Inferring the genetic relationship between brain imaging-derived phenotypes and risk of complex diseases by Mendelian randomization and genome-wide colocalization
•We found the first evidence for significant putative causal effects of multiple brain region-specific IDPs on the increased risks of ALS, MDD, ASD, and SCZ.•The brain IDPs from temporal lobe were identified as a putatively causal consequence of hypertension.•We identified causal SNPs, rs853676, rs1...
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Published in | NeuroImage (Orlando, Fla.) Vol. 279; p. 120325 |
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Main Authors | , , , , , , |
Format | Journal Article |
Language | English |
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01.10.2023
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Abstract | •We found the first evidence for significant putative causal effects of multiple brain region-specific IDPs on the increased risks of ALS, MDD, ASD, and SCZ.•The brain IDPs from temporal lobe were identified as a putatively causal consequence of hypertension.•We identified causal SNPs, rs853676, rs199456 and rs7969401 to be associated with MDD, ASD, SCZ, and multiple brain IDPs.•We identified a list of candidate genes simultaneously associated with brain disorders, cardiovascular diseases and brain IDPs from multiple brain regions.
Observational studies consistently disclose brain imaging-derived phenotypes (IDPs) as critical markers for early diagnosis of both brain disorders and cardiovascular diseases. However, it remains unclear about the shared genetic landscape between brain IDPs and the risk of brain disorders and cardiovascular diseases, restricting the applications of potential diagnostic techniques through brain IDPs. Here, we reported genetic correlations and putative causal relationships between 921 brain IDPs, 20 brain disorders and six cardiovascular diseases by leveraging their large-scale genome-wide association study (GWAS) summary statistics. Applications of Mendelian randomization (MR) identified significant putative causal effects of multiple region-specific brain IDPs in relation to the increased risks for amyotrophic lateral sclerosis (ALS), major depressive disorder (MDD), autism spectrum disorder (ASD) and schizophrenia (SCZ). We also found brain IDPs specifically from temporal lobe as a putatively causal consequence of hypertension. The genome-wide colocalization analysis identified three genomic regions in which MDD, ASD and SCZ colocalized with the brain IDPs, and two novel SNPs to be associated with ASD, SCZ, and multiple brain IDPs. Furthermore, we identified a list of candidate genes involved in the shared genetics underlying pairs of brain IDPs and MDD, ASD, SCZ, ALS and hypertension. Our results provide novel insights into the genetic relationships between brain disorders and cardiovascular diseases and brain IDP, which may server as clues for using brain IDPs to predict risks of diseases. |
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AbstractList | •We found the first evidence for significant putative causal effects of multiple brain region-specific IDPs on the increased risks of ALS, MDD, ASD, and SCZ.•The brain IDPs from temporal lobe were identified as a putatively causal consequence of hypertension.•We identified causal SNPs, rs853676, rs199456 and rs7969401 to be associated with MDD, ASD, SCZ, and multiple brain IDPs.•We identified a list of candidate genes simultaneously associated with brain disorders, cardiovascular diseases and brain IDPs from multiple brain regions.
