A powerful approach to sub-phenotype analysis in population-based genetic association studies.

Journal article

The ultimate goal of genome-wide association (GWA) studies is to identify genetic variants contributing effects to complex phenotypes in order to improve our understanding of the biological architecture underlying the trait. One approach to allow us to meet this challenge is to consider more refined sub-phenotypes of disease, defined by pattern of symptoms, for example, which may be physiologically distinct, and thus may have different underlying genetic causes. The disadvantage of sub-phenot...

Expand abstract

Authors: Morris, A; Lindgren, C; Zeggini, E; Timpson, N; Frayling, T

• Publication status: Published
• Journal: Genetic epidemiology
• Volume: 34
• Issue: 4
• Pages: 335-343
• Publication date: 2010-05-01
• DOI: 10.1002/gepi.20486
• EISSN: 1098-2272
• ISSN: 0741-0395
• Language: English
• Keywords: Computer Simulation; Phenotype; Genetic Association Studies; Models, Genetic; Genetic Variation; Gene Frequency; Models, Statistical; Heterozygote; Humans; Obesity; Diabetes Mellitus, Type 2; Genome-Wide Association Study; Odds Ratio; Regression Analysis; Chromosomes