: 1212: 1209: 1205: 1201: 1198: 1195: 1192: 1189: 1186: 1181: 1176: 1173: 1169: 1165: 1162: 1159: 1156: 1153: 1150: 1147: 1144: 1141: 1137: 1134: 1131: 1105: 1102: 1097: 1094: 1090: 1086: 1083: 1080: 1077: 1074: 1071: 1066: 1063: 1059: 1055: 1052: 1049: 1046: 1043: 1040: 1035: 1032: 1028: 1024: 1021: 1018: 1015: 1012: 1001: 1000: 989: 984: 979: 976: 972: 968: 965: 962: 959: 956: 953: 948: 943: 940: 936: 932: 929: 926: 923: 920: 917: 912: 907: 904: 900: 896: 893: 890: 887: 884: 881: 878: 875: 872: 868: 865: 862: 828: 825: 822: 817: 813: 807: 803: 799: 796: 793: 788: 785: 781: 777: 769: 766: 763: 758: 754: 750: 745: 741: 737: 734: 731: 726: 723: 719: 715: 707: 699: 696: 694: 692: 689: 684: 680: 674: 670: 666: 662: 659: 656: 651: 647: 643: 638: 634: 630: 626: 623: 620: 617: 614: 612: 608: 605: 601: 597: 596: 582: 575: 564: 557: 550: 543: 535:The number of 521: 518: 481:An upper case 479: 478: 464: 461: 458: 454: 451: 448: 442: 439: 436: 432: 429: 426: 419: 414: 410: 364: 363: 349: 346: 343: 339: 336: 333: 327: 324: 321: 317: 314: 311: 304: 299: 295: 282:is defined as 271: 266: 262: 242: 241: 214: 213: 204:) = Genotype ( 189: 186: 121: 118: 26: 24: 14: 13: 10: 9: 6: 4: 3: 2: 6958: 6947: 6944: 6942: 6939: 6937: 6934: 6933: 6931: 6916: 6913: 6911: 6908: 6906: 6903: 6901: 6898: 6896: 6893: 6892: 6890: 6886: 6880: 6879:Vernalization 6877: 6875: 6872: 6870: 6867: 6865: 6862: 6860: 6859:Hybridization 6857: 6855: 6852: 6850: 6847: 6846: 6844: 6840: 6834: 6831: 6829: 6826: 6824: 6821: 6819: 6816: 6814: 6811: 6809: 6806: 6804: 6801: 6800: 6798: 6794: 6788: 6785: 6783: 6782:Joseph Stalin 6780: 6778: 6775: 6773: 6770: 6768: 6765: 6764: 6762: 6758: 6754: 6747: 6742: 6740: 6735: 6733: 6728: 6727: 6724: 6714: 6709: 6703: 6700: 6698: 6695: 6694: 6692: 6688: 6680: 6679: 6675: 6674: 6673: 6670: 6668: 6665: 6663: 6660: 6658: 6655: 6653: 6650: 6646: 6643: 6642: 6641: 6640:Jacques Monod 6637: 6634: 6632: 6629: 6627: 6624: 6623: 6621: 6617: 6607: 6604: 6602: 6599: 6597: 6594: 6592: 6589: 6587: 6584: 6582: 6579: 6577: 6574: 6570: 6567: 6566: 6565: 6562: 6560: 6557: 6555: 6554:Homeotic gene 6552: 6551: 6549: 6545: 6539: 6536: 6534: 6531: 6529: 6526: 6524: 6521: 6519: 6516: 6514: 6511: 6509: 6506: 6505: 6503: 6499: 6496: 6492: 6486: 6483: 6481: 6478: 6476: 6473: 6471: 6468: 6466: 6463: 6462: 6460: 6456: 6450: 6447: 6445: 6442: 6440: 6437: 6433: 6430: 6428: 6425: 6424: 6423: 6422:Morphogenesis 6420: 6418: 6415: 6414: 6412: 6408: 6402: 6399: 6397: 6394: 6392: 6389: 6387: 6384: 6382: 6379: 6378: 6376: 6372: 6366: 6363: 6361: 6358: 6356: 6353: 6351: 6348: 6346: 6343: 6341: 6337: 6334: 6332: 6329: 6327: 6324: 6322: 6319: 6317: 6314: 6313: 6311: 6309: 6305: 6299: 6296: 6292: 6289: 6288: 6287: 6284: 6282: 6279: 6277: 6274: 6272: 6269: 6267: 6264: 6262: 6259: 6257: 6256:Reaction norm 6254: 6252: 6249: 6248: 6246: 6242: 6238: 6234: 6226: 6221: 6219: 6214: 6212: 6207: 6206: 6203: 6191: 6188: 6187: 6184: 6178: 6175: 