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Mendelian randomization studies of brain MRI yield insights into the pathogenesis of neuropsychiatric disorders
BACKGROUND: Observational studies have identified various associations between neuroimaging alterations and neuropsychiatric disorders. However, whether such associations could truly reflect causal relations remains still unknown. RESULTS: Here, we leveraged genome-wide association studies (GWAS) su...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8171058/ https://www.ncbi.nlm.nih.gov/pubmed/34078268 http://dx.doi.org/10.1186/s12864-021-07661-8 |
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author | Song, Weichen Qian, Wei Wang, Weidi Yu, Shunying Lin, Guan Ning |
author_facet | Song, Weichen Qian, Wei Wang, Weidi Yu, Shunying Lin, Guan Ning |
author_sort | Song, Weichen |
collection | PubMed |
description | BACKGROUND: Observational studies have identified various associations between neuroimaging alterations and neuropsychiatric disorders. However, whether such associations could truly reflect causal relations remains still unknown. RESULTS: Here, we leveraged genome-wide association studies (GWAS) summary statistics for (1) 11 psychiatric disorders (sample sizes varied from n = 9,725 to 1,331,010); (2) 110 diffusion tensor imaging (DTI) measurement (sample size n = 17,706); (3) 101 region-of-interest (ROI) volumes, and investigate the causal relationship between brain structures and neuropsychiatric disorders by two-sample Mendelian randomization. Among all DTI-Disorder combinations, we observed a significant causal association between the superior longitudinal fasciculus (SLF) and the risk of Anorexia nervosa (AN) (Odds Ratio [OR] = 0.62, 95 % confidence interval: 0.50 ~ 0.76, P = 6.4 × 10(− 6)). Similar significant associations were also observed between the body of the corpus callosum (fractional anisotropy) and Alzheimer’s disease (OR = 1.07, 95 % CI: 1.03 ~ 1.11, P = 4.1 × 10(− 5)). By combining all observations, we found that the overall p-value for DTI − Disorder associations was significantly elevated compared to the null distribution (Kolmogorov-Smirnov P = 0.009, inflation factor λ = 1.37), especially for DTI − Bipolar disorder (BP) (λ = 2.64) and DTI − AN (λ = 1.82). In contrast, for ROI-Disorder combinations, we only found a significant association between the brain region of pars triangularis and Schizophrenia (OR = 0.48, 95 % CI: 0.34 ~ 0.69, P = 5.9 × 10(− 5)) and no overall p-value elevation for ROI-Disorder analysis compared to the null expectation. CONCLUSIONS: As a whole, we show that SLF degeneration may be a risk factor for AN, while DTI variations could be causally related to some neuropsychiatric disorders, such as BP and AN. Also, the white matter structure might have a larger impact on neuropsychiatric disorders than subregion volumes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07661-8. |
format | Online Article Text |
id | pubmed-8171058 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-81710582021-06-03 Mendelian randomization studies of brain MRI yield insights into the pathogenesis of neuropsychiatric disorders Song, Weichen Qian, Wei Wang, Weidi Yu, Shunying Lin, Guan Ning BMC Genomics Research BACKGROUND: Observational studies have identified various associations between neuroimaging alterations and neuropsychiatric disorders. However, whether such associations could truly reflect causal relations remains still unknown. RESULTS: Here, we leveraged genome-wide association studies (GWAS) summary statistics for (1) 11 psychiatric disorders (sample sizes varied from n = 9,725 to 1,331,010); (2) 110 diffusion tensor imaging (DTI) measurement (sample size n = 17,706); (3) 101 region-of-interest (ROI) volumes, and investigate the causal relationship between brain structures and neuropsychiatric disorders by two-sample Mendelian randomization. Among all DTI-Disorder combinations, we observed a significant causal association between the superior longitudinal fasciculus (SLF) and the risk of Anorexia nervosa (AN) (Odds Ratio [OR] = 0.62, 95 % confidence interval: 0.50 ~ 0.76, P = 6.4 × 10(− 6)). Similar significant associations were also observed between the body of the corpus callosum (fractional anisotropy) and Alzheimer’s disease (OR = 1.07, 95 % CI: 1.03 ~ 1.11, P = 4.1 × 10(− 5)). By combining all observations, we found that the overall p-value for DTI − Disorder associations was significantly elevated compared to the null distribution (Kolmogorov-Smirnov P = 0.009, inflation factor λ = 1.37), especially for DTI − Bipolar disorder (BP) (λ = 2.64) and DTI − AN (λ = 1.82). In contrast, for ROI-Disorder combinations, we only found a significant association between the brain region of pars triangularis and Schizophrenia (OR = 0.48, 95 % CI: 0.34 ~ 0.69, P = 5.9 × 10(− 5)) and no overall p-value elevation for ROI-Disorder analysis compared to the null expectation. CONCLUSIONS: As a whole, we show that SLF degeneration may be a risk factor for AN, while DTI variations could be causally related to some neuropsychiatric disorders, such as BP and AN. Also, the white matter structure might have a larger impact on neuropsychiatric disorders than subregion volumes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-021-07661-8. BioMed Central 2021-06-02 /pmc/articles/PMC8171058/ /pubmed/34078268 http://dx.doi.org/10.1186/s12864-021-07661-8 Text en © The Author(s) 2021 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 Song, Weichen Qian, Wei Wang, Weidi Yu, Shunying Lin, Guan Ning Mendelian randomization studies of brain MRI yield insights into the pathogenesis of neuropsychiatric disorders |
title | Mendelian randomization studies of brain MRI yield insights into the pathogenesis of neuropsychiatric disorders |
title_full | Mendelian randomization studies of brain MRI yield insights into the pathogenesis of neuropsychiatric disorders |
title_fullStr | Mendelian randomization studies of brain MRI yield insights into the pathogenesis of neuropsychiatric disorders |
title_full_unstemmed | Mendelian randomization studies of brain MRI yield insights into the pathogenesis of neuropsychiatric disorders |
title_short | Mendelian randomization studies of brain MRI yield insights into the pathogenesis of neuropsychiatric disorders |
title_sort | mendelian randomization studies of brain mri yield insights into the pathogenesis of neuropsychiatric disorders |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8171058/ https://www.ncbi.nlm.nih.gov/pubmed/34078268 http://dx.doi.org/10.1186/s12864-021-07661-8 |
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