Literature DB >> 22762390

Current opportunities and challenges: genome-wide association studies on pigmentation and skin cancer.

Shasha Meng1, Mingfeng Zhang, Liming Liang, Jiali Han.   

Abstract

Genome-wide association studies (GWAS) have become a widely used approach for genetic association studies of various human traits. A few GWAS have been conducted with the goal of identifying novel loci for pigmentation traits, melanoma, and non-melanoma skin cancer. Nevertheless, the phenotype variation explained by the genetic markers identified so far is limited. In this review, we discuss the GWAS study design and its application in pigmentation and skin cancer research. Furthermore, we summarize recent developments in post-GWAS activities such as meta-analysis, pathway analysis, and risk prediction.
© 2012 John Wiley & Sons A/S.

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Year:  2012        PMID: 22762390     DOI: 10.1111/j.1755-148X.2012.01023.x

Source DB:  PubMed          Journal:  Pigment Cell Melanoma Res        ISSN: 1755-1471            Impact factor:   4.693


  4 in total

1.  Updated field synopsis and systematic meta-analyses of genetic association studies in cutaneous melanoma: the MelGene database.

Authors:  Kyriaki Antonopoulou; Irene Stefanaki; Christina M Lill; Foteini Chatzinasiou; Katerina P Kypreou; Fani Karagianni; Emmanouil Athanasiadis; George M Spyrou; John P A Ioannidis; Lars Bertram; Evangelos Evangelou; Alexander J Stratigos
Journal:  J Invest Dermatol       Date:  2014-11-19       Impact factor: 8.551

2.  Variants in melanocortin 1 receptor gene contribute to risk of melanoma--a direct sequencing analysis in a Texas population.

Authors:  Xiaoxiang Guan; Jiangong Niu; Zhensheng Liu; Li-E Wang; Christopher I Amos; Jeffrey E Lee; Jeffrey E Gershenwald; Elizabeth A Grimm; Qingyi Wei
Journal:  Pigment Cell Melanoma Res       Date:  2013-02-19       Impact factor: 4.693

3.  Mitochondrial DNA copy number in peripheral blood and melanoma risk.

Authors:  Jie Shen; Vancheswaran Gopalakrishnan; Jeffrey E Lee; Shenying Fang; Hua Zhao
Journal:  PLoS One       Date:  2015-06-25       Impact factor: 3.240

4.  Improved eye- and skin-color prediction based on 8 SNPs.

Authors:  Katie L Hart; Shey L Kimura; Vladimir Mushailov; Zoran M Budimlija; Mechthild Prinz; Elisa Wurmbach
Journal:  Croat Med J       Date:  2013-06       Impact factor: 1.351

  4 in total

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