6173: 6170: 6168: 6165: 6163: 6160: 6158: 6154: 6151: 6149: 6146: 6144: 6141: 6139: 6136: 6134: 6131: 6129: 6126: 6125: 6123: 6119: 6113: 6112:Sewall Wright 6110: 6108: 6105: 6103: 6100: 6099: 6097: 6093: 6087: 6084: 6082: 6079: 6077: 6074: 6072: 6069: 6067: 6064: 6063: 6061: 6059: 6058:Genetic drift 6055: 6049: 6046: 6044: 6041: 6040: 6038: 6030: 6024: 6021: 6019: 6016: 6014: 6011: 6009: 6006: 6005: 6003: 6001: 5997: 5991: 5988: 5986: 5983: 5981: 5978: 5976: 5973: 5971: 5968: 5966: 5963: 5961: 5958: 5956: 5953: 5951: 5948: 5946: 5943: 5941: 5938: 5936: 5933: 5931: 5928: 5926: 5923: 5921: 5918: 5917: 5915: 5911: 5907: 5900: 5895: 5893: 5888: 5886: 5881: 5880: 5877: 5865: 5862: 5860: 5857: 5855: 5852: 5850: 5847: 5846: 5844: 5840: 5834: 5831: 5829: 5826: 5824: 5821: 5819: 5816: 5814: 5811: 5810: 5808: 5804: 5800: 5796: 5789: 5784: 5782: 5777: 5775: 5770: 5769: 5766: 5760: 5756: 5753: 5750: 5748: 5745: 5744: 5740: 5733: 5729: 5725: 5721: 5717: 5713: 5709: 5705: 5700: 5696: 5690: 5686: 5681: 5680: 5675: 5656: 5652: 5646: 5639: 5638: 5630: 5627: 5622: 5618: 5614: 5610: 5606: 5602: 5595: 5592: 5587: 5583: 5579: 5575: 5571: 5567: 5560: 5558: 5554: 5548: 5545: 5532: 5528: 5524: 5520: 5516: 5512: 5508: 5504: 5500: 5496: 5492: 5488: 5481: 5478: 5474: 5470: 5466: 5461: 5456: 5452: 5448: 5444: 5440: 5436: 5429: 5426: 5421: 5417: 5413: 5409: 5405: 5401: 5394: 5391: 5378: 5374: 5373: 5372:The Telegraph 5368: 5361: 5358: 5346: 5342: 5336: 5332: 5328: 5327: 5319: 5316: 5304: 5300: 5294: 5290: 5286: 5285: 5280: 5273: 5270: 5265: 5261: 5256: 5251: 5247: 5243: 5239: 5236:(June 2006). 5235: 5229: 5226: 5221: 5215: 5211: 5210: 5202: 5199: 5194: 5188: 5184: 5183: 5175: 5172: 5167: 5160: 5156: 5151: 5146: 5141: 5136: 5132: 5128: 5127:PLOS Genetics 5124: 5117: 5114: 5109: 5105: 5100: 5095: 5090: 5085: 5081: 5077: 5073: 5069: 5065: 5058: 5055: 5040: 5036: 5032: 5028: 5024: 5020: 5016: 5012: 5008: 5001: 4994: 4991: 4986: 4982: 4977: 4972: 4968: 4964: 4960: 4956: 4952: 4945: 4942: 4937: 4931: 4927: 4923: 4922: 4914: 4911: 4906: 4902: 4898: 4894: 4890: 4886: 4883:(5): 467–73. 4882: 4878: 4871: 4868: 4863: 4859: 4855: 4851: 4848:(6): 353–72. 4847: 4843: 4836: 4833: 4828: 4824: 4819: 4814: 4810: 4806: 4802: 4798: 4794: 4787: 4784: 4779: 4775: 4770: 4765: 4760: 4755: 4751: 4747: 4744:(4): 1193–8. 4743: 4739: 4735: 4728: 4725: 4713: 4709: 4705: 4698: 4695: 4690: 4686: 4682: 4675: 4673: 4671: 4667: 4651: 4647: 4643: 4639: 4635: 4631: 4627: 4623: 4619: 4612: 4605: 4602: 4595: 4589: 4585: 4579: 4576: 4575: 4571: 4566: 4562: 4558: 4557: 4552: 4545: 4542: 4537: 4533: 4529: 4525: 4521: 4517: 4514:(2): 99–128. 4513: 4509: 4502: 4499: 4494: 4490: 4485: 4480: 4476: 4472: 4468: 4464: 4460: 4453: 4450: 4435: 4431: 4427: 4423: 4419: 4415: 4411: 4408:(4): 255–66. 