SynthesisHuman molecular genetics2018
Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry.
Synthesis in Human molecular genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07653412 (Prediction of Response to GLP-1/GIP Receptor Agonists in Obesity Using Genetic Risk Score and SNP Profiling), which is not on this map. Cited by 1,407 papers, 7 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.
Prediction of Response to GLP-1/GIP Receptor Agonists in Obesity Using Genetic Risk Score and SNP Profiling: A Prospective Cohort Study.
Who cites it
1,407 citing papers in PubMed, 7 syntheses or guidelines pooled it, 2,483 citations in OpenAlex.
- Genome-wide association studies of infant and toddler temperament in European and multi-ancestry populations.Nature human behaviour · 2026Pooled it
- Integration of GWAS and single-cell analysis for psoriasis identifies disease-associated cell subtypes and therapeutic targets.Nature communications · 2026Pooled it
- Gene-environment interplay explaining individual variation in BMI outcomes: a systematic review and meta-analysis of studies using polygenic indices.International journal of obesity (2005) · 2026Pooled it
- Skeletal muscle eQTL meta-analysis implicates genes in the genetic architecture of muscular and cardiometabolic traits.American journal of human genetics · 2025Pooled it
- Genome-wide analysis identifies susceptibility loci for heart failure and nonischemic cardiomyopathy subtype in the East Asian populations.PLoS genetics · 2025Pooled it
- Polygenic Risk and Nutrient Intake Interactions on Obesity Outcomes: A Systematic Review and Meta-Analysis of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Pooled it
- Genome-wide association study provides novel insight into the genetic architecture of severe obesity.PLoS genetics · 2025Pooled it
- Dietary intervention and BMI reduction in individuals at the extremes of genetic predisposition to higher BMI: a randomized controlled trial.Nature communications · 2026Trial
- Refining Genetic Instruments for Dietary Intake Mendelian Randomization Using Phenome-Wide Association Studies.Genetic epidemiology · 2026Article
- Polygenic Risk Scores Show Distinct Genetic Architectures of IBD-Associated Comorbidities.Digestive diseases and sciences · 2026Article
- Review
- Electronic Health Record-Based Phenotyping for Obsessive-Compulsive Disorder: Algorithm Development and Multicenter Validation Study.JMIR mental health · 2026Article
- Body mass index and type 2 diabetes liability in osteomyelitis and cellulitis: A cross-biobank Mendelian randomization study.Medicine · 2026Article
- Beyond Deterministic Fetal Programming: Intrauterine Exposures and the Multifactorial Origins of Adiposity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2026Review
- Immune Cell-Stratified Regulatory Contexts Associated With BMI-Related Multi-System Disease Risk: A Cell-Stratified Mendelian Randomization Study Using Single-Cell eQTL Data.Diabetes, obesity & metabolism · 2026Article
- Shared and distinct genetic architectures of eating disorders and obesity: From monogenic causes to polygenic risk.Reviews in endocrine & metabolic disorders · 2026Review
- Genome-wide mapping of common and rare variant effects on adiposity across childhood.Nature genetics · 2026Article
- A single-nuclei multiomics resource across four brain regions prioritises human neural cell types influencing brain-related traits.bioRxiv : the preprint server for biology · 2026Article
- GutiMeta · 2026Article
- Article
1,347 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors at 3 institutions in 4 countries.
Funding
Abstract
Recent genome-wide association studies (GWAS) of height and body mass index (BMI) in ∼250000 European participants have led to the discovery of ∼700 and ∼100 nearly independent single nucleotide polymorphisms (SNPs) associated with these traits, respectively. Here we combine summary statistics from those two studies with GWAS of height and BMI performed in ∼450000 UK Biobank participants of European ancestry. Overall, our combined GWAS meta-analysis reaches N ∼700000 individuals and substantially increases the number of GWAS signals associated with these traits. We identified 3290 and 941 near-independent SNPs associated with height and BMI, respectively (at a revised genome-wide significance threshold of P < 1 × 10-8), including 1185 height-associated SNPs and 751 BMI-associated SNPs located within loci not previously identified by these two GWAS. The near-independent genome-wide significant SNPs explain ∼24.6% of the variance of height and ∼6.0% of the variance of BMI in an independent sample from the Health and Retirement Study (HRS). Correlations between polygenic scores based upon these SNPs with actual height and BMI in HRS participants were ∼0.44 and ∼0.22, respectively. From analyses of integrating GWAS and expression quantitative trait loci (eQTL) data by summary-data-based Mendelian randomization, we identified an enrichment of eQTLs among lead height and BMI signals, prioritizing 610 and 138 genes, respectively. Our study demonstrates that, as previously predicted, increasing GWAS sample sizes continues to deliver, by the discovery of new loci, increasing prediction accuracy and providing additional data to achieve deeper insight into complex trait biology. All summary statistics are made available for follow-up studies.
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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.