Genetic Predisposition Impacts Clinical Changes in a Lifestyle Coaching Program.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
02 05 2019
Historique:
received: 12 11 2018
accepted: 12 04 2019
entrez: 4 5 2019
pubmed: 3 5 2019
medline: 21 10 2020
Statut: epublish

Résumé

Both genetic and lifestyle factors contribute to an individual's disease risk, suggesting a multi-omic approach is essential for personalized prevention. Studies have examined the effectiveness of lifestyle coaching on clinical outcomes, however, little is known about the impact of genetic predisposition on the response to lifestyle coaching. Here we report on the results of a real-world observational study in 2531 participants enrolled in a commercial "Scientific Wellness" program, which combines multi-omic data with personalized, telephonic lifestyle coaching. Specifically, we examined: 1) the impact of this program on 55 clinical markers and 2) the effect of genetic predisposition on these clinical changes. We identified sustained improvements in clinical markers related to cardiometabolic risk, inflammation, nutrition, and anthropometrics. Notably, improvements in HbA1c were akin to those observed in landmark trials. Furthermore, genetic markers were associated with longitudinal changes in clinical markers. For example, individuals with genetic predisposition for higher LDL-C had a lesser decrease in LDL-C on average than those with genetic predisposition for average LDL-C. Overall, these results suggest that a program combining multi-omic data with lifestyle coaching produces clinically meaningful improvements, and that genetic predisposition impacts clinical responses to lifestyle change.

Identifiants

pubmed: 31048771
doi: 10.1038/s41598-019-43058-0
pii: 10.1038/s41598-019-43058-0
pmc: PMC6497671
doi:

Substances chimiques

Biomarkers 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

6805

Subventions

Organisme : NIEHS NIH HHS
ID : P30 ES017885
Pays : United States

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Auteurs

Niha Zubair (N)

Arivale, Inc, Seattle, WA, 98104, USA.

Matthew P Conomos (MP)

Arivale, Inc, Seattle, WA, 98104, USA.
Department of Biostatistics, University of Washington, Seattle, WA, USA.

Leroy Hood (L)

Institute for Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA.
Providence St. Joseph Health, Seattle, Washington, USA.

Gilbert S Omenn (GS)

Computational Medicine and Bioinformatics, Department of Human Genetics, Molecular Medicine and Genetics, School of Public Health, University of Michigan, Ann Arbor, MI, USA.

Nathan D Price (ND)

Institute for Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA.

Bonnie J Spring (BJ)

Center for Behavior and Health, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.

Andrew T Magis (AT)

Arivale, Inc, Seattle, WA, 98104, USA.

Jennifer C Lovejoy (JC)

Arivale, Inc, Seattle, WA, 98104, USA. Jennifer.lovejoy@systemsbiology.org.
Institute for Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA. Jennifer.lovejoy@systemsbiology.org.

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