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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,
4105: 27: 5155: 117:. 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 514: 105:). 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. 5462:...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'. 3598: 3888:. 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, 3783: 830: 1644: 3849:, 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, 493:. 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 3503:
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
1685:– 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. 121:
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.
85:. 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. 1393:" 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 825:{\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}}} 1700: 1730:, 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, 1680:
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.
126:, 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. 3589:. 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. 1256: 987: 1388:
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
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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
1961:). 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 3944: 3866:
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".
4940:"Modeling genetic and environmental factors to increase heritability and ease the identification of candidate genes for birth weight: a twin study" 2559: 6898: 6852: 5624: 1703:
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.
6929: 5978: 5760: 5743: 6645: 1669: 1264: 995: 6924: 6496: 4700: 3850: 3515: 5908: 3706: 3548: 2127:{\displaystyle \mathrm {corr} (z,z')=\mathrm {corr} (\mu +{\frac {1}{2}}g+e,\mu +{\frac {1}{2}}g+e')={\frac {1}{4}}V_{g}} 1566: 6934: 5871: 3882: 3545: 1541: 6463: 5953: 4782:"Nurture net of nature: Re-evaluating the role of shared environments in academic achievement and verbal intelligence" 1890: 1624: 1426: 1425:, siblings, parents and offspring, rather than from more distantly related (and therefore less similar) subjects. The 1437:
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:
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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".
4797: 4524: 4508: 4178: 1483: 1476: 1448: 835: 5720: 5574: 4359: 4249: 370:, where individuals are directly affected by their parents' phenotype, such as with 6760: 6453: 6274: 6116: 5515: 4893: 4634: 4101: 3870: 5752: 5740: 4418: 4207: 1251:{\displaystyle \mathrm {Var} (D)=f(bb)d_{bb}^{2}+f(Bb)d_{Bb}^{2}+f(BB)d_{BB}^{2},} 982:{\displaystyle \mathrm {Var} (A)=f(bb)a_{bb}^{2}+f(Bb)a_{Bb}^{2}+f(BB)a_{BB}^{2},} 5566: 5128: 4343: 6816: 6811: 6389: 6369: 5222: 5110:
Hill WG, Goddard ME, Visscher PM (February 2008). MacKay TF, Goddard ME (eds.).
3854: 3826: 1713: 1699: 1668:, the slope is always less than one). This regression effect also underlies the 1643: 6189: 5315:
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
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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
6857: 6741: 6633: 6333: 6286: 5735: 5112:"Data and theory point to mainly additive genetic variance for complex traits" 5007: 4955: 4152: 3830: 1694: 1526: 1471:). It is based on the analysis of correlations and, by extension, regression. 1410: 166: 154: 150: 123: 102: 62: 5712: 5015: 4677: 4626: 4302: 3985: 2671:{\displaystyle H^{2}={\frac {V_{g}}{V_{g}+V_{e}}}={\frac {4(S-W)}{S+(r-1)W}}} 6584: 6552: 6319: 6225: 6121: 5499: 5077: 4747: 4618: 4558: 4539: 363: 158: 42: 16:
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
460:{\displaystyle h^{2}={\frac {\mathrm {Var} (A)}{\mathrm {Var} (P)}}} 345:{\displaystyle H^{2}={\frac {\mathrm {Var} (G)}{\mathrm {Var} (P)}}} 4067:"Concepts, estimation and interpretation of SNP-based heritability" 3534:
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".
4384:"Heritability in the genomics era--concepts and misconceptions" 1533:, potentially resulting in an underestimation of heritability. 241:) can be controlled and held at 0. In this case, heritability, 5387:
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).
1367:{\displaystyle f(bb)d_{bb}+f(Bb)d_{Bb}+f(BB)d_{BB}=0.} 1098:{\displaystyle f(bb)a_{bb}+f(Bb)a_{Bb}+f(BB)a_{BB}=0.} 4015:"GCTA: a tool for genome-wide complex trait analysis" 3709: 3659: 3619: 3471: 3443: 3417: 3389: 3356: 3328: 3302: 3274: 3248: 3220: 3194: 3173: 3147: 3126: 3089: 3064: 3042: 3022: 2967: 2932: 2905: 2882: 2852: 2825: 2798: 2706: 2562: 2521: 2466: 2445: 2409: 2319: 2298: 2271: 2219: 2192: 2172: 2152: 1985: 1893: 1867: 1833: 1778: 1569: 1267: 1116: 998: 847: 582: 395: 280: 247: 4672:(1st ed.). Ames, Iowa: Iowa State Univ. Press. 4600:"Three Laws of Behavior Genetics and What They Mean" 2876:
is the dominance deviation for the ij genotype, and
