Detecting significant genotype-phenotype association rules in bipolar disorder: market research meets complex genetics.

ABSTRACT:

Background

Disentangling the etiology of common, complex diseases is a major challenge in genetic research. For bipolar disorder (BD), several genome-wide association studies (GWAS) have been performed. Similar to other complex disorders, major breakthroughs in explaining the high heritability of BD through GWAS have remained elusive. To overcome this dilemma, genetic research into BD, has embraced a variety of strategies such as the formation of large consortia to increase sample size and sequencing approaches. Here we advocate a complementary approach making use of already existing GWAS data: a novel data mining procedure to identify yet undetected genotype-phenotype relationships. We adapted association rule mining, a data mining technique traditionally used in retail market res

SUBMITTER: Breuer R 

PROVIDER: S-EPMC6230336 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature