A latent variable partial least squares path modeling approach to regional association and polygenic effect with applications to a human obesity study

PLoS ONE

Volumn 7, Issue 2, 2012, Pages

  Xue, Fuzhong ^a,b   Li, Shengxu ^c   Luan, Jian'an ^b   Yuan, Zhongshang ^a   Luben, Robert N ^d   Khaw, Kay Tee ^e   Wareham, Nicholas J ^b   Loos, Ruth J F ^b   Zhao, Jing Hua ^b  

^a SHANDONG UNIVERSITY   (China)

^b INSTITUTE OF METABOLIC SCIENCE   (United Kingdom)

^c TULANE UNIVERSITY   (United States)

^d UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^e UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANTHROPOMETRIC PARAMETERS; ARTICLE; BODY MASS; COMPUTER SIMULATION; CONTROLLED STUDY; GENETIC CORRELATION; HIP CIRCUMFERENCE; INTRON; MATHEMATICAL MODEL; OBESITY; PARTIAL LEAST SQUARES REGRESSION; PERFORMANCE MEASUREMENT SYSTEM; PHENOTYPE; QUANTITATIVE STUDY; SAMPLE SIZE; SINGLE NUCLEOTIDE POLYMORPHISM; WAIST CIRCUMFERENCE; ALLELE; ANTHROPOMETRY; COHORT ANALYSIS; DNA MICROARRAY; EUROPE; FEMALE; GENETIC ASSOCIATION; GENETICS; GENOTYPE; HUMAN; MALE; METABOLISM; NEOPLASM; REGRESSION ANALYSIS; STATISTICAL MODEL;

ALLELES; ANTHROPOMETRY; BODY MASS INDEX; COHORT STUDIES; COMPUTER SIMULATION; EUROPE; FEMALE; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HUMANS; LEAST-SQUARES ANALYSIS; MALE; MODELS, STATISTICAL; NEOPLASMS; OBESITY; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84863249718     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0031927     Document Type: Article

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