6876: 6830: 6784: 6748: 6678: 6607: 6535: 6489: 6482: 6446: 6398: 6362: 6295: 6232: 6109: 6083: 6045: 6020: 5987: 5901: 5830: 5794: 3825:Heritability estimates' prominent critics, such as 3758:{\displaystyle \mathrm {Var} (A)/\mathrm {Var} (P)} 1609:{\displaystyle h^{2}={\frac {b}{r}}={\frac {t}{r}}} 834:The additive genetic variance at this locus is the 5389:Wiley Interdisciplinary Reviews: Cognitive Science 4663: 4661: 4659: 4373: 4371: 4369: 3757: 3681: 3638: 3484: 3456: 3423: 3402: 3369: 3341: 3308: 3287: 3254: 3233: 3200: 3179: 3153: 3132: 3098: 3073: 3048: 3028: 3005: 2945: 2918: 2888: 2868: 2838: 2811: 2779: 2670: 2544: 2502: 2451: 2430: 2389: 2304: 2283: 2232: 2205: 2178: 2158: 2126: 1941: 1873: 1846: 1816: 1608: 1366: 1250: 1097: 981: 824: 459: 344: 263: 5548: 5546: 3576:, shared environment, and maternal gene effects. 185:as the sum of genetic and environmental effects: 4540:"Principles of Population Genetics, 4th edition" 1942:{\displaystyle z_{i}=\mu +{\frac {1}{2}}g_{i}+e} 74:explained by the environment or random chance?" 5474:Marcus W. Feldman; Richard C. Lewontin (1975). 1498:, as well as other schools. It is based on the 1380:of phenotype on genotype is shown in Figure 1. 381:. Since each parent passes a single allele per 528:alleles can be 0, 1, or 2. For any genotype, ( 474:is used to denote broad sense, and lower case 6726: 6205: 5879: 5768: 3837:, focus largely on heritability estimates in 1660:," since the offspring values always tend to 8: 5674:Genetics and analysis of quantitative traits 1656:the slope. (This is the source of the term " 1548:Regression/correlation methods of estimation 5588:Turkheimer E (2015). "Genetic Prediction". 4607:Current Directions in Psychological Science 2556:between half sibs. We can easily calculate 6733: 6719: 6711: 6486: 6212: 6198: 6190: 5886: 5872: 5864: 5775: 5761: 5753: 3998:: CS1 maint: location missing publisher ( 1750:Analysis of variance methods of estimation 5447: 5422:Feldman MW, Ramachandran S (April 2018). 5242: 5137: 5127: 5086: 5076: 4963: 4805: 4756: 4746: 4557: 4471: 4231: 4160: 4038: 3735: 3730: 3710: 3708: 3670: 3658: 3627: 3618: 3472: 3470: 3444: 3442: 3416: 3390: 3388: 3357: 3355: 3329: 3327: 3301: 3275: 3273: 3247: 3221: 3219: 3193: 3172: 3146: 3125: 3088: 3063: 3041: 3021: 2994: 2978: 2966: 2937: 2931: 2910: 2904: 2881: 2857: 2851: 2830: 2824: 2803: 2797: 2759: 2746: 2733: 2711: 2705: 2618: 2606: 2593: 2582: 2576: 2567: 2561: 2536: 2522: 2520: 2503:{\displaystyle {\frac {3}{4}}V_{g}+V_{e}} 2494: 2481: 2467: 2465: 2444: 2408: 2377: 2363: 2362: 2347: 2334: 2320: 2318: 2297: 2270: 2224: 2218: 2197: 2191: 2171: 2151: 2118: 2104: 2074: 2046: 2023: 1986: 1984: 1927: 1913: 1898: 1892: 1866: 1838: 1832: 1802: 1783: 1777: 1596: 1583: 1574: 1568: 1349: 1318: 1287: 1266: 1239: 1231: 1203: 1195: 1167: 1159: 1117: 1115: 1080: 1049: 1018: 997: 970: 962: 934: 926: 898: 890: 848: 846: 803: 793: 771: 759: 744: 731: 709: 697: 689: 670: 660: 652: 637: 624: 616: 591: 583: 581: 434: 412: 409: 400: 394: 319: 297: 294: 285: 279: 252: 246: 5174:(2nd ed.). New York: W.H. Freeman. 4907:Falconer DS, Mackay TF (December 1995). 3111: 2846:is the additive effect of the j allele, 2819:is the additive effect of the i allele, 2242: 1698: 838:of the squares of the additive effects: 512: 6899:Suppressed research in the Soviet Union 6853:Inheritance of acquired characteristics 4132:Ning Z, Pawitan Y, Shen X (June 2020). 3923: 2693:Model with additive and dominance terms 1482:The second was originally developed by 366:(multi-genic interactions), as well as 6702:Index of evolutionary biology articles 6179:Index of evolutionary biology articles 5553:Turkheimer E (2011). "Still missing". 5368:from the original on 28 September 2011 3991: 5231:International Journal of Epidemiology 5198:Introduction to quantitative genetics 4910:Introduction to Quantitative Genetics 4780:Daw J, Guo G, Harris KM (July 2015). 4670:An introduction to genetic statistics 3537:, and analyzed with programs such as 3006:{\displaystyle =rV_{a}+\theta V_{d},} 2926:as the additive genetic variance and 1631:is the coefficient of regression and 1525:second and more common design is the 1479:as a way of estimating heritability. 7: 6889:Collectivization in the Soviet Union 5676:. Sunderland, Mass.: Sinauer Assoc. 4644:from the original on 19 October 2013 4127: 4125: 4060: 4058: 3547:, MCMCglmm within the R environment 1531:not completely genetically identical 501:). This is the principle underlying 5632:. New York: Routledge. p. 81. 4697:Stanford Encyclopedia of Philosophy 4691:Stephen Downes and Lucas Matthews. 4446:Sauce B, Matzel LD (January 2018). 4208:"Coming to terms with heritability" 2545:{\displaystyle {\frac {1}{4}}V_{g}} 2244:Table 1: ANOVA for Sire experiment 1635:is the coefficient of correlation. 489:Additive variance is important for 6512:Evolutionary developmental biology 4276:"The intelligence of heritability" 4019:American Journal of Human Genetics 3947:from the original on 2 August 2015 3742: 3739: 3736: 3717: 3714: 3711: 2033: 2030: 2027: 2024: 1996: 1993: 1990: 1987: 1817:{\displaystyle y_{i}=\mu +g_{i}+e} 1726:The effect of shared environment, 1413:analyses required to estimate the 1124: 1121: 1118: 855: 852: 849: 441: 438: 435: 419: 416: 413: 326: 323: 320: 304: 301: 298: 14: 5795:Concepts in Quantitative Genetics 4573:Principles of Population Genetics 2957:of these parameters. In general, 2685:, because ANOVA has a much lower 1738:. Unique environmental variance, 6469:Evolution of sexual reproduction 5522:from the original on 20 May 2021 5201:(4th ed.). Essex: Longman. 