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

转录组 全基因组关联研究 肾细胞癌 计算生物学 基因 生物 肾透明细胞癌 肾癌 癌症 遗传学 单核苷酸多态性 医学 肿瘤科 基因表达 基因型
作者
Diptavo Dutta,Xinyu Guo,Timothy Winter,Om Jahagirdar,Mark P. Purdue,Diptavo Dutta,Mitchell J. Machiela,Bryan R. Gorman,Timothy Winter,Dayne Okuhara,Sara Cleland,Aida Ferreiro-Iglesias,Paul Scheet,Aoxing Liu,Chao Wu,Samuel O. Antwi,James Larkin,Stênio de Cássio Zéqui,Maxine Sun,Keiko Hikino,Ali Hajiran,Keith A. Lawson,Flávio M. Cárcano,Odile Blanchet,Brian Shuch,Kenneth G. Nepple,G. Margue,Debasish Sundi,W. Ryan Diver,Maria Aparecida Azevedo Koike Folgueira,Adrie van Bokhoven,Florencia Neffa,Kevin M. Brown,Jonathan N. Hofmann,Jongeun Rhee,Meredith Yeager,Nathan R. Cole,Belynda Hicks,Michelle R. Manning,Amy Hutchinson,N. Rothman,Wen‐Yi Huang,W. Marston Linehan,Adriana Lori,Matthieu Ferragu,Merzouka Zidane-Marinnes,Sérgio Serrano,Wesley Justino Magnabosco,BioBank Japan Project Consortium,Ana Vilas,Ricardo Decia,Florencia Carusso,Laura Graham,Kyra Anderson,Mehmet Asım Bilen,Cletus Arciero,Isabelle Pellegrin,Solène Ricard,FinnGen,Ghislaine Scélo,Rosamonde E. Banks,Naveen S. Vasudev,Naeem Soomro,Grant D. Stewart,Adebanji Adeyoju,Stephen Bromage,David Hrouda,Norma Gibbons,Poulam M. Patel,Mark Sullivan,Andrew Protheroe,Francesca I. Nugent,Michelle J. Fournier,Xiaoyu Zhang,Lisa Martin,Maria Komisarenko,Timothy Eisen,Sonia Cunningham,Denise C. Connolly,Robert G. Uzzo,Давид Заридзе,Anush Mukeria,Ivana Holcátová,Anna Horňáková,Lenka Foretová,Vladimir Janout,Dana Mates,Viorel Jinga,Ștefan Rascu,Mirjana Mijušković,Slaviša Savić,Saša Milosavljević,Valérie Gaborieau,Behnoush Abedi‐Ardekani,James D. McKay,Mattias Johansson,Larry Phouthavongsy,L. Anne Hayman,Jason Li,Ilinca Lungu,Stephania Martins Bezerra,Aline G. de Souza,Cláudia Tarcila Gomes Sares,Rodolfo Borges dos Reis,Fábio Pescarmona Gallucci,Maurício Cordeiro,Mark M. Pomerantz,Gwo‐Shu M. Lee,Matthew L. Freedman,Anhyo Jeong,Samantha Greenberg,Alejandro Sanchez,R. Houston Thompson,Vidit Sharma,David D. Thiel,Colleen T. Ball,Diego Abreu,Elaine T. Lam,William Carlos Nahas,Viraj A. Master,Alpa V. Patel,Jean‐Christophe Bernhard,Neal D. Freedman,P. Bigot,Rui Manuel Reis,Leandro M. Colli,Antonio Finelli,Brandon J. Manley,Chikashi Terao,Toni K. Choueiri,Dirce Maria Carraro,Richard S. Houlston,Jeanette E. Eckel‐Passow,Philip H. Abbosh,Andrea Ganna,Paul Brennan,Jian Gu,Stephen J. Chanock,Eunji Ha,Katalin Suszták,Mitchell J. Machiela,Stephen J. Chanock,Mark P. Purdue
出处
期刊:American Journal of Human Genetics [Elsevier]
卷期号:111 (9): 1864-1876
标识
DOI:10.1016/j.ajhg.2024.07.012
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.
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