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Franke, prof. dr. Lude

Lude Franke
Lude Franke

Lude Franke (1980) is adjunct-hoogleraar aan de afdeling Genetica van de Rijksuniversiteit Groningen/Universitair Medisch Centrum Groningen en hoofd Research and Education van de afdeling Genetica aan het UMCG. Als statistisch geneticus richt hij zich op het analyseren van gegevens over de genetica van complexe ziekten en auto-immuunziekten (zoals coeliakie). Dankzij een ERC Starting Grant (2014), een NWO VIDI-beurs (2014), een NWO VENI-beurs (2009) en een Horizon-beurs (2009) kan hij onderzoek uitvoeren naar moleculaire effecten van mutaties die ziektes veroorzaken.

In zijn vrije tijd is Franke grafisch ontwerper. Deze gelukkige combinatie van vaardigheden kan het leven van een genetisch onderzoeker behoorlijk makkelijker maken: als je je onderzoek visueel kunt uitleggen, begrijpen meer mensen wat je bedoelt. Lude Franke is een van de 'founding members' van de Young Academy Groningen.

In 2021 ontving Franke een Vici subsidie om onderzoek te doen naar genetische mutaties. Kanker wordt vaak veroorzaakt door mutaties die tijdens het leven ontstaan, terwijl andere ziekten worden veroorzaakt door genetische veranderingen die van ouder op kind zijn doorgegeven. Zijn project bestudeert met gen-netwerken of een overkoepeld principe bestaat dat deze verschillende soorten mutaties verenigt.

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RUG artikel

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Publicaties

2024

Moerkens, R., Mooiweer, J., Ramírez-Sánchez, A. D., Oelen, R., Franke, L., Wijmenga, C., Barrett, R. J., Jonkers, I. H., & Withoff, S. (2024). An iPSC-derived small intestine-on-chip with self-organizing epithelial, mesenchymal, and neural cells. Cell reports, 43(7), Article 114247. https://doi.org/10.1016/j.celrep.2024.114247
Andreu-Sánchez, S., Ripoll-Cladellas, A., Culinscaia, A., Bulut, O., Bourgonje, A. R., Netea, M. G., Lansdorp, P., Aubert, G., Bonder, M. J., Franke, L. H., Vogl, T., van der Wijst, M. G. P., Melé, M., van Baarle, D., Fu, J., & Zhernakova, A. (2024). Antibody signatures against viruses and microbiome reflect past and chronic exposures and associate with aging and inflammation. iScience , 27(6), Article 109981. https://doi.org/10.1016/j.isci.2024.109981
Lifelines Corona Research initiative, Goërtz, Y. M. J., Spruit, M. A., Van Herck, M., Dukers-Muijrers, N., van der Kallen, C. J. H., Burtin, C., & Janssen, D. J. A. (2024). Author Correction: Symptoms and quality of life before, during, and after a SARS-CoV-2 PCR positive or negative test: data from Lifelines (Scientific Reports, (2023), 13, 1, (11713), 10.1038/s41598-023-38223-5). Scientific Reports, 14, Article 8390. https://doi.org/10.1038/s41598-024-58848-4
Urzúa-Traslaviña, C. G., van Lieshout, T., Boulogne, F., Domanegg, K., Zidan, M., Bakker, O. B., Claringbould, A., de Ridder, J., Zwart, W., Westra, H. J., Deelen, P., & Franke, L. (2024). Co-expression in tissue-specific gene networks links genes in cancer-susceptibility loci to known somatic driver genes. BMC Medical Genomics, 17, Article 186. https://doi.org/10.1186/s12920-024-01941-4
Neavin, D., Senabouth, A., Arora, H., Lee, J. T. H., Ripoll-Cladellas, A., Franke, L., Prabhakar, S., Ye, C. J., McCarthy, D. J., Melé, M., Hemberg, M., & Powell, J. E. (2024). Demuxafy: improvement in droplet assignment by integrating multiple single-cell demultiplexing and doublet detection methods. Genome Biology, 25(1), Article 94. https://doi.org/10.1186/s13059-024-03224-8
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Trastulla, L., Dolgalev, G., Moser, S., Jiménez-Barrón, L. T., Andlauer, T. F. M., von Scheidt, M., Budde, M., Schunkert, H., & Ziller, M. J. (2024). Distinct genetic liability profiles define clinically relevant patient strata across common diseases. Nature Communications, 15, Article 5534. https://doi.org/10.1038/s41467-024-49338-2
Wu, J., Palasantzas, V., Andreu-Sánchez, S., Plösch, T., Leonard, S., Li, S., Bonder, M. J., Westra, H.-J., van Meurs, J., Ghanbari, M., Franke, L., Zhernakova, A., Fu, J., Hoogerland, J. A., & Zhernakova, D. V. (2024). Epigenome-wide association study on the plasma metabolome suggests self-regulation of the glycine and serine pathway through DNA methylation. Clinical Epigenetics, 16, Article 104. https://doi.org/10.1186/s13148-024-01718-7
Akeju, O., Mens, M. M. J., Warmerdam, R., Dijkema, M., van den Biggelaar, A. H. J., Franke, L., Goudsmit, J., & Wu, J. W. (2024). Genetic Correlates of Biological Aging and the Influence on Prediction of Mortality. Journals of Gerontology - Series A Biological Sciences and Medical Sciences, 79(4), Article glae024. https://doi.org/10.1093/gerona/glae024
China Kadoorie Biobank Collaborative Group, Karjalainen, M. K., Karthikeyan, S., Oliver-Williams, C., Sliz, E., Allara, E., Fung, W. T., Surendran, P., Zhang, W., Jousilahti, P., Kristiansson, K., Salomaa, V., Goodwin, M., Hughes, D. A., Boehnke, M., Fernandes Silva, L., Yin, X., Mahajan, A., Neville, M. J., ... Kettunen, J. (2024). Genome-wide characterization of circulating metabolic biomarkers. Nature, 130–138. https://doi.org/10.1038/s41586-024-07148-y
Pekayvaz, K., Losert, C., Knottenberg, V., Gold, C., van Blokland, I. V., Oelen, R., Groot, H. E., Benjamins, J. W., Brambs, S., Kaiser, R., Gottschlich, A., Hoffmann, G. V., Eivers, L., Martinez-Navarro, A., Bruns, N., Stiller, S., Akgöl, S., Yue, K., Polewka, V., ... Stark, K. (2024). Multiomic analyses uncover immunological signatures in acute and chronic coronary syndromes. Nature Medicine, 30, 1696–1710. https://doi.org/10.1038/s41591-024-02953-4
BBMRI Consortium, Bizzarri, D., Reinders, M. J. T., Kuiper, L., Beekman, M., Deelen, J., van Meurs, J. B. J., van Dongen, J., Pool, R., Boomsma, D. I., Ghanbari, M., & Franke, L. (2024). NMR metabolomics-guided DNA methylation mortality predictors. EBioMedicine, 107, Article 105279. https://doi.org/10.1016/j.ebiom.2024.105279
Bios Consortium , van Hilten, A., van Rooij, J., Ikram, M. A., Niessen, W. J., van Meurs, J. B. J., & Roshchupkin, G. V. (2024). Phenotype prediction using biologically interpretable neural networks on multi-cohort multi-omics data. npj Systems Biology and Applications, 10, Article 81. https://doi.org/10.1038/s41540-024-00405-w
Vochteloo, M., Deelen, P., Vink, B., Bios Consortium , Tsai, E. A., Runz, H., Andreu-Sánchez, S., Fu, J., Zhernakova, A., Westra, H.-J., & Franke, L. (2024). Picalo: principal interaction component analysis for the identification of discrete technical, cell-type, and environmental factors that mediate eQTLs. Genome Biology, 25(1), Article 29. https://doi.org/10.1186/s13059-023-03151-0
ABCTB Investigators, Kentistou, K. A., Kaisinger, L. R., Stankovic, S., Vaudel, M., Mendes de Oliveira, E., Messina, A., Walters, R. G., Liu, X., Busch, A. S., Helgason, H., Thompson, D. J., Santoni, F., Petricek, K. M., Zouaghi, Y., Huang-Doran, I., Gudbjartsson, D. F., Bratland, E., Lin, K., ... Ong, K. K. (2024). Publisher Correction: Understanding the genetic complexity of puberty timing across the allele frequency spectrum. Nature genetics, 56(8), 1763-1764. https://doi.org/10.1038/s41588-024-01857-w
van Blokland, I. V., Oelen, R., Groot, H. E., Benjamins, J. W., Pekayvaz, K., Losert, C., Knottenberg, V., Heinig, M., Nicolai, L., Stark, K., van der Harst, P., Franke, L., & van der Wijst, M. G. P. (2024). Single-Cell Dissection of the Immune Response After Acute Myocardial Infarction. Circulation. Genomic and precision medicine, 17, Article e004374. https://doi.org/10.1161/CIRCGEN.123.004374
ABCTB Investigators, Perry, J. R. B., & Ong, K. K. (2024). Understanding the genetic complexity of puberty timing across the allele frequency spectrum. Nature genetics, 56(7), 1397-1411. https://doi.org/10.1038/s41588-024-01798-4

