Identification of grouped rare and common variants via penalized logistic regression

Genetic Epidemiology

Volumn 37, Issue 6, 2013, Pages 592-602

  Ayers, Kristin L ^a   Cordell, Heather J ^a  

^a NEWCASTLE UNIVERSITY   (United Kingdom)

Author keywords

Association analysis; Elastic net; Lasso; Penalized likelihood; Rare variants

Indexed keywords

ARTICLE; DISEASE ASSOCIATION; GENE FREQUENCY; GENE IDENTIFICATION; GENETIC VARIABILITY; GENOTYPE; GENOTYPE PHENOTYPE CORRELATION; HUMAN; LOGISTIC REGRESSION ANALYSIS; PHENOTYPE; PHENOTYPIC VARIATION; PLANT GENETICS; QUANTITATIVE TRAIT;

ASSOCIATION ANALYSIS; ELASTIC NET; LASSO; PENALIZED LIKELIHOOD; RARE VARIANTS;

CASE-CONTROL STUDIES; COMPUTER SIMULATION; GENE FREQUENCY; GENETIC VARIATION; GENETICS, POPULATION; HUMANS; LOGISTIC MODELS; MODELS, GENETIC; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84881617310     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.21746     Document Type: Article

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