Kidney disease progression and collider bias in GWAS

Atlas Khan; Krzysztof Kiryluk

doi:10.1016/j.kint.2022.06.018

Kidney disease progression and collider bias in GWAS

Kidney Int. 2022 Sep;102(3):476-478. doi: 10.1016/j.kint.2022.06.018.

Authors

Atlas Khan¹, Krzysztof Kiryluk²

Affiliations

¹ Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
² Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA. Electronic address: [email protected].

PMID: 35988936
DOI: 10.1016/j.kint.2022.06.018

Abstract

New genome-wide meta-analysis for longitudinal kidney function decline identified several genetic loci related to kidney disease progression. The study illustrated the complexity of modeling longitudinal traits in genome-wide association studies and highlighted the issue of a collider bias that can be introduced when a kidney disease progression phenotype is adjusted for baseline kidney function. Herein, we briefly outline the key findings of this study, their limitations, and implications for future studies.

Publication types

Meta-Analysis
Research Support, N.I.H., Extramural
Comment

MeSH terms

Disease Progression
Genetic Loci
Genome-Wide Association Study*
Humans
Kidney
Kidney Diseases* / genetics
Phenotype
Polymorphism, Single Nucleotide