A Whole Genome Linkage Scan Identifies Multiple Chromosomal Regions Influencing Adiposity-Related Traits among Samoans

被引：25

作者：

Dai, F. ^{[2
]}

Sun, G. ^{[3
]}

Aberg, K. ^{[4
]}

Keighley, E. D. ^{[1
]}

Indugula, S. R. ^{[3
]}

Roberts, S. T. ^{[1
]}

Smelser, D. ^{[3
]}

Viali, S.

Jin, L. ^{[3
]}

Deka, R. ^{[3
]}

Weeks, D. E. ^{[2
,4
]}

McGarvey, S. T. ^{[1
]}

机构：

[1] Brown Univ, Int Hlth Inst, Providence, RI 02912 USA

[2] Univ Pittsburgh, Grad Sch Publ Hlth, Dept Biostat, Pittsburgh, PA 15261 USA

[3] Univ Cincinnati, Dept Environm Hlth, Ctr Genome Informat, Cincinnati, OH USA

[4] Univ Pittsburgh, Grad Sch Publ Hlth, Dept Human Genet, Pittsburgh, PA 15261 USA

来源：

ANNALS OF HUMAN GENETICS | 2008年 / 72卷

基金：

瑞典研究理事会;

关键词：

adiposity; linkage analysis; variance components; Samoa;

D O I：

10.1111/j.1469-1809.2008.00462.x

中图分类号：

Q3 [遗传学];

学科分类号：

071007 ; 090102 ;

摘要：

We conducted a genome-wide scan in 46 pedigrees, with 671 phenotyped adults, from the independent nation of Samoa to map quantitative trait loci (QTLs) for adiposity-related phenotypes, including body mass index (BMI), abdominal circumference (ABDCIR), percent body fat (%BFAT), and fasting serum leptin and adiponectin. A set of 378 autosomal and 14 X chromosomal microsatellite markers were genotyped in 572 of the adults. Significant genetic correlations (0.82-0.96) were detected between pairs of BMI, ABDCIR, %BFAT and leptin. Suggestive linkages were found on 13q31 (LOD = 2.30 for leptin, LOD = 2.48 for %BFAT, LOD = 2.04 for ABDCIR, and LOD = 2.09 for BMI) and on 9p22 (LOD = 3.08 for ABDCIR and LOD = 2.53 for %BFAT). Furthermore, bivariate linkage analyses indicated that the genetic regions on 9p22 (bivariate LOD 2.35-3.10, LODeq (1df) 1.88-2.59) and 13q31 (bivariate LOD 1.96-2.64, LODeq 1.52-2.21) might harbor common major genes with pleiotropic effects. Other regions showing suggestive linkage included 4q22 (LOD = 2.95) and 7p14 (LOD = 2.64) for %BFAT, 2q13 for adiponectin (LOD = 2.05) and 19q12 for BMI-adjusted leptin (LOD = 2.03). Further fine mapping of these regions may help identify the genetic variants contributing to the development of obesity in Samoan adults.

引用

页码：780 / 792

页数：13

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