4407: 4403: 4396: 4392: 4389:Visscher PM, 4385: 4383: 4381: 4377: 4372: 4368: 4364: 4360: 4356: 4352: 4348: 4344: 4337: 4334: 4319: 4315: 4311: 4307: 4303: 4299: 4295: 4288: 4281: 4278: 4266: 4262: 4258: 4254: 4250: 4245: 4244:2027.42/42804 4240: 4236: 4232: 4228: 4224: 4220: 4213: 4210: 4195: 4191: 4187: 4183: 4179: 4174: 4169: 4165: 4161: 4157: 4153: 4146: 4139: 4137: 4133: 4118: 4114: 4110: 4106: 4102: 4098: 4094: 4090: 4086: 4079: 4072: 4070: 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3129:Relationship 3128: 3127: 3121: 3118: 3104: 3101: 3093: 3079: 3076: 3068: 3067:are found as 3054: 3034: 3011: 3006: 3002: 2998: 2995: 2990: 2986: 2982: 2979: 2971: 2970: 2969: 2967: 2949: 2945: 2922: 2918: 2908: 2894: 2872: 2869: 2865: 2842: 2838: 2815: 2811: 2802: 2785: 2782: 2779: 2774: 2771: 2767: 2763: 2758: 2754: 2750: 2745: 2741: 2737: 2734: 2731: 2726: 2723: 2719: 2711: 2710: 2709: 2703: 2701: 2699: 2695: 2690: 2673: 2667: 2664: 2661: 2655: 2652: 2644: 2641: 2638: 2632: 2626: 2618: 2614: 2610: 2605: 2601: 2594: 2590: 2584: 2579: 2575: 2566: 2548: 2544: 2538: 2535: 2506: 2502: 2498: 2493: 2489: 2483: 2480: 2471: 2457: 2450: 2433: 2430: 2427: 2421: 2414: 2411: 2410: 2389: 2385: 2379: 2376: 2367: 2364: 2359: 2355: 2351: 2346: 2342: 2336: 2333: 2324: 2310: 2303: 2289: 2286: 2283: 2276: 2273: 2272: 2268: 2265: 2262: 2259: 2258: 2252: 2236: 2232: 2209: 2205: 2184: 2164: 2152: 2150: 2130: 2126: 2120: 2117: 2112: 2105: 2102: 2098: 2095: 2090: 2087: 2082: 2079: 2076: 2073: 2070: 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D. Bernal 6676: 6569:eyeless gene 6465:Evolvability 6439:Segmentation 6316:Canalisation 6286:Heterochrony 6276:Heritability 6275: 6244:Key concepts 6128:Biogeography 6102:R. A. Fisher 5980:Heritability 5979: 5913:Key concepts 5813:Heritability 5812: 5707: 5703: 5684: 5662:. Retrieved 5636: 5629: 5604: 5600: 5594: 5569: 5565: 5547: 5535:. Retrieved 5494: 5490: 5480: 5472: 5442: 5438: 5428: 5403: 5399: 5393: 5381:. Retrieved 5370: 5360: 5349:. Retrieved 5329:. New York: 5325: 5318: 5307:. Retrieved 5287:. New York: 5283: 5272: 5248:(3): 525–7. 5245: 5241: 5228: 5208: 5201: 5181: 5174: 5130: 5126: 5116: 5071: 5067: 5057: 5046:. Retrieved 5010: 5006: 4993: 4961:(1): 44–54. 4958: 4954: 4944: 4920: 4913: 4880: 4876: 4870: 4845: 4841: 4835: 4800: 4796: 4786: 4741: 4737: 4727: 4716:. Retrieved 4707: 4697: 4680: 4657:. Retrieved 4621: 4617: 4604: 4583: 4577: 4560: 4554: 4544: 4511: 4507: 4501: 4469:(1): 26–47. 4466: 4462: 4452: 4441:. Retrieved 4405: 4401: 4346: 4342: 4336: 4325:. 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Fisher 1492: 1453: 1450: 1442: 1417: 1415: 1398: 1386: 1271: 1117: 1002: 844: 587: 579: 572: 568: 561: 554: 547: 540: 536: 534: 531: 509: 505: 499: 491: 486: 482: 480: 387: 366: 365: 249: 245: 243: 237: 233: 229: 225: 221: 215: 209: 205: 201: 191: 174: 154: 139: 123: 114:twin studies 98: 92:, including 87: 82: 65: 50:Heritability 49: 48: 42: 6828:Tan Jiazhen 6823:Hans Stubbe 6760:Lysenkoists 6667:Mike Levine 6576:Distal-less 6401:Polyphenism 6381:Epigenetics 6233:development 6081:Coalescence 5279:"Chapter 5" 4349:(1): 1–27. 