DR13 DataRelease

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:
ProgramContract
Human Immunology Project Consortium 1 (HIPC1) Vaccination and infection: indicators of immunological health and responsiveness
DOI: 10.21430/M3M6BADC48
Subjects: 74
Study PI, contact:
NameOrganizationSite
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 TypeNumber 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:
ProgramContract
Human Immunology Project Consortium 1 (HIPC1) Vaccination and infection: indicators of immunological health and responsiveness
DOI: 10.21430/M3RDGZH60O
Subjects: 84
Study PI, contact:
NameOrganizationSite
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 TypeNumber 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:
ProgramContract
Human Immunology Project Consortium 1 (HIPC1) Vaccination and infection: indicators of immunological health and responsiveness
DOI: 10.21430/M3TI6PGH9Q
Subjects: 63
Study PI, contact:
NameOrganizationSite
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 TypeNumber of Exp. Samples
CyTOF 127
Flow Cytometry 432
Hemagglutination Inhibition 118
Luminex xMAP 396
Clinical Assessments:None
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