2019
DOI: 10.1038/s41598-019-43058-0
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Genetic Predisposition Impacts Clinical Changes in a Lifestyle Coaching Program

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 d… Show more

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Cited by 55 publications
(62 citation statements)
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“…We interrogated the associations between plasma concentrations of sACE2 and biomarkers of metabolic syndrome (body mass index, BMI; blood pressure; glycemic markers; and lipid levels), adiposity (plasma leptin and serum adiponectin), inflammation (high-sensitivity C-reactive protein, hsCRP, white blood cell count, and interleukin-8), and liver damage (alanine aminotransferase, aspartate transaminase, and gamma-glutamyl-transferase, GGT) in a large cohort of participants in a commercial wellness program who had undergone comprehensive multi-omic profiling ( N = 2051; 1238 women and 813 men, aged 22 to 87 years, M = 47.3, SD = 11.71) (see [ 5 ] for details). Clinical laboratory tests were performed in CLIA-certified laboratories by Quest Diagnostics or LabCorp.…”
mentioning
confidence: 99%
“…We interrogated the associations between plasma concentrations of sACE2 and biomarkers of metabolic syndrome (body mass index, BMI; blood pressure; glycemic markers; and lipid levels), adiposity (plasma leptin and serum adiponectin), inflammation (high-sensitivity C-reactive protein, hsCRP, white blood cell count, and interleukin-8), and liver damage (alanine aminotransferase, aspartate transaminase, and gamma-glutamyl-transferase, GGT) in a large cohort of participants in a commercial wellness program who had undergone comprehensive multi-omic profiling ( N = 2051; 1238 women and 813 men, aged 22 to 87 years, M = 47.3, SD = 11.71) (see [ 5 ] for details). Clinical laboratory tests were performed in CLIA-certified laboratories by Quest Diagnostics or LabCorp.…”
mentioning
confidence: 99%
“…It is unclear what the costs will be of assembling such a package of data and providing effective coaching about what the data means for the individual. Start-up companies which are operating in this arena in the USA have shown that it is technologically feasible [58] but have struggled with the economies of scale needed to make it commercially viable, so whether national health authorities could adopt this approach more successfully remains unclear. However, like most technological solutions, it can reasonably be expected that costs will fall significant-DOI: 10.1159/000503141 ly with time and with adoption at scale.…”
Section: Discussionmentioning
confidence: 99%
“…For example, the Institute for Systems Biology generated a deeply phenotyped longitudinal data set from a real-world population for over 6200 individuals across the wellness to disease spectra who participated in a consumer wellness program between 2015 and 2019 and shared their deidentified data for research purposes. 59,60 For each individual, a personal, dense, dynamic, data (PD3) cloud that included genomics and longitudinal measures of clinical laboratories, metabolomics, proteomics, and gut microbiomics was generated. This also included data from wearable monitors and questionnaires to capture user-reported measures of lifestyle, physical health, and mental health.…”
Section: The Need For Deeply Phenotyped Data Setsmentioning
confidence: 99%