Literature DB >> 28714225

Leveraging splice-affecting variant predictors and a minigene validation system to identify Mendelian disease-causing variants among exon-captured variants of uncertain significance.

Zachry T Soens1,2, Justin Branch1,2, Shijing Wu3, Zhisheng Yuan3, Yumei Li1,2, Hui Li3, Keqing Wang1,2, Mingchu Xu1,2, Lavan Rajan1,2, Fabiana L Motta4, Renata T Simões5,6, Irma Lopez-Solache7, Radwan Ajlan7, David G Birch8, Peiquan Zhao9, Fernanda B Porto5,6, Juliana Sallum4, Robert K Koenekoop7, Ruifang Sui3, Rui Chen1,2,10,11.   

Abstract

The genetic heterogeneity of Mendelian disorders results in a significant proportion of patients that are unable to be assigned a confident molecular diagnosis after conventional exon sequencing and variant interpretation. Here, we evaluated how many patients with an inherited retinal disease (IRD) have variants of uncertain significance (VUS) that are disrupting splicing in a known IRD gene by means other than affecting the canonical dinucleotide splice site. Three in silico splice-affecting variant predictors were leveraged to annotate and prioritize variants for splicing functional validation. An in vitro minigene system was used to assay each variant's effect on splicing. Starting with 745 IRD patients lacking a confident molecular diagnosis, we validated 23 VUS as splicing variants that likely explain disease in 26 patients. Using our results, we optimized in silico score cutoffs to guide future variant interpretation. Variants that alter base pairs other than the canonical GT-AG dinucleotide are often not considered for their potential effect on RNA splicing but in silico tools and a minigene system can be utilized for the prioritization and validation of such splice-disrupting variants. These variants can be overlooked causes of human disease but can be identified using conventional exon sequencing with proper interpretation guidelines.
© 2017 Wiley Periodicals, Inc.

Entities:  

Keywords:  Mendelian disease; inherited retinal degenerations; minigene; molecular diagnosis; noncanonical splicing variants; variants of uncertain significance (VUS)

Mesh:

Year:  2017        PMID: 28714225      PMCID: PMC5638688          DOI: 10.1002/humu.23294

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.878


  48 in total

1.  Improved splice site detection in Genie.

Authors:  M G Reese; F H Eeckman; D Kulp; D Haussler
Journal:  J Comput Biol       Date:  1997       Impact factor: 1.479

2.  Human genomics. Effect of predicted protein-truncating genetic variants on the human transcriptome.

Authors:  Manuel A Rivas; Matti Pirinen; Donald F Conrad; Monkol Lek; Emily K Tsang; Konrad J Karczewski; Julian B Maller; Kimberly R Kukurba; David S DeLuca; Menachem Fromer; Pedro G Ferreira; Kevin S Smith; Rui Zhang; Fengmei Zhao; Eric Banks; Ryan Poplin; Douglas M Ruderfer; Shaun M Purcell; Taru Tukiainen; Eric V Minikel; Peter D Stenson; David N Cooper; Katharine H Huang; Timothy J Sullivan; Jared Nedzel; Carlos D Bustamante; Jin Billy Li; Mark J Daly; Roderic Guigo; Peter Donnelly; Kristin Ardlie; Michael Sammeth; Emmanouil T Dermitzakis; Mark I McCarthy; Stephen B Montgomery; Tuuli Lappalainen; Daniel G MacArthur
Journal:  Science       Date:  2015-05-08       Impact factor: 47.728

3.  VaRank: a simple and powerful tool for ranking genetic variants.

Authors:  Véronique Geoffroy; Cécile Pizot; Claire Redin; Amélie Piton; Nasim Vasli; Corinne Stoetzel; André Blavier; Jocelyn Laporte; Jean Muller
Journal:  PeerJ       Date:  2015-03-03       Impact factor: 2.984

