Estimating ancestral proportions in a multi-ethnic US sample: implications for studies of admixed populations
<p>Abstract</p> <p>This study was designed to determine the ancestral composition of a multi-ethnic sample collected for studies of drug addictions in New York City and Las Vegas, and to examine the reliability of self-identified ethnicity and three-generation family history data....
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BMC
2012-07-01
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Series: | Human Genomics |
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Online Access: | http://www.humgenomics.com/content/6/1/2 |
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author | Levran Orna Awolesi Olaoluwakitan Shen Pei-Hong Adelson Miriam Kreek Mary |
author_facet | Levran Orna Awolesi Olaoluwakitan Shen Pei-Hong Adelson Miriam Kreek Mary |
author_sort | Levran Orna |
collection | DOAJ |
description | <p>Abstract</p> <p>This study was designed to determine the ancestral composition of a multi-ethnic sample collected for studies of drug addictions in New York City and Las Vegas, and to examine the reliability of self-identified ethnicity and three-generation family history data. Ancestry biographical scores for seven clusters corresponding to world major geographical regions were obtained using STRUCTURE, based on genotypes of 168 ancestry informative markers (AIMs), for a sample of 1,291 African Americans (AA), European Americans (EA), and Hispanic Americans (HA) along with data from 1,051 HGDP-CEPH ‘diversity panel’ as a reference. Self-identified ethnicity and family history data, obtained in an interview, were accurate in identifying the individual major ancestry in the AA and the EA samples (approximately 99% and 95%, respectively) but were not useful for the HA sample and could not predict the extent of admixture in any group. The mean proportions of the combined clusters corresponding to European and Middle Eastern populations in the AA sample, revealed by AIMs analysis, were 0.13. The HA subjects, predominantly Puerto Ricans, showed a highly variable hybrid contribution pattern of clusters corresponding to Europe (0.27), Middle East (0.27), Africa (0.20), and Central Asia (0.14). The effect of admixture on allele frequencies is demonstrated for two single-nucleotide polymorphisms (118A > G, 17 C > T) of the <it>mu</it> opioid receptor gene (<it>OPRM1</it>). This study reiterates the importance of AIMs in defining ancestry, especially in admixed populations.</p> |
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issn | 1479-7364 |
language | English |
last_indexed | 2024-04-11T12:57:03Z |
publishDate | 2012-07-01 |
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series | Human Genomics |
spelling | doaj.art-500dc9d6b2ce46e8bf92b603f4b8457d2022-12-22T04:23:03ZengBMCHuman Genomics1479-73642012-07-0161210.1186/1479-7364-6-2Estimating ancestral proportions in a multi-ethnic US sample: implications for studies of admixed populationsLevran OrnaAwolesi OlaoluwakitanShen Pei-HongAdelson MiriamKreek Mary<p>Abstract</p> <p>This study was designed to determine the ancestral composition of a multi-ethnic sample collected for studies of drug addictions in New York City and Las Vegas, and to examine the reliability of self-identified ethnicity and three-generation family history data. Ancestry biographical scores for seven clusters corresponding to world major geographical regions were obtained using STRUCTURE, based on genotypes of 168 ancestry informative markers (AIMs), for a sample of 1,291 African Americans (AA), European Americans (EA), and Hispanic Americans (HA) along with data from 1,051 HGDP-CEPH ‘diversity panel’ as a reference. Self-identified ethnicity and family history data, obtained in an interview, were accurate in identifying the individual major ancestry in the AA and the EA samples (approximately 99% and 95%, respectively) but were not useful for the HA sample and could not predict the extent of admixture in any group. The mean proportions of the combined clusters corresponding to European and Middle Eastern populations in the AA sample, revealed by AIMs analysis, were 0.13. The HA subjects, predominantly Puerto Ricans, showed a highly variable hybrid contribution pattern of clusters corresponding to Europe (0.27), Middle East (0.27), Africa (0.20), and Central Asia (0.14). The effect of admixture on allele frequencies is demonstrated for two single-nucleotide polymorphisms (118A > G, 17 C > T) of the <it>mu</it> opioid receptor gene (<it>OPRM1</it>). This study reiterates the importance of AIMs in defining ancestry, especially in admixed populations.</p>http://www.humgenomics.com/content/6/1/2Ancestry informative markersHispanicsAfrican AmericansFamily historyAncestryAdmixture |
spellingShingle | Levran Orna Awolesi Olaoluwakitan Shen Pei-Hong Adelson Miriam Kreek Mary Estimating ancestral proportions in a multi-ethnic US sample: implications for studies of admixed populations Human Genomics Ancestry informative markers Hispanics African Americans Family history Ancestry Admixture |
title | Estimating ancestral proportions in a multi-ethnic US sample: implications for studies of admixed populations |
title_full | Estimating ancestral proportions in a multi-ethnic US sample: implications for studies of admixed populations |
title_fullStr | Estimating ancestral proportions in a multi-ethnic US sample: implications for studies of admixed populations |
title_full_unstemmed | Estimating ancestral proportions in a multi-ethnic US sample: implications for studies of admixed populations |
title_short | Estimating ancestral proportions in a multi-ethnic US sample: implications for studies of admixed populations |
title_sort | estimating ancestral proportions in a multi ethnic us sample implications for studies of admixed populations |
topic | Ancestry informative markers Hispanics African Americans Family history Ancestry Admixture |
url | http://www.humgenomics.com/content/6/1/2 |
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