Knowledge (XXG)

Ancestry-informative marker

Source 📝

17: 877:
Vergara, Candelaria; Caraballo, Luis; Mercado, Dilia; Jimenez, Silvia; Rojas, Winston; Rafaels, Nicholas; Hand, Tracey; Campbell, Monica; Tsai, Yuhjung J. (2009-03-17). "African ancestry is associated with risk of asthma and high total serum IgE in a population from the Caribbean Coast of Colombia".
185:
Different ancestral traits and their affiliation to diseases can help scientists determine appropriate approaches of treatment for a specific population. Medical researchers have revealed the link between ancestry traits and some common diseases; for example, individuals of African descent have been
201:
ancestry based on subsets of commercially available SNP arrays. These types of arrays can help reduce the cost of identifying risk factors, since they allow researchers to screen for ancestry markers instead of the entire genome. This is due to the fact that these SNP arrays narrow the scope of the
51:
because both of these areas are inherited from one parent, eradicating complexities that come with parental gene recombination. SNP mutations are rare, so sequences with SNPs tend to be passed down through generations rather than altered each generation. However, because any given SNP is relatively
209:, the social implications of the potential racial stigma that may result from such studies is a major concern. However, the study done by Yang et al. (2005) suggests that the technology to conduct deeper research into and identify ancestry-associated variations in human disease does already exist. 825:
Yang, Nan; Li, Hongzhe; Criswell, Lindsey A.; Gregersen, Peter K.; Alarcon-Riquelme, Marta E.; Kittles, Rick; Shigeta, Russell; Silva, Gabriel; Patel, Pragna I. (2005-09-29). "Examination of ancestry and ethnic affiliation using highly informative diallelic DNA markers: application to diverse and
52:
common in a population, analysts must examine groups of SNPs (otherwise known as AIMS) to determine someone's ancestry. Using statistical methods such as apparent error rate and Improved Bayesian Estimate, the set of SNPs with the highest accuracy for predicting a specific ancestry can be found.
88:
that exhibits substantially different frequencies between different ancient populations. A set of aAIMs can be used to identify the ancestry of ancient populations and eventually quantify the genetic similarity to modern-day individuals.
74:(FY*0) has a frequency of almost 100% of Sub-Saharan Africans, but occurs very infrequently in populations outside of this region. A person having this allele is thus more likely to have Sub-Saharan African ancestors. North and South 165:
by analyzing ancestry informative markers to determine geographic origins. These private companies collect massive quantities of data such as biological samples and self-reported information from consumers, a practice known as
145:
in ancestral mapping when using admixture mapping software. The differential ability of ancestry-informative markers allows scientists and researchers to narrow geographical populations of concern; for example, illegal
543:
Davey, John W.; Hohenlohe, Paul A.; Etter, Paul D.; Boone, Jason Q.; Catchen, Julian M.; Blaxter, Mark L. (July 2011). "Genome-wide genetic marker discovery and genotyping using next-generation sequencing".
709:
Severini, S.; Carnevali, E.; Margiotta, G.; Garcia-González, M.A.; Carracedo, Á. (2015-12-01). "Use of ancestry-informative markers as a scientific tool to combat the illegal traffic in human kidneys".
40:
that exhibits substantially different frequencies between different populations. A set of many AIMs can be used to estimate the proportion of ancestry of an individual derived from each population.
113:, which modifies the DNA sequence. This enzyme can be used with DNA ligase (connecting two different DNA), modifying DNA by inserting DNA from other organism. Another method, cDNA sequencing, or 47:) sites (out of roughly 3 billion base pairs, or about 0.4%) from among which AIMs may potentially be selected. The SNPs that relate to ancestry are often traced to the Y chromosome and 652:
Keene, Keith L.; Mychaleckyj, Josyf C.; Leak, Tennille S.; Smith, Shelly G.; Perlegas, Peter S.; Divers, Jasmin; Langefeld, Carl D.; Freedman, Barry I.; Bowden, Donald W. (2008-07-25).
55:
Examining a suite of these markers more or less evenly spaced across the genome is also a cost-effective way to discover novel genes underlying complex diseases in a technique called
150:
can be traced to certain areas by comparing the samples taken from organ recipients and deciphering the foreign marker in their body. An array of private companies, such as
443:
Bauchet, Marc; McEvoy, Brian; Pearson, Laurel N.; Quillen, Ellen E.; Sarkisian, Tamara; Hovhannesyan, Kristine; Deka, Ranjan; Bradley, Daniel G.; Shriver, Mark D. (2007).
