SynthesisHuman molecular genetics2017
Trans-ethnic meta-regression of genome-wide association studies accounting for ancestry increases power for discovery and improves fine-mapping resolution.
Synthesis in Human molecular genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 182 papers, 59 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
182 citing papers in PubMed, 59 syntheses or guidelines pooled it, 309 citations in OpenAlex.
- Multi-population GWAS meta-analysis identifies bladder cancer susceptibility loci and highlights genetic regulation of smoking-related risk.Nature communications · 2026Pooled it
- Multi-ancestry genome-wide association analyses provide insights into the genetic basis of Hashimoto's thyroiditis.Nature genetics · 2026Pooled it
- Multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycaemic traits during pregnancy reveals limited evidence of pregnancy-specific genetic effects.Nature communications · 2026Pooled it
- Multi ancestry genome wide association meta analysis of urinary aMT6s levels.Scientific reports · 2026Pooled it
- Pan-UK Biobank genome-wide association analyses enhance discovery and resolution of ancestry-enriched effects.Nature genetics · 2025Pooled it
- Correcting for Genomic Inflation Leads to Loss of Power in Large-Scale Genome-Wide Association Study Meta-Analysis.Genetic epidemiology · 2025Pooled it
- Large-scale genome-wide analyses of stuttering.Nature genetics · 2025Pooled it
- Genome-wide association meta-analysis of human olfactory identification discovers sex-specific and sex-differential genetic variants.Nature communications · 2025Pooled it
- Dissecting the Genetic Architecture of Intracranial Aneurysms.Circulation. Genomic and precision medicine · 2025Pooled it
- Trans-ancestry GWAS identifies 59 loci and improves risk prediction and fine-mapping for kidney stone disease.Nature communications · 2025Pooled it
- Large-scale multi-omics analyses in Hispanic/Latino populations identify genes for cardiometabolic traits.Nature communications · 2025Pooled it
- Cross-ancestry analyses of Chinese and European populations reveal insights into the genetic architecture and disease implication of metabolites.Cell genomics · 2025Pooled it
- Genome-wide association study meta-analysis provides insights into the etiology of heart failure and its subtypes.Nature genetics · 2025Pooled it
- The genetic architecture of hip shape and its role in the development of hip osteoarthritis and fracture.Human molecular genetics · 2025Pooled it
- Multi-ancestry genome-wide meta-analysis with 472,819 individuals identifies 32 novel risk loci for psoriasis.Journal of translational medicine · 2025Pooled it
- Deep learning and genome-wide association meta-analyses of bone marrow adiposity in the UK Biobank.Nature communications · 2025Pooled it
- Accounting for heterogeneity due to environmental sources in meta-analysis of genome-wide association studies.Communications biology · 2024Pooled it
- Meta-analysis of genome-wide association studies of stable warfarin dose in patients of African ancestry.Blood advances · 2024Pooled it
- Genome-wide association study meta-analysis of neurofilament light (NfL) levels in blood reveals novel loci related to neurodegeneration.Communications biology · 2024Pooled it
- A genome-wide association meta-analysis of all-cause and vascular dementia.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Pooled it
122 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
9 authors at 6 institutions in 4 countries.
Funding
Abstract
Trans-ethnic meta-analysis of genome-wide association studies (GWAS) across diverse populations can increase power to detect complex trait loci when the underlying causal variants are shared between ancestry groups. However, heterogeneity in allelic effects between GWAS at these loci can occur that is correlated with ancestry. Here, a novel approach is presented to detect SNP association and quantify the extent of heterogeneity in allelic effects that is correlated with ancestry. We employ trans-ethnic meta-regression to model allelic effects as a function of axes of genetic variation, derived from a matrix of mean pairwise allele frequency differences between GWAS, and implemented in the MR-MEGA software. Through detailed simulations, we demonstrate increased power to detect association for MR-MEGA over fixed- and random-effects meta-analysis across a range of scenarios of heterogeneity in allelic effects between ethnic groups. We also demonstrate improved fine-mapping resolution, in loci containing a single causal variant, compared to these meta-analysis approaches and PAINTOR, and equivalent performance to MANTRA at reduced computational cost. Application of MR-MEGA to trans-ethnic GWAS of kidney function in 71,461 individuals indicates stronger signals of association than fixed-effects meta-analysis when heterogeneity in allelic effects is correlated with ancestry. Application of MR-MEGA to fine-mapping four type 2 diabetes susceptibility loci in 22,086 cases and 42,539 controls highlights: (i) strong evidence for heterogeneity in allelic effects that is correlated with ancestry only at the index SNP for the association signal at the CDKAL1 locus; and (ii) 99% credible sets with six or fewer variants for five distinct association signals.
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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 Socratic graph.