ArticleGenome medicine2012
Genome-wide association studies with metabolomics.
Article in Genome medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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.
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.
Who cites it
28 citing papers in PubMed.
- Decoding rare inherited metabolic disorders: advancing precision in screening and diagnosis.Orphanet journal of rare diseases · 2026Review
- Novel Metabolites Genetically Linked to Salt Sensitivity of Blood Pressure: Evidence from mGWAS in Chinese Population.International journal of molecular sciences · 2025Article
- Developing benzylisoquinoline alkaloid-enriched opium poppy via CRISPR-directed genome editing: A review.BMC plant biology · 2024Review
- Unsupervised clustering identified clinically relevant metabolic syndrome endotypes in UK and Taiwan Biobanks.iScience · 2024Article
- Causal effects of genetically determined blood metabolites on multiple myeloma: a Mendelian randomization study.Scientific reports · 2023Article
- Crosstalk between Host Genome and Metabolome among People with HIV in South Africa.Metabolites · 2022Article
- Neurodevelopment, nutrition and genetics. A contemporary retrospective on neurocognitive health on the occasion of the 100th anniversary of the National Institute of Nutrition, Hyderabad, India.Prostaglandins, leukotrienes, and essential fatty acids · 2022Review
- [Investigating the causal relationship between human blood metabolites and coronary artery disease using two-sample Mendelian randomization].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2021Article
- Genome-wide association study of metabolites in patients with coronary artery disease identified novel metabolite quantitative trait loci.Clinical and translational medicine · 2021Article
- The New Omics Era into Systems Approaches: What Is the Importance of Separation Techniques?Advances in experimental medicine and biology · 2021Article
- Obesity Genomics and Metabolomics: a Nexus of Cardiometabolic Risk.Current cardiology reports · 2020Review
- Variation in Seed Metabolites between Two Indica Rice Accessions Differing in Seed Longevity.Plants (Basel, Switzerland) · 2020Article
- Toward a Standardized Strategy of Clinical Metabolomics for the Advancement of Precision Medicine.Metabolites · 2020Review
- Inter-Laboratory Comparison of Metabolite Measurements for Metabolomics Data Integration.Metabolites · 2019Article
- Genome-wide association studies of 74 plasma metabolites of German shepherd dogs reveal two metabolites associated with genes encoding their enzymes.Metabolomics : Official journal of the Metabolomic Society · 2019Article
- Metabolomics and Cell Therapy in Diabetes Mellitus.International journal of molecular and cellular medicine · 2019Review
- Redefining environmental exposure for disease etiology.NPJ systems biology and applications · 2018Article
- Comparative metabolomics revealing Staphylococcus aureus metabolic response to different antibiotics.Microbial biotechnology · 2017Article
- Mixing omics: combining genetics and metabolomics to study rheumatic diseases.Nature reviews. Rheumatology · 2017Review
- Metabolomics in epidemiology: from metabolite concentrations to integrative reaction networks.International journal of epidemiology · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Genome-wide association studies (GWAS) analyze the genetic component of a phenotype or the etiology of a disease. Despite the success of many GWAS, little progress has been made in uncovering the underlying mechanisms for many diseases. The use of metabolomics as a readout of molecular phenotypes has enabled the discovery of previously undetected associations between diseases and signaling and metabolic pathways. In addition, combining GWAS and metabolomic information allows the simultaneous analysis of the genetic and environmental impacts on homeostasis. Most success has been seen in metabolic diseases such as diabetes, obesity and dyslipidemia. Recently, associations between loci such as FADS1, ELOVL2 or SLC16A9 and lipid concentrations have been explained by GWAS with metabolomics. Combining GWAS with metabolomics (mGWAS) provides the robust and quantitative information required for the development of specific diagnostics and targeted drugs. This review discusses the limitations of GWAS and presents examples of how metabolomics can overcome these limitations with the focus on metabolic diseases.
Identifiers
What OpenQuestion holds
Registered trials
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.