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Polygenic scores of diabetes-related traits in subgroups of type 2 diabetes in India: a cohort study

BACKGROUND: A machine-learning approach identified five subgroups of diabetes in Europeans which included severe autoimmune diabetes (SAID), severe insulin-deficient diabetes (SIDD), severe insulin-resistant diabetes (SIRD), mild obesity-related diabetes (MOD) and mild age-related diabetes (MARD) wi...

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Autores principales: Yajnik, Chittaranjan S., Wagh, Rucha, Kunte, Pooja, Asplund, Olof, Ahlqvist, Emma, Bhat, Dattatrey, Shukla, Sharvari R., Prasad, Rashmi B.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363502/
https://www.ncbi.nlm.nih.gov/pubmed/37492423
http://dx.doi.org/10.1016/j.lansea.2023.100182
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author Yajnik, Chittaranjan S.
Wagh, Rucha
Kunte, Pooja
Asplund, Olof
Ahlqvist, Emma
Bhat, Dattatrey
Shukla, Sharvari R.
Prasad, Rashmi B.
author_facet Yajnik, Chittaranjan S.
Wagh, Rucha
Kunte, Pooja
Asplund, Olof
Ahlqvist, Emma
Bhat, Dattatrey
Shukla, Sharvari R.
Prasad, Rashmi B.
author_sort Yajnik, Chittaranjan S.
collection PubMed
description BACKGROUND: A machine-learning approach identified five subgroups of diabetes in Europeans which included severe autoimmune diabetes (SAID), severe insulin-deficient diabetes (SIDD), severe insulin-resistant diabetes (SIRD), mild obesity-related diabetes (MOD) and mild age-related diabetes (MARD) with partially distinct genetic aetiologies. We previously validated four of the non-autoimmune subgroups in people with young-onset type 2 diabetes (T2D) from the Indian WellGen study. Here, we aimed to apply European-derived centroids and genetic risk scores (GRSs) to the unselected (for age) WellGen to test their applicability and investigate the genetic aetiology of the Indian T2D subgroups. METHODS: We applied European derived centroids and GRSs to T2D participants of Indian ancestry (WellGen, n = 2217, 821 genotyped) and compared them with normal glucose tolerant controls (Pune Maternal Nutrition Study, n = 461). FINDINGS: SIDD was the predominant subgroup followed by MOD, whereas SIRD and MARD were less frequent. Weighted-GRS for T2D, obesity and lipid-related traits associated with T2D. We replicated some of the previous associations of GRS for T2D, insulin secretion, and BMI with SIDD and MOD. Unique to Indian subgroups was the association of GRS for (a) proinsulin with MOD and MARD, (b) liver-lipids with SIDD, SIRD and MOD, and (c) opposite effect of beta-cell GRS with SIDD and MARD, obesity GRS with MARD compared to Europeans. Genetic variants of fucosyltransferases were associated with T2D and MOD in Indians but not Europeans. INTERPRETATION: The similarities emphasise the applicability of some of the European-derived GRSs to T2D and its subgroups in India while the differences highlight the need for large-scale studies to identify aetiologies in diverse ancestries. The data provide robust evidence for genetically distinct aetiologies for the T2D subgroups and at least partly mirror those seen in Europeans. FUNDING: 10.13039/501100004359Vetenskapsrådet, Diabetes Wellness, and 10.13039/501100003793Hjärt-Lungfonden (Sweden), DST (India), 10.13039/100010269Wellcome Trust, Crafoord Foundation and 10.13039/501100006189Albert Påhlsson Foundation.
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spelling pubmed-103635022023-07-25 Polygenic scores of diabetes-related traits in subgroups of type 2 diabetes in India: a cohort study Yajnik, Chittaranjan S. Wagh, Rucha Kunte, Pooja Asplund, Olof Ahlqvist, Emma Bhat, Dattatrey Shukla, Sharvari R. Prasad, Rashmi B. Lancet Reg Health Southeast Asia Articles BACKGROUND: A machine-learning approach identified five subgroups of diabetes in Europeans which included severe autoimmune diabetes (SAID), severe insulin-deficient diabetes (SIDD), severe insulin-resistant diabetes (SIRD), mild obesity-related diabetes (MOD) and mild age-related diabetes (MARD) with partially distinct genetic aetiologies. We previously validated four of the non-autoimmune subgroups in people with young-onset type 2 diabetes (T2D) from the Indian WellGen study. Here, we aimed to apply European-derived centroids and genetic risk scores (GRSs) to the unselected (for age) WellGen to test their applicability and investigate the genetic aetiology of the Indian T2D subgroups. METHODS: We applied European derived centroids and GRSs to T2D participants of Indian ancestry (WellGen, n = 2217, 821 genotyped) and compared them with normal glucose tolerant controls (Pune Maternal Nutrition Study, n = 461). FINDINGS: SIDD was the predominant subgroup followed by MOD, whereas SIRD and MARD were less frequent. Weighted-GRS for T2D, obesity and lipid-related traits associated with T2D. We replicated some of the previous associations of GRS for T2D, insulin secretion, and BMI with SIDD and MOD. Unique to Indian subgroups was the association of GRS for (a) proinsulin with MOD and MARD, (b) liver-lipids with SIDD, SIRD and MOD, and (c) opposite effect of beta-cell GRS with SIDD and MARD, obesity GRS with MARD compared to Europeans. Genetic variants of fucosyltransferases were associated with T2D and MOD in Indians but not Europeans. INTERPRETATION: The similarities emphasise the applicability of some of the European-derived GRSs to T2D and its subgroups in India while the differences highlight the need for large-scale studies to identify aetiologies in diverse ancestries. The data provide robust evidence for genetically distinct aetiologies for the T2D subgroups and at least partly mirror those seen in Europeans. FUNDING: 10.13039/501100004359Vetenskapsrådet, Diabetes Wellness, and 10.13039/501100003793Hjärt-Lungfonden (Sweden), DST (India), 10.13039/100010269Wellcome Trust, Crafoord Foundation and 10.13039/501100006189Albert Påhlsson Foundation. Elsevier 2023-05-02 /pmc/articles/PMC10363502/ /pubmed/37492423 http://dx.doi.org/10.1016/j.lansea.2023.100182 Text en © 2023 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Articles
Yajnik, Chittaranjan S.
Wagh, Rucha
Kunte, Pooja
Asplund, Olof
Ahlqvist, Emma
Bhat, Dattatrey
Shukla, Sharvari R.
Prasad, Rashmi B.
Polygenic scores of diabetes-related traits in subgroups of type 2 diabetes in India: a cohort study
title Polygenic scores of diabetes-related traits in subgroups of type 2 diabetes in India: a cohort study
title_full Polygenic scores of diabetes-related traits in subgroups of type 2 diabetes in India: a cohort study
title_fullStr Polygenic scores of diabetes-related traits in subgroups of type 2 diabetes in India: a cohort study
title_full_unstemmed Polygenic scores of diabetes-related traits in subgroups of type 2 diabetes in India: a cohort study
title_short Polygenic scores of diabetes-related traits in subgroups of type 2 diabetes in India: a cohort study
title_sort polygenic scores of diabetes-related traits in subgroups of type 2 diabetes in india: a cohort study
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10363502/
https://www.ncbi.nlm.nih.gov/pubmed/37492423
http://dx.doi.org/10.1016/j.lansea.2023.100182
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