133:
Ancestry informative markers have a number of applications in genetic research, forensics, and private industry. AIMs that indicate a predisposition for diseases such as
654:"Exploration of the utility of ancestry informative markers for genetic association studies of African Americans with type 2 diabetes and end stage renal disease" 174: 43:
A single-nucleotide polymorphism is a modification of a single nucleotide base within a DNA sequence. There are an estimated 15 million SNP (
321: 159: 122: 85: 44: 37: 990: 84:
Following the development of ancient DNA databases, ancient ancestry-informative marker (aAIM) were similarly defined as a
394:
Qu, Hui-Qi; Li, Quan; Xu, Shuhua; McCormick, Joseph B.; Fisher-Hoch, Susan P.; Xiong, Momiao; Qian, Ji; Jin, Li (2012).
205:
While some believe that structured populations should be used in studies to better ascertain genetic associations to
595:
Loenen, Wil A. M.; Dryden, David T. F.; Raleigh, Elisabeth A.; Wilson, Geoffrey G.; Murray, Noreen E. (2013-10-18).
81:
Collections of AIMs have been developed that can estimate the geographical origins of ancestors from within Europe.
1022: 931:"Ancestry informative marker panels for African Americans based on subsets of commercially available SNP arrays" 805: 134: 494:"Ancient Ancestry Informative Markers for Identifying Fine-Scale Ancient Population Structure in Eurasians" 138: 60: 202:
necessary screening from hundreds of thousands of SNP markers to a panel of a few thousands of AIMs.
745:
Stoeklé, Henri-Corto; Mamzer-Bruneel, Marie-France; Vogt, Guillaume; Hervé, Christian (2016-03-31).
25: 911: 859: 577: 106: 968: 950: 903: 895: 851: 843: 786: 768: 727: 691: 673: 634: 616: 569: 561: 525: 474: 425: 376: 358: 317: 292: 266: 223: 198: 142: 56: 48: 958: 942: 887: 835: 776: 758: 719: 681: 665: 624: 608: 553: 515: 505: 492:
Elhaik, Eran; Pirooznia, Mehdi; Syed, Syakir; Das, Ranajit; Esposito, Umberto (2018-12-12).
464: 456: 415: 407: 366: 350: 282: 248: 177:(GINA) prevents the use of genetic information for insurance and workplace discrimination. 16: 162: 963: 930: 826:
admixed populations and implications for clinical epidemiology and forensic medicine".
781: 746: 686: 653: 629: 596: 520: 493: 469: 444: 420: 395: 371: 338: 102: 98: 997: 806:"Statement of Administration Policy: Genetic Information Nondiscrimination Act (2007)" 97:
The discovery of ancestry-informative markers was made possible by the development of
1016: 354: 118: 67: 915: 863: 581: 1002: 155: 110: 337:
Sampson, Joshua N.; Kidd, Kenneth K.; Kidd, Judith R.; Zhao, Hongyu (2011-06-14).
287: 270: 723: 194: 147: 75: 891: 839: 763: 669: 954: 899: 847: 772: 731: 677: 620: 565: 362: 252: 445:"Measuring European Population Stratification with Microarray Genotype Data" 1006: 972: 907: 855: 790: 695: 638: 597:"Highlights of the DNA cutters: a short history of the restriction enzymes" 573: 529: 478: 429: 380: 296: 411: 311: 612: 510: 101:, or NGS. NGS enables the study of genetic markers by isolating specific 946: 218: 206: 167: 151: 114: 316:. Oxford, England ; San Diego, California : Academic Press. 187: 78:
ancestry can be distinguished unambiguously using a set of 140 AIMS.
71: 991:"Skin pigmentation, biogeographical ancestry and admixture mapping," 557: 460: 170:
ing, enabling their researchers to discover more insights on AIMs.
396:"Ancestry Informative Marker Set for Han Chinese Population" 173:
Though AIM panels can be useful for disease screening, the
929:
Tandon, Arti; Patterson, Nick; Reich, David (2010-12-22).
