Literature DB >> 32628274

A decade of next-generation sequencing in genodermatoses: the impact on gene discovery and clinical diagnostics.

F P-C Chiu1, B J Doolan1, J A McGrath1, A Onoufriadis1.   

Abstract

BACKGROUND: Discovering the genetic basis of inherited skin diseases is fundamental to improving diagnostic accuracy and genetic counselling. In the 1990s and 2000s, genetic linkage and candidate gene approaches led to the molecular characterization of several dozen genodermatoses, but over the past decade the advent of next-generation sequencing (NGS) technologies has accelerated diagnostic discovery and precision.
OBJECTIVES: This review examines the application of NGS technologies from 2009 to 2019 that have (i) led to the initial discovery of gene mutations in known or new genodermatoses and (ii) identified involvement of more than one contributing pathogenic gene in individuals with complex Mendelian skin disorder phenotypes.
METHODS: A comprehensive review of the PubMed database and dermatology conference abstracts was undertaken between January 2009 and December 2019. The results were collated and cross-referenced with OMIM.
RESULTS: We identified 166 new disease-gene associations in inherited skin diseases discovered by NGS. Of these, 131 were previously recognized, while 35 were brand new disorders. Eighty-five were autosomal dominant (with 43 of 85 mutations occurring de novo), 78 were autosomal recessive and three were X-linked. We also identified 63 cases harbouring multiple pathogenic mutations, either involving two coexisting genodermatoses (n = 13) or an inherited skin disorder in conjunction with other organ system phenotypes (n = 50).
CONCLUSIONS: NGS technologies have accelerated disease-gene discoveries in dermatology over the last decade. Moreover, the era of NGS has enabled clinicians to split complex Mendelian phenotypes into separate diseases. These genetic data improve diagnostic precision and make feasible accurate prenatal testing and better-targeted translational research.
© 2020 The Authors. British Journal of Dermatology published by John Wiley & Sons Ltd on behalf of British Association of Dermatologists.

Entities:  

Year:  2021        PMID: 32628274     DOI: 10.1111/bjd.19384

Source DB:  PubMed          Journal:  Br J Dermatol        ISSN: 0007-0963            Impact factor:   9.302


  4 in total

Review 1.  Molecular tools for the genomic assessment of oocyte's reproductive competence.

Authors:  Ludovica Picchetta; Silvia Caroselli; Matteo Figliuzzi; Francesco Cogo; Paola Zambon; Martina Costa; Ilaria Pergher; Cristina Patassini; Fabiana Cortellessa; Daniela Zuccarello; Maurizio Poli; Antonio Capalbo
Journal:  J Assist Reprod Genet       Date:  2022-02-05       Impact factor: 3.357

2.  KVarPredDB: a database for predicting pathogenicity of missense sequence variants of keratin genes associated with genodermatoses.

Authors:  Yuyi Ying; Lu Lu; Santasree Banerjee; Lizhen Xu; Qiang Zhao; Hao Wu; Ruiqi Li; Xiao Xu; Hua Yu; Dante Neculai; Yongmei Xi; Fan Yang; Jiale Qin; Chen Li
Journal:  Hum Genomics       Date:  2020-12-07       Impact factor: 4.639

3.  Genetic Diagnosis of Rubinstein-Taybi Syndrome With Multiplex Ligation-Dependent Probe Amplification (MLPA) and Whole-Exome Sequencing (WES): Case Series With a Novel CREBBP Variant.

Authors:  Yu-Rong Lee; Yu-Chen Lin; Yi-Han Chang; Hsin-Yu Huang; Yi-Kai Hong; Wilson Jr F Aala; Wei-Ting Tu; Meng-Che Tsai; Yen-Yin Chou; Chao-Kai Hsu
Journal:  Front Genet       Date:  2022-04-08       Impact factor: 4.772

4.  RSDB: A rare skin disease database to link drugs with potential drug targets for rare skin diseases.

Authors:  Tien-Chueh Kuo; Pei-Hua Wang; Yu-Ke Wang; Chia-I Chang; Ching-Yao Chang; Yufeng Jane Tseng
Journal:  Sci Data       Date:  2022-08-26       Impact factor: 8.501

  4 in total

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