Multi-Trait Genetic Analysis Identifies Autoimmune Loci Associated with Cutaneous Melanoma.

doi:10.1016/j.jid.2021.08.449

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

Community

Back to search

Article

Multi-Trait Genetic Analysis Identifies Autoimmune Loci Associated with Cutaneous Melanoma.

The Journal of investigative dermatology - 1 Jun 2022

Liyanage Upekha E, MacGregor Stuart, Bishop D Timothy, Shi Jianxin, An Jiyuan, Ong Jue Sheng, Han Xikun, Scolyer Richard A, Martin Nicholas G, Medland Sarah E, Byrne Enda M, Green Adèle C, Saw Robyn P M, Thompson John F, Stretch Jonathan, Spillane Andrew, Jiang Yunxuan, Tian Chao, Gordon Scott G, Duffy David L, Olsen Catherine M, Whiteman David C, Long Georgina V, Iles Mark M, Landi Maria Teresa, Law Matthew H

Abstract excerpt

Genome-wide association studies (GWAS) have identified a number of risk loci for cutaneous melanoma. Cutaneous melanoma shares overlapping genetic risk (genetic correlation) with a number of other traits, including its risk factors such as sunburn propensity. This genetic correlation can be exploited to identify additional cutaneous melanoma risk loci by multitrait analysis of GWAS (MTAG). We used bivariate...

Read the complete abstract on PubMed

Topics

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

Share to Genetic Loci

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Predisposition to Disease

Share to Genome-Wide Association Study

Share to Melanoma

Share to Melanoma, Cutaneous Malignant

Share to Phenotype

Share to Polymorphism, Single Nucleotide

Share to Skin Neoplasms

Source

Open in PubMed

Identifiers

PMID: 34813871
DOI: 10.1016/j.jid.2021.08.449

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Multi-Trait Genetic Analysis Identifies Autoimmune Loci Associated with Cutaneous Melanoma.PMID 34813871Read ↗

Genome-wide association meta-analyses combining multiple risk phenotypes provide insights into the genetic architecture of cutaneous melanoma susceptibility.Semantic proximity Read ↗

A multi-phenotype analysis reveals 19 novel susceptibility loci for basal cell carcinoma and 15 for squamous cell carcinomaSemantic proximity Read ↗

The Genetic Architecture of Cutaneous Melanoma Across the Variant SpectrumSemantic proximity Read ↗

Genome‐wide association studies and polygenic risk scores for skin cancer: clinically useful yet?Semantic proximity Read ↗

Combined analysis of keratinocyte cancers identifies novel genome-wide lociSemantic proximity Read ↗

Links between melanoma germline risk loci, driver genes and comorbidities: insight from a tissue-specific multi-omic analysis.Semantic proximity Read ↗

Integrative genetic analysis suggests that skin color modifies the genetic architecture of melanoma.Semantic proximity Read ↗

Genome-wide meta-analysis identifies five new susceptibility loci for cutaneous malignant melanoma.Semantic proximity Read ↗

Genetic determinants of cutaneous melanoma predisposition.Semantic proximity Read ↗

Fine mapping of genetic susceptibility loci for melanoma reveals a mixture of single variant and multiple variant regions.Semantic proximity Read ↗

A multi-phenotype analysis reveals 19 susceptibility loci for basal cell carcinoma and 15 for squamous cell carcinomaSemantic proximity Read ↗

Genome-wide association study identifies three loci associated with melanoma risk.Semantic proximity Read ↗

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