S. Lindstrom

发表

Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants

Jane E. Carpenter, Jaana M. Hartikainen, Sandra L. Halverson, 2015, JNCI Journal of the National Cancer Institute.

Partitioning heritability by functional annotation using genome-wide association summary statistics

Yakir A Reshef, M. Daly, N. Patterson, 2015, Nature Genetics.

A meta-analysis of 87,040 individuals identifies 23 new susceptibility loci for prostate cancer

Peter Kraft, Jenny Donovan, Anssi Auvinen, 2014, Nature Genetics.

Integrating Functional Data to Prioritize Causal Variants in Statistical Fine-Mapping Studies

E. Eskin, F. Hormozdiari, A. Price, 2014, PLoS genetics.

Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci

K. D. Sørensen, H. Ostrer, T. Sellers, 2018, Nature Genetics.

Identification of Novel Genetic Markers of Breast Cancer Survival

Peter Kraft, Nazneen Rahman, Janet A. Dunn, 2015, Journal of the National Cancer Institute.

PALB2,CHEK2 and ATM rare variants and cancer risk: Data from COGS

Dong Liang, Jane E. Carpenter, Peter Kraft, 2016 .

Meta‐Analysis of Rare Variant Association Tests in Multiethnic Populations

A. Price, B. Henderson, C. Haiman, 2016, Genetic epidemiology.

Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants

Nawaid Usmani, Suzanne Chambers, Martin Eklund, 2018, Nature Communications.

Investigating the genetic relationship between Alzheimer’s disease and cancer using GWAS summary statistics

Jean B. Cormack, L. Liang, Y. Feng, 2017, Human Genetics.

Risk of Late-Onset Breast Cancer in Genetically Predisposed Women

James M. Hodge, Jack A. Taylor, C. Vachon, 2021, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Genomic and Transcriptomic Association Studies Identify 16 Novel Susceptibility Loci for Venous Thromboembolism.

Sebastian M. Armasu, Andrew D. Johnson, James W. MacDonald, 2019, Blood.

Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33.

William Wheeler, Hideo Tanaka, Jianxin Shi, 2014, Human molecular genetics.

ABO blood group alleles and prostate cancer risk: Results from the breast and prostate cancer cohort consortium (BPC3)

R. Hoover, D. Hunter, A. Tjønneland, 2015, The Prostate.

Genetic variation in the toll‐like receptor 4 and prostate cancer incidence and mortality

P. Kraft, R. Tamimi, M. Stampfer, 2012, The Prostate.

Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study

Suzanne Chambers, Peter Kraft, Henrik Gronberg, 2011, Nature Genetics.

Identiﬁcation of four novel susceptibility loci for oestrogen receptor negative breast cancer

Nussbaum, S. Cross, P. Fasching, 2016 .

Fine-mapping identifies two additional susceptibility 9q31.2.

S. Cross, A. Ashworth, A. Børresen-Dale, 2015 .

Partitioning heritability by functional category using GWAS summary statistics

Han Xu, Stephan Ripke, Alkes L. Price, 2015, bioRxiv.

Genomic analyses identify hundreds of variants associated with age at menarche and 1 support a role for puberty timing in cancer risk 2

Maristella, E. Demerath, Toshiko Tanaka, 2017 .

Genome-wide association study identifies new prostate cancer susceptibility loci.

M. Thun, H. Grönberg, R. Hayes, 2011, Human molecular genetics.

Confirmation of 5p12 As a Susceptibility Locus for Progesterone-Receptor–Positive, Lower Grade Breast Cancer

S. Cross, M. Beckmann, P. Fasching, 2011, Cancer Epidemiology, Biomarkers & Prevention.

Investigating the genetic relationship between Alzheimer’s disease and cancer using GWAS summary statistics

Jean B. Cormack, L. Liang, Y. Feng, 2017, Human Genetics.

Efficient cross-trait penalized regression increases prediction accuracy in large cohorts using secondary phenotypes

Jun Chen, Wonil Chung, Peter Kraft, 2019, Nature Communications.

