Literature DB >> 35543713

Basal metabolic rate and risk of multiple sclerosis: a Mendelian randomization study.

Chunxin Liu1, Yaxin Lu2, Jingjing Chen2, Wei Qiu1, Yiqiang Zhan3,4, Zifeng Liu5.   

Abstract

To determine the relationship between basal metabolic rate (BMR) and multiple sclerosis (MS) susceptibility, we analyzed genome-wide association study (GWAS) summary statistics data from the International Multiple Sclerosis Genetics Consortium on a total of 115,803 participants of European descent, including 47,429 patients with MS and 68,374 controls. We selected 378 independent genetic variants strongly associated with BMR in a GWAS involving 454,874 participants as instrumental variables to examine a potential causal relationship between BMR and MS. A genetically predicted higher BMR was associated with a greater risk of MS (odds ratio [OR]: 1.283 per one standard deviation increase in BMR, 95% confidence interval [CI]: 1.108-1.486, P = 0.001). Moreover, we used the lasso method to eliminate heterogeneity (Q statistic = 384.58, P = 0.370). There was no pleiotropy in our study and no bias was found in the sensitivity analysis using the leave-one-out test. We provide novel evidence that a higher BMR is an independent causal risk factor in the development of MS. Further work is warranted to elucidate the potential mechanisms.
© 2022. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Basal metabolic rate; Genome-wide association study; Mendelian randomization; Multiple sclerosis

Mesh:

Year:  2022        PMID: 35543713     DOI: 10.1007/s11011-022-00973-y

Source DB:  PubMed          Journal:  Metab Brain Dis        ISSN: 0885-7490            Impact factor:   3.655


  28 in total

1.  Calculating statistical power in Mendelian randomization studies.

Authors:  Marie-Jo A Brion; Konstantin Shakhbazov; Peter M Visscher
Journal:  Int J Epidemiol       Date:  2013-10       Impact factor: 7.196

2.  Induction of myelination in the central nervous system by electrical activity.

Authors:  C Demerens; B Stankoff; M Logak; P Anglade; B Allinquant; F Couraud; B Zalc; C Lubetzki
Journal:  Proc Natl Acad Sci U S A       Date:  1996-09-03       Impact factor: 11.205

3.  Does basal metabolic rate predict weight gain?

Authors:  Pimjai Anthanont; Michael D Jensen
Journal:  Am J Clin Nutr       Date:  2016-08-31       Impact factor: 7.045

4.  Vitamin D as an early predictor of multiple sclerosis activity and progression.

Authors:  Alberto Ascherio; Kassandra L Munger; Rick White; Karl Köchert; Kelly Claire Simon; Chris H Polman; Mark S Freedman; Hans-Peter Hartung; David H Miller; Xavier Montalbán; Gilles Edan; Frederik Barkhof; Dirk Pleimes; Ernst-Wilhelm Radü; Rupert Sandbrink; Ludwig Kappos; Christoph Pohl
Journal:  JAMA Neurol       Date:  2014-03       Impact factor: 18.302

5.  The decoupled nature of basal metabolic rate and body temperature in endotherm evolution.

Authors:  Jorge Avaria-Llautureo; Cristián E Hernández; Enrique Rodríguez-Serrano; Chris Venditti
Journal:  Nature       Date:  2019-08-15       Impact factor: 49.962

Review 6.  The initiation and prevention of multiple sclerosis.

Authors:  Alberto Ascherio; Kassandra L Munger; Jan D Lünemann
Journal:  Nat Rev Neurol       Date:  2012-10-09       Impact factor: 42.937

7.  A framework for the investigation of pleiotropy in two-sample summary data Mendelian randomization.

Authors:  Jack Bowden; Fabiola Del Greco M; Cosetta Minelli; George Davey Smith; Nuala Sheehan; John Thompson
Journal:  Stat Med       Date:  2017-01-23       Impact factor: 2.373

Review 8.  The role of puberty in the developing adolescent brain.

Authors:  Sarah-Jayne Blakemore; Stephanie Burnett; Ronald E Dahl
Journal:  Hum Brain Mapp       Date:  2010-06       Impact factor: 5.038

9.  Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator.

Authors:  Jack Bowden; George Davey Smith; Philip C Haycock; Stephen Burgess
Journal:  Genet Epidemiol       Date:  2016-04-07       Impact factor: 2.135

10.  Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians.

Authors:  Neil M Davies; Michael V Holmes; George Davey Smith
Journal:  BMJ       Date:  2018-07-12
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