ID
45817
Beschrijving
Principal Investigator: Lewis C. Becker, MD, Johns Hopkins University School of Medicine, Baltimore, MD, USA MeSH: Platelet Aggregation,Blood Physiological Phenomena,Cardiovascular Physiological Phenomena https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001074 The causal mechanisms of common diseases and their therapies have been only marginally illuminated by genetic variants identified in genome wide association studies (GWAS) utilizing single nucleotide polymorphism (SNPs). Platelet activation pathways reflecting hemostasis and thrombosis are the underlying substrate for many cardiovascular diseases and related acute events. To overcome GWAS limitations, genomic studies are needed that integrate molecular surrogates for platelet-related phenotypes assayed in cell-based models derived from individuals of known genotypes and phenotypes. In our GWAS study of native platelet aggregation phenotypes and aggregation in response to low dose aspirin in 2200 subjects (GeneSTAR, Genetic Study of Aspirin Responsiveness), important genome wide "signals" (p5x10-8) associated with native platelet aggregation and important "signals" associated with platelet responsiveness to aspirin were identified and replicated. Although we are currently performing functional genomics studies to elucidate our most promising findings in known genes (PEAR1, MET, PIKC3G), most "signals" occurred in intergenic regions or in introns. Mechanistic interpretation is limited by uncertainty as to which gene(s) are up- or down-regulated in the presence of most SNP modifications. In this 3 phase proposal, we will (1) create pluripotent stem cells (iPS) from peripheral blood mononuclear cells, and then differentiate these stem cells into megakaryocytes (2) develop an efficient strategy to produce iPS and megakaryocytes using a novel pooling method, and (3) produce iPS and megakaryocytes from 250 subjects in GeneSTAR (European Americans and African Americans), selected based on specific hypotheses derived from GWAS signals in native and post aspirin platelet function; characterize genetic mRNA transcripts using a comprehensive Affymetrix array; measure protein expression for transcripts of interest using mass spectrometry; examine mRNA and protein expression patterns for each GWAS signal to determine the functional pathway(s) involved in native platelet phenotypes; and examine the functional genomics of variations in responsiveness to aspirin using our prior genotyped and phenotyped population. Precise information about the exact functional processes in megakaryocytes and platelets may lead to innovative and tailored approaches to risk assessment and novel therapeutic targets to prevent first and recurrent cardiovascular and related thrombotic events.
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Versies (1)
- 29-06-23 29-06-23 - Simon Heim
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Lewis C. Becker, MD, Johns Hopkins University School of Medicine, Baltimore, MD, USA
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29 juni 2023
DOI
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Licentie
Creative Commons BY 4.0
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dbGaP phs001074 GeneSTAR NextGen Functional Genomics of Platelet Aggregation
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs and their consent group information.
- The pedigree table includes family ID, subject ID, father and mother ID, and subject gender, to link subjects of the same family.
- This subject sample mapping file contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use.
- The subject phenotype table includes age, sex, race, visit number, BMI, hypertension status (n=4 variables; self-reported, measured blood pressure, and medication), diabetic status (n=2 variables; glucose levels and medication), lipid measurements (n=4 variables; TC, TG, HDL, and LDL), cbc measurements (n=23 variables), whole blood measurements (n=22 variables; arachidonic acid, ADP/ATP, collagen/epineprhine/thromboxane B2, aggregation, all corrected for platelet counts), platelet rich plasma measurements (n=47 variables; arachidonic acid, ADP/ATP, collagen/epineprhine/thromboxane B2, aggregation, all corrected for platelet counts), urine measurements (n=1 variable; thromboxane B2 adjusted for urinary creatinine), and current smoking status.
- The sample attributes table includes body site where sample was collected, analyte type, tumor status, and genotyping center.
Similar models
Eligibility Criteria
- StudyEvent: SEV1
- Eligibility Criteria
- The subject consent file includes subject IDs and their consent group information.
- The pedigree table includes family ID, subject ID, father and mother ID, and subject gender, to link subjects of the same family.
- This subject sample mapping file contains a mapping of study subject IDs to sample IDs. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. The data table also includes sample use.
- The subject phenotype table includes age, sex, race, visit number, BMI, hypertension status (n=4 variables; self-reported, measured blood pressure, and medication), diabetic status (n=2 variables; glucose levels and medication), lipid measurements (n=4 variables; TC, TG, HDL, and LDL), cbc measurements (n=23 variables), whole blood measurements (n=22 variables; arachidonic acid, ADP/ATP, collagen/epineprhine/thromboxane B2, aggregation, all corrected for platelet counts), platelet rich plasma measurements (n=47 variables; arachidonic acid, ADP/ATP, collagen/epineprhine/thromboxane B2, aggregation, all corrected for platelet counts), urine measurements (n=1 variable; thromboxane B2 adjusted for urinary creatinine), and current smoking status.
- The sample attributes table includes body site where sample was collected, analyte type, tumor status, and genotyping center.
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