Institute of Clinical Molecular Biology (IKMB), Kiel University and University Medical Center Schleswig-Holstein, Rosalind-Franklin-Str. 12, 24105, Kiel, Germany.
Semin Immunopathol. 2022 Jul;44(4):397-410. doi: 10.1007/s00281-022-00950-8. Epub 2022 Jun 1.
Genome-wide association studies (GWAS) for autoimmune hepatitis (AIH) and GWAS/genome-wide meta-analyses (GWMA) for primary biliary cholangitis (PBC) and primary sclerosing cholangitis (PSC) have been successful over the past decade, identifying about 100 susceptibility loci in the human genome, with strong associations with the HLA locus and many susceptibility variants outside the HLA locus with relatively low risk. However, identifying causative variants and genes and determining their effects on liver cells and their immunological microenvironment is far from trivial. Polygenic risk scores (PRSs) based on current genome-wide data have limited potential to predict individual disease risk. Interestingly, results of mediated expression score regression analysis provide evidence that a substantial portion of gene expression at susceptibility loci is mediated by genetic risk variants, in contrast to many other complex diseases. Genome- and transcriptome-wide comparisons between AIH, PBC, and PSC could help to better delineate the shared inherited component of autoimmune liver diseases (AILDs), and statistical fine-mapping, chromosome X-wide association testing, and genome-wide in silico drug screening approaches recently applied to GWMA data from PBC could potentially be successfully applied to AIH and PSC. Initial successes through single-cell RNA sequencing (scRNA-seq) experiments in PBC and PSC now raise high hopes for understanding the impact of genetic risk variants in the context of liver-resident immune cells and liver cell subpopulations, and for bridging the gap between genetics and disease.
在过去的十年中,针对自身免疫性肝炎(AIH)的全基因组关联研究(GWAS)和针对原发性胆汁性胆管炎(PBC)和原发性硬化性胆管炎(PSC)的 GWAS/全基因组荟萃分析(GWMA)都取得了成功,在人类基因组中确定了约 100 个易感位点,与 HLA 基因座强烈相关,并且许多 HLA 基因座外的易感变异与相对较低的风险相关。然而,确定致病变异和基因,并确定它们对肝细胞及其免疫微环境的影响并非易事。基于当前全基因组数据的多基因风险评分(PRS)预测个体疾病风险的潜力有限。有趣的是,介导表达评分回归分析的结果提供了证据,表明易感基因座的大部分基因表达是由遗传风险变异介导的,与许多其他复杂疾病形成对比。AIH、PBC 和 PSC 之间的基因组和转录组比较有助于更好地描绘自身免疫性肝病(AILD)的共同遗传成分,并且最近应用于 PBC 的 GWMA 数据的统计精细映射、X 染色体全关联测试和全基因组计算机药物筛选方法可能成功应用于 AIH 和 PSC。PBC 和 PSC 中的单细胞 RNA 测序(scRNA-seq)实验的初步成功,现在为理解遗传风险变异在肝固有免疫细胞和肝细胞亚群中的作用,以及为遗传学和疾病之间架起桥梁,带来了很高的期望。