Literature DB >> 33004418

Short or Long Sleep Duration and CKD: A Mendelian Randomization Study.

Sehoon Park1,2, Soojin Lee3,4, Yaerim Kim5, Yeonhee Lee3,4, Min Woo Kang3,4, Kwangsoo Kim6, Yong Chul Kim7, Seung Seok Han3,8, Hajeong Lee3, Jung Pyo Lee3,8,9, Kwon Wook Joo3,4,8, Chun Soo Lim3,8,9, Yon Su Kim10,3,4,8, Dong Ki Kim7,4,8.   

Abstract

BACKGROUND: Studies have found sleeping behaviors, such as sleep duration, to be associated with kidney function and cardiovascular disease risk. However, whether short or long sleep duration is a causative factor for kidney function impairment has been rarely studied.
METHODS: We studied data from participants aged 40-69 years in the UK Biobank prospective cohort, including 25,605 self-reporting short-duration sleep (<6 hours per 24 hours), 404,550 reporting intermediate-duration sleep (6-8 hours), and 35,659 reporting long-duration sleep (≥9 hours) in the clinical analysis. Using logistic regression analysis, we investigated the observational association between the sleep duration group and prevalent CKD stages 3-5, analyzed by logistic regression analysis. We performed Mendelian randomization (MR) analysis involving 321,260 White British individuals using genetic instruments (genetic variants linked with short- or long-duration sleep behavior as instrumental variables). We performed genetic risk score analysis as a one-sample MR and extended the finding with a two-sample MR analysis with CKD outcome information from the independent CKDGen Consortium genome-wide association study meta-analysis.
RESULTS: Short or long sleep duration clinically associated with higher prevalence of CKD compared with intermediate duration. The genetic risk score for short (but not long) sleep was significantly related to CKD (per unit reflecting a two-fold increase in the odds of the phenotype; adjusted odds ratio, 1.80; 95% confidence interval, 1.25 to 2.60). Two-sample MR analysis demonstrated causal effects of short sleep duration on CKD by the inverse variance weighted method, supported by causal estimates from MR-Egger regression.
CONCLUSIONS: These findings support an adverse effect of a short sleep duration on kidney function. Clinicians may encourage patients to avoid short-duration sleeping behavior to reduce CKD risk.
Copyright © 2020 by the American Society of Nephrology.

Entities:  

Keywords:  Mendelian randomization; chronic kidney disease; end-stage kidney disease; genetic risk score; sleep

Year:  2020        PMID: 33004418      PMCID: PMC7790216          DOI: 10.1681/ASN.2020050666

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   10.121


  31 in total

1.  Association of short sleep duration and rapid decline in renal function.

Authors:  Ciaran J McMullan; Gary C Curhan; John P Forman
Journal:  Kidney Int       Date:  2016-03-25       Impact factor: 10.612

2.  Sleep-disordered breathing and excessive daytime sleepiness in chronic kidney disease and hemodialysis.

Authors:  Maria-Eleni Roumelioti; Daniel J Buysse; Mark H Sanders; Patrick Strollo; Anne B Newman; Mark L Unruh
Journal:  Clin J Am Soc Nephrol       Date:  2011-03-24       Impact factor: 8.237

3.  Sleep Duration and Myocardial Infarction.

Authors:  Iyas Daghlas; Hassan S Dashti; Jacqueline Lane; Krishna G Aragam; Martin K Rutter; Richa Saxena; Céline Vetter
Journal:  J Am Coll Cardiol       Date:  2019-09-10       Impact factor: 24.094

4.  High incidence of diabetes in men with sleep complaints or short sleep duration: a 12-year follow-up study of a middle-aged population.

Authors:  Lena Mallon; Jan-Erik Broman; Jerker Hetta
Journal:  Diabetes Care       Date:  2005-11       Impact factor: 19.112

5.  Sleep duration and body mass index in twins: a gene-environment interaction.

Authors:  Nathaniel F Watson; Kathryn Paige Harden; Dedra Buchwald; Michael V Vitiello; Allan I Pack; David S Weigle; Jack Goldberg
Journal:  Sleep       Date:  2012-05-01       Impact factor: 5.849

6.  National Sleep Foundation's updated sleep duration recommendations: final report.

Authors:  Max Hirshkowitz; Kaitlyn Whiton; Steven M Albert; Cathy Alessi; Oliviero Bruni; Lydia DonCarlos; Nancy Hazen; John Herman; Paula J Adams Hillard; Eliot S Katz; Leila Kheirandish-Gozal; David N Neubauer; Anne E O'Donnell; Maurice Ohayon; John Peever; Robert Rawding; Ramesh C Sachdeva; Belinda Setters; Michael V Vitiello; J Catesby Ware
Journal:  Sleep Health       Date:  2015-10-31

