Henrik Grönberg

发表

A support vector machine approach for detecting gene‐gene interaction

Shyh-Huei Chen, Jianfeng Xu, Jielin Sun, 2008, Genetic epidemiology.

Using deep learning to detect patients at risk for prostate cancer despite benign biopsies pdf

Martin Eklund, Johan Lindberg, Mattias Rantalainen, 2021, ArXiv.

Transcriptome-wide prediction of prostate cancer gene expression from histopathology images using co-expression-based convolutional neural networks pdf

Martin Eklund, Johan Lindberg, Mattias Rantalainen, 2021, Bioinform..

Fine mapping of a region of chromosome 11q13 reveals multiple independent loci associated with risk of prostate cancer.

Peter Kraft, Nilanjan Chatterjee, Fredrik Wiklund, 2011, Human molecular genetics.

Second primary cancers in men with prostate cancer: an increased risk of male breast cancer.

Henrik Grönberg, H. Grönberg, B. Malmer, 2003, The Journal of urology.

Mutation screening of fumarate hydratase by multiplex ligation-dependent probe amplification: detection of exonic deletion in a patient with leiomyomatosis and renal cell cancer.

Stephen B Gruber, Kristiina Aittomäki, Charis Eng, 2008, Cancer genetics and cytogenetics.

The European Parliament proposal for the new EU General Data Protection Regulation may severely restrict European epidemiological research

Henrik Grönberg, Magnus Stenbeck, H. Grönberg, 2014, European Journal of Epidemiology.

Cumulative association of five genetic variants with prostate cancer.

Pär Stattin, Fredrik Wiklund, Jianfeng Xu, 2008, The New England journal of medicine.

Body mass index in relation to serum prostate‐specific antigen levels and prostate cancer risk

Fredrik Wiklund, Henrik Grönberg, Arvid Sjölander, 2016, International journal of cancer.

The mitochondrial and autosomal mutation landscapes of prostate cancer.

Johan Lindberg, Fredrik Wiklund, Jianfeng Xu, 2013, European urology.

Inherited genetic markers discovered to date are able to identify a significant number of men at considerably elevated risk for prostate cancer

Fredrik Wiklund, Jianfeng Xu, Jielin Sun, 2011, The Prostate.

Association of a germ-line copy number variation at 2p24.3 and risk for aggressive prostate cancer.

Pär Stattin, Fredrik Wiklund, Jianfeng Xu, 2009, Cancer research.

Polygenic risk score improves prostate cancer risk prediction: results from the Stockholm-1 cohort study.

Martin Eklund, Fredrik Wiklund, Jianfeng Xu, 2011, European urology.

FTO genotype is associated with phenotypic variability of body mass index

Joel Eriksson, Joseph E. Powell, Andres Metspalu, 2012, Nature.

The Stockholm-3 Model for Prostate Cancer Detection: Algorithm Update, Biomarker Contribution, and Reflex Test Potential.

Martin Eklund, Tobias Nordström, Henrik Grönberg, 2018, European urology.

Prostate-specific antigen (PSA) density in the diagnostic algorithm of prostate cancer

Martin Eklund, Tobias Nordström, Olof Akre, 2017, Prostate Cancer and Prostatic Diseases.

Blood Biomarker Levels to Aid Discovery of Cancer-Related Single-Nucleotide Polymorphisms: Kallikreins and Prostate Cancer

Andrew J. Vickers, Pär Stattin, Fredrik Wiklund, 2010, Cancer Prevention Research.

Molecular Differences between Screen-Detected and Interval Breast Cancers Are Largely Explained by PAM50 Subtypes

Johan Lindberg, Kamila Czene, Mattias Rantalainen, 2016, Clinical Cancer Research.

A population based cohort study of patients with multiple colon and endometrial cancer: Correlation of microsatellite instability (msi) status, age at diagnosis and cancer risk

Henrik Grönberg, H. Grönberg, M. Emanuelsson, 2001, International journal of cancer.

Prostate cancer screening in men aged 50-69 years (STHLM3): a prospective population-based diagnostic study.

Martin Eklund, Johan Lindberg, Fredrik Wiklund, 2015, The Lancet. Oncology.

The Stockholm-3 (STHLM3) Model can Improve Prostate Cancer Diagnostics in Men Aged 50-69 yr Compared with Current Prostate Cancer Testing.

Martin Eklund, Johan Lindberg, Fredrik Wiklund, 2016, European urology focus.

Cross-Cancer Genome-Wide Analysis of Lung, Ovary, Breast, Prostate, and Colorectal Cancer Reveals Novel Pleiotropic Associations.

Steven Gallinger, Peter Kraft, Nazneen Rahman, 2016, Cancer research.

Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture

Christian Gieger, Jianxin Shi, Inês Barroso, 2013, Nature Genetics.

NordicDB: a Nordic pool and portal for genome-wide control data

Päivi Rosenström, Juni Palmgren, Leena Peltonen, 2010, European Journal of Human Genetics.

H6D polymorphism in macrophage-inhibitory cytokine-1 gene associated with prostate cancer.

Pär Stattin, Fredrik Wiklund, Jianfeng Xu, 2004, Journal of the National Cancer Institute.

Genetic Variants in the LEPR, CRY1, RNASEL, IL4, and ARVCF Genes Are Prognostic Markers of Prostate Cancer-Specific Mortality

Pär Stattin, Elaine A. Ostrander, Fredrik Wiklund, 2011, Cancer Epidemiology, Biomarkers & Prevention.

The mutational landscape of prostate cancer.

Jun Luo, Henrik Grönberg, Tapio Visakorpi, 2013, European urology.

Prostate cancer epidemiology

Henrik Grönberg, H. Grönberg, 2003, The Lancet.

Inflammation in prostate carcinogenesis

Jianfeng Xu, Henrik Grönberg, Charles G. Drake, 2007, Nature Reviews Cancer.

Sequence variants at 22q13 are associated with prostate cancer risk.

Jin Woo Kim, Pär Stattin, Fredrik Wiklund, 2009, Cancer research.

Prostate-specific antigen (PSA) testing is prevalent and increasing in Stockholm County, Sweden, Despite no recommendations for PSA screening: results from a population-based study, 2003-2011.

Tobias Nordström, Henrik Grönberg, H. Grönberg, 2013, European urology.

Evaluation of Exome Sequencing to Estimate Tumor Burden in Plasma

Johan Lindberg, Kamila Czene, Per Hall, 2014, PloS one.

Analysis of lipid pathway genes indicates association of sequence variation near SREBF1/TOM1L2/ATPAF2 with dementia risk.

Andrey Alexeyenko, Fredrik Wiklund, Bo Malmberg, 2010, Human molecular genetics.

A natural history model for planning prostate cancer testing: Calibration and validation using Swedish registry data

Martin Eklund, Andreas Karlsson, Alexandra Jauhiainen, 2018, bioRxiv.

Determining breast cancer histological grade from RNA-sequencing data

Johan Lindberg, Kamila Czene, Mattias Rantalainen, 2016, Breast Cancer Research.

Comprehensive evaluation of genetic variation in the IGF1 gene and risk of prostate cancer

Pär Stattin, Mattias Johansson, Fredrik Wiklund, 2007, International journal of cancer.