A regularized regression approach for dissecting genetic conflicts that increase disease risk in pregnancy

Statistical Applications in Genetics and Molecular Biology

Volumn 8, Issue 1, 2009, Pages

  Li, Shaoyu ^a   Lu, Qing ^a   Fu, Wenjiang ^a   Romero, Roberto ^b   Cui, Yuehua ^a  

^a MICHIGAN STATE UNIVERSITY   (United States)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

Complex disease; Genetic conflicts; Genomic imprinting; Maternal fetal genotype incompatibility; Penalized mixture logistic regression

Indexed keywords

ARTICLE; GENE; GENE FREQUENCY; GENETIC MODEL; GENOTYPE; INFORMATION PROCESSING; LOGISTIC REGRESSION ANALYSIS; MAXIMUM LIKELIHOOD METHOD; MOTHER FETUS RELATIONSHIP; PREGNANCY; RISK; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; BIOLOGICAL MODEL; FAMILY HEALTH; FEMALE; GENETIC PREDISPOSITION; GENETICS; HUMAN; PREGNANCY COMPLICATION; STATISTICAL MODEL;

FAMILY HEALTH; FEMALE; GENETIC PREDISPOSITION TO DISEASE; HUMANS; LOGISTIC MODELS; MODELS, GENETIC; PREGNANCY; PREGNANCY COMPLICATIONS; RISK;

EID: 73849087272     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.2202/1544-6115.1474     Document Type: Article

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