Novel susceptibility loci for steroid-associated osteonecrosis of the femoral head in systemic lupus erythematosus

全基因组关联研究 股骨头 优势比 内科学 疾病 生物 等位基因 免疫学 医学 遗传学 单核苷酸多态性 基因 基因型 外科
作者
Hiroyuki Suetsugu,Kwang-Woo Kim,Takuaki Yamamoto,So‐Young Bang,Yuma Sakamoto,Jung-Min Shin,Nobuhiko Sugano,Ji Soong Kim,Masaya Mukai,Yeon‐Kyung Lee,Koichiro Ohmura,Dae Jin Park,Daisuke Takahashi,Ga-Young Ahn,Kohei Karino,Young-Chang Kwon,Tomoya Miyamura,Jihye Kim,Junichi Nakamura,Goro Motomura
出处
期刊:Human Molecular Genetics [Oxford University Press]
卷期号:31 (7): 1082-1095 被引量:9
标识
DOI:10.1093/hmg/ddab306
摘要

Osteonecrosis of the femoral head (ONFH) involves necrosis of bone and bone marrow of the femoral head caused by ischemia with unknown etiology. Previous genetic studies on ONFH failed to produce consistent results, presumably because ONFH has various causes with different genetic backgrounds and the underlying diseases confounded the associations. Steroid-associated ONFH (S-ONFH) accounts for one-half of all ONFH, and systemic lupus erythematosus (SLE) is a representative disease underlying S-ONFH. We performed a genome-wide association study (GWAS) to identify genetic risk factors for S-ONFH in patients with SLE. We conducted a two-staged GWAS on 636 SLE patients with S-ONFH and 95 588 non-SLE controls. Among the novel loci identified, we determined S-ONFH-specific loci by comparing allele frequencies between SLE patients without S-ONFH and non-SLE controls. We also used Korean datasets comprising 148 S-ONFH cases and 37 015 controls to assess overall significance. We evaluated the functional annotations of significant variants by in silico analyses. The Japanese GWAS identified 4 significant loci together with 12 known SLE susceptibility loci. The four significant variants showed comparable effect sizes on S-ONFH compared with SLE controls and non-SLE controls. Three of the four loci, MIR4293/MIR1265 [odds ratio (OR) = 1.99, P-value = 1.1 × 10-9)], TRIM49/NAALAD2 (OR = 1.65, P-value = 4.8 × 10-8) and MYO16 (OR = 3.91, P-value = 4.9 × 10-10), showed significant associations in the meta-analysis with Korean datasets. Bioinformatics analyses identified MIR4293, NAALAD2 and MYO16 as candidate causal genes. MIR4293 regulates a PPARG-related adipogenesis pathway relevant to S-ONFH. We identified three novel susceptibility loci for S-ONFH in SLE.
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