Transcriptome- and proteome-wide association studies identify genes associated with renal cell carcinoma

被引:1
|
作者
Dutta, Diptavo [2 ]
Guo, Xinyu [1 ]
Winter, Timothy D. [3 ]
Jahagirdar, Om [2 ]
Ha, Eunji [4 ]
Susztak, Katalin [4 ]
Machiela, Mitchell J. [2 ]
Chanock, Stephen J. [3 ]
Purdue, Mark P. [5 ]
机构
[1] Univ Southern Calif, Dept Quantitat & Computat Biol, Los Angeles, CA USA
[2] NCI, Integrat Tumor Epidemiol Branch, Div Canc Epidemiol & Genet, Rockville, MD 20850 USA
[3] NCI, Lab Genet Susceptibil, Div Canc Epidemiol & Genet, Rockville, MD USA
[4] Univ Penn, Perelman Sch Med, Delphia, PA USA
[5] NCI, Occupat & Environm Epidemiol Branch, Div Canc Epidemiol & Genet, Rockville, MD 20850 USA
基金
美国国家卫生研究院;
关键词
RISK; CAUCHY; ATLAS;
D O I
10.1016/j.ajhg.2024.07.012
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
We performed a series of integrative analyses including transcriptome-wide association studies (TWASs) and proteome-wide association studies (PWASs) of renal cell carcinoma (RCC) to nominate and prioritize molecular targets for laboratory investigation. On the basis of a genome-wide association study (GWAS) of 29,020 affected individuals and 835,670 control individuals and prediction models trained in transcriptomic reference models, our TWAS across four kidney transcriptomes (GTEx kidney cortex, kidney tubules, TCGA-KIRC [The Cancer Genome Atlas kidney renal clear-cell carcinoma], and TCGA-KIRP [TCGA kidney renal papillary cell carcinoma]) identified 38 gene associations (false-discovery rate <5%) in at least two of four transcriptomic panels and identified 12 genes that were independent of GWAS susceptibility regions. Analyses combining TWAS associations across 48 tissues from GTEx identified associations that were replicable in tumor transcriptomes for 23 additional genes. Analyses by the two major histologic types (clear-cell RCC and papillary RCC) revealed subtype-specific associations, although at least three gene associations were common to both subtypes. PWAS identified 13 associated proteins, all mapping to GWAS-significant loci. TWAS-identified genes were enriched for active enhancer or promoter regions in RCC tumors and hypoxia-inducible factor binding sites in relevant cell lines. Using gene expression correlation, common cancers (breast and prostate) and RCC risk factors (e.g., hypertension and BMI) display genetic contributions shared with RCC. Our work identifies potential molecular targets for RCC susceptibility for downstream functional investigation.
引用
收藏
页数:14
相关论文
共 50 条
  • [31] PWAS: proteome-wide association study-linking genes and phenotypes by functional variation in proteins
    Brandes, Nadav
    Linial, Nathan
    Linial, Michal
    GENOME BIOLOGY, 2020, 21 (01)
  • [32] Genome-wide association and transcriptome studies identify target genes and risk loci for breast cancer
    Ferreira, Manuel A.
    Gamazon, Eric R.
    Al-Ejeh, Fares
    Aittomaki, Kristiina
    Andrulis, Irene L.
    Anton-Culver, Hoda
    Arason, Adalgeir
    Arndt, Volker
    Aronson, Kristan J.
    Arun, Banu K.
    Asseryanis, Ella
    Azzollini, Jacopo
    Balmana, Judith
    Barnes, Daniel R.
    Barrowdale, Daniel
    Beckmann, Matthias W.
    Behrens, Sabine
    Benitez, Javier
    Bermisheva, Marina
    Bialkowska, Katarzyna
    Blomqvist, Carl
    Bogdanova, Natalia, V
    Bojesen, Stig E.
    Bolla, Manjeet K.
    Borg, Ake
    Brauch, Hiltrud
    Brenner, Hermann
    Broeks, Annegien
    Burwinkel, Barbara
    Caldes, Trinidad
    Caligo, Maria A.
