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Equine disease association studies: a clinician's perspective
Author(s) -
McCLURE J. J.
Publication year - 1988
Publication title -
animal genetics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.756
H-Index - 81
eISSN - 1365-2052
pISSN - 0268-9146
DOI - 10.1111/j.1365-2052.1988.tb00832.x
Subject(s) - disease , biology , perspective (graphical) , association (psychology) , genetic association , selection (genetic algorithm) , pathology , genetics , medicine , genotype , single nucleotide polymorphism , psychology , computer science , machine learning , artificial intelligence , psychotherapist , gene
Summary. Diagnostic criteria should be carefully defined and described in disease association studies to allow (1) comparison among studies from different laboratories evaluating the same disease, (2) critical evaluation of selection procedures of patients, and (3) to strengthen genuine associations with any genetic marker system. Factors to consider include age at onset of disease, specialized diagnostic methods necessary to diagnose or eliminate patients with a selected disease, ranges of affectedness and differences in sex expression.