A simple method for assessing the strength of evidence for association at the level of the whole gene
Author(s) -
David Curtis
Publication year - 2008
Publication title -
advances and applications in bioinformatics and chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.223
H-Index - 15
ISSN - 1178-6949
DOI - 10.2147/aabc.s4095
Subject(s) - genetics , biology , gene , statistic , locus (genetics) , genetic association , computational biology , multiple comparisons problem , permutation (music) , association (psychology) , genotype , single nucleotide polymorphism , statistics , mathematics , psychology , psychotherapist , physics , acoustics
It is expected that different markers may show different patterns of association with different pathogenic variants within a given gene. It would be helpful to combine the evidence implicating association at the level of the whole gene rather than just for individual markers or haplotypes. Doing this is complicated by the fact that different markers do not represent independent sources of information.
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