5153: 4987:Wahlsten, Douglas (March 1990). 4798:10.1016/j.ssresearch.2015.02.011 3892:is a concept widely applicable. 3781: 1517:estimated from genetic markers. 181:Any particular phenotype can be 5693:European Journal of Personality 5649:from the original on 2016-04-04 5336:from the original on 2020-10-05 5294:from the original on 2017-07-19 5195:Falconer DS, Mackay TF (1998). 5033:from the original on 2020-10-05 4703:from the original on 2020-02-25 4428:from the original on 2016-03-24 4312:from the original on 2018-10-24 4256:from the original on 2020-12-02 4188:from the original on 2021-04-15 4111:from the original on 2020-10-05 3933:"Estimating Trait Heritability" 3509:single-nucleotide polymorphisms 3505:genome-wide association studies 3485:{\displaystyle {\frac {1}{16}}} 2240:as the environmental variance: 1496:North Carolina State University 386:heritability and is defined as 6240:Genotype–phenotype distinction 5979:Constructive neutral evolution 3752: 3746: 3727: 3721: 3633: 3620: 3457:{\displaystyle {\frac {1}{4}}} 3403:{\displaystyle {\frac {1}{8}}} 3370:{\displaystyle {\frac {1}{4}}} 3342:{\displaystyle {\frac {1}{2}}} 3288:{\displaystyle {\frac {1}{4}}} 3234:{\displaystyle {\frac {1}{2}}} 2683:gene–-environment interactions 2659: 2647: 2636: 2624: 2425: 2413: 2384: 2359: 2098: 2037: 2017: 2000: 1716:between MZ and DZ twins, i.e. 1342: 1333: 1311: 1302: 1280: 1271: 1224: 1215: 1188: 1179: 1152: 1143: 1134: 1128: 1073: 1064: 1042: 1033: 1011: 1002: 955: 946: 919: 910: 883: 874: 865: 859: 812: 809: 786: 764: 753: 750: 724: 702: 676: 653: 643: 617: 451: 445: 429: 423: 336: 330: 314: 308: 144:Estimates of heritability use 1: 6497:Regulation of gene expression 5555:Research in Human Development 5171:Behavioral Genetics: A Primer 4996:Behavioral and Brain Sciences 4598:Turkheimer E (October 2000). 3516:restricted maximum likelihood 1881:is the environmental effect. 1556:Comparison of close relatives 1455:, and further popularized by 368:maternal and paternal effects 53:that estimates the degree of 6667:Endless Forms Most Beautiful 6447:Evolution of genetic systems 6255:Gene–environment correlation 6250:Gene–environment interaction 5929:Fisher's fundamental theorem 5567:10.1080/15427609.2011.625321 5356:"Doctoring the Mind: Review" 5129:10.1371/journal.pgen.1000008 4509:10.1016/0010-0277(95)00678-r 4344:10.1146/annurev.psych.51.1.1 4206:Stoltenberg SF (June 1997). 3881:studies' conclusions is the 3877:studies to corroborate such 3804:or discuss the issue on the 2213:as the genetic variance and 1542:gene environment correlation 1506:are used in these analyses. 233:In a planned experiment Cov( 6646:Christiane NĂĽsslein-Volhard 5954:Coefficient of relationship 4571:Hartl DL, Clark AG (2007). 4332:Annual Review of Psychology 3931:Wray N, Visscher P (2008). 3646:can be estimated using the 2839:{\displaystyle \alpha _{j}} 2812:{\displaystyle \alpha _{i}} 1639:Parent-offspring regression 1488:The University of Edinburgh 6953: 6522:Hedgehog signaling pathway 6399:Developmental architecture 5590:The Hastings Center Report 5476:"The Heritability Hang–Up" 4295:10.1037/0708-5591.35.3.244 4031:10.1016/j.ajhg.2010.11.011 3970:(5th ed.). New York. 3796:towards certain viewpoints 1854:is the effect of genotype 1692: 1664:value for the population, 1625:coefficient of relatedness 18: 6904:Politicization of science 6699: 6349:Transgressive segregation 6174: 5949:Coefficient of inbreeding 5822:Effective population size 5672:Lynch M, Walsh B (1998). 5354:McGrath M (5 July 2009). 5320:New York University Press 5008:10.1017/S0140525X00077797 4956:10.1007/s10519-007-9170-3 4153:10.1038/s41588-020-0653-y 3873:. The scarce success of 1623:can be thought of as the 1453:The University of Chicago 761:Dominance Deviation  484:liability threshold model 6127:Evolutionary game theory 5909:Hardy–Weinberg principle 5812:Quantitative trait locus 4391:Nature Reviews. Genetics 4382:, Wray NR (April 2008). 3682:{\displaystyle R=h^{2}S} 3099:{\displaystyle \theta =} 19:Not to be confused with 6884:Bourgeois pseudoscience 6527:Notch signaling pathway 6502:Gene regulatory network 6385:Dual inheritance theory 5939:Shifting balance theory 5500:10.1126/science.1198102 5078:10.1073/pnas.1510497113 4786:Social Science Research 4748:10.1073/pnas.1119675109 4699:. Stanford University. 4619:10.1111/1467-8721.00084 3639:{\displaystyle (h^{2})} 3154:{\displaystyle \theta } 3049:{\displaystyle \theta } 1953:Intraclass correlations 1401:Estimating heritability 374:production in mammals. 