Candidate genes versus genome-wide associations: Which are better for detecting genetic susceptibility to infectious disease?

Proceedings of the Royal Society B: Biological Sciences

Volumn 278, Issue 1709, 2011, Pages 1183-1188

  Amos, W ^a   Driscoll, E ^a   Hoffman, J I ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

Association study; Heterozygosity; Infectious disease; Population simulation; Power; Tuberculosis

Indexed keywords

DETECTION METHOD; GENE EXPRESSION; GENETIC MARKER; GENOME; HETEROGENEITY; INFECTIOUS DISEASE; POPULATION MODELING; STOCHASTICITY; TUBERCULOSIS;

MICROSATELLITE DNA;

ANIMAL; ARTICLE; BIOLOGICAL MODEL; BOVINE TUBERCULOSIS; CATTLE; COMPUTER SIMULATION; GENETIC MARKER; GENETIC PREDISPOSITION; GENETICS; GENOTYPE; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICS;

ANIMALS; CATTLE; COMPUTER SIMULATION; GENETIC MARKERS; GENETIC PREDISPOSITION TO DISEASE; GENOTYPE; MICROSATELLITE REPEATS; MODELS, GENETIC; POLYMORPHISM, SINGLE NUCLEOTIDE; STOCHASTIC PROCESSES; TUBERCULOSIS, BOVINE;

EID: 79960034334     PISSN: 09628452     EISSN: 14712954     Source Type: Journal    
DOI: 10.1098/rspb.2010.1920     Document Type: Article

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