Assessing the genetic relationships between osteoarthritis and human plasma proteins: a large scale genetic correlation scan
Assessing the genetic relationships between osteoarthritis and human plasma proteins: a large scale genetic correlation scan
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评估骨关节炎和人类血浆蛋白之间的遗传关系:大规模遗传相关扫描
DOI:
10.21037/atm-19-4643
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发表时间:
2020-06-01
影响因子:
--
通讯作者:
Zhang, Feng
中科院分区:
文献类型:
--
作者:
Liu, Li;Wang, Sen;Zhang, Feng
Background: Osteoarthritis (OA) is a multifactorial complex disease. The impact of plasma proteins on OA remains elusive now.Methods: The UK Biobank genome-wide association study data of OA was used here. Genome-wide SNP genotyping was performed using the Affymetrix UK BiLEVE Axiom or UK Biobank Axiom array. Equally, the GWAS summary data of 3,622 plasma proteins was derived from a recently published study. Consequently, linkage disequilibrium score regression (LD score regression) analysis was performed to evaluate the genetic correlation between each plasma protein and different sites of OA.Results: Several suggestive plasma proteins were identified for OA. For hand OA, evidence of genetic correlation was observed for inter-alpha- trypsin inhibitor heavy chain H1 (coefficient = -0.3854, P value = 0.0198), multiple inositol polyphosphate phosphatase 1 (coefficient = -1.1721, P value = 0.0303). For hip OA, 7 suggestive genetic correlation signals were observed, such as Transmembrane glycoprotein NMB (coefficient = 0.6944, P value = 0.0098), Endothelial cell-specific molecule 1 (coefficient = 0.6337, P value = 0.03). For Knee OA, 12 suggestive genetic correlation signals were identified, including Elafin (coefficient = -0.5562, P value = 0.0092), Interleukin-16 (coefficient = 0.3949, P value = 0.0435).Conclusions: We investigated the genetic correlations between plasma proteins and different sites of OA in a systematic way. Our results provide novel evidence that OA is a heterogeneous disease.