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Discovery of Rare Variants via Sequencing: Implications for the Design of Complex Trait Association Studies

There is strong evidence that rare variants are involved in complex disease etiology. The first step in implicating rare variants in disease etiology is their identification through sequencing in both randomly ascertained samples (e.g., the 1,000 Genomes Project) and samples ascertained according to...

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Detalles Bibliográficos
Autores principales: Li, Bingshan, Leal, Suzanne M.
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674213/
https://www.ncbi.nlm.nih.gov/pubmed/19436704
http://dx.doi.org/10.1371/journal.pgen.1000481
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author Li, Bingshan
Leal, Suzanne M.
author_facet Li, Bingshan
Leal, Suzanne M.
author_sort Li, Bingshan
collection PubMed
description There is strong evidence that rare variants are involved in complex disease etiology. The first step in implicating rare variants in disease etiology is their identification through sequencing in both randomly ascertained samples (e.g., the 1,000 Genomes Project) and samples ascertained according to disease status. We investigated to what extent rare variants will be observed across the genome and in candidate genes in randomly ascertained samples, the magnitude of variant enrichment in diseased individuals, and biases that can occur due to how variants are discovered. Although sequencing cases can enrich for casual variants, when a gene or genes are not involved in disease etiology, limiting variant discovery to cases can lead to association studies with dramatically inflated false positive rates.
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spelling pubmed-26742132009-05-15 Discovery of Rare Variants via Sequencing: Implications for the Design of Complex Trait Association Studies Li, Bingshan Leal, Suzanne M. PLoS Genet Research Article There is strong evidence that rare variants are involved in complex disease etiology. The first step in implicating rare variants in disease etiology is their identification through sequencing in both randomly ascertained samples (e.g., the 1,000 Genomes Project) and samples ascertained according to disease status. We investigated to what extent rare variants will be observed across the genome and in candidate genes in randomly ascertained samples, the magnitude of variant enrichment in diseased individuals, and biases that can occur due to how variants are discovered. Although sequencing cases can enrich for casual variants, when a gene or genes are not involved in disease etiology, limiting variant discovery to cases can lead to association studies with dramatically inflated false positive rates. Public Library of Science 2009-05-15 /pmc/articles/PMC2674213/ /pubmed/19436704 http://dx.doi.org/10.1371/journal.pgen.1000481 Text en Li, Leal. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Li, Bingshan
Leal, Suzanne M.
Discovery of Rare Variants via Sequencing: Implications for the Design of Complex Trait Association Studies
title Discovery of Rare Variants via Sequencing: Implications for the Design of Complex Trait Association Studies
title_full Discovery of Rare Variants via Sequencing: Implications for the Design of Complex Trait Association Studies
title_fullStr Discovery of Rare Variants via Sequencing: Implications for the Design of Complex Trait Association Studies
title_full_unstemmed Discovery of Rare Variants via Sequencing: Implications for the Design of Complex Trait Association Studies
title_short Discovery of Rare Variants via Sequencing: Implications for the Design of Complex Trait Association Studies
title_sort discovery of rare variants via sequencing: implications for the design of complex trait association studies
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2674213/
https://www.ncbi.nlm.nih.gov/pubmed/19436704
http://dx.doi.org/10.1371/journal.pgen.1000481
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