A Large-Scale Genome-Wide Gene-Sleep Interaction Study in 732,564 Participants Identifies Lipid Loci Explaining Sleep-Associated Lipid Disturbances

Raymond Noordam, Wenyi Wang, Pavithra Nagarajan, Heming Wang, Michael R Brown, Amy R Bentley, Qin Hui, Aldi T Kraja, John L Morrison, Jeffrey R O'Connel, Songmi Lee, Karen Schwander, Traci M Bartz, Lisa de las Fuentes, Mary F Feitosa, Xiuqing Guo, Xu Hanfei, Sarah E Harris, Zhijie Huang, Mart Kals, Christophe Lefevre, Massimo Mangino, Yuri Milaneschi, Peter van der Most, Natasha L Pacheco, Nicholette D Palmer, Varun Rao, Rainer Rauramaa, Quan Sun, Yasuharu Tabara, Dina Vojinovic, Yujie Wang, Stefan Weiss, Qian Yang, Wei Zhao, Wanyng Zhu, Md Abu Yusuf Ansari, Hugues Aschard, Pramod Anugu, Themistocles L Assimes, John Attia, Laura D Baker, Christie Ballantyne, Lydia Bazzano, Eric Boerwinkle, Brain Cade, Hung-hsin Chen, Wei Chen, Yii-Der Ida Chen, Zekai Chen, Kelly Cho, Illeana De Anda-Duran, Latchezar Dimitrov, Anh Do, Todd Edwards, Tariq Faquih, Aroon Hingorani, Susan P Fisher-Hoch, J. Michael Gaziano, Sina A Gharib, Ayush Giri, Mohsen Ghanbari, Hans Jorgen Grabe, Mariaelisa Graff, C Charles Gu, Jiang He, Sami Heikkinen, James Hixson, Yuk-Lam Ho, Michelle M Hood, Serena C Houghton, Carrie A Karvonen-Gutierrez, Takahisa Kawaguchi, Tuomas O Kilpelainen, Pirjo Komulainen, Henry J Lin, Gregorio V Linchangzo, Annemari I Luik, Jintao Ma, James B Meigs, Joseph B McCormick, Christina Menni, Ilja M Nolte, Jimm M Norris, Lauren E Petty, Hannah G Polikowsky, Laura M Raffield, Stephen S Rich, Renata L Riha, Thomas C Russ, Edward A Ruiz-Narvaez, Colleen M Sitlani, Jennifer A Smith, Harold Snieder, Tamar Sofer, Botong Shen, Jingxian Tang, Kent D Taylor, Maris Tader-Laving, Rima Triatin, Michael Y Tsai, Henry Volzke, Kenneth E Westerman, Rui Xia, Jie Yao, Kristin L Young, Ruiyuan Zhang, Alan B Zonderman, Xiaofeng Zhu, Jennifer E Below, Simon R Cox, Michelle Evans, Myriam Fornage, Ervin R Fox, Nora Franceschini, Sioban D Harlow, Elizabeth Holliday, M Arfan Ikram, Tanika Kelly, Timo A Lakka, Deborah A Lawlor, Changwei Li, Ching-Ti Liu, Reedik Magi, Alisa K Manning, Famihiko Matsuda, Alanna C Morrison, Matthias Nauck, Kari E North, Brenda WJH Penninx, Michael A Province, Bruce M Psaty, Jerome I Rotter, Tim D Spector, Lynne E Wagenknecht, Ko Willems van Dijk, Lifelines Cohort Study, Million Veteran Program, Cashell E Jaquish, Peter WF Wilson, Patricia A Peyser, Patricia B Munroe, Paul S de Vries, W James Gauderman, Yan V Sun, Han Chen, Clint L Miller, Thomas W Winkler, Dabeeru C Rao, Susan Redline, Diana van Heemst
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Michael Gaziano, Sina A Gharib, Ayush Giri, Mohsen Ghanbari, Hans Jorgen Grabe, Mariaelisa Graff, C Charles Gu, Jiang He, Sami Heikkinen, James Hixson, Yuk-Lam Ho, Michelle M Hood, Serena C Houghton, Carrie A Karvonen-Gutierrez, Takahisa Kawaguchi, Tuomas O Kilpelainen, Pirjo Komulainen, Henry J Lin, Gregorio V Linchangzo, Annemari I Luik, Jintao Ma, James B Meigs, Joseph B McCormick, Christina Menni, Ilja M Nolte, Jimm M Norris, Lauren E Petty, Hannah G Polikowsky, Laura M Raffield, Stephen S Rich, Renata L Riha, Thomas C Russ, Edward A Ruiz-Narvaez, Colleen M Sitlani, Jennifer A Smith, Harold Snieder, Tamar Sofer, Botong Shen, Jingxian Tang, Kent D Taylor, Maris Tader-Laving, Rima Triatin, Michael Y Tsai, Henry Volzke, Kenneth E Westerman, Rui Xia, Jie Yao, Kristin L Young, Ruiyuan Zhang, Alan B Zonderman, Xiaofeng Zhu, Jennifer E Below, Simon R Cox, Michelle Evans, Myriam Fornage, Ervin R Fox, Nora Franceschini, Sioban D Harlow, Elizabeth Holliday, M Arfan Ikram, Tanika Kelly, Timo A Lakka, Deborah A Lawlor, Changwei Li, Ching-Ti Liu, Reedik Magi, Alisa K Manning, Famihiko Matsuda, Alanna C Morrison, Matthias Nauck, Kari E North, Brenda WJH Penninx, Michael A Province, Bruce M Psaty, Jerome I Rotter, Tim D Spector, Lynne E Wagenknecht, Ko Willems van Dijk, Lifelines Cohort Study, Million Veteran Program, Cashell E Jaquish, Peter WF Wilson, Patricia A Peyser, Patricia B Munroe, Paul S de Vries, W James Gauderman, Yan V Sun, Han Chen, Clint L Miller, Thomas W Winkler, Dabeeru C Rao, Susan Redline, Diana van Heemst","doi":"10.1101/2024.09.02.24312466","DOIUrl":null,"url":null,"abstract":"We performed large-scale genome-wide gene-sleep interaction analyses of lipid levels to identify novel genetic variants underpinning the biomolecular pathways of sleep-associated lipid disturbances and to suggest possible