A California company says it can decipher almost all the DNA code of a days-old embryo created through in vitro fertilization, suggesting it could be possible to forecast risk for common diseases that develop decades down the line.
A California company says it can decipher almost all the DNA code of a days-old embryo created through in vitro fertilization —a challenging feat because of the tiny volume of genetic material available for analysis. The advance depends on fully sequencing both parents’ DNA and “reconstructing” an embryo’s genome with the help of those data. And the company suggests it could make it possible to forecast risk for common diseases that develop decades down the line.
. The new work on polygenic risk scores for IVF embryos is “exploratory research,” says Premal Shah, CEO of MyOme, the company reporting the results. Today in, the MyOme team, led by company co-founders and scientists Matthew Rabinowitz and Akash Kumar, along with colleagues elsewhere, describe creating such scores by first sequencing the genomes of 10 pairs of parents who had already undergone IVF and had babies.
Once they had reconstructed embryo genomes in hand, the researchers turned to published data from large genomic studies of adults with or without common chronic diseases and the polygenic risk score models that were derived from that information. Then, MyOme applied those models to the embryos, crunching polygenic risk scores for 12 diseases, including breast cancer, coronary artery disease, and type 2 diabetes.
Kumar and his co-authors acknowledge the scores’ limitations, including that they are based on DNA from populations of overwhelmingly European ancestry and may be less accurate in other groups. Because of that, the MyOme team did not create disease risk assessments for embryos whose genome reflected at least 20% Asian or African ancestry.
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