Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Combining functional annotation and multi-trait fine-mapping methods improves fine-mapping resolution at glycaemic trait loci.

Human molecular genetics - 9 Feb 2026

Soenksen Jana, Chen Ji, Varshney Arushi, Martin Susan, Parker Stephen C J, Morris Andrew P, Asimit Jennifer L, Barroso Inês

Abstract excerpt

The Meta-Analysis of Glucose and Insulin-related traits Consortium (MAGIC) identified 242 loci associated with glycaemic traits fasting insulin (FI), fasting glucose (FG), 2 h-Glucose (2hGlu), and glycated haemoglobin (HbA1c). However, for the majority, the causal variant(s) remain(s) unknown. Modelling multiple traits and integrating functional annotations have each been shown to improve fine-mapping resolution....

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Blood Glucose
Share to Chromosome Mapping

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Fasting

Share to Genome-Wide Association Study

Share to Glycated Hemoglobin

Share to Insulin

Share to Molecular Sequence Annotation

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 41251494
DOI: 10.1093/hmg/ddaf164
PMCID: PMC13158242

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 9 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Combining functional annotation and multi-trait fine-mapping methods improves fine-mapping resolution at glycaemic trait loci.PMID 41251494Read ↗

Combining functional annotation and multi-trait fine-mapping methods improves fine-mapping resolution at glycaemic trait lociSemantic proximity Read ↗

Fine-mapping of an expanded set of type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome mapsSemantic proximity Read ↗

The flashfm approach for fine-mapping multiple quantitative traits.Semantic proximity Read ↗

Genome-wide fine-mapping improves identification of causal variants.Semantic proximity Read ↗

Genome-wide fine-mapping improves identification of causal variantsSemantic proximity Read ↗

Functionally informed fine-mapping and polygenic localization of complex trait heritability.Semantic proximity Read ↗

Fast and flexible joint fine-mapping of multiple traits via the Sum of Single Effects model.Semantic proximity Read ↗

Integrating functional data to prioritize causal variants in statistical fine-mapping studies.Semantic proximity Read ↗

Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes.Semantic proximity Read ↗

Leveraging information between multiple population groups and traits improves fine-mapping resolution.Semantic proximity Read ↗

Fine-mapping genetic associations.Semantic proximity Read ↗

Predicting trait regulators by identifying co-localization of DNA binding and GWAS variants in regulatory regionsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.