Reumatología
University of Oxford
Oxford, Reino UnidoPublicaciones en colaboración con investigadores/as de University of Oxford (35)
2024
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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
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A phenome-wide comparative analysis of genetic discordance between obesity and type 2 diabetes
Nature Metabolism, Vol. 5, Núm. 2, pp. 237-247
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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
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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
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Genetic analysis of blood molecular phenotypes reveals common properties in the regulatory networks affecting complex traits
Nature Communications, Vol. 14, Núm. 1
2021
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Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition)1
Autophagy, Vol. 17, Núm. 1, pp. 1-382
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The Phenotype of Axial Spondyloarthritis: Is It Dependent on HLA–B27 Status?
Arthritis Care and Research, Vol. 73, Núm. 6, pp. 856-860
2020
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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
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A reference map of potential determinants for the human serum metabolome
Nature, Vol. 588, Núm. 7836, pp. 135-140
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Dietary metabolite profiling brings new insight into the relationship between nutrition and metabolic risk: An IMI DIRECT study
EBioMedicine, Vol. 58
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Genetic Predisposition to Coronary Artery Disease in Type 2 Diabetes Mellitus
Circulation: Genomic and Precision Medicine, Vol. 13, Núm. 6, pp. E002769
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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
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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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Developing a network view of type 2 diabetes risk pathways through integration of genetic, genomic and functional data
Genome Medicine, Vol. 11, Núm. 1
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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
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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
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OARSI guidelines for the non-surgical management of knee, hip, and polyarticular osteoarthritis
Osteoarthritis and Cartilage, Vol. 27, Núm. 11, pp. 1578-1589
2018
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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
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Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria
PLoS Genetics, Vol. 14, Núm. 12
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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