6575:cis-regulatory element 6483:Control of development 6363:Non-genetic influences 6329:evolutionary landscape 5924:Linkage disequilibrium 5440:10.1098/rstb.2017.0064 4452:Psychological Bulletin 3767:Gaussian distributions 3759: 3683: 3640: 3606: 3587:linkage disequilibrium 3486: 3458: 3425: 3404: 3371: 3343: 3310: 3289: 3256: 3235: 3202: 3181: 3155: 3134: 3100: 3075: 3050: 3030: 3007: 2961:Intraclass correlation 2947: 2920: 2890: 2870: 2869:{\displaystyle d_{ij}} 2840: 2813: 2781: 2672: 2554:intraclass correlation 2546: 2504: 2453: 2432: 2431:{\displaystyle n(r-1)} 2391: 2306: 2285: 2234: 2207: 2180: 2160: 2146:In an experiment with 2128: 1972:). In addition to the 1943: 1875: 1848: 1818: 1704: 1652: 1610: 1368: 1252: 1099: 983: 826: 518: 461: 346: 265: 264:{\displaystyle H^{2},} 45:used in the fields of 35: 6930:Quantitative genetics 6863:Mendelian inheritance 6686:Nature versus nurture 6590:Cell surface receptor 6507:Evo-devo gene toolkit 6406:Developmental biology 6344:Polygenic inheritance 6270:Quantitative genetics 6166:Quantitative genetics 6075:Balding–Nichols model 6060:Population bottleneck 6055:Small population size 5959:Selection coefficient 5788:Quantitative genetics 4668:Kempthorne O (1957). 4559:10.1093/jhered/esm035 3968:Psychological science 3847:genetic determination 3760: 3684: 3641: 3600: 3593:Response to selection 3572:, and confounding of 3487: 3459: 3435:Double First Cousins 3426: 3405: 3372: 3344: 3311: 3290: 3257: 3236: 3203: 3182: 3156: 3135: 3101: 3076: 3051: 3031: 3008: 2948: 2946:{\displaystyle V_{d}} 2921: 2919:{\displaystyle V_{a}} 2891: 2871: 2841: 2814: 2782: 2673: 2547: 2505: 2454: 2433: 2392: 2307: 2286: 2258:Expected Mean Square 2235: 2233:{\displaystyle V_{e}} 2208: 2206:{\displaystyle V_{g}} 2181: 2161: 2129: 1944: 1876: 1849: 1847:{\displaystyle g_{i}} 1819: 1702: 1670:DeFries–Fulker method 1646: 1611: 1538:observational studies 1492:Iowa State University 1469:Iowa State University 1461:University of Chicago 1369: 1253: 1100: 984: 827: 699:Additive Effect  516: 499:realized heritability 495:response to selection 462: 347: 266: 135:phenotypic plasticity 91:quantitative genetics 89:important concept in 79:environmental factors 29: 6925:Genetic epidemiology 6595:Transcription factor 6310:Genetic assimilation 6297:Genetic architecture 6037:Background selection 6024:on genomic variation 6022:Effects of selection 5974:Population structure 5848:Evolutionary biology 5322:. pp. 123–127. 4831:Psychological Review 3884:missing heritability 3707: 3657: 3617: 3580:Genomic heritability 3570:prenatal environment 3469: 3441: 3415: 3387: 3354: 3326: 3300: 3272: 3246: 3218: 3192: 3171: 3145: 3124: 3087: 3062: 3040: 3020: 2965: 2930: 2903: 2896:is the environment. 2880: 2850: 2823: 2796: 2704: 2560: 2519: 2464: 2443: 2407: 2317: 2296: 2269: 2263:Between sire groups 2217: 2190: 2170: 2150: 1983: 1891: 1865: 1831: 1776: 1567: 1500:analysis of variance 1435:experimental control 1395:academic achievement 1391:missing heritability 1265: 1114: 996: 845: 580: 503:artificial selection 393: 278: 245: 146:statistical analyses 6935:Population genetics 6797:Georgii Karpechenko 6691:Morphogenetic field 6608:Influential figures 6156:Population genomics 6032:Genetic hitchhiking 5919:Identity by descent 5895:Population genetics 5838:Population genetics 5492:1975Sci...190.1163F 5486:(4220): 1163–1168. 5312:Bentall RP (2009). 5069:2016PNAS..113.7377H 4739:2012PNAS..109.1193Z 4545:Journal of Heredity 4283:Canadian Psychology 4274:Wahlsten D (1994). 3902:Behavioral genetics 3839:behavioral sciences 3802:improve the article 3554:family of programs 3498:Linear mixed models 3114: 2401:Within sire groups 2284:{\displaystyle n-1} 2245: 1662:regress to the mean 1515:genomic relatedness 1511:linear mixed models 1244: 1208: 1172: 975: 939: 903: 83:observational error 6380:Genomic imprinting 6142:Landscape genetics 5746:2006-02-06 at the 5596:(5 Suppl): S32–8. 5434:(1743): 20170064. 5244:10.1093/ije/dyl064 4878:10.1007/BF01066239 4464:10.1037/bul0000131 4224:10.1007/BF02259512 3912:Heritability of IQ 3879:population-genetic 3755: 3679: 3648:breeder's equation 3636: 3611:selective breeding 3607: 3482: 3454: 3421: 3400: 3367: 3339: 3306: 3285: 3252: 3231: 3198: 3177: 3151: 3130: 3112: 3096: 3074:{\displaystyle r=} 3071: 3046: 3026: 3003: 2943: 2916: 2886: 2866: 2836: 2809: 2777: 2668: 2542: 2500: 2449: 2428: 2387: 2302: 2281: 2243: 2230: 2203: 2176: 2156: 2124: 1939: 1871: 1844: 1814: 1718:Falconer's formula 1710:assortative mating 1705: 1676:Sibling comparison 1653: 1606: 1364: 1248: 1227: 1191: 1155: 1095: 979: 958: 922: 886: 822: 820: 519: 478:for narrow sense. 457: 342: 261: 95:selective breeding 93:, particularly in 36: 6912: 6911: 6894:Pavlovian session 6766:Nikita Khrushchev 6708: 6707: 6641:Eric F. Wieschaus 6603: 6602: 6421:Pattern formation 6325:Fitness landscape 6187: 6186: 6137:Genetic genealogy 6132:Fitness landscape 5861: 5860: 5683:978-0-87893-481-2 5639:978-1-317-60590-4 5623:Joseph J (2014). 5329:978-0-8147-8723-6 5287:978-1-898059-47-9 5273:The Gene Illusion 5266:Joseph J (2004). 