Literature DB >> 34005834

Genetic pleiotropy of ERCC6 loss-of-function and deleterious missense variants links retinal dystrophy, arrhythmia, and immunodeficiency in diverse ancestries.

Iain S Forrest1,2,3,4, Kumardeep Chaudhary1,3,4, Ha My T Vy1,4, Shantanu Bafna1,4, Soyeon Kim1,4,5, Hong-Hee Won5, Ruth J F Loos1,4,6, Judy Cho1,3,4,7, Louis R Pasquale8,9, Girish N Nadkarni1,3,4,7,10, Ghislain Rocheleau1,4, Ron Do1,3,4.   

Abstract

Biobanks with exomes linked to electronic health records (EHRs) enable the study of genetic pleiotropy between rare variants and seemingly disparate diseases. We performed robust clinical phenotyping of rare, putatively deleterious variants (loss-of-function [LoF] and deleterious missense variants) in ERCC6, a gene implicated in inherited retinal disease. We analyzed 213,084 exomes, along with a targeted set of retinal, cardiac, and immune phenotypes from two large-scale EHR-linked biobanks. In the primary analysis, a burden of deleterious variants in ERCC6 was strongly associated with (1) retinal disorders; (2) cardiac and electrocardiogram perturbations; and (3) immunodeficiency and decreased immunoglobulin levels. Meta-analysis of results from the BioMe Biobank and UK Biobank showed a significant association of deleterious ERCC6 burden with retinal dystrophy (odds ratio [OR] = 2.6, 95% confidence interval [CI]: 1.5-4.6; p = 8.7 × 10-4 ), atypical atrial flutter (OR = 3.5, 95% CI: 1.9-6.5; p = 6.2 × 10-5 ), arrhythmia (OR = 1.5, 95% CI: 1.2-2.0; p = 2.7 × 10-3 ), and lymphocyte immunodeficiency (OR = 3.8, 95% CI: 2.1-6.8; p = 5.0 × 10-6 ). Carriers of ERCC6 LoF variants who lacked a diagnosis of these conditions exhibited increased symptoms, indicating underdiagnosis. These results reveal a unique genetic link among retinal, cardiac, and immune disorders and underscore the value of EHR-linked biobanks in assessing the full clinical profile of carriers of rare variants.
© 2021 Wiley Periodicals LLC.

Entities:  

Keywords:  zzm321990ERCC6zzm321990; genotype-first diagnosis; pleiotropy; rare variant; whole-exome sequencing

Mesh:

Substances:

Year:  2021        PMID: 34005834      PMCID: PMC8295228          DOI: 10.1002/humu.24220

Source DB:  PubMed          Journal:  Hum Mutat        ISSN: 1059-7794            Impact factor:   4.700


  30 in total

Review 1.  National population-based biobanks for genetic research.

Authors:  Helen Swede; Carol L Stone; Alyssa R Norwood
Journal:  Genet Med       Date:  2007-03       Impact factor: 8.822

Review 2.  Rare-variant association analysis: study designs and statistical tests.

Authors:  Seunggeung Lee; Gonçalo R Abecasis; Michael Boehnke; Xihong Lin
Journal:  Am J Hum Genet       Date:  2014-07-03       Impact factor: 11.025

3.  The conserved Cockayne syndrome B-piggyBac fusion protein (CSB-PGBD3) affects DNA repair and induces both interferon-like and innate antiviral responses in CSB-null cells.

Authors:  Arnold D Bailey; Lucas T Gray; Thomas Pavelitz; John C Newman; Katsuyoshi Horibata; Kiyoji Tanaka; Alan M Weiner
Journal:  DNA Repair (Amst)       Date:  2012-04-06

Review 4.  Molecular genetics of human retinal dystrophies.

Authors:  C F Inglehearn
Journal:  Eye (Lond)       Date:  1998       Impact factor: 3.775

5.  Firth logistic regression for rare variant association tests.

Authors:  Xuefeng Wang
Journal:  Front Genet       Date:  2014-06-19       Impact factor: 4.599

6.  Exome sequencing of index patients with retinal dystrophies as a tool for molecular diagnosis.

Authors:  Marta Corton; Koji M Nishiguchi; Almudena Avila-Fernández; Konstantinos Nikopoulos; Rosa Riveiro-Alvarez; Sorina D Tatu; Carmen Ayuso; Carlo Rivolta
Journal:  PLoS One       Date:  2013-06-14       Impact factor: 3.240

7.  The Ensembl Variant Effect Predictor.

Authors:  William McLaren; Laurent Gil; Sarah E Hunt; Harpreet Singh Riat; Graham R S Ritchie; Anja Thormann; Paul Flicek; Fiona Cunningham
Journal:  Genome Biol       Date:  2016-06-06       Impact factor: 13.583

8.  Whole exome sequencing of extreme age-related macular degeneration phenotypes.

Authors:  Rebecca J Sardell; Jessica N Cooke Bailey; Monique D Courtenay; Patrice Whitehead; Reneé A Laux; Larry D Adams; Jorge A Fortun; Milam A Brantley; Jaclyn L Kovach; Stephen G Schwartz; Anita Agarwal; William K Scott; Jonathan L Haines; Margaret A Pericak-Vance
Journal:  Mol Vis       Date:  2016-08-29       Impact factor: 2.367

9.  CADD: predicting the deleteriousness of variants throughout the human genome.

Authors:  Philipp Rentzsch; Daniela Witten; Gregory M Cooper; Jay Shendure; Martin Kircher
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

10.  The UK Biobank resource with deep phenotyping and genomic data.

Authors:  Clare Bycroft; Colin Freeman; Desislava Petkova; Gavin Band; Lloyd T Elliott; Kevin Sharp; Allan Motyer; Damjan Vukcevic; Olivier Delaneau; Jared O'Connell; Adrian Cortes; Samantha Welsh; Alan Young; Mark Effingham; Gil McVean; Stephen Leslie; Naomi Allen; Peter Donnelly; Jonathan Marchini
Journal:  Nature       Date:  2018-10-10       Impact factor: 49.962

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  1 in total

1.  Genetic and phenotypic profiling of supranormal ejection fraction reveals decreased survival and underdiagnosed heart failure.

Authors:  Iain S Forrest; Ghislain Rocheleau; Shantanu Bafna; Edgar Argulian; Jagat Narula; Pradeep Natarajan; Ron Do
Journal:  Eur J Heart Fail       Date:  2022-03-12       Impact factor: 17.349

  1 in total

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