712:
Forensic Science International: Genetics Supplement Series
105:. One such method for sequence extraction is the use 20:
AIMS can be used to identify five European "clusters"
747:"23andMe: a new two-sided data-banking market model" 117:, can also help to acquire information of the 193:AIM panels can be used for detecting disease 121:in a broad range of organisms and find SNPs ( 8: 962: 780: 762: 685: 628: 519: 509: 468: 419: 370: 286: 175:Genetic Information Nondiscrimination Act 141:have been shown to reduce the effects of 15: 235: 449:The American Journal of Human Genetics 820: 818: 339:"Selecting SNPs to Identify Ancestry" 7: 14: 197:. One such panel was created for 190:than those of European ancestry. 355:10.1111/j.1469-1809.2011.00656.x 993:Hum. Genet. 112, 387-399 (2003) 123:single nucleotide polymorphisms 186:found to be at higher risk of 86:single-nucleotide polymorphism 45:Single-nucleotide polymorphism 38:single-nucleotide polymorphism 1: 288:10.1126/science.318.5858.1842 804:Slaughter (April 25, 2007). 724:10.1016/j.fsigss.2015.09.120 400:G3: Genes, Genomes, Genetics 243:"Polymorphism (genetics)". 30:ancestry-informative marker 1039: 125:), within a DNA sequence. 99:next generation sequencing 989:Shriver, Mark D. et al., 892:10.1007/s00439-009-0649-2 840:10.1007/s00439-005-0012-1 764:10.1186/s12910-016-0101-9 670:10.1007/s00439-008-0532-6 271:"Human Genetic Variation" 160:direct-to-consumers (DTC) 158:, provide cost-effective 93:Discovery and development 343:Annals of Human Genetics 253:10.1036/1097-8542.535500 59:or mapping by admixture 546:Nature Reviews Genetics 1009:from DNAPrint Genomics 601:Nucleic Acids Research 61:linkage disequilibrium 21: 412:10.1534/g3.112.001941 310:Houck, Max M (2015). 19: 935:Genetic Epidemiology 511:10.3390/genes9120625 66:As one example, the 996:SNP Science Primer 281:(5858): 1842–1843. 107:restriction enzymes 26:population genetics 947:10.1002/gepi.20550 751:BMC Medical Ethics 613:10.1093/nar/gkt990 267:Pennisi, Elizabeth 22: 224:Race and genetics 148:organ trafficking 143:genetic admixture 57:admixture mapping 49:mitochondrial DNA 1030: 1023:Applied genetics 977: 976: 966: 926: 920: 919: 886:(5–6): 565–579. 874: 868: 867: 834:(3–4): 382–392. 822: 813: 812: 810: 801: 795: 794: 784: 766: 742: 736: 735: 706: 700: 699: 689: 649: 643: 642: 632: 592: 586: 585: 540: 534: 533: 523: 513: 489: 483: 482: 472: 440: 434: 433: 423: 391: 385: 384: 374: 334: 328: 327: 313:Forensic biology 307: 301: 300: 290: 263: 257: 256: 240: 199:African American 181:Medical research 1038: 1037: 1033: 1032: 1031: 1029: 1028: 1027: 1013: 1012: 981: 980: 928: 927: 923: 876: 875: 871: 824: 823: 816: 808: 803: 802: 798: 744: 743: 739: 708: 707: 703: 651: 650: 646: 594: 593: 589: 558:10.1038/nrg3012 542: 541: 537: 491: 490: 486: 442: 441: 437: 393: 392: 388: 336: 335: 331: 324: 309: 308: 304: 265: 264: 260: 242: 241: 237: 232: 215: 183: 163:genetic testing 135:type 2 diabetes 131: 109:, specifically 95: 12: 11: 5: 1036: 1034: 1026: 1025: 1015: 1014: 1011: 1010: 1004: 1001:dbSNP Summary 999: 994: 986: 985: 979: 978: 921: 880:Human Genetics 869: 828:Human Genetics 814: 796: 737: 701: 664:(2): 147–154. 658:Human Genetics 644: 587: 552:(7): 499–510. 535: 484: 461:10.1086/513477 455:(5): 948–956. 435: 406:(3): 339–341. 386: 349:(4): 539–553. 329: 322: 302: 258: 234: 233: 231: 228: 227: 226: 221: 214: 211: 182: 179: 130: 127: 119:transcriptomes 103:gene sequences 94: 91: 13: 10: 9: 6: 4: 3: 2: 1035: 1024: 1021: 1020: 1018: 1008: 1005: 1003: 1000: 998: 995: 992: 988: 987: 983: 982: 974: 970: 965: 960: 956: 952: 948: 944: 940: 936: 932: 925: 922: 917: 913: 909: 905: 901: 897: 893: 889: 885: 881: 873: 870: 865: 861: 857: 853: 849: 845: 841: 837: 833: 829: 821: 819: 815: 807: 800: 797: 792: 788: 783: 778: 774: 770: 765: 760: 756: 752: 748: 741: 738: 733: 729: 725: 721: 718:: e302–e304. 