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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
  • , Lavinia Schuler-Faccini
  • , Maria Catira Bortolini
  • , Victor Acuna-Alonzo
  • , Samuel Canizales-Quinteros
  • , Carla Gallo
  • , Giovanni Poletti
  • , Gabriel Bedoya
  • , Francisco Rothhammer
  • , Jiucun Wang
  • , Jingze Tan
  • Ziyu Yuan, Li Jin, André G. Uitterlinden, Mohsen Ghanbari, M. Arfan Ikram, Tamar Nijsten, Xiangyu Zhu, Zhen Lei, Peilin Jia, Andres Ruiz-Linares, Timothy D. Spector, Sijia Wang, Manfred Kayser, Fan Liu
  • CAS - Shanghai Institute of Nutrition and Health
  • CAS - Beijing Institute of Genomics
  • Erasmus University Rotterdam
  • Shanghai Jiao Tong University
  • Fudan University
  • King's College London
  • Beijing No.8 High School
  • University College London
  • Open University Milton Keynes
  • CAS - Institute of Automation
  • University of Chinese Academy of Sciences
  • Consejo Nacional de Investigaciones Científicas y Técnicas
  • Universidade Federal do Rio Grande do Sul
  • National School of Anthropology and History
  • Instituto Nacional de Medicina Genomica
  • Universidad Peruana Cayetano Heredia
  • Universidad de Antioquia
  • Fudan-Taizhou Institute of Health Sciences
  • ADES
  • Chinese Academy of Sciences

Research output: Contribution to journalArticlepeer-review

6 Scopus citations

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.

Original languageEnglish
Article numbere1010786
JournalPLoS Genetics
Volume19
Issue number7 July
DOIs
StatePublished - 17 Jul 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

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