國家衛生研究院 NHRI:Item 3990099045/5002
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    Please use this identifier to cite or link to this item: http://ir.nhri.org.tw/handle/3990099045/5002


    Title: Sex-specific genetic architecture of human fatness in Chinese: the SAPPHIRe study
    Authors: Chiu, YF;Chuang, LM;Kao, HY;Shih, KC;Lin, MW;Lee, WJ;Quertermous, T;Curb, JD;Chen, I;Rodriguez, BL;Hsiung, CA
    Contributors: Division of Biostatistics and Bioinformatics
    Abstract: To dissect the genetic architecture of sexual dimorphism in obesity-related traits, we evaluated the sex-genotype interaction, sex-specific heritability and genome-wide linkages for seven measurements related to obesity. A total of 1,365 non-diabetic Chinese subjects from the family study of the Stanford Asia-Pacific Program of Hypertension and Insulin Resistance were used to search for quantitative trait loci (QTLs) responsible for the obesity-related traits. Pleiotropy and co-incidence effects from the QTLs were also examined using the bivariate linkage approach. We found that sex-specific differences in heritability and the genotype-sex interaction effects were substantially significant for most of these traits. Several QTLs with strong linkage evidence were identified after incorporating genotype by sex (G x S) interactions into the linkage mapping, including one QTL for hip circumference [maximum LOD score (MLS) = 4.22, empirical p = 0.000033] and two QTLs: for BMI on chromosome 12q with MLS 3.37 (empirical p = 0.0043) and 3.10 (empirical p = 0.0054). Sex-specific analyses demonstrated that these linkage signals all resulted from females rather than males. Most of these QTLs for obesity-related traits replicated the findings in other ethnic groups. Bivariate linkage analyses showed several obesity traits were influenced by a common set of QTLs. All regions with linkage signals were observed in one gender, but not in the whole sample, suggesting the genetic architecture of obesity-related traits does differ by gender. These findings are useful for further identification of the liability genes for these phenotypes through candidate genes or genome-wide association analysis.
    Date: 2010-12
    Relation: Human Genetics. 2010 Dec;128(5):501-513.
    Link to: http://dx.doi.org/10.1007/s00439-010-0877-5
    JIF/Ranking 2023: http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=NHRI&SrcApp=NHRI_IR&KeyISSN=0340-6717&DestApp=IC2JCR
    Cited Times(WOS): https://www.webofscience.com/wos/woscc/full-record/WOS:000283094100004
    Cited Times(Scopus): http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=78049441712
    Appears in Collections:[Yen-Feng Chiu] Periodical Articles
    [Chao A. Hsiung] Periodical Articles

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