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[Preprint]. 2024 Mar 8:2024.03.07.24303870.
doi: 10.1101/2024.03.07.24303870.

A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations

Pavithra Nagarajan  1 Thomas W Winkler  2 Amy R Bentley  3 Clint L Miller  4   5 Aldi T Kraja  6 Karen Schwander  7 Songmi Lee  8 Wenyi Wang  9 Michael R Brown  10 John L Morrison  11 Ayush Giri  12   13 Jeffrey R O'Connell  14 Traci M Bartz  15   16 Lisa de Las Fuentes  17   18 Valborg Gudmundsdottir  19   20 Xiuqing Guo  21 Sarah E Harris  22 Zhijie Huang  23 Mart Kals  24 Minjung Kho  25 Christophe Lefevre  26 Jian'an Luan  27 Leo-Pekka Lyytikäinen  28   29 Massimo Mangino  30   31 Yuri Milaneschi  32   33 Nicholette D Palmer  34 Varun Rao  35 Rainer Rauramaa  36 Botong Shen  37 Stefan Stadler  38 Quan Sun  39 Jingxian Tang  40 Sébastien Thériault  41 Adriaan van der Graaf  42 Peter J van der Most  43 Yujie Wang  44 Stefan Weiss  45   46 Kenneth E Westerman  47   48 Qian Yang  49   50 Tabara Yasuharu  51   52 Wei Zhao  53   54 Wanying Zhu  55 Drew Altschul  22 Md Abu Yusuf Ansari  56 Pramod Anugu  57 Anna D Argoty-Pantoja  43 Michael Arzt  38 Hugues Aschard  58   59 John R Attia  60 Lydia Bazzanno  23 Max A Breyer  55 Jennifer A Brody  15 Brian E Cade  1   47 Hung-Hsin Chen  55 Yii-Der Ida Chen  21 Zekai Chen  43 Paul S de Vries  10 Latchezar M Dimitrov  34 Anh Do  18 Jiawen Du  39 Charles T Dupont  61 Todd L Edwards  13   62 Michele K Evans  37 Tariq Faquih  1   47 Stephan B Felix  46   63 Susan P Fisher-Hoch  64 James S Floyd  15   65 Mariaelisa Graff  44 Charles Gu  18 Dongfeng Gu  66 Kristen G Hairston  67 Anthony J Hanley  68 Iris M Heid  2 Sami Heikkinen  69 Heather M Highland  44 Michelle M Hood  54 Mika Kähönen  29   70 Carrie A Karvonen-Gutierrez  54 Takahisa Kawaguchi  52 Setoh Kazuya  51 Tanika N Kelly  35 Pirjo Komulainen  36 Daniel Levy  71   72 Henry J Lin  21 Peter Y Liu  21 Pedro Marques-Vidal  73   74 Joseph B McCormick  64 Hao Mei  56 James B Meigs  47   75 Cristina Menni  30 Kisung Nam  25 Ilja M Nolte  43 Natasha L Pacheco  37 Lauren E Petty  55 Hannah G Polikowsky  55 Michael A Province  7 Bruce M Psaty  15   65 Laura M Raffield  76 Olli T Raitakari  77   78   79 Stephen S Rich  80   81 Renata L Riha  82 Lorenz Risch  83   84 Martin Risch  85   86 Edward A Ruiz-Narvaez  87 Rodney J Scott  88 Colleen M Sitlani  15 Jennifer A Smith  53   54 Tamar Sofer  1   89 Maris Teder-Laving  24 Uwe Völker  45   46 Peter Vollenweider  73   74 Guanchao Wang  61 Ko Willems van Dijk  9   90 Otis D Wilson  13   91 Rui Xia  8 Jie Yao  21 Kristin L Young  44 Ruiyuan Zhang  23 Xiaofeng Zhu  92 Jennifer E Below  55 Carsten A Böger  93   94   95 David Conen  96 Simon R Cox  22 Marcus Dörr  46   63 Mary F Feitosa  7 Ervin R Fox  97 Nora Franceschini  44 Sina A Gharib  98 Vilmundur Gudnason  19   20 Sioban D Harlow  54 Jiang He  23   99 Elizabeth G Holliday  60 Zoltan Kutalik  42   100 Timo A Lakka  69   101   102 Deborah A Lawlor  49   50 Seunggeun Lee  25 Terho Lehtimäki  28   29 Changwei Li  23 Ching-Ti Liu  40 Reedik Mägi  24 Fumihiko Matsuda  52 Alanna C Morrison  10 Brenda Wjh Penninx  32   33 Patricia A Peyser  54 Jerome I Rotter  21 Harold Snieder  43 Tim D Spector  30 Lynne E Wagenknecht  103 Nicholas J Wareham  27 Alan B Zonderman  37 Kari E North  44 Myriam Fornage  8   10 Million Veteran ProgramAdriana M Hung  13   92 Alisa K Manning  104   105 James Gauderman  11 Han Chen  10   106 Patricia B Munroe  107 Dabeeru C Rao  18 Diana van Heemst  108 Susan Redline  1   47 Raymond Noordam  108 Heming Wang  1   47
Affiliations

A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations

Pavithra Nagarajan et al. medRxiv. .