5208:978-0-582-24302-6 5181:978-0-7167-2056-0 4944:Behavior Genetics 4866:Behavior Genetics 4582:978-0-87893-308-2 3977:978-0-393-26313-8 3875:molecular-genetic 3823: 3822: 3574:genetic dominance 3562:reverse causality 3495: 3494: 3480: 3452: 3424:{\displaystyle 0} 3398: 3365: 3337: 3309:{\displaystyle 0} 3283: 3255:{\displaystyle 0} 3229: 3212:Parent-Offspring 3201:{\displaystyle 1} 3180:{\displaystyle 1} 3133:{\displaystyle r} 3029:{\displaystyle r} 2889:{\displaystyle e} 2687:statistical power 2666: 2613: 2530: 2513: 2512: 2475: 2452:{\displaystyle W} 2371: 2328: 2305:{\displaystyle S} 2179:{\displaystyle r} 2159:{\displaystyle n} 2112: 2082: 2054: 1959:within sire group 1921: 1874:{\displaystyle e} 1723:=2(r(MZ)-r(DZ)). 1604: 1591: 1475:was developed by 1447:was developed by 1445:school of thought 1378:linear regression 762: 700: 692: 455: 340: 197:) + Environment ( 115:genetic variation 99:behavior genetics 67:genetic variation 6942: 6735: 6728: 6721: 6712: 6651:William McGinnis 6620:Richard Lewontin 6615:C. H. Waddington 6487: 6464:Neutral networks 6214: 6207: 6200: 6191: 6096:J. B. S. Haldane 5888: 5881: 5874: 5865: 5777: 5770: 5763: 5754: 5724: 5687: 5658: 5657: 5655: 5654: 5648: 5631: 5620: 5614: 5613: 5602:10.1002/hast.496 5585: 5579: 5578: 5561:(3–4): 227–241. 5550: 5541: 5538: 5532: 5531: 5529: 5527: 5471: 5465: 5464: 5451: 5419: 5413: 5412: 5401:10.1002/wcs.1400 5384: 5378: 5377: 5375: 5373: 5351: 5345: 5344: 5342: 5341: 5309: 5303: 5302: 5300: 5299: 5263: 5257: 5256: 5246: 5219: 5213: 5212: 5192: 5186: 5185: 5165: 5159: 5158: 5157: 5151: 5141: 5131: 5107: 5101: 5100: 5090: 5080: 5048: 5042: 5041: 5039: 5038: 5032: 4993: 4984: 4978: 4977: 4967: 4935: 4929: 4928: 4913:(4th ed.). 4904: 4898: 4897: 4861: 4855: 4854: 4843:10.1037/h0043487 4826: 4820: 4819: 4809: 4777: 4771: 4770: 4760: 4750: 4718: 4712: 4711: 4709: 4708: 4688: 4682: 4681: 4665: 4654: 4653: 4651: 4649: 4643: 4604: 4595: 4589: 4586: 4563: 4561: 4538:Wills C (2007). 4535: 4529: 4528: 4492: 4486: 4485: 4475: 4443: 4437: 4436: 4434: 4433: 4427: 4388: 4375: 4364: 4363: 4327: 4321: 4320: 4318: 4317: 4311: 4280: 4271: 4265: 4264: 4262: 4261: 4235: 4203: 4197: 4196: 4194: 4193: 4187: 4164: 4138: 4129: 4120: 4119: 4117: 4116: 4110: 4080:(9): 1304–1310. 4071: 4062: 4053: 4052: 4042: 4010: 4004: 4003: 3997: 3989: 3963: 3957: 3956: 3954: 3952: 3937:Nature Education 3928: 3818: 3815: 3809: 3785: 3784: 3777: 3764: 3762: 3761: 3756: 3745: 3734: 3720: 3688: 3686: 3685: 3680: 3675: 3674: 3645: 3643: 3642: 3637: 3632: 3631: 3566:maternal effects 3520:Bayesian methods 3491: 3489: 3488: 3483: 3481: 3473: 3463: 3461: 3460: 3455: 3453: 3445: 3430: 3428: 3427: 3422: 3409: 3407: 3406: 3401: 3399: 3391: 3376: 3374: 3373: 3368: 3366: 3358: 3348: 3346: 3345: 3340: 3338: 3330: 3315: 3313: 3312: 3307: 3294: 3292: 3291: 3286: 3284: 3276: 3261: 3259: 3258: 3253: 3240: 3238: 3237: 3232: 3230: 3222: 3207: 3205: 3204: 3199: 3186: 3184: 3183: 3178: 3165:Identical Twins 3160: 3158: 3157: 3152: 3139: 3137: 3136: 3131: 3115: 3105: 3103: 3102: 3097: 3080: 3078: 3077: 3072: 3055: 3053: 3052: 3047: 3035: 3033: 3032: 3027: 3012: 3010: 3009: 3004: 2999: 2998: 2983: 2982: 2955:linear functions 2952: 2950: 2949: 2944: 2942: 2941: 2925: 2923: 2922: 2917: 2915: 2914: 2895: 2893: 2892: 2887: 2875: 2873: 2872: 2867: 2865: 2864: 2845: 2843: 2842: 2837: 2835: 2834: 2818: 2816: 2815: 2810: 2808: 2807: 2786: 2784: 2783: 2778: 2767: 2766: 2751: 2750: 2738: 2737: 2719: 2718: 2677: 2675: 2674: 2669: 2667: 2665: 2639: 2619: 2614: 2612: 2611: 2610: 2598: 2597: 2587: 2586: 2577: 2572: 2571: 2551: 2549: 2548: 2543: 2541: 2540: 2531: 2523: 2509: 2507: 2506: 2501: 2499: 2498: 2486: 2485: 2476: 2468: 2458: 2456: 2455: 2450: 2437: 2435: 2434: 2429: 2396: 2394: 2393: 2388: 2383: 2382: 2381: 2372: 2364: 2352: 2351: 2339: 2338: 2329: 2321: 2311: 2309: 2308: 2303: 2290: 2288: 2287: 2282: 2246: 2239: 2237: 2236: 2231: 2229: 2228: 2212: 2210: 2209: 2204: 2202: 2201: 2185: 2183: 2182: 2177: 2165: 2163: 2162: 2157: 2133: 2131: 2130: 2125: 2123: 2122: 2113: 2105: 2097: 2083: 2075: 2055: 2047: 2036: 2016: 1999: 1970:among sire group 1948: 1946: 1945: 1940: 1932: 1931: 1922: 1914: 1903: 1902: 1880: 1878: 1877: 1872: 1853: 1851: 1850: 1845: 1843: 1842: 1823: 1821: 1820: 1815: 1807: 1806: 1788: 1787: 1615: 1613: 1612: 1607: 1605: 1597: 1592: 1584: 1579: 1578: 1486:and expanded at 1373: 1371: 1370: 1365: 1357: 1356: 1326: 1325: 1295: 1294: 1257: 1255: 1254: 1249: 1243: 1238: 1207: 1202: 1171: 1166: 1127: 1104: 1102: 1101: 1096: 1088: 1087: 1057: 1056: 1026: 1025: 988: 986: 985: 980: 974: 969: 938: 933: 902: 897: 858: 836:weighted average 831: 829: 828: 823: 821: 808: 807: 798: 797: 779: 778: 763: 760: 749: 748: 736: 735: 717: 716: 701: 698: 693: 690: 682: 675: 674: 665: 664: 642: 641: 629: 628: 599: 598: 466: 464: 463: 458: 456: 454: 444: 432: 422: 410: 405: 404: 351: 349: 348: 343: 341: 339: 329: 317: 307: 295: 290: 289: 270: 268: 267: 262: 257: 256: 59:phenotypic trait 6952: 6951: 6945: 6944: 6943: 6941: 6940: 6939: 6915: 6914: 6913: 6908: 6877:Soviet policies 6872: 6826: 6822:Nikolai Vavilov 6802:Zhores Medvedev 6792:WacĹ‚aw Gajewski 6780: 6744: 6739: 6709: 6704: 6695: 6674: 6661:Sean B. Carroll 6599: 6531: 6478: 6442: 6394: 6375:Maternal effect 6358: 6291: 6228: 6218: 6188: 6183: 6170: 6105: 6079: 6041: 6025: 6023: 6016: 5983: 5914:Genetic linkage 5897: 5892: 5862: 5857: 5826: 5790: 5781: 5748:Wayback Machine 5732: 5727: 5705:10.1002/per.835 5690: 5684: 5671: 5667: 5665:Further reading 5662: 5661: 5652: 5650: 5646: 5640: 5629: 5622: 5621: 5617: 5587: 5586: 5582: 5552: 5551: 5544: 5539: 5535: 5525: 5523: 5473: 5472: 5468: 5421: 5420: 5416: 5386: 5385: 5381: 5371: 5369: 5353: 5352: 5348: 5339: 5337: 5330: 5311: 5310: 5306: 5297: 5295: 5288: 5280:. p. 141. 