Observational studies consistently disclose brain imaging-derived phenotypes (IDPs) as critical markers for early diagnosis of both brain disorders and cardiovascular diseases. However, it remains unclear about the shared genetic landscape between brain IDPs and the risk of brain disorders and cardiovascular diseases, restricting the applications of potential diagnostic techniques through brain IDPs. Here, we reported genetic correlations and putative causal relationships between 921 brain IDPs, 20 brain disorders and six cardiovascular diseases by leveraging their large-scale genome-wide association study (GWAS) summary statistics. Applications of Mendelian randomization (MR) identified significant putative causal effects of multiple region-specific brain IDPs in relation to the increased risks for amyotrophic lateral sclerosis (ALS), major depressive disorder (MDD), autism spectrum disorder (ASD) and schizophrenia (SCZ). We also found brain IDPs specifically from temporal lobe as a putatively causal consequence of hypertension. The genome-wide colocalization analysis identified three genomic regions in which MDD, ASD and SCZ colocalized with the brain IDPs, and two novel SNPs to be associated with ASD, SCZ, and multiple brain IDPs. Furthermore, we identified a list of candidate genes involved in the shared genetics underlying pairs of brain IDPs and MDD, ASD, SCZ, ALS and hypertension. Our results provide novel insights into the genetic relationships between brain disorders and cardiovascular diseases and brain IDP, which may server as clues for using brain IDPs to predict risks of diseases. Observational studies consistently disclose brain imaging-derived phenotypes (IDPs) as critical markers for early diagnosis of both brain disorders and cardiovascular diseases. However, it remains unclear about the shared genetic landscape between brain IDPs and the risk of brain disorders and cardiovascular diseases, restricting the applications of potential diagnostic techniques through brain IDPs. Here, we reported genetic correlations and putative causal relationships between 921 brain IDPs, 20 brain disorders and six cardiovascular diseases by leveraging their large-scale genome-wide association study (GWAS) summary statistics. Applications of Mendelian randomization (MR) identified significant putative causal effects of multiple region-specific brain IDPs in relation to the increased risks for amyotrophic lateral sclerosis (ALS), major depressive disorder (MDD), autism spectrum disorder (ASD) and schizophrenia (SCZ). We also found brain IDPs specifically from temporal lobe as a putatively causal consequence of hypertension. The genome-wide colocalization analysis identified three genomic regions in which MDD, ASD and SCZ colocalized with the brain IDPs, and two novel SNPs to be associated with ASD, SCZ, and multiple brain IDPs. Furthermore, we identified a list of candidate genes involved in the shared genetics underlying pairs of brain IDPs and MDD, ASD, SCZ, ALS and hypertension. Our results provide novel insights into the genetic relationships between brain disorders and cardiovascular diseases and brain IDP, which may server as clues for using brain IDPs to predict risks of diseases. Observational studies consistently disclose brain imaging-derived phenotypes (IDPs) as critical markers for early diagnosis of both brain disorders and cardiovascular diseases. However, it remains unclear about the shared genetic landscape between brain IDPs and the risk of brain disorders and cardiovascular diseases, restricting the applications of potential diagnostic techniques through brain IDPs. Here, we reported genetic correlations and putative causal relationships between 921 brain IDPs, 20 brain disorders and six cardiovascular diseases by leveraging their large-scale genome-wide association study (GWAS) summary statistics. Applications of Mendelian randomization (MR) identified significant putative causal effects of multiple region-specific brain IDPs in relation to the increased risks for amyotrophic lateral sclerosis (ALS), major depressive disorder (MDD), autism spectrum disorder (ASD) and schizophrenia (SCZ). We also found brain IDPs specifically from temporal lobe as a putatively causal consequence of hypertension. The genome-wide colocalization analysis identified three genomic regions in which MDD, ASD and SCZ colocalized with the brain IDPs, and two novel SNPs to be associated with ASD, SCZ, and multiple brain IDPs. Furthermore, we identified a list of candidate genes involved in the shared genetics underlying pairs of brain IDPs and MDD, ASD, SCZ, ALS and hypertension. Our results provide novel insights into the genetic relationships between brain disorders and cardiovascular diseases and brain