An empirical evaluation of imputation accuracy for association statistics reveals increased type-I error rates in genome-wide associations

BMC Genetics

Volumn 12, Issue , 2011, Pages

  Almeida, Marcio A A ^a   Oliveira, Paulo S L ^a   Pereira, Tiago V ^a   Krieger, José E ^a   Pereira, Alexandre C ^a  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ERROR; GENE IDENTIFICATION; GENETIC ANALYSIS; GENOME; GENOTYPE; ALGORITHM; GENE FREQUENCY; GENE LINKAGE DISEQUILIBRIUM; GENETIC ASSOCIATION; GENETIC MARKER; GENETICS; HAPLOTYPE; HUMAN; LABORATORY DIAGNOSIS; METHODOLOGY; NON INSULIN DEPENDENT DIABETES MELLITUS; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICS;

ALGORITHMS; DIABETES MELLITUS, TYPE 2; FALSE POSITIVE REACTIONS; GENE FREQUENCY; GENETIC MARKERS; GENOME-WIDE ASSOCIATION STUDY; GENOTYPE; HAPLOTYPES; HUMANS; LINKAGE DISEQUILIBRIUM; POLYMORPHISM, SINGLE NUCLEOTIDE; STATISTICS AS TOPIC;

EID: 78651562096     PISSN: None     EISSN: 14712156     Source Type: Journal    
DOI: 10.1186/1471-2156-12-10     Document Type: Article

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