A statistical design for testing transgenerational genomic imprinting in natural human populations

PLoS ONE

Volumn 6, Issue 2, 2011, Pages

  Li, Yao ^a,b   Guo, Yunqian ^a   Wang, Jianxin ^a   Hou, Wei ^c   Chang, Myron N ^c   Liao, Duanping ^d   Wu, Rongling ^a,d  

^a BEIJING FORESTRY UNIVERSITY   (China)

^b WEST VIRGINIA UNIVERSITY   (United States)

^c UNIVERSITY OF FLORIDA   (United States)

^d PENN STATE COLLEGE OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CYTOGENETICS; GENE ACTIVITY; GENE IDENTIFICATION; GENE SEGREGATION; GENE TRANSFER; GENETIC ALGORITHM; GENETIC ASSOCIATION; GENETIC DISORDER; GENETIC EPIGENESIS; GENETIC MODEL; GENOME IMPRINTING; HUMAN GENETICS; HUMAN GENOME; MATHEMATICAL COMPUTING; NATURAL POPULATION; NUCLEAR FAMILY; QUANTITATIVE TRAIT LOCUS; STATISTICAL ANALYSIS; ALGORITHM; COMPUTER SIMULATION; EPIDEMIOLOGY; FAMILY SIZE; FEMALE; GENE FREQUENCY; GENE LINKAGE DISEQUILIBRIUM; GENETICS; HUMAN; MALE; METHODOLOGY; PHYSIOLOGY; POPULATION GENETICS; STATISTICAL MODEL; STATISTICS; VALIDATION STUDY;

ALGORITHMS; COMPUTER SIMULATION; EPIDEMIOLOGIC RESEARCH DESIGN; FAMILY CHARACTERISTICS; FEMALE; GENE FREQUENCY; GENETICS, POPULATION; GENOME-WIDE ASSOCIATION STUDY; GENOMIC IMPRINTING; HUMANS; LIKELIHOOD FUNCTIONS; LINKAGE DISEQUILIBRIUM; MALE; MODELS, STATISTICAL;

EID: 79952178748     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0016858     Document Type: Article

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