Combined accelerometer and genetic analysis to differentiate essential tremor from Parkinson’s disease

PeerJ

Eli Cohen¹  Sandeep R. Gupta¹  Sherrie Gould²  Nelson Hwynn²  Brian N. Schrader³  Ali Torkamani³  Jennifer L. Wagner³  Emily G. Spencer³  Bhuvan Molparia³ 

[1] Intel Corporation, Santa Clara, CA, USA;Scripps Clinic Torrey Pines, Scripps Health, La Jolla, CA, USA;The Scripps Translational Science Institute, The Scripps Research Institute, La Jolla, CA, USA;

关键词: Accelerometer;    Movement disorder;    Tremor;    Genetic risk;    Genetic risk score;    Essential tremor;   

DOI  :  10.7717/peerj.5308

来源: DOAJ

【 摘 要 】

Essential tremor (ET) and Parkinson’s disease (PD) are among the most common adult-onset tremor disorders. Clinical and pathological studies suggest that misdiagnosis of PD for ET, and vice versa, occur in anywhere from 15% to 35% of cases. Complex diagnostic procedures, such as dopamine transporter imaging, can be powerful diagnostic aids but are lengthy and expensive procedures that are not widely available. Preliminary studies suggest that monitoring of tremor characteristics with consumer grade accelerometer devices could be a more accessible approach to the discrimination of PD from ET, but these studies have been performed in well-controlled clinical settings requiring multiple maneuvers and oversight from clinical or research staff, and thus may not be representative of at-home monitoring in the community setting. Therefore, we set out to determine whether discrimination of PD vs. ET diagnosis could be achieved by monitoring research subject movements at home using consumer grade devices, and whether discrimination could be improved with the addition of genetic profiling of the type that is readily available through direct-to-consumer genetic testing services. Forty subjects with PD and 27 patients with ET were genetically profiled and had their movements characterized three-times a day for two weeks through a simple procedure meant to induce rest tremors. We found that tremor characteristics could be used to predict diagnosis status (sensitivity = 76%, specificity = 65%, area under the curve (AUC) = 0.75), but that the addition of genetic risk information, via a PD polygenic risk score, did not improve discriminatory power (sensitivity = 80%, specificity = 65%, AUC = 0.73).

【 授权许可】

Unknown