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根据 BMI 将 2 型糖尿病病例分层,可鉴定出 LAMA1 中的遗传风险变异体,与肥胖病例相比,在瘦体型病例中这些风险变异体更为富集。

Stratifying type 2 diabetes cases by BMI identifies genetic risk variants in LAMA1 and enrichment for risk variants in lean compared to obese cases.

机构信息

Genetics of Complex Traits, Peninsula Medical School, University of Exeter, Exeter, United Kingdom.

出版信息

PLoS Genet. 2012 May;8(5):e1002741. doi: 10.1371/journal.pgen.1002741. Epub 2012 May 31.

Abstract

Common diseases such as type 2 diabetes are phenotypically heterogeneous. Obesity is a major risk factor for type 2 diabetes, but patients vary appreciably in body mass index. We hypothesized that the genetic predisposition to the disease may be different in lean (BMI<25 Kg/m²) compared to obese cases (BMI≥30 Kg/m²). We performed two case-control genome-wide studies using two accepted cut-offs for defining individuals as overweight or obese. We used 2,112 lean type 2 diabetes cases (BMI<25 kg/m²) or 4,123 obese cases (BMI≥30 kg/m²), and 54,412 un-stratified controls. Replication was performed in 2,881 lean cases or 8,702 obese cases, and 18,957 un-stratified controls. To assess the effects of known signals, we tested the individual and combined effects of SNPs representing 36 type 2 diabetes loci. After combining data from discovery and replication datasets, we identified two signals not previously reported in Europeans. A variant (rs8090011) in the LAMA1 gene was associated with type 2 diabetes in lean cases (P = 8.4×10⁻⁹, OR = 1.13 [95% CI 1.09-1.18]), and this association was stronger than that in obese cases (P = 0.04, OR = 1.03 [95% CI 1.00-1.06]). A variant in HMG20A--previously identified in South Asians but not Europeans--was associated with type 2 diabetes in obese cases (P = 1.3×10⁻⁸, OR = 1.11 [95% CI 1.07-1.15]), although this association was not significantly stronger than that in lean cases (P = 0.02, OR = 1.09 [95% CI 1.02-1.17]). For 36 known type 2 diabetes loci, 29 had a larger odds ratio in the lean compared to obese (binomial P = 0.0002). In the lean analysis, we observed a weighted per-risk allele OR = 1.13 [95% CI 1.10-1.17], P = 3.2×10⁻¹⁴. This was larger than the same model fitted in the obese analysis where the OR = 1.06 [95% CI 1.05-1.08], P = 2.2×10⁻¹⁶. This study provides evidence that stratification of type 2 diabetes cases by BMI may help identify additional risk variants and that lean cases may have a stronger genetic predisposition to type 2 diabetes.

摘要

常见疾病,如 2 型糖尿病,在表型上存在异质性。肥胖是 2 型糖尿病的主要危险因素,但患者的体重指数差异很大。我们假设,疾病的遗传易感性在瘦(BMI<25kg/m²)和肥胖(BMI≥30kg/m²)患者中可能不同。我们使用两种公认的超重或肥胖定义标准,进行了两项病例对照全基因组研究。我们使用了 2112 名瘦 2 型糖尿病患者(BMI<25kg/m²)或 4123 名肥胖患者(BMI≥30kg/m²)和 54412 名未分层对照者。在 2881 名瘦患者或 8702 名肥胖患者和 18957 名未分层对照者中进行了复制。为了评估已知信号的影响,我们测试了代表 36 个 2 型糖尿病位点的 SNP 的个体和联合效应。在将发现和复制数据集的数据结合后,我们确定了两个以前在欧洲人中没有报道过的信号。LAMA1 基因中的一个变体(rs8090011)与瘦患者的 2 型糖尿病相关(P=8.4×10⁻⁹,OR=1.13[95%CI1.09-1.18]),这种关联强于肥胖患者(P=0.04,OR=1.03[95%CI1.00-1.06])。HMG20A 中的一个变体——以前在南亚人中发现,但在欧洲人中没有发现——与肥胖患者的 2 型糖尿病相关(P=1.3×10⁻⁸,OR=1.11[95%CI1.07-1.15]),尽管这种关联并不比瘦患者更强(P=0.02,OR=1.09[95%CI1.02-1.17])。对于 36 个已知的 2 型糖尿病位点,29 个在瘦患者中的比值比在肥胖患者中更大(二项式 P=0.0002)。在瘦患者的分析中,我们观察到加权每个风险等位基因的 OR=1.13[95%CI1.10-1.17],P=3.2×10⁻¹⁴。这大于在肥胖患者分析中拟合的相同模型,其中 OR=1.06[95%CI1.05-1.08],P=2.2×10⁻¹⁶。这项研究提供了证据,表明按 BMI 分层 2 型糖尿病患者可能有助于识别额外的风险变异,并且瘦患者可能对 2 型糖尿病有更强的遗传易感性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4302/3364960/e63c22fafce1/pgen.1002741.g001.jpg

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