2023

COVID-19 Host Genetics Initiative (2023). A second update on mapping the human genetic architecture of COVID-19. Nature, 621(7977), E7-E26. https://doi.org/10.1038/s41586-023-06355-3
de Klein, N., Tsai, E. A., Vochteloo, M., Baird, D., Huang, Y., Chen, C. Y., van Dam, S., Oelen, R., Deelen, P., Bakker, O. B., El Garwany, O., Ouyang, Z., Marshall, E. E., Zavodszky, M. I., van Rheenen, W., Bakker, M. K., Veldink, J., Gaunt, T. R., Runz, H., ... Westra, H. J. (2023). Brain expression quantitative trait locus and network analyses reveal downstream effects and putative drivers for brain-related diseases. Nature genetics, 55(3), 377-388. https://doi.org/10.1038/s41588-023-01300-6
COVID-19 Host Genetics Initiative (2023). Erratum to: Mapping the human genetic architecture of COVID-19 (Nature, (2021), 600, 7889, (472-477), 10.1038/s41586-021-03767-x). Nature, 621(7977), E7-E26. https://doi.org/10.1093/1476-4687
HUNT All-In Stroke, CADISP group, International Consortium for Blood Pressure (ICBP), The International Headache Genetics Consortium (IHGC), International Stroke Genetics Consortium, ISGC Intracranial Aneurysm Working Group, Bakker, M. K., Kanning, J. P., Abraham, G., Martinsen, A. E., Winsvold, B. S., Zwart, J. A., Bourcier, R., Sawada, T., Koido, M., Kamatani, Y., Morel, S., Amouyel, P., Debette, S., ... Ruigrok, Y. M. (2023). Genetic Risk Score for Intracranial Aneurysms: Prediction of Subarachnoid Hemorrhage and Role in Clinical Heterogeneity. Stroke, 54(3), 810-818. https://doi.org/10.1161/STROKEAHA.122.040715
BBJ, BioMe, BioVU, Canadian Partnership for Tomorrow's Health/OHS, China Kadoorie Biobank Collaborative Group, Colorado Center for Personalized Medicine, deCODE Genetics, ESTBB, FinnGen, Generation Scotland, Genes & Health, LifeLines, Mass General Brigham Biobank, Michigan Genomics Initiative, QIMR Berghofer Biobank, Taiwan Biobank, The HUNT Study, UCLA ATLAS Community Health Initiative, UKBB, ... Hirbo, J. B. (2023). Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts. Cell Genomics, 3(1), Article 100241. https://doi.org/10.1016/j.xgen.2022.100241
BIOS Consortium, sc-eQTLgen Consortium, Li, S., Schmid, K. T., de Vries, D. H., Korshevniuk, M., Losert, C., Oelen, R., van Blokland, I. V., Groot, H. E., Swertz, M. A., van der Harst, P., Westra, H. J., van der Wijst, M. G. P., Heinig, M., & Franke, L. (2023). Identification of genetic variants that impact gene co-expression relationships using large-scale single-cell data. Genome Biology, 24, Article 80. https://doi.org/10.1186/s13059-023-02897-x
Boahen, C. K., Oelen, R., Le, K., Netea, M. G., Franke, L., Wijst, M. G. P. V. D., & Kumar, V. (2023). Integration of Candida albicans-induced single-cell gene expression data and secretory protein concentrations reveal genetic regulators of inflammation. Frontiers in Immunology, 14, Article 1069379. https://doi.org/10.3389/fimmu.2023.1069379
Genomics England Research Consortium, Boulogne, F., Claus, L. R., Wiersma, H., Oelen, R., Schukking, F., de Klein, N., Li, S., Westra, H. J., van der Zwaag, B., van Reekum, F., Sierks, D., Schönauer, R., Li, Z., Bijlsma, E. K., Bos, W. J. W., Halbritter, J., Knoers, N. V. A. M., Besse, W., ... van Eerde, A. M. (2023). KidneyNetwork: Using kidney-derived gene expression data to predict and prioritize novel genes involved in kidney disease. European Journal of Human Genetics, 31, 1300–1308. https://doi.org/10.1038/s41431-023-01296-x
BIOS Consortium, Dekkers, K. F., Slieker, R. C., Ioan-Facsinay, A., van Iterson, M., Ikram, M. A., van Greevenbroek, M. M. J., Veldink, J. H., Franke, L., Boomsma, D. I., Slagboom, P. E., Jukema, J. W., & Heijmans, B. T. (2023). Lipid-induced transcriptomic changes in blood link to lipid metabolism and allergic response. Nature Communications, 14, Article 544. https://doi.org/10.1038/s41467-022-35663-x
Pekayvaz, K., Losert, C., Knottenberg, V., van Blokland, I. V., Oelen, R., Groot, H. E., Benjamins, J. W., Brambs, S., Kaiser, R., Eivers, L., Polewka, V., Escaig, R., Joppich, M., Janjic, A., Popp, O., Petzold, T., Zimmer, R., Enard, W., Saar, K., ... Stark, K. (2023). Multi-Omic Factor Analysis uncovers immunological signatures with pathophysiologic and clinical implications in coronary syndromes. MedRxiv. https://doi.org/10.1101/2023.05.02.23289392
eQTLgen Consortium, Dai, Q., Zhou, G., Zhao, H., Võsa, U., Franke, L., Battle, A., Teumer, A., Lehtimäki, T., Raitakari, O. T., Esko, T., Epstein, M. P., & Yang, J. (2023). OTTERS: a powerful TWAS framework leveraging summary-level reference data. Nature Communications, 14, Article 1271. https://doi.org/10.1038/s41467-023-36862-w
The Netherlands A. C. M./P. L. N. Registry, Lifelines Cohort Study, Lopera-Maya, E. A., Li, S., de Brouwer, R., Nolte, I. M., van Breen, J., Jongbloed, J. D. H., Swertz, M. A., Snieder, H., Franke, L., Wijmenga, C., de Boer, R. A., Deelen, P., van der Zwaag, P. A., & Sanna, S. (2023). Phenotypic and Genetic Factors Associated with Absence of Cardiomyopathy Symptoms in PLN:c.40_42delAGA Carriers. Journal of cardiovascular translational research, 16, 1251–1266. https://doi.org/10.1007/s12265-022-10347-5
Kellmann, A., Lanting, P., Franke, L. H., van Enckevort, E., & Swertz, M. A. (2023). Semiautomatic translation of medicine usage data (in Dutch, free-text) from Lifelines COVID-19 questionnaires to ATC codes. Database-The journal of biological databases and curation, 2023. https://doi.org/10.1093/database/baad019
ABCTB Investigators, Kentistou, K. A., Kaisinger, L. R., Stankovic, S., Vaudel, M., de Oliveira, E. M., Messina, A., Walters, R. G., Liu, X., Busch, A. S., Helgason, H., Thompson, D. J., Santon, F., Petricek, K. M., Zouaghi, Y., Huang-Doran, I., Gudbjartsson, D. F., Bratland, E., Lin, K., ... Ong, K. K. (2023). Understanding the genetic complexity of puberty timing across the allele frequency spectrum. MedRxiv. https://doi.org/10.1101/2023.06.14.23291322
Lifelines Corona Research initiative, Mobach, M. P., Boezen, H. M., Mierau, J. O., Franke, H. L., Dekens, J., Deelen, P., Lanting, P., Vonk, J. M., Nolte, I., Ori, A. P. S., Claringbould, A., Boulogne, F., Dijkema, M. X. L., Wiersma, H. H., Warmerdam, R., Jankipersadsing, S. A., van Blokland, I., de Bock, G. T. H., ... Wijmenga, C. (2023). Workplace impact on employees: A Lifelines Corona Research Initiative on the return to work. PLoS ONE, 18(1), Article e0279902. https://doi.org/10.1371/journal.pone.0279902

