A Composite Likelihood Approach to Latent Multivariate Gaussian Modeling of SNP Data with Application to Genetic Association Testing

DOI10.1111/j.1541-0420.2011.01649.xzbMath1241.62154OpenAlexW2086736141WikidataQ33991906 ScholiaQ33991906MaRDI QIDQ2894023

Fang Han, Wei Pan

Publication date: 27 June 2012

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3218301

zbMATH Keywords

logistic regressionGWASgenome-wide association studymultivariate discrete distributionslatent modelmultimarker analysis

Mathematics Subject Classification ID

Estimation in multivariate analysis (62H12) Applications of statistics to biology and medical sciences; meta analysis (62P10) Biochemistry, molecular biology (92C40) Genetics and epigenetics (92D10)

Related Items

Parsimonious and powerful composite likelihood testing for group difference and genotype-phenotype association

Uses Software

• Haploview

Cites Work

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