Improving the calculation of statistical significance in genome-wide scans

Biostatistics

Volumn 6, Issue 4, 2005, Pages 520-538

  Ängquist, Lars ^a   Hössjer, Ola ^b  

^a LUND UNIVERSITY   (Sweden)

^b STOCKHOLM UNIVERSITY   (Sweden)

Author keywords

Adjusted approximation formula; Allele sharing; Approximation of distributions; Crossover rate; Deviation from Normality; Extreme value formulas; Genome wide significance; Hermite polynomials; Marker density; Nonparametric linkage analysis

Indexed keywords

ARTICLE; COMPARATIVE STUDY; COMPUTER SIMULATION; CROSSING OVER; FEMALE; GENETIC LINKAGE; GENETICS; GENOME; HUMAN; MALE; METHODOLOGY; MONTE CARLO METHOD; NON INSULIN DEPENDENT DIABETES MELLITUS; PEDIGREE; PROBABILITY; STATISTICS;

COMPUTER SIMULATION; CROSSING OVER, GENETIC; DIABETES MELLITUS, TYPE 2; FEMALE; GENOME, HUMAN; HUMANS; LINKAGE (GENETICS); MALE; MARKOV CHAINS; MONTE CARLO METHOD; PEDIGREE; STATISTICS;

EID: 18944363606     PISSN: 14654644     EISSN: 14684357     Source Type: Journal    
DOI: 10.1093/biostatistics/kxi025     Document Type: Article

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