Efficient Signal Inclusion With Genomic Applications.

TitleEfficient Signal Inclusion With Genomic Applications.
Publication TypeJournal Article
Year of Publication2019
AuthorsX Jeng, Jessie, Teng Zhang, and Jung-Ying Tzeng
JournalJ Am Stat Assoc
Date Published2019

This paper addresses the challenge of efficiently capturing a high proportion of true signals for subsequent data analyses when sample sizes are relatively limited with respect to data dimension. We propose the signal missing rate as a new measure for false negative control to account for the variability of false negative proportion. Novel data-adaptive procedures are developed to control signal missing rate without incurring many unnecessary false positives under dependence. We justify the efficiency and adaptivity of the proposed methods via theory and simulation. The proposed methods are applied to GWAS on human height to effectively remove irrelevant SNPs while retaining a high proportion of relevant SNPs for subsequent polygenic analysis.

Alternate JournalJ Am Stat Assoc
Original PublicationEfficient signal inclusion with genomic applications
PubMed ID31929665
PubMed Central IDPMC6953619
Grant ListP01 CA142538 / CA / NCI NIH HHS / United States
R03 HG008642 / HG / NHGRI NIH HHS / United States