Identification of a novel susceptibility locus at 13q34 and refinement of the 20p12.2 region as a multi-signal locus associated with bladder cancer risk in individuals of European ancestry.

Zhaoming, Jack A. Taylor, L. Kiemeney, 2016, Human molecular genetics.

Common germline polymorphisms associated with breast cancer-specific survival

Jaana M. Hartikainen, W. Willett, S. Cross, 2015, Breast Cancer Research.

Germline Pathogenic Variants in Cancer Predisposition Genes Among Women With Invasive Lobular Carcinoma of the Breast

Jack A. Taylor, C. Vachon, J. Olson, 2021, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types.

Peter Kraft, Todd L Edwards, Nazneen Rahman, 2016, Cancer discovery.

A genome-wide pleiotropy scan for prostate cancer risk.

E. Riboli, S. Chanock, R. Hoover, 2015, European urology.

Stroke genetics informs drug discovery and risk prediction across ancestries

Stephen R. Williams, Yan V. Sun, Y. J. Kim, 2022 .

Genomic analyses for age at menarche identify 389 independent signals and indicate BMI-independent effects of puberty timing on cancer susceptibility

E. Demerath, Toshiko Tanaka, K. Lunetta, 2016, bioRxiv.

A common variant at the TERT-CLPTM1L locus is associated with estrogen receptor–negative breast cancer

Jane E. Carpenter, Peter Kraft, Gary K. Chen, 2011, Nature Genetics.

Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

Patrick Neven, Peter Kraft, Nazneen Rahman, 2015 .

Genome-wide association studies identify four ER negative–specific breast cancer risk loci

Patrick Neven, Michael Jones, Wei Lu, 2013, Nature Genetics.

Androgen Receptor CAG Repeat Polymorphism and Risk of TMPRSS2:ERG–Positive Prostate Cancer

M. Loda, P. Kantoff, P. Kraft, 2014, Cancer Epidemiology, Biomarkers & Prevention.

Androgen Receptor CAG Repeat Polymorphism and Risk of TMPRSS2:ERG–Positive Prostate Cancer

M. Loda, P. Kantoff, P. Kraft, 2014, Cancer Epidemiology, Biomarkers & Prevention.

The 19q12 bladder cancer GWAS signal: association with cyclin E function and aggressive disease.

M. Pike, J. Chang-Claude, E. Riboli, 2014, Cancer research.

Integration of multiethnic fine-mapping and genomic annotation to prioritize candidate functional SNPs at prostate cancer susceptibility regions.

Henry W. Long, Dennis J. Hazelett, M. C. Leske, 2015, Human molecular genetics.

A genome-wide association study of mammographic texture variation

C. Vachon, P. Kraft, R. Tamimi, 2022, Breast Cancer Research.

Telomere structure and maintenance gene variants and risk of five cancer types

J. Witte, C. Ulrich, T. Sellers, 2016, International journal of cancer.

Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction

K. D. Sørensen, Ali Amin Al Olama, Lilit C Moss, 2021, Nature Genetics.

Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction

K. D. Sørensen, Ali Amin Al Olama, Lilit C Moss, 2021, Nature genetics.

COMPLEXO: identifying the missing heritability of breast cancer via next generation collaboration

Peter Kraft, Mads Thomassen, Daniel J. Park, 2013, Breast Cancer Research.

Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for Thirteen Cancer Types.

Jian Su, Wen Tan, Paolo Vineis, 2015, Journal of the National Cancer Institute.

Genome-wide association study identifies multiple loci associated with bladder cancer risk.

William Wheeler, Paolo Vineis, Peter Kraft, 2014, Human molecular genetics.

Height and Breast Cancer Risk: Evidence From Prospective Studies and Mendelian Randomization.

Jaana M. Hartikainen, A. Whittemore, S. Cross, 2015, Journal of the National Cancer Institute.

Circadian clock genes and risk of fatal prostate cancer

Jennifer R. Rider, V. Gudnason, S. Haneuse, 2014, Cancer Causes & Control.

Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer

Jane E. Carpenter, A. Whittemore, W. Chung, 2016, Nature Communications.

