Literature DB >> 16127116

Hair loss among elderly men: etiology and impact on perceived age.

Helle Rexbye1, Inge Petersen, Maria Iachina, Jakob Mortensen, Matt McGue, James W Vaupel, Kaare Christensen.   

Abstract

BACKGROUND: Androgenetic alopecia is the most common type of hair loss in men, but little is known about the etiology of androgenetic alopecia in elderly men and its impact on perceived age. Here we used a population-based twin study of men aged 70+ to assess the magnitude of the genetic component affecting hair loss and to examine the association between baldness and perceived age.
METHODS: In the fourth wave of The Longitudinal Study of Aging Danish Twins we obtained digital photos of the face and photos of the vertex area of 739 elderly male twins, including 148 intact twin pairs. The degree of baldness and perceived age were assessed in each twin by five and nine nurses, respectively. The heritability of balding was estimated using structural-equation analysis, and it was tested whether baldness was associated with estimations of age.
RESULTS: The intrapair correlation of degree of balding was consistently higher for monozygotic than for dizygotic twin pairs regardless of the baldness categorization used, and structural-equation analysis revealed a heritability of 79% (95% confidence interval, 0.40--0.85) for the mean baldness index. The remaining variation could be attributed to non-shared environmental effects. There was only a very weak and statistically nonsignificant association between baldness and overestimation of age.
CONCLUSIONS: The majority of the variation in baldness in elderly men can be explained by genetic factors, and hair quantity has little impact on perceived age in elderly men.

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Year:  2005        PMID: 16127116     DOI: 10.1093/gerona/60.8.1077

Source DB:  PubMed          Journal:  J Gerontol A Biol Sci Med Sci        ISSN: 1079-5006            Impact factor:   6.053


  9 in total

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Authors:  Fan Liu; Merel A Hamer; Stefanie Heilmann; Christine Herold; Susanne Moebus; Albert Hofman; André G Uitterlinden; Markus M Nöthen; Cornelia M van Duijn; Tamar Ec Nijsten; Manfred Kayser
Journal:  Eur J Hum Genet       Date:  2015-10-28       Impact factor: 4.246

2.  How reliable is apparent age at death on cadavers?

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3.  Genome-wide scan and fine-mapping linkage study of androgenetic alopecia reveals a locus on chromosome 3q26.

Authors:  Axel M Hillmer; Antonia Flaquer; Sandra Hanneken; Sibylle Eigelshoven; Anne-Katrin Kortüm; Felix F Brockschmidt; Astrid Golla; Christine Metzen; Holger Thiele; Susanne Kolberg; Roman Reinartz; Regina C Betz; Thomas Ruzicka; Hans Christian Hennies; Roland Kruse; Markus M Nöthen
Journal:  Am J Hum Genet       Date:  2008-02-21       Impact factor: 11.025

4.  Evaluation of DNA variants associated with androgenetic alopecia and their potential to predict male pattern baldness.

Authors:  Magdalena Marcińska; Ewelina Pośpiech; Sarah Abidi; Jeppe Dyrberg Andersen; Margreet van den Berge; Ángel Carracedo; Mayra Eduardoff; Anna Marczakiewicz-Lustig; Niels Morling; Titia Sijen; Małgorzata Skowron; Jens Söchtig; Denise Syndercombe-Court; Natalie Weiler; Peter M Schneider; David Ballard; Claus Børsting; Walther Parson; Chris Phillips; Wojciech Branicki
Journal:  PLoS One       Date:  2015-05-22       Impact factor: 3.240

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Authors:  N Keum; Y Cao; D H Lee; S M Park; B Rosner; C S Fuchs; K Wu; E L Giovannucci
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6.  Meta-analysis identifies novel risk loci and yields systematic insights into the biology of male-pattern baldness.

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7.  Hair disorder in dr. Cipto Mangunkusumo cosmetic dermatology and venereology outpatient clinic of Jakarta, Indonesia: A socio-demographic and clinical evaluation.

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8.  Why some women look young for their age.

Authors:  David A Gunn; Helle Rexbye; Christopher E M Griffiths; Peter G Murray; Amelia Fereday; Sharon D Catt; Cyrena C Tomlin; Barbara H Strongitharm; Dave I Perrett; Michael Catt; Andrew E Mayes; Andrew G Messenger; Martin R Green; Frans van der Ouderaa; James W Vaupel; Kaare Christensen
Journal:  PLoS One       Date:  2009-12-01       Impact factor: 3.240

9.  Genetic prediction of male pattern baldness.

Authors:  Saskia P Hagenaars; W David Hill; Sarah E Harris; Stuart J Ritchie; Gail Davies; David C Liewald; Catharine R Gale; David J Porteous; Ian J Deary; Riccardo E Marioni
Journal:  PLoS Genet       Date:  2017-02-14       Impact factor: 5.917

  9 in total

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