BMJ Open · 2014 · 26 citations · 27 references
Public HealthHealth SciencesToxicologyEnvironmental HealthOccupational HealthOccupational ToxicologyEnvironmental Heavy Metal ExposureExposure AssessmentOccupational Environmental HealthOccupational EpidemiologyOccupational Health HazardsOccupational Heavy Metal ExposureCohort Study InvestigationHeavy Metal Exposure EpidemiologyLongitudinal Cohort AnalysisLongitudinal Cohort StudiesOccupational Exposure BiomarkersOccupational Exposure EpidemiologyOccupational Manganese ExposureUrinary Manganese Biomarkers
OBJECTIVE: To determine the relationship between biomarkers of exposure, disease and susceptibility, and early health effects and long-term diseases related to occupational manganese (Mn) exposure. DESIGN: Baseline survey of a longitudinal cohort study of workers in a ferromanganese refinery. PARTICIPANTS: A total of 1888 individuals (1197 men, 691 women; average seniority 15.34 years) were enrolled in the Guangxi manganese-exposed workers healthy cohort (GXMEWHC) study. Participants were between 18 and 60 years of age (mean 40.31 years), had worked in the ferromanganese refinery for at least 1 year and lived in the local area. RESULTS: The GXMEWHC study included a baseline survey. Participants were divided into four groups according to manganese (Mn) cumulative exposure index (Mn-CEI) levels: an internal control group (Mn-CEI <1.0 mg/m(3) year), a low exposure group (1.0 mg/m(3) year≤Mn-CEI<2.0 mg/m(3) year), a medium exposure group (2.0 mg/m(3) year≤Mn-CEI<5.0 mg/m(3) year) and a high exposure group (Mn-CEI≥5.0 mg/m(3) year). Genome-wide association studies of quantitative trait loci and binary trait loci in 500 Mn-exposed workers were performed using Illumina Infinium HumanExome BeadChip arrays. Stored plasma, DNA, hair and urine are available for further study. Participants will be followed up every 3 years. CONCLUSIONS: The GXMEWHC study provides abundant data for exploring the systemic health effects of occupational Mn exposure using biomarkers of exposure, disease and susceptibility.
27
Variance component model to account for sample structure in genome-wide association studies
Hyun Min Kang, Jae Hoon Sul, Susan K. Service et al. · Nature Genetics · 2010 · 3.1K citations · Full text
Assessment of autonomic dysfunction in Parkinson's disease: The SCOPA‐AUT
Martine Visser, Johan Marinus, Anne M. Stiggelbout et al. · Movement Disorders · 2004 · 837 citations
Optimal tests for rare variant effects in sequencing association studies
S. Lee, Michael C. Wu, Xinyi Lin · Biostatistics · 2012 · 745 citations · Full text