Genetic drivers of heterogeneity in type 2 diabetes pathophysiology

Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association st...

Ամբողջական նկարագրություն

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Հիմնական հեղինակներ: Suzuki, K, Hatzikotoulas, K, Southam, L, Bragg, F, Lin, K, Chen, Z, Millwood, I, Walters, R, Lindgren, C, Sun, M, McCarthy, M, Mahajan, A
Ձևաչափ: Journal article
Լեզու:English
Հրապարակվել է: Springer Nature 2024
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author Suzuki, K
Hatzikotoulas, K
Southam, L
Bragg, F
Lin, K
Chen, Z
Millwood, I
Walters, R
Lindgren, C
Sun, M
McCarthy, M
Mahajan, A
author_facet Suzuki, K
Hatzikotoulas, K
Southam, L
Bragg, F
Lin, K
Chen, Z
Millwood, I
Walters, R
Lindgren, C
Sun, M
McCarthy, M
Mahajan, A
author_sort Suzuki, K
collection OXFORD
description Type 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10−8) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores5 in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.
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spelling oxford-uuid:16f6cd33-d82f-4afd-a2f1-ac41c6c5e14f2024-07-03T15:18:48ZGenetic drivers of heterogeneity in type 2 diabetes pathophysiologyJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:16f6cd33-d82f-4afd-a2f1-ac41c6c5e14fEnglishSymplectic ElementsSpringer Nature2024Suzuki, KHatzikotoulas, KSoutham, LBragg, FLin, KChen, ZMillwood, IWalters, RLindgren, CSun, MMcCarthy, MMahajan, AType 2 diabetes (T2D) is a heterogeneous disease that develops through diverse pathophysiological processes and molecular mechanisms that are often specific to cell type. Here, to characterize the genetic contribution to these processes across ancestry groups, we aggregate genome-wide association study data from 2,535,601 individuals (39.7% not of European ancestry), including 428,452 cases of T2D. We identify 1,289 independent association signals at genome-wide significance (P < 5 × 10−8) that map to 611 loci, of which 145 loci are, to our knowledge, previously unreported. We define eight non-overlapping clusters of T2D signals that are characterized by distinct profiles of cardiometabolic trait associations. These clusters are differentially enriched for cell-type-specific regions of open chromatin, including pancreatic islets, adipocytes, endothelial cells and enteroendocrine cells. We build cluster-specific partitioned polygenic scores5 in a further 279,552 individuals of diverse ancestry, including 30,288 cases of T2D, and test their association with T2D-related vascular outcomes. Cluster-specific partitioned polygenic scores are associated with coronary artery disease, peripheral artery disease and end-stage diabetic nephropathy across ancestry groups, highlighting the importance of obesity-related processes in the development of vascular outcomes. Our findings show the value of integrating multi-ancestry genome-wide association study data with single-cell epigenomics to disentangle the aetiological heterogeneity that drives the development and progression of T2D. This might offer a route to optimize global access to genetically informed diabetes care.
spellingShingle Suzuki, K
Hatzikotoulas, K
Southam, L
Bragg, F
Lin, K
Chen, Z
Millwood, I
Walters, R
Lindgren, C
Sun, M
McCarthy, M
Mahajan, A
Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
title Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
title_full Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
title_fullStr Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
title_full_unstemmed Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
title_short Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
title_sort genetic drivers of heterogeneity in type 2 diabetes pathophysiology
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