Department of Orthopedics, The Second Xiangya Hospital of Central South University, Changsha, 410011, China.
College of Life Sciences and Bioengineering, Beijing Jiaotong University, Beijing, 100044, China.
Calcif Tissue Int. 2021 Jul;109(1):17-31. doi: 10.1007/s00223-021-00817-4. Epub 2021 Mar 19.
Genome-wide association studies (GWASs) have identified hundreds of genetic loci for osteoporosis (OP) and rheumatoid arthritis (RA), individually, however, a large proportion of the total trait heritability remains unexplained. Previous studies demonstrated that these two diseases may share some common genetic determination and risk factors, but they were generally focused on individual trait and failed to identify the common variants that play key functional roles in the etiology of these two diseases. Here, we performed a conditional false discovery rate (cFDR) analysis to identify novel pleiotropic variants shared between them by integrating two independent GWASs with summary statistics for total body bone mineral density (TB-BMD, a major risk factor for osteoporosis) (n = 66,628) and RA (n = 58,284). A fine-mapping approach was also applied to identify the most probable causal variants with biological effects on both TB-BMD and RA. As a result, we found 47 independent pleiotropic SNPs shared between TB-BMD and RA, and 40 of them were validated in heel ultrasound estimated BMD (eBMD), femoral neck BMD (FN-BMD) or lumbar spine (LS-BMD). We detected one SNP (rs13299616) was novel and not identified by previous BMD or RA-related studies. Combined with fine-mapping and GWAS-eQTL colocalization analyses, our results suggested that locus 1p13.2 (including PTPN22, MAGI3, PHTF1, and RSBN1) was an important region to regulate TB-BMD and RA simultaneously. These findings provide new insights into the shared biological mechanisms and functional genetic determinants between OP and RA, and novel potential targets for treatment development.
全基因组关联研究(GWAS)分别鉴定了数百个骨质疏松症(OP)和类风湿关节炎(RA)的遗传位点,但总表型遗传率的很大一部分仍未得到解释。先前的研究表明,这两种疾病可能具有一些共同的遗传决定因素和风险因素,但它们通常侧重于个体特征,未能确定在这两种疾病发病机制中起关键功能作用的常见变异。在这里,我们通过整合两项独立的 GWAS 汇总统计数据,对总骨密度(TB-BMD,骨质疏松症的主要危险因素)(n=66628)和 RA(n=58284)进行条件错误发现率(cFDR)分析,以确定它们之间存在的新型的、具有表型多效性的变异。还应用了精细映射方法来识别对 TB-BMD 和 RA 均具有生物学效应的最可能的因果变异。结果,我们发现了 47 个独立的 TB-BMD 和 RA 之间具有表型多效性的 SNP,其中 40 个 SNP 在足跟超声估计骨密度(eBMD)、股骨颈骨密度(FN-BMD)或腰椎(LS-BMD)中得到验证。我们检测到一个 SNP(rs13299616)是以前的 BMD 或 RA 相关研究未识别的新型 SNP。结合精细映射和 GWAS-eQTL 共定位分析,我们的结果表明,1p13.2 位点(包括 PTPN22、MAGI3、PHTF1 和 RSBN1)是一个重要的区域,能够同时调节 TB-BMD 和 RA。这些发现为 OP 和 RA 之间的共同生物学机制和功能遗传决定因素提供了新的见解,并为治疗开发提供了新的潜在靶点。