Differential mRNA expression between ancestry groups can be explained by both genetic and environmental factors. We outline a computational workflow to determine the extent to which germline genetic variation explains cancer-specific molecular differences across ancestry groups. Using multi-omics datasets from The Cancer Genome Atlas (TCGA), we enumerate ancestry-informative markers colocalized with cancer-type-specific expression quantitative trait loci (e-QTLs) at ancestry-associated genes. This approach is generalizable to other settings with paired germline genotyping and mRNA expression data for a multi-ethnic cohort. For complete details on the use and execution of this protocol, please refer to Carrot-Zhang et al. (2020), Robertson et al. (2021), and Sayaman et al. (2021).

Analysis of germline-driven ancestry-associated gene expression in cancers / Chambwe, N., Sayaman, R.W., Hu, D., Huntsman, S., Kemal, A., Caesar-Johnson, S., Zenklusen, J.C., Ziv, E., Beroukhim, R., Cherniack, A.D., Carrot-Zhang, J., Berger, A.C., Han, S., Meyerson, M., Damrauer, J.S., Hoadley, K.A., Felau, I., Demchok, J.A., Mensah, M.K.A., Tarnuzzer, R., et al.. - In: STAR PROTOCOLS. - ISSN 2666-1667. - 3:3(2022), pp. 10158601-10158618. [10.1016/j.xpro.2022.101586]

Analysis of germline-driven ancestry-associated gene expression in cancers

Romanel, Alessandro;Demichelis, Francesca;
2022-01-01

Abstract

Differential mRNA expression between ancestry groups can be explained by both genetic and environmental factors. We outline a computational workflow to determine the extent to which germline genetic variation explains cancer-specific molecular differences across ancestry groups. Using multi-omics datasets from The Cancer Genome Atlas (TCGA), we enumerate ancestry-informative markers colocalized with cancer-type-specific expression quantitative trait loci (e-QTLs) at ancestry-associated genes. This approach is generalizable to other settings with paired germline genotyping and mRNA expression data for a multi-ethnic cohort. For complete details on the use and execution of this protocol, please refer to Carrot-Zhang et al. (2020), Robertson et al. (2021), and Sayaman et al. (2021).
2022
3
Chambwe, Nyasha; Sayaman, Rosalyn W.; Hu, Donglei; Huntsman, Scott; Kemal, Anab; Caesar-Johnson, Samantha; Zenklusen, Jean C.; Ziv, Elad; Beroukhim, R...espandi
Analysis of germline-driven ancestry-associated gene expression in cancers / Chambwe, N., Sayaman, R.W., Hu, D., Huntsman, S., Kemal, A., Caesar-Johnson, S., Zenklusen, J.C., Ziv, E., Beroukhim, R., Cherniack, A.D., Carrot-Zhang, J., Berger, A.C., Han, S., Meyerson, M., Damrauer, J.S., Hoadley, K.A., Felau, I., Demchok, J.A., Mensah, M.K.A., Tarnuzzer, R., et al.. - In: STAR PROTOCOLS. - ISSN 2666-1667. - 3:3(2022), pp. 10158601-10158618. [10.1016/j.xpro.2022.101586]
File in questo prodotto:
File Dimensione Formato  
1-s2.0-S266616672200466X-main.pdf

accesso aperto

Tipologia: Versione editoriale (Publisher’s layout)
Licenza: Creative commons
Dimensione 3.57 MB
Formato Adobe PDF
3.57 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/406370
Citazioni
  • ???jsp.display-item.citation.pmc??? 2
  • Scopus 2
  • ???jsp.display-item.citation.isi??? 1
  • OpenAlex 2
social impact