Polygenic Embryo Screening: Towards Informed Decision-Making

NIH Jun 1, 2021 | R01

Polygenic Embryo Screening: Towards Informed Decision-Making

Principal Investigator(s): CARMI, SHAI , LAZARO-MUNOZ, GABRIEL , LENCZ, TODD (contact);

Institution: FEINSTEIN INSTITUTE FOR MEDICAL RESEARCH

FOA Number: PA-17-444

Abstract

PROJECT NARRATIVE Recent progress in complex trait genetics, coupled with the technical ability to generate accurate genome-wide genotypes from single-cell input, has made it possible to genetically screen embryos for common polygenic traits and disease risk. However, little empirical work has been done to quantify the utility of polygenic embryo screening (PES), examine its ethical implications, and assess stakeholder perspectives. The proposed study is designed to provide the necessary empirical basis for informed ethical discussion.

FUNDING AGENCY:

Funder:
NIH

Institute:
NATIONAL HUMAN GENOME RESEARCH INSTITUTE

Funding Type:
R01

Project Number:
R01HG011711

Start Date:
Jun 1, 2021

End Date:
Mar 31, 2025

PROJECT TERMS:

Alleles, Aneuploidy, Assisted Reproductive Technology, Attitude, base, Cells, clinical application, Complex Genetic Trait, Confidence Intervals, Coupled, Data, Data Set, Decision Making, design, Diabetes Mellitus, Disease, disorder risk, Embryo, Endocrinologist, Ethical Analysis, ethical legal social implication, Ethics, evidence base, Future, General Population, genetic counselor, genome-wide, genotype, Heart Diseases, Height, Individual, Industry, Intelligence, interest, Interview, Investigation, Knowledge, Malignant Neoplasms, mendelian disorder, Mental disorders, Methodology, Modeling, Motivation, natural Blastocyst Implantation, Noise, Outcome, Partner in relationship, Patients, Phase, pleiotropism, polygenic risk score, Polygenic Traits, preference, Preimplantation Diagnosis, prenatal, Prevalence, Privatization, Property, Publishing, Reporting, reproductive, reproductive medicine, Research, Research Project Grants, Risk, Risk Reduction, screening, Screening procedure, Services, Shapes, simulation, stakeholder perspectives, Stigmatization, Surveys, Technology, theories, Time, trait, Uncertainty, willingness, Work

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