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与非洲人体形分析相关联的遗传位点。

Genetic loci implicated in meta-analysis of body shape in Africans.

机构信息

The African Computational Genomics (TACG) Research Group, Medical Research Council/Uganda Virus Research Institute (MRC/UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Entebbe, Uganda.

The African Computational Genomics (TACG) Research Group, Medical Research Council/Uganda Virus Research Institute (MRC/UVRI) and London School of Hygiene and Tropical Medicine (LSHTM), Entebbe, Uganda; Sydney Brenner Institute for Molecular Bioscience, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.

出版信息

Nutr Metab Cardiovasc Dis. 2022 Jun;32(6):1511-1518. doi: 10.1016/j.numecd.2022.03.010. Epub 2022 Mar 26.

Abstract

BACKGROUND AND AIMS

Obesity is one of the leading causes of non-communicable diseases (NCD). Thus, NCD risk varies in obese individuals based on the location of their fat depots; while subcutaneous adiposity is protective, visceral adiposity increases NCD risk. Although, previously anthropometric traits have been used to quantify body shape in low-income settings, there is no consensus on how it should be assessed. Hence, there is a growing interest to evaluate body shape derived from the principal component analysis (PCA) of anthropometric traits; however, this is yet to be explored in individuals of African ancestry whose body shape is different from those of Europeans. We set out to capture body shape in its multidimensional structure and examine the association between genetic variants and body shape in individuals of African ancestry.

METHOD AND RESULTS

We performed a genome-wide association study (GWAS) for body shape derived from PCA analysis of anthropometric traits in the Ugandan General Population Cohort (GPC, n = 6407) and the South African Zulu Cohort (SZC, n = 2595), followed by a GWAS meta-analysis to assess the genetic variants associated with body shape. We identified variants in FGF12, GRM8, TLX1NB and TRAP1 to be associated with body shape. These genes were different from the genes been associated with BMI, height, weight, WC and waist-hip ration in continental Africans. Notably, we also observed that a standard deviation change in body shape was associated with an increase in blood pressure and blood lipids.

CONCLUSION

Variants associated with body shape, as a composite variable might be different for those of individual anthropometric traits. Larger studies are required to further explore these phenomena.

摘要

背景与目的

肥胖是导致非传染性疾病(NCD)的主要原因之一。因此,肥胖个体的 NCD 风险因脂肪沉积部位而异;虽然皮下脂肪具有保护作用,但内脏脂肪会增加 NCD 风险。尽管以前的人体测量特征已被用于量化低收入人群的体型,但对于如何评估体型仍没有共识。因此,人们越来越有兴趣评估源自人体测量特征主成分分析(PCA)的体型;然而,这在非洲裔个体中尚未得到探索,因为他们的体型与欧洲人不同。我们着手从多维结构中捕捉体型,并研究遗传变异与非洲裔个体体型之间的关联。

方法和结果

我们对乌干达普通人群队列(GPC,n=6407)和南非祖鲁人群队列(SZC,n=2595)中的人体测量特征 PCA 分析得出的体型进行了全基因组关联研究(GWAS),随后进行了 GWAS 荟萃分析,以评估与体型相关的遗传变异。我们确定了 FGF12、GRM8、TLX1NB 和 TRAP1 中的变异与体型相关。这些基因与非洲大陆人群中与 BMI、身高、体重、WC 和腰臀比相关的基因不同。值得注意的是,我们还观察到,体型标准偏差的变化与血压和血脂的升高有关。

结论

作为一个综合变量,与体型相关的变异可能与个体人体测量特征的变异不同。需要进行更大规模的研究来进一步探索这些现象。

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