Institute of Metabolic Science, University of Cambridge, Cambridge, UK.
School of Clinical Medicine, University of Cambridge, Cambridge, UK.
Liver Int. 2022 Aug;42(8):1823-1835. doi: 10.1111/liv.15283. Epub 2022 May 11.
Understanding the genetics of liver disease has the potential to facilitate clinical risk stratification. We recently identified acquired somatic mutations in six genes and one lncRNA in pre-existing fatty liver disease. We hypothesised that germline variation in these genes might be associated with the risk of developing steatosis and contribute to the prediction of disease severity.
Genome-wide association study (GWAS) summary statistics were extracted from seven studies (>1.7 million participants) for variants near ACVR2A, ALB, CIDEB, FOXO1, GPAM, NEAT1 and TNRC6B for: aminotransferases, liver fat, HbA1c, diagnosis of NAFLD, ARLD and cirrhosis. Findings were replicated using GWAS data from multiple independent cohorts. A phenome-wide association study was performed to examine for related metabolic traits, using both common and rare variants, including gene-burden testing.
There was no evidence of association between rare germline variants or SNPs near five genes (ACVR2A, ALB, CIDEB, FOXO1 and TNRC6B) and risk or severity of liver disease. Variants in GPAM (proxies for p.Ile43Val) were associated with liver fat (p = 3.6 × 10 ), ALT (p = 2.8 × 10 ) and serum lipid concentrations. Variants in NEAT1 demonstrated borderline significant associations with ALT (p = 1.9 × 10 ) and HbA1c, but not with liver fat, as well as influencing waist-to-hip ratio, adjusted for BMI.
Despite the acquisition of somatic mutations at these loci during progressive fatty liver disease, we did not find associations between germline variation and markers of liver disease, except in GPAM. In the future, larger sample sizes may identify associations. Currently, germline polygenic risk scores will not capture data from genes affected by somatic mutations.
了解肝脏疾病的遗传学有可能促进临床风险分层。我们最近在预先存在的脂肪肝疾病中鉴定了六个基因和一个长非编码 RNA 的获得性体细胞突变。我们假设这些基因中的种系变异可能与发生脂肪变性的风险相关,并有助于预测疾病的严重程度。
从七个研究(超过 170 万参与者)中提取了 ACVR2A、ALB、CIDEB、FOXO1、GPAM、NEAT1 和 TNRC6B 附近变体的全基因组关联研究(GWAS)汇总统计数据,用于:氨基转移酶、肝脂肪、HbA1c、NAFLD、ARLD 和肝硬化的诊断。使用来自多个独立队列的 GWAS 数据对发现结果进行了复制。进行了表型全基因组关联研究,以使用常见和罕见变体检查相关的代谢特征,包括基因负担测试。
没有证据表明五个基因(ACVR2A、ALB、CIDEB、FOXO1 和 TNRC6B)附近的罕见种系变异或单核苷酸多态性与肝病的风险或严重程度有关。GPAM 中的变体(p.Ile43Val 的替代物)与肝脂肪(p = 3.6×10)、ALT(p = 2.8×10)和血清脂质浓度相关。NEAT1 中的变体与 ALT(p = 1.9×10)和 HbA1c 呈边缘显著相关,但与肝脂肪无关,并且在调整 BMI 后还影响腰围与臀围的比值。
尽管在进行性脂肪肝疾病中这些位点获得了体细胞突变,但我们没有发现种系变异与肝病标志物之间的关联,除了在 GPAM 中。未来,更大的样本量可能会发现关联。目前,种系多基因风险评分不会捕获受体细胞突变影响的基因的数据。