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韩国人群中肥胖或消瘦的2型糖尿病病例富集的基因座鉴定。

Identification of genetic loci enriched in obese or lean T2D cases in the Korean population.

作者信息

Lim Eun Bi, Cho Yoon Shin

机构信息

Department of Biomedical Science, Hallym University, Chuncheon, Gangwon State, 24252, Republic of Korea.

Department of Neuroscience, Hallym University College of Medicine, Chuncheon, Gangwon State, 24252, Republic of Korea.

出版信息

Genes Genomics. 2025 Feb;47(2):235-243. doi: 10.1007/s13258-024-01602-x. Epub 2024 Dec 18.

DOI:10.1007/s13258-024-01602-x
PMID:39693004
Abstract

BACKGROUND

Obesity causes many complex diseases including type 2 diabetes (T2D). Obesity increases the risk of T2D in Europeans, but there are many non-obese (lean) T2D patients in East Asia.

OBJECTIVE

To discover genetic factors enriched in obese or lean T2D patients, we conducted a genome-wide association (GWA) analysis for T2D stratified by BMI in the Korean population.

METHODS

In the discovery stage, 654 and 247 individuals classified as obese (BMI > 25) and lean (BMI < 23) T2D patients, respectively, were compared with 3,842 control subjects for GWA analysis. Several BMI-stratified T2D variants detected in the discovery stage were further tested in the replication stage, which included 402 obese and 220 lean T2D cases, and 3,615 controls.

RESULTS

Meta-analysis combining the discovery and replication stages detected two variants with genome-wide significance: rs2356138 [P = 2.8 × 10, OR = 2.06 (1.59-2.65)] in obese T2D subjects and rs9295478 [P = 2.5 × 10, OR = 1.61 (1.38-1.88)] in lean ones. The SNP rs9295478 is located in CDKAL1, a well-known T2D gene previously identified in several GWA studies. Meanwhile, the SNP rs2356138 is a previously unknown variant located in PKP4.

CONCLUSION

We discovered genetic loci enriched in obese or lean T2D patients in the Korean population. Our findings should facilitate more effective control of T2D in Koreans.

摘要

背景

肥胖会引发包括2型糖尿病(T2D)在内的多种复杂疾病。肥胖会增加欧洲人患T2D的风险,但东亚有许多非肥胖(瘦型)T2D患者。

目的

为了发现肥胖或瘦型T2D患者中富集的遗传因素,我们在韩国人群中对按体重指数(BMI)分层的T2D进行了全基因组关联(GWA)分析。

方法

在发现阶段,分别将654例和247例被分类为肥胖(BMI>25)和瘦型(BMI<23)的T2D患者与3842例对照受试者进行GWA分析。在发现阶段检测到的几个按BMI分层的T2D变异在复制阶段进一步进行检测,复制阶段包括402例肥胖和220例瘦型T2D病例以及3615例对照。

结果

结合发现阶段和复制阶段的荟萃分析检测到两个具有全基因组显著性的变异:肥胖T2D受试者中的rs2356138 [P = 2.8×10,比值比(OR)= 2.06(1.59 - 2.65)] 和瘦型受试者中的rs9295478 [P = 2.5×10,OR = 1.61(1.38 - 1.88)]。单核苷酸多态性(SNP)rs9295478位于CDKAL1中,CDKAL1是先前在多项GWA研究中确定的一个著名的T2D基因。同时,SNP rs2356138是位于PKP4中的一个先前未知的变异。

结论

我们在韩国人群中发现了肥胖或瘦型T2D患者中富集的遗传位点。我们的发现应有助于更有效地控制韩国人的T2D。

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本文引用的文献

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Identification of shared genetic risks underlying metabolic syndrome and its related traits in the Korean population.韩国人群中代谢综合征及其相关性状潜在共享遗传风险的识别。
Front Genet. 2024 Jul 10;15:1417262. doi: 10.3389/fgene.2024.1417262. eCollection 2024.
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Genetic drivers of heterogeneity in type 2 diabetes pathophysiology.2 型糖尿病病理生理学异质性的遗传驱动因素。
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Development of a Polygenic Risk Score for BMI to Assess the Genetic Susceptibility to Obesity and Related Diseases in the Korean Population.
开发一种用于 BMI 的多基因风险评分,以评估韩国人群中肥胖和相关疾病的遗传易感性。
Int J Mol Sci. 2023 Jul 17;24(14):11560. doi: 10.3390/ijms241411560.
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Stratified genome-wide association analysis of type 2 diabetes reveals subgroups with genetic and environmental heterogeneity.2 型糖尿病的分层全基因组关联分析揭示了具有遗传和环境异质性的亚组。
Hum Mol Genet. 2023 Aug 7;32(16):2638-2645. doi: 10.1093/hmg/ddad093.
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Genetic association study identifies genetic variants for non-alcoholic fatty liver without comorbidities in the Korean population.遗传关联研究鉴定出韩国人群中非酒精性脂肪肝无合并症的遗传变异。
Genes Genomics. 2023 Jul;45(7):847-854. doi: 10.1007/s13258-023-01391-9. Epub 2023 May 3.
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Serum metabolomic profiles and semaphorin-3A as biomarkers of diabetic retinopathy progression.血清代谢组学特征和神经信号素 3A 作为糖尿病视网膜病变进展的生物标志物。
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Current Knowledge on the Pathophysiology of Lean/Normal-Weight Type 2 Diabetes.瘦型/正常体重 2 型糖尿病的病理生理学的现有知识。
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Causal Association of Obesity and Dyslipidemia with Type 2 Diabetes: A Two-Sample Mendelian Randomization Study.肥胖和血脂异常与 2 型糖尿病的因果关系:两样本 Mendelian 随机研究。
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The global burden of type 2 diabetes attributable to high body mass index in 204 countries and territories, 1990-2019: An analysis of the Global Burden of Disease Study.204 个国家和地区 1990-2019 年归因于高身体质量指数的 2 型糖尿病全球负担:全球疾病负担研究分析。
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Multi-ancestry genetic study of type 2 diabetes highlights the power of diverse populations for discovery and translation.2型糖尿病的多血统基因研究凸显了不同人群在发现和转化研究方面的力量。
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