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首页> 外文期刊>PLoS Genetics >Stratifying Type 2 Diabetes Cases by BMI Identifies Genetic Risk Variants in LAMA1 and Enrichment for Risk Variants in Lean Compared to Obese Cases
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Stratifying Type 2 Diabetes Cases by BMI Identifies Genetic Risk Variants in LAMA1 and Enrichment for Risk Variants in Lean Compared to Obese Cases

机译:与肥胖病例相比,BMI将2型糖尿病病例分层可识别LAMA1的遗传风险变异和瘦弱风险变异的富集

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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 (BMI2) 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 (BMI2) 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.
机译:常见的疾病(例如2型糖尿病)在表型上是异质的。肥胖是2型糖尿病的主要危险因素,但患者的体重指数明显不同。我们假设与肥胖病例(BMI≥30Kg / m2)相比,该疾病的遗传易感性(BMI2)可能有所不同。我们进行了两项病例对照全基因组研究,使用两个公认的临界值将个体定义为超重或肥胖。我们使用了2,112例瘦型2型糖尿病病例(BMI2)或4,123例肥胖病例(BMI≥30kg / m2),以及54,412例未分层对照组。在2881例瘦病例或8702例肥胖病例以及18957例未分层对照中进行了复制。为了评估已知信号的作用,我们测试了代表36个2型糖尿病基因座的SNP的单独作用和联合作用。将发现和复制数据集中的数据合并后,我们确定了欧洲人以前未曾报道过的两种信号。 LAMA1基因的一个变异(rs8090011)与瘦型病例的2型糖尿病有关(P?=?8.4×10?9,OR?=?1.13 [95 %CI 1.09–1.18]),这种关联更强较肥胖病例(P?=?0.04,OR?=?1.03 [95%CI 1.00–1.06])。 HMG20A的一种变体(先前在南亚人中发现,但在欧洲人中未发现)与肥胖病例中的2型糖尿病相关(P?=?1.3×10?8,OR?=?1.11 [95%CI 1.07-1.15]),尽管这种关联性并不比瘦弱的情况强(P?=?0.02,OR?=?1.09 [95%CI 1.02-1.17])。在36个已知的2型糖尿病基因座中,有29个瘦肉的比值比肥胖(binomial P?= 0.0002)。在精益分析中,我们观察到加权的每风险等位基因OR?=?1.13 [95%CI 1.10-1.17],P?=?3.2×10?14。这大于肥胖分析中拟合的相同模型,其中OR?=?1.06 [95%CI 1.05-1.08],P?=?2.2×10?16。这项研究提供的证据表明,通过BMI对2型糖尿病病例进行分层可能有助于识别其他风险变异,并且瘦弱的病例可能对2型糖尿病具有更强的遗传易感性。

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