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This project will investigate the nature of disability to articulate, for public policy, the purposes for which emerging testing capabilities ought ethically to be used. To analyze the nature of disability, the project participants--including experts from disability studies, medical geneticists, genetic counselors, philosophers, and others--will examine two distinctions that are not well addressed in the literature: the distinction between nondisease and disease traits, and the distinction between medical and social disabilities.

The proposed research will study whether there should be any limits placed on life insurers' use of predictive genetic information in risk classification or medical underwriting. The research will focus on the following issues:

- the current state of the science on the use of predictive genetic information in mortality risk calculations;

- the statutory and case law addressing actuarial fairness in life insurance;

New screening technologies and new knowledge about the origin and treatment of genetic conditions are changing the genetic screening environment. This project will focus on the impact of these changes on newborn screening, an on-going public health program that tests virtually all newborns for genetic disorders. The long-term objective is to provide guidance to the professionals, policymakers, and members of the public who must make decisions about newborn screening in this new environment. The specific aims are:1.

Most, if not all, human diseases have one or more genetic factors that contribute to cause, likelihood of occurrence, severity, and response to existing or experimental treatments. There is a general perception that the ability to define a person's genetic makeup will lead to better health, improved treatments and a better understanding of risks to other family members. However, many genetic technologies increase uncertainty and confusion in the minds of patients, relatives, doctors, health insurers and others.

The purpose of this study is to provide empirical data on effects of intellectual property (IP) and commercialization on clinical translation of noninvasive prenatal genetic testing (NIPT) and identify potential barriers to clinical adoption and patient access. Advances in technologies for genetic analysis of cell-free fetal DNA could make NIPT routine. Early clinical trials indicate that sequencing-based NIPT tests for chromosomal aneuploidies are more accurate than currently used noninvasive screening tests.

The advent of clinical genome sequencing to identify patients at risk for serious diseases and to tailor treatments promises to greatly improve health outcomes and provide a foundation for the delivery of Precision Medicine. However, even as laboratory methods to perform sequencing become highly efficient, uncertainty around the optimal breadth and economic value of sequencing as well as ambiguity around which individuals should be tested presents a critical barrier to wider use.

Advances in technology have led to the availability of genetic testing for a wide range of conditions for healthy or high-risk newborns. It is expected that the funds spent on genetic testing in the U.S. will reach $25 billion by 2021. With the numerous uses of genomic information, understanding the clinical value and long-term impact of genomic technologies on morbidity, mortality, quality of life, and diagnosis and treatment costs is essential.

As genomic sequence data are being produced faster and at lower cost, the most significant challenge in clinical genetic testing today is variant classification. Currently, there are marked differences in variant classification among clinical laboratories, with clinically significant discrepancies in 29% of variants interpreted. Variants that were previously categorized as pathogenic are now known to be benign with the increasing availability of more ethnically diverse reference data, and this is issue is more common for individuals of non-European ancestry.