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: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
Aggressive periodontitis is a multifactorial disease with strong familial aggregation. Genetic linkage analysis is a method to localize causative or predisposing genes along the chromosome, thus helping to unravel important pathogenic pathways. Prior to applying this method, however, it is essential to estimate the power of the study design. The aim of this study was to estimate the power of a large Brazilian family with generalized aggressive periodontitis (GAgP) for future linkage analysis. A three-generation family was seen at the Dental School of the Federal University of Bahia. A full-mouth periodontal probing at 6 sites/tooth was performed in all 23 family members. Five out of 10 siblings were affected with GAgP. A parametric simulation (theta = 0) was performed on 100 replicates using the statistical software SLINK for linkage analysis. The linkage LOD score criteria for complex diseases described by Haines was adopted. There was maximum expected LOD scores of 3.56 and 3.48 at penetrance rate F = 0.98, and both studied phenocopy rates p=0.0 and p=0.02, respectively. The analyzed family showed statistical power for future genetic linkage analysis of candidate genes to GAgP.
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Source |
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http://dx.doi.org/10.1590/s0103-64402010000200008 | DOI Listing |
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