Beyond the Medical: The ELSI of Polygenic Scores for Social Traits
超越医学:社会特征多基因评分的 ELSI
基本信息
- 批准号:10433231
- 负责人:
- 金额:$ 71.15万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-06-13 至 2026-03-31
- 项目状态:未结题
- 来源:
- 关键词:AddressAttitudeAwarenessBehaviorBehavioralBenefits and RisksBiologicalCase StudyComplexConsentConsumptionDataDatabasesDevelopmentDiabetes MellitusDiscriminationDiseaseEmpirical ResearchEnvironmentEnvironmental Risk FactorEthicsEugenicsGenesGeneticGenomicsGoalsHealthHeart DiseasesHuntington DiseaseIncomeIndividualInsurance CarriersInterviewLawsLeadLegalLifeMapsMeasuresMedicalMethodologyModelingOutcomePaperParticipantPerceptionPoliciesPolicy AnalysisPolicy MakerPolygenic TraitsPopulationPredictive ValueProcessPublic HealthPublicationsPublished CommentRegulationReproductive BehaviorResearchResearch DesignResearch PersonnelResourcesRiskRisk BehaviorsRoleScanningScientistSexualitySocial ImpactsSocial JusticeSocial PoliciesSocial SciencesSocial outcomeSourceStudentsSumSurveysTechnologyTestingUniversitiesbehavioral outcomebiobankethical legal social implicationgenetic predictorsgenetic technologygenetic testinggenetic varianthigh riskimplementation barriersimprovedlegal casesnew technologynewsoptimismpersonalized medicinepolygenic risk scoreresearch studysocialsocial disparitiessocial genomicssocial inequalitysocial interventionssocial science researchstakeholder perspectivessymposiumtraittrend
项目摘要
7. PROJECT SUMMARY/ ABSTRACT
In traditional predictive genetic testing single gene variants are analyzed to determine whether an individual is
at high risk of developing a disease. The vast majority of diseases, however, are polygenic—caused by many
different genes. Polygenic risk scores (PRS) have been heralded for their promise to predict risk for these more
complex diseases like heart disease or diabetes by measuring the contribution of hundreds or thousands of
genetic variants at once. Yet beyond prediction of health or medical outcomes, the realm of `sociogenomics' is
developing polygenic scores (PGS) measuring genetic contributions to social traits and behavioral factors, such
as income, educational attainment, sexuality, and optimism. Proponents of sociogenomic PGS cite the
potential for this research to increase understanding of the interplay between genetic and environmental
factors, to account for genetic factors in social science research, and to create personalized social interventions
akin to personalized medicine. But others worry that sociogenomic PGS findings could lead to discrimination
and an exacerbation of existing social disparities. In order to understand the ethical, legal, and social
implications of sociogenomic PGS research and its outcomes, this project addresses the following research
questions: 1) What are the current trends in the development of sociogenomic PGS and what are the possible
applications of scores in social settings?; 2) How do various stakeholders perceive the benefits and risks of
sociogenomic PGS?; and 3) How well do existing laws, policies, or governance protect against the potential
harms of sociogenomic PGS while also promoting their potential benefits? Answering these questions requires
both empirical research and legal analysis. Using horizon scanning methodologies, Aim 1 maps the landscape
of sociogenomic PGS, their potential applications, and how sociogenomic research findings are presented to
and consumed by the public. Aim 2 enlists those involved in the pipeline of sociogenomics research (biobank
participants whose genetic data may be used to develop PGS, PGS researchers who develop the scores, and
social scientists who may use the scores in their research studies) to examine and assess their attitudes toward
the range of harms and benefits of sociogenomic PGS, and the implications of varying applications of PGS.
Both of these efforts will inform Aim 3, which consists of a legal and policy analysis of how current legal rules
protect against potential misuse and/or promote possible benefits of sociogenomic findings. The product of
this project will be a set of case studies designed to help policy makers and researchers anticipate and mitigate
the potential harms of employing sociogenomic PGS in various social settings while still identifying and
maximizing potential benefits.
7. 项目摘要/摘要
项目成果
期刊论文数量(0)
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Rosemary Jean Cadigan其他文献
Rosemary Jean Cadigan的其他文献
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{{ truncateString('Rosemary Jean Cadigan', 18)}}的其他基金
Beyond the Medical: The ELSI of Polygenic Scores for Social Traits
超越医学:社会特征多基因评分的 ELSI
- 批准号:
10644015 - 财政年份:2022
- 资助金额:
$ 71.15万 - 项目类别:
Incidental Enhancement: Addressing a Neglected Policy Issue in Human Genome Editing
附带增强:解决人类基因组编辑中被忽视的政策问题
- 批准号:
10565919 - 财政年份:2020
- 资助金额:
$ 71.15万 - 项目类别:
Incidental Enhancement: Addressing a Neglected Policy Issue in Human Genome Editing
附带增强:解决人类基因组编辑中被忽视的政策问题
- 批准号:
10363704 - 财政年份:2020
- 资助金额:
$ 71.15万 - 项目类别:
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