5265: 5264: 5260: 5221: 5220: 5216: 5209: 5194: 5193: 5189: 5182: 5167: 5166: 5162: 5152: 5122:(2): e1000008. 5109: 5108: 5104: 5063:(27): 7377–82. 5050: 5049: 5045: 5036: 5034: 5030: 4991: 4986: 4985: 4981: 4937: 4936: 4932: 4925: 4906: 4905: 4901: 4863: 4862: 4858: 4828: 4827: 4823: 4779: 4778: 4774: 4720: 4719: 4715: 4706: 4704: 4690: 4689: 4685: 4667: 4666: 4657: 4647: 4645: 4641: 4602: 4597: 4596: 4592: 4583: 4570: 4548:(Book Review). 4537: 4536: 4532: 4494: 4493: 4489: 4445: 4444: 4440: 4431: 4429: 4425: 4403:10.1038/nrg2322 4386: 4377: 4376: 4367: 4329: 4328: 4324: 4315: 4313: 4309: 4278: 4273: 4272: 4268: 4259: 4257: 4205: 4204: 4200: 4191: 4189: 4185: 4141:Nature Genetics 4136: 4131: 4130: 4123: 4114: 4112: 4108: 4086:10.1038/ng.3941 4074:Nature Genetics 4069: 4064: 4063: 4056: 4012: 4011: 4007: 3990: 3978: 3965: 3964: 3960: 3950: 3948: 3930: 3929: 3925: 3920: 3898: 3843:social sciences 3835:Richard Bentall 3819: 3813: 3810: 3799: 3786: 3782: 3775: 3705: 3704: 3666: 3655: 3654: 3623: 3615: 3614: 3595: 3582: 3500: 3467: 3466: 3439: 3438: 3413: 3412: 3385: 3384: 3352: 3351: 3324: 3323: 3298: 3297: 3270: 3269: 3244: 3243: 3216: 3215: 3190: 3189: 3169: 3168: 3143: 3142: 3122: 3121: 3085: 3084: 3060: 3059: 3038: 3037: 3018: 3017: 2990: 2974: 2963: 2962: 2933: 2928: 2927: 2906: 2901: 2900: 2878: 2877: 2853: 2848: 2847: 2826: 2821: 2820: 2799: 2794: 2793: 2755: 2742: 2729: 2707: 2702: 2701: 2695: 2640: 2620: 2602: 2589: 2588: 2578: 2563: 2558: 2557: 2532: 2517: 2516: 2490: 2477: 2462: 2461: 2441: 2440: 2405: 2404: 2373: 2343: 2330: 2315: 2314: 2294: 2293: 2267: 2266: 2220: 2215: 2214: 2193: 2188: 2187: 2168: 2167: 2148: 2147: 2144: 2114: 2090: 2009: 1981: 1980: 1955: 1923: 1894: 1889: 1888: 1863: 1862: 1859: 1834: 1829: 1828: 1798: 1779: 1774: 1773: 1767: 1760: 1752: 1697: 1691: 1678: 1641: 1570: 1565: 1564: 1558: 1550: 1522:identical twins 1403: 1386: 1345: 1314: 1283: 1263: 1262: 1112: 1111: 1076: 1045: 1014: 994: 993: 843: 842: 819: 818: 799: 789: 767: 740: 727: 705: 691:Population mean 680: 679: 666: 656: 633: 620: 600: 587: 578: 577: 573: 566: 555: 548: 541: 534: 511: 433: 411: 396: 391: 390: 318: 296: 281: 276: 275: 248: 243: 242: 179: 139:transcriptional 111: 101:(for instance, 65:that is due to 24: 17: 12: 11: 5: 6950: 6949: 6946: 6938: 6937: 6932: 6927: 6917: 6916: 6910: 6909: 6907: 6906: 6901: 6896: 6891: 6886: 6880: 6878: 6874: 6873: 6871: 6870: 6865: 6860: 6855: 6850: 6845: 6840: 6834: 6832: 6828: 6827: 6825: 6824: 6819: 6814: 6809: 6807:Georgii Nadson 6804: 6799: 6794: 6788: 6786: 6782: 6781: 6779: 6778: 6773: 6768: 6763: 6758: 6756:Trofim Lysenko 6752: 6750: 6746: 6745: 6740: 6738: 6737: 6730: 6723: 6715: 6706: 6705: 6700: 6697: 6696: 6694: 6693: 6688: 6682: 6680: 6676: 6675: 6673: 6672: 6671: 6670: 6658: 6653: 6648: 6643: 6638: 6637: 6636: 6625:François Jacob 6622: 6617: 6611: 6609: 6605: 6604: 6601: 6600: 6598: 6597: 6592: 6587: 6582: 6577: 6572: 6567: 6562: 6561: 6560: 6550: 6545: 6539: 6537: 6533: 6532: 6530: 6529: 6524: 6519: 6514: 6509: 6504: 6499: 6493: 6491: 6484: 6480: 6479: 6477: 6476: 6471: 6466: 6461: 6456: 6450: 6448: 6444: 6443: 6441: 6440: 6435: 6430: 6425: 6424: 6423: 6418: 6408: 6402: 6400: 6396: 6395: 6393: 6392: 6387: 6382: 6377: 6372: 6366: 6364: 6360: 6359: 6357: 6356: 6354:Sequence space 6351: 6346: 6341: 6336: 6331: 6322: 6317: 6312: 6307: 6301: 6299: 6293: 6292: 6290: 6289: 6284: 6283: 6282: 6272: 6267: 6262: 6257: 6252: 6247: 6242: 6236: 6234: 6230: 6229: 6219: 6217: 6216: 6209: 6202: 6194: 6185: 6184: 6182: 6181: 6175: 6172: 6171: 6169: 6168: 6163: 6161:Phylogeography 6158: 6153: 6151:Microevolution 6148: 6139: 6134: 6129: 6124: 6119: 6113: 6111: 6110:Related topics 6107: 6106: 6104: 6103: 6098: 6093: 6087: 6085: 6081: 6080: 6078: 6077: 6072: 6067: 6065:Founder effect 6062: 6057: 6051: 6049: 6043: 6042: 6040: 6039: 6034: 6028: 6026: 6021: 6018: 6017: 6015: 6014: 6009: 6004: 5999: 5993: 5991: 5985: 5984: 5982: 5981: 5976: 5971: 5966: 5961: 5956: 5951: 5946: 5944:Price equation 5941: 5936: 5934:Neutral theory 5931: 5926: 5921: 5916: 5911: 5905: 5903: 5899: 5898: 5893: 5891: 5890: 5883: 5876: 5868: 5859: 5858: 5856: 5855: 5850: 5845: 5840: 5834: 5832: 5831:Related Topics 5828: 5827: 5825: 5824: 5819: 5817:Candidate gene 5814: 5809: 5804: 5798: 5796: 5792: 5791: 5782: 5780: 5779: 5772: 5765: 5757: 5751: 5750: 5738: 5731: 5730:External links 5728: 5726: 5725: 5699:(4): 287–294. 5688: 5682: 5668: 5666: 5663: 5660: 5659: 5638: 5615: 5580: 5542: 5533: 5466: 5414: 5395:(1–2): e1400. 5379: 5346: 5328: 5304: 5286: 5258: 5214: 5207: 5187: 5180: 5160: 5102: 5043: 5002:(1): 109–120. 4979: 4930: 4924:978-0582243026 4923: 4899: 4856: 4821: 4772: 4713: 4693:"Heritability" 4683: 4655: 4613:(5): 160–164. 4590: 4588: 4587: 4581: 4530: 4487: 4438: 4365: 4322: 4289:(3): 244–260. 