Publications in collaboration with researchers from Institute Catalá Oncología (34)

2024

  1. Fine-mapping analysis including over 254,000 East Asian and European descendants identifies 136 putative colorectal cancer susceptibility genes

    Nature Communications, Vol. 15, Núm. 1

2023

  1. A second update on mapping the human genetic architecture of COVID-19

    Nature

  2. Author Correction: Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries (Nature Genetics, (2023), 55, 1, (89-99), 10.1038/s41588-022-01222-9)

    Nature Genetics

  3. Combining Asian and European genome-wide association studies of colorectal cancer improves risk prediction across racial and ethnic populations

    Nature Communications, Vol. 14, Núm. 1

  4. Deciphering colorectal cancer genetics through multi-omic analysis of 100,204 cases and 154,587 controls of European and east Asian ancestries

    Nature Genetics, Vol. 55, Núm. 1, pp. 89-99

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

    Clinical cancer research : an official journal of the American Association for Cancer Research, Vol. 29, Núm. 16, pp. 3037-3050

  6. Genetically proxied glucose-lowering drug target perturbation and risk of cancer: a Mendelian randomisation analysis

    Diabetologia, Vol. 66, Núm. 8, pp. 1481-1500

  7. Machine Learning Improves Risk Stratification in Myelofibrosis: An Analysis of the Spanish Registry of Myelofibrosis

    HemaSphere, Vol. 7, Núm. 1, pp. E818

2022

  1. Clinical, splicing, and functional analysis to classify BRCA2 exon 3 variants: Application of a points-based ACMG/AMP approach

    Human Mutation, Vol. 43, Núm. 12, pp. 1921-1944

  2. Copy number variants as modifiers of breast cancer risk for BRCA1/BRCA2 pathogenic variant carriers

    Communications biology, Vol. 5, Núm. 1, pp. 1061

  3. 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

  4. Polygenic risk modeling for prediction of epithelial ovarian cancer risk

    European journal of human genetics : EJHG, Vol. 30, Núm. 3, pp. 349-362

2021

  1. Erratum: Author Correction: A case-only study to identify genetic modifiers of breast cancer risk for BRCA1/BRCA2 mutation carriers (Nature communications (2021) 12 1 (1078))

    Nature communications

2020

  1. Colorectal cancer genetic variants are also associated with serrated polyposis syndrome susceptibility

    Journal of Medical Genetics, Vol. 57, Núm. 10, pp. 677-682

  2. Polygenic risk scores and breast and epithelial ovarian cancer risks for carriers of BRCA1 and BRCA2 pathogenic variants

    Genetics in Medicine, Vol. 22, Núm. 10, pp. 1653-1666

2019

  1. Publisher Correction: Shared heritability and functional enrichment across six solid cancers (Nature Communications, (2019), 10, 1, (431), 10.1038/s41467-018-08054-4)

    Nature Communications

  2. Shared heritability and functional enrichment across six solid cancers

    Nature Communications, Vol. 10, Núm. 1

2018

  1. A transcriptome-wide association study among 97,898 women to identify candidate susceptibility genes for epithelial ovarian cancer risk

    Cancer Research, Vol. 78, Núm. 18, pp. 5419-5430

  2. Genetic testing and clinical management practices for variants in non-BRCA1/2 breast (and breast/ovarian) cancer susceptibility genes: An international survey by the Evidence-based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) clinical working group

    JCO Precision Oncology, Vol. 2

  3. Mutational spectrum in a worldwide study of 29,700 families with BRCA1 or BRCA2 mutations

    Human Mutation, Vol. 39, Núm. 5, pp. 593-620