Literature DB >> 27646882

Pigmentation-Independent Susceptibility Loci for Actinic Keratosis Highlighted by Compound Heterozygosity Analysis.

Kaiyin Zhong1, Joris A C Verkouteren2, Leonie C Jacobs2, Andre G Uitterlinden3, Albert Hofman4, Fan Liu5, Tamar Nijsten6, Manfred Kayser7.   

Abstract

Actinic keratosis (AK) is a skin disease frequently found in European elderly, and it represents the precursor of cutaneous squamous cell carcinoma. Our recent genome-wide association study highlighted DNA variants in two pigmentation genes, IRF4 and MC1R, that confer AK risk in Europeans. Here, we performed a genome-wide search for relaxed forms of compound heterozygosity in association with AK using our recently developed software CollapsABEL. In a discovery dataset of 3,193 Dutch Europeans, a total of 15 genetic loci showed genome-wide significant association with AK (P < 1.25 × 10-10). Of those, three loci (6p21.2, 6p12.2, and 6q13) were confirmed in a replication dataset that included 624 additional Dutch Europeans (P < 0.05). These replicated loci harbored six genes (KCNK5/KCNK17, PAQR8/GSTA2, and KCNQ5/KHDC1), none of them known to be involved in pigmentation. A candidate compound heterozygosity analysis for 12 pigmentation loci highlighted SLC24A4 at 14q32.12 as showing significant association with AK (P = 8.83 × 10-9). The four significantly AK-associated compound heterozygosity single-nucleotide polymorphism pairs together explained 4.37% of the total AK variation, which was 2.62 times greater than the two top-associated individual single nucleotide polymorphisms together (1.67%) identified in the previous conventional genome-wide association study. In conclusion, CollapsABEL showed compound heterozygosity in non-pigmentation- and pigmentation-related loci conferring genetic risk of AK.
Copyright © 2016 The Authors. Published by Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27646882     DOI: 10.1016/j.jid.2016.09.007

Source DB:  PubMed          Journal:  J Invest Dermatol        ISSN: 0022-202X            Impact factor:   8.551


  8 in total

1.  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

2.  Biophysical Compatibility of a Heterotrimeric Tyrosinase-TYRP1-TYRP2 Metalloenzyme Complex.

Authors:  Olga Lavinda; Prashiela Manga; Seth J Orlow; Timothy Cardozo
Journal:  Front Pharmacol       Date:  2021-04-28       Impact factor: 5.810

3.  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

4.  Objectives, design and main findings until 2020 from the Rotterdam Study.

Authors:  M Arfan Ikram; Guy Brusselle; Mohsen Ghanbari; André Goedegebure; M Kamran Ikram; Maryam Kavousi; Brenda C T Kieboom; Caroline C W Klaver; Robert J de Knegt; Annemarie I Luik; Tamar E C Nijsten; Robin P Peeters; Frank J A van Rooij; Bruno H Stricker; André G Uitterlinden; Meike W Vernooij; Trudy Voortman
Journal:  Eur J Epidemiol       Date:  2020-05-04       Impact factor: 8.082

5.  Genome-wide association study of actinic keratosis identifies new susceptibility loci implicated in pigmentation and immune regulation pathways.

Authors:  Yuhree Kim; Jie Yin; Hailiang Huang; Eric Jorgenson; Hélène Choquet; Maryam M Asgari
Journal:  Commun Biol       Date:  2022-04-21

6.  A systematic review of skin ageing genes: gene pleiotropy and genes on the chromosomal band 16q24.3 may drive skin ageing.

Authors:  Jun Yan Ng; Fook Tim Chew
Journal:  Sci Rep       Date:  2022-07-30       Impact factor: 4.996

7.  Genome-Wide Analysis Identifies Candidate Genes Encoding Beak Color of Duck.

Authors:  Qixin Guo; Yong Jiang; Zhixiu Wang; Yulin Bi; Guohong Chen; Hao Bai; Guobin Chang
Journal:  Genes (Basel)       Date:  2022-07-18       Impact factor: 4.141

8.  Genome-Wide Association Study for Screening and Identifying Potential Shin Color Loci in Ducks.

Authors:  Qixin Guo; Yong Jiang; Zhixiu Wang; Yulin Bi; Guohong Chen; Hao Bai; Guobin Chang
Journal:  Genes (Basel)       Date:  2022-08-04       Impact factor: 4.141

  8 in total

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