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Recent genomic heritage in Scotland
BACKGROUND: The Generation Scotland Scottish Family Health Study (GS:SFHS) includes 23,960 participants from across Scotland with records for many health-related traits and environmental covariates. Genotypes at ~700 K SNPs are currently available for 10,000 participants. The cohort was designed as...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4458001/ https://www.ncbi.nlm.nih.gov/pubmed/26048416 http://dx.doi.org/10.1186/s12864-015-1605-2 |
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author | Amador, Carmen Huffman, Jennifer Trochet, Holly Campbell, Archie Porteous, David Wilson, James F Hastie, Nick Vitart, Veronique Hayward, Caroline Navarro, Pau Haley, Chris S |
author_facet | Amador, Carmen Huffman, Jennifer Trochet, Holly Campbell, Archie Porteous, David Wilson, James F Hastie, Nick Vitart, Veronique Hayward, Caroline Navarro, Pau Haley, Chris S |
author_sort | Amador, Carmen |
collection | PubMed |
description | BACKGROUND: The Generation Scotland Scottish Family Health Study (GS:SFHS) includes 23,960 participants from across Scotland with records for many health-related traits and environmental covariates. Genotypes at ~700 K SNPs are currently available for 10,000 participants. The cohort was designed as a resource for genetic and health related research and the study of complex traits. In this study we developed a suite of analyses to disentangle the genomic differentiation within GS:SFHS individuals to describe and optimise the sample and methods for future analyses. RESULTS: We combined the genotypic information of GS:SFHS with 1092 individuals from the 1000 Genomes project and estimated their genomic relationships. Then, we performed Principal Component Analyses of the resulting relationships to investigate the genomic origin of different groups. We characterised two groups of individuals: those with a few sparse rare markers in the genome, and those with several large rare haplotypes which might represent relatively recent exogenous ancestors. We identified some individuals with likely Italian ancestry and a group with some potential African/Asian ancestry. An analysis of homozygosity in the GS:SFHS sample revealed a very similar pattern to other European populations. We also identified an individual carrying a chromosome 1 uniparental disomy. We found evidence of local geographic stratification within the population having impact on the genomic structure. CONCLUSIONS: These findings illuminate the history of the Scottish population and have implications for further analyses such as the study of the contributions of common and rare variants to trait heritabilities and the evaluation of genomic and phenotypic prediction of disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1605-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4458001 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44580012015-06-07 Recent genomic heritage in Scotland Amador, Carmen Huffman, Jennifer Trochet, Holly Campbell, Archie Porteous, David Wilson, James F Hastie, Nick Vitart, Veronique Hayward, Caroline Navarro, Pau Haley, Chris S BMC Genomics Research Article BACKGROUND: The Generation Scotland Scottish Family Health Study (GS:SFHS) includes 23,960 participants from across Scotland with records for many health-related traits and environmental covariates. Genotypes at ~700 K SNPs are currently available for 10,000 participants. The cohort was designed as a resource for genetic and health related research and the study of complex traits. In this study we developed a suite of analyses to disentangle the genomic differentiation within GS:SFHS individuals to describe and optimise the sample and methods for future analyses. RESULTS: We combined the genotypic information of GS:SFHS with 1092 individuals from the 1000 Genomes project and estimated their genomic relationships. Then, we performed Principal Component Analyses of the resulting relationships to investigate the genomic origin of different groups. We characterised two groups of individuals: those with a few sparse rare markers in the genome, and those with several large rare haplotypes which might represent relatively recent exogenous ancestors. We identified some individuals with likely Italian ancestry and a group with some potential African/Asian ancestry. An analysis of homozygosity in the GS:SFHS sample revealed a very similar pattern to other European populations. We also identified an individual carrying a chromosome 1 uniparental disomy. We found evidence of local geographic stratification within the population having impact on the genomic structure. CONCLUSIONS: These findings illuminate the history of the Scottish population and have implications for further analyses such as the study of the contributions of common and rare variants to trait heritabilities and the evaluation of genomic and phenotypic prediction of disease. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-015-1605-2) contains supplementary material, which is available to authorized users. BioMed Central 2015-06-06 /pmc/articles/PMC4458001/ /pubmed/26048416 http://dx.doi.org/10.1186/s12864-015-1605-2 Text en © Amador et al. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Amador, Carmen Huffman, Jennifer Trochet, Holly Campbell, Archie Porteous, David Wilson, James F Hastie, Nick Vitart, Veronique Hayward, Caroline Navarro, Pau Haley, Chris S Recent genomic heritage in Scotland |
title | Recent genomic heritage in Scotland |
title_full | Recent genomic heritage in Scotland |
title_fullStr | Recent genomic heritage in Scotland |
title_full_unstemmed | Recent genomic heritage in Scotland |
title_short | Recent genomic heritage in Scotland |
title_sort | recent genomic heritage in scotland |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4458001/ https://www.ncbi.nlm.nih.gov/pubmed/26048416 http://dx.doi.org/10.1186/s12864-015-1605-2 |
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