4.5 Article

Practical aspects of imputation-driven meta-analysis of genome-wide association studies

Journal

HUMAN MOLECULAR GENETICS
Volume 17, Issue -, Pages R122-R128

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/hmg/ddn288

Keywords

-

Funding

  1. NIH [AR007530-23, KAR055688A]

Ask authors/readers for more resources

Motivated by the overwhelming success of genome-wide association studies, droves of researchers are working vigorously to exchange and to combine genetic data to expediently discover genetic risk factors for common human traits. The primary tools that fuel these new efforts are imputation, allowing researchers who have collected data on a diversity of genotype platforms to share data in a uniformly exchangeable format, and meta-analysis for pooling statistical support for a genotype-phenotype association. As many groups are forming collaborations to engage in these efforts, this review collects a series of guidelines, practical detail and learned experiences from a variety of individuals who have contributed to the subject.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available