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
Web-based informatics resources for genetic disorders have evolved from genome-wide databases like OMIM and HGMD to Locus Specific databases (LSDBs) and National and Ethnic Mutation Databases (NEMDBs). However, with the increasing amenability of genetic disorders to diagnosis and better management, many previously underreported conditions are emerging as disorders of public health significance. In turn, the greater emphasis on noncommunicable disorders has generated a demand for comprehensive and relevant disease-based information from end-users, including clinicians, patients, genetic epidemiologists, health administrators and policymakers. To accommodate these demands, country-specific and disease-centric resources are required to complement the existing LSDBs and NEMDBs. Currently available preconfigured Web-based software applications can be customized for this purpose. The present article describes the formulation and construction of a Web-based informatics resource for β-thalassemia and other hemoglobinopathies, initially for use in India, a multiethnic, multireligious country with a population approaching 1,200 million. The resource ThalInd (http://ccg.murdoch.edu.au/thalind) has been created using the LOVD system, an open source platform-independent database system. The system has been customized to incorporate and accommodate data pertinent to molecular genetics, population genetics, genotype-phenotype correlations, disease burden, and infrastructural assessment. Importantly, the resource also has been aligned with the administrative health system and demographic resources of the country.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/humu.21510 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!