IDP, which may server as clues for using brain IDPs to predict risks of diseases.Observational studies consistently disclose brain imaging-derived phenotypes (IDPs) as critical markers for early diagnosis of both brain disorders and cardiovascular diseases. However, it remains unclear about the shared genetic landscape between brain IDPs and the risk of brain disorders and cardiovascular diseases, restricting the applications of potential diagnostic techniques through brain IDPs. Here, we reported genetic correlations and putative causal relationships between 921 brain IDPs, 20 brain disorders and six cardiovascular diseases by leveraging their large-scale genome-wide association study (GWAS) summary statistics. Applications of Mendelian randomization (MR) identified significant putative causal effects of multiple region-specific brain IDPs in relation to the increased risks for amyotrophic lateral sclerosis (ALS), major depressive disorder (MDD), autism spectrum disorder (ASD) and schizophrenia (SCZ). We also found brain IDPs specifically from temporal lobe as a putatively causal consequence of hypertension. The genome-wide colocalization analysis identified three genomic regions in which MDD, ASD and SCZ colocalized with the brain IDPs, and two novel SNPs to be associated with ASD, SCZ, and multiple brain IDPs. Furthermore, we identified a list of candidate genes involved in the shared genetics underlying pairs of brain IDPs and MDD, ASD, SCZ, ALS and hypertension. Our results provide novel insights into the genetic relationships between brain disorders and cardiovascular diseases and brain IDP, which may server as clues for using brain IDPs to predict risks of diseases. |
ArticleNumber | 120325 |
Author | Qi, Mengling Yang, Yuanhao Cooper, David N. Lin, Siying Yang, Yuedong Zhao, Huiying Zhang, Haoyang |
Author_xml | – sequence: 1 givenname: Siying orcidid: 0000-0002-5677-2128 surname: Lin fullname: Lin, Siying organization: Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China – sequence: 2 givenname: Haoyang surname: Zhang fullname: Zhang, Haoyang organization: School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou 510006, China – sequence: 3 givenname: Mengling surname: Qi fullname: Qi, Mengling organization: Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China – sequence: 4 givenname: David N. orcidid: 0000-0002-8943-8484 surname: Cooper fullname: Cooper, David N. organization: Institute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff CF14 4XN, United Kingdom – sequence: 5 givenname: Yuedong orcidid: 0000-0002-6782-2813 surname: Yang fullname: Yang, Yuedong email: yangyd25@mail.sysu.edu.cn organization: School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou 510006, China – sequence: 6 givenname: Yuanhao surname: Yang fullname: Yang, Yuanhao email: yuanhao.yang@mater.uq.edu.au organization: Mater Research Institute, The University of Queensland, Brisbane, QLD, Australia – sequence: 7 givenname: Huiying orcidid: 0000-0001-9134-536X surname: Zhao fullname: Zhao, Huiying email: zhaohy8@mail.sysu.edu.cn organization: Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China |
BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37579999$$D View this record in MEDLINE/PubMed |
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CitedBy_id | crossref_primary_10_1016_j_ecoenv_2024_116664 crossref_primary_10_1007_s00439_023_02614_5 crossref_primary_10_1016_j_ocarto_2024_100540 crossref_primary_10_1016_j_hest_2024_08_005 crossref_primary_10_1038_s41366_024_01686_1 |
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Keywords | PP ADHD GWAS Brain disorders Genetic correlation ALS WTE IVW SCZ MDD STM SA TFA INS STR ASD HBP KEGG BID MAGMA MI CA AD CH MR MS GO LDSC AN UKB AP PTSD PAD MAF PD rg Brain imaging-derived phenotypes Cardiovascular diseases Causal relationships HF NAR EPI |
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SubjectTerms | Alzheimer's disease Amyotrophic lateral sclerosis Angina pectoris Autism Biomarkers Brain disorders Brain imaging-derived phenotypes Cardiovascular disease Cardiovascular diseases Causal relationships Consortia Genetic correlation Genetic relationship Genome-wide association studies Genomes Genomic analysis Genomics Hypertension Insomnia Magnetic resonance imaging Medical imaging Mental depression Mental disorders Neuroimaging Neurological disorders Phenotypes Schizophrenia Single-nucleotide polymorphism Sleep Statistical analysis Statistics Temporal lobe |
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Title | Inferring the genetic relationship between brain imaging-derived phenotypes and risk of complex diseases by Mendelian randomization and genome-wide colocalization |
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