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Family- and population-based designs identify different rare causal variants

Both family- and population-based samples are used to identify genetic variants associated with phenotypes. Each strategy has demonstrated advantages, but their ability to identify rare variants and genes containing rare variants is unclear. To compare these two study designs in the identification o...

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Detalles Bibliográficos
Autores principales: Zhang, Xue, He, Hua, Ding, Lili, Baye, Tesfaye M, Kurowski, Brad G, Martin, Lisa J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287872/
https://www.ncbi.nlm.nih.gov/pubmed/22373077
http://dx.doi.org/10.1186/1753-6561-5-S9-S36
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author Zhang, Xue
He, Hua
Ding, Lili
Baye, Tesfaye M
Kurowski, Brad G
Martin, Lisa J
author_facet Zhang, Xue
He, Hua
Ding, Lili
Baye, Tesfaye M
Kurowski, Brad G
Martin, Lisa J
author_sort Zhang, Xue
collection PubMed
description Both family- and population-based samples are used to identify genetic variants associated with phenotypes. Each strategy has demonstrated advantages, but their ability to identify rare variants and genes containing rare variants is unclear. To compare these two study designs in the identification of rare causal variants, we applied various methods to the population- and family-based data simulated by the Genetic Analysis Workshop 17 with knowledge of the simulated model. Our results suggest that different variants can be identified by different study designs. Family-based and population-based study designs can be complementary in the identification of rare causal variants and should be considered in future studies.
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spelling pubmed-32878722012-02-28 Family- and population-based designs identify different rare causal variants Zhang, Xue He, Hua Ding, Lili Baye, Tesfaye M Kurowski, Brad G Martin, Lisa J BMC Proc Proceedings Both family- and population-based samples are used to identify genetic variants associated with phenotypes. Each strategy has demonstrated advantages, but their ability to identify rare variants and genes containing rare variants is unclear. To compare these two study designs in the identification of rare causal variants, we applied various methods to the population- and family-based data simulated by the Genetic Analysis Workshop 17 with knowledge of the simulated model. Our results suggest that different variants can be identified by different study designs. Family-based and population-based study designs can be complementary in the identification of rare causal variants and should be considered in future studies. BioMed Central 2011-11-29 /pmc/articles/PMC3287872/ /pubmed/22373077 http://dx.doi.org/10.1186/1753-6561-5-S9-S36 Text en Copyright ©2011 Zhang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Proceedings
Zhang, Xue
He, Hua
Ding, Lili
Baye, Tesfaye M
Kurowski, Brad G
Martin, Lisa J
Family- and population-based designs identify different rare causal variants
title Family- and population-based designs identify different rare causal variants
title_full Family- and population-based designs identify different rare causal variants
title_fullStr Family- and population-based designs identify different rare causal variants
title_full_unstemmed Family- and population-based designs identify different rare causal variants
title_short Family- and population-based designs identify different rare causal variants
title_sort family- and population-based designs identify different rare causal variants
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3287872/
https://www.ncbi.nlm.nih.gov/pubmed/22373077
http://dx.doi.org/10.1186/1753-6561-5-S9-S36
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