Article

Genome-wide association study for circulating metabolic traits in 619,372 individuals

2024-10-16

Abstract excerpt

Interpreting genetic associations with complex traits can be greatly improved by detailed understanding of the molecular consequences of these variants. However, although genome-wide association studies (GWAS) for common complex diseases routinely profile 1M+ individuals, studies of molecular phenotypes have lagged behind. We performed a GWAS meta-analysis for 249 circulating metabolic traits in the Estonian Bioba...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 786b5d9c-5626-546d-a885-90be653cfba6
DOI: 10.1101/2024.10.15.24315557

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Genome-wide association study for circulating metabolic traits in 619,372 individualsDOI 10.1101/2024.10.15.24315557Read

Genetic analysis of circulating metabolic traits in 619,372 individuals.Semantic proximity Read

Analysis of whole genome sequencing and plasma metabolomics unveil genetic determinants and clinical implications for human health.Semantic proximity Read

A genetic map of human metabolism across the allele frequency spectrumSemantic proximity Read

Genome-wide study for circulating metabolites identifies 62 loci and reveals novel systemic effects of LPA.Semantic proximity Read

The influence of rare variants in circulating metabolic biomarkers.Semantic proximity Read

Pleiotropic and sex-specific genetic mechanisms of circulating metabolic markers.Semantic proximity Read

Integrative analysis of metabolite GWAS illuminates the molecular basis of pleiotropy and genetic correlationSemantic proximity Read

Pleiotropic and sex-specific genetic architecture of circulating metabolic markersSemantic proximity Read

Disentangling the consequences of type 2 diabetes on targeted metabolite profiles using causal inference and interaction QTL analyses.Semantic proximity Read

Genome-wide characterization of circulating metabolic biomarkers reveals substantial pleiotropy and novel disease pathwaysSemantic proximity Read

Integrative metabolomics and genomics reveal molecular signatures for type 2 diabetes and its cardiovascular complications.Semantic proximity Read

Integrative analysis of metabolite GWAS illuminates the molecular basis of pleiotropy and genetic correlation.Semantic proximity Read