Lee David S M, Cardone Kathleen M, Zhang David Y, Tsao Noah L, Abramowitz Sarah, Sharma Pranav, DePaolo John S, Conery Mitchell, Aragam Krishna G, Biddinger Kiran, Dilitikas Ozan, Hoffman-Andrews Lily, Judy Renae L, Khan Atlas, Kulo Iftikhar, Puckelwartz Megan J, Reza Nosheen, Satterfield Benjamin A, Singhal Pankhuri, Arany Zoltan P, Cappola Thomas P, Carruth Eric, Day Sharlene M, Do Ron, Haggarty Christopher M, Joseph Jacob, McNally Elizabeth M, Nadkarni Girish, Owens Anjali T, Rader Daniel J, Ritchie Marylyn D, Sun Yan V, Voight Benjamin F, Levin Michael G, Damrauer Scott M
Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL.
Department of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA.
medRxiv. 2024 Oct 23:2023.07.16.23292724. doi: 10.1101/2023.07.16.23292724.
Heart failure (HF) is a complex trait, influenced by environmental and genetic factors, which affects over 30 million individuals worldwide. Historically, the genetics of HF have been studied in Mendelian forms of disease, where rare genetic variants have been linked to familial cardiomyopathies. More recently, genome-wide association studies (GWAS) have successfully identified common genetic variants associated with risk of HF. However, the relative importance of genetic variants across the allele-frequency spectrum remains incompletely characterized. Here, we report the results of common- and rare-variant association studies of all-cause heart failure, applying recently developed methods to quantify the heritability of HF attributable to different classes of genetic variation. We combine GWAS data across multiple populations including 207,346 individuals with HF and 2,151,210 without, identifying 176 risk loci at genome-wide significance (P-value < 5×10). Signals at newly identified common-variant loci include coding variants in Mendelian cardiomyopathy genes (, ) and in regulators of lipoprotein () and glucose metabolism (, ). These signals are enriched in myocyte and adipocyte cell types and can be clustered into 5 broad modules based on pleiotropic associations with anthropomorphic traits/obesity, blood pressure/renal function, atherosclerosis/lipids, immune activity, and arrhythmias. Gene burden studies across three biobanks (PMBB, UKB, AOU), including 27,208 individuals with HF and 349,126 without, uncover exome-wide significant (P-value < 1.57×10) associations for HF and rare predicted loss-of-function (pLoF) variants in , , Total burden heritability of rare coding variants (2.2%, 95% CI 0.99-3.5%) is highly concentrated in a small set of Mendelian cardiomyopathy genes, while common variant heritability (4.3%, 95% CI 3.9-4.7%) is more diffusely spread throughout the genome. Finally, we show that common-variant background, in the form of a polygenic risk score (PRS), significantly modifies the risk of HF among carriers of pathogenic truncating variants in the Mendelian cardiomyopathy gene TTN. Together, these findings provide a genetic link between dysregulated metabolism and HF, and suggest a significant polygenic component to HF exists that is not captured by current clinical genetic testing.
心力衰竭(HF)是一种复杂的性状,受环境和遗传因素影响,全球有超过3000万人受其影响。从历史上看,HF的遗传学研究主要集中在孟德尔式疾病形式,其中罕见的遗传变异与家族性心肌病有关。最近,全基因组关联研究(GWAS)已成功识别出与HF风险相关的常见遗传变异。然而,等位基因频率谱上遗传变异的相对重要性仍未完全明确。在此,我们报告了全因心力衰竭的常见和罕见变异关联研究结果,应用最近开发的方法来量化归因于不同类别的遗传变异的HF遗传力。我们整合了多个群体的GWAS数据,包括207346例HF患者和2151210例非HF患者,在全基因组显著性水平(P值<5×10)下识别出176个风险位点。新识别的常见变异位点的信号包括孟德尔心肌病基因(,)以及脂蛋白()和葡萄糖代谢(,)调节因子中的编码变异。这些信号在心肌细胞和脂肪细胞类型中富集,并且可以根据与人体形态特征/肥胖、血压/肾功能、动脉粥样硬化/脂质、免疫活性和心律失常的多效性关联聚类为5个广泛的模块。对三个生物样本库(PMBB、UKB、AOU)进行的基因负担研究,包括27208例HF患者和349126例非HF患者,发现HF与,,中的罕见预测功能丧失(pLoF)变异存在全外显子组显著性(P值<1.57×10)关联。罕见编码变异的总负担遗传力(2.2%,95%置信区间0.99 - 3.5%)高度集中在一小部分孟德尔心肌病基因中,而常见变异遗传力(4.3%,95%置信区间3.9 - 4.7%)在整个基因组中分布更为分散。最后,我们表明,以多基因风险评分(PRS)形式存在的常见变异背景显著改变了孟德尔心肌病基因TTN中致病性截短变异携带者的HF风险等级。总之,这些发现提供了代谢失调与HF之间的遗传联系,并表明HF存在一个未被当前临床基因检测所捕获的显著多基因成分。