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ABSTRACT: Background
For the last decade the conceptual framework of the Genome-Wide Association Study (GWAS) has dominated the investigation of human disease and other complex traits. While GWAS have been successful in identifying a large number of variants associated with various phenotypes, the overall amount of heritability explained by these variants remains small. This raises the question of how best to follow up on a GWAS, localize causal variants accounting for GWAS hits, and as a consequence explain more of the so-called "missing" heritability. Advances in high throughput sequencing technologies now allow for the efficient and cost-effective collection of vast amounts of fine-scale genomic data to complement GWAS.Results
We investigate these issues using a colon cancer datas
SUBMITTER: Salomon MP
PROVIDER: S-EPMC4776370 | biostudies-literature | 2016 Mar
REPOSITORIES: biostudies-literature