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Exploring Lead loci shared between schizophrenia and Cardiometabolic traits

Individuals with schizophrenia (SCZ) have, on average, a 10- to 20-year shorter expected life span than the rest of the population, primarily due to cardiovascular disease comorbidity. Genome-wide association studies (GWAS) have previously been used to separately identify common variants in SCZ and...

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Autores principales: He, Qian, Bennett, Adam N., Liu, Jundong, Fan, Beifang, Han, Xue, Cheng, Lu, Chen, Yan, Yang, Xia, Chan, Kei Hang Katie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414090/
https://www.ncbi.nlm.nih.gov/pubmed/36008755
http://dx.doi.org/10.1186/s12864-022-08766-4
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author He, Qian
Bennett, Adam N.
Liu, Jundong
Fan, Beifang
Han, Xue
Cheng, Lu
Chen, Yan
Yang, Xia
Chan, Kei Hang Katie
author_facet He, Qian
Bennett, Adam N.
Liu, Jundong
Fan, Beifang
Han, Xue
Cheng, Lu
Chen, Yan
Yang, Xia
Chan, Kei Hang Katie
author_sort He, Qian
collection PubMed
description Individuals with schizophrenia (SCZ) have, on average, a 10- to 20-year shorter expected life span than the rest of the population, primarily due to cardiovascular disease comorbidity. Genome-wide association studies (GWAS) have previously been used to separately identify common variants in SCZ and cardiometabolic traits. However, genetic variants jointly influencing both traits remain to be fully characterised. To assess overlaps (if any) between the genetic architecture of SCZ and cardiometabolic traits, we used conditional false discovery rate (FDR) and local genetic correlation statistical framework analyses. A conjunctional FDR was used to identify shared genetic traits between SCZ and cardiometabolic risk factors. We identified 144 genetic variants which were shared between SCZ and body mass index (BMI), and 15 variants shared between SCZ and triglycerides (TG). Furthermore, we discovered four novel single nucleotide polymorphisms (SNPs) (rs3865350, rs9860913, rs13307 and rs9614186) and four proximate genes (DERL2, SNX4, LY75 and EFCAB6) which were shared by SCZ and BMI. We observed that the novel genetic variant rs13307 and the most proximate gene LY75 exerted potential effects on SCZ and BMI comorbidity. Also, we observed a mixture of concordant and opposite direction associations with shared genetic variants. We demonstrated a moderate to high genetic overlap between SCZ and cardiometabolic traits associated with a pattern of bidirectional associations. Our data suggested a complex interplay between metabolism-related gene pathways in SCZ pathophysiology. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08766-4.
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spelling pubmed-94140902022-08-27 Exploring Lead loci shared between schizophrenia and Cardiometabolic traits He, Qian Bennett, Adam N. Liu, Jundong Fan, Beifang Han, Xue Cheng, Lu Chen, Yan Yang, Xia Chan, Kei Hang Katie BMC Genomics Research Individuals with schizophrenia (SCZ) have, on average, a 10- to 20-year shorter expected life span than the rest of the population, primarily due to cardiovascular disease comorbidity. Genome-wide association studies (GWAS) have previously been used to separately identify common variants in SCZ and cardiometabolic traits. However, genetic variants jointly influencing both traits remain to be fully characterised. To assess overlaps (if any) between the genetic architecture of SCZ and cardiometabolic traits, we used conditional false discovery rate (FDR) and local genetic correlation statistical framework analyses. A conjunctional FDR was used to identify shared genetic traits between SCZ and cardiometabolic risk factors. We identified 144 genetic variants which were shared between SCZ and body mass index (BMI), and 15 variants shared between SCZ and triglycerides (TG). Furthermore, we discovered four novel single nucleotide polymorphisms (SNPs) (rs3865350, rs9860913, rs13307 and rs9614186) and four proximate genes (DERL2, SNX4, LY75 and EFCAB6) which were shared by SCZ and BMI. We observed that the novel genetic variant rs13307 and the most proximate gene LY75 exerted potential effects on SCZ and BMI comorbidity. Also, we observed a mixture of concordant and opposite direction associations with shared genetic variants. We demonstrated a moderate to high genetic overlap between SCZ and cardiometabolic traits associated with a pattern of bidirectional associations. Our data suggested a complex interplay between metabolism-related gene pathways in SCZ pathophysiology. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08766-4. BioMed Central 2022-08-25 /pmc/articles/PMC9414090/ /pubmed/36008755 http://dx.doi.org/10.1186/s12864-022-08766-4 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
He, Qian
Bennett, Adam N.
Liu, Jundong
Fan, Beifang
Han, Xue
Cheng, Lu
Chen, Yan
Yang, Xia
Chan, Kei Hang Katie
Exploring Lead loci shared between schizophrenia and Cardiometabolic traits
title Exploring Lead loci shared between schizophrenia and Cardiometabolic traits
title_full Exploring Lead loci shared between schizophrenia and Cardiometabolic traits
title_fullStr Exploring Lead loci shared between schizophrenia and Cardiometabolic traits
title_full_unstemmed Exploring Lead loci shared between schizophrenia and Cardiometabolic traits
title_short Exploring Lead loci shared between schizophrenia and Cardiometabolic traits
title_sort exploring lead loci shared between schizophrenia and cardiometabolic traits
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414090/
https://www.ncbi.nlm.nih.gov/pubmed/36008755
http://dx.doi.org/10.1186/s12864-022-08766-4
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