Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldnessCitation formats

  • External authors:
  • Stefanie Heilmann-Heimbach
  • Christine Herold
  • Lara M. Hochfeld
  • Axel M. Hillmer
  • Dale R. Nyholt
  • Julian Hecker
  • Asif Javed
  • Elaine G Y Chew
  • Sonali Pechlivanis
  • Dmitriy Drichel
  • Xiu Ting Heng
  • Ricardo C H Del Rosario
  • Heide L. Fier
  • Rico Rueedi
  • Tessel E. Galesloot
  • Susanne Moebus
  • Thomas Anhalt
  • Shyam Prabhakar
  • Rui Li
  • Stavroula Kanoni
  • George Papanikolaou
  • Zoltán Kutalik
  • Panos Deloukas
  • Michael P. Philpott
  • Gérard Waeber
  • Tim D. Spector
  • Peter Vollenweider
  • Lambertus A L M Kiemeney
  • George Dedoussis
  • J. Brent Richards
  • Michael Nothnagel
  • Nicholas G. Martin
  • Tim Becker
  • David A. Hinds
  • Markus M. Nöthen

Standard

Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness. / Heilmann-Heimbach, Stefanie; Herold, Christine; Hochfeld, Lara M.; Hillmer, Axel M.; Nyholt, Dale R.; Hecker, Julian; Javed, Asif; Chew, Elaine G Y; Pechlivanis, Sonali; Drichel, Dmitriy; Heng, Xiu Ting; Del Rosario, Ricardo C H; Fier, Heide L.; Paus, Ralf; Rueedi, Rico; Galesloot, Tessel E.; Moebus, Susanne; Anhalt, Thomas; Prabhakar, Shyam; Li, Rui; Kanoni, Stavroula; Papanikolaou, George; Kutalik, Zoltán; Deloukas, Panos; Philpott, Michael P.; Waeber, Gérard; Spector, Tim D.; Vollenweider, Peter; Kiemeney, Lambertus A L M; Dedoussis, George; Richards, J. Brent; Nothnagel, Michael; Martin, Nicholas G.; Becker, Tim; Hinds, David A.; Nöthen, Markus M.

In: Nature Communications, Vol. 8, 14694, 2017.

Research output: Contribution to journalArticle

Harvard

Heilmann-Heimbach, S, Herold, C, Hochfeld, LM, Hillmer, AM, Nyholt, DR, Hecker, J, Javed, A, Chew, EGY, Pechlivanis, S, Drichel, D, Heng, XT, Del Rosario, RCH, Fier, HL, Paus, R, Rueedi, R, Galesloot, TE, Moebus, S, Anhalt, T, Prabhakar, S, Li, R, Kanoni, S, Papanikolaou, G, Kutalik, Z, Deloukas, P, Philpott, MP, Waeber, G, Spector, TD, Vollenweider, P, Kiemeney, LALM, Dedoussis, G, Richards, JB, Nothnagel, M, Martin, NG, Becker, T, Hinds, DA & Nöthen, MM 2017, 'Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness' Nature Communications, vol. 8, 14694. https://doi.org/10.1038/ncomms14694

APA

Heilmann-Heimbach, S., Herold, C., Hochfeld, L. M., Hillmer, A. M., Nyholt, D. R., Hecker, J., ... Nöthen, M. M. (2017). Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness. Nature Communications, 8, [14694]. https://doi.org/10.1038/ncomms14694

Vancouver

Heilmann-Heimbach S, Herold C, Hochfeld LM, Hillmer AM, Nyholt DR, Hecker J et al. Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness. Nature Communications. 2017;8. 14694. https://doi.org/10.1038/ncomms14694

Author

Heilmann-Heimbach, Stefanie ; Herold, Christine ; Hochfeld, Lara M. ; Hillmer, Axel M. ; Nyholt, Dale R. ; Hecker, Julian ; Javed, Asif ; Chew, Elaine G Y ; Pechlivanis, Sonali ; Drichel, Dmitriy ; Heng, Xiu Ting ; Del Rosario, Ricardo C H ; Fier, Heide L. ; Paus, Ralf ; Rueedi, Rico ; Galesloot, Tessel E. ; Moebus, Susanne ; Anhalt, Thomas ; Prabhakar, Shyam ; Li, Rui ; Kanoni, Stavroula ; Papanikolaou, George ; Kutalik, Zoltán ; Deloukas, Panos ; Philpott, Michael P. ; Waeber, Gérard ; Spector, Tim D. ; Vollenweider, Peter ; Kiemeney, Lambertus A L M ; Dedoussis, George ; Richards, J. Brent ; Nothnagel, Michael ; Martin, Nicholas G. ; Becker, Tim ; Hinds, David A. ; Nöthen, Markus M. / Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness. In: Nature Communications. 2017 ; Vol. 8.

