PhenX RISING: real world implementation and sharing of PhenX measures.

Abstract

BACKGROUND: The purpose of this manuscript is to describe the PhenX RISING network and the site experiences in the implementation of PhenX measures into ongoing population-based genomic studies. METHODS: Eighty PhenX measures were implemented across the seven PhenX RISING groups, thirty-three of which were used at more than two sites, allowing for cross-site collaboration. Each site used between four and 37 individual measures and five of the sites are validating the PhenX measures through comparison with other study measures. Self-administered and computer-based administration modes are being evaluated at several sites which required changes to the original PhenX Toolkit protocols. A network-wide data use agreement was developed to facilitate data sharing and collaboration. RESULTS: PhenX Toolkit measures have been collected for more than 17,000 participants across the PhenX RISING network. The process of implementation provided information that was used to improve the PhenX Toolkit. The Toolkit was revised to allow researchers to select self- or interviewer administration when creating the data collection worksheets and ranges of specimens necessary to run biological assays has been added to the Toolkit. CONCLUSIONS: The PhenX RISING network has demonstrated that the PhenX Toolkit measures can be implemented successfully in ongoing genomic studies. The next step will be to conduct gene/environment studies.

Department

Description

Provenance

Subjects

Adult, Aged, Asian Continental Ancestry Group, Child, China, Cognition, Diabetes Mellitus, Female, Gene-Environment Interaction, Humans, India, Longitudinal Studies, Male, Middle Aged, Phenotype, Precision Medicine, Surveys and Questionnaires, United States

Citation

Published Version (Please cite this version)

10.1186/1755-8794-7-16

Publication Info

McCarty, Catherine A, Wayne Huggins, Allison E Aiello, Robert M Bilder, Ahmad Hariri, Terry L Jernigan, Erik Newman, Dharambir K Sanghera, et al. (2014). PhenX RISING: real world implementation and sharing of PhenX measures. BMC Med Genomics, 7. p. 16. 10.1186/1755-8794-7-16 Retrieved from https://hdl.handle.net/10161/13831.

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Scholars@Duke

Hariri

Ahmad Hariri

Professor of Psychology and Neuroscience

Integrating psychology, neuroimaging, pharmacology and molecular genetics in the search for biological pathways mediating individual differences in behavior and related risk for psychopathology.

Strauman

Timothy J. Strauman

Professor of Psychology and Neuroscience

Professor Strauman’s work is grounded in the premise that mental health and well-being are fundamentally shaped by self-regulation—how individuals pursue goals, respond to challenges, and adapt over time. His research integrates clinical psychology, affective neuroscience, and behavioral science to characterize the psychological and neurobiological systems that support self-regulation, and to understand how disruptions in these systems contribute to vulnerability to depression and related conditions.

Across a program of experimental, clinical, and neuroimaging research, his work has examined self-regulation as a multi-level system, including its cognitive and motivational mechanisms, its development through socialization, and its links to affective and immunological processes. This work has also informed the development and evaluation of novel interventions targeting self-regulatory dysfunction.

More recently, his work has focused on translating this science of self-regulation into scalable approaches to intervention and prevention. This includes the development of new models of treatment that target regulatory processes across disorders, as well as efforts to extend effective self-regulation skills beyond traditional clinical settings and into everyday contexts. This translational focus reflects a broader aim of building integrated, system-level approaches to mental health that can improve outcomes at population scale.


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