Variability in GWAS analysis: The impact of genotype calling algorithm inconsistencies

Pharmacogenomics Journal

Volumn 10, Issue 4, 2010, Pages 324-335

  Miclaus, K ^a   Chierici, M ^b   Lambert, C ^c   Zhang, L ^d   Vega, S ^e   Hong, H ^f   Yin, S ^d   Furlanello, C ^b   Wolfinger, R ^a   Goodsaid, F ^d  

^a SAS INSTITUTE INC   (United States)

^b FONDAZIONE BRUNO KESSLER   (Italy)

^c Golden Helix   (United States)

^d CENTER FOR DRUG EVALUATION AND RESEARCH   (United States)

^e MICROSOFT   (United States)

^f NATIONAL CENTER FOR TOXICOLOGICAL RESEARCH   (United States)

Author keywords

association studies; batch effects; BRLMM; CHIAMO; CRLMM; genotype calling algorithms; GWAS

Indexed keywords

ARTICLE; CORONARY ARTERY DISEASE; GENETIC ALGORITHM; GENETIC ASSOCIATION; GENOTYPE; PRIORITY JOURNAL; QUALITY CONTROL; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; SYSTEMATIC ERROR; ALGORITHM; BIOLOGY; DNA MICROARRAY; GENETIC DATABASE; GENETICS; HEART DISEASE; HUMAN; PROCEDURES; STANDARD; STANDARDS; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; COMPUTATIONAL BIOLOGY; DATA INTERPRETATION, STATISTICAL; DATABASES, GENETIC; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HEART DISEASES; HUMANS; LINEAR MODELS; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; POLYMORPHISM, SINGLE NUCLEOTIDE; QUALITY CONTROL; REFERENCE STANDARDS;

EID: 77955154184     PISSN: 1470269X     EISSN: 14731150     Source Type: Journal    
DOI: 10.1038/tpj.2010.46     Document Type: Article

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