Evidence map›Paper›PMID 37459304›Full record

SynthesisPLoS genetics2023

Combined genome-wide association study of 136 quantitative ear morphology traits in multiple populations reveal 8 novel loci.

Yi Li, Ziyi Xiong, Manfei Zhang, Pirro G Hysi, Yu Qian, Kaustubh Adhikari, Jun Weng, Sijie Wu, Siyuan Du, Rolando Gonzalez-Jose and 24 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in PLoS genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Forensic genetics in the omics era.Nature reviews. Genetics · 2026
    Review
  2. Article
  3. 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

34 authors at 14 institutions in 10 countries.

Yi LiCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, China.
Ziyi XiongDepartment of Genetic Identification, Erasmus MC, University Medical Center, the Netherlands.
Manfei ZhangCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, China.
Pirro G HysiDepartment of Twin Research and Genetic Epidemiology, King's College London, United Kingdom.
Yu QianCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, China.
Kaustubh AdhikariDepartment of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, United Kingdom.
Jun WengCenter for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China.
Sijie WuCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, China.
Siyuan DuCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, China.
Rolando Gonzalez-JoseInstituto Patagonico de Ciencias Sociales y Humanas, Centro Nacional Patagonico, CONICET, Argentina.
Lavinia Schuler-FacciniDepartamento de Genetica, Universidade Federal do Rio Grande do Sul, Brasil.
Maria-Catira BortoliniDepartamento de Genetica, Universidade Federal do Rio Grande do Sul, Brasil.
Victor Acuna-AlonzoMolecular Genetics Laboratory, National School of Anthropology and History, Mexico.
Samuel Canizales-QuinterosUnidad de Genomica de Poblaciones Aplicada a la Salud, Facultad de Quimica, UNAM-Instituto Nacional de Medicina Genomica, Mexico.
Carla GalloLaboratorios de Investigacion y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Peru.
Giovanni PolettiLaboratorios de Investigacion y Desarrollo, Facultad de Ciencias y Filosofía, Universidad Peruana Cayetano Heredia, Peru.
Gabriel BedoyaGENMOL (Genetica Molecular), Universidad de Antioquia, Medellin, Colombia.
Francisco RothhammerInstituto de Alta Investigacion, Universidad de Tarapaca, Chile.
Jiucun WangState Key Laboratory of Genetic Engineering, Human Phenome Institute, Zhangjiang Fudan International Innovation Center, Fudan University, China.
Jingze TanMinistry of Education Key Laboratory of Contemporary Anthropology, Collaborative Innovation Center for Genetics and Development, School of Life Sciences, Fudan University, China.
Ziyu YuanFudan-Taizhou Institute of Health Sciences, China.
Li JinCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, China.
André G UitterlindenDepartment of Epidemiology, Erasmus MC, University Medical Center, the Netherlands.
Mohsen GhanbariDepartment of Epidemiology, Erasmus MC, University Medical Center, the Netherlands.
M Arfan IkramDepartment of Epidemiology, Erasmus MC, University Medical Center, the Netherlands.
Tamar NijstenDepartment of Dermatology, Erasmus MC, University Medical Center, the Netherlands.
Xiangyu ZhuCenter for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China.
Zhen LeiCenter for Biometrics and Security Research & National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, China.
Peilin JiaCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, China.
Andres Ruiz-LinaresDepartment of Genetics, Evolution and Environment, and UCL Genetics Institute, University College London, United Kingdom.
Timothy D SpectorDepartment of Twin Research and Genetic Epidemiology, King's College London, United Kingdom.
Sijia WangCAS Key Laboratory of Computational Biology, Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, China.
Manfred KayserDepartment of Genetic Identification, Erasmus MC, University Medical Center, the Netherlands.
Fan LiuCAS Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics, Chinese Academy of Sciences, China.ORCID 0000-0001-9241-8161
Chinese Academy of Sciences · CNErasmus MC · NLFudan University · CNKing's College London · GBShanghai Jiao Tong University · CNUniversidade Federal do Rio Grande do Sul · BRUniversidad Peruana Cayetano Heredia · PECentre National de la Recherche Scientifique · FRCentro Científico Tecnológico Patagónico · ARNational Institute of Anthropology and History · MXNational Institute of Genomic Medicine · MXThe Open University · GBUniversidad de Antioquia · COUniversity of Tarapacá · CL

Funding

Biotechnology and Biological Sciences Research Council BB/I021213/1Department of HealthMedical Research CouncilVersus ArthritisWellcome Trust
6 · The paper itself

Abstract

Human ear morphology, a complex anatomical structure represented by a multidimensional set of correlated and heritable phenotypes, has a poorly understood genetic architecture. In this study, we quantitatively assessed 136 ear morphology traits using deep learning analysis of digital face images in 14,921 individuals from five different cohorts in Europe, Asia, and Latin America. Through GWAS meta-analysis and C-GWASs, a recently introduced method to effectively combine GWASs of many traits, we identified 16 genetic loci involved in various ear phenotypes, eight of which have not been previously associated with human ear features. Our findings suggest that ear morphology shares genetic determinants with other surface ectoderm-derived traits such as facial variation, mono eyebrow, and male pattern baldness. Our results enhance the genetic understanding of human ear morphology and shed light on the shared genetic contributors of different surface ectoderm-derived phenotypes. Additionally, gene editing experiments in mice have demonstrated that knocking out the newly ear-associated gene (Intu) and a previously ear-associated gene (Tbx15) causes deviating mouse ear morphology.

Indexed as

Genetic LociGenome-Wide Association StudyAnimalsAsiaHumansMaleMicePhenotypePolymorphism, Single Nucleotide

Identifiers

PMID37459304
PMCPMC10351707
OpenAlexW4384500479

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.