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ABSTRACT: Objective
There are theoretical reasons why comparing marker allele frequencies between cases of different diseases, rather than with controls, may offer benefits. The samples may be better matched, especially for background risk factors common to both diseases. Genetic loci may also be detected which influence which of the two diseases occurs if common risk factors are present.Method
We used samples of UK bipolar and schizophrenic cases that had earlier been subject to genome-wide association studies and compared marker allele frequencies between the two samples. When these differed for a marker, we compared the case sample allele frequencies with those of a control sample.Results
Eight markers were significant at P value of less than 10(-5). Of these, the most interesting finding was for rs17645023, which was significant at P value of less than 10(-6) and which lies 36 kb from CACNG5. Control allele frequencies for this marker were intermediate between those for bipolar and schizophrenic cases.Conclusion
The application of this approach suggests that it does have some merits. The finding for CACNG5, taken together with the earlier implication of CACNA1C and CACNA1B, strongly suggests a key role for voltage-dependent calcium channel genes in the susceptibility to bipolar disorder and/or schizophrenia.
SUBMITTER: Curtis D
PROVIDER: S-EPMC3024533 | biostudies-literature | 2011 Feb
REPOSITORIES: biostudies-literature
Curtis David D Vine Anna E AE McQuillin Andrew A Bass Nicholas James NJ Pereira Ana A Kandaswamy Radhika R Lawrence Jacob J Anjorin Adebayo A Choudhury Khalid K Datta Susmita R SR Puri Vinay V Krasucki Robert R Pimm Jonathan J Thirumalai Srinivasa S Quested Digby D Gurling Hugh M D HM
Psychiatric genetics 20110201 1
<h4>Objective</h4>There are theoretical reasons why comparing marker allele frequencies between cases of different diseases, rather than with controls, may offer benefits. The samples may be better matched, especially for background risk factors common to both diseases. Genetic loci may also be detected which influence which of the two diseases occurs if common risk factors are present.<h4>Method</h4>We used samples of UK bipolar and schizophrenic cases that had earlier been subject to genome-wi ...[more]