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Using recursive partitioning for exploration and follow‐up of linkage and association analyses
Author(s) -
Wilcox Marsha A.,
Smoller Jordan W.,
Lunetta Kathryn L.,
Neuberg Donna
Publication year - 1999
Publication title -
genetic epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.301
H-Index - 98
eISSN - 1098-2272
pISSN - 0741-0395
DOI - 10.1002/gepi.1370170766
Subject(s) - linkage (software) , epistasis , association (psychology) , genetic association , genetics , association mapping , allele , biology , genome wide association study , genetic linkage , recursive partitioning , computational biology , genotype , computer science , psychology , gene , single nucleotide polymorphism , machine learning , psychotherapist
We first conducted a genome‐wide screen for association with discordant sibships using the multi allelic and diallelic SDT. Markers at D4S1628, D8S1109, D9S66 and D7S1797 showed multi‐allelic association. Deleterious diallelic association was found for markers at D1S1613, D1S534, D3S2459, D7S1817, and D9S131. Protective association was found at markers D8S1109, D8S1136, and D9S66. We then incorporated these findings with previous linkage findings in the exploration of oligogenes and epistasis using recursive partitioning. We conclude that recursive partitioning can be a useful adjunct to traditional linkage and association analyses in the exploration of these effects.