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The power of combined spatial transcriptomics and genome wide association studies (GWAS) approaches to heritable prostate cancer

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References

  • Danan CH, Katada K, Parham LR, Hamilton KE (2022) Spatial transcriptomics add a new dimension to our understanding of the gut. Am J Physiol Gastrointest Liver Physiol (2022) Dec 6. https://doi.org/10.1152/ajpgi.00191.2022. Online ahead of print

  • Goldgar DE, Easton DF, Cannon-Albright LA, Skolnick MH (1994) Systematic population-based assessment of cancer risk in first-degree relatives of cancer probands. J Natl Cancer Inst 86:1600–1608

    Article  CAS  PubMed  Google Scholar 

  • Lange EM (2010) Identification of genetic risk factors for prostate cancer: analytic approaches using hereditary prostate cancer families. In: Foulkes WD, Cooney KA (eds) Male reproductive cancers: epidemiology, pathology and genetics. Springer, New York, p 203–228

  • Lichtenstein P, Holm NV, Verkasalo PK, Iliadou A, Kaprio J, Kos-kenvuo M, Pukkala E, Skytthe A, Hemminki K (2000) Environmental and heritable factors in the causation of cancer—analyses of cohorts of twins from Sweden, Denmark, and Finland. N Engl J Med 343:78–85

    Article  CAS  PubMed  Google Scholar 

  • Perbal B (2019) CCN proteins are part of a multilayer complex system: a working model. J Cell Commun Signal 13:437–439

    Article  PubMed  PubMed Central  Google Scholar 

  • Rao A, Barkley D, França GS, Yanai I (2021) Exploring tissue architecture using spatial transcriptomics. Nature 596:211–220. https://doi.org/10.1038/s41586-021-03634-9

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Wang G, Zhao D, Spring DJ, DePinho RA (2018) Genetics and biology of prostate cancer. Genes Dev 32:1105–1140

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Williams CG, Lee HJ, Asatsuma T, Vento–Tormo R, Haque A (2022) An introduction to spatial transcriptomics for biomedical research. Genome Med 14:68. https://doi.org/10.1186/s13073-022-01075-1

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  • Yuan J, Houlahan KE, Ramanand SG, Lee S, Baek G, Yanh Y, Chen Y, Strand DW, Zhang MQ, Boutros PC, Mani RS (2022) Prostate Cancer transcriptomic regulation by the interplay of germline risk alleles, somatic mutations, and 3D genomic architecture. Cancer Discov 12:2838–2855

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

Thanks are due to Dr. Herman Yeger and Annick Perbal for critical review of the manuscript and suggestions.

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  1. Nice, France

    Bernard Perbal

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  1. Bernard Perbal
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Correspondence to Bernard Perbal.

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Perbal, B. The power of combined spatial transcriptomics and genome wide association studies (GWAS) approaches to heritable prostate cancer. J. Cell Commun. Signal. 17, 5–6 (2023). https://doi.org/10.1007/s12079-023-00724-3

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