Evidence map›Paper›PMID 34326492›Full record

ArticleGenetics in medicine : official journal of the American College of Medical Genetics2021

Large scale clinical exome sequencing uncovers the scope and severity of skin disorders associated with MC1R genetic variants.

Bryn S Moore, Jonathan Z Luo, Ann N Stepanchick, Tooraj Mirshahi

Open access · bronzeAbstract read
In one paragraph

Article in Genetics in medicine : official journal of the American College of Medical Genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 44% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Bryn S MooreDepartment of Molecular and Functional Genomics, Geisinger, Danville, PA, USA.
Jonathan Z LuoDepartment of Molecular and Functional Genomics, Geisinger, Danville, PA, USA.
Ann N StepanchickDepartment of Molecular and Functional Genomics, Geisinger, Danville, PA, USA.
Tooraj MirshahiDepartment of Molecular and Functional Genomics, Geisinger, Danville, PA, USA. tmirshahi@geisinger.edu.ORCID 0000-0002-0754-3820
Geisinger Medical Center · US

Funding

An integrated approach to study GPCR variants associated with complex diseasesR01GM111913 · NIGMS · GEISINGER CLINIC · PI MIRSHAHI, TOORAJ, ROBISHAW, JANET D · 2015 to 2018
$2.1M
NIGMS NIH HHS R01 GM111913
6 · The paper itself

Abstract

purposeGenetic variation in MC1R is a main determinant of red hair color (RHC) phenotype and confers susceptibility to skin disorders.

methodsWe assessed the effects and function of MC1R variants identified in our clinical cohort of 135,947 participants with available exome sequencing using phenome-wide association scan (PheWAS). Expression and function of several variants were evaluated.

resultsWe found 24 nonsense and 215 missense variants in MC1R. Many common missense MC1R variants are strongly associated with skin disorders including skin cancer; however, each variant shows different penetrance and expressivity. Severity of skin phenotype was well correlated with the magnitude of functional defect measured as receptor expression and α-MSH stimulated cAMP production. Remarkably, MC1R deletions and nonsense variants are only weakly associated with milder skin phenotypes.

conclusionOur comprehensive assessment of all MC1R variants in a large cohort clearly establish that individuals with some missense variants are more susceptible to severe skin disorders than those with MC1R deletions or nonsense variants.

Indexed as

ExomeSkin NeoplasmsAllelesGenetic VariationHair ColorHumansPhenotypeReceptor, Melanocortin, Type 1Receptor, Melanocortin, Type 1

Identifiers

PMID34326492
PMCPMC8633122
OpenAlexW3184648798

What OpenQuestion holds

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Registered trials

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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.