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Sergio E Baranzini

University Of California, San Francisco

$4,661,297
Attributed
$7,086,127
Total exposure
3
Grants
2
Lead (contact PI)

Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.

Funding over time

peak $1.3M · FY201424
$2M$1.5M$1M$500K$0
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24

Funding mix

By agency

NIH$7,086,127 · 3

By mechanism

R01$4,143,108 · 2
OT2$2,943,019 · 1

Top collaborators

Most similar at University Of California, San Francisco

Same institution · by research overlap

Others in their field

Top investigators on “Cohort

Research focus

CohortData SetPathway InteractionsResourcesPlayProgramsMeta-AnalysisInflammatoryMultiple SclerosisGenesGenotypeGenome Wide Association StudyCellsBenignGeneticInnovationDatabasesBioinformaticsCentral Nervous System DiseasesDisabilityDisorder RiskFutureGenome-WideAffect

Grant awards (14)

EVIDARA: Automated Evidential Support from Raw Data for relay agents in Biomedical KG Queries$543,957
OT2 · FY2024 · TR
EVIDARA: Automated Evidential Support from Raw Data for relay agents in Biomedical KG Queries$532,891
OT2 · FY2023 · TR
EVIDARA: Automated Evidential Support from Raw Data for relay agents in Biomedical KG Queries$532,891
OT2 · FY2022 · TR
The genetic basis of progression in multiple sclerosis$442,759
R01 · FY2021 · NS · contact PI
EVIDARA: Automated Evidential Support from Raw Data for relay agents in Biomedical KG Queries$437,326
OT2 · FY2021 · TR
EVIDARA: Automated Evidential Support from Raw Data for relay agents in Biomedical KG Queries$895,954
OT2 · FY2020 · TR
The genetic basis of progression in multiple sclerosis$442,964
R01 · FY2020 · NS · contact PI
The genetic basis of progression in multiple sclerosis$504,645
R01 · FY2018 · NS · contact PI
Post GWAS approach to identify cell-specific genetic pathways underlying MS risk$402,297
R01 · FY2018 · NS · contact PI
The genetic basis of progression in multiple sclerosis$516,273
R01 · FY2017 · NS · contact PI
Post GWAS approach to identify cell-specific genetic pathways underlying MS risk$407,247
R01 · FY2017 · NS · contact PI
Post GWAS approach to identify cell-specific genetic pathways underlying MS risk$410,547
R01 · FY2016 · NS · contact PI
Post GWAS approach to identify cell-specific genetic pathways underlying MS risk$511,329
R01 · FY2015 · NS · contact PI
Post GWAS approach to identify cell-specific genetic pathways underlying MS risk$505,047
R01 · FY2014 · NS · contact PI