Your browser doesn't support javascript.
loading
Inferring the genetic relationship between brain imaging-derived phenotypes and risk of complex diseases by Mendelian randomization and genome-wide colocalization.
Lin, Siying; Zhang, Haoyang; Qi, Mengling; Cooper, David N; Yang, Yuedong; Yang, Yuanhao; Zhao, Huiying.
Afiliação
  • Lin S; Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China; School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou 510006, China.
  • Zhang H; School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou 510006, China.
  • Qi M; Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China.
  • Cooper DN; Institute of Medical Genetics, School of Medicine, Cardiff University, Heath Park, Cardiff CF14 4XN, United Kingdom.
  • Yang Y; School of Computer Science and Engineering, Sun Yat-Sen University, Guangzhou 510006, China. Electronic address: yangyd25@mail.sysu.edu.cn.
  • Yang Y; Mater Research Institute, The University of Queensland, Brisbane, QLD, Australia. Electronic address: yuanhao.yang@mater.uq.edu.au.
  • Zhao H; Department of Medical Research Center, Sun Yat-Sen Memorial Hospital, Sun Yat-Sen University, Guangzhou 510120, China. Electronic address: zhaohy8@mail.sysu.edu.cn.
Neuroimage ; 279: 120325, 2023 10 01.
Article em En | MEDLINE | ID: mdl-37579999
ABSTRACT
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.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encefalopatias / Doenças Cardiovasculares / Transtorno Depressivo Maior / Transtorno do Espectro Autista / Esclerose Lateral Amiotrófica / Hipertensão Tipo de estudo: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Revista: Neuroimage Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encefalopatias / Doenças Cardiovasculares / Transtorno Depressivo Maior / Transtorno do Espectro Autista / Esclerose Lateral Amiotrófica / Hipertensão Tipo de estudo: Clinical_trials / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limite: Humans Idioma: En Revista: Neuroimage Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China