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基因证据能帮助我们理解2型糖尿病的胎儿起源吗?

Can genetic evidence help us to understand the fetal origins of type 2 diabetes?

作者信息

Freathy Rachel M

机构信息

Institute of Biomedical and Clinical Science, University of Exeter Medical School, The Research, Innovation, Learning and Development (RILD) building, Royal Devon and Exeter Hospital, Barrack Road, Exeter, EX2 5DW, UK.

Medical Research Council Integrative Epidemiology Unit at the University of Bristol, Bristol, UK.

出版信息

Diabetologia. 2016 Sep;59(9):1850-4. doi: 10.1007/s00125-016-4057-6. Epub 2016 Jul 19.

DOI:10.1007/s00125-016-4057-6
PMID:27435863
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4973887/
Abstract

Lower birthweight is consistently associated with a higher risk of type 2 diabetes in observational studies, but the mechanisms underlying this association are not fully understood. Animal models and studies of famine-exposed populations have provided support for the developmental origins hypothesis, under which exposure to poor intrauterine nutrition results in reduced fetal growth and also contributes to the developmental programming of later type 2 diabetes risk. However, testing this hypothesis is difficult in human studies and studies aiming to do so are mostly observational and have limited scope for causal inference due to the presence of confounding factors. In this issue of Diabetologia, Wang et al (doi: 10.1007/s00125-016-4019-z ) have used genetic variation associated with birthweight in a Mendelian randomisation analysis to assess evidence of a causal link between fetal growth and type 2 diabetes. Mendelian randomisation offers the potential to examine associations between exposures and outcomes in the absence of factors that would normally confound observational studies. This commentary discusses the results of the Mendelian randomisation study carried out by Wang et al, in relation to the study design and its limitations. Challenges and opportunities for future studies are also outlined.

摘要

在观察性研究中,低出生体重一直与2型糖尿病的较高风险相关,但这种关联背后的机制尚未完全明确。动物模型以及对经历过饥荒人群的研究为发育起源假说提供了支持,该假说认为,子宫内营养状况不佳会导致胎儿生长受限,还会促使后期患2型糖尿病风险的发育编程。然而,在人体研究中验证这一假说存在困难,并且由于存在混杂因素,旨在进行此类验证的研究大多为观察性研究,因果推断的范围有限。在本期《糖尿病学》杂志中,Wang等人(doi: 10.1007/s00125-016-4019-z)在一项孟德尔随机化分析中利用与出生体重相关的基因变异,来评估胎儿生长与2型糖尿病之间因果关系的证据。孟德尔随机化有可能在不存在通常会混淆观察性研究的因素的情况下,检验暴露因素与结局之间的关联。本述评讨论了Wang等人开展的孟德尔随机化研究结果,涉及研究设计及其局限性。同时也概述了未来研究面临的挑战和机遇。

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Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight.对新生儿的全基因组关联研究进行荟萃分析显示,与出生体重相关的广泛差异 DNA 甲基化。
Nat Commun. 2019 Apr 23;10(1):1893. doi: 10.1038/s41467-019-09671-3.
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本文引用的文献

1
Low birthweight and risk of type 2 diabetes: a Mendelian randomisation study.低出生体重与2型糖尿病风险:一项孟德尔随机化研究
Diabetologia. 2016 Sep;59(9):1920-7. doi: 10.1007/s00125-016-4019-z. Epub 2016 Jun 23.
2
Mendelian Randomization using Public Data from Genetic Consortia.利用基因联盟的公共数据进行孟德尔随机化分析。
Int J Biostat. 2016 Nov 1;12(2). doi: 10.1515/ijb-2015-0074.
3
Genetic Evidence for Causal Relationships Between Maternal Obesity-Related Traits and Birth Weight.母亲肥胖相关特征与出生体重之间因果关系的遗传学证据。
JAMA. 2016 Mar 15;315(11):1129-40. doi: 10.1001/jama.2016.1975.
4
Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies.最佳(但常被遗忘)实践:孟德尔随机化研究的设计、分析与解读
Am J Clin Nutr. 2016 Apr;103(4):965-78. doi: 10.3945/ajcn.115.118216.
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Genome-wide meta-analysis uncovers novel loci influencing circulating leptin levels.全基因组荟萃分析揭示影响循环瘦素水平的新基因座。
Nat Commun. 2016 Feb 1;7:10494. doi: 10.1038/ncomms10494.
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Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression.使用无效工具变量的孟德尔随机化:通过Egger回归进行效应估计和偏差检测
Int J Epidemiol. 2015 Apr;44(2):512-25. doi: 10.1093/ije/dyv080. Epub 2015 Jun 6.
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Instrumental variable analysis with a nonlinear exposure-outcome relationship.具有非线性暴露-结局关系的工具变量分析
Epidemiology. 2014 Nov;25(6):877-85. doi: 10.1097/EDE.0000000000000161.
8
Genome-wide trans-ancestry meta-analysis provides insight into the genetic architecture of type 2 diabetes susceptibility.全基因组跨种族荟萃分析为 2 型糖尿病易感性的遗传结构提供了新视角。
Nat Genet. 2014 Mar;46(3):234-44. doi: 10.1038/ng.2897. Epub 2014 Feb 9.
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New loci associated with birth weight identify genetic links between intrauterine growth and adult height and metabolism.与出生体重相关的新基因座揭示了宫内生长与成人身高和代谢之间的遗传联系。
Nat Genet. 2013 Jan;45(1):76-82. doi: 10.1038/ng.2477. Epub 2012 Dec 2.
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Association of hypertension drug target genes with blood pressure and hypertension in 86,588 individuals.高血压药物靶点基因与 86588 个人的血压和高血压的关联。
Hypertension. 2011 May;57(5):903-10. doi: 10.1161/HYPERTENSIONAHA.110.158667. Epub 2011 Mar 28.