Linkage and heritability analysis of migraine symptom groupings: A comparison of three different clustering methods on twin data

Chen, Carla C.M., Mengersen, Kerrie L., Keith, Jonathan M., Martin, Nicholas G., & Nyholt, Dale R. (2009) Linkage and heritability analysis of migraine symptom groupings: A comparison of three different clustering methods on twin data. Human Genetics, 125(5-6), pp. 591-604.

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Migraine is a painful disorder for which the etiology remains obscure. Diagnosis is largely based on International Headache Society criteria. However, no feature occurs in all patients who meet these criteria, and no single symptom is required for diagnosis. Consequently, this definition may not accurately reflect the phenotypic heterogeneity or genetic basis of the disorder. Such phenotypic uncertainty is typical for complex genetic disorders and has encouraged interest in multivariate statistical methods for classifying disease phenotypes. We applied three popular statistical phenotyping methods—latent class analysis, grade of membership and grade of membership “fuzzy” clustering (Fanny)—to migraine symptom data, and compared heritability and genome-wide linkage results obtained using each approach. Our results demonstrate that different methodologies produce different clustering structures and non-negligible differences in subsequent analyses. We therefore urge caution in the use of any single approach and suggest that multiple phenotyping methods be used.

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4 citations in Scopus
3 citations in Web of Science®
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ID Code: 30093
Item Type: Journal Article
Refereed: Yes
Additional URLs:
Keywords: Linkage, Heritability, Migraine, clustering methods
DOI: 10.1007/s00439-009-0652-7
ISSN: 0340-6717
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Institutes > Institute of Health and Biomedical Innovation
Past > Schools > Mathematical Sciences
Copyright Owner: Copyright 2009 Springer
Copyright Statement: The original publication is available at SpringerLink
Deposited On: 29 Jan 2010 00:03
Last Modified: 20 May 2015 00:09

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