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Jonathan Flint

University Of California Los Angeles

$12,357,118
Attributed
$19,421,888
Total exposure
5
Grants
5
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 $4.3M · FY201825
$5M$3.8M$2.5M$1.3M$0
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$19,421,888 · 5

By mechanism

U01$10,298,941 · 2
R01$9,122,947 · 3

Top collaborators

Most similar at University Of California Los Angeles

Same institution · by research overlap

Others in their field

Other Emerging Leaders on “Mental Disorders

Research focus

Mental DisordersPhenotypeGeneticGenotypeMapsComorbidityPathway InteractionsBiologicalVariantGenesMoodsMajor Depressive DisorderGenetic StudyInterviewSamplingMental DepressionGenetic ArchitectureHeterogeneityResourcesDisabilityData SetInsightDiagnosisSignal Transduction

Grant awards (22)

Integrating genetic and circuit variation to identify genes involved in behaviors related to substance use disorder$705,965
U01 · FY2025 · DA · contact PI
Identifying the genetic causes of depression in a deeply phenotyped population from South Korea$693,090
U01 · FY2025 · MH · contact PI
Identifying the genetic causes of depression in a deeply phenotyped population from South Korea$554,066
U01 · FY2025 · MH · contact PI
Improving the interpretability of genetic studies of major depressive disorder to identify risk genes$546,550
R01 · FY2025 · MH · contact PI
Identifying the genetic causes of depression in a deeply phenotyped population from South Korea$2,361,154
U01 · FY2024 · MH · contact PI
Integrating genetic and circuit variation to identify genes involved in behaviors related to substance use disorder$694,219
U01 · FY2024 · DA · contact PI
Combining Voice and Genetic Information to Detect Heterogeneity in Major Depressive Disorder$667,757
R01 · FY2024 · MH · contact PI
Improving the interpretability of genetic studies of major depressive disorder to identify risk genes$548,172
R01 · FY2024 · MH · contact PI
Identifying the genetic causes of depression in a deeply phenotyped population from South Korea$1,892,866
U01 · FY2023 · MH · contact PI
Combining Voice and Genetic Information to Detect Heterogeneity in Major Depressive Disorder$667,757
R01 · FY2023 · MH · contact PI
Improving the interpretability of genetic studies of major depressive disorder to identify risk genes$549,904
R01 · FY2023 · MH · contact PI
Identifying the genetic causes of depression in a deeply phenotyped population from South Korea$1,628,438
U01 · FY2022 · MH · contact PI
Developing a Pathway from Genetic Locus to Gene for Complex Traits in Rodents$699,301
R01 · FY2022 · MH · contact PI
Combining Voice and Genetic Information to Detect Heterogeneity in Major Depressive Disorder$667,757
R01 · FY2022 · MH · contact PI
Improving the interpretability of genetic studies of major depressive disorder to identify risk genes$619,904
R01 · FY2022 · MH · contact PI
Identifying the genetic causes of depression in a deeply phenotyped population from South Korea$1,769,143
U01 · FY2021 · MH · contact PI
Developing a Pathway from Genetic Locus to Gene for Complex Traits in Rodents$710,209
R01 · FY2021 · MH · contact PI
Combining Voice and Genetic Information to Detect Heterogeneity in Major Depressive Disorder$667,757
R01 · FY2021 · MH · contact PI
Combining Voice and Genetic Information to Detect Heterogeneity in Major Depressive Disorder$733,478
R01 · FY2020 · MH · contact PI
Developing a Pathway from Genetic Locus to Gene for Complex Traits in Rodents$720,611
R01 · FY2020 · MH · contact PI
Developing a Pathway from Genetic Locus to Gene for Complex Traits in Rodents$604,898
R01 · FY2019 · MH · contact PI
Developing a Pathway from Genetic Locus to Gene for Complex Traits in Rodents$718,892
R01 · FY2018 · MH · contact PI