Publications in collaboration with researchers from University of Oxford (35)

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 phenome-wide comparative analysis of genetic discordance between obesity and type 2 diabetes

    Nature Metabolism, Vol. 5, Núm. 2, pp. 237-247

  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. 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

  4. Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits

    Nature Communications, Vol. 14, Núm. 1

2021

  1. Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1

    Autophagy, Vol. 17, Núm. 1, pp. 1-382

  2. The Phenotype of Axial Spondyloarthritis: Is It Dependent on HLA–B27 Status?

    Arthritis Care and Research, Vol. 73, Núm. 6, pp. 856-860

2020

  1. A Multi-omic Integrative Scheme Characterizes Tissues of Action at Loci Associated with Type 2 Diabetes

    American Journal of Human Genetics, Vol. 107, Núm. 6, pp. 1011-1028

  2. A reference map of potential determinants for the human serum metabolome

    Nature, Vol. 588, Núm. 7836, pp. 135-140

  3. Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study

    EBioMedicine, Vol. 58

  4. Genetic Predisposition to Coronary Artery Disease in Type 2 Diabetes Mellitus

    Circulation: Genomic and Precision Medicine, Vol. 13, Núm. 6, pp. E002769

  5. Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts

    PLoS Medicine, Vol. 17, Núm. 6

2019

  1. Association analyses identify 31 new risk loci for colorectal cancer susceptibility

    Nature Communications, Vol. 10, Núm. 1

  2. Developing a network view of type 2 diabetes risk pathways through integration of genetic, genomic and functional data

    Genome Medicine, Vol. 11, Núm. 1

  3. Genetic studies of abdominal MRI data identify genes regulating hepcidin as major determinants of liver iron concentration

    Journal of Hepatology, Vol. 71, Núm. 3, pp. 594-602

  4. Maternal and fetal genetic effects on birth weight and their relevance to cardio-metabolic risk factors

    Nature Genetics, Vol. 51, Núm. 5, pp. 804-814

  5. OARSI guidelines for the non-surgical management of knee, hip, and polyarticular osteoarthritis

    Osteoarthritis and Cartilage, Vol. 27, Núm. 11, pp. 1578-1589

2018

  1. Erratum to: Regulatory variants at KLF14 influence type 2 diabetes risk via a female-specific effect on adipocyte size and body composition (Nature Genetics, (2018), 50, 4, (572-580), 10.1038/s41588-018-0088-x)

    Nature Genetics

  2. Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria

    PLoS Genetics, Vol. 14, Núm. 12

  3. Regulatory variants at KLF14 influence type 2 diabetes risk via a female-specific effect on adipocyte size and body composition

    Nature Genetics, Vol. 50, Núm. 4, pp. 572-580