Polygenic risk scoring in the human embryo: reproductive genetics, final frontier?

Looking into the Crystal Ball

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VOLUME 1, ISSUE 1, P14-15

Author:

Nathan R. Treff, Ph.D., H.C.L.D.(A.B.B.)

Abstract:

The use of DNA to predict disease and discern risks in advance could lead to substantial improvements in the quality, length, and productivity of human life. We are now on the horizon of applying machine-learning analysis of information from population-wide medical records and genome-wide DNA repositories to reduce the burden of disease in humans. Thousands of publications derived from new resources, such as the Million Veteran Program (1) and the UK Biobank (2), have led to the development of accurate DNA-based prediction of risk for many human diseases, a concept previously postulated by pioneers in reproductive medicine (3, 4, 5). Early detection of genetic predisposition to disease was also a goal for pioneers of the Human Genome Project (6) and International HapMap Project (7).

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Fertility and Sterility

Editorial Office, American Society for Reproductive Medicine

Fertility and Sterility® is an international journal for obstetricians, gynecologists, reproductive endocrinologists, urologists, basic scientists and others who treat and investigate problems of infertility and human reproductive disorders. The journal publishes juried original scientific articles in clinical and laboratory research relevant to reproductive endocrinology, urology, andrology, physiology, immunology, genetics, contraception, and menopause. Fertility and Sterility® encourages and supports meaningful basic and clinical research, and facilitates and promotes excellence in professional education, in the field of reproductive medicine.

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