4266: 4218:(2–3): 89–96. 4198: 4147:(8): 859–864. 4121: 4054: 4005: 3976: 3958: 3922: 3921: 3919: 3916: 3915: 3914: 3909: 3904: 3897: 3894: 3821: 3820: 3789: 3787: 3780: 3774: 3771: 3754: 3751: 3748: 3744: 3741: 3738: 3733: 3729: 3726: 3723: 3719: 3716: 3713: 3690: 3689: 3678: 3673: 3669: 3665: 3662: 3635: 3630: 3626: 3622: 3594: 3591: 3581: 3578: 3499: 3496: 3493: 3492: 3479: 3476: 3464: 3451: 3448: 3436: 3432: 3431: 3420: 3410: 3397: 3394: 3382: 3381:First Cousins 3378: 3377: 3364: 3361: 3349: 3336: 3333: 3321: 3320:Full Siblings 3317: 3316: 3305: 3295: 3282: 3279: 3267: 3266:Half Siblings 3263: 3262: 3251: 3241: 3228: 3225: 3213: 3209: 3208: 3197: 3187: 3176: 3166: 3162: 3161: 3150: 3140: 3129: 3119: 3095: 3092: 3070: 3067: 3045: 3025: 3014: 3013: 3002: 2997: 2993: 2989: 2986: 2981: 2977: 2973: 2970: 2940: 2936: 2913: 2909: 2885: 2863: 2860: 2856: 2833: 2829: 2806: 2802: 2788: 2787: 2776: 2773: 2770: 2765: 2762: 2758: 2754: 2749: 2745: 2741: 2736: 2732: 2728: 2725: 2722: 2717: 2714: 2710: 2694: 2691: 2664: 2661: 2658: 2655: 2652: 2649: 2646: 2643: 2638: 2635: 2632: 2629: 2626: 2623: 2617: 2609: 2605: 2601: 2596: 2592: 2585: 2581: 2575: 2570: 2566: 2539: 2535: 2529: 2526: 2511: 2510: 2497: 2493: 2489: 2484: 2480: 2474: 2471: 2459: 2448: 2438: 2427: 2424: 2421: 2418: 2415: 2412: 2402: 2398: 2397: 2386: 2380: 2376: 2370: 2367: 2361: 2358: 2355: 2350: 2346: 2342: 2337: 2333: 2327: 2324: 2312: 2301: 2291: 2280: 2277: 2274: 2264: 2260: 2259: 2256: 2253: 2250: 2227: 2223: 2200: 2196: 2175: 2155: 2143: 2140: 2136: 2135: 2121: 2117: 2111: 2108: 2103: 2100: 2096: 2093: 2089: 2086: 2081: 2078: 2073: 2070: 2067: 2064: 2061: 2058: 2053: 2050: 2045: 2042: 2039: 2035: 2032: 2029: 2026: 2022: 2019: 2015: 2012: 2008: 2005: 2002: 1998: 1995: 1992: 1989: 1954: 1951: 1950: 1949: 1938: 1935: 1930: 1926: 1920: 1917: 1912: 1909: 1906: 1901: 1897: 1870: 1857: 1841: 1837: 1825: 1824: 1813: 1810: 1805: 1801: 1797: 1794: 1791: 1786: 1782: 1765: 1759: 1756: 1751: 1748: 1693:Main article: 1690: 1687: 1677: 1674: 1649:Francis Galton 1640: 1637: 1617: 1616: 1603: 1600: 1595: 1590: 1587: 1582: 1577: 1573: 1557: 1554: 1549: 1546: 1427:standard error 1402: 1399: 1385: 1382: 1363: 1360: 1355: 1352: 1348: 1344: 1341: 1338: 1335: 1332: 1329: 1324: 1321: 1317: 1313: 1310: 1307: 1304: 1301: 1298: 1293: 1290: 1286: 1282: 1279: 1276: 1273: 1270: 1259: 1258: 1247: 1242: 1237: 1234: 1230: 1226: 1223: 1220: 1217: 1214: 1211: 1206: 1201: 1198: 1194: 1190: 1187: 1184: 1181: 1178: 1175: 1170: 1165: 1162: 1158: 1154: 1151: 1148: 1145: 1142: 1139: 1136: 1133: 1130: 1126: 1123: 1120: 1094: 1091: 1086: 1083: 1079: 1075: 1072: 1069: 1066: 1063: 1060: 1055: 1052: 1048: 1044: 1041: 1038: 1035: 1032: 1029: 1024: 1021: 1017: 1013: 1010: 1007: 1004: 1001: 990: 989: 978: 973: 968: 965: 961: 957: 954: 951: 948: 945: 942: 937: 932: 929: 925: 921: 918: 915: 912: 909: 906: 901: 896: 893: 889: 885: 882: 879: 876: 873: 870: 867: 864: 861: 857: 854: 851: 817: 814: 811: 806: 802: 796: 792: 788: 785: 782: 777: 774: 770: 766: 758: 755: 752: 747: 743: 739: 734: 730: 726: 723: 720: 715: 712: 708: 704: 696: 688: 685: 683: 681: 678: 673: 669: 663: 659: 655: 651: 648: 645: 640: 636: 632: 627: 623: 619: 615: 612: 609: 606: 603: 601: 597: 594: 590: 586: 585: 571: 564: 553: 546: 539: 532: 524:The number of 510: 507: 470:An upper case 468: 467: 453: 450: 447: 443: 440: 437: 431: 428: 425: 421: 418: 415: 408: 403: 399: 353: 352: 338: 335: 332: 328: 325: 322: 316: 313: 310: 306: 303: 300: 293: 288: 284: 271:is defined as 260: 255: 251: 231: 230: 203: 202: 193:) = Genotype ( 178: 175: 110: 107: 15: 13: 10: 9: 6: 4: 3: 2: 6948: 6947: 6936: 6933: 6931: 6928: 6926: 6923: 6922: 6920: 6905: 6902: 6900: 6897: 6895: 6892: 6890: 6887: 6885: 6882: 6881: 6879: 6875: 6869: 6868:Vernalization 6866: 6864: 6861: 6859: 6856: 6854: 6851: 6849: 6848:Hybridization 6846: 6844: 6841: 6839: 6836: 6835: 6833: 6829: 6823: 6820: 6818: 6815: 6813: 6810: 6808: 6805: 6803: 6800: 6798: 6795: 6793: 6790: 6789: 6787: 6783: 6777: 6774: 6772: 6771:Joseph Stalin 6769: 6767: 6764: 6762: 6759: 6757: 6754: 6753: 6751: 6747: 6743: 6736: 6731: 6729: 6724: 6722: 6717: 6716: 6713: 6703: 6698: 6692: 6689: 6687: 6684: 6683: 6681: 6677: 6669: 6668: 6664: 6663: 6662: 6659: 6657: 6654: 6652: 6649: 6647: 6644: 6642: 6639: 6635: 6632: 6631: 6630: 6629:Jacques Monod 6626: 6623: 6621: 6618: 6616: 6613: 6612: 6610: 6606: 6596: 6593: 6591: 6588: 6586: 6583: 6581: 6578: 6576: 6573: 6571: 6568: 6566: 6563: 6559: 6556: 6555: 6554: 6551: 6549: 6546: 6544: 6543:Homeotic gene 6541: 6540: 6538: 6534: 6528: 6525: 6523: 6520: 6518: 6515: 6513: 6510: 6508: 6505: 6503: 6500: 6498: 6495: 6494: 6492: 6488: 6485: 6481: 6475: 6472: 6470: 6467: 6465: 6462: 6460: 6457: 6455: 6452: 6451: 6449: 6445: 6439: 6436: 6434: 6431: 6429: 6426: 6422: 6419: 6417: 6414: 6413: 6412: 6411:Morphogenesis 6409: 6407: 6404: 6403: 6401: 6397: 6391: 6388: 6386: 6383: 6381: 6378: 6376: 6373: 6371: 6368: 6367: 6365: 6361: 6355: 6352: 6350: 6347: 6345: 6342: 6340: 6337: 6335: 6332: 6330: 6326: 6323: 6321: 6318: 6316: 6313: 6311: 6308: 6306: 6303: 6302: 6300: 6298: 6294: 6288: 6285: 6281: 6278: 6277: 