Ana
Vega Gliemmo
University College London
Londres, Reino UnidoPublicaciones en colaboración con investigadores/as de University College London (39)
2023
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A likelihood ratio approach for utilizing case-control data in the clinical classification of rare sequence variants: Application to BRCA1 and BRCA2
Human Mutation, Vol. 2023
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Characterizing prostate cancer risk through multi-ancestry genome-wide discovery of 187 novel risk variants
Nature Genetics, Vol. 55, Núm. 12, pp. 2065-2074
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Evaluating approaches for constructing polygenic risk scores for prostate cancer in men of African and European ancestry
American Journal of Human Genetics, Vol. 110, Núm. 7, pp. 1200-1206
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Large-scale meta-genome-wide association study reveals common genetic factors linked to radiation-induced acute toxicities across cancer types
JNCI Cancer Spectrum, Vol. 7, Núm. 6
2022
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Erratum: Correction: Polygenic risk modeling for prediction of epithelial ovarian cancer risk (European journal of human genetics : EJHG (2022) 30 3 (349-362))
European journal of human genetics : EJHG
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Polygenic risk modeling for prediction of epithelial ovarian cancer risk
European journal of human genetics : EJHG, Vol. 30, Núm. 3, pp. 349-362
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Prostate cancer risk stratification improvement across multiple ancestries with new polygenic hazard score
Prostate cancer and prostatic diseases, Vol. 25, Núm. 4, pp. 755-761
2021
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Additional SNPs improve risk stratification of a polygenic hazard score for prostate cancer
Prostate Cancer and Prostatic Diseases, Vol. 24, Núm. 2, pp. 532-541
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Polygenic hazard score is associated with prostate cancer in multi-ethnic populations
Nature Communications, Vol. 12, Núm. 1
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Publisher Correction: Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction (Nature Genetics, (2021), 53, 1, (65-75), 10.1038/s41588-020-00748-0)
Nature Genetics
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Trans-ancestry genome-wide association meta-analysis of prostate cancer identifies new susceptibility loci and informs genetic risk prediction
Nature Genetics, Vol. 53, Núm. 1, pp. 65-75
2020
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An integrative multi-omics analysis to identify candidate DNA methylation biomarkers related to prostate cancer risk
Nature Communications, Vol. 11, Núm. 1
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Genome-wide association study identifies 32 novel breast cancer susceptibility loci from overall and subtype-specific analyses
Nature Genetics, Vol. 52, Núm. 6, pp. 572-581
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Genomic analysis of male puberty timing highlights shared genetic basis with hair colour and lifespan
Nature Communications, Vol. 11, Núm. 1
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Ovarian and Breast Cancer Risks Associated with Pathogenic Variants in RAD51C and RAD51D
Journal of the National Cancer Institute, Vol. 112, Núm. 12, pp. 1242-1250
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Radiogenomics Consortium Genome-Wide Association Study Meta-Analysis of Late Toxicity After Prostate Cancer Radiotherapy
Journal of the National Cancer Institute, Vol. 112, Núm. 2, pp. 179-190
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The CHEK2 variant C.349A>G is associated with prostate cancer risk and carriers share a common ancestor
Cancers, Vol. 12, Núm. 11, pp. 1-17
2019
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Association analyses identify 31 new risk loci for colorectal cancer susceptibility
Nature Communications, Vol. 10, Núm. 1
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Circulating metabolic biomarkers of screen-detected prostate cancer in the ProtecT study
Cancer Epidemiology Biomarkers and Prevention, Vol. 28, Núm. 1, pp. 208-216
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Correction to: Association analyses of more than 140,000 men identify 63 new prostate cancer susceptibility loci (Nature Genetics, (2018), 50, 7, (928-936), 10.1038/s41588-018-0142-8)
Nature Genetics