| Title: | Genome-wide association meta-analysis of individuals of European ancestry identifies new loci explaining a substantial fraction of hair color variation and heritability |
| Journal: | Nature Genetics |
| Published: | 16 Apr 2018 |
| Pubmed: | https://pubmed.ncbi.nlm.nih.gov/29662168/ |
| DOI: | https://doi.org/10.1038/s41588-018-0100-5 |
| URL: | https://kclpure.kcl.ac.uk/ws/files/95150291/Genome_wide_association_HYSI_Accepted7March2018_GREEN_AAM.pdf |
| Citations: | 93 (13 in last 2 years) as of 8 Aug 2024 |
Publication 7347
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Abstract
Hair color is one of the most recognizable visual traits in European populations and is under strong genetic control. Here we report the results of a genome-wide association study meta-analysis of almost 300,000 participants of European descent. We identified 123 autosomal and one X-chromosome loci significantly associated with hair color; all but 13 are novel. Collectively, single-nucleotide polymorphisms associated with hair color within these loci explain 34.6% of red hair, 24.8% of blond hair, and 26.1% of black hair heritability in the study populations. These results confirm the polygenic nature of complex phenotypes and improve our understanding of melanin pigment metabolism in humans.</p>
13 Keywords
- Aged
- Chromosomes, Human, X
- Female
- Genetic Loci
- Genome-Wide Association Study
- Hair Color
- Humans
- Male
- Middle Aged
- Multifactorial Inheritance
- Phenotype
- Polymorphism, Single Nucleotide
- White People
45 Authors
- Pirro G. Hysi
- Ana M. Valdes
- Fan Liu
- Nicholas A. Furlotte
- David M. Evans
- Veronique Bataille
- Alessia Visconti
- Gibran Hemani
- George McMahon
- Susan M. Ring
- George Davey Smith
- David L. Duffy
- Gu Zhu
- Scott D. Gordon
- Sarah E. Medland
- Bochao D. Lin
- Gonneke Willemsen
- Jouke Jan Hottenga
- Dragana Vuckovic
- Giorgia Girotto
- Ilaria Gandin
- Cinzia Sala
- Maria Pina Concas
- Marco Brumat
- Paolo Gasparini
- Daniela Toniolo
- Massimiliano Cocca
- Antonietta Robino
- Seyhan Yazar
- Alex W. Hewitt
- Yan Chen
- Changqing Zeng
- Andre G. Uitterlinden
- M. Arfan Ikram
- Merel A. Hamer
- Cornelia M. van Duijn
- Tamar Nijsten
- David A. Mackey
- Mario Falchi
- Dorret I. Boomsma
- Nicholas G. Martin
- The International Visible Trait Genetics Consortium
- David A. Hinds
- Manfred Kayser
- Timothy D. Spector
1 Application
| Application ID | Title |
|---|---|
| 12052 | Study of genetic factors altering susceptibility to quantitative traits underlying skin cancer |
Enabling scientific discoveries that improve human health