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Jirong Long

Vanderbilt University Medical Center

$13,192,560
Attributed
$23,853,895
Total exposure
9
Grants
4
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 $3.1M · FY200925
$5M$3.8M$2.5M$1.3M$0
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25

Funding mix

By agency

NIH$23,853,895 · 9

By mechanism

R01$23,696,895 · 8
R03$157,000 · 1

Top collaborators

Most similar at Vanderbilt University Medical Center

Same institution · by research overlap

Others in their field

Top investigators on “Play

Research focus

PlayGenesGenome Wide Association StudySamplingGeneticBiologicalCostCancer RiskEuropeanMalignant Breast NeoplasmGenetic VariantIn VitroMalignant NeoplasmsWomanGenomicsGenotypeCancer BiologyCost EfficientVariantBreast Cancer GeneticsResourcesTranslatingDisorder PreventionAsia

Grant awards (43)

Identification of proteins for breast cancer risk: an integrative epidemiologic and genomic study$722,627
R01 · FY2025 · CA · contact PI
Individual and social contextual factors in relation to DNA methylation, biological aging, and lung cancer risk$700,142
R01 · FY2025 · MD
Identification of Genes and DNA Methylation Markers for Lung Cancer Risk by Integrating Multi-omics Data$671,454
R01 · FY2025 · CA
DNA Methylation Markers, Genes and Breast Cancer Risk$653,720
R01 · FY2025 · CA · contact PI
Identification of proteins for breast cancer risk: an integrative epidemiologic and genomic study$734,785
R01 · FY2024 · CA · contact PI
Individual and social contextual factors in relation to DNA methylation, biological aging, and lung cancer risk$683,816
R01 · FY2024 · MD
Identification of Genes and DNA Methylation Markers for Lung Cancer Risk by Integrating Multi-omics Data$646,885
R01 · FY2024 · CA
DNA Methylation Markers, Genes and Breast Cancer Risk$627,857
R01 · FY2024 · CA · contact PI
Integrating genomic and transcriptomic data to identify breast cancer susceptibility genes$456,319
R01 · FY2024 · CA
Integrating genomic and transcriptomic data to identify breast cancer susceptibility genes$663,159
R01 · FY2023 · CA
DNA Methylation Markers, Genes and Breast Cancer Risk$656,463
R01 · FY2023 · CA · contact PI
Identification of Genes and DNA Methylation Markers for Lung Cancer Risk by Integrating Multi-omics Data$651,010
R01 · FY2023 · CA
Individual and social contextual factors in relation to DNA methylation, biological aging, and lung cancer risk$647,326
R01 · FY2023 · MD
Identification of Genes and DNA Methylation Markers for Lung Cancer Risk by Integrating Multi-omics Data$675,718
R01 · FY2022 · CA
Integrating genomic and transcriptomic data to identify breast cancer susceptibility genes$661,923
R01 · FY2022 · CA
Individual and social contextual factors in relation to DNA methylation, biological aging, and lung cancer risk$652,725
R01 · FY2022 · MD
DNA Methylation Markers, Genes and Breast Cancer Risk$639,653
R01 · FY2022 · CA · contact PI
DNA Methylation Markers, Genes and Breast Cancer Risk$124,999
R01 · FY2022 · CA · contact PI
Identification of Genes and DNA Methylation Markers for Lung Cancer Risk by Integrating Multi-omics Data$732,586
R01 · FY2021 · CA
DNA Methylation Markers, Genes and Breast Cancer Risk$655,238
R01 · FY2021 · CA · contact PI
Individual and social contextual factors in relation to DNA methylation, biological aging, and lung cancer risk$647,413
R01 · FY2021 · MD
Integrating genomic and transcriptomic data to identify breast cancer susceptibility genes$200,249
R01 · FY2021 · CA
Integrating genomic and transcriptomic data to identify breast cancer susceptibility genes$677,537
R01 · FY2020 · CA
Integrating genomic and transcriptomic data to identify breast cancer susceptibility genes$682,224
R01 · FY2019 · CA
Colorectal cancer risk loci: GWAS, fine-mapping, and functional analysis$630,205
R01 · FY2018 · CA
Colorectal cancer risk loci: GWAS, fine-mapping, and functional analysis$637,418
R01 · FY2017 · CA
Colorectal cancer risk loci: GWAS, fine-mapping, and functional analysis$647,626
R01 · FY2016 · CA
Consortium Study to Identify Breast Cancer Susceptibility Loci$655,819
R01 · FY2015 · CA
Colorectal cancer risk loci: GWAS, fine-mapping, and functional analysis$382,136
R01 · FY2015 · CA
Colorectal cancer risk loci: GWAS, fine-mapping, and functional analysis$222,898
R01 · FY2015 · CA
Searching for new risk variants in known breast cancer risk loci in Asians$49,629
R03 · FY2015 · CA · contact PI
Searching for new risk variants in known breast cancer risk loci in Asians$28,871
R03 · FY2015 · CA · contact PI
Consortium Study to Identify Breast Cancer Susceptibility Loci$622,479
R01 · FY2014 · CA
Colorectal cancer risk loci: GWAS, fine-mapping, and functional analysis$606,592
R01 · FY2014 · CA
Searching for new risk variants in known breast cancer risk loci in Asians$78,500
R03 · FY2014 · CA · contact PI
Consortium Study to Identify Breast Cancer Susceptibility Loci$604,723
R01 · FY2013 · CA
Consortium Study to Identify Breast Cancer Susceptibility Loci$645,414
R01 · FY2012 · CA
Genome-wide Copy Number Variation and Breast Cancer Risk$561,690
R01 · FY2012 · CA · contact PI
Consortium Study to Identify Breast Cancer Susceptibility Loci$156,000
R01 · FY2012 · CA
Consortium Study to Identify Breast Cancer Susceptibility Loci$645,532
R01 · FY2011 · CA
Genome-wide Copy Number Variation and Breast Cancer Risk$596,660
R01 · FY2011 · CA · contact PI
Genome-wide Copy Number Variation and Breast Cancer Risk$622,281
R01 · FY2010 · CA · contact PI
Genome-wide Copy Number Variation and Breast Cancer Risk$593,594
R01 · FY2009 · CA · contact PI