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
- Zit het volgen van coronaregels in je DNA?
- Invloed DNA op gedrag en welbevinden tijdens coronacrisis steeds groter
- Lude Franke ontvangt Vici-subsidie
- Mentale gezondheid daalt tot dieptepunt sinds begin coronacrisis
- UMCG doet onderzoek naar de afweer tegen Covid-19 bij groep Lifelines-deelnemers
- Ernst ziektebeloop COVID-19 deels erfelijk bepaald
- Bijdragen aan beter begrip waarom sommige mensen ernstig ziek worden van corona
- Wie wordt er ziek van corona?
- 'Onderzoek naar waarom klachten bij coronapatiënten verschillen'
- Tien nieuwe leden van De Jonge Akademie
- Lifelines en UMCG betrokken bij samenwerking aan big data voor het ontrafelen van ziekteprocessen
- Nieuwe methode maakt grotere studies naar ontstaan kanker mogelijk
- ERC Starting Grant voor Lude Franke
- VIDI voor Lude Franke
- ‘Big data’-revolutie geeft nieuw inzicht hoe ziekten ontstaan
2024
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
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), 29. Advance online publication. https://doi.org/10.1186/s13059-023-03151-0
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
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
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. H., & van der
Wijst, M. G. P. (2023). Single-cell dissection of
the immune response after acute myocardial infarction.
MedRxiv. https://doi.org/10.1101/2023.05.02.23289370
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
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