ArticleDiabetologia2020
An atlas on risk factors for type 2 diabetes: a wide-angled Mendelian randomisation study.
Article in Diabetologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 9 of them syntheses that pooled it.
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Who cites it
123 citing papers in PubMed, 9 syntheses or guidelines pooled it, 233 citations in OpenAlex.
- Plasma proteins and onset of type 2 diabetes and diabetic complications: Proteome-wide Mendelian randomization and colocalization analyses.Cell reports. Medicine · 2023Pooled it
- Prevalence of Diabetes in Patients with Hyperuricemia and Gout: A Systematic Review and Meta-analysis.Current diabetes reports · 2023Pooled it
- Tools for assessing quality and risk of bias in Mendelian randomization studies: a systematic review.International journal of epidemiology · 2023Pooled it
- Pooled it
- Multi-ancestry genome-wide association study of gestational diabetes mellitus highlights genetic links with type 2 diabetes.Human molecular genetics · 2022Pooled it
- Lifestyle and metabolic factors for nonalcoholic fatty liver disease: Mendelian randomization study.European journal of epidemiology · 2022Pooled it
- Alcohol consumption in relation to cardiovascular diseases and mortality: a systematic review of Mendelian randomization studies.European journal of epidemiology · 2022Pooled it
- Causal role of high body mass index in multiple chronic diseases: a systematic review and meta-analysis of Mendelian randomization studies.BMC medicine · 2021Pooled it
- Adolescent and Childhood Obesity and Excess Morbidity and Mortality in Young Adulthood-a Systematic Review.Current obesity reports · 2021Pooled it
- Cardiometabolic risk factors are affected by interaction between FADS1 rs174556 variant and dietary vegetable oils in patients with diabetes: a randomized controlled trial.Scientific reports · 2024Trial
- A Bayesian network model of new-onset diabetes in older Chinese: The Guangzhou biobank cohort study.Frontiers in endocrinology · 2022Trial
- Sleep Improvement for Metabolic Health: A Feasibility Trial of a Digital Sleep Treatment in People With Insomnia and Non-Diabetic Hyperglycaemia.Journal of sleep research · 2026Article
- Type 2 diabetes in BRICS countries from 1990 to 2023: burden, trends and complementary Mendelian randomization evidence.Endocrine · 2026Article
- Capturing multi-disease states on a spectrum with machine learning and routine clinical data.Med (New York, N.Y.) · 2026Article
- Bidirectional causal association between cathepsins and neuropsychiatric disorders: univariate and multivariate Mendelian randomization study.European archives of psychiatry and clinical neuroscience · 2026Article
- The association between adult height and the incidence of diabetes in a Japanese working population: a prospective study exploring the possible role of cohort effects.BMC public health · 2026Article
- The Impact of Early-Life Growth on Long-Term Cardiometabolic and Neurocognitive Outcomes in High-Income Countries: A Neglected Public Health Problem.Nutrition reviews · 2026Review
- Circulating metabolites, genetics and lifestyle factors in relation to future risk of type 2 diabetes.Nature medicine · 2026Article
- Health effects associated with alcohol consumption: a Burden of Proof study.Nature health · 2026Article
- Sleep Traits and Risk of Epilepsy: A Bidirectional and Multivariable Two-Sample Mendelian Randomization Study.Yonsei medical journal · 2025Article
63 more citing papers are in PubMed but not listed here.
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
aims/hypothesisThe aim of this study was to use Mendelian randomisation (MR) to identify the causal risk factors for type 2 diabetes.
methodsWe first conducted a review of meta-analyses and review articles to pinpoint possible risk factors for type 2 diabetes. Around 170 possible risk factors were identified of which 97 risk factors with available genetic instrumental variables were included in MR analyses. To reveal more risk factors that were not included in our MR analyses, we conducted a review of published MR studies of type 2 diabetes. For our MR analyses, we used summary-level data from the DIAbetes Genetics Replication And Meta-analysis consortium (74,124 type 2 diabetes cases and 824,006 controls of European ancestry). Potential causal associations were replicated using the FinnGen consortium (11,006 type 2 diabetes cases and 82,655 controls of European ancestry). The inverse-variance weighted method was used as the main analysis. Multivariable MR analysis was used to assess whether the observed associations with type 2 diabetes were mediated by BMI. We used the Benjamini-Hochberg method that controls false discovery rate for multiple testing.
resultsWe found evidence of causal associations between 34 exposures (19 risk factors and 15 protective factors) and type 2 diabetes. Insomnia was identified as a novel risk factor (OR 1.17 [95% CI 1.11, 1.23]). The other 18 risk factors were depression, systolic BP, smoking initiation, lifetime smoking, coffee (caffeine) consumption, plasma isoleucine, valine and leucine, liver alanine aminotransferase, childhood and adulthood BMI, body fat percentage, visceral fat mass, resting heart rate, and four plasma fatty acids. The 15 exposures associated with a decreased risk of type 2 diabetes were plasma alanine, HDL- and total cholesterol, age at menarche, testosterone levels, sex hormone binding globulin levels (adjusted for BMI), birthweight, adulthood height, lean body mass (for women), four plasma fatty acids, circulating 25-hydroxyvitamin D and education years. Eight associations remained after adjustment for adulthood BMI. We additionally identified 21 suggestive risk factors (p < 0.05), such as alcohol consumption, breakfast skipping, daytime napping, short sleep, urinary sodium, and certain amino acids and inflammatory factors. CONCLUSIONS/
interpretationThe present study verified several previously reported risk factors and identified novel potential risk factors for type 2 diabetes. Prevention strategies for type 2 diabetes should be considered from multiple perspectives on obesity, mental health, sleep quality, education level, birthweight and smoking.
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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.