Literature DB >> 27165007

Whole-genome sequencing overcomes pseudogene homology to diagnose autosomal dominant polycystic kidney disease.

Amali C Mallawaarachchi1, Yvonne Hort1, Mark J Cowley2,3, Mark J McCabe2,3, André Minoche2, Marcel E Dinger2,3, John Shine1, Timothy J Furlong1,4.   

Abstract

Autosomal dominant polycystic kidney disease (ADPKD) is the most common monogenic kidney disorder and is due to disease-causing variants in PKD1 or PKD2. Strong genotype-phenotype correlation exists although diagnostic sequencing is not part of routine clinical practice. This is because PKD1 bears 97.7% sequence similarity with six pseudogenes, requiring laborious and error-prone long-range PCR and Sanger sequencing to overcome. We hypothesised that whole-genome sequencing (WGS) would be able to overcome the problem of this sequence homology, because of 150 bp, paired-end reads and avoidance of capture bias that arises from targeted sequencing. We prospectively recruited a cohort of 28 unique pedigrees with ADPKD phenotype. Standard DNA extraction, library preparation and WGS were performed using Illumina HiSeq X and variants were classified following standard guidelines. Molecular diagnosis was made in 24 patients (86%), with 100% variant confirmation by current gold standard of long-range PCR and Sanger sequencing. We demonstrated unique alignment of sequencing reads over the pseudogene-homologous region. In addition to identifying function-affecting single-nucleotide variants and indels, we identified single- and multi-exon deletions affecting PKD1 and PKD2, which would have been challenging to identify using exome sequencing. We report the first use of WGS to diagnose ADPKD. This method overcomes pseudogene homology, provides uniform coverage, detects all variant types in a single test and is less labour-intensive than current techniques. This technique is translatable to a diagnostic setting, allows clinicians to make better-informed management decisions and has implications for other disease groups that are challenged by regions of confounding sequence homology.

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Year:  2016        PMID: 27165007      PMCID: PMC5110048          DOI: 10.1038/ejhg.2016.48

Source DB:  PubMed          Journal:  Eur J Hum Genet        ISSN: 1018-4813            Impact factor:   4.246


  27 in total

Review 1.  Genetics and pathogenesis of autosomal dominant polycystic kidney disease: 20 years on.

Authors:  Emilie Cornec-Le Gall; Marie-Pierre Audrézet; Yannick Le Meur; Jian-Min Chen; Claude Férec
Journal:  Hum Mutat       Date:  2014-12       Impact factor: 4.878

2.  Type of PKD1 mutation influences renal outcome in ADPKD.

Authors:  Emilie Cornec-Le Gall; Marie-Pierre Audrézet; Jian-Min Chen; Maryvonne Hourmant; Marie-Pascale Morin; Régine Perrichot; Christophe Charasse; Bassem Whebe; Eric Renaudineau; Philippe Jousset; Marie-Paule Guillodo; Anne Grall-Jezequel; Philippe Saliou; Claude Férec; Yannick Le Meur
Journal:  J Am Soc Nephrol       Date:  2013-02-21       Impact factor: 10.121

3.  Identification of gene mutations in autosomal dominant polycystic kidney disease through targeted resequencing.

Authors:  Sandro Rossetti; Katharina Hopp; Robert A Sikkink; Jamie L Sundsbak; Yean Kit Lee; Vickie Kubly; Bruce W Eckloff; Christopher J Ward; Christopher G Winearls; Vicente E Torres; Peter C Harris
Journal:  J Am Soc Nephrol       Date:  2012-03-01       Impact factor: 10.121

Review 4.  Diagnostic clinical genome and exome sequencing.

Authors:  Leslie G Biesecker; Robert C Green
Journal:  N Engl J Med       Date:  2014-06-19       Impact factor: 91.245

5.  Genome sequencing identifies major causes of severe intellectual disability.

Authors:  Christian Gilissen; Jayne Y Hehir-Kwa; Djie Tjwan Thung; Maartje van de Vorst; Bregje W M van Bon; Marjolein H Willemsen; Michael Kwint; Irene M Janssen; Alexander Hoischen; Annette Schenck; Richard Leach; Robert Klein; Rick Tearle; Tan Bo; Rolph Pfundt; Helger G Yntema; Bert B A de Vries; Tjitske Kleefstra; Han G Brunner; Lisenka E L M Vissers; Joris A Veltman
Journal:  Nature       Date:  2014-06-04       Impact factor: 49.962

6.  Mutation analysis of the entire PKD1 gene: genetic and diagnostic implications.

Authors:  S Rossetti; L Strmecki; V Gamble; S Burton; V Sneddon; B Peral; S Roy; A Bakkaloglu; R Komel; C G Winearls; P C Harris
Journal:  Am J Hum Genet       Date:  2000-12-12       Impact factor: 11.025

7.  Unified criteria for ultrasonographic diagnosis of ADPKD.

Authors:  York Pei; James Obaji; Annie Dupuis; Andrew D Paterson; Riccardo Magistroni; Elizabeth Dicks; Patrick Parfrey; Benvon Cramer; Eliecer Coto; Roser Torra; Jose L San Millan; Robert Gibson; Martijn Breuning; Dorien Peters; David Ravine
Journal:  J Am Soc Nephrol       Date:  2008-10-22       Impact factor: 10.121

