Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Objectives: To describe 4 large families with essential tremor (ET) to draw attention to the marked clinical heterogeneity of ET. To use computer simulation analysis to provide information about the power of the family material for future linkage studies.
Subjects: We examined a total of 251 members from 4 kindreds with ET. The mean (+/-SD) age at onset of ET varied among the 4 kindreds between 19.0 +/- 11.4 years and 45.6 +/- 7.4 years. Three of the kindreds had a total of 41 members with the combination of ET and dystonia, typically manifested as torticollis or dystonic writers' cramp. In 1 of the kindreds, ET seemed to be associated with malignant hyperthermia. One kindred represented "pure" ET without any associated disorders.
Methods: In addition to detailed clinical assessments, we conducted computer simulations on the families' pedigrees using a model that presumed an autosomal dominant inheritance pattern with high penetrance.
Results: Although there was evidence of clinical heterogeneity between the families, the duration of symptoms directly correlated with the severity of disease. The computer simulations indicated that 3 of the 4 pedigrees had enough power to generate a significant linkage result in a total genome search with highly polymorphic markers.
Conclusions: This study confirms the frequent coexistence of ET and dystonia in individual families. Computer simulations can be used to determine the power of the family to detect a linked marker. Identification of the defective gene(s) will enable a better understanding and classification of these common movement disorders.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1001/archneur.1997.00550150047015 | DOI Listing |
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