ArticlePloS one2015
Pleiotropy among common genetic loci identified for cardiometabolic disorders and C-reactive protein.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 4 of them syntheses that pooled it.
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Who cites it
30 citing papers in PubMed, 4 syntheses or guidelines pooled it, 58 citations in OpenAlex.
- Meta-analysis of sample-level dbGaP data reveals novel shared genetic link between body height and Crohn's disease.Human genetics · 2021Pooled it
- Global assessment of C-reactive protein and health-related outcomes: an umbrella review of evidence from observational studies and Mendelian randomization studies.European journal of epidemiology · 2021Pooled it
- Genetically defined elevated homocysteine levels do not result in widespread changes of DNA methylation in leukocytes.PloS one · 2017Pooled it
- Evaluation of pleiotropic effects among common genetic loci identified for cardio-metabolic traits in a Korean population.Cardiovascular diabetology · 2016Pooled it
- C-reactive protein polygenic risk is associated with obesity-related traits in schizophrenia spectrum disorders.Frontiers in psychiatry · 2026Article
- Body mass index and inflammation in depression and treatment-resistant depression: a Mendelian randomisation study.BMC medicine · 2023Article
- Exome-wide analysis reveals role ofHGG advances · 2023Article
- Socio-Demographic, Lifestyle, and Cardiometabolic Characteristics Associated with Low-Grade Systemic Inflammation in Russian Adult Population.Biomolecules · 2023Article
- TM6SF2-rs58542926 Genetic Variant Modifies the Protective Effect of a "Prudent" Dietary Pattern on Serum Triglyceride Levels.Nutrients · 2023Article
- Pleiotropic genetic architecture and novel loci for C-reactive protein levels.Nature communications · 2022Article
- Genetic pleiotropy underpinning adiposity and inflammation in self-identified Hispanic/Latino populations.BMC medical genomics · 2022Article
- N6-Methyladenosine RNA Modification in Inflammation: Roles, Mechanisms, and Applications.Frontiers in cell and developmental biology · 2021Review
- Precision Medicine and Cardiovascular Health: Insights from Mendelian Randomization Analyses.Korean circulation journal · 2020Review
- Pro-inflammatory cytokine polymorphisms in ONECUT2 and HNF4A and primary colorectal carcinoma: a post genome-wide gene-lifestyle interaction study.American journal of cancer research · 2020Article
- A Long Non-coding RNA,Frontiers in genetics · 2020Article
- Common atherosclerosis genetic risk factors and subclinical atherosclerosis in rheumatoid arthritis: the relevance of disease duration.Rheumatology international · 2019Article
- Interleukin-38 interacts with destrin/actin-depolymerizing factor in human keratinocytes.PloS one · 2019Article
- Discovery, fine-mapping, and conditional analyses of genetic variants associated with C-reactive protein in multiethnic populations using the Metabochip in the Population Architecture using Genomics and Epidemiology (PAGE) study.Human molecular genetics · 2018Article
- Gene-Centric Analysis of Preeclampsia Identifies Maternal Association atHypertension (Dallas, Tex. : 1979) · 2018Article
- Anti-Tumor Necrosis Factor Therapy and Incidence of Parkinson Disease Among Patients With Inflammatory Bowel Disease.JAMA neurology · 2018Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
Abstract
Pleiotropic genetic variants have independent effects on different phenotypes. C-reactive protein (CRP) is associated with several cardiometabolic phenotypes. Shared genetic backgrounds may partially underlie these associations. We conducted a genome-wide analysis to identify the shared genetic background of inflammation and cardiometabolic phenotypes using published genome-wide association studies (GWAS). We also evaluated whether the pleiotropic effects of such loci were biological or mediated in nature. First, we examined whether 283 common variants identified for 10 cardiometabolic phenotypes in GWAS are associated with CRP level. Second, we tested whether 18 variants identified for serum CRP are associated with 10 cardiometabolic phenotypes. We used a Bonferroni corrected p-value of 1.1×10-04 (0.05/463) as a threshold of significance. We evaluated the independent pleiotropic effect on both phenotypes using individual level data from the Women Genome Health Study. Evaluating the genetic overlap between inflammation and cardiometabolic phenotypes, we found 13 pleiotropic regions. Additional analyses showed that 6 regions (APOC1, HNF1A, IL6R, PPP1R3B, HNF4A and IL1F10) appeared to have a pleiotropic effect on CRP independent of the effects on the cardiometabolic phenotypes. These included loci where individuals carrying the risk allele for CRP encounter higher lipid levels and risk of type 2 diabetes. In addition, 5 regions (GCKR, PABPC4, BCL7B, FTO and TMEM18) had an effect on CRP largely mediated through the cardiometabolic phenotypes. In conclusion, our results show genetic pleiotropy among inflammation and cardiometabolic phenotypes. In addition to reverse causation, our data suggests that pleiotropic genetic variants partially underlie the association between CRP and cardiometabolic phenotypes.
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