SynthesisAmerican journal of human genetics2015
Meta-analysis of correlated traits via summary statistics from GWASs with an application in hypertension.
Synthesis in American journal of human genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 296 papers, 29 of them syntheses that pooled it.
What it found
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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.
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Who cites it
296 citing papers in PubMed, 29 syntheses or guidelines pooled it.
- Exploring the genetic correlation between inflammatory bowel disease and psychiatric disorders: insights from genome-wide association studies.European archives of psychiatry and clinical neuroscience · 2026Pooled it
- Deciphering the shared genetic architecture between schizophrenia and suicide attempt: a statistical genomic study.BMC psychiatry · 2026Pooled it
- Investigating the shared genetic architecture between inflammatory bowel disease and pancreatitis: a genome-wide cross-trait analysis.Molecular genetics and genomics : MGG · 2026Pooled it
- Mapping Gastroesophageal Reflux Disease and Coronary Artery Disease: A Comprehensive Analysis of Multivariable Mendelian Randomization and Shared Genetic Etiology.Clinical cardiology · 2025Pooled it
- metaGE: Investigating genotype x environment interactions through GWAS meta-analysis.PLoS genetics · 2025Pooled it
- Identification ofDepression and anxiety · 2025Pooled it
- Novel Insights Into the Causal Effects and Shared Genetics Between Body Fat and Parkinson Disease.CNS neuroscience & therapeutics · 2024Pooled it
- Epidemiological and Genetic Analyses of Schizophrenia and Breast Cancer.Schizophrenia bulletin · 2024Pooled it
- Independent association of general and central adiposity with risk of gallstone disease: observational and genetic analyses.Frontiers in endocrinology · 2024Pooled it
- Genetic overlap and causality between COVID-19 and multi-site chronic pain: the importance of immunity.Frontiers in immunology · 2024Pooled it
- A genome-wide cross-trait analysis identifies shared loci and causal relationships of obesity and lipidemic traits with psoriasis.Frontiers in immunology · 2024Pooled it
- Genome-wide association study meta-analysis of blood pressure traits and hypertension in sub-Saharan African populations: an AWI-Gen study.Nature communications · 2023Pooled it
- Migraine, chronic kidney disease and kidney function: observational and genetic analyses.Human genetics · 2023Pooled it
- Investigating the relationship between depression and breast cancer: observational and genetic analyses.BMC medicine · 2023Pooled it
- Comparison of two multi-trait association testing methods and sequence-based fine mapping of six additive QTL in Swiss Large White pigs.BMC genomics · 2023Pooled it
- Identification of shared genetic architecture between non-alcoholic fatty liver disease and type 2 diabetes: A genome-wide analysis.Frontiers in endocrinology · 2023Pooled it
- Identifying shared genetic loci and common risk genes of rheumatoid arthritis associated with three autoimmune diseases based on large-scale cross-trait genome-wide association studies.Frontiers in immunology · 2023Pooled it
- Observational and genetic analyses clarify the relationship between type 2 diabetes mellitus and gallstone disease.Frontiers in endocrinology · 2023Pooled it
- Insights From a Large-Scale Whole-Genome Sequencing Study of Systolic Blood Pressure, Diastolic Blood Pressure, and Hypertension.Hypertension (Dallas, Tex. : 1979) · 2022Pooled it
- TwinEQTL: ultrafast and powerful association analysis for eQTL and GWAS in twin studies.Genetics · 2022Pooled it
236 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
24 authors.
Funding
Abstract
Genome-wide association studies (GWASs) have identified many genetic variants underlying complex traits. Many detected genetic loci harbor variants that associate with multiple-even distinct-traits. Most current analysis approaches focus on single traits, even though the final results from multiple traits are evaluated together. Such approaches miss the opportunity to systemically integrate the phenome-wide data available for genetic association analysis. In this study, we propose a general approach that can integrate association evidence from summary statistics of multiple traits, either correlated, independent, continuous, or binary traits, which might come from the same or different studies. We allow for trait heterogeneity effects. Population structure and cryptic relatedness can also be controlled. Our simulations suggest that the proposed method has improved statistical power over single-trait analysis in most of the cases we studied. We applied our method to the Continental Origins and Genetic Epidemiology Network (COGENT) African ancestry samples for three blood pressure traits and identified four loci (CHIC2, HOXA-EVX1, IGFBP1/IGFBP3, and CDH17; p < 5.0 × 10(-8)) associated with hypertension-related traits that were missed by a single-trait analysis in the original report. Six additional loci with suggestive association evidence (p < 5.0 × 10(-7)) were also observed, including CACNA1D and WNT3. Our study strongly suggests that analyzing multiple phenotypes can improve statistical power and that such analysis can be executed with the summary statistics from GWASs. Our method also provides a way to study a cross phenotype (CP) association by using summary statistics from GWASs of multiple phenotypes.
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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.