<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Yu G</submitter><funding>Food and Health Bureau</funding><funding>Research Grants Council, University Grants Committee</funding><funding>Chinese University of Hong Kong</funding><funding>Croucher Foundation</funding><pagination>602-614</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11832604</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>68(3)</volume><pubmed_abstract>&lt;h4>Aims/hypothesis&lt;/h4>Type 2 diabetes is a complex and heterogeneous disease and the aetiological components underlying the heterogeneity remain unclear in the Chinese and East Asian population. Therefore, we aimed to investigate whether specific pathophysiological pathways drive the clinical heterogeneity in type 2 diabetes.&lt;h4>Methods&lt;/h4>We employed newly developed type 2 diabetes hard-clustering and soft-clustering pathway-specific polygenic risk scores (psPRSs) to characterise individual genetic susceptibility to pathophysiological pathways implicated in type 2 diabetes in 18,217 Chinese patients from Hong Kong. The 'total' type 2 diabetes polygenic risk score (PRS) was summed by genome-wide significant type 2 diabetes signals (n=1289). We examined the associations between psPRSs an</pubmed_abstract><journal>Diabetologia</journal><pubmed_title>Type 2 diabetes pathway-specific polygenic risk scores elucidate heterogeneity in clinical presentation, disease progression and diabetic complications in 18,217 Chinese individuals with type 2 diabetes.</pubmed_title><pmcid>PMC11832604</pmcid><funding_grant_id>Research Committee Postdoctoral Fellowship Scheme</funding_grant_id><funding_grant_id>Croucher Foundation Senior Medical Research Fellow</funding_grant_id><funding_grant_id>Direct Grant</funding_grant_id><funding_grant_id>Health</funding_grant_id><funding_grant_id>Internationalisation Faculty Mobility Scheme</funding_grant_id><funding_grant_id>Research Impact Fund (CU R4012-18)</funding_grant_id><funding_grant_id>Theme-based Research Scheme (T12-402/13N)</funding_grant_id><funding_grant_id>University Grants Matching Scheme</funding_grant_id><funding_grant_id>Medical Research Fund (CFS-CUHK2)</funding_grant_id><funding_grant_id>Provost's Scheme for PhD scholarship of the Chin</funding_grant_id><funding_grant_id>Focused Innovation Scheme</funding_grant_id><pubmed_authors>Ozaki R</pubmed_authors><pubmed_authors>Huang C</pubmed_authors><pubmed_authors>So WY</pubmed_authors><pubmed_authors>Shi M</pubmed_authors><pubmed_authors>Yu G</pubmed_authors><pubmed_authors>Hong Kong Diabetes Biobank Study Group</pubmed_authors><pubmed_authors>Fung S</pubmed_authors><pubmed_authors>Hou Y</pubmed_authors><pubmed_authors>Tam CHT</pubmed_authors><pubmed_authors>Siu SC</pubmed_authors><pubmed_authors>Wu H</pubmed_authors><pubmed_authors>Szeto CC</pubmed_authors><pubmed_authors>Kam G</pubmed_authors><pubmed_authors>Chow E</pubmed_authors><pubmed_authors>Tam WH</pubmed_authors><pubmed_authors>Ma RCW</pubmed_authors><pubmed_authors>Lee HM</pubmed_authors><pubmed_authors>Tsang CC</pubmed_authors><pubmed_authors>Cheng YL</pubmed_authors><pubmed_authors>Lau ESH</pubmed_authors><pubmed_authors>Kong APS</pubmed_authors><pubmed_authors>Fan B</pubmed_authors><pubmed_authors>Tsang MW</pubmed_authors><pubmed_authors>Chan JCN</pubmed_authors><pubmed_authors>Oram RA</pubmed_authors><pubmed_authors>Luk AOY</pubmed_authors><pubmed_authors>Yeung VTF</pubmed_authors><pubmed_authors>Lee KF</pubmed_authors><pubmed_authors>TRANSCEND Consortium</pubmed_authors><pubmed_authors>Cheung HM</pubmed_authors><pubmed_authors>Yang A</pubmed_authors><pubmed_authors>Cheung EYN</pubmed_authors><pubmed_authors>Lim CKP</pubmed_authors><pubmed_authors>Hui G</pubmed_authors><pubmed_authors>Leung JYY</pubmed_authors><pubmed_authors>Li JKY</pubmed_authors><pubmed_authors>Lo S</pubmed_authors><pubmed_authors>Weedon MN</pubmed_authors><pubmed_authors>Lau IT</pubmed_authors><pubmed_authors>Lau KP</pubmed_authors><pubmed_authors>Lau E</pubmed_authors><pubmed_authors>Ng ACW</pubmed_authors></additional><is_claimable>false</is_claimable><name>Type 2 diabetes pathway-specific polygenic risk scores elucidate heterogeneity in clinical presentation, disease progression and diabetic complications in 18,217 Chinese individuals with type 2 diabetes.</name><description>&lt;h4>Aims/hypothesis&lt;/h4>Type 2 diabetes is a complex and heterogeneous disease and the aetiological components underlying the heterogeneity remain unclear in the Chinese and East Asian population. Therefore, we aimed to investigate whether specific pathophysiological pathways drive the clinical heterogeneity in type 2 diabetes.&lt;h4>Methods&lt;/h4>We employed newly developed type 2 diabetes hard-clustering and soft-clustering pathway-specific polygenic risk scores (psPRSs) to characterise individual genetic susceptibility to pathophysiological pathways implicated in type 2 diabetes in 18,217 Chinese patients from Hong Kong. The 'total' type 2 diabetes polygenic risk score (PRS) was summed by genome-wide significant type 2 diabetes signals (n=1289). We examined the associations between psPRSs an</description><dates><release>2025-01-01T00:00:00Z</release><publication>2025 Mar</publication><modification>2025-04-18T12:59:49.742Z</modification><creation>2025-04-04T02:00:57.487Z</creation></dates><accession>S-EPMC11832604</accession><cross_references><pubmed>39531041</pubmed><doi>10.1007/s00125-024-06309-y</doi></cross_references></HashMap>