DR13 DataRelease

Release Date: 03/01/2015

SDY514: Monozygotic and Dizygotic Twin Pair T-Cell Responses to Influenza Vaccination 2009
Status:	New
Description:	Evaluate the variation in immune response between individuals and assess whether it changes as a function of age and similarity in genetic and environmental background (by comparing differences between monozygotic and dizygotic twin pairs of different ages).
Program/Contract:	Program Contract Human Immunology Project Consortium 1 (HIPC1) Vaccination and infection: indicators of immunological health and responsiveness
DOI:	10.21430/M3M6BADC48
Subjects:	74
Study PI, contact:	Name Organization Site Mark Davis Stanford University Stanford-LPCH Vaccine Program
Publications:	Variation in the human immune system is largely driven by non-heritable influences.. Cell. Jan 2015. doi: 10.1016/j.cell.2014.12.020. [Pubmed: 25594173]
Resources:	Brodin Lab.github Twin data visualization http://brodinlab.github.io/Twin_data_visualization/biocells.html] clinicaltrials.gov https://clinicaltrials.gov/ct2/show/NCT01987349]
Assays:	Assay Type Number of Exp. Samples Flow Cytometry 991 Hemagglutination Inhibition 150 Luminex xMAP 613
Clinical Assessments:	None

SDY515: Monozygotic and Dizygotic Twin Pair T-Cell Responses to Influenza Vaccination 2010
Status:	New
Description:	Evaluate the variation in immune response between individuals and assess whether it changes as a function of age and similarity in genetic and environmental background (by comparing differences between monozygotic and dizygotic twin pairs of different ages).
Program/Contract:	Program Contract Human Immunology Project Consortium 1 (HIPC1) Vaccination and infection: indicators of immunological health and responsiveness
DOI:	10.21430/M3RDGZH60O
Subjects:	84
Study PI, contact:	Name Organization Site Mark Davis Stanford University Stanford-LPCH Vaccine Program
Publications:	Variation in the human immune system is largely driven by non-heritable influences.. Cell. Jan 2015. doi: 10.1016/j.cell.2014.12.020. [Pubmed: 25594173]
Resources:	Brodin Lab.github Twin data visualization http://brodinlab.github.io/Twin_data_visualization/biocells.html] clinicaltrials.gov https://clinicaltrials.gov/ct2/show/NCT03022396]
Assays:	Assay Type Number of Exp. Samples CyTOF 88 Flow Cytometry 400 Hemagglutination Inhibition 156 Luminex xMAP 523
Clinical Assessments:	None

SDY519: Monozygotic and Dizygotic Twin Pair T-Cell Responses to Influenza Vaccination 2011
Status:	New
Description:	Evaluate the variation in immune response between individuals and assess whether it changes as a function of age and similarity in genetic and environmental background (by comparing differences between monozygotic and dizygotic twin pairs of different ages).
Program/Contract:	Program Contract Human Immunology Project Consortium 1 (HIPC1) Vaccination and infection: indicators of immunological health and responsiveness
DOI:	10.21430/M3TI6PGH9Q
Subjects:	63
Study PI, contact:	Name Organization Site Mark Davis Stanford University Stanford-LPCH Vaccine Program
Publications:	Variation in the human immune system is largely driven by non-heritable influences.. Cell. Jan 2015. doi: 10.1016/j.cell.2014.12.020. [Pubmed: 25594173]
Resources:	Brodin Lab.github Twin data visualization http://brodinlab.github.io/Twin_data_visualization/biocells.html] clinicaltrials.gov https://clinicaltrials.gov/ct2/show/NCT03022422]
Assays:	Assay Type Number of Exp. Samples CyTOF 127 Flow Cytometry 432 Hemagglutination Inhibition 118 Luminex xMAP 396
Clinical Assessments:	None