Swertz, Morris A.
University Medical Center Groningen · University of Groningen
21 papers on CoChatORCID 0000-0002-0979-3401
Most cited papers
- Verified
The FAIR Guiding Principles for scientific data management and stewardship
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., Blomberg, N., Boiten, J.-W., da Silva Santos, L. B., Bourne, P. E., et al. (2016) · Scientific Data
Research Data Management PracticesScientific Computing and Data Management
Cited by 18,423
- Verified
Genetic studies of body mass index yield new insights for obesity biology
Study, T. L. C., Locke, A. E., The ADIPOGen Consortium, The AGEN-BMI Working Group, The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The, G. L. G. C., The, I. C. B. P., The MAGIC Investigators, The MuTHER Consortium, et al. (2015) · Nature
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 4,534
- Verified
Population-based metagenomics analysis reveals markers for gut microbiome composition and diversity
Zhernakova, A., Kurilshikov, A., Bonder, M. J., Tigchelaar, E. F., Schirmer, M., Vatanen, T., Mujagic, Z., Vila, A. V., Falony, G., Vieira-Silva, S., et al. (2016) · Science
Gut microbiota and healthOral microbiology and periodontitis research
Cited by 1,914
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Defining the role of common variation in the genomic and biological architecture of adult human height
The Electronic Medical Records and Genomics (eMERGE) Consortium, Wood, A. R., The MIGen Consortium, The PAGE Consortium, Study, T. L. C., Esko, T., Yang, J., Vedantam, S., Pers, T. H., Gustafsson, S., et al. (2014) · Nature Genetics
Genetic Associations and EpidemiologyGenetics and Physical Performance
Cited by 1,853
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New genetic loci link adipose and insulin biology to body fat distribution
The ADIPOGen Consortium, Shungin, D., The CARDIOGRAMplusC4D Consortium, The CKDGen Consortium, The GEFOS Consortium, The GENIE Consortium, The, G. L. G. C., The, I. C. B. P., The International Endogene Consortium, Study, T. L. C., et al. (2015) · Nature
Genetic Associations and EpidemiologyAdipokines, Inflammation, and Metabolic Diseases
Cited by 1,580
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Genetic analysis of over 1 million people identifies 535 new loci associated with blood pressure traits
Program, T. M. V., Evangelou, E., Warren, H. R., Mosen-Ansorena, D., Mifsud, B., Pazoki, R., Gao, H., Ntritsos, G., Dimou, N., Cabrera, C. P., et al. (2018) · Nature Genetics
Genetic Associations and EpidemiologyBlood Pressure and Hypertension Studies
Cited by 1,381
- Verified
Cohort Profile: LifeLines, a three-generation cohort study and biobank.
Scholtens, S., Smidt, N., Swertz, M. A., Bakker, S. J., Dotinga, A., Vonk, J. M., van Dijk, F., van Zon, S. K., Wijmenga, C., Wolffenbuttel, B. H., et al. (2015) · International Journal of Epidemiology
Health, Environment, Cognitive AgingGenetic Associations and Epidemiology
Cited by 847
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The effect of host genetics on the gut microbiome
Bonder, M. J., Kurilshikov, A., Tigchelaar, E. F., Mujagic, Z., Imhann, F., Vila, A. V., Deelen, P., Vatanen, T., Schirmer, M., Smeekens, S. P., et al. (2016) · Nature Genetics
Gut microbiota and healthGenetic Associations and Epidemiology
Cited by 819
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Environmental factors shaping the gut microbiome in a Dutch population
Gacesa, R., Kurilshikov, A., Vich Vila, A., Sinha, T., Klaassen, M. A. Y., Bolte, L. A., Andreu-Sánchez, S., Chen, L., Collij, V., Hu, S., et al. (2022) · Nature
Gut microbiota and healthOral microbiology and periodontitis research
Cited by 735
- Verified
Gut microbiota composition and functional changes in inflammatory bowel disease and irritable bowel syndrome
Vich Vila, A., Imhann, F., Collij, V., Jankipersadsing, S. A., Gurry, T., Mujagic, Z., Kurilshikov, A., Bonder, M. J., Jiang, X., Tigchelaar, E. F., et al. (2018) · Science Translational Medicine
Gut microbiota and healthInflammatory Bowel Disease
Cited by 587
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Identification of context-dependent expression quantitative trait loci in whole blood
