Zhengdong D. Zhang

TL;DR: The integrated approach that combines the rare variant association test with gene network and phenotype information to identify risk genes implicated by rare variants for human complex diseases follows a 'discovery-driven' strategy without relying on prior knowledge about the disease and thus maintains the unbiased character of genome-wide association studies.

TL;DR: The results show that multi-omic analysis of small, highly specific cells is feasible and yields unique physiologic loci distinguishing human lung cell types in situ.

TL;DR: In this paper, the authors performed a comprehensive 3-stage study to identify functional longevity-associated variants in ~700 candidate genes in up to 450 centenarians and 500 controls by target capture sequencing analysis.

TL;DR: PGA, a Perl- and Java-based program for post-GWAS analysis that predicts likely disease genes given a list of GWAS-reported variants, designed with a command line interface.

TL;DR: The ability to compensate the slow growth rate of the knockout strain is used in conjunction with sequencing to rapidly identify variant 5S rRNAs that are functional as well as those that likely are not.