Beaumont Robin N, Horikoshi Momoko, McCarthy Mark I, Freathy Rachel M
Institute of Biomedical and Clinical Science, University of Exeter Medical School, University of Exeter, RILD Building, Royal Devon and Exeter Hospital, Barrack Road, Exeter, EX2 5DW, UK.
Wellcome Trust Centre for Human Genetics, University of Oxford, Roosevelt Dr., Oxford, OX3 7BN, UK.
Curr Diab Rep. 2017 Apr;17(4):22. doi: 10.1007/s11892-017-0852-9.
In observational epidemiology, both low and high birth weights are associated with later type 2 diabetes. The mechanisms underlying the associations are poorly understood. We review evidence for the roles of genetic and non-genetic factors linking both sides of the birth weight distribution to risk of type 2 diabetes, focusing on contributions made by the most recent genome-wide association studies (GWAS) of birth weight.
There are now nine genetic loci robustly implicated in both fetal growth and type 2 diabetes. At many of these, the same alleles are associated both with a higher risk of type 2 diabetes and a lower birth weight. This supports the Fetal Insulin Hypothesis and reflects a general pattern for type 2 diabetes susceptibility alleles: genome-wide, there is an inverse genetic correlation with birth weight, and initial estimates suggest genetic factors explain a large part of the covariance between the two traits. However, the associations at individual loci show heterogeneity; some fetal risk alleles are associated with higher birth weight. For most of these, the association reflects their correlation with the maternal risk allele which raises maternal glucose, thus increasing fetal insulin-mediated growth. GWAS have improved our understanding of the mechanisms underlying associations between type 2 diabetes and birth weight but questions remain about the relative importance of genetic versus non-genetic factors and of maternal versus fetal genotypes. To answer these questions, future work will require well-powered analyses of parents and offspring.
在观察性流行病学中,低出生体重和高出生体重均与后期2型糖尿病相关。这些关联背后的机制尚不清楚。我们综述了将出生体重分布两端与2型糖尿病风险联系起来的遗传和非遗传因素作用的证据,重点关注最近出生体重全基因组关联研究(GWAS)所做的贡献。
现在有9个基因位点与胎儿生长和2型糖尿病均密切相关。在其中许多位点,相同的等位基因既与2型糖尿病的较高风险相关,又与较低的出生体重相关。这支持了胎儿胰岛素假说,并反映了2型糖尿病易感等位基因的一般模式:在全基因组范围内,与出生体重呈负遗传相关性,初步估计表明遗传因素解释了这两个性状之间协方差的很大一部分。然而,个别位点的关联存在异质性;一些胎儿风险等位基因与较高的出生体重相关。对于其中大多数情况,这种关联反映了它们与母亲风险等位基因的相关性,母亲风险等位基因会升高母亲的血糖,从而增加胎儿胰岛素介导的生长。GWAS增进了我们对2型糖尿病与出生体重之间关联机制的理解,但关于遗传因素与非遗传因素以及母亲基因型与胎儿基因型的相对重要性仍存在疑问。为了回答这些问题,未来的研究需要对父母和后代进行有足够效力的分析。