Publicacións en colaboración con investigadores/as de University of Eastern Finland (13)

2023

  1. 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

2020

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

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

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

    EBioMedicine, Vol. 58

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

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

  4. 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. 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

  2. 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

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. 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

2016

  1. Genome-wide associations for birth weight and correlations with adult disease

    Nature, Vol. 538, Núm. 7624, pp. 248-252

2015

  1. A new strategy for enhancing imputation quality of rare variants from next-generation sequencing data via combining SNP and exome chip data

    BMC Genomics, Vol. 16, Núm. 1

2014

  1. Rare variants in PPARG with decreased activity in adipocyte differentiation are associated with increased risk of type 2 diabetes

    Proceedings of the National Academy of Sciences of the United States of America, Vol. 111, Núm. 36, pp. 13127-13132