Update in

  • A large-scale genome-wide study of gene-sleep duration interactions for blood pressure in 811,405 individuals from diverse populations.
    Nagarajan P, Winkler TW, Bentley AR, Miller CL, Kraja AT, Schwander K, Lee S, Wang W, Brown MR, Morrison JL, Giri A, O'Connell JR, Bartz TM, de Las Fuentes L, Gudmundsdottir V, Guo X, Harris SE, Huang Z, Kals M, Kho M, Lefevre C, Luan J, Lyytikäinen LP, Mangino M, Milaneschi Y, Palmer ND, Rao V, Rauramaa R, Shen B, Stadler S, Sun Q, Tang J, Thériault S, van der Graaf A, van der Most PJ, Wang Y, Weiss S, Westerman KE, Yang Q, Yasuharu T, Zhao W, Zhu W, Altschul D, Ansari MAY, Anugu P, Argoty-Pantoja AD, Arzt M, Aschard H, Attia JR, Bazzanno L, Breyer MA, Brody JA, Cade BE, Chen HH, Chen YI, Chen Z, de Vries PS, Dimitrov LM, Do A, Du J, Dupont CT, Edwards TL, Evans MK, Faquih T, Felix SB, Fisher-Hoch SP, Floyd JS, Graff M, Gu C, Gu D, Hairston KG, Hanley AJ, Heid IM, Heikkinen S, Highland HM, Hood MM, Kähönen M, Karvonen-Gutierrez CA, Kawaguchi T, Kazuya S, Kelly TN, Komulainen P, Levy D, Lin HJ, Liu PY, Marques-Vidal P, McCormick JB, Mei H, Meigs JB, Menni C, Nam K, Nolte IM, Pacheco NL, Petty LE, Polikowsky HG, Province MA, Psaty BM, Raffield LM, Raitakari OT, Rich SS, Riha RL, Risch L, Risch M, Ruiz-Narvaez EA, Scott RJ, Sitlani CM, Smith JA, Sofer T, Teder-Laving M, Völker U, Vo… See abstract for full author list ➔ Nagarajan P, et al. Mol Psychiatry. 2025 Aug;30(8):3660-3672. doi: 10.1038/s41380-025-02954-w. Epub 2025 Apr 4. Mol Psychiatry. 2025. PMID: 40181193

Abstract

Although both short and long sleep duration are associated with elevated hypertension risk, our understanding of their interplay with biological pathways governing blood pressure remains limited. To address this, we carried out genome-wide cross-population gene-by-short-sleep and long-sleep duration interaction analyses for three blood pressure traits (systolic, diastolic, and pulse pressure) in 811,405 individuals from diverse population groups. We discover 22 novel gene-sleep duration interaction loci for blood pressure, mapped to genes involved in neurological, thyroidal, bone metabolism, and hematopoietic pathways. Non-overlap between short sleep (12) and long sleep (10) interactions underscores the plausibility of distinct influences of both sleep duration extremes in cardiovascular health. With several of our loci reflecting specificity towards population background or sex, our discovery sheds light on the importance of embracing granularity when addressing heterogeneity entangled in gene-environment interactions, and in therapeutic design approaches for blood pressure management.

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Conflict of interest statement

Conflict of Interest/Disclosures: C.L.M. has received funding from AstraZeneca not related to the current study. B.M.P. serves on the steering committee of the Yale Open Data Access Project funded by Johnson & Johnson. D.C. receives consultancy fees from Roche Diagnostics and Trimedics and speaker fees from Servier. D.A.L. has received support from Medtronic LTD and Roche Diagnostics for biomarker research not related to the current study. The remaining authors declare no competing interests.

Figures

Figure 1.
Figure 1.
Analysis Workflow
Figure 2.
Figure 2.
Forest Plots of Gene-Sleep Duration Loci Identified by the 1df Interaction Test in Female-Specific Cross-Population Meta-Analyses. These are the prioritized 1df Interaction Test results from female-specific cross-population meta-analyses. Contributing female-specific population groups’ (if this variant is found in the particular population group, after quality control) summary statistics are depicted here that were pooled.
Figure 3.
Figure 3.
Forest Plots of Gene-Sleep Duration Loci Identified by the 1df Interaction Test in Combined Sex HIS-Specific Meta-Analyses These are the prioritized 1df Interaction Test results from HIS-specific meta-analyses. Other population group data (if this variant is found in the particular population group, after quality control) are shown here to emphasize that these gene-sleep duration interaction loci were significant only in the HIS population group.

References

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