2022

COVID-19 Host Genetics Initiative (2022). A first update on mapping the human genetic architecture of COVID-19. Nature, 608, E1–E10. https://doi.org/10.1038/s41586-022-04826-7
Lifelines Cohort Study, Zhernakova, D. V., Sinha, T., Andreu Sánchez, S., Prins, J., Kurilshikov, A., Balder, J.-W., Sanna, S., Franke, L. H., Kuivenhoven, J. A., Zhernakova, A., & Fu, J. (2022). Age-dependent sex differences in cardiometabolic risk factors. Nature Cardiovascular Research, 1, 844–854. https://doi.org/10.1038/s44161-022-00131-8
Lifelines Cohort Study, Lopera-Maya, E. A., Kurilshikov, A., van der Graaf, A., Hu, S., Andreu-Sánchez, S., Chen, L., Vila, A. V., Gacesa, R., Sinha, T., Collij, V., Klaassen, M. A. Y., Bolte, L. A., Gois, M. F. B., Neerincx, P. B. T., Swertz, M. A., Harmsen, H. J. M., Wijmenga, C., Fu, J., ... Sanna, S. (2022). Author Correction: Effect of host genetics on the gut microbiome in 7,738 participants of the Dutch Microbiome Project (Nature Genetics, (2022), 54, 2, (143-151), 10.1038/s41588-021-00992-y). Nature genetics, 54(9), 1448. https://doi.org/10.1038/s41588-022-01164-2
SLALOM Consortium, PARALS Consortium, SLAGEN Consortium, SLAP Consortium, van Rheenen, W., van der Spek, R. A. A., Bakker, M. K., van Vugt, J. J. F. A., Hop, P. J., Zwamborn, R. A. J., de Klein, N., Westra, H.-J., Bakker, O. B., Deelen, P., Shireby, G., Hannon, E., Moisse, M., Baird, D., Restuadi, R., ... Veldink, J. H. (2022). Author Correction: Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology (vol 53, pg 1636, 2021). Nature genetics, 54(3), 361-361. https://doi.org/10.1038/s41588-022-01020-3
Lopera-Maya, E. A., Kurilshikov, A., van der Graaf, A., Hu, S., Lifelines Cohort Study, Andreu-Sánchez, S., Chen, L., Vila, A. V., Gacesa, R., Sinha, T., Collij, V., Klaassen, M. A. Y., Bolte, L. A., Brandao Gois, M. F., Neerincx, P. B. T., Swertz, M. A., Harmsen, H. J. M., Wijmenga, C., Fu, J., ... Sanna, S. (2022). Effect of host genetics on the gut microbiome in 7,738 participants of the Dutch Microbiome Project. Nature genetics, 54, 143-151. https://doi.org/10.1038/s41588-021-00992-y
BIOS Consortium (2022). Functional genomics analysis identifies T and NK cell activation as a driver of epigenetic clock progression. Genome Biology, 23(1), 24. https://doi.org/10.1186/s13059-021-02585-8
Andreu-Sánchez, S., Aubert, G., Ripoll-Cladellas, A., Henkelman, S., Zhernakova, D. V., Sinha, T., Kurilshikov, A., Cenit, M. C., Jan Bonder, M., Franke, L., Wijmenga, C., Fu, J., van der Wijst, M. G. P., Melé, M., Lansdorp, P., & Zhernakova, A. (2022). Genetic, parental and lifestyle factors influence telomere length. Communications biology, 5(1), Article 565. https://doi.org/10.1038/s42003-022-03521-7
BIOS Consortium, Brain MEND Consortium, Hop, P. J., Zwamborn, R. A. J., Hannon, E., Shireby, G. L., Nabais, M. F., Walker, E. M., van Rheenen, W., van Vugt, J. J. F. A., Dekker, A. M., Westeneng, H. J., Tazelaar, G. H. P., van Eijk, K. R., Moisse, M., Baird, D., Al Khleifat, A., Iacoangeli, A., Ticozzi, N., ... Veldink, J. H. (2022). Genome-wide study of DNA methylation shows alterations in metabolic, inflammatory, and cholesterol pathways in ALS. Science Translational Medicine, 14(633), Article eabj0264. https://doi.org/10.1126/scitranslmed.abj0264
deCODE Genetics, Estonian Biobank, FinnGen, Generation Scotland, Genes & Health Research Team, LifeLines, Mass General Brigham Biobank, Michigan Genomics Initiative, National Biobank of Korea, Penn Medicine BioBank, Qatar Biobank, The QSkin Sun and Health Study, Taiwan Biobank, The HUNT Study, UCLA ATLAS Community Health Initiative, Uganda Genome Resource, UK Biobank, Biobank of the Americas, BioBank Japan Project, ... Sanna, S. (2022). Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease. Cell Genomics, 2(10), Article 100192. https://doi.org/10.1016/j.xgen.2022.100192
Uniken Venema, W. T. C., Ramírez-Sánchez, A. D., Bigaeva, E., Withoff, S., Jonkers, I., McIntyre, R. E., Ghouraba, M., Raine, T., Weersma, R. K., Franke, L., Festen, E. A. M., & van der Wijst, M. G. P. (2022). Gut mucosa dissociation protocols influence cell type proportions and single-cell gene expression levels. Scientific Reports, 12, Article 9897. https://doi.org/10.1038/s41598-022-13812-y
