Literature DB >> 20725740

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

Y-F Chiu1, 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.   

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 × 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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Year:  2010        PMID: 20725740      PMCID: PMC4446122          DOI: 10.1007/s00439-010-0877-5

Source DB:  PubMed          Journal:  Hum Genet        ISSN: 0340-6717            Impact factor:   4.132


  53 in total

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2.  An autosomal genomic scan for loci linked to plasma leptin concentration in Pima Indians.

Authors:  K Walder; R L Hanson; S Kobes; W C Knowler; E Ravussin
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3.  Comparison of multivariate tests for genetic linkage.

Authors:  C Amos; M de Andrade; D Zhu
Journal:  Hum Hered       Date:  2001       Impact factor: 0.444

4.  Genome-wide scan of obesity in the Old Order Amish.

Authors:  W C Hsueh; B D Mitchell; J L Schneider; P L St Jean; T I Pollin; M G Ehm; M J Wagner; D K Burns; H Sakul; C J Bell; A R Shuldiner
Journal:  J Clin Endocrinol Metab       Date:  2001-03       Impact factor: 5.958

5.  Bias in multipoint linkage analysis arising from map misspecification.

Authors:  E W Daw; E A Thompson; E M Wijsman
Journal:  Genet Epidemiol       Date:  2000-12       Impact factor: 2.135

6.  Resemblance for body mass index in families of obese African American and European American women.

Authors:  R A Price; D R Reed; N J Guido
Journal:  Obes Res       Date:  2000-08

7.  Risk ratios for obesity in families of obese African-American and Caucasian women.

Authors:  R A Price; J H Lee
Journal:  Hum Hered       Date:  2001       Impact factor: 0.444

8.  Sequence variants in the 5' flanking region of the leptin gene are associated with obesity in women.

Authors:  W D Li; D R Reed; J H Lee; W Xu; R L Kilker; B R Sodam; R A Price
Journal:  Ann Hum Genet       Date:  1999-05       Impact factor: 1.670

9.  Association and linkage between an insulin-like growth factor-1 gene polymorphism and fat free mass in the HERITAGE Family Study.

Authors:  G Sun; J Gagnon; Y C Chagnon; L Pérusse; J P Després; A S Leon; J H Wilmore; J S Skinner; I Borecki; D C Rao; C Bouchard
Journal:  Int J Obes Relat Metab Disord       Date:  1999-09

10.  A common promoter variant of the leptin gene is associated with changes in the relationship between serum leptin and fat mass in obese girls.

Authors:  C Le Stunff; C Le Bihan; N J Schork; P Bougnères
Journal:  Diabetes       Date:  2000-12       Impact factor: 9.461

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  7 in total

1.  The prevalence and independent influencing factors of obesity and underweight in patients with schizophrenia: a multicentre cross-sectional study.

Authors:  Juan Wang; Yulong Zhang; Yating Yang; Zhiwei Liu; Lei Xia; Wenzheng Li; Zhongxiang Li; Xinhui Xie; Wenfeng Deng; Kai Zhang; Huanzhong Liu
Journal:  Eat Weight Disord       Date:  2020-06-17       Impact factor: 4.652

2.  Development and evaluation of a genetic risk score for obesity.

Authors:  Daniel W Belsky; Terrie E Moffitt; Karen Sugden; Benjamin Williams; Renate Houts; Jeanette McCarthy; Avshalom Caspi
Journal:  Biodemography Soc Biol       Date:  2013

3.  Genome wide association study: searching for genes underlying body mass index in the Chinese.

Authors:  Fang Yang; Xiang Ding Chen; Li Jun Tan; Jie Shen; Ding You Li; Fang Zhang; Bao Yong Sha; Hong Wen Deng
Journal:  Biomed Environ Sci       Date:  2014-05       Impact factor: 3.118

4.  Genetic Mechanisms Leading to Sex Differences Across Common Diseases and Anthropometric Traits.

Authors:  Michela Traglia; Dina Bseiso; Alexander Gusev; Brigid Adviento; Daniel S Park; Joel A Mefford; Noah Zaitlen; Lauren A Weiss
Journal:  Genetics       Date:  2016-12-14       Impact factor: 4.562

5.  Sex-specific regulation of mitochondrial DNA levels: genome-wide linkage analysis to identify quantitative trait loci.

Authors:  Sonia López; Alfonso Buil; Juan Carlos Souto; Jordi Casademont; John Blangero; Angel Martinez-Perez; Jordi Fontcuberta; Mark Lathrop; Laura Almasy; Jose Manuel Soria
Journal:  PLoS One       Date:  2012-08-20       Impact factor: 3.240

6.  Genome-wide linkage and regional association study of obesity-related phenotypes: the GenSalt study.

Authors:  Angela Y Liu; Dongfeng Gu; James E Hixson; Dabeeru C Rao; Lawrence C Shimmin; Cashell E Jaquish; De-Pei Liu; Jiang He; Tanika N Kelly
Journal:  Obesity (Silver Spring)       Date:  2013-07-02       Impact factor: 5.002

7.  Computer Game Use and Television Viewing Increased Risk for Overweight among Low Activity Girls: Fourth Thai National Health Examination Survey 2008-2009.

Authors:  Ladda Mo-Suwan; Jiraluck Nontarak; Wichai Aekplakorn; Warapone Satheannoppakao
Journal:  Int J Pediatr       Date:  2014-06-05
  7 in total

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