Multi-omics integration analysis identifies novel genes for alcoholism with potential overlap with neurodegenerative diseases

被引:0
|
作者
Manav Kapoor
Michael J. Chao
Emma C. Johnson
Gloriia Novikova
Dongbing Lai
Jacquelyn L. Meyers
Jessica Schulman
John I. Nurnberger
Bernice Porjesz
Yunlong Liu
Tatiana Foroud
Howard J. Edenberg
Edoardo Marcora
Arpana Agrawal
Alison Goate
机构
[1] Icahn School of Medicine at Mount Sinai,Departments of Genetics and Genomic Sciences and Neuroscience
[2] Washington University School of Medicine,Department of Psychiatry
[3] Indiana University School of Medicine,Department of Medical and Molecular Genetics
[4] State University of New York,Department of Psychiatry
[5] Downstate Medical Center,Department of Psychiatry
[6] Indiana University School of Medicine,Department of Biochemistry and Molecular Biology
[7] Indiana University School of Medicine,Department of Psychiatry
[8] University of Connecticut,Department of Psychiatry
[9] University of Iowa,Department of Psychiatry
[10] Washington University in St. Louis,Department of Psychiatry
[11] University of California at San Diego,Department of Genetics
[12] Rutgers University,Department of Cell Biology and Neuroscience
[13] Rutgers University,Department of Biomedical and health Informatics
[14] University of Pennsylvania,Department of Psychology
[15] Virginia Commonwealth University,Department of Neuroscience
[16] Icahn School of Medicine at Mount Sinai,undefined
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Identification of causal variants and genes underlying genome-wide association study (GWAS) loci is essential to understand the biology of alcohol use disorder (AUD) and drinks per week (DPW). Multi-omics integration approaches have shown potential for fine mapping complex loci to obtain biological insights to disease mechanisms. In this study, we use multi-omics approaches, to fine-map AUD and DPW associations at single SNP resolution to demonstrate that rs56030824 on chromosome 11 significantly reduces SPI1 mRNA expression in myeloid cells and lowers risk for AUD and DPW. Our analysis also identifies MAPT as a candidate causal gene specifically associated with DPW. Genes prioritized in this study show overlap with causal genes associated with neurodegenerative disorders. Multi-omics integration analyses highlight, genetic similarities and differences between alcohol intake and disordered drinking, suggesting molecular heterogeneity that might inform future targeted functional and cross-species studies.
引用
收藏
相关论文
共 50 条
  • [1] Multi-omics integration analysis identifies novel genes for alcoholism with potential overlap with neurodegenerative diseases
    Kapoor, Manav
    Chao, Michael
    Johnson, Emma C.
    Novikova, Gloriia
    Lai, Dongbing
    Meyers, Jacquelyn
    Schulman, Jessica
    Nurnberger, John I. Jr Jr
    Porjesz, Bernice
    Liu, Yunlong
    Foroud, Tatiana
    Edenberg, Howard J.
    Marcora, Edoardo
    Agrawal, Arpana
    Goate, Alison
    NATURE COMMUNICATIONS, 2021, 12 (01)
  • [2] Placental multi-omics integration identifies candidate functional genes for birthweight
    Tekola-Ayele, Fasil
    Zeng, Xuehuo
    Chatterjee, Suvo
    Ouidir, Marion
    Lesseur, Corina
    Hao, Ke
    Chen, Jia
    Tesfaye, Markos
    Marsit, Carmen J.
    Workalemahu, Tsegaselassie
    Wapner, Ronald
    NATURE COMMUNICATIONS, 2022, 13 (01)
  • [3] Placental multi-omics integration identifies candidate functional genes for birthweight
    Fasil Tekola-Ayele
    Xuehuo Zeng
    Suvo Chatterjee
    Marion Ouidir
    Corina Lesseur
    Ke Hao
    Jia Chen
    Markos Tesfaye
    Carmen J. Marsit
    Tsegaselassie Workalemahu
    Ronald Wapner
    Nature Communications, 13
  • [4] MULTI-OMICS INTEGRATION IDENTIFIES GENES INFLUENCING TRAITS ASSOCIATED WITH CARDIOVASCULAR RISKS
    Acharya, Sandeep
    Liao, Shu
    Jung, Woo Seok
    Kang, Edward
    Moghaddam, Vaha Akbary
    Feitosa, Mary
    Province, Michael
    Brent, Michael
    INNOVATION IN AGING, 2023, 7 : 1084 - 1084
  • [5] Multi-omics integration analysis identifies pathogenic candidate genes of congenital heart defects with vascular malformation
    Ding, X. W.
    Huang, J. X.
    Chen, Y. H.
    Li, Z. Y.
    Wu, Y. Z.
    Qian, Z. L.
    Feng, W. Q.
    Li, Y. R.
    Zhao, L. D.
    Zhao, P. J.
    Lu, Y. N.
    Yu, Y.
    EUROPEAN HEART JOURNAL, 2024, 45
  • [6] Multi-omics analysis identifies novels genes involved in glioma prognosis
    Li, Yingjie
    Sun, Hong
    SCIENTIFIC REPORTS, 2025, 15 (01):
  • [7] Survey on Multi-omics, and Multi-omics Data Analysis, Integration and Application
    Shahrajabian, Mohamad Hesam
    Sun, Wenli
    CURRENT PHARMACEUTICAL ANALYSIS, 2023, 19 (04) : 267 - 281
  • [8] Integration of artificial intelligence and multi-omics in kidney diseases
    Zhou, Xu-Jie
    Zhong, Xu-Hui
    Duan, Li-Xin
    FUNDAMENTAL RESEARCH, 2023, 3 (01): : 126 - 148
  • [9] Multi-omics integration analysis of GPCRs in pan-cancer to uncover inter-omics relationships and potential driver genes
    Li, Shiqi
    Chen, Xin
    Chen, Jianfang
    Wu, Binjian
    Liu, Jing
    Guo, Yanzhi
    Li, Menglong
    Pu, Xuemei
    COMPUTERS IN BIOLOGY AND MEDICINE, 2023, 161
  • [10] Network Analysis of Multi-omics Data Identifies Shared Genes and Pathways Underlying the Risk of Allergic Diseases and IgE Production
    Eranti, Pradeep
    Vernet, Raphael
    Bouzigon, Emmanuelle
    Demenais, Florence
    GENETIC EPIDEMIOLOGY, 2022, 46 (07) : 491 - 491