717: 713: 705: 702: 697: 693: 688: 683: 679: 675: 671: 667: 663: 659: 655: 648: 645: 640: 636: 631: 626: 622: 618: 614: 610: 606: 602: 598: 591: 588: 583: 579: 575: 571: 567: 563: 559: 555: 551: 547: 539: 536: 531: 527: 522: 517: 512: 507: 503: 499: 495: 488: 485: 480: 476: 471: 466: 462: 458: 454: 450: 446: 439: 436: 431: 427: 422: 417: 413: 409: 405: 401: 397: 390: 387: 382: 378: 373: 368: 364: 360: 356: 352: 348: 344: 340: 333: 330: 325: 323:9780128007112 319: 315: 314: 306: 303: 298: 294: 289: 284: 280: 276: 272: 268: 262: 259: 254: 250: 246: 245:AccessScience 239: 236: 229: 225: 222: 220: 217: 216: 212: 210: 208: 203: 200: 196: 191: 189: 180: 178: 176: 171: 169: 164: 161: 157: 153: 149: 144: 140: 139:renal disease 137:mellitus and 136: 128: 126: 124: 120: 116: 112: 108: 104: 100: 92: 90: 87: 82: 79: 77: 73: 69: 64: 62: 58: 53: 50: 46: 41: 39: 35: 31: 27: 18: 941:(1): 80–83. 938: 934: 924: 883: 879: 872: 831: 827: 799: 754: 750: 740: 715: 711: 704: 661: 657: 647: 604: 600: 590: 549: 545: 538: 501: 497: 487: 452: 448: 438: 403: 399: 389: 346: 342: 332: 312: 305: 278: 274: 261: 244: 238: 204: 195:risk factors 192: 184: 172: 132: 129:Applications 111:endonuclease 96: 83: 80: 65: 54: 42: 33: 29: 23: 1007:Explanation 607:(1): 3–19. 504:(12): 625. 156:AncestryDNA 76:Han Chinese 230:References 955:0741-0395 900:0340-6717 848:0340-6717 773:1472-6939 757:(1): 19. 732:1875-1768 678:0340-6717 621:1362-4962 566:1471-0056 363:0003-4800 1017:Category 973:21181899 916:21141741 908:19290544 864:20152083 856:16193326 791:27059184 696:18654799 639:24141096 582:15080731 574:21681211 530:30545160 479:17436249 430:22413087 381:21668909 297:18096770 269:(2007). 213:See also 207:diseases 984:General 964:4386999 782:4826522 687:2786006 630:3874209 521:6316245 470:1852743 421:3291503 372:3141729 275:Science 219:SLC24A5 168:biobank 152:23andMe 115:RNA-seq 36:) is a 971:  961:  953:  914:  906:  898:  862:  854:  846:  789:  779:  771:  730:  694:  684:  676:  637:  627:  619:  580:  572:  564:  528:  518:  477:  467:  428:  418:  379:  369:  361:  320:  295:  188:asthma 72:allele 912:S2CID 860:S2CID 809:(PDF) 578:S2CID 498:Genes 70:Null 68:Duffy 28:, an 969:PMID 951:ISSN 904:PMID 896:ISSN 852:PMID 844:ISSN 787:PMID 769:ISSN 728:ISSN 692:PMID 674:ISSN 635:PMID 617:ISSN 570:PMID 562:ISSN 526:PMID 475:PMID 426:PMID 377:PMID 359:ISSN 318:ISBN 293:PMID 154:and 959:PMC 943:doi 888:doi 884:125 836:doi 832:118 777:PMC 759:doi 720:doi 682:PMC 666:doi 662:124 625:PMC 609:doi 554:doi 516:PMC 506:doi 465:PMC 457:doi 416:PMC 408:doi 367:PMC 351:doi 283:doi 279:318 249:doi 34:AIM 24:In 1019:: 967:. 957:. 949:. 939:35 937:. 933:. 910:. 902:. 894:. 882:. 858:. 850:. 842:. 830:. 817:^ 785:. 775:. 767:. 755:17 753:. 749:. 726:. 714:. 690:. 680:. 672:. 660:. 656:. 633:. 623:. 615:. 605:42 603:. 599:. 576:. 568:. 560:. 550:12 548:. 524:. 514:. 500:. 496:. 473:. 463:. 453:80 451:. 447:. 424:. 414:. 402:. 398:. 375:. 365:. 357:. 347:75 345:. 341:. 291:. 277:. 273:. 247:. 63:. 975:. 945:: 918:. 890:: 866:. 838:: 811:. 793:. 761:: 734:. 722:: 716:5 698:. 668:: 641:. 611:: 584:. 556:: 532:. 508:: 502:9 481:. 459:: 432:. 410:: 404:2 383:. 353:: 326:. 299:. 285:: 255:. 251:: 32:(

Index


population genetics
single-nucleotide polymorphism
Single-nucleotide polymorphism
mitochondrial DNA
admixture mapping
linkage disequilibrium
Duffy
allele
Han Chinese
single-nucleotide polymorphism
next generation sequencing
gene sequences
restriction enzymes
endonuclease
RNA-seq
transcriptomes
single nucleotide polymorphisms
type 2 diabetes
renal disease
genetic admixture
organ trafficking
23andMe
AncestryDNA
direct-to-consumers (DTC)
genetic testing
biobank
Genetic Information Nondiscrimination Act
asthma
risk factors

Text is available under the Creative Commons Attribution-ShareAlike License. Additional terms may apply.