7.  A catalog of genetic loci associated with kidney function from analyses of a million individuals.

Authors:  Matthias Wuttke; Yong Li; Man Li; Karsten B Sieber; Mary F Feitosa; Mathias Gorski; Adrienne Tin; Lihua Wang; Audrey Y Chu; Anselm Hoppmann; Holger Kirsten; Ayush Giri; Jin-Fang Chai; Gardar Sveinbjornsson; Bamidele O Tayo; Teresa Nutile; Christian Fuchsberger; Jonathan Marten; Massimiliano Cocca; Sahar Ghasemi; Yizhe Xu; Katrin Horn; Damia Noce; Peter J van der Most; Sanaz Sedaghat; Zhi Yu; Masato Akiyama; Saima Afaq; Tarunveer S Ahluwalia; Peter Almgren; Najaf Amin; Johan Ärnlöv; Stephan J L Bakker; Nisha Bansal; Daniela Baptista; Sven Bergmann; Mary L Biggs; Ginevra Biino; Michael Boehnke; Eric Boerwinkle; Mathilde Boissel; Erwin P Bottinger; Thibaud S Boutin; Hermann Brenner; Marco Brumat; Ralph Burkhardt; Adam S Butterworth; Eric Campana; Archie Campbell; Harry Campbell; Mickaël Canouil; Robert J Carroll; Eulalia Catamo; John C Chambers; Miao-Ling Chee; Miao-Li Chee; Xu Chen; Ching-Yu Cheng; Yurong Cheng; Kaare Christensen; Renata Cifkova; Marina Ciullo; Maria Pina Concas; 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Kozeta Miliku; Pashupati P Mishra; Karen L Mohlke; Nina Mononen; Grant W Montgomery; Dennis O Mook-Kanamori; Josyf C Mychaleckyj; Girish N Nadkarni; Mike A Nalls; Matthias Nauck; Kjell Nikus; Boting Ning; Ilja M Nolte; Raymond Noordam; Jeffrey O'Connell; Michelle L O'Donoghue; Isleifur Olafsson; Albertine J Oldehinkel; Marju Orho-Melander; Willem H Ouwehand; Sandosh Padmanabhan; Nicholette D Palmer; Runolfur Palsson; Brenda W J H Penninx; Thomas Perls; Markus Perola; Mario Pirastu; Nicola Pirastu; Giorgio Pistis; Anna I Podgornaia; Ozren Polasek; Belen Ponte; David J Porteous; Tanja Poulain; Peter P Pramstaller; Michael H Preuss; Bram P Prins; Michael A Province; Ton J Rabelink; Laura M Raffield; Olli T Raitakari; Dermot F Reilly; Rainer Rettig; Myriam Rheinberger; Kenneth M Rice; Paul M Ridker; Fernando Rivadeneira; Federica Rizzi; David J Roberts; Antonietta Robino; Peter Rossing; Igor Rudan; Rico Rueedi; Daniela Ruggiero; Kathleen A Ryan; Yasaman Saba; Charumathi Sabanayagam; Veikko Salomaa; Erika Salvi; Kai-Uwe Saum; Helena Schmidt; Reinhold Schmidt; Ben Schöttker; Christina-Alexandra Schulz; Nicole Schupf; Christian M Shaffer; Yuan Shi; Albert V Smith; Blair H Smith; Nicole Soranzo; Cassandra N Spracklen; Konstantin Strauch; Heather M Stringham; Michael Stumvoll; Per O Svensson; Silke Szymczak; E-Shyong Tai; Salman M Tajuddin; Nicholas Y Q Tan; Kent D Taylor; Andrej Teren; Yih-Chung Tham; Joachim Thiery; Chris H L Thio; Hauke Thomsen; Gudmar Thorleifsson; Daniela Toniolo; Anke Tönjes; Johanne Tremblay; Ioanna Tzoulaki; André G Uitterlinden; Simona Vaccargiu; Rob M van Dam; Pim van der Harst; Cornelia M van Duijn; Digna R Velez Edward; Niek Verweij; Suzanne Vogelezang; Uwe Völker; Peter Vollenweider; Gerard Waeber; Melanie Waldenberger; Lars Wallentin; Ya Xing Wang; Chaolong Wang; Dawn M Waterworth; Wen Bin Wei; Harvey White; John B Whitfield; Sarah H Wild; James F Wilson; Mary K Wojczynski; Charlene Wong; Tien-Yin Wong; Liang Xu; Qiong Yang; Masayuki Yasuda; Laura M Yerges-Armstrong; Weihua Zhang; Alan B Zonderman; Jerome I Rotter; Murielle Bochud; Bruce M Psaty; Veronique Vitart; James G Wilson; Abbas Dehghan; Afshin Parsa; Daniel I Chasman; Kevin Ho; Andrew P Morris; Olivier Devuyst; Shreeram Akilesh; Sarah A Pendergrass; Xueling Sim; Carsten A Böger; Yukinori Okada; Todd L Edwards; Harold Snieder; Kari Stefansson; Adriana M Hung; Iris M Heid; Markus Scholz; Alexander Teumer; Anna Köttgen; Cristian Pattaro
Journal:  Nat Genet       Date:  2019-05-31       Impact factor: 38.330

8.  Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique.

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Journal:  Int J Epidemiol       Date:  2016-12-01       Impact factor: 7.196

9.  Comparison of Sociodemographic and Health-Related Characteristics of UK Biobank Participants With Those of the General Population.

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Journal:  Am J Epidemiol       Date:  2017-11-01       Impact factor: 4.897

10.  Bias due to participant overlap in two-sample Mendelian randomization.

Authors:  Stephen Burgess; Neil M Davies; Simon G Thompson
Journal:  Genet Epidemiol       Date:  2016-09-14       Impact factor: 2.135

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7.  Community-based screening to determine the prevalence, health and nutritional status of patients with CKD in rural and peri-urban Bangladesh.

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