6276: 6273: 6271: 6268: 6266: 6263: 6261: 6258: 6256: 6253: 6251: 6248: 6246: 6245:Reaction norm 6243: 6241: 6238: 6237: 6235: 6231: 6227: 6223: 6215: 6210: 6208: 6203: 6201: 6196: 6195: 6192: 6180: 6177: 6176: 6173: 6167: 6164: 6162: 6159: 6157: 6154: 6152: 6149: 6147: 6143: 6140: 6138: 6135: 6133: 6130: 6128: 6125: 6123: 6120: 6118: 6115: 6114: 6112: 6108: 6102: 6101:Sewall Wright 6099: 6097: 6094: 6092: 6089: 6088: 6086: 6082: 6076: 6073: 6071: 6068: 6066: 6063: 6061: 6058: 6056: 6053: 6052: 6050: 6048: 6047:Genetic drift 6044: 6038: 6035: 6033: 6030: 6029: 6027: 6019: 6013: 6010: 6008: 6005: 6003: 6000: 5998: 5995: 5994: 5992: 5990: 5986: 5980: 5977: 5975: 5972: 5970: 5967: 5965: 5962: 5960: 5957: 5955: 5952: 5950: 5947: 5945: 5942: 5940: 5937: 5935: 5932: 5930: 5927: 5925: 5922: 5920: 5917: 5915: 5912: 5910: 5907: 5906: 5904: 5900: 5896: 5889: 5884: 5882: 5877: 5875: 5870: 5869: 5866: 5854: 5851: 5849: 5846: 5844: 5841: 5839: 5836: 5835: 5833: 5829: 5823: 5820: 5818: 5815: 5813: 5810: 5808: 5805: 5803: 5800: 5799: 5797: 5793: 5789: 5785: 5778: 5773: 5771: 5766: 5764: 5759: 5758: 5755: 5749: 5745: 5742: 5739: 5737: 5734: 5733: 5729: 5722: 5718: 5714: 5710: 5706: 5702: 5698: 5694: 5689: 5685: 5679: 5675: 5670: 5669: 5664: 5645: 5641: 5635: 5628: 5627: 5619: 5616: 5611: 5607: 5603: 5599: 5595: 5591: 5584: 5581: 5576: 5572: 5568: 5564: 5560: 5556: 5549: 5547: 5543: 5537: 5534: 5521: 5517: 5513: 5509: 5505: 5501: 5497: 5493: 5489: 5485: 5481: 5477: 5470: 5467: 5463: 5459: 5455: 5450: 5445: 5441: 5437: 5433: 5429: 5425: 5418: 5415: 5410: 5406: 5402: 5398: 5394: 5390: 5383: 5380: 5367: 5363: 5362: 5361:The Telegraph 5357: 5350: 5347: 5335: 5331: 5325: 5321: 5317: 5316: 5308: 5305: 5293: 5289: 5283: 5279: 5275: 5274: 5269: 5262: 5259: 5254: 5250: 5245: 5240: 5236: 5232: 5228: 5225:(June 2006). 5224: 5218: 5215: 5210: 5204: 5200: 5199: 5191: 5188: 5183: 5177: 5173: 5172: 5164: 5161: 5156: 5149: 5145: 5140: 5135: 5130: 5125: 5121: 5117: 5116:PLOS Genetics 5113: 5106: 5103: 5098: 5094: 5089: 5084: 5079: 5074: 5070: 5066: 5062: 5058: 5054: 5047: 5044: 5029: 5025: 5021: 5017: 5013: 5009: 5005: 5001: 4997: 4990: 4983: 4980: 4975: 4971: 4966: 4961: 4957: 4953: 4949: 4945: 4941: 4934: 4931: 4926: 4920: 4916: 4912: 4911: 4903: 4900: 4895: 4891: 4887: 4883: 4879: 4875: 4872:(5): 467–73. 4871: 4867: 4860: 4857: 4852: 4848: 4844: 4840: 4837:(6): 353–72. 4836: 4832: 4825: 4822: 4817: 4813: 4808: 4803: 4799: 4795: 4791: 4787: 4783: 4776: 4773: 4768: 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D. Bernal 6665: 6558:eyeless gene 6454:Evolvability 6428:Segmentation 6305:Canalisation 6275:Heterochrony 6265:Heritability 6264: 6233:Key concepts 6117:Biogeography 6091:R. A. Fisher 5969:Heritability 5968: 5902:Key concepts 5802:Heritability 5801: 5696: 5692: 5673: 5651:. Retrieved 5625: 5618: 5593: 5589: 5583: 5558: 5554: 5536: 5524:. Retrieved 5483: 5479: 5469: 5461: 5431: 5427: 5417: 5392: 5388: 5382: 5370:. Retrieved 5359: 5349: 5338:. Retrieved 5318:. New York: 5314: 5307: 5296:. Retrieved 5276:. New York: 5272: 5261: 5237:(3): 525–7. 5234: 5230: 5217: 5197: 5190: 5170: 5163: 5119: 5115: 5105: 5060: 5056: 5046: 5035:. Retrieved 4999: 4995: 4982: 4950:(1): 44–54. 4947: 4943: 4933: 4909: 4902: 4869: 4865: 4859: 4834: 4830: 4824: 4789: 4785: 4775: 4730: 4726: 4716: 4705:. Retrieved 4696: 4686: 4669: 4646:. Retrieved 4610: 4606: 4593: 4572: 4566: 4549: 4543: 4533: 4500: 4496: 4490: 4458:(1): 26–47. 4455: 4451: 4441: 4430:. Retrieved 4394: 4390: 4335: 4331: 4325: 4314:. 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Fisher 1481: 1442: 1439: 1431: 1406: 1404: 1387: 1375: 1260: 1106: 991: 833: 576: 568: 561: 557: 550: 543: 536: 529: 525: 523: 520: 498: 494: 488: 480: 475: 471: 469: 376: 355: 354: 238: 234: 232: 226: 222: 218: 214: 210: 204: 198: 194: 190: 180: 163: 143: 128: 112: 103:twin studies 87: 81:, including 76: 71: 54: 39:Heritability 38: 37: 31: 6817:Tan Jiazhen 6812:Hans Stubbe 6749:Lysenkoists 6656:Mike Levine 6565:Distal-less 6390:Polyphenism 6370:Epigenetics 6222:development 6070:Coalescence 5268:"Chapter 5" 4338:(1): 1–27. 4162:10616/47311 3855:David Shenk 3851:David Moore 3827:Steven Rose 3814:August 2016 1758:Basic model 1714:correlation 1683:familiarity 1411:statistical 1405:Since only 1384:Assumptions 558:interaction 189:Phenotype ( 32:differences 6919:Categories 6858:Lamarckism 6785:Dissidents 6742:Lysenkoism 6634:Lac operon 6459:Robustness 6438:Modularity 6433:Metamerism 6339:Plasticity 6334:Pleiotropy 6287:Heterotopy 6012:Ecological 6002:Artificial 5653:2016-04-02 5340:2016-04-02 5298:2016-04-02 5037:2020-09-06 4792:: 422–39. 4707:2020-02-20 4648:29 October 4552:(4): 382. 4432:2015-08-28 4316:2019-12-05 4260:2020-12-24 4192:2021-02-08 4115:2020-09-06 3918:References 3831:Jay Joseph 3794:unbalanced 3518:(REML) or 2166:sires and 1974:error term 1746:=1-r(MZ). 1695:Twin study 1658:regression 1647:Figure 2. 1527:twin study 1465:J. 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Index

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
maternal and paternal effects

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