Literature DB >> 16288307

Recent advances in array comparative genomic hybridization technologies and their applications in human genetics.

William W Lockwood1, Raj Chari, Bryan Chi, Wan L Lam.   

Abstract

Array comparative genomic hybridization (array CGH) is a method used to detect segmental DNA copy number alterations. Recently, advances in this technology have enabled high-resolution examination for identifying genetic alterations and copy number variations on a genome-wide scale. This review describes the current genomic array platforms and CGH methodologies, highlights their applications for studying cancer genetics, constitutional disease and human variation, and discusses visualization and analytical software programs for computational interpretation of array CGH data.

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Year:  2006        PMID: 16288307     DOI: 10.1038/sj.ejhg.5201531

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


  36 in total

1.  Comparison of comparative genomic hybridization technologies across microarray platforms.

Authors:  Susan D Hester; Laura Reid; Norma Nowak; Wendell D Jones; Joel S Parker; Kevin Knudtson; William Ward; Jay Tiesman; Nancy D Denslow
Journal:  J Biomol Tech       Date:  2009-04

2.  Critical evaluation of copy number variant calling methods using DNA methylation.

Authors:  Varun Kilaru; Anna K Knight; Seyma Katrinli; Dawayland Cobb; Adriana Lori; Charles F Gillespie; Adam X Maihofer; Caroline M Nievergelt; Anne L Dunlop; Karen N Conneely; Alicia K Smith
Journal:  Genet Epidemiol       Date:  2019-11-18       Impact factor: 2.135

3.  Nonrecurrent MECP2 duplications mediated by genomic architecture-driven DNA breaks and break-induced replication repair.

Authors:  Marijke Bauters; Hilde Van Esch; Michael J Friez; Odile Boespflug-Tanguy; Martin Zenker; Angela M Vianna-Morgante; Carla Rosenberg; Jaakko Ignatius; Martine Raynaud; Karen Hollanders; Karen Govaerts; Kris Vandenreijt; Florence Niel; Pierre Blanc; Roger E Stevenson; Jean-Pierre Fryns; Peter Marynen; Charles E Schwartz; Guy Froyen
Journal:  Genome Res       Date:  2008-04-02       Impact factor: 9.043

4.  Oncogenic function of SCCRO5/DCUN1D5 requires its Neddylation E3 activity and nuclear localization.

Authors:  Claire C Bommeljé; Víola B Weeda; Guochang Huang; Kushyup Shah; Sarina Bains; Elizabeth Buss; Manish Shaha; Mithat Gönen; Ronald Ghossein; Suresh Y Ramanathan; Bhuvanesh Singh
Journal:  Clin Cancer Res       Date:  2013-11-05       Impact factor: 12.531

Review 5.  Gene discovery in cervical cancer : towards diagnostic and therapeutic biomarkers.

Authors:  Cara M Martin; Louise Kehoe; Cathy O Spillane; John J O'Leary
Journal:  Mol Diagn Ther       Date:  2007       Impact factor: 4.074

6.  Technical demonstration of whole genome array comparative genomic hybridization.

Authors:  Jennifer Y Kennett; Spencer K Watson; Heather Saprunoff; Cameron Heryet; Wan L Lam
Journal:  J Vis Exp       Date:  2008-08-05       Impact factor: 1.355

7.  Analysis of array-CGH data using the R and Bioconductor software suite.

Authors:  Winfried A Hofmann; Anja Weigmann; Marcel Tauscher; Britta Skawran; Tim Focken; Reena Buurman; Luzie U Wingen; Brigitte Schlegelberger; Doris Steinemann
Journal:  Comp Funct Genomics       Date:  2009-08-19

8.  CHESS (CgHExpreSS): a comprehensive analysis tool for the analysis of genomic alterations and their effects on the expression profile of the genome.

Authors:  Mikyung Lee; Yangseok Kim
Journal:  BMC Bioinformatics       Date:  2009-12-16       Impact factor: 3.169

9.  RJaCGH: Bayesian analysis of aCGH arrays for detecting copy number changes and recurrent regions.

Authors:  Oscar M Rueda; Ramon Diaz-Uriarte
Journal:  Bioinformatics       Date:  2009-05-06       Impact factor: 6.937

10.  CGHnormaliter: an iterative strategy to enhance normalization of array CGH data with imbalanced aberrations.

Authors:  Bart P P van Houte; Thomas W Binsl; Hannes Hettling; Walter Pirovano; Jaap Heringa
Journal:  BMC Genomics       Date:  2009-08-26       Impact factor: 3.969

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