Dataset Information

The Pioneer 100 Wellness Project (P100)

ABSTRACT:

108 individuals (age 21-89+ years; 59% males, 41% females; 89% Caucasian; not recruited based on any specific phenotype) participated in an IRB-approved study from April 2014 to January 2015. Each individual had the genome sequenced in full. Blood was collected in clinics every three months. Additionally, participants completed at-home collections of saliva, stool, and first morning void urine every three months. Stool and saliva samples were shipped directly to the vendor by the participant, while urine was given back to the study coordinators for distribution to the proper sample vendor. For each successful participant in each round we carried out 218 clinical laboratory tests, measured up to 643 metabolites and 262 proteins, and measured the abundance of 4616 operational taxonomic units (OTUs) in the gut microbiome using 16S rRNA sequencing.

The P100 study had four objectives: 1) Establish cost-efficient procedures for generating, storing and analyzing multiple sources of health data obtained over time from participants and analyzed in combination with genomic data; 2) Develop and deploy analytic tools for integrating these diverse datasets and deriving actionable information from their observed interrelationships; 3) Identify novel patterns within the streams of health data that indicate either wellness, or transitions between wellness and disease; 4) Learn how to best interface with and present longitudinal health information to individuals by studying the reactions and feedback from participants as they are presented actionable information.

PROVIDER: phs001363 | dbGaP |

SECONDARY ACCESSION(S): PRJNA384486PRJNA384485

REPOSITORIES: dbGaP

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Dataset's files

Source:

			Action	DRS
	GapExchange_phs001363.v1.p1.xml	Xml
	dbGaPEx2.1.5.xsd	Other
	Study_Report.phs001363.HPWP.v1.p1.MULTI.pdf	Pdf
	manifest_phs001363.HPWP.v1.p1.c1.GRU-IRB-PUB-COL-NPU.pdf	Pdf
	datadict_v2.xsl	Other

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Project description:The objective of this study was analysis of the whole saliva transcriptome to search for biomarkers of psychosocial stressor exposure and substance use in young adults drawn from a population-based longitudinal cohort, the Oregon Youth Substance Use Project. We conducted genome-wide gene expression analysis on whole saliva RNA from 48 individuals stratified by psychosocial stressor exposure using an Affymetrix Gene ST 1.0 array. We applied Weighted Gene Co-expression Network Analysis (WCGNA) to characterize the high-level structure in the data and to relate expression patterns among samples to participant clinical characteristics. This approach finds clusters of correlated genes (modules) which can reflect clinical, histological, or intracellular organization and function. Using WCGNA, we constructed a gene expression network from saliva genome-wide gene expression data, which we found to be similar to a network we constructed from publicly available cell-free saliva genome-wide gene expression data. Functional characterization of the WGCNA modules suggested that the samples varied in composition between an expression profile similar to circulating antigen presenting cell types and a glycoprotein-containing expression profile. We identified a significant relation between one module of whole saliva genome-wide gene expression and smoking behavior, and one with psychosocial stressor exposure. The smoking-related module was related to mitochondrial gene expression, and ever-smokers were found to have reduced overall mitochondrial gene expression. To determine whether reduced expression could be explained by reduction in mitochondrial DNA, we measured mtDNA copy number variation within genomic DNA from 400 OYSUP participants. Surprisingly, we found that more frequent smoking is associated with increased mtDNA copy number. The network structure of whole saliva and its association with clinically assessed exposures and behaviors are reported here for the first time.

Dataset Information

The Pioneer 100 Wellness Project (P100)

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