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 inNeuroImage (Orlando, Fla.) Vol. 279; p. 120325
Main Authors Lin, Siying, Zhang, Haoyang, Qi, Mengling, Cooper, David N., Yang, Yuedong, Yang, Yuanhao, Zhao, Huiying
Format Journal Article
LanguageEnglish
Published United States Elsevier Inc 01.10.2023
Elsevier Limited
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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.
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
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  organization: Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China
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ADHD
GWAS
Brain disorders
Genetic correlation
ALS
WTE
IVW
SCZ
MDD
STM
SA
TFA
INS
STR
ASD
HBP
KEGG
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CH
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MS
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PTSD
PAD
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PD
rg
Brain imaging-derived phenotypes
Cardiovascular diseases
Causal relationships
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EPI
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  ident: 10.1016/j.neuroimage.2023.120325_bib0034
  article-title: Lower regional grey matter in alcohol use disorders: evidence from a voxel-based meta-analysis
  publication-title: BMC Psychiatry
  doi: 10.1186/s12888-021-03244-9
– volume: 90
  start-page: 404
  issue: 4
  year: 2019
  ident: 10.1016/j.neuroimage.2023.120325_bib0040
  article-title: Neurite orientation and dispersion density imaging (NODDI) detects cortical and corticospinal tract degeneration in ALS
  publication-title: J. Neurol. Neurosurg. Psychiatry
  doi: 10.1136/jnnp-2018-318830
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Snippet •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...
Observational studies consistently disclose brain imaging-derived phenotypes (IDPs) as critical markers for early diagnosis of both brain disorders and...
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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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https://dx.doi.org/10.1016/j.neuroimage.2023.120325
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