Abstract

Abstract: 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.

Details

Title
Family- and population-based designs identify different rare causal variants
Author
Zhang, Xue; He, Hua; Ding, Lili; Baye, Tesfaye M; Kurowski, Brad G; Martin, Lisa J
First page
S36
Publication year
2011
Publication date
2011
Publisher
BioMed Central
e-ISSN
1753-6561
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
906344089
Copyright
© 2011 Zhang et al; licensee BioMed Central Ltd. 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.