Bibtex

@article{8dbc649e3846489eb5711eeae3b20520,
title = "Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness",
abstract = "Male-pattern baldness (MPB) is a common and highly heritable trait characterized by androgen-dependent, progressive hair loss from the scalp. Here, we carry out the largest GWAS meta-analysis of MPB to date, comprising 10,846 early-onset cases and 11,672 controls from eight independent cohorts. We identify 63 MPB-associated loci (P<5 × 10-8, METAL) of which 23 have not been reported previously. The 63 loci explain ∼39{\%} of the phenotypic variance in MPB and highlight several plausible candidate genes (FGF5, IRF4, DKK2) and pathways (melatonin signalling, adipogenesis) that are likely to be implicated in the key-pathophysiological features of MPB and may represent promising targets for the development of novel therapeutic options. The data provide molecular evidence that rather than being an isolated trait, MPB shares a substantial biological basis with numerous other human phenotypes and may deserve evaluation as an early prognostic marker, for example, for prostate cancer, sudden cardiac arrest and neurodegenerative disorders.",
author = "Stefanie Heilmann-Heimbach and Christine Herold and Hochfeld, {Lara M.} and Hillmer, {Axel M.} and Nyholt, {Dale R.} and Julian Hecker and Asif Javed and Chew, {Elaine G Y} and Sonali Pechlivanis and Dmitriy Drichel and Heng, {Xiu Ting} and {Del Rosario}, {Ricardo C H} and Fier, {Heide L.} and Ralf Paus and Rico Rueedi and Galesloot, {Tessel E.} and Susanne Moebus and Thomas Anhalt and Shyam Prabhakar and Rui Li and Stavroula Kanoni and George Papanikolaou and Zolt{\'a}n Kutalik and Panos Deloukas and Philpott, {Michael P.} and G{\'e}rard Waeber and Spector, {Tim D.} and Peter Vollenweider and Kiemeney, {Lambertus A L M} and George Dedoussis and Richards, {J. Brent} and Michael Nothnagel and Martin, {Nicholas G.} and Tim Becker and Hinds, {David A.} and N{\"o}then, {Markus M.}",
year = "2017",
doi = "10.1038/ncomms14694",
language = "English",
volume = "8",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Springer Nature",

}

RIS

TY - JOUR

T1 - Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness

AU - Heilmann-Heimbach, Stefanie

AU - Herold, Christine

AU - Hochfeld, Lara M.

AU - Hillmer, Axel M.

AU - Nyholt, Dale R.

AU - Hecker, Julian

AU - Javed, Asif

AU - Chew, Elaine G Y

AU - Pechlivanis, Sonali

AU - Drichel, Dmitriy

AU - Heng, Xiu Ting

AU - Del Rosario, Ricardo C H

AU - Fier, Heide L.

AU - Paus, Ralf

AU - Rueedi, Rico

AU - Galesloot, Tessel E.

AU - Moebus, Susanne

AU - Anhalt, Thomas

AU - Prabhakar, Shyam

AU - Li, Rui

AU - Kanoni, Stavroula

AU - Papanikolaou, George

AU - Kutalik, Zoltán

AU - Deloukas, Panos

AU - Philpott, Michael P.

AU - Waeber, Gérard

AU - Spector, Tim D.

AU - Vollenweider, Peter

AU - Kiemeney, Lambertus A L M

AU - Dedoussis, George

AU - Richards, J. Brent

AU - Nothnagel, Michael

AU - Martin, Nicholas G.

AU - Becker, Tim

AU - Hinds, David A.

AU - Nöthen, Markus M.

PY - 2017

Y1 - 2017

N2 - Male-pattern baldness (MPB) is a common and highly heritable trait characterized by androgen-dependent, progressive hair loss from the scalp. Here, we carry out the largest GWAS meta-analysis of MPB to date, comprising 10,846 early-onset cases and 11,672 controls from eight independent cohorts. We identify 63 MPB-associated loci (P<5 × 10-8, METAL) of which 23 have not been reported previously. The 63 loci explain ∼39% of the phenotypic variance in MPB and highlight several plausible candidate genes (FGF5, IRF4, DKK2) and pathways (melatonin signalling, adipogenesis) that are likely to be implicated in the key-pathophysiological features of MPB and may represent promising targets for the development of novel therapeutic options. The data provide molecular evidence that rather than being an isolated trait, MPB shares a substantial biological basis with numerous other human phenotypes and may deserve evaluation as an early prognostic marker, for example, for prostate cancer, sudden cardiac arrest and neurodegenerative disorders.

AB - Male-pattern baldness (MPB) is a common and highly heritable trait characterized by androgen-dependent, progressive hair loss from the scalp. Here, we carry out the largest GWAS meta-analysis of MPB to date, comprising 10,846 early-onset cases and 11,672 controls from eight independent cohorts. We identify 63 MPB-associated loci (P<5 × 10-8, METAL) of which 23 have not been reported previously. The 63 loci explain ∼39% of the phenotypic variance in MPB and highlight several plausible candidate genes (FGF5, IRF4, DKK2) and pathways (melatonin signalling, adipogenesis) that are likely to be implicated in the key-pathophysiological features of MPB and may represent promising targets for the development of novel therapeutic options. The data provide molecular evidence that rather than being an isolated trait, MPB shares a substantial biological basis with numerous other human phenotypes and may deserve evaluation as an early prognostic marker, for example, for prostate cancer, sudden cardiac arrest and neurodegenerative disorders.

UR - http://www.scopus.com/inward/record.url?scp=85014867125&partnerID=8YFLogxK

U2 - 10.1038/ncomms14694

DO - 10.1038/ncomms14694

M3 - Article

VL - 8

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

M1 - 14694

ER -