Sex-specific genetic architecture of human fatness in Chinese: the SAPPHIRe Study

被引:0
|
作者
Y.-F. Chiu
L.-M. Chuang
H.-Y. Kao
K.-C. Shih
M.-W. Lin
W.-J. Lee
T. Quertermous
J. D. Curb
I. Chen
B. L. Rodriguez
C. A. Hsiung
机构
[1] National Health Research Institutes,Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences
[2] National Taiwan University Hospital,Department of Internal Medicine
[3] National Taiwan University,Graduate Institute of Clinical Medicine
[4] Tri-Service General Hospital,Division of Endocrinology and Metabolism
[5] National Defense Medical Center,Institute of Public Health
[6] National Yang-Ming University,Department of Medical Research and Education
[7] Taipei Veterans General Hospital,Department of the Education and Research
[8] Taichung Veterans General Hospital,Division of Cardiovascular Medicine, Falk Cardiovascular Research Center
[9] Stanford University,undefined
[10] Pacific Health Research Institute,undefined
[11] Cedars-Sinai Medical Center,undefined
来源
Human Genetics | 2010年 / 128卷
关键词
Quantitative Trait Locus; Linkage Analysis; Variance Component Method; Trait Pair; Univariate Linkage Analysis;
D O I
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中图分类号
学科分类号
摘要
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 × 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.
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页码:501 / 513
页数:12
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