Literature DB >> 21415851

Cost-effective multiplexing before capture allows screening of 25 000 clinically relevant SNPs in childhood acute lymphoblastic leukemia.

A Wesolowska1, M D Dalgaard, L Borst, L Gautier, M Bak, N Weinhold, B F Nielsen, L R Helt, K Audouze, J Nersting, N Tommerup, S Brunak, T Sicheritz-Ponten, H Leffers, K Schmiegelow, R Gupta.   

Abstract

Genetic variants, including single-nucleotide polymorphisms (SNPs), are key determiners of interindividual differences in treatment efficacy and toxicity in childhood acute lymphoblastic leukemia (ALL). Although up to 13 chemotherapeutic agents are used in the treatment of this cancer, it remains a model disease for exploring the impact of genetic variation due to well-characterized cytogenetics, drug response pathways and precise monitoring of minimal residual disease. Here, we have selected clinically relevant genes and SNPs through literature screening, and on the basis of associations with key pathways, protein-protein interactions or downstream partners that have a role in drug disposition and treatment efficacy in childhood ALL. This allows exploration of pathways, where one of several genetic variants may lead to similar clinical phenotypes through related molecular mechanisms. We have designed a cost-effective, high-throughput capture assay of ∼25,000 clinically relevant SNPs, and demonstrated that multiple samples can be tagged and pooled before genome capture in targeted enrichment with a sufficient sequencing depth for genotyping. This multiplexed, targeted sequencing method allows exploration of the impact of pharmacogenetics on efficacy and toxicity in childhood ALL treatment, which will be of importance for personalized chemotherapy.

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Year:  2011        PMID: 21415851     DOI: 10.1038/leu.2011.32

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  11 in total

Review 1.  Applications of targeted gene capture and next-generation sequencing technologies in studies of human deafness and other genetic disabilities.

Authors:  Xi Lin; Wenxue Tang; Shoeb Ahmad; Jingqiao Lu; Candice C Colby; Jason Zhu; Qing Yu
Journal:  Hear Res       Date:  2012-01-14       Impact factor: 3.208

2.  Efficient Genome-Wide Detection and Cataloging of EMS-Induced Mutations Using Exome Capture and Next-Generation Sequencing.

Authors:  Isabelle M Henry; Ugrappa Nagalakshmi; Meric C Lieberman; Kathie J Ngo; Ksenia V Krasileva; Hans Vasquez-Gross; Alina Akhunova; Eduard Akhunov; Jorge Dubcovsky; Thomas H Tai; Luca Comai
Journal:  Plant Cell       Date:  2014-04-11       Impact factor: 11.277

3.  Pre-capture multiplexing improves efficiency and cost-effectiveness of targeted genomic enrichment.

Authors:  A Eliot Shearer; Michael S Hildebrand; Harini Ravi; Swati Joshi; Angelica C Guiffre; Barbara Novak; Scott Happe; Emily M LeProust; Richard J H Smith
Journal:  BMC Genomics       Date:  2012-11-14       Impact factor: 3.969

4.  Solution-based targeted genomic enrichment for precious DNA samples.

Authors:  Aiden Eliot Shearer; Michael S Hildebrand; Richard J H Smith
Journal:  BMC Biotechnol       Date:  2012-05-04       Impact factor: 2.563

5.  Next-generation sequencing technologies and applications for human genetic history and forensics.

Authors:  Eva C Berglund; Anna Kiialainen; Ann-Christine Syvänen
Journal:  Investig Genet       Date:  2011-11-24

6.  Pre-capture multiplexing provides additional power to detect copy number variation in exome sequencing.

Authors:  Dayne L Filer; Fengshen Kuo; Alicia T Brandt; Christian R Tilley; Piotr A Mieczkowski; Jonathan S Berg; Kimberly Robasky; Yun Li; Chris Bizon; Jeffery L Tilson; Bradford C Powell; Darius M Bost; Clark D Jeffries; Kirk C Wilhelmsen
Journal:  BMC Bioinformatics       Date:  2021-07-20       Impact factor: 3.169

7.  Genome-wide assessment of the association of rare and common copy number variations to testicular germ cell cancer.

Authors:  Daniel Edsgärd; Marlene D Dalgaard; Nils Weinhold; Agata Wesolowska-Andersen; Ewa Rajpert-De Meyts; Anne Marie Ottesen; Anders Juul; Niels E Skakkebæk; Thomas Skøt Jensen; Ramneek Gupta; Henrik Leffers; Søren Brunak
Journal:  Front Endocrinol (Lausanne)       Date:  2013-01-29       Impact factor: 5.555

8.  Population-based rare variant detection via pooled exome or custom hybridization capture with or without individual indexing.

Authors:  Enrique Ramos; Benjamin T Levinson; Sara Chasnoff; Andrew Hughes; Andrew L Young; Katherine Thornton; Allie Li; Francesco L M Vallania; Michael Province; Todd E Druley
Journal:  BMC Genomics       Date:  2012-12-06       Impact factor: 3.969

Review 9.  Cracking the Code of Human Diseases Using Next-Generation Sequencing: Applications, Challenges, and Perspectives.

Authors:  Vincenza Precone; Valentina Del Monaco; Maria Valeria Esposito; Fatima Domenica Elisa De Palma; Anna Ruocco; Francesco Salvatore; Valeria D'Argenio
Journal:  Biomed Res Int       Date:  2015-11-19       Impact factor: 3.411

10.  Genomic profiling of thousands of candidate polymorphisms predicts risk of relapse in 778 Danish and German childhood acute lymphoblastic leukemia patients.

Authors:  A Wesołowska-Andersen; L Borst; M D Dalgaard; R Yadav; K K Rasmussen; P S Wehner; M Rasmussen; T F Ørntoft; I Nordentoft; R Koehler; C R Bartram; M Schrappe; T Sicheritz-Ponten; L Gautier; H Marquart; H O Madsen; S Brunak; M Stanulla; R Gupta; K Schmiegelow
Journal:  Leukemia       Date:  2014-07-03       Impact factor: 11.528

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