Evidence map›Paper›PMID 40055374›Full record

ArticleScientific reports2025

Investigating whether smoking and alcohol behaviours influence risk of type 2 diabetes using a Mendelian randomisation study.

Zoe E Reed, Hannah M Sallis, Rebecca C Richmond, Angela S Attwood, Deborah A Lawlor, Marcus R Munafò

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Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Zoe E ReedSchool of Psychological Science, University of Bristol, Bristol, UK. zoe.reed@bristol.ac.uk.
Hannah M SallisMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Rebecca C RichmondMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Angela S AttwoodSchool of Psychological Science, University of Bristol, Bristol, UK.
Deborah A LawlorMRC Integrative Epidemiology Unit, University of Bristol, Bristol, UK.
Marcus R MunafòSchool of Psychological Science, University of Bristol, Bristol, UK.

Funding

British Heart Foundation AA/18/1/34219British Heart Foundation CH/F/20/90003Cancer Research UK C18281/A29019European Research Council 758813 MHINTMedical Research Council MC_UU_00032/5Medical Research Council MC_UU_00032/7
6 · The paper itself

Abstract

Previous studies suggest that smoking and higher alcohol consumption are associated with greater type 2 diabetes (T2D) risk. However, studies examining whether this reflects causal relationships are limited and often do not consider continuous glycaemic traits. We conducted both two-sample and one-sample Mendelian randomisation (MR), using publicly available GWAS data and UK Biobank data, respectively, to examine the potential causal effects of lifetime smoking index (LSI) and alcoholic drinks per week (DPW) on T2D and continuous traits (fasting glucose, fasting insulin and glycated haemoglobin, HbA1c). Two-sample MR results suggested possible causal effects of higher LSI on T2D risk (OR per 1SD higher LSI: 1.42, 95% CI 1.22 to 1.64); however, sensitivity analyses did not consistently support this finding. There was no robust evidence that higher DPW influenced T2D risk (OR per 1 SD higher log-transformed DPW: 1.04, 95% CI 0.40 to 2.65). There was evidence of a potential causal effect on higher fasting glucose (difference in mean fasting glucose in mmol/l per 1SD higher log-transformed DPW: 0.34, 95% CI 0.09 to 0.59), though, this was attenuated when accounting for body mass index (BMI), suggesting BMI confounding might explain the potential effect. One-sample MR results suggested a possible causal effect of higher DPW on T2D risk (OR per 1 SD higher log-transformed DPW: 1.71, 95% CI 1.24 to 2.36), but lower HbA1c levels (difference in mean SD of log transformed HbA1c (mmol/mol) per 1 SD higher log-transformed DPW: -0.07, 95% CI -0.11 to -0.02). Our results suggest effective public health interventions to prevent and/or reduce smoking and alcohol consumption are unlikely to reduce T2D prevalence.

Indexed as

Alcohol DrinkingDiabetes Mellitus, Type 2SmokingBlood GlucoseFemaleGenome-Wide Association StudyGlycated HemoglobinHumansMaleMendelian Randomization AnalysisMiddle AgedPolymorphism, Single NucleotideRisk FactorsBlood GlucoseGlycated HemoglobinAlcoholGlycaemic traitsMendelian randomisationSmokingType 2 diabetesUK Biobank

Identifiers

PMID40055374
PMCPMC11889105

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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.