Evidence map›Paper›PMID 29220522›Full record

SynthesisHuman molecular genetics2018

Meta-analysis of genome-wide association studies identifies 8 novel loci involved in shape variation of human head hair.

Fan Liu, Yan Chen, Gu Zhu, Pirro G Hysi, Sijie Wu, Kaustubh Adhikari, Krystal Breslin, Ewelina Pospiech, Merel A Hamer, Fuduan Peng and 24 more

Open access · bronzeAbstract readMeta-Analysis
In one paragraph

Synthesis in Human molecular genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
7.3field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 78 citations in OpenAlex.

  1. Article
  2. Article
  3. A Comprehensive Review of GWASs of Human Hair Traits.The Journal of investigative dermatology · 2025
    Review
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  11. Evidence of Selection in the Ectodysplasin Pathway among Endangered Aquatic Mammals.Integrative organismal biology (Oxford, England) · 2022
    Article
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  15. Review
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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

34 authors at 16 institutions in 13 countries.

Fan LiuKey Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Yan ChenKey Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Gu ZhuQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Pirro G HysiDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Sijie WuUniversity of Chinese Academy of Sciences, Beijing, China.
Kaustubh AdhikariDepartment of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, UK.
Krystal BreslinDepartment of Biology, Indiana-University-Purdue-University-Indianapolis (IUPUI), Indianapolis, IN, USA.
Ewelina PospiechInstitute of Zoology and Biomedical Research, Faculty of Biology and Earth Sciences, Jagiellonian University, Kraków, Poland.
Merel A HamerDepartment of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Fuduan PengKey Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Charanya MuralidharanDepartment of Biology, Indiana-University-Purdue-University-Indianapolis (IUPUI), Indianapolis, IN, USA.
Victor Acuna-AlonzoLaboratorio de Genética Molecular, Escuela Nacional de Antropologia e Historia, México City, México.
Samuel Canizales-QuinterosUnidad de Genómica de Poblaciones Aplicada a la Salud, Facultad de Química, UNAM-Instituto Nacional de Medicina Genómica, México City, México.
Gabriel BedoyaGENMOL (Genética Molecular), Universidad de Antioquia, Medellín, Colombia.
Carla GalloLaboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú.
Giovanni PolettiLaboratorios de Investigación y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Lima, Perú.
Francisco RothhammerInstituto de Alta Investigación, Universidad de Tarapacá, Arica, Chile.
Maria Catira BortoliniDepartamento de Genética, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brasil.
Rolando Gonzalez-JoseInstituto Patagónico de Ciencias Sociales y Humanas, CENPAT-CONICET, Puerto Madryn, Argentina.
Changqing ZengKey Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing, China.
Shuhua XuUniversity of Chinese Academy of Sciences, Beijing, China.
Li JinUniversity of Chinese Academy of Sciences, Beijing, China.
André G UitterlindenDepartment of Internal Medicine, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
M Arfan IkramDepartment of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Cornelia M van DuijnDepartment of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Tamar NijstenDepartment of Dermatology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Susan WalshDepartment of Biology, Indiana-University-Purdue-University-Indianapolis (IUPUI), Indianapolis, IN, USA.
Wojciech BranickiMalopolska Centre of Biotechnology, Jagiellonian University, Kraków, Poland.
Sijia WangUniversity of Chinese Academy of Sciences, Beijing, China.
Andrés Ruiz-LinaresDepartment of Genetics, Evolution, and Environment, University College London, London WC1E 6BT, UK.
Timothy D SpectorDepartment of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Nicholas G MartinQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Sarah E MedlandQIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia.
Manfred KayserDepartment of Genetic Identification, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.
Erasmus MC · NLChinese Academy of Sciences · CNIndiana University – Purdue University Indianapolis · USQIMR Berghofer Medical Research Institute · AUUniversity of Chinese Academy of Sciences · CNFudan University · CNJagiellonian University · PLKing's College London · GBUniversidad Peruana Cayetano Heredia · PECentro Científico Tecnológico Patagónico · ARNational Institute of Anthropology and History · MXNational Institute of Genomic Medicine · MXUniversidad de Antioquia · COUniversidade Federal do Rio Grande do Sul · BRUniversity College London · GBUniversity of Tarapacá · CL

Funding

Wellcome Trust
6 · The paper itself

Abstract

Shape variation of human head hair shows striking variation within and between human populations, while its genetic basis is far from being understood. We performed a series of genome-wide association studies (GWASs) and replication studies in a total of 28 964 subjects from 9 cohorts from multiple geographic origins. A meta-analysis of three European GWASs identified 8 novel loci (1p36.23 ERRFI1/SLC45A1, 1p36.22 PEX14, 1p36.13 PADI3, 2p13.3 TGFA, 11p14.1 LGR4, 12q13.13 HOXC13, 17q21.2 KRTAP, and 20q13.33 PTK6), and confirmed 4 previously known ones (1q21.3 TCHH/TCHHL1/LCE3E, 2q35 WNT10A, 4q21.21 FRAS1, and 10p14 LINC00708/GATA3), all showing genome-wide significant association with hair shape (P < 5e-8). All except one (1p36.22 PEX14) were replicated with nominal significance in at least one of the 6 additional cohorts of European, Native American and East Asian origins. Three additional previously known genes (EDAR, OFCC1, and PRSS53) were confirmed at the nominal significance level. A multivariable regression model revealed that 14 SNPs from different genes significantly and independently contribute to hair shape variation, reaching a cross-validated AUC value of 0.66 (95% CI: 0.62-0.70) and an AUC value of 0.64 in an independent validation cohort, providing an improved accuracy compared with a previous model. Prediction outcomes of 2504 individuals from a multiethnic sample were largely consistent with general knowledge on the global distribution of hair shape variation. Our study thus delivers target genes and DNA variants for future functional studies to further evaluate the molecular basis of hair shape in humans.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyHairHumansPolymorphism, Single Nucleotide

Identifiers

PMID29220522
PMCPMC5886212
OpenAlexW2773477967

What OpenQuestion holds

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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.