RT Journal Article
SR Electronic
T1 The PPLD has advantages over conventional regression methods in application to moderately sized genome-wide association studies
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 2021.05.03.442456
DO 10.1101/2021.05.03.442456
A1 Veronica J. Vieland
A1 Sang-Cheol Seok
YR 2021
UL http://biorxiv.org/content/early/2021/05/03/2021.05.03.442456.abstract
AB In earlier work, we have developed and evaluated an alternative approach to the analysis of GWAS data, based on a statistic called the PPLD. More recently, motivated by a GWAS for genetic modifiers of the X-linked Mendelian disorder Duchenne Muscular Dystrophy (DMD), we adapted the PPLD for application to time-to-event (TE) phenotypes. Because DMD itself is relatively rare, this is a setting in which the very large sample sizes generally assembled for GWAS are simply not attainable. For this reason, statistical methods specially adapted for use in small data sets are required. Here we explore the behavior of the TE-PPLD via simulations, comparing the TE-PPLD with Cox Proportional Hazards analysis in the context of small to moderate sample sizes. Our results will help to inform our approach to the DMD study going forward, and they illustrate several respects in which the TE-PPLD, and by extension the original PPLD, offer advantages over regression-based approaches to GWAS in this context.Competing Interest StatementThe authors have declared no competing interest.