Publicacións en colaboración con investigadores/as de Case Western Reserve University (12)

2023

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

    Nature Genetics, Vol. 55, Núm. 12, pp. 2065-2074

2021

  1. 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

  2. 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

2019

  1. 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

  2. Erratum to: Germline variation at 8q24 and prostate cancer risk in men of European ancestry (Nature Communications, (2018), 9, 1, (4616), 10.1038/s41467-018-06863-1)

    Nature Communications

  3. Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

    American Journal of Human Genetics, Vol. 104, Núm. 1, pp. 21-34

2018

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

    Nature Genetics, Vol. 50, Núm. 7, pp. 928-936

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

    Nature Communications, Vol. 9, Núm. 1

  3. Germline variation at 8q24 and prostate cancer risk in men of European ancestry

    Nature Communications, Vol. 9, Núm. 1

2017

  1. Association analysis identifies 65 new breast cancer risk loci

    Nature, Vol. 551, Núm. 7678, pp. 92-94

  2. Identification of ten variants associated with risk of estrogen-receptor-negative breast cancer

    Nature Genetics, Vol. 49, Núm. 12, pp. 1767-1778

  3. The oncoarray consortium: A network for understanding the genetic architecture of common cancers

    Cancer Epidemiology Biomarkers and Prevention, Vol. 26, Núm. 1, pp. 126-135