Evidence map›Paper›PMID 41935955›Full record

ArticleHGG advances2026

Novel MC1R variants cause red hair and lighter skin color.

Deepak K Kashyap, Srashti J Agrawal, Meenakshisundaram Karthikeyan, Disha Biradar, Eerapagula Ramesh, Krithika Subramanian, Lomous Kumar, Urgyan Chorol, Audditiya Bandopadhyay, A Vasanthakumar and 8 more

Abstract read
In one paragraph

Article in HGG advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
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

18 authors.

Deepak K KashyapCSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana 500007, India; Tata Institute for Genetics and Society, Bengaluru, Karnataka 560065, India; Department of Genetic Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Tamil Nadu 603203, India.
Srashti J AgrawalCSIR- Institute of Genomics and Integrative Biology, New Delhi 110025, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India.
Meenakshisundaram KarthikeyanDepartment of Biotechnology, Anna University, Chennai, Tamil Nadu 600025, India.
Disha BiradarDBT-Centre for DNA Fingerprinting and Diagnostics, Hyderabad, Telangana 500039, India.
Eerapagula RameshDBT-Centre for DNA Fingerprinting and Diagnostics, Hyderabad, Telangana 500039, India.
Krithika SubramanianCentre for Brain Research, Indian Institute of Science, Bengaluru, Karnataka 560012, India; Manipal Academy of Higher Education, Manipal, Karnataka 576104, India.
Lomous KumarCSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana 500007, India.
Urgyan ChorolGyan Lab, Cytogenetics Unit, Department of Zoology, Banaras Hindu University, Varanasi, Uttar Pradesh 221005, India.
Audditiya BandopadhyayGyan Lab, Cytogenetics Unit, Department of Zoology, Banaras Hindu University, Varanasi, Uttar Pradesh 221005, India.
A VasanthakumarCSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana 500007, India.
Nagarjuna PasupuletiCSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana 500007, India.
Tamilselvan JayaveluDepartment of Biotechnology, Anna University, Chennai, Tamil Nadu 600025, India.
Ajay K MahatoDBT-Centre for DNA Fingerprinting and Diagnostics, Hyderabad, Telangana 500039, India.
Periyasamy GovindarajDBT-Centre for DNA Fingerprinting and Diagnostics, Hyderabad, Telangana 500039, India; Department of Neuropathology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka 560029, India.
Gyaneshwer ChaubeyGyan Lab, Cytogenetics Unit, Department of Zoology, Banaras Hindu University, Varanasi, Uttar Pradesh 221005, India.
Bratati KahaliCentre for Brain Research, Indian Institute of Science, Bengaluru, Karnataka 560012, India.
Vivek T NatarajanCSIR- Institute of Genomics and Integrative Biology, New Delhi 110025, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India.
Kumarasamy ThangarajCSIR-Centre for Cellular and Molecular Biology, Hyderabad, Telangana 500007, India; Tata Institute for Genetics and Society, Bengaluru, Karnataka 560065, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, Uttar Pradesh 201002, India. Electronic address: thangs@ccmb.res.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The melanocortin 1 receptor (MC1R) is one of the fundamental proteins regulating skin and hair color in mammals. In India, the red hair color (RHC) phenotype is extremely rare. We analyzed MC1R and identified an ultra-rare pathogenic variant, c.872C>A (p.Ala291Asp), that is responsible for the RHC phenotype in an Indian child. Further, we screened the complete coding region of MC1R in a total of 11,021 individuals, representing 91 distinct Indian populations across India, and found a total of 21 novel or ultra-rare variants. In silico, in vitro, and zebrafish-based functional analysis showed that c.742G>T (p.Gly248Cys) and p.Ala291Asp variants lead to loss-of-function (LoF) effects. The distribution of some of these variants differed significantly among Indian populations. One of them is MC1R c.-226A>T (rs3212363), which is significantly associated with lighter skin pigmentation in the Bodh population inhabited in Ladakh. On average, TT homozygotes were 8.46 melanin units lighter compared with AA homozygotes (95% confidence interval [CI]: 3.211 to 13.72; adjusted p = 0.0005). Our study identifies and functionally validates ultra-rare MC1R variants as potential causes of RHC phenotype in Indians.

Indexed as

Hair ColorReceptor, Melanocortin, Type 1Skin PigmentationAnimalsFemaleHumansIndiaMalePhenotypeZebrafishMC1R protein, humanReceptor, Melanocortin, Type 1

Identifiers

PMID41935955
PMCPMC13125196

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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.