Ordered multinomial regression for genetic association analysis of ordinal phenotypes at Biobank scale

Logistic regression is the primary analysis tool for binary traits in genome‐wide association studies (GWAS). Multinomial regression extends logistic regression to multiple categories. However, many phenotypes more naturally take ordered, discrete values. Examples include (a) subtypes defined from m...

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Veröffentlicht in:	Genetic epidemiology 2020-04, Vol.44 (3), p.248-260
Hauptverfasser:	German, Christopher A., Sinsheimer, Janet S., Klimentidis, Yann C., Zhou, Hua, Zhou, Jin J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Association analysis Biobanks Biological Specimen Banks Case-Control Studies Computer Simulation electronic health record Electronic health records Electronic medical records Genetic analysis Genome-wide association studies Genome-Wide Association Study Genomes Humans Hypertension - genetics Models, Genetic ordered multinomial regression Phenotype Phenotypes Phenotyping Polymorphism, Single Nucleotide - genetics Pulmonary Disease, Chronic Obstructive - genetics Pulmonary Disease, Chronic Obstructive - physiopathology Regression Analysis Respiratory Function Tests Statistical analysis
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