Replicability and Prediction: Lessons and Challenges from GWAS.

Replicability and Prediction: Lessons and Challenges from GWAS.
Trends Genet. 2018 Apr 28;:
Authors: Marigorta UM, Rodríguez JA, Gibson G, Navarro A
Abstract
Since the publication of the Wellcome Trust Case Control Consortium (WTCCC) landmark study a decade ago, genome-wide association studies (GWAS) have led to the discovery of thousands of risk variants involved in disease etiology. This success story has two angles that are often overlooked. First, GWAS findings are highly replicable. This is an unprecedented phenomenon in complex trait genetics, and indeed in many areas of science, which in past decades have been plagued by false positives. At a time of increasing concerns about the lack of reproducibility, we examine the biological and methodological reasons that account for the replicability of GWAS and identify the challenges ahead. In contrast to the exemplary success of disease gene discovery, at present GWAS findings are not useful for predicting phenotypes. We close with an overview of the prospects for individualized prediction of disease risk and its foreseeable impact in clinical practice.
PMID: 29716745 [PubMed - as supplied by publisher]

Source: Trends in Genetics : TIG - April 28, 2018 Category: Genetics & Stem Cells Authors: Marigorta UM, Rodríguez JA, Gibson G, Navarro A Tags: Trends Genet Source Type: research