Franke, prof. dr. Lude
Lude Franke is hoogleraar Functional Genomics bij het UMCG. Als statistisch geneticus richt hij zich op het analyseren van gegevens over de genetica van complexe ziekten en auto-immuunziekten (zoals coeliakie).
Jonge Akademie, Lude Franke
Lude Franke heeft 'niet-coderende' DNA, het deel van het DNA dat niet vertaald wordt in eiwitten, onderzocht en creëerde zo meer inzicht in hoe cellen en organismen werken, maar ook aanknopingspunten voor nieuwe medicijnen. Tijdens de coronacrisis ontwikkelde hij de Corona Barometer, die inzicht bood in het verloop van de epidemie. Bovendien liep Franke voorop in het vertalen van de nieuwe inzichten naar medische toepassing, zoals een goedkoop DNA-medicatie paspoort, dat de reactie op bepaalde medicijnen voorspelt. Franke heeft ook nog eens talent voor wetenschappelijke visualisatie, en won daar meerdere prijzen mee.
Dankzij een Veni-subsidie (2009), een Horizon-beurs (2009), een ERC Starting Grant (2014) en een Vidi-subsidie (2014) kon Franke onderzoek doen naar moleculaire effecten van mutaties die ziektes veroorzaken. 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.
Lude Franke is een van de 'founding members' van de Young Academy Groningen en sinds 2026 lid van de Koninklijke Nederlandse Akademie van Wetenschappen (KNAW).
Eerder in het nieuws
2026
Maassen,
W. T. K., Pape, C. C. E. T.,
Urzua-Traslavina, C. G., Niemeijer, T., van Lieshout,
T., van der Molen, M., Johansson, L. F.,
van der Velde, K. J., Franke, L., van
Gijn, M. E., & Swertz, M. A. (2026).
Accelerating rare disease diagnostics by linking DNA and RNA
through an explainable and interactive RNA-guided workflow.
NAR genomics and bioinformatics,
8(1), lqag016. https://doi.org/10.1093/nargab/lqag016
2025
Sinke,
L., Delerue, T., Wilson, R., Lu, X., Xia, Y.,
Costeira, R., Nasr, M. K., Beekman, M., Franke,
L., Zhernakova, A., Fu, J.,
Gieger, C., Herder, C., Koenig, W., Peters, A., Ordovas, J. M.,
Dörr, M., Grabe, H. J., Nauck, M., ... Heijmans, B. T. (2026).
DNA methylation of genes involved in lipid metabolism drives
adiponectin levels and metabolic disease.
Diabetologia, 69, 127-145. https://doi.org/10.1007/s00125-025-06549-6
Long
COVID Host Genetics Initiative, FinnGen, VA Million Veteran
Program, MexGen-COVID Initiative, DBDS Genomic Consortium,
GEN-COVID Multicenter Study, PHOSP-COVID Collaborative Group,
GENCOV Study, Estonian Biobank Research Team, Lammi, V., Nakanishi,
T., Jones, S. E., Andrews, S. J., Karjalainen, J., Cortés, B.,
O’Brien, H. E., Ochoa-Guzman, A., Fulton-Howard, B. E.,
Broberg, M., ... Ollila, H. M. (2025). Genome-wide
association study of long COVID. Nature
genetics, 57(6), 1402-1417. https://doi.org/10.1038/s41588-025-02100-w
van
Lieshout, T., Urzúa-Traslaviña, C.
G., Barbadilla-Martínez, L., Luong Boi, M. C.,
Westra, H.-J., Klaassen, N. H. M., Franceschini-Santos, V.
H., Parra-Martínez, M., de Ridder, J., van Steensel, B.,
Voest, E., & Franke, L. H. (2025).
Identification of (ultra-)rare functional promoter
mutations in cancer using sequence-based deep learning
models. MedRxiv. https://doi.org/10.1101/2025.05.06.25327057
Lifelines
Cohort Study, He, W., van der Most, P. J., Ong, J.-S.,
Hwang, L.-D., Wu, Y., Magnø, M. S., Vehof,
J., Krebs, K., Mauring, L., Õunap, K., Abner, E.,
Martin, N. G., Plotnikov, D., Jiang, C., Melles, R. B.,
Gharahkhani, P., Snieder, H., Palumaa, T., ...
