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非洲基因混合与女性静息代谢率及肥胖之间的关联

Association of African genetic admixture with resting metabolic rate and obesity among women.

作者信息

Fernández José R, Shriver Mark D, Beasley T Mark, Rafla-Demetrious Nashwa, Parra Esteban, Albu Jeanine, Nicklas Barbara, Ryan Alice S, McKeigue Paul M, Hoggart Clive L, Weinsier Roland L, Allison David B

机构信息

Department of Nutrition Sciences and the Clinical Nutrition Research Center, The University of Alabama at Birmingham, Birmingham, Alabama 35294, USA.

出版信息

Obes Res. 2003 Jul;11(7):904-11. doi: 10.1038/oby.2003.124.

Abstract

OBJECTIVE

To investigate the role of genetic admixture in explaining phenotypic variation in obesity-related traits in a sample of African-American women (n = 145) and to determine significant associations between obesity traits and admixture genetic markers.

RESEARCH METHODS AND PROCEDURES

Associations between genetic admixture and BMI, resting metabolic rate, fat mass, fat-free mass, and bone mineral density were tested using linear regression considering the estimation of admixture by 1) a maximum-likelihood approach (MLA) and 2) a Bayesian analysis.

RESULTS

Both the conservative MLA and the Bayesian approach support an association between African genetic admixture and BMI. Evidence for the associations of African genetic admixture with fat mass and fat-free mass was supported by the Bayesian analysis; the MLA supported an association with bone mineral density. When the individual ancestry informative markers that were used to estimate admixture were tested for associations with BMI, significant associations were identified in chromosomes 1, 11, and 12.

DISCUSSION

These results provide evidence supporting the application of admixture mapping methods to the identification of genes that result in higher levels of obesity among African-American women. Further research is needed to replicate and further explore these findings.

摘要

目的

在一组非裔美国女性样本(n = 145)中,研究基因混合在解释肥胖相关性状表型变异中的作用,并确定肥胖性状与混合基因标记之间的显著关联。

研究方法与步骤

使用线性回归,通过1)最大似然法(MLA)和2)贝叶斯分析对基因混合与体重指数(BMI)、静息代谢率、脂肪量、去脂体重和骨密度之间的关联进行测试,同时考虑混合比例的估计。

结果

保守的最大似然法和贝叶斯方法均支持非洲基因混合与BMI之间存在关联。贝叶斯分析支持非洲基因混合与脂肪量和去脂体重之间存在关联;最大似然法支持与骨密度存在关联。当对用于估计混合比例的个体祖先信息标记进行与BMI的关联测试时,在1号、11号和12号染色体上发现了显著关联。

讨论

这些结果为将混合定位方法应用于识别导致非裔美国女性肥胖水平较高的基因提供了证据支持。需要进一步研究来重复并进一步探索这些发现。

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