Identification of novel variants associated with osteoporosis, type 2 diabetes and potentially pleiotropic loci using pleiotropic cFDR method.

Identification of novel variants associated with osteoporosis, type 2 diabetes and potentially pleiotropic loci using pleiotropic cFDR method.
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DOI:
10.1016/j.bone.2018.08.020
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发表时间:
2018-12
期刊:
影响因子:
4.1
通讯作者:
Deng HW
Deng HW
中科院分区:
医学2区
文献类型:
--
作者:
Hu Y;Tan LJ;Chen XD;Greenbaum J;Deng HW

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临床和流行病学研究结果表明2型糖尿病(T2 D)与骨质疏松症之间存在关联。全基因组关联研究(GWASs)已在确定一些位点可能与骨质疏松症和T2 D分别富有成效。然而,这两种疾病的总遗传方差以及它们之间共享的遗传决定在很大程度上是未知的。本研究的目的是确定骨质疏松症和/或T2 D的新遗传变异。首先,使用多效性条件错误发现率(cFDR)方法,我们分析了股骨颈骨密度(FN_BMD,n = 53,236)和T2 D(n = 159,208)的两个GWAS汇总数据,以识别新的共享遗传位点。FN_BMD是骨质疏松的重要危险因素。接下来,为了探索所鉴定的潜在多效性基因的潜在功能,在单核细胞和外周血单核细胞(PBMC)中对其进行差异表达分析,因为这些细胞与骨质疏松症和/或T2 D的病因学相关。此外,进行加权基因共表达分析(WGCNA),以通过使用骨活检(E-MEXP-1618)和胰岛(GSE 50397)中的转录组表达数据集来鉴定新型多效性基因与已知骨质疏松症/T2 D易感基因之间的功能联系。最后,对检测到的多效性风险基因座进行多性状精细定位,以鉴定对FN_BMD和T2 D具有最高因果概率的SNP。我们分别鉴定了FN_BMD的27个cFDR < 0.05的显著SNP和T2 D的61个SNP。四个位点,rs7068487(PLEKHA 1)、rs 10885421(TCF 7 L2)、rs 944082(GNG 12-AS 1(WLS))和rs 2065929(PIFO|| PGCP 1)被发现是潜在的多效性的,并且在FN_BMD和T2 D之间共享(ccFDR < 0.05)。发现PLEKHA 1在高和低BMD受试者之间的循环单核细胞以及糖尿病和非糖尿病条件之间的PBMC中差异表达。WGCNA结果显示,PLEKHA 1和TCF 7 L2与骨活检和胰岛中的多种骨质疏松和T2 D相关基因如JAG、EN 1和CPE相互关联。精细定位表明,rs 11200594是PLEKHA 1位点的潜在致病变异。rs 11200594也是PLEKHA 1在多个组织(例如外周血细胞、脂肪和卵巢)中的eQTL,并且与许多功能变体处于强LD中。四个潜在的多效性基因座被确定为骨质疏松症和T2 D的共同遗传决定因素。我们的研究强调PLEKHA 1作为一个重要的潜在多效性基因。这些发现可能有助于我们更好地了解这两种重要疾病之间的共同遗传决定。
Clinical and epidemiological findings point to an association between type 2 diabetes (T2D) and osteoporosis. Genome-wide association studies (GWASs) have been fruitful in identifying some loci potentially as sociated with osteoporosis and T2D respectively. However, the total genetic variance for each of these two diseases and the shared genetic determination between them are largely unknown. The aim of this study was to identify novel genetic variants for osteoporosis and/or T2D. First, using a pleiotropic conditional false discovery rate (cFDR) method, we analyzed two GWAS summary data of femoral neck bone mineral density (FN_BMD, n = 53,236) and T2D (n = 159,208) to identify novel shared genetic loci. FN_BMD is an important risk factor for osteoporosis. Next, to explore the potential functions of the identified potential pleiotropic genes, differential expression analysis was performed for them in monocytes and peripheral blood mononuclear cells (PBMCs) as these cells are relevant to the etiology of osteoporosis and/or T2D. Further, weighted gene co-expression analysis (WGCNA) was conducted to identify functional connections between novel pleiotropic genes and known osteoporosis/T2D susceptibility genes by using transcriptomic expression datasets in bone biopsies (E-MEXP-1618) and pancreatic islets (GSE50397). Finally, multi-trait fine mapping for the detected pleiotropic risk loci were conducted to identify the SNPs that have the highest probability of being causal for both FN_BMD and T2D. We identified 27 significant SNPs with cFDR < 0.05 for FN_BMD and 61 SNPs for T2D respectively. Four loci, rs7068487 (PLEKHA1), rs10885421 (TCF7L2), rs944082 (GNG12-AS1 (WLS)) and rs2065929 (PIFO||PGCP1), were found to be potentially pleiotropic and shared between FN_BMD and T2D (ccFDR < 0.05). PLEKHA1 was found differentially expressed in circulating monocytes between high and low BMD subjects, and PBMCs between diabetic and non-diabetic conditions. WGCNA showed that PLEKHA1 and TCF7L2 were interconnected with multiple osteoporosis and T2D associated genes in bone biopsy and pancreatic islets, such as JAG, EN1 and CPE. Fine mapping showed that rs11200594 was a potentially causal variant in the locus of PLEKHA1. rs11200594 is also an eQTL of PLEKHA1 in multiple tissue (e.g. peripheral blood cells, adipose and ovary) and is in strong LD with a number of functional variants. Four potential pleiotropic loci were identified for shared genetic determination of osteoporosis and T2D. Our study highlights PLEKHA1 as an important potentially pleiotropic gene. The findings may help us gain a better understanding of the shared genetic determination between these two important disorders.
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发表时间: 2010-07-23
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影响因子: 64.5
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发表时间: 2017-03-09
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影响因子: 3.5
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影响因子: 4.1
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