Literature DB >> 27133870

The MC1R Gene and Youthful Looks.

Fan Liu1, Merel A Hamer2, Joris Deelen3, Japal S Lall4, Leonie Jacobs2, Diana van Heemst5, Peter G Murray4, Andreas Wollstein6, Anton J M de Craen5, Hae-Won Uh7, Changqing Zeng8, Albert Hofman9, André G Uitterlinden10, Jeanine J Houwing-Duistermaat11, Luba M Pardo2, Marian Beekman3, P Eline Slagboom3, Tamar Nijsten2, Manfred Kayser12, David A Gunn13.   

Abstract

Looking young for one's age has been a desire since time immemorial. This desire is attributable to the belief that appearance reflects health and fecundity. Indeed, perceived age predicts survival [1] and associates with molecular markers of aging such as telomere length [2]. Understanding the underlying molecular biology of perceived age is vital for identifying new aging therapies among other purposes, but studies are lacking thus far. As a first attempt, we performed genome-wide association studies (GWASs) of perceived facial age and wrinkling estimated from digital facial images by analyzing over eight million SNPs in 2,693 elderly Dutch Europeans from the Rotterdam Study. The strongest genetic associations with perceived facial age were found for multiple SNPs in the MC1R gene (p < 1 × 10(-7)). This effect was enhanced for a compound heterozygosity marker constructed from four pre-selected functional MC1R SNPs (p = 2.69 × 10(-12)), which was replicated in 599 Dutch Europeans from the Leiden Longevity Study (p = 0.042) and in 1,173 Europeans of the TwinsUK Study (p = 3 × 10(-3)). Individuals carrying the homozygote MC1R risk haplotype looked on average up to 2 years older than non-carriers. This association was independent of age, sex, skin color, and sun damage (wrinkling, pigmented spots) and persisted through different sun-exposure levels. Hence, a role for MC1R in youthful looks independent of its known melanin synthesis function is suggested. Our study uncovers the first genetic evidence explaining why some people look older for their age and provides new leads for further investigating the biological basis of how old or young people look.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  GWAS; MC1R; age; appearance; facial aging; perceived facial age; skin

Mesh:

Substances:

Year:  2016        PMID: 27133870     DOI: 10.1016/j.cub.2016.03.008

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  18 in total

Review 1.  Genetic and epigenetic regulation of human aging and longevity.

Authors:  Brian J Morris; Bradley J Willcox; Timothy A Donlon
Journal:  Biochim Biophys Acta Mol Basis Dis       Date:  2018-09-01       Impact factor: 5.187

Review 2.  The Pathobiology of Skin Aging: New Insights into an Old Dilemma.

Authors:  Eleanor Russell-Goldman; George F Murphy
Journal:  Am J Pathol       Date:  2020-04-01       Impact factor: 4.307

3.  The Rotterdam Study: 2018 update on objectives, design and main results.

Authors:  M Arfan Ikram; Guy G O Brusselle; Sarwa Darwish Murad; Cornelia M van Duijn; Oscar H Franco; André Goedegebure; Caroline C W Klaver; Tamar E C Nijsten; Robin P Peeters; Bruno H Stricker; Henning Tiemeier; André G Uitterlinden; Meike W Vernooij; Albert Hofman
Journal:  Eur J Epidemiol       Date:  2017-10-24       Impact factor: 8.082

Review 4.  Air Pollution and Skin Aging.

Authors:  Tamara Schikowski; Anke Hüls
Journal:  Curr Environ Health Rep       Date:  2020-03

5.  Optimizing Facial Rejuvenation with a Combination of a Novel Topical Serum and Injectable Procedure to Increase Patient Outcomes and Satisfaction.

Authors:  Sabrina G Fabi; Lisa Zaleski-Larsen; Joanna Bolton; Rahul C Mehta; Elizabeth T Makino
Journal:  J Clin Aesthet Dermatol       Date:  2017-12-01

6.  DNA methylation age and perceived age in elderly Danish twins.

Authors:  Birgit Debrabant; Mette Soerensen; Lene Christiansen; Qihua Tan; Matt McGue; Kaare Christensen; Jacob Hjelmborg
Journal:  Mech Ageing Dev       Date:  2017-09-28       Impact factor: 5.432

7.  Differences between perceived age and chronological age in women: A multi-ethnic and multi-centre study.

Authors:  Rainer Voegeli; Rotraut Schoop; Elodie Prestat-Marquis; Anthony V Rawlings; Todd K Shackelford; Bernhard Fink
Journal:  Int J Cosmet Sci       Date:  2021-08-08       Impact factor: 2.416

8.  CollapsABEL: an R library for detecting compound heterozygote alleles in genome-wide association studies.

Authors:  Kaiyin Zhong; Lennart C Karssen; Manfred Kayser; Fan Liu
Journal:  BMC Bioinformatics       Date:  2016-04-08       Impact factor: 3.169

9.  Genome-wide compound heterozygote analysis highlights alleles associated with adult height in Europeans.

Authors:  Kaiyin Zhong; Gu Zhu; Xiaoxi Jing; A Emile J Hendriks; Sten L S Drop; M Arfan Ikram; Scott Gordon; Changqing Zeng; Andre G Uitterlinden; Nicholas G Martin; Fan Liu; Manfred Kayser
Journal:  Hum Genet       Date:  2017-09-18       Impact factor: 4.132

10.  Genome-wide association study in Japanese females identifies fifteen novel skin-related trait associations.

Authors:  Chihiro Endo; Todd A Johnson; Ryoko Morino; Kazuyuki Nakazono; Shigeo Kamitsuji; Masanori Akita; Maiko Kawajiri; Tatsuya Yamasaki; Azusa Kami; Yuria Hoshi; Asami Tada; Kenichi Ishikawa; Maaya Hine; Miki Kobayashi; Nami Kurume; Yuichiro Tsunemi; Naoyuki Kamatani; Makoto Kawashima
Journal:  Sci Rep       Date:  2018-06-12       Impact factor: 4.379

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