Literature DB >> 19892779

Genetic structure of a unique admixed population: implications for medical research.

Nick Patterson1, Desiree C Petersen, Richard E van der Ross, Herawati Sudoyo, Richard H Glashoff, Sangkot Marzuki, David Reich, Vanessa M Hayes.   

Abstract

STATEMENT: In naming population groups, we think a chief aim is to use terms that the group members use themselves, or find familiar and comfortable. The terms used in this manuscript to describe populations are as historically correct as possible and are chosen so as not to offend any population group. Two of the authors (DCP and REvdR) belong to the Coloured population, with one of the authors (REvdR) having contributed extensively to current literature on the history of the Coloured people of South Africa and served as Vice-President of the South African Institute of Race Relations. According to the 2001 South African census (http://www.statssa.gov.za/census01/HTML/CInBrief/CIB2001.pdf), "Statistics South Africa continues to classify people by population group, in order to monitor progress in moving away from the apartheid-based discrimination of the past. However, membership of a population group is now based on self-perception and self-classification, not on a legal definition. Five options were provided on the questionnaire, Black African, Coloured, Indian or Asian, White and Other. Responses in the category 'Other' were very few and were therefore imputed". We have elected to use the term Bushmen rather than San to refer to the hunter-gatherer people of Southern Africa. Although they have no collective name for themselves, this decision was based on the term Bushmen (or Bossiesman) being the more familiar to the communities themselves, while the term San is the more accepted academic classification. Understanding human genetic structure has fundamental implications for understanding the evolution and impact of human diseases. In this study, we describe the complex genetic substructure of a unique and recently admixed population arising approximately 350 years ago as a direct result of European settlement in South Africa. Analysis was performed using over 900 000 genome-wide single nucleotide polymorphisms in 20 unrelated ancestry-informative marker selected Coloured individuals and made comparisons with historically predicted founder populations. We show that there is substantial genetic contribution from at least four distinct population groups: Europeans, South Asians, Indonesians and a population genetically close to the isiXhosa sub-Saharan Bantu. This is in good accord with the historical record. We briefly examine the implications of determining the genetic diversity of this population, not only for furthering understanding of human evolution out of Africa, but also for genome-wide association studies using admixture mapping. In conclusion, we define the genetic structure of a uniquely admixed population that holds great potential to advance genetic-based medical research.

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Mesh:

Year:  2009        PMID: 19892779     DOI: 10.1093/hmg/ddp505

Source DB:  PubMed          Journal:  Hum Mol Genet        ISSN: 0964-6906            Impact factor:   6.150


  55 in total

1.  Strong maternal Khoisan contribution to the South African coloured population: a case of gender-biased admixture.

Authors:  Lluis Quintana-Murci; Christine Harmant; Hélène Quach; Oleg Balanovsky; Valery Zaporozhchenko; Connie Bormans; Paul D van Helden; Eileen G Hoal; Doron M Behar
Journal:  Am J Hum Genet       Date:  2010-03-25       Impact factor: 11.025

2.  Pharmacogenetic comparison of CYP2D6 predictive and measured phenotypes in a South African cohort.

Authors:  T M Dodgen; C De J Labuschagne; A van Schalkwyk; F E Steffens; A Gaedigk; A D Cromarty; M Alessandrini; M S Pepper
Journal:  Pharmacogenomics J       Date:  2015-10-27       Impact factor: 3.550

3.  Genome-wide association study of ancestry-specific TB risk in the South African Coloured population.

Authors:  Emile R Chimusa; Noah Zaitlen; Michelle Daya; Marlo Möller; Paul D van Helden; Nicola J Mulder; Alkes L Price; Eileen G Hoal
Journal:  Hum Mol Genet       Date:  2013-09-20       Impact factor: 6.150

4.  Accurate local-ancestry inference in exome-sequenced admixed individuals via off-target sequence reads.

Authors:  Youna Hu; Cristen Willer; Xiaowei Zhan; Hyun Min Kang; Gonçalo R Abecasis
Journal:  Am J Hum Genet       Date:  2013-11-07       Impact factor: 11.025

5.  Indian Siddis: African descendants with Indian admixture.

Authors:  Anish M Shah; Rakesh Tamang; Priya Moorjani; Deepa Selvi Rani; Periyasamy Govindaraj; Gururaj Kulkarni; Tanmoy Bhattacharya; Mohammed S Mustak; L V K S Bhaskar; Alla G Reddy; Dharmendra Gadhvi; Pramod B Gai; Gyaneshwer Chaubey; Nick Patterson; David Reich; Chris Tyler-Smith; Lalji Singh; Kumarasamy Thangaraj
Journal:  Am J Hum Genet       Date:  2011-07-07       Impact factor: 11.025

Review 6.  Genetic variation and adaptation in Africa: implications for human evolution and disease.

Authors:  Felicia Gomez; Jibril Hirbo; Sarah A Tishkoff
Journal:  Cold Spring Harb Perspect Biol       Date:  2014-07-01       Impact factor: 10.005

7.  Sex estimation from the long bones of modern South Africans.

Authors:  Gabriele C Krüger; Ericka N L'Abbé; Kyra E Stull
Journal:  Int J Legal Med       Date:  2016-11-08       Impact factor: 2.686

8.  Ancient admixture in human history.

Authors:  Nick Patterson; Priya Moorjani; Yontao Luo; Swapan Mallick; Nadin Rohland; Yiping Zhan; Teri Genschoreck; Teresa Webster; David Reich
Journal:  Genetics       Date:  2012-09-07       Impact factor: 4.562

9.  Comprehensive sequence analysis of the human IL23A gene defines new variation content and high rate of evolutionary conservation.

Authors:  Elizabeth A Tindall; Vanessa M Hayes
Journal:  DNA Res       Date:  2010-02-12       Impact factor: 4.458

10.  Genetic admixture and population substructure in Guanacaste Costa Rica.

Authors:  Zhaoming Wang; Allan Hildesheim; Sophia S Wang; Rolando Herrero; Paula Gonzalez; Laurie Burdette; Amy Hutchinson; Gilles Thomas; Stephen J Chanock; Kai Yu
Journal:  PLoS One       Date:  2010-10-13       Impact factor: 3.240

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