Lifelines Corona Research initiative, Warmerdam, C. A. R., Wiersma, H. H., Lanting, P., Ani, A., Dijkema, M. X. L., Snieder, H., Vonk, J. M., Boezen, H. M., Deelen, P., & Franke, L. H. (2022). Increased genetic contribution to wellbeing during the COVID-19 pandemic. PLoS genetics, 18(5), Article e1010135. https://doi.org/10.1371/journal.pgen.1010135
Lifelines Corona Research initiative, Qi, Y., Lepe, A., Almansa, J., Ots, P., de Kroon, M. L. A., Boezen, H. M., Mierau, J. O., Franke, H. L., Dekens, J., Deelen, P., Lanting, P., Vonk, J. M., Nolte, I., Ori, A. P. S., Claringbould, A., Boulogne, F., Dijkema, M. X. L., Wiersma, H. H., ... Brouwer, S. (2022). Increases in symptoms of depression and anxiety in adults during the initial phases of the COVID-19 pandemic are limited to those with less resources: Results from the Lifelines Cohort Study. Journal of Psychiatric Research, 154, 151-158. https://doi.org/10.1016/j.jpsychires.2022.07.011
Bios Consortium , Porcu, E., Claringbould, A., Weihs, A., Lepik, K., Richardson, T. G., Voelker, U., Santoni, F. A., Teumer, A., Franke, L., Reymond, A., & Kutalik, Z. (2022). Limited evidence for blood eQTLs in human sexual dimorphism. Genome medicine, 14(1), Article 89. https://doi.org/10.1186/s13073-022-01088-w
Global Biobank Meta-analysis Initiative, Kanai, M., Elzur, R., Zhou, W., Daly, M. J., & Finucane, H. K. (2022). Meta-analysis fine-mapping is often miscalibrated at single-variant resolution. Cell Genomics, 2(12), Article 100210. https://doi.org/10.1016/j.xgen.2022.100210
Estonian Biobank Research Team, Lepamets, M., Auwerx, C., Nõukas, M., Claringbould, A., Porcu, E., Kals, M., Jürgenson, T., Morris, A. P., Võsa, U., Bochud, M., Stringhini, S., Wijmenga, C., Franke, L., Peterson, H., Vilo, J., Lepik, K., Mägi, R., & Kutalik, Z. (2022). Omics-informed CNV calls reduce false-positive rates and improve power for CNV-trait associations. Human Genetics and Genomics Advances, 3(4), Article 100133. https://doi.org/10.1016/j.xhgg.2022.100133
23andMe Research Team, Social Science Genetic Association Consortium, Okbay, A., Wu, Y., Wang, N., Jayashankar, H., Bennett, M., Nehzati, S. M., Sidorenko, J., Kweon, H., Goldman, G., Gjorgjieva, T., Jiang, Y., Hicks, B., Tian, C., Hinds, D. A., Ahlskog, R., Magnusson, P. K. E., Oskarsson, S., ... Young, A. I. (2022). Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals. Nature genetics, 54(4), 437-449. https://doi.org/10.1038/s41588-022-01016-z
Lifelines Cohort Study, Zhernakova, D. V., Sinha, T., Andreu-Sánchez, S., Prins, J. R., Kurilshikov, A., Balder, J. W., Sanna, S., Franke, L., Kuivenhoven, J. A., Zhernakova, A., & Fu, J. (2022). Publisher Correction: Age-dependent sex differences in cardiometabolic risk factors . Nature Cardiovascular Research, 1(10), 961. https://doi.org/10.1038/s44161-022-00146-1
Single-Cell EQTLGen Consortium, Bios Consortium , Oelen, R., de Vries, D. H., Brugge, H., Gordon, M. G., Vochteloo, M., Ye, C. J., Westra, H.-J., Franke, L., & van der Wijst, M. G. P. (2022). Single-cell RNA-sequencing of peripheral blood mononuclear cells reveals widespread, context-specific gene expression regulation upon pathogenic exposure. Nature Communications, 13(1), Article 3267. https://doi.org/10.1038/s41467-022-30893-5
BIOS Consortium, Vochteloo, M., Deelen, P., Vink, B., Tsai, E. A., Runz, H., Andreu-Sánchez, S., Fu, J., Zhernakova, A., Westra, H.-J., & Franke, L. (2022). Unbiased identification of unknown cellular and environmental factors that mediate eQTLs using principal interaction component analysis. BioRxiv. https://doi.org/10.1101/2022.07.28.501849
Lifelines Corona Research initiative, Dite, G. S., Murphy, N. M., Spaeth, E., & Allman, R. (2022). Validation of a clinical and genetic model for predicting severe COVID-19. Epidemiology And Infection, 150, Article e91. https://doi.org/10.1017/S0950268822000541
GenOMICC co-investigators, COVID-19 Human Genetics Initiative, 23andMe investigators, Kousathanas, A., Pairo-Castineira, E., Rawlik, K., Stuckey, A., Odhams, C. A., Walker, S., Russell, C. D., Malinauskas, T., Wu, Y., Millar, J., Shen, X., Elliott, K. S., Griffiths, F., Oosthuyzen, W., Morrice, K., Keating, S., ... Chan, G. (2022). Whole-genome sequencing reveals host factors underlying critical COVID-19. Nature, 607(7917), 97-103. https://doi.org/10.1038/s41586-022-04576-6

