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Home All issues Volume 36 / No 3 (Mars 2020) Med Sci (Paris), 36 3 (2020) 289-291 References
Open Access
Issue
Med Sci (Paris)
Volume 36, Number 3, Mars 2020
Page(s) 289 - 291
Section Forum
DOI https://doi.org/10.1051/medsci/2020028
Published online 31 March 2020
  1. Regalado A. The world’s first Gattaca baby tests are finally here. MIT Tech review, Nov 8, 2019. https://www.technologyreview.com/s/614690/polygenic-score-ivf-embryo-dna-tests-genomic-prediction-gattaca/ [Google Scholar]
  2. Jordan B. Balayage du génome et repérage des personnes à risque : des GWAS aux GPS. Med Sci (Paris) 2018 ; 34 : 1116–9 [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  3. Bycroft C, Freeman C, Petkova D, et al. The UK biobank resource with deep phenotyping and genomic data. Nature 2018 ; 562 : 203–9. [Google Scholar]
  4. Torkamani A, Wineinger NE, Topol EJ. The personal and clinical utility of polygenic risk scores. Nat Rev Genet 2018 ; 19 : 581–90. [CrossRef] [PubMed] [Google Scholar]
  5. Khera AV, Chaffin M, Aragam KG, et al. Genome-wide polygenic scores for common diseases identify individuals with risk equivalent to monogenic mutations. Nat Genet 2018 ; 50 : 1219–24. [Google Scholar]
  6. Fahed AC, Wang M, Homburger JR, et al. Polygenic background modifies penetrance of monogenic variants conferring risk for coronary artery disease, breast cancer, or colorectal cancer. medRxiv preprint first posted online Nov. 29, 2019 ; doi: http://dx.doi.org/10.1101/19013086 [Google Scholar]
  7. Wray NR, Yang J, Hayes BJ, et al. Pitfalls of predicting complex traits from SNPs. Nat Rev Genet 2013 ; 14 : 507–15. [CrossRef] [PubMed] [Google Scholar]
  8. Karavani E, Zuk O, Zeevi D, et al. Screening human embryos for polygenic traits has limited utility. Cell 2019 ; 179 : 1424–35. [CrossRef] [PubMed] [Google Scholar]
  9. Lello L, Raben TG, Yong SY, et al. Genomic prediction of 16 complex disease risks including heart attack, diabetes, breast and prostate cancer. Sci Rep 2019 ; 9 : 15286. [CrossRef] [PubMed] [Google Scholar]
  10. Jordan B. Bébés CRISPR : anatomie d’une transgression. Med Sci (Paris) 2019 ; 35 : 266–70. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
  11. Cohen-Haguenauer O. Prédisposition héréditaire au cancer du sein (2). Risques et prise en charge. Med Sci (Paris) 2019 ; 35 : 332–45. [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]

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