Literature DB >> 21880815

Gene set analysis and network analysis for genome-wide association studies.

Inti Pedroso, Gerome Breen.   

Abstract

The application of high-throughput genotyping in humans has yielded numerous insights into the genetic basis of human phenotypes and an unprecedented amount of genetic data. Genome-wide association studies (GWAS) have increased in number in recent years, but the variants that have been found have generally explained only a tiny proportion of the estimated genetic contribution to phenotypic variation. This article summarizes the progress made in the development of gene set analysis (GSA) and network analysis for GWAS was a way to identify the underlying molecular processes of human phenotypes. It also highlights some promising findings and indicates future directions that may greatly enhance the analysis and interpretation of GWAS.

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Year:  2011        PMID: 21880815     DOI: 10.1101/pdb.top065581

Source DB:  PubMed          Journal:  Cold Spring Harb Protoc        ISSN: 1559-6095


  13 in total

1.  Genome-wide pathway analysis in major depressive disorder.

Authors:  Gwan Gyu Song; Jae-Hoon Kim; Young Ho Lee
Journal:  J Mol Neurosci       Date:  2013-06-23       Impact factor: 3.444

2.  Genome-wide pathway analysis of a genome-wide association study on multiple sclerosis.

Authors:  Gwan Gyu Song; Sung Jae Choi; Jong Dae Ji; Young Ho Lee
Journal:  Mol Biol Rep       Date:  2012-12-14       Impact factor: 2.316

3.  Genome-wide pathway analysis of breast cancer.

Authors:  Young Ho Lee; Jae-Hoon Kim; Gwan Gyu Song
Journal:  Tumour Biol       Date:  2014-05-08

4.  Genome-wide pathway analysis of a genome-wide association study on psoriasis and Behcet's disease.

Authors:  Young Ho Lee; Sung Jae Choi; Jong Dae Ji; Gwan Gyu Song
Journal:  Mol Biol Rep       Date:  2011-12-27       Impact factor: 2.316

5.  Genome-wide analysis identifies an african-specific variant in SEMA4D associated with body mass index.

Authors:  Guanjie Chen; Ayo P Doumatey; Jie Zhou; Lin Lei; Amy R Bentley; Fasil Tekola-Ayele; Sally N Adebamowo; Jennifer L Baker; Olufemi Fasanmade; Godfrey Okafor; Benjamin Eghan; Kofi Agyenim-Boateng; Albert Amoah; Clement Adebamowo; Joseph Acheampong; Thomas Johnson; Johnnie Oli; Daniel Shriner; Adebowale A Adeyemo; Charles N Rotimi
Journal:  Obesity (Silver Spring)       Date:  2017-03-13       Impact factor: 5.002

6.  Genome-wide pathway analysis in neuroblastoma.

Authors:  Young Ho Lee; Jae-Hoon Kim; Gwan Gyu Song
Journal:  Tumour Biol       Date:  2013-11-30

7.  Beyond GWAS in COPD: probing the landscape between gene-set associations, genome-wide associations and protein-protein interaction networks.

Authors:  Merry-Lynn Noelle McDonald; Manuel Mattheisen; Michael H Cho; Yang-Yu Liu; Benjamin Harshfield; Craig P Hersh; Per Bakke; Amund Gulsvik; Christoph Lange; Terri H Beaty; Edwin K Silverman
Journal:  Hum Hered       Date:  2014-08-27       Impact factor: 0.444

8.  Genome-wide pathway analysis of a genome-wide association study on Alzheimer's disease.

Authors:  Young Ho Lee; Gwan Gyu Song
Journal:  Neurol Sci       Date:  2014-07-19       Impact factor: 3.307

9.  Integrated pathway-based approach identifies association between genomic regions at CTCF and CACNB2 and schizophrenia.

Authors:  Dilafruz Juraeva; Britta Haenisch; Marc Zapatka; Josef Frank; Stephanie H Witt; Thomas W Mühleisen; Jens Treutlein; Jana Strohmaier; Sandra Meier; Franziska Degenhardt; Ina Giegling; Stephan Ripke; Markus Leber; Christoph Lange; Thomas G Schulze; Rainald Mössner; Igor Nenadic; Heinrich Sauer; Dan Rujescu; Wolfgang Maier; Anders Børglum; Roel Ophoff; Sven Cichon; Markus M Nöthen; Marcella Rietschel; Manuel Mattheisen; Benedikt Brors
Journal:  PLoS Genet       Date:  2014-06-05       Impact factor: 5.917

10.  Genome-wide association study in obsessive-compulsive disorder: results from the OCGAS.

Authors:  M Mattheisen; J F Samuels; Y Wang; B D Greenberg; A J Fyer; J T McCracken; D A Geller; D L Murphy; J A Knowles; M A Grados; M A Riddle; S A Rasmussen; N C McLaughlin; E L Nurmi; K D Askland; H-D Qin; B A Cullen; J Piacentini; D L Pauls; O J Bienvenu; S E Stewart; K-Y Liang; F S Goes; B Maher; A E Pulver; Y Y Shugart; D Valle; C Lange; G Nestadt
Journal:  Mol Psychiatry       Date:  2014-05-13       Impact factor: 15.992

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