Integrated statistical and pathway approach to next-generation sequencing analysis: a family-based study of hypertension.

ABSTRACT: Genome wide association studies (GWAS) have been used to search for associations between genetic variants and a phenotypic trait of interest. New technologies, such as next-generation sequencing, hold the potential to revolutionize GWAS. However, millions of polymorphisms are identified with next-generation sequencing technology. Consequently, researchers must be careful when performing such a large number of statistical tests, and corrections are typically made to account for multiple testing. Additionally, for typical GWAS, the p value cutoff is set quite low (approximately <10(-8)). As a result of this p value stringency, it is likely that there are many true associations that do not meet this threshold. To account for this we have incorporated a priori biological knowledge to help iden

SUBMITTER: Edwards JS 

PROVIDER: S-EPMC4143684 | biostudies-literature | 2014

REPOSITORIES: biostudies-literature