ArticlePloS one2016
Multivariate Analysis of Anthropometric Traits Using Summary Statistics of Genome-Wide Association Studies from GIANT Consortium.
Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.
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
19 citing papers in PubMed, 2 syntheses or guidelines pooled 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
- Multi-trait genome-wide association study identifies new loci associated with optic disc parameters.Communications biology · 2019Pooled it
- Peptide LKLKLL is a more effective component ofGut microbes · 2026Article
- Multi-Omics Dissection of the Shared Genetic Architecture Between Sleep Traits and Epilepsy.Biology · 2026Article
- Causal relationships between modifiable risk factors and polycystic ovary syndrome: a comprehensive Mendelian randomization study.Frontiers in endocrinology · 2024Article
- Overcoming the underdiagnosis of obstructive sleep apnea to empower genetic association analyses.Sleep · 2023Article
- A flexible summary statistics-based colocalization method with application to the mucin cystic fibrosis lung disease modifier locus.American journal of human genetics · 2022Article
- Inflammation and immunity connect hypertension with adverse COVID-19 outcomes.Frontiers in genetics · 2022Article
- Mendelian randomization and pleiotropy analysis.Quantitative biology (Beijing, China) · 2021Article
- An iterative approach to detect pleiotropy and perform Mendelian Randomization analysis using GWAS summary statistics.Bioinformatics (Oxford, England) · 2021Article
- A regulatory variant at 3q21.1 confers an increased pleiotropic risk for hyperglycemia and altered bone mineral density.Cell metabolism · 2021Article
- Nontrivial Replication of Loci Detected by Multi-Trait Methods.Frontiers in genetics · 2021Article
- Ancestry-specific associations identified in genome-wide combined-phenotype study of red blood cell traits emphasize benefits of diversity in genomics.BMC genomics · 2020Article
- Adjustment for covariates using summary statistics of genome-wide association studies.Genetic epidemiology · 2018Article
- Statistical methods to detect pleiotropy in human complex traits.Open biology · 2017Review
- Evaluation of shared genetic aetiology between osteoarthritis and bone mineral density identifies SMAD3 as a novel osteoarthritis risk locus.Human molecular genetics · 2017Article
- A systematic SNP selection approach to identify mechanisms underlying disease aetiology: linking height to post-menopausal breast and colorectal cancer risk.Scientific reports · 2017Article
- Cross-Phenotype Association Analysis Using Summary Statistics from GWAS.Methods in molecular biology (Clifton, N.J.) · 2017Article
- An Analytic Solution to the Computation of Power and Sample Size for Genetic Association Studies under a Pleiotropic Mode of Inheritance.Human heredity · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Meta-analysis of single trait for multiple cohorts has been used for increasing statistical power in genome-wide association studies (GWASs). Although hundreds of variants have been identified by GWAS, these variants only explain a small fraction of phenotypic variation. Cross-phenotype association analysis (CPASSOC) can further improve statistical power by searching for variants that contribute to multiple traits, which is often relevant to pleiotropy. In this study, we performed CPASSOC analysis on the summary statistics from the Genetic Investigation of ANthropometric Traits (GIANT) consortium using a novel method recently developed by our group. Sex-specific meta-analysis data for height, body mass index (BMI), and waist-to-hip ratio adjusted for BMI (WHRadjBMI) from discovery phase of the GIANT consortium study were combined using CPASSOC for each trait as well as 3 traits together. The conventional meta-analysis results from the discovery phase data of GIANT consortium studies were used to compare with that from CPASSOC analysis. The CPASSOC analysis was able to identify 17 loci associated with anthropometric traits that were missed by conventional meta-analysis. Among these loci, 16 have been reported in literature by including additional samples and 1 is novel. We also demonstrated that CPASSOC is able to detect pleiotropic effects when analyzing multiple traits.
Indexed as
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.