2021

Lifelines Cohort Study, Warmerdam, R., Lanting, P., Deelen, P., & Franke, L. (2022). Idéfix: identifying accidental sample mix-ups in biobanks using polygenic scores. Bioinformatics (Oxford, England), 38(4), 1059–1066. https://doi.org/10.1093/bioinformatics/btab783
Warmerdam, R., Lanting, P., Deelen, P., & Franke, L. (2022). Idéfix: identifying accidental sample mix-ups in biobanks using polygenic scores. (bioRxiv). BioRxiv. https://doi.org/10.1101/2021.03.12.435080
Lifelines Corona Research initiative, Zhang, J., Loman, L., Kamphuis, E., Schuttelaar, M. L. A., Boezen, H. M., Mierau, J., Franke, H. L., Dekens, J., Deelen, P., Lanting, P., Vonk, J. M., Nolte, I. M., Ori, A. P. S., Claringbould, A., Boulogne, F., Dijkema, M. X. L., Wiersma, H. H., Warmerdam, R., ... van Blokland, I. (2022). Impact of the COVID-19 pandemic on adults with moderate-to-severe atopic dermatitis in the Dutch general population. JAAD international, 6, 86-93. https://doi.org/10.1016/j.jdin.2021.12.006
van Blokland, I. V., Groot, H. E., Franke, L. H., van der Wijst, M. G. P., & van der Harst, P. (2022). Translational insights from single-cell technologies across the cardiovascular disease continuum. TRENDS IN CARDIOVASCULAR MEDICINE, 32(3), 127-135. https://doi.org/10.1016/j.tcm.2021.02.009
The International Headache Genetics Consortium (IHGC), Tanha, H. M., Martin, N. G., Whitfield, J. B., & Nyholt, D. R. (2021). Association and genetic overlap between clinical chemistry tests and migraine. Cephalalgia, 41(11-12), 1208-1221. https://doi.org/10.1177/03331024211018131
SLALOM Consortium, PARALS Consortium, SLAGEN Consortium, SLAP Consortium, van Rheenen, W., van der Spek, R. A. A., Bakker, M. K., van Vugt, J. J. F. A., Hop, P. J., Zwamborn, R. A. J., de Klein, N., Westra, H. J., Bakker, O. B., Deelen, P., Shireby, G., Hannon, E., Moisse, M., Baird, D., Restuadi, R., ... Veldink, J. H. (2021). Common and rare variant association analyses in amyotrophic lateral sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology. Nature genetics, 53(12), 1636-1648. https://doi.org/10.1038/s41588-021-00973-1
BIOS Consortium, Pellegrino-Coppola, D., Claringbould, A., Stutvoet, M., Boomsma, D. I., Ikram, M. A., Slagboom, P. E., Westra, H.-J., & Franke, L. (2021). Correction for both common and rare cell types in blood is important to identify genes that correlate with age. BMC Genomics, 22(1), Article 184. https://doi.org/10.1186/s12864-020-07344-w
BIOS Consortium, van Dongen, J., Hagenbeek, F. A., Suderman, M., Roetman, P. J., Sugden, K., Chiocchetti, A. G., Ismail, K., Mulder, R. H., Hafferty, J. D., Adams, M. J., Walker, R. M., Morris, S. W., Lahti, J., Küpers, L. K., Escaramis, G., Alemany, S., Jan Bonder, M., Meijer, M., ... Franke, L. (2021). DNA methylation signatures of aggression and closely related constructs: A meta-analysis of epigenome-wide studies across the lifespan. Molecular Psychiatry, 26, 2148-2162. https://doi.org/10.1038/s41380-020-00987-x
Karabegovic, I., Portilla-Fernandez, E., Li, Y., Ma, J., Maas, S. C. E., Sun, D., Hu, E. A., Kuhnel, B., Zhang, Y., Ambatipudi, S., Fiorito, G., Huang, J., Castillo-Fernandez, J. E., Wiggins, K. L., de Klein, N., Grioni, S., Swenson, B. R., Polidoro, S., Treur, J. L., ... Ghanbari, M. (2021). Epigenome-wide association meta-analysis of DNA methylation with coffee and tea consumption. Nature Communications, 12(1), Article 2830. https://doi.org/10.1038/s41467-021-22752-6
Zhang, Z., van Dijk, F., de Klein, N., van Gijn, M. E., Franke, L. H., Sinke, R. J., Swertz, M. A., & van der Velde, K. J. (2021). Feasibility of predicting allele specific expression from DNA sequencing using machine learning. Scientific Reports, 11(1), Article 10606. https://doi.org/10.1038/s41598-021-89904-y
Lifelines Corona Research initiative, Vloo, A., Alessie, R. J. M., Mierau, J. O., & Mierau, J. O. (2021). Gender differences in the mental health impact of the COVID-19 lockdown: Longitudinal evidence from the Netherlands. SSM - Population Health, 15, Article 100878. https://doi.org/10.1016/j.ssmph.2021.100878
Biobank-based Integrative Omics St, eQTLgen Consortium, BioBank Japan Project, China Kadoorie Biobank Collaborati, kConFab Investigators, Lifelines Cohort Study, InterAct Consortium, 23 Me Res Team, Ruth, K. S., Day, F. R., Hussain, J., Martinez-Marchal, A., Aiken, C. E., Azad, A., Thompson, D. J., Knoblochova, L., Abe, H., Tarry-Adkins, J. L., Gonzalez, J. M., ... Andersen, C. Y. (2021). Genetic insights into biological mechanisms governing human ovarian ageing. Nature, 596(7872), 393-397. https://doi.org/10.1038/s41586-021-03779-7
Peters, V., Tigchelaar-Feenstra, E. F., Imhann, F., Dekens, J. A. M., Swertz, M. A., Franke, L. H., Wijmenga, C., Weersma, R. K., Alizadeh, B. Z., Dijkstra, G., & Campmans-Kuijpers, M. J. E. (2021). Habitual dietary intake of IBD patients differs from population controls: A case-control study. European Journal of Nutrition, 60, 345–356. https://doi.org/10.1007/s00394-020-02250-z