Identification of 23 new prostate cancer susceptibility loci using the iCOGS custom genotyping array

Peter Kraft, Anssi Auvinen, Henrik Gronberg, 2013, Nature Genetics.

Fine-mapping identifies multiple prostate cancer risk loci at 5p15, one of which associates with TERT expression

Peter Kraft, Elaine A. Ostrander, Henrik Gronberg, 2013, Human molecular genetics.

P. Kraft, R. Tamimi, M. Stampfer, 2012, Journal of the National Cancer Institute.

Fine-mapping of prostate cancer susceptibility loci in a large meta-analysis identifies candidate causal variants

K. D. Sørensen, Ali Amin Al Olama, H. Ostrer, 2018, Nature Communications.

Fine-Mapping the HOXB Region Detects Common Variants Tagging a Rare Coding Allele: Evidence for Synthetic Association in Prostate Cancer

D. Schaid, H. Brenner, R. Hayes, 2014, PLoS genetics.

A meta-analysis of genome-wide association studies to identify prostate cancer susceptibility loci associated with aggressive and non-aggressive disease.

Suzanne Chambers, Peter Kraft, Anssi Auvinen, 2013, Human molecular genetics.

Interleukin-6 Signaling Effects on Ischemic Stroke and Other Cardiovascular Outcomes

Sebastian M. Armasu, Andrew D. Johnson, James W. MacDonald, 2019, Circulation. Genomic and precision medicine.

Fine-mapping identifies two additional breast cancer susceptibility loci at 9q31.2

Jaana M. Hartikainen, S. Cross, M. Beckmann, 2015, Human molecular genetics.

Novel Associations between Common Breast Cancer Susceptibility Variants and Risk-Predicting Mammographic Density Measures.

Kaanan P. Shah, K. Heusinger, M. Beckmann, 2015, Cancer research.

Genome-wide interaction study of smoking and bladder cancer risk.

William Wheeler, Paolo Vineis, Peter Kraft, 2014, Carcinogenesis.

Characterizing Associations and SNP-Environment Interactions for GWAS-Identified Prostate Cancer Risk Markers—Results from BPC3

Peter Kraft, Jing Ma, Mattias Johansson, 2011, PloS one.

Prediagnostic Body-mass Index, Smoking and Prostate Cancer Survival: A Cohort Consortium Study of Over 10,000 White Men with Prostate Cancer

W. Willett, B. Rosner, A. Kibel, 2015, Cancer Epidemiology, Biomarkers & Prevention.

Circadian clock genes and risk of fatal prostate cancer

Jennifer R. Rider, V. Gudnason, S. Haneuse, 2014, Cancer Causes & Control.

Author Correction: Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci

K. D. Sørensen, Ali Amin Al Olama, H. Ostrer, 2019, Nature Genetics.

Addition of a polygenic risk score, mammographic density, and endogenous hormones to existing breast cancer risk prediction models: A nested case–control study

W. Willett, G. Colditz, B. Rosner, 2018, PLoS medicine.

Identification of a novel percent mammographic density locus at 12q24.

David N. Rider, A. Paterson, R. Vierkant, 2012, Human molecular genetics.

Association of genetic susceptibility variants for type 2 diabetes with breast cancer risk in women of European ancestry

A. Whittemore, S. Cross, M. Beckmann, 2016, Cancer Causes & Control.

Interactions between genome-wide significant genetic variants and circulating concentrations of insulin-like growth factor 1, sex hormones, and binding proteins in relation to prostate cancer risk in the National Cancer Institute Breast and Prostate Cancer Cohort Consortium.

R. Hayes, E. Riboli, S. Chanock, 2012, American journal of epidemiology.

Genetic variants associated with circulating C‐reactive protein levels and colorectal cancer survival: Sex‐specific and lifestyle factors specific associations

James Y. Dai, J. Chang-Claude, M. Hoffmeister, 2021, International journal of cancer.

Function and Aggressive Disease The 19 q 12 Bladder Cancer GWAS Signal : Association with Cyclin E Updated

Laurie, M. Pike, D. V. Berg, 2014 .

NHLBI-CMREF Workshop Report on Pulmonary Vascular Disease Classification: JACC State-of-the-Art Review.

