Workflow and normalization strategies employed on CHRIS epidemiological study for targeted metabolomics
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At: Metabolomics 2019 ; The Hague ; 23/06/2019 - 27/08/2019 ; Cooperative Health Research in South Tyrol (CHRIS) study1 is population-based project developed by EURAC Research together with South Tyrolean Health System in the region of South Tyrol, Italy. Located in the middle of the Alpine mountainous region, it has a very characteristic environment and life style. As a broad study, the CHRIS project intends to correlate genetic data collected from this population with clinical parameters and metabolomics data (targeted and untargeted) as a way to identify mechanisms underlying cardiovascular, metabolic, neurological and psychiatric health as well as to understand how these mechanisms can be influenced by the environment. The work stream is based on a consent sign, at first, followed by tremor assessment, blood drawing, urine collection (for clinical parameters evaluation only), anthropometric measurements, electrocardiographic analysis and blood pressure measurement. In the sequence, a computer assisted personal interview and a computer aided self-interview are conducted. Clinical measurements include antinuclear antibodies, cardiovascular and metabolic risk factors (C-reactive protein, fibrinogen and homocysteine), glucose, markers of iron metabolism, coagulation, renal damage and liver function, among many others. Samples are latter stored in a biobank, created specifically for the purpose of the project. Patients are then genotyped for around 1 million single nucleotide polymorphisms and serum samples are used for the acquisition of metabolomics data, both targeted and untargeted. This poster intends to present the approach employed for initial data quality assessment of the targeted data and the normalization strategies applied to correct inter batches variation.