ArticleNature communications2019
A comprehensive study of metabolite genetics reveals strong pleiotropy and heterogeneity across time and context.
Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 3 of them syntheses that pooled it.
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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.
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Who cites it
49 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Cross-ancestry analyses of Chinese and European populations reveal insights into the genetic architecture and disease implication of metabolites.Cell genomics · 2025Pooled it
- Multiomic integration analysis identifies atherogenic metabolites mediating between novel immune genes and cardiovascular risk.Genome medicine · 2024Pooled it
- Large-scale Integrated Analysis of Genetics and Metabolomic Data Reveals Potential Links Between Lipids and Colorectal Cancer Risk.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022Pooled it
- Genetic factor analysis for characterizing phenome-wide patterns of genetic pleiotropy.Nature genetics · 2026Article
- Exploring a genetic basis for the metabolic perturbations in ME/CFS using UK biobank.iScience · 2026Article
- Article
- Adiposity, metabolites and endometrial cancer risk: inference from combinations of Mendelian randomization and observational analyses.BMC cancer · 2025Observational
- gsQTL: Associating genetic risk variants with gene sets by exploiting their shared variability.bioRxiv : the preprint server for biology · 2024Article
- Selection scan in Native Americans of Mexico identifiesHeliyon · 2024Article
- Trait selection strategy in multi-trait GWAS: Boosting SNP discoverability.HGG advances · 2024Article
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- The melatonin receptor 1B gene links circadian rhythms and type 2 diabetes mellitus: an evolutionary story.Annals of medicine · 2023Review
- Genome-wide association analysis of plasma lipidome identifies 495 genetic associations.Nature communications · 2023Article
- Trait selection strategy in multi-trait GWAS: Boosting SNPs discoverability.bioRxiv : the preprint server for biology · 2023Article
- Metabolomic Investigation of Major Depressive Disorder Identifies a Potentially Causal Association With Polyunsaturated Fatty Acids.Biological psychiatry · 2023Article
- The Relationship between Changes inJournal of cardiovascular development and disease · 2023Review
- An epidemiological introduction to human metabolomic investigations.Trends in endocrinology and metabolism: TEM · 2023Review
- Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits.Nature communications · 2023Article
- Nuclear magnetic resonance-determined lipoprotein profile and risk of breast cancer: a Mendelian randomization study.Breast cancer research and treatment · 2023Article
Corrections and comments
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Authors and funding
10 authors.
Funding
Abstract
Genetic studies of metabolites have identified thousands of variants, many of which are associated with downstream metabolic and obesogenic disorders. However, these studies have relied on univariate analyses, reducing power and limiting context-specific understanding. Here we aim to provide an integrated perspective of the genetic basis of metabolites by leveraging the Finnish Metabolic Syndrome In Men (METSIM) cohort, a unique genetic resource which contains metabolic measurements, mostly lipids, across distinct time points as well as information on statin usage. We increase effective sample size by an average of two-fold by applying the Covariates for Multi-phenotype Studies (CMS) approach, identifying 588 significant SNP-metabolite associations, including 228 new associations. Our analysis pinpoints a small number of master metabolic regulator genes, balancing the relative proportion of dozens of metabolite levels. We further identify associations to changes in metabolic levels across time as well as genetic interactions with statin at both the master metabolic regulator and genome-wide level.
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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.