IGG3: A tool to rapidly integrate large genotype datasets for whole-genome imputation and individual-level meta-analysis

Bioinformatics

Volumn 25, Issue 11, 2009, Pages 1449-1450

  Li, Miao Xin ^a   Jiang, Lin ^b   Kao, Patrick Yu Ping ^a   Sham, Pak C ^a   Song, You Qiang ^a  

^a UNIVERSITY OF HONG KONG   (Hong Kong)

^b HUNAN UNIVERSITY OF COMMERCE   (China)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; GENETIC ASSOCIATION; GENOME; GENOTYPE; PRIORITY JOURNAL; SIMULATION; STATISTICAL ANALYSIS;

ALGORITHMS; DATABASES, GENETIC; GENOME; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; GENOTYPE; INFORMATION STORAGE AND RETRIEVAL; META-ANALYSIS AS TOPIC; SOFTWARE;

EID: 65649085584     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btp183     Document Type: Article

References (5)

1. de Bakker,P.I. et al. (2008) Practical aspects of imputation-driven meta-analysis of genome-wide association studies. Hum. Mol. Genet., 17, R122-R128.
2. Frazer,K.A. et al. (2007)Asecond generation human haplotype map of over 3.1 million SNPs. Nature, 449, 851-861.
3. Li,M.X. et al. (2007) IGG: A tool to integrate GeneChips for genetic studies. Bioinformatics, 23, 3105-3107.
4. Marchini,J. et al. (2007)Anew multipoint method for genome-wide association studies by imputation of genotypes. Nat. Genet., 39 906-913.
5. Nicolae,D.L. (2006) Testing untyped alleles (TUNA)-applications to genome-wide association studies. Genet. Epidemiol., 30, 718-727.