Franke, prof. dr. Lude
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.
Jonge Akademie, Lude Franke
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.
Eerder in het nieuws
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
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
eQTLgen
Consortium, Timmers, P. R., Mounier, N., Lall, K., Fischer, K.,
Ning, Z., Feng, X., Bretherick, A. D., & Clark, D. W. (2019).
Genomics of 1 million parent lifespans implicates novel
pathways and common diseases and distinguishes survival
chances. eLife, 8, Article
39856. https://doi.org/10.7554/eLife.39856
| Laatst gewijzigd: | 23 september 2024 09:25 |
View this page in: English