Matzaraki, V., Le, K. T. T., Jaeger, M., Aguirre-Gamboa, R., Johnson, M. D., Sanna, S., Rosati, D., Franke, L., Zhernakova, A., Fu, J., Withoff, S., Jonkers, I., Li, Y., Joosten, L. A. B., Netea, M. G., Wijmenga, C., & Kumar, V. (2021). Inflammatory Protein Profiles in Plasma of Candidaemia Patients and the Contribution of Host Genetics to Their Variability. Frontiers in Immunology, 12, Article 662171. https://doi.org/10.3389/fimmu.2021.662171
Chu, X., Jaeger, M., Beumer, J., Bakker, O. B., Aguirre-Gamboa, R., Oosting, M., Smeekens, S. P., Moorlag, S., Mourits, V. P., Koeken, V. A. C. M., de Bree, C., Jansen, T., Mathews, I. T., Dao, K., Najhawan, M., Watrous, J. D., Joosten, I., Sharma, S., Koenen, H. J. P. M., ... Li, Y. (2021). Integration of metabolomics, genomics, and immune phenotypes reveals the causal roles of metabolites in disease. Genome Biology, 22(1), Article 198. https://doi.org/10.1186/s13059-021-02413-z
MiBioGen Consortium Initiative, Kurilshikov, A., Medina-Gomez, C., Bacigalupe, R., Radjabzadeh, D., Wang, J., Demirkan, A., Le Roy, C. I., Raygoza Garay, J. A., Finnicum, C. T., Liu, X., Zhernakova, D. V., Bonder, M. J., Hansen, T. H., Frost, F., Ruehlemann, M. C., Turpin, W., Moon, J.-Y., Kim, H.-N., ... Zhernakova, A. (2021). Large-scale association analyses identify host factors influencing human gut microbiome composition. Nature Genetics, 53, 156-165. https://doi.org/10.1038/s41588-020-00763-1
BIOS Consortium, i2QTL Consortium, Võsa, U., Claringbould, A., Westra, H.-J., Bonder, M. J., Deelen, P., Zeng, B., Kirsten, H., Saha, A., Kreuzhuber, R., Yazar, S., Brugge, H., Oelen, R., de Vries, D. H., van der Wijst, M. G. P., Kasela, S., Pervjakova, N., Alves, I., ... Franke, L. (2021). Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression. Nature Genetics, 53(9), 1300-1310. https://doi.org/10.1038/s41588-021-00913-z
Mc Intyre, K., Lanting, P., Deelen, P., Wiersma, H. H., Vonk, J. M., Ori, A. P. S., Jankipersadsing, S. A., Warmerdam, R., van Blokland, I., Boulogne, F., Dijkema, M. X. L., Herkert, J. C., Claringbould, A., Bakker, O., Lopera Maya, E. A., Bültmann, U., Zhernakova, A., Reijneveld, S. A., Zijlstra, E., ... Franke, L. (2021). Lifelines COVID-19 cohort: investigating COVID-19 infection and its health and societal impacts in a Dutch population-based cohort. BMJ Open, 11(3), Article e044474. https://doi.org/10.1136/bmjopen-2020-044474
COVID-19 Host Genetics Initiative, 23andMe COVID-19 Team, Norwegian SARS-CoV-2 Study Grp, Humanitas COVID-19 Task Force, Humanitas Gavazzeni COVID-19 Task, FHoGID, RegCOVID, P-PredictUs, SeroCOVID, CRiPSI, Genes & Hlth Res Team, & UCLA Hlth ATLAS Data Mart Working (2021). Mapping the human genetic architecture of COVID-19. Nature, 600, 472–477. https://doi.org/10.1038/s41586-021-03767-x
Estonian Biobank Research Team, Genetics of DNA Methylation Consortium, Schlosser, P., Tin, A., Matias-Garcia, P. R., Thio, C. H. L., Joehanes, R., Liu, H., Weihs, A., Yu, Z., Hoppmann, A., Grundner-Culemann, F., Min, J. L., Adeyemo, A. A., Agyemang, C., Ärnlöv, J., Aziz, N. A., Baccarelli, A., Bochud, M., ... Snieder, H. (2021). Meta-analyses identify DNA methylation associated with kidney function and damage. Nature Communications, 12, Article 7174. https://doi.org/10.1038/s41467-021-27234-3
Hemani, G., Powell, J. E., Wang, H., Shakhbazov, K., Westra, H.-J., Esko, T., Henders, A. K., McRae, A. F., Martin, N. G., Metspalu, A., Franke, L., Montgomery, G. W., Goddard, M. E., Gibson, G., Yang, J., & Visscher, P. M. (2021). Phantom epistasis between unlinked loci. Nature, 596(7871), E1-E3. https://doi.org/10.1038/s41586-021-03765-z
Ballering, A. V., Oertelt-Prigione, S., Olde Hartman, T. C., Rosmalen, J. G. M., Boezen, M., Mierau, J. O., Franke, L. H., Dekens, J., Deelen, P., Lanting, P., Vonk, J. M., Nolte, I., Ori, A. P. S., Claringbould, A., Boulogne, F., Dijkema, M. X. L., Wiersma, H. H., Warmerdam, R., & Jankipersadsing, S. A. (2021). Sex and Gender-Related Differences in COVID-19 Diagnoses and SARS-CoV-2 Testing Practices During the First Wave of the Pandemic: The Dutch Lifelines COVID-19 Cohort Study. Journal of Womens Health, 30(12), 1686-1692. https://doi.org/10.1089/jwh.2021.0226
BIOS Consortium, van der Graaf, A., Zorro, M. M., Claringbould, A., Vosa, U., Aguirre-Gamboa, R., Li, C., Mooiweer, J., Ricano-Ponce, I., Borek, Z., Koning, F., Kooy-Winkelaar, Y., Sollid, L. M., Qiao, S.-W., Kumar, V., Li, Y., Franke, L., Withoff, S., Wijmenga, C., ... Jonkers, I. (2021). Systematic Prioritization of Candidate Genes in Disease Loci Identifies TRAFD1 as a Master Regulator of IFN gamma Signaling in Celiac Disease. Frontiers in Genetics, 11, 562434. Article 562434. https://doi.org/10.3389/fgene.2020.562434
Lifelines COVID-19 cohort study, van Blokland, I. V., Lanting, P., Ori, A. P. S., Vonk, J. M., Warmerdam, R. C. A., Herkert, J. C., Boulogne, F., Claringbould, A., Lopera-Maya, E. A., Bartels, M., Hottenga, J.-J., Ganna, A., & Karjalainen, J. (2021). Using symptom-based case predictions to identify host genetic factors that contribute to COVID-19 susceptibility. PLoS ONE, 16(8), Article e0255402. https://doi.org/10.1371/journal.pone.0255402

