A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations (2024)

Million Veteran Program, Nagarajan, P., Winkler, T. W., Bentley, A. R., Miller, C. L., Kraja, A. T., Schwander, K., Lee, S., Wang, W., Brown, M. R., Morrison, J. L., Giri, A., O'Connell, J. R., Bartz, T. M., de Las Fuentes, L., Gudmundsdottir, V., Guo, X., Harris, S. E., Huang, Z., ... Snieder, H. (2024). A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations. (medRxiv : the preprint server for health sciences). MedRxiv. https://doi.org/10.1101/2024.03.07.24303870

Million Veteran Program ; Nagarajan, Pavithra ; Winkler, Thomas W et al. / A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations. MedRxiv, 2024. (medRxiv : the preprint server for health sciences).

@techreport{b447d092f3f64e65af0e8dc77dec5ac8,

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

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.",

author = "{Million Veteran Program} and Pavithra Nagarajan and Winkler, {Thomas W} and Bentley, {Amy R} and Miller, {Clint L} and Kraja, {Aldi T} and Karen Schwander and Songmi Lee and Wenyi Wang and Brown, {Michael R} and Morrison, {John L} and Ayush Giri and O'Connell, {Jeffrey R} and Bartz, {Traci M} and {de Las Fuentes}, Lisa and Valborg Gudmundsdottir and Xiuqing Guo and Harris, {Sarah E} and Zhijie Huang and Mart Kals and Minjung Kho and Christophe Lefevre and Jian'an Luan and Leo-Pekka Lyytik{\"a}inen and Massimo Mangino and Yuri Milaneschi and Palmer, {Nicholette D} and Varun Rao and Rainer Rauramaa and Botong Shen and Stefan Stadler and Quan Sun and Jingxian Tang and S{\'e}bastien Th{\'e}riault and {van der Graaf}, Adriaan and {van der Most}, {Peter J} and Yujie Wang and Stefan Weiss and Westerman, {Kenneth E} and Qian Yang and Tabara Yasuharu and Wei Zhao and Wanying Zhu and Drew Altschul and Ansari, {Md Abu Yusuf} and Argoty-Pantoja, {Anna D} and Zekai Chen and {de Vries}, {Paul S} and Nolte, {Ilja M} and Penninx, {Brenda Wjh} and Harold Snieder",

year = "2024",

month = mar,

day = "8",

doi = "10.1101/2024.03.07.24303870",

language = "English",

series = "medRxiv : the preprint server for health sciences",

publisher = "MedRxiv",

type = "WorkingPaper",

institution = "MedRxiv",

}

Million Veteran Program, 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, L-P, 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, Argoty-Pantoja, AD, Chen, Z, de Vries, PS, Nolte, IM, Penninx, BW 2024 'A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations' medRxiv : the preprint server for health sciences, MedRxiv. https://doi.org/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. / Million Veteran Program; Nagarajan, Pavithra; Winkler, Thomas W et al.
MedRxiv, 2024. (medRxiv : the preprint server for health sciences).

Research output: Working paper › Preprint › Academic

TY - UNPB

T1 - A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations

AU - Million Veteran Program

AU - Nagarajan, Pavithra

AU - Winkler, Thomas W

AU - Bentley, Amy R

AU - Miller, Clint L

AU - Kraja, Aldi T

AU - Schwander, Karen

AU - Lee, Songmi

AU - Wang, Wenyi

AU - Brown, Michael R

AU - Morrison, John L

AU - Giri, Ayush

AU - O'Connell, Jeffrey R

AU - Bartz, Traci M

AU - de Las Fuentes, Lisa

AU - Gudmundsdottir, Valborg

AU - Guo, Xiuqing

AU - Harris, Sarah E

AU - Huang, Zhijie

AU - Kals, Mart

AU - Kho, Minjung

AU - Lefevre, Christophe

AU - Luan, Jian'an

AU - Lyytikäinen, Leo-Pekka

AU - Mangino, Massimo

AU - Milaneschi, Yuri

AU - Palmer, Nicholette D

AU - Rao, Varun

AU - Rauramaa, Rainer

AU - Shen, Botong

AU - Stadler, Stefan

AU - Sun, Quan

AU - Tang, Jingxian

AU - Thériault, Sébastien

AU - van der Graaf, Adriaan

AU - van der Most, Peter J

AU - Wang, Yujie

AU - Weiss, Stefan

AU - Westerman, Kenneth E

AU - Yang, Qian

AU - Yasuharu, Tabara

AU - Zhao, Wei

AU - Zhu, Wanying

AU - Altschul, Drew

AU - Ansari, Md Abu Yusuf

AU - Argoty-Pantoja, Anna D

AU - Chen, Zekai

AU - de Vries, Paul S

AU - Nolte, Ilja M

AU - Penninx, Brenda Wjh

AU - Snieder, Harold

PY - 2024/3/8

Y1 - 2024/3/8

N2 - 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.

AB - 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.

U2 - 10.1101/2024.03.07.24303870

DO - 10.1101/2024.03.07.24303870

M3 - Preprint

C2 - 38496537

T3 - medRxiv : the preprint server for health sciences

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

PB - MedRxiv

ER -

Million Veteran Program, Nagarajan P, Winkler TW, Bentley AR, Miller CL, Kraja AT et al. A Large-Scale Genome-Wide Study of Gene-Sleep Duration Interactions for Blood Pressure in 811,405 Individuals from Diverse Populations. MedRxiv. 2024 Mar 8. (medRxiv : the preprint server for health sciences). doi: 10.1101/2024.03.07.24303870