Literature DB >> 33420335

False negatives in GBA1 sequencing due to polymerase dependent allelic imbalance.

Jonas M den Heijer1,2, Arnoud Schmitz3, Peter Lansbury4, Valerie C Cullen4, Dana C Hilt4, Vincenzo Bonifati5, Geert Jan Groeneveld6,7.   

Abstract

A variant in the GBA1 gene is one of the most common genetic risk factors to develop Parkinson's disease (PD). Here the serendipitous finding is reported of a polymerase dependent allelic imbalance when using next generation sequencing, potentially resulting in false-negative results when the allele frequency falls below the variant calling threshold (by default commonly at 30%). The full GBA1 gene was sequenced using next generation sequencing on saliva derived DNA from PD patients. Four polymerase chain reaction conditions were varied in twelve samples, to investigate the effect on allelic imbalance: (1) the primers (n = 4); (2) the polymerase enzymes (n = 2); (3) the primer annealing temperature (Ta) specified for the used polymerase; and (4) the amount of DNA input. Initially, 1295 samples were sequenced using Q5 High-Fidelity DNA Polymerase. 112 samples (8.6%) had an exonic variant and an additional 104 samples (8.0%) had an exonic variant that did not pass the variant frequency calling threshold of 30%. After changing the polymerase to TaKaRa LA Taq DNA Polymerase Hot-Start Version: RR042B, all samples had an allele frequency passing the calling threshold. Allele frequency was unaffected by a change in primer, annealing temperature or amount of DNA input. Sequencing of the GBA1 gene using next generation sequencing might be susceptible to a polymerase specific allelic imbalance, which can result in a large amount of flase-negative results. This was resolved in our case by changing the polymerase. Regions displaying low variant calling frequencies in GBA1 sequencing output in previous and future studies might warrant additional scrutiny.

Entities:  

Year:  2021        PMID: 33420335      PMCID: PMC7794395          DOI: 10.1038/s41598-020-80564-y

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


  22 in total

1.  Differential methylation as a cause of allele dropout at the imprinted GNAS locus.

Authors:  Rute A Tomaz; Branca M Cavaco; Valeriano Leite
Journal:  Genet Test Mol Biomarkers       Date:  2010-08

2.  The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data.

Authors:  Aaron McKenna; Matthew Hanna; Eric Banks; Andrey Sivachenko; Kristian Cibulskis; Andrew Kernytsky; Kiran Garimella; David Altshuler; Stacey Gabriel; Mark Daly; Mark A DePristo
Journal:  Genome Res       Date:  2010-07-19       Impact factor: 9.043

3.  Covalent genomic DNA modification patterns revealed by denaturing gradient gel blots.

Authors:  Shari L Laprise; Mark R Gray
Journal:  Gene       Date:  2006-12-12       Impact factor: 3.688

4.  Identification of a novel recombinant mutation in Korean patients with Gaucher disease using a long-range PCR approach.

Authors:  Seon-Yong Jeong; Seo-Jin Kim; Jeong-A Yang; Ji-Hee Hong; Su-Jin Lee; Hyon J Kim
Journal:  J Hum Genet       Date:  2011-04-14       Impact factor: 3.172

5.  GBA Analysis in Next-Generation Era: Pitfalls, Challenges, and Possible Solutions.

Authors:  Stefania Zampieri; Silvia Cattarossi; Bruno Bembi; Andrea Dardis
Journal:  J Mol Diagn       Date:  2017-07-18       Impact factor: 5.568

6.  Analysis of error profiles in deep next-generation sequencing data.

Authors:  Xiaotu Ma; Ying Shao; Liqing Tian; Diane A Flasch; Heather L Mulder; Michael N Edmonson; Yu Liu; Xiang Chen; Scott Newman; Joy Nakitandwe; Yongjin Li; Benshang Li; Shuhong Shen; Zhaoming Wang; Sheila Shurtleff; Leslie L Robison; Shawn Levy; John Easton; Jinghui Zhang
Journal:  Genome Biol       Date:  2019-03-14       Impact factor: 13.583

7.  Allele dropout caused by a non-primer-site SNV affecting PCR amplification--a call for next-generation primer design algorithm.

Authors:  Ching-wan Lam; Chloe Miu Mak
Journal:  Clin Chim Acta       Date:  2013-03-21       Impact factor: 3.786

8.  Glucocerebrosidase mutations confer a greater risk of dementia during Parkinson's disease course.

Authors:  Núria Setó-Salvia; Javier Pagonabarraga; Henry Houlden; Berta Pascual-Sedano; Oriol Dols-Icardo; Arianna Tucci; Coro Paisán-Ruiz; Antonia Campolongo; Sofía Antón-Aguirre; Inés Martín; Laia Muñoz; Enric Bufill; Lluïsa Vilageliu; Daniel Grinberg; Mónica Cozar; Rafael Blesa; Alberto Lleó; John Hardy; Jaime Kulisevsky; Jordi Clarimón
Journal:  Mov Disord       Date:  2011-12-15       Impact factor: 10.338

9.  Specifically neuropathic Gaucher's mutations accelerate cognitive decline in Parkinson's.

Authors:  Ganqiang Liu; Brendon Boot; Joseph J Locascio; Iris E Jansen; Sophie Winder-Rhodes; Shirley Eberly; Alexis Elbaz; Alexis Brice; Bernard Ravina; Jacobus J van Hilten; Florence Cormier-Dequaire; Jean-Christophe Corvol; Roger A Barker; Peter Heutink; Johan Marinus; Caroline H Williams-Gray; Clemens R Scherzer
Journal:  Ann Neurol       Date:  2016-11       Impact factor: 10.422

10.  A Large-Scale Full GBA1 Gene Screening in Parkinson's Disease in the Netherlands.

Authors:  Jonas M den Heijer; Valerie C Cullen; Marialuisa Quadri; Arnoud Schmitz; Dana C Hilt; Peter Lansbury; Henk W Berendse; Wilma D J van de Berg; Rob M A de Bie; Jeffrey M Boertien; Agnita J W Boon; M Fiorella Contarino; Jacobus J van Hilten; Jorrit I Hoff; Tom van Mierlo; Alex G Munts; Anne A van der Plas; Mirthe M Ponsen; Frank Baas; Danielle Majoor-Krakauer; Vincenzo Bonifati; Teus van Laar; Geert J Groeneveld
Journal:  Mov Disord       Date:  2020-07-02       Impact factor: 10.338

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