ArticleHuman genetics2021
Phenome-wide screening of GWAS data reveals the complex causal architecture of obesity.
Article in Human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Discovery of genomic loci associated with sleep apnea risk through multi-trait GWAS analysis with snoring.Sleep · 2023Pooled it
- Shared genetic architecture between Parkinson's disease and self-reported sleep-related traits implicates theSleep advances : a journal of the Sleep Research Society · 2026Article
- Advancing knowledge, maps and tools to address obesity and related socio-economic disparities in Europe: the OBCT project.Global health action · 2025Article
- Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries.Nature genetics · 2024Article
- Genomic analysis of intracranial and subcortical brain volumes yields polygenic scores accounting for variation across ancestries.medRxiv : the preprint server for health sciences · 2024Article
- Phenome-wide causal associations between osteoarthritis and other complex traits through the latent causal variable analysis.BMC musculoskeletal disorders · 2024Article
- Genome wide association study in Swedish Labrador retrievers identifies genetic loci associated with hip dysplasia and body weight.Scientific reports · 2024Article
- Investigating the Shared Genetic Etiology Between Parkinson's Disease and Depression.Journal of Parkinson's disease · 2024Article
- Shared molecular genetic factors influence subcortical brain morphometry and Parkinson's disease risk.NPJ Parkinson's disease · 2023Article
- Association of Impulsivity With Food, Nutrients, and Fitness in a Longitudinal Birth Cohort Study.The international journal of neuropsychopharmacology · 2022Article
- Large-scale genetic investigation reveals genetic liability to multiple complex traits influencing a higher risk of ADHD.Scientific reports · 2021Article
- Phenome-wide analysis highlights putative causal relationships between self-reported migraine and other complex traits.The journal of headache and pain · 2021Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
Abstract
objectiveIn the present study, we sought to identify causal relationships between obesity and other complex traits and conditions using a data-driven hypothesis-free approach that uses genetic data to infer causal associations.
methodsWe leveraged available summary-based genetic data from genome-wide association studies on 1498 phenotypes and applied the latent causal variable method (LCV) between obesity and all traits.
resultsWe identified 110 traits causally associated with obesity. Of those, 109 were causal outcomes of obesity, while only leg pain in calves was a causal determinant of obesity. Causal outcomes of obesity included 26 phenotypes associated with cardiovascular diseases, 22 anthropometric measurements, nine with the musculoskeletal system, nine with behavioural or lifestyle factors including loneliness or isolation, six with respiratory diseases, five with body bioelectric impedances, four with psychiatric phenotypes, four related to the nervous system, four with disabilities or long-standing illness, three with the gastrointestinal system, three with use of analgesics, two with metabolic diseases, one with inflammatory response and one with the neurodevelopmental disorder ADHD, among others. In particular, some causal outcomes of obesity included hypertension, stroke, ever having a period of extreme irritability, low forced vital capacity and forced expiratory volume, diseases of the musculoskeletal system, diabetes, carpal tunnel syndrome, loneliness or isolation, high leukocyte count, and ADHD.
conclusionsOur results indicate that obesity causally affects a wide range of traits and comorbid diseases, thus providing an overview of the metabolic, physiological, and neuropsychiatric impact of obesity on human health.
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