Family-based genome-wide association studies

Benyamin, Beben, Visscher, Peter M. and McRae, Allan F. (2009) Family-based genome-wide association studies. Pharmacogenomics, 10 2: 181-190. doi:10.2217/14622416.10.2.181


Author Benyamin, Beben
Visscher, Peter M.
McRae, Allan F.
Title Family-based genome-wide association studies
Journal name Pharmacogenomics   Check publisher's open access policy
ISSN 1462-2416
1744-8042
Publication date 2009-02
Sub-type Article (original research)
DOI 10.2217/14622416.10.2.181
Volume 10
Issue 2
Start page 181
End page 190
Total pages 10
Place of publication London, United Kingdom
Publisher Future Medicine
Language eng
Formatted abstract
In the last 2 years, the effort to identify genes affecting common diseases and complex traits has been accelerated through the use of genome-wide association studies (GWAS). The availability of existing large collections of linkage data paved the way for the use of family-based GWAS. Although most published GWAS used population-based designs, family-based designs have played an important role, particularly in replication stages. Family-based designs offer advantages in terms of quality control, the robustness to population stratification and the ability to perform genetic analyses that cannot be achieved using a sample of unrelated individuals, such as testing for the effect of imprinted genes on phenotypes, testing whether a genetic variant is inherited or de novo and combined linkage and association analysis.
Keyword Association
Family
Genome-wide association study
GWAS
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Queensland Brain Institute Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 28 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 31 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Fri, 17 Aug 2012, 19:44:08 EST by System User on behalf of Queensland Brain Institute