MacGregor, S. (2025). Large-scale GWAS of strabismus
identifies risk loci and provides support for a link with maternal
smoking. Nature Communications,
16, Article 7890. https://doi.org/10.1038/s41467-025-62456-9
Lifelines
NEXT cohort study, Lanting, P., Warmerdam,
R., Slager, J., Brugge, H.,
Ochi, T., Benjamins, M., Lopera-Maya,
E., Jankipersadsing, S.,
Gelderloos-Arends, J., Teuben, D., Hendriksen,
D., Charbon, B., Johansson,
L., Munnink, T. O., de Boer-Veger, N.,
Wilffert, B., Swertz, M., Touw,
D., ... Franke, L. (2025). Low-cost
generation of clinical-grade, layperson-friendly pharmacogenetic
passports using oligonucleotide arrays. American
Journal of Human Genetics, 112(5), 1015-1028.
https://doi.org/10.1016/j.ajhg.2025.03.003
sc-eQTLGen
Consortium, Korshevniuk, M., Westra, H.
J., Oelen, R., van der Wijst, M. G.
P., Franke, L., & Bonder, M.
J. (2025). Optimized summary-statistic-based
single-cell eQTL meta-analysis. Scientific
Reports, 15(1), Article 28407. https://doi.org/10.1038/s41598-025-08808-3
Lifelines
Corona Research initiative, Dalla Riva, G. M.
S., van Zon, S. K. R., Ots,
P., van Den Berg, G., Brouwer,
S., & van Ooijen, R. (2025).
Productivity changes during the COVID-19 pandemic and its
associated risk factors. Scandinavian Journal of
Work, Environment and Health, 51(5), 394-403.
https://doi.org/10.5271/sjweh.4237
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L. I., Sijtema, A. G., Appels, Y., Screever, E.
M., van Blokland, I. V., Oelen,
R., Groot, H. E., Gergely, T. G., Kocsis, M.,
Leszek, P., Varga, Z. V., Aboumsallem, J. P., der Harst, P.
V., Franke, L. H., van der Wijst, M. G.
P., de Boer, R. A., Lipšic,
E., & Meijers, W. C. (2025). The
immune checkpoint TIM-3/HMGB-1 axis in myocardial
infarction. npj Cardiovascular Health,
2(1), Article 32. https://doi.org/10.1038/s44325-025-00061-x
Ramírez-Sánchez,
A. D., Zühlke, S., Aguirre-Gamboa,
R., Vochteloo, M., Franke, L.,
Lundin, K. E. A., Withoff, S., & Jonkers, I.
H. (2025). Transcriptomics and eQTLs reveal
inflammatory heterogeneity in the duodenal lining in coeliac
disease. Genes & Immunity,
26, 519–530. https://doi.org/10.1038/s41435-025-00356-0
eQTLgen
Consortium, Freimann, K., Brümmer, A., Warmerdam,
R., Rupall, T. S., Hernández-Ledesma, A. L., Chiou, J.,
Holzinger, E. R., Maranville, J. C., Nakic, N., Ongen, H.,
Stefanucci, L., Turchin, M. C., Franke, L.,
Võsa, U., Jones, C. P., Medina-Rivera, A., Trynka, G.,
Kisand, K., ... Alasoo, K. (2025). Trans-eQTL mapping
prioritises USP18 as a negative regulator of interferon response at
a lupus risk locus. Nature
Communications, 16, Article 8795. https://doi.org/10.1038/s41467-025-63856-7
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
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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
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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
Ramírez-Sánchez,
A., Zühlke, S., Aguirre-Gamboa, R.,
Vochteloo, M., Franke, L., Lundin, K. E.
A., Withoff, S., & Jonkers, I. H.
