Evidence map›Paper›PMID 42816500›Full record

ArticleJournal of human genetics2026

MC1R variants in four Chinese children with red hair and hypopigmentation.

Yingzi Zhang, Qiaorong Huang, Xiaojing Chen, Xuyun Hu, Aihua Wei

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Article in Journal of human genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yingzi ZhangDepartment of Dermatology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Qiaorong HuangDepartment of Dermatology, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Xiaojing ChenBeijing Key Laboratory for Genetics of Birth Defects, Beijing Key Laboratory of Precision Diagnosis and Innovative Translational Research for Pediatric Rare Diseases, Beijing Pediatric Research Institute; MOE Key Laboratory of Major Diseases in Children; Genetics and Birth Defects Control Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Xuyun HuBeijing Key Laboratory for Genetics of Birth Defects, Beijing Key Laboratory of Precision Diagnosis and Innovative Translational Research for Pediatric Rare Diseases, Beijing Pediatric Research Institute; MOE Key Laboratory of Major Diseases in Children; Genetics and Birth Defects Control Center, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China. hu_xuyun@126.com.ORCID http://orcid.org/0000-0003-4345-5024
Aihua WeiDepartment of Dermatology, Beijing Tongren Hospital, Capital Medical University, Beijing, China. weiaihua3000@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Loss-of-function variants in the melanocortin 1 receptor (MC1R) gene are a well-established cause of red hair in European populations. However, the genetic spectrum and phenotypic effects of MC1R variants in East Asians remain poorly defined, as red hair is exceedingly rare in this population. To characterize the clinical and genetic features of MC1R-associated red hair and hypopigmentation in Chinese pediatric patients and to expand the genotypic spectrum of MC1R in East Asian populations, four unrelated Chinese children with red or reddish-brown hair underwent comprehensive dermatologic and ophthalmologic assessments and whole-exome sequencing. All MC1R variants were confirmed by Sanger sequencing, and parental samples were analyzed to determine inheritance. In silico prediction tools and structural modeling were used to assess potential pathogenicity and protein-level impact. Seven MC1R variants were identified, including three novel variants: one frameshift (p.Ala28Thrfs*23) and two missense variants (p.Pro295Leu and p.Ser90Asn). Patients carrying compound heterozygous variants showed more pronounced hypopigmentation with bright red hair, whereas the heterozygous carrier of p.Thr157Ile exhibited a milder phenotype. Structural modeling suggested that these variants likely affect transmembrane or intracellular regions of the receptor, potentially altering protein conformation and impairing signaling function. No pathogenic variants in classic oculocutaneous albinism genes were detected. This study expands the genotypic spectrum of MC1R and demonstrates that MC1R deficiency alone can result in an "albinism-like" red hair phenotype in East Asian populations. These findings support including MC1R in the differential diagnosis for Asian patients with unexplained red hair and mild hypopigmentation.

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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.