F. Cheng, J. Loscalzo, M. Cho, 2021, Journal of the American College of Cardiology.

Metabolomic analysis of 92 pulmonary embolism patients from a nested case–control study identifies metabolites associated with adverse clinical outcomes

P. Kraft, S. Lindstrom, J. Lasky-Su, 2018, Journal of thrombosis and haemostasis : JTH.

Polygenic risk scores point toward potential genetic mechanisms of type 2 myocardial infarction in people with HIV.

J. Björkegren, P. Crane, S. Lindstrom, 2023, International journal of cardiology.

Author Correction: Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci

K. D. Sørensen, Ali Amin Al Olama, H. Ostrer, 2019, Nature Genetics.

StocSum: stochastic summary statistics for whole genome sequencing studies

E. Boerwinkle, S. Lindstrom, G. Jun, 2023, bioRxiv.

Evaluation of SNPs associated with mammographic density in European women with mammographic density in Asian women from South-East Asia

Jingmei Li, P. Hall, D. Easton, 2023, Breast Cancer Research and Treatment.

Breast Cancer Screening Strategies for Women With ATM, CHEK2, and PALB2 Pathogenic Variants: A Comparative Modeling Analysis.

James M. Hodge, Jack A. Taylor, E. Burnside, 2022, JAMA oncology.

ENIGMA CHEK2gether Project: A Comprehensive Study Identifies Functionally Impaired CHEK2 Germline Missense Variants Associated with Increased Breast Cancer Risk

James M. Hodge, E. Burnside, Y. Kamatani, 2023, Clinical cancer research : an official journal of the American Association for Cancer Research.

PALB2,CHEK2 and ATM rare variants and cancer risk: Data from COGS

Jane E. Carpenter, Lara E Sucheston-Campbell, Ali Amin Al Olama, 2016 .

PALB2, CHEK2 and ATM rare variants and cancer risk: data from COGS

Jane E. Carpenter, Lara E Sucheston-Campbell, A. Whittemore, 2016, Journal of Medical Genetics.

Androgen Receptor Cag Repeat Polymorphism and Risk of Tmprss2:erg Positive Prostate Cancer

M. Loda, P. Kantoff, M. Stampfer, 2014 .

Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types.

A. Whittemore, L. Kiemeney, M. Pike, 2016, Cancer discovery.

Imputation and subset-based association analysis across different cancer types identifies multiple independent risk loci in the TERT-CLPTM1L region on chromosome 5p15.33.

David M. Thomas, Krista A. Zanetti, Geoffrey S. Tobias, 2014, Human molecular genetics.

American Journal of Epidemiology Original Contribution Interactions between Genome-wide Significant Genetic Variants and Circulating Concentrations of Insulin-like Growth Factor 1, Sex Hormones, and Binding Proteins in Relation to Prostate Cancer Risk in the National Cancer Institute Breast and Pros

R. Hayes, S. Chanock, A. Tjønneland, 2022 .

Publisher Correction: Stroke genetics informs drug discovery and risk prediction across ancestries

Sebastian M. Armasu, Andrew D. Johnson, Stephen R. Williams, 2022, Nature.

Stroke genetics informs drug discovery and risk prediction across ancestries

Sebastian M. Armasu, Laurent F. Thomas, J. Danesh, 2022, Nature.

Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk

E. Demerath, K. Lunetta, J. Murabito, 2017, Nature Genetics.

Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

Jaana M. Hartikainen, Sandra L. Halverson, A. Whittemore, 2015, Nature Genetics.

Meta‐Analysis of Rare Variant Association Tests in Multiethnic Populations

C. Haiman, L. Marchand, P. Kraft, 2016, Genetic epidemiology.

Transcriptome-wide association study and Mendelian randomization in pancreatic cancer identifies susceptibility genes and causal relationships with type 2 diabetes and venous thromboembolism

Sebastian M. Armasu, D. Chasman, M. Germain, 2024, EBioMedicine.

Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants

K. D. Sørensen, Jacob M. Keaton, R. Mägi, 2023, Nature Genetics.