Zhernakova, D. V., Deelen, P., Vermaat, M., van Iterson, M., van Galen, M., Arindrarto, W., van 't Hof, P., Mei, H., van Dijk, F., Westra, H.-J., et al. (2017) · Nature Genetics
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 416
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Impact of common genetic determinants of hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis
Wheeler, E., Leong, A., Liu, C.-T., Hivert, M.-F., Strawbridge, R. J., Podmore, C., Li, M., Yao, J., Sim, X., Hong, J., et al. (2017) · PLOS Medicine
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 408
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Single-cell RNA sequencing identifies celltype-specific cis-eQTLs and co-expression QTLs
Study, L. C., van der Wijst, M. G. P., BIOS Consortium, Brugge, H., de Vries, D. H., Deelen, P., Swertz, M. A., & Franke, L. (2018) · Nature Genetics
Genetic Associations and EpidemiologySingle-cell and spatial transcriptomics
Cited by 399
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Genetic evidence of assortative mating in humans
Robinson, M. R., Kleinman, A., Graff, M., Vinkhuyzen, A. A. E., Couper, D., Miller, M. B., Peyrot, W. J., Abdellaoui, A., Zietsch, B. P., Nolte, I. M., et al. (2017) · Nature Human Behaviour
Genetic Associations and EpidemiologyGenetic and phenotypic traits in livestock
Cited by 326
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A Functional Genomics Approach to Understand Variation in Cytokine Production in Humans
Li, Y., Oosting, M., Smeekens, S. P., Jaeger, M., Aguirre-Gamboa, R., Le, K. T. T., Deelen, P., Ricaño-Ponce, I., Schoffelen, T., Jansen, A. F. M., et al. (2016) · Cell
Genetic Associations and EpidemiologyImmune Response and Inflammation
Cited by 324
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Mendelian randomization integrating GWAS and eQTL data reveals genetic determinants of complex and clinical traits.
Porcu, E., Rüeger, S., Lepik, K., eQTLGen Consortium, Agbessi, M., Ahsan, H., Alves, I., Andiappan, A., Arindrarto, W., Awadalla, P., et al. (2019) · Nature Communications
Genetic Associations and EpidemiologyGenetic Mapping and Diversity in Plants and Animals
Cited by 322
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Genome-wide analyses identify a role for SLC17A4 and AADAT in thyroid hormone regulation
Teumer, A., Chaker, L., Groeneweg, S., Li, Y., Di Munno, C., Barbieri, C., Schultheiss, U. T., Traglia, M., Ahluwalia, T. S., Akiyama, M., et al. (2018) · Nature Communications
Thyroid Disorders and TreatmentsGenetic Associations and Epidemiology
Cited by 280
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Improving the diagnostic yield of exome- sequencing by predicting gene–phenotype associations using large-scale gene expression analysis
Deelen, P., van Dam, S., Herkert, J. C., Karjalainen, J. M., Brugge, H., Abbott, K. M., van Diemen, C. C., van der Zwaag, P. A., Gerkes, E. H., Zonneveld-Huijssoon, E., et al. (2019) · Nature Communications
Genomics and Rare DiseasesBioinformatics and Genomic Networks
Cited by 138
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Deleterious Alleles in the Human Genome Are on Average Younger Than Neutral Alleles of the Same Frequency
Kiezun, A., Pulit, S. L., Francioli, L. C., van Dijk, F., Swertz, M., Boomsma, D. I., van Duijn, C. M., Slagboom, P. E., van Ommen, G. J. B., Wijmenga, C., et al. (2013) · PLoS Genetics
Evolution and Genetic DynamicsGenomics and Rare Diseases
Cited by 72
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BBMRI–ERIC’s contributions to research and knowledge exchange on COVID-19
community, O. B. O. T. B.-E., Holub, P., Kozera, L., Florindi, F., van Enckevort, E., Swertz, M., Reihs, R., Wutte, A., Valík, D., & Mayrhofer, M. T. (2020) · European Journal of Human Genetics
Ethics in Clinical ResearchResearch Data Management Practices
Cited by 32
- Verified · note
Machine Learning for Multi-Omics Data Integration and Variant Pathogenicity Estimation
Li, S., van der Velde, K. J., & Swertz, M. A. (2018) · 2018 IEEE 14th International Conference on e-Science (e-Science)
Genomics and Rare DiseasesBioinformatics and Genomic Networks
Cited by 0
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