8.  Comprehensive molecular diagnostics in autosomal dominant polycystic kidney disease.

Authors:  Sandro Rossetti; Mark B Consugar; Arlene B Chapman; Vicente E Torres; Lisa M Guay-Woodford; Jared J Grantham; William M Bennett; Catherine M Meyers; Denise L Walker; Kyongtae Bae; Qin Jean Zhang; Paul A Thompson; J Philip Miller; Peter C Harris
Journal:  J Am Soc Nephrol       Date:  2007-06-20       Impact factor: 10.121

9.  Molecular diagnosis of autosomal dominant polycystic kidney disease using next-generation sequencing.

Authors:  Adrian Y Tan; Alber Michaeel; Genyan Liu; Olivier Elemento; Jon Blumenfeld; Stephanie Donahue; Tom Parker; Daniel Levine; Hanna Rennert
Journal:  J Mol Diagn       Date:  2013-12-27       Impact factor: 5.568

10.  SpeedSeq: ultra-fast personal genome analysis and interpretation.

Authors:  Colby Chiang; Ryan M Layer; Gregory G Faust; Michael R Lindberg; David B Rose; Erik P Garrison; Gabor T Marth; Aaron R Quinlan; Ira M Hall
Journal:  Nat Methods       Date:  2015-08-10       Impact factor: 28.547

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  28 in total

1.  Prevalence Estimates of Polycystic Kidney and Liver Disease by Population Sequencing.

Authors:  Matthew B Lanktree; Amirreza Haghighi; Elsa Guiard; Ioan-Andrei Iliuta; Xuewen Song; Peter C Harris; Andrew D Paterson; York Pei
Journal:  J Am Soc Nephrol       Date:  2018-08-22       Impact factor: 10.121

Review 2.  Genomic medicine for kidney disease.

Authors:  Emily E Groopman; Hila Milo Rasouly; Ali G Gharavi
Journal:  Nat Rev Nephrol       Date:  2018-01-08       Impact factor: 28.314

Review 3.  Polycystic kidney disease.

Authors:  Carsten Bergmann; Lisa M Guay-Woodford; Peter C Harris; Shigeo Horie; Dorien J M Peters; Vicente E Torres
Journal:  Nat Rev Dis Primers       Date:  2018-12-06       Impact factor: 52.329

4.  Whole-Exome Sequencing Application for Genetic Diagnosis of Kidney Diseases: A Study from Southwest of Iran.

Authors:  Mina Zamani; Tahereh Seifi; Sahar Sedighzadeh; Samira Negahdari; Jawaher Zeighami; Alireza Sedaghat; Tahereh Yadegari; Alihossein Saberi; Mohammad Hamid; Gholamreza Shariati; Hamid Galehdari
Journal:  Kidney360       Date:  2021-03-10

5.  Detection of PKD1 and PKD2 Somatic Variants in Autosomal Dominant Polycystic Kidney Cyst Epithelial Cells by Whole-Genome Sequencing.

Authors:  Zhengmao Zhang; Hanwen Bai; Jon Blumenfeld; Andrew B Ramnauth; Irina Barash; Martin Prince; Adrian Y Tan; Alber Michaeel; Genyan Liu; Ines Chicos; Lior Rennert; Stavros Giannakopoulos; Karen Larbi; Stuart Hughes; Steven P Salvatore; Brian D Robinson; Sandip Kapur; Hanna Rennert
Journal:  J Am Soc Nephrol       Date:  2021-10-29       Impact factor: 10.121

Review 6.  Genetic testing for kidney disease of unknown etiology.

Authors:  Thomas Hays; Emily E Groopman; Ali G Gharavi
Journal:  Kidney Int       Date:  2020-04-24       Impact factor: 10.612

Review 7.  Unravelling the complex genetics of common kidney diseases: from variants to mechanisms.

Authors:  Katie Marie Sullivan; Katalin Susztak
Journal:  Nat Rev Nephrol       Date:  2020-06-08       Impact factor: 28.314

Review 8.  New treatment paradigms for ADPKD: moving towards precision medicine.

Authors:  Matthew B Lanktree; Arlene B Chapman
Journal:  Nat Rev Nephrol       Date:  2017-10-09       Impact factor: 28.314

9.  Australia and New Zealand renal gene panel testing in routine clinical practice of 542 families.

Authors:  Hope A Tanudisastro; Katherine Holman; Gladys Ho; Elizabeth Farnsworth; Katrina Fisk; Thet Gayagay; Emma Hackett; Gemma Jenkins; Rahul Krishnaraj; Tiffany Lai; Karen Wong; Chirag Patel; Amali Mallawaarachchi; Andrew J Mallett; Bruce Bennetts; Stephen I Alexander; Hugh J McCarthy
Journal:  NPJ Genom Med       Date:  2021-03-04       Impact factor: 8.617

10.  Population data improves variant interpretation in autosomal dominant polycystic kidney disease.

Authors:  Amali C Mallawaarachchi; Timothy J Furlong; John Shine; Peter C Harris; Mark J Cowley
Journal:  Genet Med       Date:  2018-10-29       Impact factor: 8.822

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