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Using ancestry-informative markers to identify fine structure across 15 populations of European origin
The Wellcome Trust Case Control Consortium 3 anorexia nervosa genome-wide association scan includes 2907 cases from 15 different populations of European origin genotyped on the Illumina 670K chip. We compared methods for identifying population stratification, and suggest list of markers that may hel...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4169539/ https://www.ncbi.nlm.nih.gov/pubmed/24549058 http://dx.doi.org/10.1038/ejhg.2014.1 |
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author | Huckins, Laura M Boraska, Vesna Franklin, Christopher S Floyd, James A B Southam, Lorraine Sullivan, Patrick F Bulik, Cynthia M Collier, David A Tyler-Smith, Chris Zeggini, Eleftheria Tachmazidou, Ioanna |
author_facet | Huckins, Laura M Boraska, Vesna Franklin, Christopher S Floyd, James A B Southam, Lorraine Sullivan, Patrick F Bulik, Cynthia M Collier, David A Tyler-Smith, Chris Zeggini, Eleftheria Tachmazidou, Ioanna |
author_sort | Huckins, Laura M |
collection | PubMed |
description | The Wellcome Trust Case Control Consortium 3 anorexia nervosa genome-wide association scan includes 2907 cases from 15 different populations of European origin genotyped on the Illumina 670K chip. We compared methods for identifying population stratification, and suggest list of markers that may help to counter this problem. It is usual to identify population structure in such studies using only common variants with minor allele frequency (MAF) >5% we find that this may result in highly informative SNPs being discarded, and suggest that instead all SNPs with MAF >1% may be used. We established informative axes of variation identified via principal component analysis and highlight important features of the genetic structure of diverse European-descent populations, some studied for the first time at this scale. Finally, we investigated the substructure within each of these 15 populations and identified SNPs that help capture hidden stratification. This work can provide information regarding the designing and interpretation of association results in the International Consortia. |
format | Online Article Text |
id | pubmed-4169539 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-41695392014-10-01 Using ancestry-informative markers to identify fine structure across 15 populations of European origin Huckins, Laura M Boraska, Vesna Franklin, Christopher S Floyd, James A B Southam, Lorraine Sullivan, Patrick F Bulik, Cynthia M Collier, David A Tyler-Smith, Chris Zeggini, Eleftheria Tachmazidou, Ioanna Eur J Hum Genet Article The Wellcome Trust Case Control Consortium 3 anorexia nervosa genome-wide association scan includes 2907 cases from 15 different populations of European origin genotyped on the Illumina 670K chip. We compared methods for identifying population stratification, and suggest list of markers that may help to counter this problem. It is usual to identify population structure in such studies using only common variants with minor allele frequency (MAF) >5% we find that this may result in highly informative SNPs being discarded, and suggest that instead all SNPs with MAF >1% may be used. We established informative axes of variation identified via principal component analysis and highlight important features of the genetic structure of diverse European-descent populations, some studied for the first time at this scale. Finally, we investigated the substructure within each of these 15 populations and identified SNPs that help capture hidden stratification. This work can provide information regarding the designing and interpretation of association results in the International Consortia. Nature Publishing Group 2014-10 2014-02-19 /pmc/articles/PMC4169539/ /pubmed/24549058 http://dx.doi.org/10.1038/ejhg.2014.1 Text en Copyright © 2014 Macmillan Publishers Limited http://creativecommons.org/licenses/by/3.0/ This work is licensed under a Creative Commons Attribution 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/3.0/ |
spellingShingle | Article Huckins, Laura M Boraska, Vesna Franklin, Christopher S Floyd, James A B Southam, Lorraine Sullivan, Patrick F Bulik, Cynthia M Collier, David A Tyler-Smith, Chris Zeggini, Eleftheria Tachmazidou, Ioanna Using ancestry-informative markers to identify fine structure across 15 populations of European origin |
title | Using ancestry-informative markers to identify fine structure across 15 populations of European origin |
title_full | Using ancestry-informative markers to identify fine structure across 15 populations of European origin |
title_fullStr | Using ancestry-informative markers to identify fine structure across 15 populations of European origin |
title_full_unstemmed | Using ancestry-informative markers to identify fine structure across 15 populations of European origin |
title_short | Using ancestry-informative markers to identify fine structure across 15 populations of European origin |
title_sort | using ancestry-informative markers to identify fine structure across 15 populations of european origin |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4169539/ https://www.ncbi.nlm.nih.gov/pubmed/24549058 http://dx.doi.org/10.1038/ejhg.2014.1 |
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