← Leaderboards
Sara Lindstroem
University Of Washington
$9,043,861
Attributed
$10,545,420
Total exposure
9
Grants
7
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 $1.7M · FY2012–25$2M$1.5M$1M$500K$0
'12
'13
'14
'15
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
Funding mix
By agency
NIH$10,545,420 · 9
By mechanism
R01$6,443,763 · 4
U01$2,951,049 · 1
R21$802,730 · 2
R03$347,878 · 2
Top collaborators
- Peter Kraft4 shared
- Arjun Bhattacharya1 shared
- Brandon Lee Pierce1 shared
Most similar at University Of Washington
Same institution · by research overlap
- Beti Thompson$30,192,370
- Christoph I Lee$10,494,505
- Idan Shalev$4,047,201
- Shirley Aa Beresford$14,421,591
- Albert John Farias$120,388
Others in their field
Top investigators on “Genome Wide Association Study”
- David Heimbrook · Leidos Biomedical Research, Inc.$111,485,565
- James D Crapo · University Of Colorado Denver$80,593,932
- David A Bennett · Rush University Medical Center$78,184,796
- Michael A Province · Washington University$77,809,700
- Li-San Wang · University Of Pennsylvania$67,433,768
- Gerard David Schellenberg · University Of California San Diego$65,975,701
Research focus
Genome Wide Association StudyPhenotypeGeneticTissuesPathway InteractionsMalignant Breast NeoplasmGenetic VariantCancer RiskInsightBiologicalHeritabilityResourcesGenetic AssociationVariantGenome-WideMammographic DensityMalignant NeoplasmsBreastWomanFutureBreast Cancer Risk FactorStatistical MethodsRisk FactorsCancer Subtypes
Grant awards (25)
The impact of lifestyle and genetic factors on mammographic density in a cohort of Hispanic women$624,714
R01 · FY2025 · CA · contact PI
Characterizing cancer susceptibility mechanisms for TERT/CLPTM1L and other telomere-related regions$464,212
R01 · FY2025 · CA
The impact of lifestyle and genetic factors on mammographic density in a cohort of Hispanic women$588,093
R01 · FY2024 · CA · contact PI
Integration of genetic, gene expression and environmental data to inform biological basis of mammographic density$421,044
R01 · FY2024 · CA · contact PI
Alternative splicing and isoform expression as mediators for the genetic etiology of breast cancer$407,321
R21 · FY2024 · CA
The impact of lifestyle and genetic factors on mammographic density in a cohort of Hispanic women$603,499
R01 · FY2023 · CA · contact PI
Leveraging cross-cancer shared heritability to better understand the genetic architecture of cancer$494,993
U01 · FY2023 · CA · contact PI
Integration of genetic, gene expression and environmental data to inform biological basis of mammographic density$438,304
R01 · FY2023 · CA · contact PI
The impact of lifestyle and genetic factors on mammographic density in a cohort of Hispanic women$712,453
R01 · FY2022 · CA · contact PI
Leveraging cross-cancer shared heritability to better understand the genetic architecture of cancer$511,750
R01 · FY2022 · CA · contact PI
Integration of genetic, gene expression and environmental data to inform biological basis of mammographic density$449,797
R01 · FY2022 · CA · contact PI
Leveraging cross-cancer shared heritability to better understand the genetic architecture of cancer$531,968
R01 · FY2021 · CA · contact PI
Integration of genetic, gene expression and environmental data to inform biological basis of mammographic density$505,055
R01 · FY2021 · CA · contact PI
Leveraging cross-cancer shared heritability to better understand the genetic architecture of cancer$592,874
R01 · FY2020 · CA · contact PI
Quantifying and Characterizing the shared genetic contribution to common cancers$549,469
U01 · FY2019 · CA · contact PI
Quantifying and Characterizing the shared genetic contribution to common cancers$566,464
U01 · FY2017 · CA · contact PI
Quantifying and Characterizing the shared genetic contribution to common cancers$664,391
U01 · FY2016 · CA · contact PI
Quantifying and Characterizing the shared genetic contribution to common cancers$675,732
U01 · FY2015 · CA · contact PI
Prioritizing follow-up of GWAS loci using genetic and functional annotation data$119,914
R21 · FY2015 · CA · contact PI
Prioritizing follow-up of GWAS loci using genetic and functional annotation data$52,540
R21 · FY2015 · CA · contact PI
Prioritizing follow-up of GWAS loci using genetic and functional annotation data$222,955
R21 · FY2014 · CA · contact PI
The genetic architecture of breast cancer risk factors and breast cancer$85,515
R03 · FY2014 · CA · contact PI
The genetic architecture of breast cancer risk factors and breast cancer$88,114
R03 · FY2013 · CA · contact PI
GWAS on childhood body fatness as an intermediate phenotype of breast cancer$83,433
R03 · FY2013 · CA · contact PI
GWAS on childhood body fatness as an intermediate phenotype of breast cancer$90,816
R03 · FY2012 · CA · contact PI