Correcting for Population Stratification in Genomewide Association Studies

DOI10.1198/JASA.2011.TM10294zbMath1229.62148OpenAlexW2023588687WikidataQ35857407 ScholiaQ35857407MaRDI QIDQ3111192

Donglin Zeng, D. Y. Lin

Publication date: 18 January 2012

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1198/jasa.2011.tm10294

zbMATH Keywords

case-control studyprincipal components\(B\)-splinepropensity scoresingle nucleotide polymorphismsemiparametric logistic regression

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Genetics and epigenetics (92D10)

Related Items (2)

Nonparametric variable selection and classification: the CATCH algorithm ⋮ A practical approach to adjusting for population stratification in genome-wide association studies: principal components and propensity scores (PCAPS)

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