Identifying novel proteins underlying loneliness by integrating GWAS summary data with human brain proteomes

被引:6
|
作者
Gu, Xiaojing [1 ,2 ,3 ,4 ,5 ]
Dou, Meng [6 ]
Yuan, Minlan [1 ,2 ,3 ]
Zhang, Wei [1 ,2 ,3 ,4 ,5 ]
机构
[1] Sichuan Univ, Mental Hlth Ctr, Chengdu, Peoples R China
[2] Sichuan Univ, Psychiat Lab, State Key Lab Biotherapy, West China Hosp, Chengdu, Peoples R China
[3] Sichuan Univ, Huaxi Brain Res Ctr, West China Hosp, Chengdu, Peoples R China
[4] Sichuan Univ, West China Hosp, West China Biomed Big Data Ctr, Chengdu, Peoples R China
[5] Sichuan Univ, Med Big Data Ctr, Chengdu, Peoples R China
[6] Chinese Acad Sci, Chengdu Inst Comp applicat, Chengdu, Sichuan, Peoples R China
基金
中国国家自然科学基金;
关键词
GENOME-WIDE ASSOCIATION; SOCIAL RELATIONSHIPS; PREFRONTAL CORTEX; GENE-EXPRESSION; GABA; ADULTS; HEALTH; SCALE; RISK;
D O I
10.1038/s41386-023-01536-0
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Enduring loneliness is associated with mental disorders and physical diseases. Although genome-wide association studies (GWAS) have identified risk loci associated with loneliness, how these loci confer the risk remains largely unknown. In the current study, we aimed to investigate key proteins underlying loneliness in the brain by integrating human brain proteomes and transcriptomes with loneliness GWAS to perform a discovery proteome-wide association study (PWAS), followed by a confirmatory PWAS, transcriptome-wide association analysis (TWAS), Mendelian randomization (MR), Steigering filtering analysis and Bayesian colocalization analysis. Moreover, given the fact that loneliness is associated with mental disorders, we explored the shared genetic architecture between loneliness and mental disorders. Totally, we identified 18 genes to be associated with loneliness via their cis-regulated brain protein abundance. Eleven of the 18 genes (61.1%) were replicated in the confirmatory PWAS, and mRNA levels of 4 genes were further validated to be associated with loneliness.MR and genetic colocalization analysis further confirmed that the increased protein abundance of ALDH2 and ICA1L was protective against loneliness, while the increased protein abundance of GPX1 was a risk for developing loneliness. Furthermore, we found genetic correlations, bidirectional causal associations and overlapping phenotype-associated protein profiles between loneliness and mental disorders including major depression and schizophrenia. In summary, our findings provided clues about the brain-related molecular basis underlying loneliness, which warrants further investigation.
引用
收藏
页码:1087 / 1097
页数:11
相关论文
共 50 条
  • [31] INTEGRATING HUMAN BRAIN PROTEOMES WITH GENOME-WIDE ASSOCIATION RESULTS IDENTIFIES NEW BRAIN PROTEINS FOR ALCOHOL AND OTHER SUBSTANCE USE TRAITS
    Toikumo, S.
    Xu, H.
    Hartwell, E. E.
    Kember, R. L.
    Kranzler, H. R.
    ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCH, 2022, 46 : 70A - 70A
  • [32] Integrating GWAS and proteome data to identify novel drug targets for MU
    Yadong Wu
    Jukun Song
    Manyi Liu
    Hong Ma
    Junmei Zhang
    Scientific Reports, 13
  • [33] Integrating GWAS and proteome data to identify novel drug targets for MU
    Wu, Yadong
    Song, Jukun
    Liu, Manyi
    Ma, Hong
    Zhang, Junmei
    SCIENTIFIC REPORTS, 2023, 13 (01)
  • [34] Integrating eQTL data with GWAS summary statistics in pathway-based analysis with application to schizophrenia
    Wu, Chong
    Pan, Wei
    GENETIC EPIDEMIOLOGY, 2018, 42 (03) : 303 - 316
  • [35] Identifying potential drug targets for varicose veins through integration of GWAS and eQTL summary data
    Cui, Yu
    Hu, Mengting
    Zhou, He
    Guo, Jiarui
    Wang, Qijia
    Xu, Zaihua
    Chen, Liyun
    Zhang, Wancong
    Tang, Shijie
    FRONTIERS IN GENETICS, 2024, 15
  • [36] A novel algorithm for identifying essential proteins by integrating subcellular localization
    Fan, Yetian
    Hu, Xiaohua
    Tang, Xiwei
    Ping, Qing
    Wu, Wei
    2016 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM), 2016, : 107 - 110
  • [37] Integrating human brain proteomic data with genome-wide association study findings identifies novel brain proteins in substance use traits
    Sylvanus Toikumo
    Heng Xu
    Joel Gelernter
    Rachel L. Kember
    Henry R. Kranzler
    Neuropsychopharmacology, 2022, 47 : 2292 - 2299
  • [38] Integrating human brain proteomic data with genome-wide association study findings identifies novel brain proteins in substance use traits
    Toikumo, Sylvanus
    Xu, Heng
    Gelernter, Joel
    Kember, Rachel L.
    Kranzler, Henry R.
    NEUROPSYCHOPHARMACOLOGY, 2022, 47 (13) : 2292 - 2299
  • [39] Integrating eQTL and GWAS data characterises established and identifies novel migraine risk loci
    Ghaffar, Ammarah R.
    Nyholt, Dale
    HUMAN GENETICS, 2023, 142 (08) : 1113 - 1137
  • [40] Integrating eQTL and GWAS data characterises established and identifies novel migraine risk loci
    Ammarah Ghaffar
    Dale R. Nyholt
    Human Genetics, 2023, 142 : 1113 - 1137