Abstract

We have been alerted that in our recent Article the calculations used to transform the heritability from the observed scale to the liability scale did not take into account the individuals in category 2 of the baldness scale, who were removed in our original analysis. This led to an overestimation of the heritability on the liability scale, which should have been 0.62 instead of 0.94. Moreover, in the Title and in the Abstract, we report that we can explain 38% of the risk, while in fact that is the proportion of heritability explained by the loci we discovered. These errors do not substantially change the paper or its conclusions apart from the statement MBP is therefore probably one of the most heritable complex traits. Genome-wide significant associations and pathway analyses are not affected in any way and male-pattern baldness remains less genetically complex than other complex traits. We wish to thank Yap et al. for bringing this to our attention.

Details

Title
Author Correction: GWAS for male-pattern baldness identifies 71 susceptibility loci explaining 38% of the risk
Author
Pirastu, Nicola 1   VIAFID ORCID Logo  ; Joshi, Peter K 1   VIAFID ORCID Logo  ; de Vries, Paul S 2 ; Cornelis, Marilyn C 3 ; McKeigue, Paul M 4 ; Keum, NaNa 5 ; Franceschini, Nora 6 ; Colombo, Marco 4 ; Giovannucci, Edward L 7 ; Spiliopoulou, Athina 8 ; Franke, Lude 9   VIAFID ORCID Logo  ; North, Kari E 6 ; Kraft, Peter 10 ; Morrison, Alanna C 2 ; Tõnu Esko 11   VIAFID ORCID Logo  ; Wilson, James F 12   VIAFID ORCID Logo 

1  Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland 
2  Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA 
3  Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA 
4  Centre for Population Health Sciences, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland 
5  Department of Food Science and Biotechnology, Dongguk University, Goyang, South Korea; Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA 
6  Department of Epidemiology and Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, USA 
7  Department of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Department of Epidemiology, Harvard T. H. Chan School of Public Health, Boston, MA, USA; Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA 
8  Centre for Population Health Sciences, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland; Pharmatics Ltd, Edinburgh, Scotland 
9  Department of Genetics, University Medical Center, Gröningen, The Netherlands 
10  Program in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, MA, USA 
11  Estonian Genome Center, University of Tartu, Tartu, Estonia; Broad Institute of Harvard and MIT, Cambridge, MA, USA 
12  Centre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Edinburgh, Scotland; MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Crewe Road, Edinburgh, Scotland 
Pages
1-1
Publication year
2018
Publication date
Jun 2018
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41467-018-04857-7
ProQuest document ID
2061817580
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.