Evidence map›Paper›PMID 32580135›Full record

ArticleEBioMedicine2020

Alopecia areata susceptibility variant in MHC region impacts expressions of genes contributing to hair keratinization and is involved in hair loss.

Akira Oka, Atsushi Takagi, Etsuko Komiyama, Nagisa Yoshihara, Shuhei Mano, Kazuyoshi Hosomichi, Shingo Suzuki, Yuko Haida, Nami Motosugi, Tomomi Hatanaka and 13 more

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

20 citing papers in PubMed, 36 citations in OpenAlex.

  1. Article
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  9. Genetic association between asthma and alopecia areata: A two-sample Mendelian randomization study.Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI) · 2024
    Article
  10. Deciphering the Complex Immunopathogenesis of Alopecia Areata.International journal of molecular sciences · 2024
    Review
  11. Review
  12. Article
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  14. Current issues in molecular biology · 2023
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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

23 authors at 5 institutions in 2 countries.

Akira OkaThe Institute of Medical Sciences, Tokai University, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan. Electronic address: oka246@is.icc.u-tokai.ac.jp.
Atsushi TakagiDepartment of Dermatology and Allergology, and Atopy (Allergy) Research Center, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo, Tokyo 113-8421, Japan.
Etsuko KomiyamaDepartment of Dermatology and Allergology, and Atopy (Allergy) Research Center, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo, Tokyo 113-8421, Japan.
Nagisa YoshiharaDepartment of Dermatology and Allergology, and Atopy (Allergy) Research Center, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo, Tokyo 113-8421, Japan.
Shuhei ManoDepartment of Mathematical Analysis and Statistical Inference, The Institute of Statistical Mathematics, 10-3 Midori-cho, Tachikawa, Tokyo 190-8562, Japan.
Kazuyoshi HosomichiDepartment of Bioinformatics and Genomics, Graduate School of Advanced Preventive Medical Sciences, Kanazawa University, Takara-machi 13-1, Kanazawa, Ishikawa 920-8640, Japan.
Shingo SuzukiDepartment of Molecular Life Sciences, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan.
Yuko HaidaDepartment of Molecular Life Sciences, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan.
Nami MotosugiThe Institute of Medical Sciences, Tokai University, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan; Department of Molecular Life Sciences, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan.
Tomomi HatanakaDepartment of Molecular Life Sciences, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan; School of Pharmacy, Faculty of Pharmacy and Pharmaceutical Sciences, Josai University, Sakado, Saitama, 350-0295, Japan.
Minoru KimuraThe Institute of Medical Sciences, Tokai University, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan.
Mahoko Takahashi UedaMicro/Nano Technology Center, Tokai University, Kanagawa, Japan.
So NakagawaThe Institute of Medical Sciences, Tokai University, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan; Department of Molecular Life Sciences, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan; Micro/Nano Technology Center, Tokai University, Kanagawa, Japan.
Hiromi MiuraDepartment of Molecular Life Sciences, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan; Center for Matrix Biology and Medicine, Graduate School of Medicine, Tokai University, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan.
Masato OhtsukaThe Institute of Medical Sciences, Tokai University, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan; Department of Molecular Life Sciences, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan; Center for Matrix Biology and Medicine, Graduate School of Medicine, Tokai University, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan.
Masayuki TanakaDepertment of Bioinformatics, Support Center for Medical Research and Education, Tokai University, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan.
Tomoyoshi KomiyamaDepartment of Clinical Pharmacology, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan.
Asako OtomoDepartment of Molecular Life Sciences, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan; Micro/Nano Technology Center, Tokai University, Kanagawa, Japan.
Shinji HadanoThe Institute of Medical Sciences, Tokai University, 143 Shimokasuya, Isehara, Kanagawa, 259-1193, Japan; Department of Molecular Life Sciences, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan; Micro/Nano Technology Center, Tokai University, Kanagawa, Japan.
Tomotaka MabuchiDepartment of Dermatology, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan.
Stephan BeckMedical Genomics, UCL Cancer Institute, University College London, London WC1E 6BT, United Kingdom.
Hidetoshi InokoDepartment of Molecular Life Sciences, Division of Basic Medical Science and Molecular Medicine, Tokai University School of Medicine, 143 Shimokasuya, Isehara, Kanagawa 259-1193, Japan.
Shigaku IkedaDepartment of Dermatology and Allergology, and Atopy (Allergy) Research Center, Juntendo University Graduate School of Medicine, 2-1-1 Hongo, Bunkyo, Tokyo 113-8421, Japan. Electronic address: ikeda@juntendo.ac.jp.
Tokai University · JPJuntendo University · JPKanazawa University · JPThe Institute of Statistical Mathematics · JPUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlopecia areata (AA) is considered a highly heritable, T-cell-mediated autoimmune disease of the hair follicle. However, no convincing susceptibility gene has yet been pinpointed in the major histocompatibility complex (MHC), a genome region known to be associated with AA as compared to other regions.

methodsWe engineered mice carrying AA risk allele identified by haplotype sequencing for the MHC region using allele-specific genome editing with the CRISPR/Cas9 system. Finally, we performed functional evaluations in the mice and AA patients with and without the risk allele.

findingsWe identified a variant (rs142986308, p.Arg587Trp) in the coiled-coil alpha-helical rod protein 1 (CCHCR1) gene as the only non-synonymous variant in the AA risk haplotype. Furthermore, mice engineered to carry the risk allele displayed a hair loss phenotype. Transcriptomics further identified CCHCR1 as a novel component interacting with hair cortex keratin in hair shafts. Both, these alopecic mice and AA patients with the risk allele displayed morphologically impaired hair and comparable differential expression of hair-related genes, including hair keratin and keratin-associated proteins (KRTAPs).

interpretationOur results implicate CCHCR1 with the risk allele in a previously unidentified subtype of AA based on aberrant keratinization in addition to autoimmune events.

fundingThis work was supported by JSPS KAKENHI (JP16K10177) and the NIHR UCLH Biomedical Research center (BRC84/CN/SB/5984).

Indexed as

Genetic Predisposition to DiseaseAllelesAlopecia AreataAnimalsAutoimmune DiseasesCarrier ProteinsDisease Models, AnimalGenomeHairHair FollicleHaplotypesHumansIntracellular Signaling Peptides and ProteinsKeratinsKeratins, Hair-SpecificMajor Histocompatibility ComplexCarrier ProteinsCCHCR1 protein, humanIntracellular Signaling Peptides and ProteinsKeratinsKeratins, Hair-SpecificStAR-binding protein, mouseAlopecia areataAssociationCRISPR/Cas9HaplotypeMHCSequencing

Identifiers

PMID32580135
PMCPMC7317227
OpenAlexW3036508293

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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.