Literature DB >> 20161521

Detecting Genes and Gene-gene Interactions for Age-related Macular Degeneration with a Forest-based Approach.

Minghui Wang1, Meizhuo Zhang, Xiang Chen, Heping Zhang.   

Abstract

Age-related macular degeneration (AMD) is a leading cause of vision loss in the elderly. Genetic mechanisms underlying AMD are complex. Understanding the etiology of AMD is important because of the significant health and social concerns. In this paper, we describe a forest-based approach to systematically identifying multiple genes, gene-gene interactions and gene-environment interactions underlying complex diseases in genomewide case-control studies and the application of this approach to a published data set on AMD. Our analysis not only confirmed two known haplotypes, ACTCCG (on chromosome 1 with a p-value of 1.98e-6) and TCTGGACGACA (on chromosome 7 with a p-value of 9.81e-3), but also revealed two novel haplotypes, GATAGT (on chromosome 5 with a p-value of 3.46e-3) and TCTTACGTAGA (on chromosome 12 with a p-value of 3.16e-2). Thus, the significance of this work is twofold. First, we propose a powerful and robust method to identify high-risk haplotypes and their interactions; second, we reveal potential genetic variants associated with AMD.

Entities:  

Year:  2009        PMID: 20161521      PMCID: PMC2799940          DOI: 10.1198/sbr.2009.0046

Source DB:  PubMed          Journal:  Stat Biopharm Res        ISSN: 1946-6315            Impact factor:   1.452


  28 in total

1.  Complement factor H polymorphism in age-related macular degeneration.

Authors:  Robert J Klein; Caroline Zeiss; Emily Y Chew; Jen-Yue Tsai; Richard S Sackler; Chad Haynes; Alice K Henning; John Paul SanGiovanni; Shrikant M Mane; Susan T Mayne; Michael B Bracken; Frederick L Ferris; Jurg Ott; Colin Barnstable; Josephine Hoh
Journal:  Science       Date:  2005-03-10       Impact factor: 47.728

2.  A forest-based approach to identifying gene and gene gene interactions.

Authors:  Xiang Chen; Ching-Ti Liu; Meizhuo Zhang; Heping Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2007-11-28       Impact factor: 11.205

Review 3.  The genetics of age-related macular degeneration: a review of progress to date.

Authors:  Stephen Haddad; Clara A Chen; Susan L Santangelo; Johanna M Seddon
Journal:  Surv Ophthalmol       Date:  2006 Jul-Aug       Impact factor: 6.048

4.  Restrictions on components of variance for epistatic models.

Authors:  H K Tiwari; R C Elston
Journal:  Theor Popul Biol       Date:  1998-10       Impact factor: 1.570

5.  Who's afraid of epistasis?

Authors:  W N Frankel; N J Schork
Journal:  Nat Genet       Date:  1996-12       Impact factor: 38.330

6.  Complement factor H variant increases the risk of age-related macular degeneration.

Authors:  Jonathan L Haines; Michael A Hauser; Silke Schmidt; William K Scott; Lana M Olson; Paul Gallins; Kylee L Spencer; Shu Ying Kwan; Maher Noureddine; John R Gilbert; Nathalie Schnetz-Boutaud; Anita Agarwal; Eric A Postel; Margaret A Pericak-Vance
Journal:  Science       Date:  2005-03-10       Impact factor: 47.728

7.  Gene-gene and gene-environment interactions involving HLA-DRB1, PTPN22, and smoking in two subsets of rheumatoid arthritis.

Authors:  Henrik Kallberg; Leonid Padyukov; Robert M Plenge; Johan Ronnelid; Peter K Gregersen; Annette H M van der Helm-van Mil; Rene E M Toes; Tom W Huizinga; Lars Klareskog; Lars Alfredsson
Journal:  Am J Hum Genet       Date:  2007-04-02       Impact factor: 11.025

8.  Cell and tumor classification using gene expression data: construction of forests.

Authors:  Heping Zhang; Chang-Yung Yu; Burton Singer
Journal:  Proc Natl Acad Sci U S A       Date:  2003-03-17       Impact factor: 11.205

9.  A genome-wide tree- and forest-based association analysis of comorbidity of alcoholism and smoking.

Authors:  Yuanqing Ye; Xiaoyun Zhong; Heping Zhang
Journal:  BMC Genet       Date:  2005-12-30       Impact factor: 2.797

10.  MegaSNPHunter: a learning approach to detect disease predisposition SNPs and high level interactions in genome wide association study.

Authors:  Xiang Wan; Can Yang; Qiang Yang; Hong Xue; Nelson L S Tang; Weichuan Yu
Journal:  BMC Bioinformatics       Date:  2009-01-09       Impact factor: 3.169

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  6 in total

1.  Comments on Fifty Years of Classification and Regression Trees.

Authors:  Chi Song; Heping Zhang
Journal:  Int Stat Rev       Date:  2014-12-01       Impact factor: 2.217

2.  The use of classification trees for bioinformatics.

Authors:  Xiang Chen; Minghui Wang; Heping Zhang
Journal:  Wiley Interdiscip Rev Data Min Knowl Discov       Date:  2011-01-06

3.  SNPs and other features as they predispose to complex disease: genome-wide predictive analysis of a quantitative phenotype for hypertension.

Authors:  Joong-Ho Won; Georg Ehret; Aravinda Chakravarti; Richard A Olshen
Journal:  PLoS One       Date:  2011-11-30       Impact factor: 3.240

4.  AprioriGWAS, a new pattern mining strategy for detecting genetic variants associated with disease through interaction effects.

Authors:  Qingrun Zhang; Quan Long; Jurg Ott
Journal:  PLoS Comput Biol       Date:  2014-06-05       Impact factor: 4.475

5.  FHSA-SED: Two-Locus Model Detection for Genome-Wide Association Study with Harmony Search Algorithm.

Authors:  Shouheng Tuo; Junying Zhang; Xiguo Yuan; Yuanyuan Zhang; Zhaowen Liu
Journal:  PLoS One       Date:  2016-03-25       Impact factor: 3.240

6.  Niche harmony search algorithm for detecting complex disease associated high-order SNP combinations.

Authors:  Shouheng Tuo; Junying Zhang; Xiguo Yuan; Zongzhen He; Yajun Liu; Zhaowen Liu
Journal:  Sci Rep       Date:  2017-09-14       Impact factor: 4.379

  6 in total

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