Synthesis-View: Visualization and interpretation of SNP association results for multi-cohort, multi-phenotype data and meta-analysis

BioData Mining

Volumn 3, Issue 1, 2010, Pages

  Pendergrass, Sarah A ^a   Dudek, Scott M ^a   Crawford, Dana C ^a   Ritchie, Marylyn D ^a  

^a VANDERBILT UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; CHROMOSOME; COHORT ANALYSIS; COMPUTER PROGRAM; EFFECT SIZE; ETHNICITY; GENE FREQUENCY; GENETIC ASSOCIATION; GENETIC VARIABILITY; GENOTYPE PHENOTYPE CORRELATION; META ANALYSIS (TOPIC); PHENOTYPE; PRIORITY JOURNAL; RACE; SAMPLE SIZE; SINGLE NUCLEOTIDE POLYMORPHISM;

EID: 78650131012     PISSN: None     EISSN: 17560381     Source Type: Journal    
DOI: 10.1186/1756-0381-3-10     Document Type: Article

References (4)

1. Visualizing SNP statistics in the context of linkage disequilibrium using LD-Plus. WS Bush SM Dudek MD Ritchie, Bioinformatics 2010 26 578 579 10.1093/bioinformatics/btp678 20130027
2. Haploview: analysis and visualization of LD and haplotype maps. JC Barrett B Fry J Maller MJ Daly, Bioinformatics 2005 21 263 265 10.1093/bioinformatics/bth457 15297300
3. Newly identified loci that influence lipid concentrations and risk of coronary artery disease. CJ Willer S Sanna AU Jackson A Scuteri LL Bonnycastle R Clarke SC Heath NJ Timpson SS Najjar HM Stringham,, et al. Nat Genet 2008 40 161 169 10.1038/ng.76 18193043
4. Comprehensive follow-up of the first genome-wide association study of multiple sclerosis identifies KIF21B and TMEM39A as susceptibility loci. Hum Mol Genet 2010 19 953 962 10.1093/hmg/ddp542 20007504