Evidence map›Paper›PMID 30423117›Full record

ArticleInternational journal of epidemiology2019

Using genetics to understand the causal influence of higher BMI on depression.

Jessica Tyrrell, Anwar Mulugeta, Andrew R Wood, Ang Zhou, Robin N Beaumont, Marcus A Tuke, Samuel E Jones, Katherine S Ruth, Hanieh Yaghootkar, Seth Sharp and 9 more

Abstract read
In one paragraph

Article in International journal of epidemiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed, 7 pooled it
–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

119 citing papers in PubMed, 7 syntheses or guidelines pooled it.

  1. Pooled it
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  3. EPA guidance on lifestyle interventions for adults with severe mental illness: A meta-review of the evidence.European psychiatry : the journal of the Association of European Psychiatrists · 2024
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  7. Prevalence and correlates of major depressive disorder: a systematic review.Revista brasileira de psiquiatria (Sao Paulo, Brazil : 1999)
    Pooled it
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59 more citing papers are in PubMed but not listed here.

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

19 authors.

Jessica TyrrellGenetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK.
Anwar MulugetaAustralian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, SA, Australia.
Andrew R WoodGenetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK.
Ang ZhouAustralian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, SA, Australia.
Robin N BeaumontGenetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK.
Marcus A TukeGenetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK.
Samuel E JonesGenetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK.
Katherine S RuthGenetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK.
Hanieh YaghootkarGenetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK.
Seth SharpGenetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK.
William D ThompsonGenetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK.
Yingjie JiGenetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK.
Jamie HarrisonGenetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK.
Rachel M FreathyGenetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK.
Anna MurrayGenetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK.
Michael N WeedonGenetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK.
Cathryn LewisSocial, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Timothy M FraylingGenetics of Complex Traits, University of Exeter Medical School, Royal Devon & Exeter Hospital, Exeter, UK.
Elina HyppönenAustralian Centre for Precision Health, University of South Australia Cancer Research Institute, Adelaide, SA, Australia.

Funding

Department of HealthMedical Research Council MC_PC_17228Medical Research Council MC_QA137853Medical Research Council MR/M005070/1Wellcome TrustWellcome Trust 104150/Z/14/ZWellcome Trust WT097835MF
6 · The paper itself

Abstract

backgroundDepression is more common in obese than non-obese individuals, especially in women, but the causal relationship between obesity and depression is complex and uncertain. Previous studies have used genetic variants associated with BMI to provide evidence that higher body mass index (BMI) causes depression, but have not tested whether this relationship is driven by the metabolic consequences of BMI nor for differences between men and women.

methodsWe performed a Mendelian randomization study using 48 791 individuals with depression and 291 995 controls in the UK Biobank, to test for causal effects of higher BMI on depression (defined using self-report and Hospital Episode data). We used two genetic instruments, both representing higher BMI, but one with and one without its adverse metabolic consequences, in an attempt to 'uncouple' the psychological component of obesity from the metabolic consequences. We further tested causal relationships in men and women separately, and using subsets of BMI variants from known physiological pathways.

resultsHigher BMI was strongly associated with higher odds of depression, especially in women. Mendelian randomization provided evidence that higher BMI partly causes depression. Using a 73-variant BMI genetic risk score, a genetically determined one standard deviation (1 SD) higher BMI (4.9 kg/m2) was associated with higher odds of depression in all individuals [odds ratio (OR): 1.18, 95% confidence interval (CI): 1.09, 1.28, P = 0.00007) and women only (OR: 1.24, 95% CI: 1.11, 1.39, P = 0.0001). Meta-analysis with 45 591 depression cases and 97 647 controls from the Psychiatric Genomics Consortium (PGC) strengthened the statistical confidence of the findings in all individuals. Similar effect size estimates were obtained using different Mendelian randomization methods, although not all reached P < 0.05. Using a metabolically favourable adiposity genetic risk score, and meta-analysing data from the UK biobank and PGC, a genetically determined 1 SD higher BMI (4.9 kg/m2) was associated with higher odds of depression in all individuals (OR: 1.26, 95% CI: 1.06, 1.50], P = 0.010), but with weaker statistical confidence.

conclusionsHigher BMI, with and without its adverse metabolic consequences, is likely to have a causal role in determining the likelihood of an individual developing depression.

Indexed as

Body Mass IndexAdultAgedCausalityDepressive DisorderFemaleHumansMaleMendelian Randomization AnalysisMiddle AgedObesityObesity, Metabolically BenignUnited KingdomBody mass indexdepressionMendelian randomizationUK Biobank

Identifiers

PMID30423117
PMCPMC6659462

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.