2020

BIOS Consortium, Ouwens, K. G., Jansen, R., Nivard, M. G., van Dongen, J., Frieser, M. J., Hottenga, J.-J., Arindrarto, W., Claringbould, A., van Iterson, M., Mei, H., & Franke, L. (2020). A characterization of cis- and trans-heritability of RNA-Seq-based gene expression. European Journal of Human Genetics, 28(2), 253-263. https://doi.org/10.1038/s41431-019-0511-5
The International Headache Genetics Consortium, The 23andMe Research Team, Guo, Y., Rist, P. M., Daghlas, I., Giulianini, F., Kurth, T., & Chasman, D. I. (2020). A genome-wide cross-phenotype meta-analysis of the association of blood pressure with migraine. Nature Communications, 11(1), Article 3368. https://doi.org/10.1038/s41467-020-17002-0
BIOS Consortium, Lu, X., Fraszczyk, E., van der Meer, T. P., van Faassen, M., Bloks, V. W., Kema, I. P., van Beek, A. P., Li, S., Franke, L., Westra, H.-J., Xu, X., Huo, X., Snieder, H., Wolffenbuttel, B. H. R., & van Vliet-Ostaptchouk, J. V. (2020). An epigenome-wide association study identifies multiple DNA methylation markers of exposure to endocrine disruptors. Environment international, 144, Article 106016. https://doi.org/10.1016/j.envint.2020.106016
International Network against Thrombosis (INVENT) Consortium, International Headache Genomics Consortium (IHGC), Sargurupremraj, M., Suzuki, H., Jian, X., Sarnowski, C., Evans, T. E., Bis, J. C., Eiriksdottir, G., Sakaue, S., Terzikhan, N., Habes, M., Zhao, W., Armstrong, N. J., Hofer, E., Yanek, L. R., Hagenaars, S. P., Kumar, R. B., van den Akker, E. B., ... Niessen, W. J. (2020). Cerebral small vessel disease genomics and its implications across the lifespan. Nature Communications, 11(1), Article 6285. https://doi.org/10.1038/s41467-020-19111-2
Schizophrenia Working Group of the Psychiatric Genomics Consortium, Psychosis Endophenotypes International Consortium, Wellcome Trust Case–Control Consortium 2, Kamitaki, N., Sekar, A., Handsaker, R. E., de Rivera, H., Tooley, K., Morris, D. L., Taylor, K. E., Whelan, C. W., Tombleson, P., & Loohuis, L. M. O. (2020). Complement genes contribute sex-biased vulnerability in diverse disorders. Nature, 582(7813), 577-581. https://doi.org/10.1038/s41586-020-2277-x
BIOS Consortium, Aguirre-Gamboa, R., de Klein, N., di Tommaso, J., Claringbould, A., van der Wijst, M. G. P., de Vries, D., Brugge, H., Oelen, R., Vosa, U., Zorro, M. M., Chu, X., Bakker, O. B., Borek, Z., Ricano-Ponce, I., Deelen, P., Xu, C.-J., Swertz, M., Jonkers, I., ... Li, Y. (2020). Deconvolution of bulk blood eQTL effects into immune cell subpopulations. Bmc Bioinformatics, 21(1), Article 243. https://doi.org/10.1186/s12859-020-03576-5
Claus, L. R., Boulogne, F., Lilien, M. R., Rookmaaker, M. B., van der Zwaag, A., Nguyen, T. Q., Verhaar, M. C., Knoers, N. V. A. M., Deelen, P., Franke, L., de Borst, M. H., & van Eerde, A. M. (2020). GeNepher: building a data- and biobank for (suspected) hereditary renal disease. European Journal of Human Genetics, 28(SUPPL 1), 821-822.
Folkersen, L., Gustafsson, S., Wang, Q., Hansen, D. H., Hedman, Å. K., Schork, A., Page, K., Zhernakova, D. V., Wu, Y., Peters, J., Eriksson, N., Bergen, S. E., Boutin, T. S., Bretherick, A. D., Enroth, S., Kalnapenkis, A., Gådin, J. R., Suur, B. E., Chen, Y., ... Mälarstig, A. (2020). Genomic and drug target evaluation of 90 cardiovascular proteins in 30,931 individuals. Nature Metabolism, 2(10), 1135-1148. https://doi.org/10.1038/s42255-020-00287-2
Huang, Y., Ollikainen, M., Muniandy, M., Zhang, T., van Dongen, J., Hao, G., van Der Most, P. J., Pan, Y., Pervjakova, N., Sun, Y., Hui, Q., Lahti, J., Fraszczyk, E., Lu, X., Sun, D., Richard, M. A., Willemsen, G., Heikkila, K., Leach, I. M., ... Snieder, H. (2020). Identification, Heritability, and Relation With Gene Expression of Novel DNA Methylation Loci for Blood Pressure. Hypertension, 76(1), 195-205. https://doi.org/10.1161/HYPERTENSIONAHA.120.14973
de Vries, D. H., Matzaraki, V., Bakker, O. B., Brugge, H., Westra, H.-J., Netea, M. G., Franke, L., Kumar, V., & van der Wijst, M. G. P. (2020). Integrating GWAS with bulk and single-cell RNA-sequencing reveals a role for LY86 in the anti-Candida host response. PLoS Pathogens, 16(4), Article 1008408. https://doi.org/10.1371/journal.ppat.1008408
Lifelines Cohort Study, Lopera Maya, E. A., van der Graaf, A., Lanting, P., van der Geest, M., Fu, J., Swertz, M., Franke, L., Wijmenga, C., Deelen, P., Zhernakova, A., & Sanna, S. (2020). Lack of Association Between Genetic Variants at ACE2 and TMPRSS2 Genes Involved in SARS-CoV-2 Infection and Human Quantitative Phenotypes. Frontiers in Genetics, 11, Article 613. https://doi.org/10.3389/fgene.2020.00613
BIOS Consortium, van der Graaf, A., Claringbould, A., Rimbert, A., Westra, H.-J., Li, Y., Wijmenga, C., Sanna, S., & Franke, L. (2020). Mendelian randomization while jointly modeling cis genetics identifies causal relationships between gene expression and lipids. Nature Communications, 11(1), Article 4930. https://doi.org/10.1038/s41467-020-18716-x
Lanting, P., Drenth, E., Boven, L., van Hoek, A., Hijlkema, A., Poot, E., van der Vries, G., Schoevers, R., Horwitz, E., Gans, R., Kosterink, J., Plantinga, M., van Langen, I., Ranchor, A., Wijmenga, C., Franke, L., Wilffert, B., & Sijmons, R. (2020). Practical Barriers and Facilitators Experienced by Patients, Pharmacists and Physicians to the Implementation of Pharmacogenomic Screening in Dutch Outpatient Hospital Care-An Explorative Pilot Study. Journal of personalized medicine, 10(4), 1-13. Article 293. https://doi.org/10.3390/jpm10040293
Bangma, A., Voskuil, M. D., Uniken Venema, W. T. C., Brugge, H., Hu, S., Lanting, P., Franke, L., Dijkstra, G., Festen, E. A. M., & Weersma, R. K. (2020). Predicted efficacy of a pharmacogenetic passport for inflammatory bowel disease. Alimentary Pharmacology & Therapeutics, 51(11), 1105-1115. https://doi.org/10.1111/apt.15762
Van Der Wijst, M. G. P., De Vries, D. H., Groot, H. E., Trynka, G., Hon, C. C., Bonder, M. J., Stegle, O., Nawijn, M. C., Idaghdour, Y., Van Der Harst, P., Ye, C. J., Powell, J., Theis, F. J., Mahfouz, A., Heing, M., & Franke, L. (2020). The single-cell eQTLGen consortium. eLife, 9, Article 52155. https://doi.org/10.7554/eLife.52155

