Evidence map›Paper›PMID 36726144›Full record

ArticleBMC medicine2023

Mendelian randomisation study of body composition and depression in people of East Asian ancestry highlights potential setting-specific causality.

Jessica O'Loughlin, Francesco Casanova, Zammy Fairhurst-Hunter, Amanda Hughes, Jack Bowden, Edward R Watkins, Rachel M Freathy, Iona Y Millwood, Kuang Lin, Zhengming Chen and 7 more

Abstract read
In one paragraph

Article in BMC medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors.

Jessica O'Loughlin *Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Francesco Casanova *Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Zammy Fairhurst-HunterClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Amanda HughesMRC Integrative Epidemiology Unit (IEU), Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.
Jack BowdenDepartment of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Edward R WatkinsDepartment of Psychology, University of Exeter, Exeter, UK.
Rachel M FreathyDepartment of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK.
Iona Y MillwoodClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Kuang LinClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Zhengming ChenClinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Liming LiDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Jun LvDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
China Kadoorie Biobank Collaborative Group
Robin G Walters *Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Laura D Howe *MRC Integrative Epidemiology Unit (IEU), Bristol Medical School, Population Health Sciences, University of Bristol, Bristol, UK.
Karoline Kuchenbaecker *Division of Psychiatry, UCL Genetics Institute, University College London, London, UK.
Jessica Tyrrell *Department of Clinical and Biomedical Sciences, Faculty of Health and Life Sciences, University of Exeter, Exeter, UK. j.tyrrell@exeter.ac.uk.

Funding

British Heart Foundation CH/1996001/9454Cancer Research UK 29186Cancer Research UK C16077/A29186Cancer Research UK C500/A16896Medical Research Council MC-PC-13049Medical Research Council MC_PC_13049Medical Research Council MC-PC-14135Medical Research Council MC_PC_14135Medical Research Council MC_U137686851Medical Research Council MC_UU_00011/1Medical Research Council MC_UU_00017/1Medical Research Council MC_UU_00032/1Medical Research Council MC_UU_12026/2Wellcome Trust 088158/Z/09/ZWellcome Trust 104085/Z/14/ZWellcome Trust 202922/Z/16/ZWellcome Trust 212946/Z/18/ZWellcome Trust WT104150Wellcome Trust WT220390
6 · The paper itself

Abstract

backgroundExtensive evidence links higher body mass index (BMI) to higher odds of depression in people of European ancestry. However, our understanding of the relationship across different settings and ancestries is limited. Here, we test the relationship between body composition and depression in people of East Asian ancestry.

methodsMultiple Mendelian randomisation (MR) methods were used to test the relationship between (a) BMI and (b) waist-hip ratio (WHR) with depression. Firstly, we performed two-sample MR using genetic summary statistics from a recent genome-wide association study (GWAS) of depression (with 15,771 cases and 178,777 controls) in people of East Asian ancestry. We selected 838 single nucleotide polymorphisms (SNPs) correlated with BMI and 263 SNPs correlated with WHR as genetic instrumental variables to estimate the causal effect of BMI and WHR on depression using the inverse-variance weighted (IVW) method. We repeated these analyses stratifying by home location status: China versus UK or USA. Secondly, we performed one-sample MR in the China Kadoorie Biobank (CKB) in 100,377 participants. This allowed us to test the relationship separately in (a) males and females and (b) urban and rural dwellers. We also examined (c) the linearity of the BMI-depression relationship.

resultsBoth MR analyses provided evidence that higher BMI was associated with lower odds of depression. For example, a genetically-instrumented 1-SD higher BMI in the CKB was associated with lower odds of depressive symptoms [OR: 0.77, 95% CI: 0.63, 0.95]. There was evidence of differences according to place of residence. Using the IVW method, higher BMI was associated with lower odds of depression in people of East Asian ancestry living in China but there was no evidence for an association in people of East Asian ancestry living in the USA or UK. Furthermore, higher genetic BMI was associated with differential effects in urban and rural dwellers within China.

conclusionsThis study provides the first MR evidence for an inverse relationship between BMI and depression in people of East Asian ancestry. This contrasts with previous findings in European populations and therefore the public health response to obesity and depression is likely to need to differ based on sociocultural factors for example, ancestry and place of residence. This highlights the importance of setting-specific causality when using genetic causal inference approaches and data from diverse populations to test hypotheses. This is especially important when the relationship tested is not purely biological and may involve sociocultural factors.

Indexed as

Body CompositionDepressionEast Asian PeopleGenome-Wide Association StudyBody Mass IndexChinaFemaleHumansMaleMendelian Randomization AnalysisObesityPolymorphism, Single NucleotideBMIDepressionEast Asian ancestryMendelian randomisationPublic healthSetting-specific causalitySociocultural factors

Identifiers

PMID36726144
PMCPMC9893684

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