Evidence map›Paper›PMID 29959320›Full record

ArticleNature communications2018

Author Correction: GWAS for male-pattern baldness identifies 71 susceptibility loci explaining 38% of the risk.

Nicola Pirastu, Peter K Joshi, Paul S de Vries, Marilyn C Cornelis, Paul M McKeigue, NaNa Keum, Nora Franceschini, Marco Colombo, Edward L Giovannucci, Athina Spiliopoulou and 6 more

Abstract readPublished Erratum
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors.

Nicola PirastuCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland. nicola.pirastu@ed.ac.uk.ORCID http://orcid.org/0000-0002-5363-3886
Peter K JoshiCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland.ORCID http://orcid.org/0000-0002-6361-5059
Paul S de VriesHuman 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, 77030, USA.
Marilyn C CornelisDepartment of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60611, USA.
Paul M McKeigueCentre for Population Health Sciences, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland.
NaNa KeumDepartment of Food Science and Biotechnology, Dongguk University, Goyang, South Korea.
Nora FranceschiniDepartment of Epidemiology and Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, 27599, USA.
Marco ColomboCentre for Population Health Sciences, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland.
Edward L GiovannucciDepartment of Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA.
Athina SpiliopoulouCentre for Population Health Sciences, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland.
Lude FrankeDepartment of Genetics, University Medical Center, 9713 GZ, Gröningen, The Netherlands.ORCID http://orcid.org/0000-0002-5159-8802
Kari E NorthDepartment of Epidemiology and Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, NC, 27599, USA.
Peter KraftProgram in Genetic Epidemiology and Statistical Genetics, Harvard T. H. Chan School of Public Health, Boston, MA, 02115, USA.
Alanna C MorrisonHuman 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, 77030, USA.
Tõnu EskoEstonian Genome Center, University of Tartu, Tartu, 51010, Estonia.ORCID http://orcid.org/0000-0003-1982-6569
James F WilsonCentre for Global Health Research, Usher Institute of Population Health Sciences and Informatics, University of Edinburgh, Teviot Place, Edinburgh, EH8 9AG, Scotland.ORCID http://orcid.org/0000-0001-5751-9178

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID29959320
PMCPMC6026128

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