Nature Communications (Feb 2022)
Genome-wide association meta-analysis identifies 29 new acne susceptibility loci
- Brittany L. Mitchell,
- Jake R. Saklatvala,
- Nick Dand,
- Fiona A. Hagenbeek,
- Xin Li,
- Josine L. Min,
- Laurent Thomas,
- Meike Bartels,
- Jouke Jan Hottenga,
- Michelle K. Lupton,
- Dorret I. Boomsma,
- Xianjun Dong,
- Kristian Hveem,
- Mari Løset,
- Nicholas G. Martin,
- Jonathan N. Barker,
- Jiali Han,
- Catherine H. Smith,
- Miguel E. Rentería,
- Michael A. Simpson
Affiliations
- Brittany L. Mitchell
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute
- Jake R. Saklatvala
- Department of Medical and Molecular Genetics, King’s College London
- Nick Dand
- Department of Medical and Molecular Genetics, King’s College London
- Fiona A. Hagenbeek
- Department of Biological Psychology, Vrije Universiteit Amsterdam
- Xin Li
- Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health
- Josine L. Min
- MRC Integrative Epidemiology Unit, University of Bristol
- Laurent Thomas
- Department of Clinical and Molecular Medicine, Norwegian University of Science and Technology
- Meike Bartels
- Department of Biological Psychology, Vrije Universiteit Amsterdam
- Jouke Jan Hottenga
- Department of Biological Psychology, Vrije Universiteit Amsterdam
- Michelle K. Lupton
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute
- Dorret I. Boomsma
- Department of Biological Psychology, Vrije Universiteit Amsterdam
- Xianjun Dong
- Genomics and Bioinformatics Hub, Brigham and Women’s Hospital
- Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology
- Mari Løset
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology
- Nicholas G. Martin
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute
- Jonathan N. Barker
- St John’s Institute of Dermatology, Faculty of Life Sciences & Medicine, King’s College London
- Jiali Han
- Department of Epidemiology, Indiana University Richard M. Fairbanks School of Public Health
- Catherine H. Smith
- St John’s Institute of Dermatology, Faculty of Life Sciences & Medicine, King’s College London
- Miguel E. Rentería
- Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute
- Michael A. Simpson
- Department of Medical and Molecular Genetics, King’s College London
- DOI
- https://doi.org/10.1038/s41467-022-28252-5
- Journal volume & issue
-
Vol. 13,
no. 1
pp. 1 – 9
Abstract
Better understanding of the genetic basis of acne can pave the way to more effective treatments. Here, the authors perform a genome-wide association study meta-analysis of >20,000 cases and identify 29 new acne susceptibility loci, uncovering genetic links to Mendelian hair and skin disorders and other complex traits.