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Kidney disease progression and collider bias in GWAS.
Khan, Atlas; Kiryluk, Krzysztof.
  • Khan A; Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA.
  • Kiryluk K; Division of Nephrology, Department of Medicine, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York, USA. Electronic address: kk473@columbia.edu.
Kidney Int ; 102(3): 476-478, 2022 09.
Article en En | MEDLINE | ID: mdl-35988936
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.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Estudio de Asociación del Genoma Completo / Enfermedades Renales Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Estudio de Asociación del Genoma Completo / Enfermedades Renales Tipo de estudio: Prognostic_studies / Systematic_reviews Límite: Humans Idioma: En Año: 2022 Tipo del documento: Article