4.  Human genetic variation database, a reference database of genetic variations in the Japanese population.

Authors:  Koichiro Higasa; Noriko Miyake; Jun Yoshimura; Kohji Okamura; Tetsuya Niihori; Hirotomo Saitsu; Koichiro Doi; Masakazu Shimizu; Kazuhiko Nakabayashi; Yoko Aoki; Yoshinori Tsurusaki; Shinichi Morishita; Takahisa Kawaguchi; Osuke Migita; Keiko Nakayama; Mitsuko Nakashima; Jun Mitsui; Maiko Narahara; Keiko Hayashi; Ryo Funayama; Daisuke Yamaguchi; Hiroyuki Ishiura; Wen-Ya Ko; Kenichiro Hata; Takeshi Nagashima; Ryo Yamada; Yoichi Matsubara; Akihiro Umezawa; Shoji Tsuji; Naomichi Matsumoto; Fumihiko Matsuda
Journal:  J Hum Genet       Date:  2016-02-25       Impact factor: 3.172

5.  Accurately annotate compound effects of genetic variants using a context-sensitive framework.

Authors:  Si-Jin Cheng; Fang-Yuan Shi; Huan Liu; Yang Ding; Shuai Jiang; Nan Liang; Ge Gao
Journal:  Nucleic Acids Res       Date:  2017-06-02       Impact factor: 16.971

6.  Analysis of protein-coding genetic variation in 60,706 humans.

Authors:  Monkol Lek; Konrad J Karczewski; Eric V Minikel; Kaitlin E Samocha; Eric Banks; Timothy Fennell; Anne H O'Donnell-Luria; James S Ware; Andrew J Hill; Beryl B Cummings; Taru Tukiainen; Daniel P Birnbaum; Jack A Kosmicki; Laramie E Duncan; Karol Estrada; Fengmei Zhao; James Zou; Emma Pierce-Hoffman; Joanne Berghout; David N Cooper; Nicole Deflaux; Mark DePristo; Ron Do; Jason Flannick; Menachem Fromer; Laura Gauthier; Jackie Goldstein; Namrata Gupta; Daniel Howrigan; Adam Kiezun; Mitja I Kurki; Ami Levy Moonshine; Pradeep Natarajan; Lorena Orozco; Gina M Peloso; Ryan Poplin; Manuel A Rivas; Valentin Ruano-Rubio; Samuel A Rose; Douglas M Ruderfer; Khalid Shakir; Peter D Stenson; Christine Stevens; Brett P Thomas; Grace Tiao; Maria T Tusie-Luna; Ben Weisburd; Hong-Hee Won; Dongmei Yu; David M Altshuler; Diego Ardissino; Michael Boehnke; John Danesh; Stacey Donnelly; Roberto Elosua; Jose C Florez; Stacey B Gabriel; Gad Getz; Stephen J Glatt; Christina M Hultman; Sekar Kathiresan; Markku Laakso; Steven McCarroll; Mark I McCarthy; Dermot McGovern; Ruth McPherson; Benjamin M Neale; Aarno Palotie; Shaun M Purcell; Danish Saleheen; Jeremiah M Scharf; Pamela Sklar; Patrick F Sullivan; Jaakko Tuomilehto; Ming T Tsuang; Hugh C Watkins; James G Wilson; Mark J Daly; Daniel G MacArthur
Journal:  Nature       Date:  2016-08-18       Impact factor: 49.962

7.  The Clinical Next-Generation Sequencing Database: A Tool for the Unified Management of Clinical Information and Genetic Variants to Accelerate Variant Pathogenicity Classification.

Authors:  Shin-Ya Nishio; Shin-Ichi Usami
Journal:  Hum Mutat       Date:  2017-01-11       Impact factor: 4.878

Review 8.  Opportunities and challenges of whole-genome and -exome sequencing.

Authors:  Britt-Sabina Petersen; Broder Fredrich; Marc P Hoeppner; David Ellinghaus; Andre Franke
Journal:  BMC Genet       Date:  2017-02-14       Impact factor: 2.797

9.  Comparative in vitro and in silico analyses of variants in splicing regions of BRCA1 and BRCA2 genes and characterization of novel pathogenic mutations.