2019

BIOS Consortium (2019). A linear mixed-model approach to study multivariate gene-environment interactions. Nature Genetics, 51(1), 180-186. https://doi.org/10.1038/s41588-018-0271-0
BIOS Consortium (2019). Allele specific expression identifies rare variants as cause for extreme allelic imbalance. European Journal of Human Genetics, 27, 601.
Clark, D. W., Okada, Y., Moore, K. H. S., Mason, D., Pirastu, N., Gandin, I., Mattsson, H., Barnes, C. L. K., Lin, K., Zhao, J. H., Deelen, P., Rohde, R., Schurmann, C., Guo, X., Giulianini, F., Zhang, W., Medina-Gomez, C., Karlsson, R., Bao, Y., ... Wilson, J. F. (2019). Associations of autozygosity with a broad range of human phenotypes. Nature Communications, 10(1), Article 4957. https://doi.org/10.1038/s41467-019-12283-6
Sanna, S., van Zuydam, N. R., Mahajan, A., Kurilshikov, A., Vich Vila, A., Võsa, U., Mujagic, Z., Masclee, A. A. M., Jonkers, D. M. A. E., Oosting, M., Joosten, L. A. B., Netea, M. G., Franke, L., Zhernakova, A., Fu, J., Wijmenga, C., & McCarthy, M. I. (2019). Causal relationships among the gut microbiome, short-chain fatty acids and metabolic diseases. Nature Genetics, 51(4), 600-605. https://doi.org/10.1038/s41588-019-0350-x
Zeng, B., Lloyd-Jones, L. R., Montgomery, G. W., Metspalu, A., Esko, T., Franke, L., Vosa, U., Claringbould, A., Brigham, K. L., Quyyumi, A. A., Idaghdour, Y., Yang, J., Visscher, P. M., Powell, J. E., & Gibson, G. (2019). Comprehensive Multiple eQTL Detection and Its Application to GWAS Interpretation. Genetics, 212(3), 905-918. https://doi.org/10.1534/genetics.119.302091
BIOS Consortium, van Dongen, J., Zilhao, N. R., Sugden, K., Hannon, E. J., Mill, J., Caspi, A., Agnew-Blais, J., Arseneault, L., Corcoran, D. L., Moffitt, T. E., Poulton, R., Franke, B., & Boomsma, D. (2019). Epigenome-wide Association Study of Attention-Deficit/Hyperactivity Disorder Symptoms in Adults. Biological Psychiatry, 86(8), 599-607. https://doi.org/10.1016/j.biopsych.2019.02.016
BIOS Consortium, van Rooij, J., Mandaviya, P. R., Claringbould, A., Felix, J. F., van Dongen, J., Jansen, R., Franke, L., 't Hoen, P. A. C., Heijmans, B., & van Meurs, J. B. J. (2019). Evaluation of commonly used analysis strategies for epigenome- and transcriptome-wide association studies through replication of large-scale population studies. Genome Biology, 20(1), Article 235. https://doi.org/10.1186/s13059-019-1878-x
CommonMind Consortium, Psychiat Genomics Consortium, iPSYCH-GEMS Schizophrenia Working, Huckins, L. M., Dobbyn, A., Ruderfer, D. M., Hoffman, G., Wang, W., Pardinas, A. F., Rajagopal, V. M., Als, T. D., Nguyen, H. T., Girdhar, K., Boocock, J., Roussos, P., Fromer, M., Kramer, R., Purcell, S., Demontis, D., ... Stahl, E. A. (2019). Gene expression imputation across multiple brain regions provides insights into schizophrenia risk. Nature Genetics, 51(4), 659-674. https://doi.org/10.1038/s41588-019-0364-4
23and Me Res Team, eQTLgen Consortium, Int Cannabis Consortium, & Soc Sci Genetic Association Con (2019). Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences. Nature Genetics, 51(2), 245-257. https://doi.org/10.1038/s41588-018-0309-3
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