druggable targets. We collected data from 55 cohorts with a combined sample size of 732,564 participants (87% European ancestry) with data on lipid traits (high-density lipoprotein [HDL-c] and low-density lipoprotein [LDL-c] cholesterol and triglycerides [TG]). Short (STST) and long (LTST) total sleep time were defined by the extreme 20% of the age- and sex-standardized values within each cohort. Based on cohort-level summary statistics data, we performed meta-analyses for the one-degree of freedom tests of interaction and two-degree of freedom joint tests of the main and interaction effect. In the cross-population meta-analyses, the one-degree of freedom variant-sleep interaction test identified 10 loci (Pint<5.0e-9) not previously observed for lipids. Of interest, the ASPH locus (TG, LTST) is a target for aspartic and succinic acid metabolism previously shown to improve sleep and cardiovascular risk. The two-degree of freedom analyses identified an additional 7 loci that showed evidence for variant-sleep interaction (Pjoint<5.0e-9 in combination with Pint<6.6e-6). Of these, the SLC8A1 locus (TG, STST) has been considered a potential treatment target for reduction of ischemic damage after acute myocardial infarction. Collectively, the 17 (9 with STST; 8 with LTST) loci identified in this large-scale initiative provides evidence into the biomolecular mechanisms underpinning sleep-duration-associated changes in lipid levels. The identified druggable targets may contribute to the development of novel therapies for dyslipidemia in people with sleep disturbances.","PeriodicalId":501375,"journal":{"name":"medRxiv - Genetic and Genomic Medicine","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"medRxiv - Genetic and Genomic Medicine","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1101/2024.09.02.24312466","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We performed large-scale genome-wide gene-sleep interaction analyses of lipid levels to identify novel genetic variants underpinning the biomolecular pathways of sleep-associated lipid disturbances and to suggest possible druggable targets. We collected data from 55 cohorts with a combined sample size of 732,564 participants (87% European ancestry) with data on lipid traits (high-density lipoprotein [HDL-c] and low-density lipoprotein [LDL-c] cholesterol and triglycerides [TG]). Short (STST) and long (LTST) total sleep time were defined by the extreme 20% of the age- and sex-standardized values within each cohort. Based on cohort-level summary statistics data, we performed meta-analyses for the one-degree of freedom tests of interaction and two-degree of freedom joint tests of the main and interaction effect. In the cross-population meta-analyses, the one-degree of freedom variant-sleep interaction test identified 10 loci (Pint<5.0e-9) not previously observed for lipids. Of interest, the ASPH locus (TG, LTST) is a target for aspartic and succinic acid metabolism previously shown to improve sleep and cardiovascular risk. The two-degree of freedom analyses identified an additional 7 loci that showed evidence for variant-sleep interaction (Pjoint<5.0e-9 in combination with Pint<6.6e-6). Of these, the SLC8A1 locus (TG, STST) has been considered a potential treatment target for reduction of ischemic damage after acute myocardial infarction. Collectively, the 17 (9 with STST; 8 with LTST) loci identified in this large-scale initiative provides evidence into the biomolecular mechanisms underpinning sleep-duration-associated changes in lipid levels. The identified druggable targets may contribute to the development of novel therapies for dyslipidemia in people with sleep disturbances.
对 732,564 名参与者进行的大规模全基因组基因-睡眠相互作用研究发现了解释睡眠相关血脂紊乱的血脂基因位点
我们对血脂水平进行了大规模的全基因组基因-睡眠相互作用分析,以确定支撑睡眠相关血脂紊乱生物分子途径的新型基因变异,并提出可能的药物靶点。我们收集了 55 个队列的数据,总样本量为 732,564 人(87% 为欧洲血统),其中包括血脂特征(高密度脂蛋白 [HDL-c] 和低密度脂蛋白 [LDL-c] 胆固醇以及甘油三酯 [TG])的数据。总睡眠时间短(STST)和总睡眠时间长(LTST)由每个队列中年龄和性别标准化值的极值 20% 定义。根据队列水平的汇总统计数据,我们对交互作用进行了自由度为 1 的检验,并对主要效应和交互作用进行了自由度为 2 的联合检验。在跨人群荟萃分析中,单自由度变异-睡眠交互检验发现了 10 个以前在血脂方面未观察到的位点(Pint<5.0e-9)。值得注意的是,ASPH 基因座(TG,LTST)是天冬氨酸和琥珀酸代谢的靶点,以前曾被证明能改善睡眠和心血管风险。两自由度分析发现了另外 7 个基因位点显示了变异与睡眠相互作用的证据(Pjoint<5.0e-9 与 Pint<6.6e-6)。其中,SLC8A1 基因座(TG,STST)被认为是减少急性心肌梗塞后缺血性损伤的潜在治疗目标。总之,这项大规模研究发现的 17 个基因位点(9 个 STST 位点;8 个 LTST 位点)为研究与睡眠时间相关的血脂水平变化的生物分子机制提供了证据。已确定的可用药靶点可能有助于开发治疗睡眠障碍患者血脂异常的新型疗法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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