(2024). Gene expression and eQTL analysis reflect the
heterogeneity in the inflammatory status of the duodenal epithelial
lining in coeliac disease. BioRxiv. https://doi.org/10.1101/2024.02.29.582756
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
Bakker,
O. B., Claringbould, A., Westra, H.
J., Wiersma, H., Boulogne,
F., Võsa, U.,
Urzúa-Traslaviña, C. G., Mulcahy Symmons, S.,
Zidan, M. M. M., Sadler, M. C., Kutalik, Z., Jonkers, I.
H., Franke, L., & Deelen, P.
(2024). Identification of rare disease genes as drivers of
common diseases through tissue-specific gene regulatory
networks. Scientific Reports,
14, Article 30206. https://doi.org/10.1038/s41598-024-80670-1
Demirkan,
A., van Dongen, J., Finnicum, C. T., Westra, H.
J., Jankipersadsing, S., Willemsen, G.,
Ijzerman, R. G., Boomsma, D. I., Ehli, E. A., Bonder, M.
J., Fu, J., Franke, L.,
Wijmenga, C., de Geus, E. J. C., Kurilshikov,
A., & Zhernakova, A. (2024). Linking
the gut microbiome to host DNA methylation by a discovery and
replication epigenome-wide association study. BMC
Genomics, 25, Article 1224. https://doi.org/10.1186/s12864-024-11136-x
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
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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
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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
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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
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Host Genetics Initiative (2022). A first update on mapping
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S., Andreu-Sánchez, S., Chen,
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Sinha, T., Collij, V., Klaassen, M. A.
Y., Bolte, L. A., Gois, M. F.
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J. J. F. A., Hop, P. J., Zwamborn, R. A. J., de Klein,
N., Westra, H.-J., Bakker, O.
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Ligthart, L., van Beijsterveldt, C. E. M., Willemsen, G., de Geus,
E. J. C., Beck, J. J., Ehli, E. A., Cuellar-Partida, G., Evans, D.
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Y., Bolte, L. A., Brandao Gois, M.
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M., Franke, L., Wijmenga,
C., Fu, J., van der Wijst, M. G.
P., Melé, M., Lansdorp, P., &
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factors influence telomere length. Communications
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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
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(2022). Genome-wide study of DNA methylation shows
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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
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J. O., Franke, H. L., Dekens,
J., Deelen, P., Lanting, P.,
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fine-mapping is often miscalibrated at single-variant
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M., Claringbould, A., Porcu, E., Kals, M.,
Jürgenson, T., Morris, A. P., Võsa, U.,
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S. M., Sidorenko, J., Kweon, H., Goldman, G., Gjorgjieva, T.,
Jiang, Y., Hicks, B., Tian, C., Hinds, D. A., Ahlskog, R.,
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Polygenic prediction of educational attainment within and
between families from genome-wide association analyses in 3 million
individuals. Nature genetics,
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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
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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,
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S., Fu, J., Zhernakova, A.,
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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
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GenOMICC
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Stuckey, A., Odhams, C. A., Walker, S., Russell, C. D.,
Malinauskas, T., Wu, Y., Millar, J., Shen, X., Elliott, K. S.,
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G. (2022). Whole-genome sequencing reveals host factors
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2021
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P., Deelen, P., & Franke, L.
(2022). Idéfix: identifying accidental sample mix-ups in
biobanks using polygenic scores. Bioinformatics
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R., Lanting, P., Deelen, P.,
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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
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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
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The
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Association and genetic overlap between clinical chemistry
tests and migraine. Cephalalgia,
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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.
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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
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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
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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
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Corona Research initiative, Vloo, A., Alessie, R. J.
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O. (2021). Gender differences in the mental health
impact of the COVID-19 lockdown: Longitudinal evidence from the
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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,
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insights into biological mechanisms governing human ovarian
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V., Tigchelaar-Feenstra, E. F., Imhann,
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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
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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
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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.
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Y. (2021). Integration of metabolomics, genomics, and
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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.
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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
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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
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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.
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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),
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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
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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
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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.
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