Adjusting for principal components can induce collider bias in genome-wide association studies

Principal component analysis (PCA) is widely used to control for population structure in genome-wide association studies (GWAS). Top principal components (PCs) typically reflect population structure, but challenges arise in deciding how many PCs are needed and ensuring that PCs do not capture other...

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Veröffentlicht in:	PLoS genetics Jg. 20; H. 12; S. e1011242
Hauptverfasser:	Grinde, Kelsey E., Browning, Brian L., Reiner, Alexander P., Thornton, Timothy A., Browning, Sharon R.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 16.12.2024 Public Library of Science (PLoS)
Schlagworte:	Bias Bias (Statistics) Biology and Life Sciences Black or African American - genetics Chronic obstructive pulmonary disease Data collection Epidemiology Female Genetic diversity Genetic research Genome, Human Genome-wide association studies Genome-Wide Association Study - methods Genomes Genomics Genotype & phenotype Heart Humans Linkage Disequilibrium Lung diseases Methods People and places Physical Sciences Polymorphism, Single Nucleotide Population structure Population studies Precision medicine Principal Component Analysis Principal components analysis Pruning Pulmonary Disease, Chronic Obstructive - genetics Research and Analysis Methods Scholarships & fellowships Single-nucleotide polymorphism Software packages Whole genome sequencing United States
ISSN:	1553-7404, 1553-7390, 1553-7404
Online-Zugang:	Volltext
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