Publications in collaboration with researchers from 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