Genetic Predisposition Impacts Clinical Changes in a Lifestyle Coaching Program

被引：39

作者：

Zubair, Niha ^{[1
]}

Conomos, Matthew P. ^{[1
,2
]}

Hood, Leroy ^{[3
,4
]}

Omenn, Gilbert S. ^{[5
]}

Price, Nathan D. ^{[3
]}

Spring, Bonnie J. ^{[6
]}

Magis, Andrew T. ^{[1
]}

Lovejoy, Jennifer C. ^{[1
,3
]}

机构：

[1] Arivale Inc, Seattle, WA 98104 USA

[2] Univ Washington, Dept Biostat, Seattle, WA 98195 USA

[3] Inst Syst Biol, 401 Terry Ave N, Seattle, WA 98109 USA

[4] Providence St Joseph Hlth, Seattle, WA USA

[5] Univ Michigan, Sch Publ Hlth, Dept Human Genet Mol Med & Genet, Computat Med & Bioinformat, Ann Arbor, MI 48109 USA

[6] Northwestern Univ, Feinberg Sch Med, Inst Publ Hlth & Med, Ctr Behav & Hlth, Chicago, IL 60611 USA

来源：

SCIENTIFIC REPORTS | 2019年 / 9卷 / 1期

关键词：

BLOOD-PRESSURE; ASSOCIATION; INTERVENTIONS; MANAGEMENT; REDUCTION; OBESITY; ADULTS; RISK;

D O I：

10.1038/s41598-019-43058-0

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

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.

引用

页数：11

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