Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Type 2 diabetes (T2D) is a complex genetic disease with substantial environmental inputs leading to glucose homeostasis defects. Insulin production is central to proper glucose control, and islet cell dysfunction and death lie at the nexus of T2D genetics and pathophysiology. Comprehensive identification of genes and pathways contributing to these processes is essential for mechanistic understanding and therapeutic targeting. Here, we summarize the latest human and mouse T2D genetic and genomic studies and assess how these parallel variant-to-function efforts and associated data contribute convergent or complementary insights and new opportunities to dissect T2D islet (dys)function. We distill mechanistic and phenotypic studies of candidate T2D effector genes into prevailing themes by which these T2D risk genes likely contribute to islet dysfunction. We assess how recent molecular and metabolic studies in genetically diverse mice (i.e., Collaborative Cross, Diversity Outbred) help to nominate new putative T2D effector genes and processes for future exploration and provide examples where these studies illuminate potential limitations of studies using inbred mice. Finally, we discuss opportunities to address knowledge gaps and modeling challenges to translate T2D genetic associations into molecular and pathophysiologic understanding.
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http://dx.doi.org/10.1146/annurev-genet-020525-114513 | DOI Listing |