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" ... Hacking Darwin has two parts, a Darwin (historical) part and a Hacking (futuristic) part. The first is a meticulously researched and written history of reproductive genetics, from Mendel and Darwin to Watson, Crick and Franklin, to Steptoe and Edwards, along parallel paths of basic science, medicine and bioethics. Anyone seeking perspective and background for the coming debates on gene modification, de novo egg and sperm creation, and the movement towards consensus on preimplantation genetic diagnosis for miscarriage and genetic disease prevention, fertility preservation in cancer survivors, reproductive alternatives for the LGBT population and proactive family planning using vitrification of eggs and sperm should start here. ... "
" ... If you want to lose me quickly in any discussion about preimplantation genetics (choose your acronym: PGD, PGS, PGT), use the term "slippery slope." ... "
" ... Offer every family with a child or family member with a at risk for conceiving a child with one of these diseases an in vitro fertilization (IVF) cycle with preimplantation genetic diagnosis (PGD). Freeze and store the eggs or embryos created, and bring the risk for having another affected baby down to zero. Pay for it all with a small percentage of the sky-high gross margins of the gene therapy treatments in development, and make that a condition for FDA approval. ... "
" ... The DNA tests, known scientifically as preimplantation genetic testing for aneuploidy (PGT-A) or comprehensive chromosome screening (CCS), aim to establish whether embryos made via in-vitro fertilization have the normal number of chromosomes—23 pairs—or perhaps one missing or one too many. Abnormal, called “aneuploid,” embryos are considered less likely to develop into healthy babies, and are not transferred into a woman’s womb for a chance at pregnancy. ... "
" ... There are ways to address these challenges. For example, the incorporation of preimplantation genetic testing, for example, adds a hard data point (euploid vs aneuploid) to the “trust the algorithm” acceptance of the complex criteria that machine learning imposes when it translates tens of thousands of “blastocyst image analysis crossed with pregnancy outcome” correlations per embryo into individual treatment recommendations. ... "