    Campa, Daniele
    Campbell, Ian
    Canzian, Federico
    Carter, Jonathan
    Carter, Brian D.
    Castelao, Jose E.
    Chang-Claude, Jenny
    Chanock, Stephen J.
    Christiansen, Hans
    Chung, Wendy K.
    Claes, Kathleen B. M.
    Clarke, Christine L.
    Couch, Fergus J.
    Cox, Angela
    Cross, Simon S.
    Czene, Kamila
    Daly, Mary B.
    de la Hoya, Miguel
    Dennis, Joe
    NATURE COMMUNICATIONS, 2019, 10 (1)
  • [33] Transcriptome-Wide Association Studies and Integration Analysis of mRNA Expression Profiles Identify Candidate Genes and Pathways Associated With Ankylosing Spondylitis
    Feng, Ruoyang
    Lu, Mengnan
    Liu, Lin
    Xu, Ke
    Xu, Peng
    FRONTIERS IN IMMUNOLOGY, 2022, 13
  • [34] Integrative transcriptome and proteome analyses of clear cell renal cell carcinoma develop a prognostic classifier associated with thrombus
    Xiaolei Shi
    Qingyang Pang
    Xinwen Nian
    Aimin Jiang
    Haoqing Shi
    Wenqiang Liu
    Xinxin Gan
    Yisha Gao
    Yiren Yang
    Jin Ji
    Xiaojie Tan
    Chengwu Xiao
    Wei Zhang
    Scientific Reports, 13 (1)
  • [35] Integrative transcriptome and proteome analyses of clear cell renal cell carcinoma develop a prognostic classifier associated with thrombus
    Shi, Xiaolei
    Pang, Qingyang
    Nian, Xinwen
    Jiang, Aimin
    Shi, Haoqing
    Liu, Wenqiang
    Gan, Xinxin
    Gao, Yisha
    Yang, Yiren
    Ji, Jin
    Tan, Xiaojie
    Xiao, Chengwu
    Zhang, Wei
    SCIENTIFIC REPORTS, 2023, 13 (01):
  • [36] Understanding genetic architecture of breast cancer: how can proteome-wide association studies contribute?
    Sun, Yijia
    Huo, Dezheng
    BRITISH JOURNAL OF CANCER, 2024, 131 (12) : 1869 - 1870
  • [37] Brain Proteome-Wide and Transcriptome-Wide Asso-ciation Studies, Bayesian Colocalization, and Mendelian Randomization Analyses Reveal Causal Genes of Parkinson's Disease
    Zhou, Siquan
    Tian, Ye
    Song, Xuejiao
    Xiong, Jingyuan
    Cheng, Guo
    JOURNALS OF GERONTOLOGY SERIES A-BIOLOGICAL SCIENCES AND MEDICAL SCIENCES, 2023, 78 (04): : 563 - 568
  • [38] Genome-wide association and transcriptome studies identify candidate genes and pathways for feed conversion ratio in pigs
    Miao, Yuanxin
    Mei, Quanshun
    Fu, Chuanke
    Liao, Mingxing
    Liu, Yan
    Xu, Xuewen
    Li, Xinyun
    Zhao, Shuhong
    Xiang, Tao
    BMC GENOMICS, 2021, 22 (01)
  • [39] Integration of transcriptome-wide association study and messenger RNA expression profile to identify genes associated with osteoarthritis
    Qi, X.
    Yu, F.
    Wen, Y.
    Li, P.
    Cheng, B.
    Ma, M.
    Cheng, S.
    Zhang, L.
    Liang, C.
    Liu, L.
    Zhang, F.
    BONE & JOINT RESEARCH, 2020, 9 (03): : 130 - 138
  • [40] Genome-wide association and transcriptome studies identify candidate genes and pathways for feed conversion ratio in pigs
    Yuanxin Miao
    Quanshun Mei
    Chuanke Fu
    Mingxing Liao
    Yan Liu
    Xuewen Xu
    Xinyun Li
    Shuhong Zhao
    Tao Xiang
    BMC Genomics, 22