The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Discerning the ancestry of European Americans in genetic association studies

Author

  • Alkes L. Price
  • Johannah Butler
  • Nick Patterson
  • Cristian Capelli
  • Vincenzo L. Pascali
  • Francesca Scarnicci
  • Andres Ruiz-Linares
  • Leif Groop
  • Angelica A. Saetta
  • Penelope Korkolopoulou
  • Uri Seligsohn
  • Alicja Waliszewska
  • Christine Schirmer
  • Kristin Ardlie
  • Alexis Ramos
  • James Nemesh
  • Lori Arbeitman
  • David B. Goldstein
  • David Reich
  • Joel N. Hirschhorn

Summary, in English

European Americans are often treated as a homogeneous group, but in fact form a structured population due to historical immigration of diverse source populations. Discerning the ancestry of European Americans genotyped in association studies is important in order to prevent false-positive or false-negative associations due to population stratification and to identify genetic variants whose contribution to disease risk differs across European ancestries. Here, we investigate empirical patterns of population structure in European Americans, analyzing 4,198 samples from four genome-wide association studies to show that components roughly corresponding to northwest European, southeast European, and Ashkenazi Jewish ancestry are the main sources of European American population structure. Building on this insight, we constructed a panel of 300 validated markers that are highly informative for distinguishing these ancestries. We demonstrate that this panel of markers can be used to correct for stratification in association studies that do not generate dense genotype data.

Publishing year

2008

Language

English

Publication/Series

PLoS Genetics

Volume

4

Issue

1

Document type

Journal article

Publisher

Public Library of Science (PLoS)

Topic

  • Endocrinology and Diabetes

Status

Published

Research group

  • Genomics, Diabetes and Endocrinology

ISBN/ISSN/Other

  • ISSN: 1553-7404