Key issues in essential tremor genetics research: Where are we now and how can we move forward?. (22nd January 2013)

• Record Type: Journal Article
• Authors: Testa, Claudia M.
• Editors: Louis, Elan D.
• Is Part Of: Tremor and other hyperkinetic movements. Volume 3(2013)
• Publication Date: 2013-01-22
• Subjects: Essential tremor -- gene -- linkage -- association -- dystonia -- parkinsonism; Tremor -- Periodicals; Hyperkinesia -- Periodicals; 616.8
• Languages: English
• ISSNs: 2160-8288

Abstract

Background: Genetics research is an avenue towards understanding essential tremor (ET). Advances have been made in genetic linkage and association: there are three reported ET susceptibility loci, and mixed but growing data on risk associations. However, causal mutations have not been forthcoming. This disappointing lack of progress has opened productive discussions on challenges in ET and specifically ET genetics research, including fundamental assumptions in the field. Methods: This article reviews the ET genetics literature, results to date, the open questions in ET genetics and the current challenges in addressing them. Results: Several inherent ET features complicate genetic linkage and association studies: high potential phenocopy rates, inaccurate tremor self-reporting, and ET misdiagnoses are examples. Increasing use of direct examination data for subjects, family members, and controls is one current response. Smaller moves towards expanding ET phenotype research concepts into non-tremor features, clinically disputed ET subsets, and testing phenotype features instead of clinical diagnosis against genetic data are gradually occurring. The field has already moved to considering complex trait mechanisms requiring detection of combinations of rare genetic variants. Hypotheses may move further to consider novel mechanisms of inheritance, such as epigenetics. Discussion: It is an exciting time in ET genetics as investigators start moving past assumptions underlying both phenotype and genetics experimental contributions, overcoming challenges to collaboration, and engaging the ET community. Multicenter collaborative efforts comprising rich longitudinal prospective phenotype data and neuropathologic analysis combined with the latest in genetics experimental design and technology will be the next wave in the field.