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
Unlocking the genetic contribution to autoimmune thyroid disease (AITD) will hold one of the keys to understanding disease pathogenesis and developing improved treatments. Significant increases in our understanding of the human genome combined with methodological advances in our ability to search for genetic variation have transformed the way in which we screen the genome for susceptibility loci. From early linkage analysis through to candidate gene studies and most recently genome-wide association screening, each methodology has revealed important insights into not just the heritability of AITD but also the best way of identifying disease causing DNA variants. This review will examine each of the different genome screening techniques, highlighting the successes and failures of each methodology and the lessons learnt which have helped inform the next phase of the disease-gene identification process. We will also look to see where we should be focusing our research efforts in the future.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1093/bfgp/elq036 | DOI Listing |
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