Evidence map›Paper›PMID 31048771›Full record

ArticleScientific reports2019

Genetic Predisposition Impacts Clinical Changes in a Lifestyle Coaching Program.

Niha Zubair, Matthew P Conomos, Leroy Hood, Gilbert S Omenn, Nathan D Price, Bonnie J Spring, Andrew T Magis, Jennifer C Lovejoy

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Niha ZubairArivale, Inc, Seattle, WA, 98104, USA.
Matthew P ConomosArivale, Inc, Seattle, WA, 98104, USA.
Leroy HoodInstitute for Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA.
Gilbert S OmennComputational Medicine and Bioinformatics, Department of Human Genetics, Molecular Medicine and Genetics, School of Public Health, University of Michigan, Ann Arbor, MI, USA.
Nathan D PriceInstitute for Systems Biology, 401 Terry Ave N, Seattle, WA, 98109, USA.
Bonnie J SpringCenter for Behavior and Health, Institute for Public Health and Medicine, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Andrew T MagisArivale, Inc, Seattle, WA, 98104, USA.
Jennifer C LovejoyArivale, Inc, Seattle, WA, 98104, USA. Jennifer.lovejoy@systemsbiology.org.

Funding

Strategic Vision & Impact on Environmental HealthP30ES017885 · NIEHS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Dana Dolinoy · 2011 to 2026
$21.3M
6 · The paper itself

Abstract

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.

Indexed as

Disease SusceptibilityGenetic Predisposition to DiseaseHealth PromotionLife StyleMentoringBiological Variation, PopulationBiomarkersHealth BehaviorHumansPolymorphism, Single NucleotidePublic Health SurveillanceQuantitative Trait, HeritableQuantitative Trait LociBiomarkers

Identifiers

PMID31048771
PMCPMC6497671

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.