4173:10616/47311 3866:David Shenk 3862:David Moore 3838:Steven Rose 3825:August 2016 1769:Basic model 1725:correlation 1694:familiarity 1422:statistical 1416:Since only 1395:Assumptions 569:interaction 200:Phenotype ( 43:differences 6930:Categories 6869:Lamarckism 6796:Dissidents 6753:Lysenkoism 6645:Lac operon 6470:Robustness 6449:Modularity 6444:Metamerism 6350:Plasticity 6345:Pleiotropy 6298:Heterotopy 6023:Ecological 6013:Artificial 5664:2016-04-02 5351:2016-04-02 5309:2016-04-02 5048:2020-09-06 4803:: 422–39. 4718:2020-02-20 4659:29 October 4563:(4): 382. 4443:2015-08-28 4327:2019-12-05 4271:2020-12-24 4203:2021-02-08 4126:2020-09-06 3929:References 3842:Jay Joseph 3805:unbalanced 3529:(REML) or 2177:sires and 1985:error term 1757:=1-r(MZ). 1706:Twin study 1669:regression 1658:Figure 2. 1538:twin study 1476:J. 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Li 571:between 371:dominant 228:) + Var( 224:) = Var( 142:canalize 120:Overview 62:genetics 58:breeding 32:heredity 6690:Debates 6501:Systems 6427:Eyespot 6291:Neoteny 6008:Natural 5975:Fitness 5527:6797128 5519:1198102 5499:Bibcode 5491:Science 5460:5812976 5383:4 April 5234:Rose SP 5150:2265475 5099:4941438 5076:Bibcode 4976:2226023 4926:Longman 4905:1172312 4897:4074272 4818:4888873 4769:3268279 4746:Bibcode 4646:2861437 4528:7554794 4484:5754247 4391:Hill WG 4253:9463077 4113:8790524 4051:3014363 3962:24 July 3897:problem 3871:Feldman 3811:Please 3803:may be 3563:BLUPF90 3561:or the 3092:P, and 2260:Source 1745:=DZ-1/2 1426:genetic 520:Example 390:alleles 194:modeled 6591:Ligand 6271:Operon 6018:Sexual 5730:  5722:  5691:  5647:  5619:  5584:  5537:20 May 5525:  5517:  5467:  5457:  5418:  5337:  5295:  5289:Algora 5262:  5216:  5189:  5157:  5147:  5106:  5096:  5033:  5025:  4983:  4973:  4932:  4903:  4895:  4860:  4825:  4815:  4776:  4766:  4687:  4644:  4636:  4590:  4534:  4526:  4491:  4481:  4430:690431 4428:  4420:  4369:  4361:  4312:  4259:  4251:  4188:  4180:  4111:  4103:  4058:  4048:  3995:  3985:  3844:, and 3552:, VCE 3550:ASReml 3533:. 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555:B 551:j 548:B 546:, 544:i 541:B 537:B 487:h 483:H 463:) 460:P 457:( 453:r 450:a 447:V 441:) 438:A 435:( 431:r 428:a 425:V 418:= 413:2 409:h 367:H 348:) 345:P 342:( 338:r 335:a 332:V 326:) 323:G 320:( 316:r 313:a 310:V 303:= 298:2 294:H 270:, 265:2 261:H 250:E 248:, 246:G 238:E 236:, 234:G 230:E 226:G 222:P 210:E 206:G 202:P 34:. 20:)

Index

Heritable trait
heredity

statistic
breeding
genetics
phenotypic trait
population
genetic variation
environmental factors
observational error
quantitative genetics
selective breeding
behavior genetics
twin studies
genetic variation
genes
inbreeding
canalize
phenotypic plasticity
transcriptional
statistical analyses
univariate
hair color
eye color
antibiotic
coffee
modeled
dominant
epistatic

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