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全基因组荟萃分析确定了 56 个骨密度位点,并发现了 14 个与骨折风险相关的位点。

Genome-wide meta-analysis identifies 56 bone mineral density loci and reveals 14 loci associated with risk of fracture.

机构信息

Department of Internal Medicine, Erasmus Medical Center, Rotterdam, The Netherlands.

出版信息

Nat Genet. 2012 Apr 15;44(5):491-501. doi: 10.1038/ng.2249.

Abstract

Bone mineral density (BMD) is the most widely used predictor of fracture risk. We performed the largest meta-analysis to date on lumbar spine and femoral neck BMD, including 17 genome-wide association studies and 32,961 individuals of European and east Asian ancestry. We tested the top BMD-associated markers for replication in 50,933 independent subjects and for association with risk of low-trauma fracture in 31,016 individuals with a history of fracture (cases) and 102,444 controls. We identified 56 loci (32 new) associated with BMD at genome-wide significance (P < 5 × 10(-8)). Several of these factors cluster within the RANK-RANKL-OPG, mesenchymal stem cell differentiation, endochondral ossification and Wnt signaling pathways. However, we also discovered loci that were localized to genes not known to have a role in bone biology. Fourteen BMD-associated loci were also associated with fracture risk (P < 5 × 10(-4), Bonferroni corrected), of which six reached P < 5 × 10(-8), including at 18p11.21 (FAM210A), 7q21.3 (SLC25A13), 11q13.2 (LRP5), 4q22.1 (MEPE), 2p16.2 (SPTBN1) and 10q21.1 (DKK1). These findings shed light on the genetic architecture and pathophysiological mechanisms underlying BMD variation and fracture susceptibility.

摘要

骨密度(BMD)是预测骨折风险最广泛使用的指标。我们对腰椎和股骨颈 BMD 进行了迄今为止最大的荟萃分析,包括 17 项全基因组关联研究和来自欧洲和东亚的 32961 个人。我们在 50933 个独立个体中测试了顶级 BMD 相关标记物的复制,并在 31016 名有骨折史(病例)和 102444 名对照者中测试了这些标记物与低创伤性骨折风险的关联。我们确定了 56 个与 BMD 相关的基因座(32 个为新基因座),达到全基因组显著关联(P < 5 × 10(-8))。其中一些因素聚集在 RANK-RANKL-OPG、间充质干细胞分化、软骨内骨化和 Wnt 信号通路中。然而,我们还发现了一些位于不参与骨生物学的基因座中的基因座。14 个 BMD 相关基因座也与骨折风险相关(P < 5 × 10(-4),Bonferroni 校正),其中 6 个达到 P < 5 × 10(-8),包括 18p11.21(FAM210A)、7q21.3(SLC25A13)、11q13.2(LRP5)、4q22.1(MEPE)、2p16.2(SPTBN1)和 10q21.1(DKK1)。这些发现揭示了 BMD 变异和骨折易感性的遗传结构和病理生理机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0475/3338864/6536dd9e9e49/nihms364577f1.jpg

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