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Shared genetics and bidirectional causal relationships between type 2 diabetes and attention-deficit/hyperactivity disorder
BACKGROUND: Type 2 diabetes (T2D) is a chronic metabolic disorder with high comorbidity with mental disorders. The genetic links between attention-deficit/hyperactivity disorder (ADHD) and T2D have yet to be elucidated. AIMS: We aim to assess shared genetics and potential associations between ADHD a...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016243/ https://www.ncbi.nlm.nih.gov/pubmed/36937092 http://dx.doi.org/10.1136/gpsych-2022-100996 |
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author | Baranova, Ancha Chandhoke, Vikas Cao, Hongbao Zhang, Fuquan |
author_facet | Baranova, Ancha Chandhoke, Vikas Cao, Hongbao Zhang, Fuquan |
author_sort | Baranova, Ancha |
collection | PubMed |
description | BACKGROUND: Type 2 diabetes (T2D) is a chronic metabolic disorder with high comorbidity with mental disorders. The genetic links between attention-deficit/hyperactivity disorder (ADHD) and T2D have yet to be elucidated. AIMS: We aim to assess shared genetics and potential associations between ADHD and T2D. METHODS: We performed genetic correlation, two-sample Mendelian randomisation and polygenic overlap analyses between ADHD and T2D. The genome-wide association study (GWAS) summary results of T2D (80 154 cases and 853 816 controls), ADHD2019 (20 183 cases and 35 191 controls from the 2019 GWAS ADHD dataset) and ADHD2022 (38 691 cases and 275 986 controls from the 2022 GWAS ADHD dataset) were used for the analyses. The T2D dataset was obtained from the DIAGRAM Consortium. The ADHD datasets were obtained from the Psychiatric Genomics Consortium. We compared genome-wide association signals to reveal shared genetic variation between T2D and ADHD using the larger ADHD2022 dataset. Moreover, molecular pathways were constructed based on large-scale literature data to understand the connection between ADHD and T2D. RESULTS: T2D has positive genetic correlations with ADHD2019 (r(g)=0.33) and ADHD2022 (r(g)=0.31). Genetic liability to ADHD2019 was associated with an increased risk for T2D (odds ratio (OR): 1.30, p<0.001), while genetic liability to ADHD2022 had a suggestive causal effect on T2D (OR: 1.30, p=0.086). Genetic liability to T2D was associated with a higher risk for ADHD2019 (OR: 1.05, p=0.001) and ADHD2022 (OR: 1.03, p<0.001). The polygenic overlap analysis showed that most causal variants of T2D are shared with ADHD2022. T2D and ADHD2022 have three overlapping loci. Molecular pathway analysis suggests that ADHD and T2D could promote the risk of each other through inflammatory pathways. CONCLUSIONS: Our study demonstrates substantial shared genetics and bidirectional causal associations between ADHD and T2D. |
format | Online Article Text |
id | pubmed-10016243 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-100162432023-03-16 Shared genetics and bidirectional causal relationships between type 2 diabetes and attention-deficit/hyperactivity disorder Baranova, Ancha Chandhoke, Vikas Cao, Hongbao Zhang, Fuquan Gen Psychiatr Original Research BACKGROUND: Type 2 diabetes (T2D) is a chronic metabolic disorder with high comorbidity with mental disorders. The genetic links between attention-deficit/hyperactivity disorder (ADHD) and T2D have yet to be elucidated. AIMS: We aim to assess shared genetics and potential associations between ADHD and T2D. METHODS: We performed genetic correlation, two-sample Mendelian randomisation and polygenic overlap analyses between ADHD and T2D. The genome-wide association study (GWAS) summary results of T2D (80 154 cases and 853 816 controls), ADHD2019 (20 183 cases and 35 191 controls from the 2019 GWAS ADHD dataset) and ADHD2022 (38 691 cases and 275 986 controls from the 2022 GWAS ADHD dataset) were used for the analyses. The T2D dataset was obtained from the DIAGRAM Consortium. The ADHD datasets were obtained from the Psychiatric Genomics Consortium. We compared genome-wide association signals to reveal shared genetic variation between T2D and ADHD using the larger ADHD2022 dataset. Moreover, molecular pathways were constructed based on large-scale literature data to understand the connection between ADHD and T2D. RESULTS: T2D has positive genetic correlations with ADHD2019 (r(g)=0.33) and ADHD2022 (r(g)=0.31). Genetic liability to ADHD2019 was associated with an increased risk for T2D (odds ratio (OR): 1.30, p<0.001), while genetic liability to ADHD2022 had a suggestive causal effect on T2D (OR: 1.30, p=0.086). Genetic liability to T2D was associated with a higher risk for ADHD2019 (OR: 1.05, p=0.001) and ADHD2022 (OR: 1.03, p<0.001). The polygenic overlap analysis showed that most causal variants of T2D are shared with ADHD2022. T2D and ADHD2022 have three overlapping loci. Molecular pathway analysis suggests that ADHD and T2D could promote the risk of each other through inflammatory pathways. CONCLUSIONS: Our study demonstrates substantial shared genetics and bidirectional causal associations between ADHD and T2D. BMJ Publishing Group 2023-03-13 /pmc/articles/PMC10016243/ /pubmed/36937092 http://dx.doi.org/10.1136/gpsych-2022-100996 Text en © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) . |
spellingShingle | Original Research Baranova, Ancha Chandhoke, Vikas Cao, Hongbao Zhang, Fuquan Shared genetics and bidirectional causal relationships between type 2 diabetes and attention-deficit/hyperactivity disorder |
title | Shared genetics and bidirectional causal relationships between type 2 diabetes and attention-deficit/hyperactivity disorder |
title_full | Shared genetics and bidirectional causal relationships between type 2 diabetes and attention-deficit/hyperactivity disorder |
title_fullStr | Shared genetics and bidirectional causal relationships between type 2 diabetes and attention-deficit/hyperactivity disorder |
title_full_unstemmed | Shared genetics and bidirectional causal relationships between type 2 diabetes and attention-deficit/hyperactivity disorder |
title_short | Shared genetics and bidirectional causal relationships between type 2 diabetes and attention-deficit/hyperactivity disorder |
title_sort | shared genetics and bidirectional causal relationships between type 2 diabetes and attention-deficit/hyperactivity disorder |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016243/ https://www.ncbi.nlm.nih.gov/pubmed/36937092 http://dx.doi.org/10.1136/gpsych-2022-100996 |
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