To identify associations with rare variants, just WHaIT: Weighted haplotype and imputation-based tests.

ABSTRACT: Empirical evidences suggest that both common and rare variants contribute to complex disease etiology. Although the effects of common variants have been thoroughly assessed in recent genome-wide association studies (GWAS), our knowledge of the impact of rare variants on complex diseases remains limited. A number of methods have been proposed to test for rare variant association in sequencing-based studies, a study design that is becoming popular but is still not economically feasible. On the contrary, few (if any) methods exist to detect rare variants in GWAS data, the data we have collected on thousands of individuals. Here we propose two methods, a weighted haplotype-based approach and an imputation-based approach, to test for the effect of rare variants with GWAS data. Both methods can

SUBMITTER: Li Y 

PROVIDER: S-EPMC2978961 | biostudies-literature | 2010 Nov

REPOSITORIES: biostudies-literature