Authors:  Mara Colombo; Giovanna De Vecchi; Laura Caleca; Claudia Foglia; Carla B Ripamonti; Filomena Ficarazzi; Monica Barile; Liliana Varesco; Bernard Peissel; Siranoush Manoukian; Paolo Radice
Journal:  PLoS One       Date:  2013-02-22       Impact factor: 3.240

Review 10.  Novel bioinformatic developments for exome sequencing.

Authors:  Stefan H Lelieveld; Joris A Veltman; Christian Gilissen
Journal:  Hum Genet       Date:  2016-04-13       Impact factor: 4.132

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  7 in total

1.  Targeted Next-Generation Sequencing Identified Novel Compound Heterozygous Variants in the CDH23 Gene Causing Usher Syndrome Type ID in a Chinese Patient.

Authors:  Lianmei Zhang; Jingliang Cheng; Qi Zhou; Md Asaduzzaman Khan; Jiewen Fu; Chengxia Duan; Suan Sun; Hongbin Lv; Junjiang Fu
Journal:  Front Genet       Date:  2020-04-30       Impact factor: 4.599

2.  Seven novel variants expand the spectrum of RPE65-related Leber congenital amaurosis in the Chinese population.

Authors:  Zilin Zhong; Feng Rong; Yinghui Dai; Alakezi Yibulayin; Lin Zeng; Jian Liao; Liefeng Wang; Zhihua Huang; Zhenping Zhou; Jianjun Chen
Journal:  Mol Vis       Date:  2019-03-18       Impact factor: 2.367

3.  Noncoding mutation in RPGRIP1 contributes to inherited retinal degenerations.

Authors:  Gang Zou; Tao Zhang; Xuesen Cheng; Austin D Igelman; Jun Wang; Xinye Qian; Shangyi Fu; Keqing Wang; Robert K Koenekoop; Gerald A Fishman; Paul Yang; Yumei Li; Mark E Pennesi; Rui Chen
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4.  Frequency and phenotypic characteristics of RPE65 mutations in the Chinese population.

Authors:  Feng-Juan Gao; Dan-Dan Wang; Jian-Kang Li; Fang-Yuan Hu; Ping Xu; Fang Chen; Yu-He Qi; Wei Liu; Wei Li; Sheng-Hai Zhang; Qing Chang; Ge-Zhi Xu; Ji-Hong Wu
Journal:  Orphanet J Rare Dis       Date:  2021-04-13       Impact factor: 4.123

5.  Relative frequency of inherited retinal dystrophies in Brazil.

Authors:  Fabiana Louise Motta; Renan Paulo Martin; Rafael Filippelli-Silva; Mariana Vallim Salles; Juliana Maria Ferraz Sallum
Journal:  Sci Rep       Date:  2018-10-29       Impact factor: 4.379

6.  Spectrum, frequency, and genotype-phenotype of mutations in SPATA7.

Authors:  Xueshan Xiao; Wenmin Sun; Shiqiang Li; Xiaoyun Jia; Qingjiong Zhang
Journal:  Mol Vis       Date:  2019-12-02       Impact factor: 2.367

7.  Unraveling the genetic complexities of combined retinal dystrophy and hearing impairment.

Authors:  Fatemeh Suri; Barbara Vona; Thomas Haaf; Paulina Bahena; Narsis Daftarian; Reza Maroofian; Paola Linares; Daniel Villalobos; Mehraban Mirrahimi; Aboulfazl Rad; Julia Doll; Michaela A H Hofrichter; Asuman Koparir; Tabea Röder; Seungbin Han; Hamideh Sabbaghi; Hamid Ahmadieh; Hassan Behboudi; Cristina Villanueva-Mendoza; Vianney Cortés-Gonzalez; Rocio Zamora-Ortiz; Susanne Kohl; Laura Kuehlewein; Hossein Darvish; Elham Alehabib; Maria de la Luz Arenas-Sordo
Journal:  Hum Genet       Date:  2021-06-20       Impact factor: 5.881

  7 in total

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