137 results on '"Koks S."'
Search Results
2. Mendelian Randomisation Study of Smoking, Alcohol, and Coffee Drinking in Relation to Parkinson's Disease
- Author
-
Domenighetti, C. Sugier, P.-E. Sreelatha, A.A.K. Schulte, C. Grover, S. Mohamed, O. Portugal, B. May, P. Bobbili, D.R. Radivojkov-Blagojevic, M. Lichtner, P. Singleton, A.B. Hernandez, D.G. Edsall, C. Mellick, G.D. Zimprich, A. Pirker, W. Rogaeva, E. Lang, A.E. Koks, S. Taba, P. Lesage, S. Brice, A. Corvol, J.-C. Chartier-Harlin, M.-C. Mutez, E. Brockmann, K. Deutschländer, A.B. Hadjigeorgiou, G.M. Dardiotis, E. Stefanis, L. Simitsi, A.M. Valente, E.M. Petrucci, S. Duga, S. Straniero, L. Zecchinelli, A. Pezzoli, G. Brighina, L. Ferrarese, C. Annesi, G. Quattrone, A. Gagliardi, M. Matsuo, H. Kawamura, Y. Hattori, N. Nishioka, K. Chung, S.J. Kim, Y.J. Kolber, P. Van De Warrenburg, B.P.C. Bloem, B.R. Aasly, J. Toft, M. Pihlstrøm, L. Guedes, L.C. Ferreira, J.J. Bardien, S. Carr, J. Tolosa, E. Ezquerra, M. Pastor, P. Diez-Fairen, M. Wirdefeldt, K. Pedersen, N.L. Ran, C. Belin, A.C. Puschmann, A. Hellberg, C. Clarke, C.E. Morrison, K.E. Tan, M. Krainc, D. Burbulla, L.F. Farrer, M.J. Krüger, R. Gasser, T. Sharma, M. Elbaz, A.
- Abstract
Background: Previous studies showed that lifestyle behaviors (cigarette smoking, alcohol, coffee) are inversely associated with Parkinson's disease (PD). The prodromal phase of PD raises the possibility that these associations may be explained by reverse causation. Objective: To examine associations of lifestyle behaviors with PD using two-sample Mendelian randomisation (MR) and the potential for survival and incidence-prevalence biases. Methods: We used summary statistics from publicly available studies to estimate the association of genetic polymorphisms with lifestyle behaviors, and from Courage-PD (7,369 cases, 7,018 controls; European ancestry) to estimate the association of these variants with PD. We used the inverse-variance weighted method to compute odds ratios (ORIVW) of PD and 95%confidence intervals (CI). Significance was determined using a Bonferroni-corrected significance threshold (p = 0.017). Results: We found a significant inverse association between smoking initiation and PD (ORIVW per 1-SD increase in the prevalence of ever smoking = 0.74, 95%CI = 0.60-0.93, p = 0.009) without significant directional pleiotropy. Associations in participants =67 years old and cases with disease duration =7 years were of a similar size. No significant associations were observed for alcohol and coffee drinking. In reverse MR, genetic liability toward PD was not associated with smoking or coffee drinking but was positively associated with alcohol drinking. Conclusion: Our findings are in favor of an inverse association between smoking and PD that is not explained by reverse causation, confounding, and survival or incidence-prevalence biases. Genetic liability toward PD was positively associated with alcohol drinking. Conclusions on the association of alcohol and coffee drinking with PD are hampered by insufficient statistical power. © 2022 - IOS Press. All rights reserved.
- Published
- 2022
3. The role of neurotrophins and neurexins genes in the risk of paranoid schizophrenia in Russians and Tatars
- Author
-
Gareeva, A. E., Traks, T., Koks, S., and Khusnutdinova, E. K.
- Published
- 2015
- Full Text
- View/download PDF
4. Finding genetically-supported drug targets for Parkinson’s disease using Mendelian randomization of the druggable genome
- Author
-
Storm, Catherine S., Kia, Demis A., Almramhi, Mona M., Bandres-Ciga, Sara, Finan, Chris, Noyce, A. J., Kaiyrzhanov, R., Middlehurst, B., Tan, M., Houlden, H., Morris, H. R., Plun-Favreau, H., Holmans, P., Hardy, J., Trabzuni, D., Quinn, J., Bubb, V., Mok, K. Y., Kinghorn, K. J., Lewis, P., Schreglmann, S. R., Lovering, R., R'Bibo, L., Manzoni, C., Rizig, M., Ryten, M., Guelfi, S., Escott-Price, V., Chelban, V., Foltynie, T., Williams, N., Morrison, K. E., Clarke, C., Harvey, K., Jacobs, B. M., Brice, Alexis, Danjou, F., Lesage, S., Corvol, J. C., Martinez, M., Schulte, C., Brockmann, K., Simón-Sánchez, J., Heutink, P., Rizzu, P., Sharma, M., Gasser, T., Schneider, S. A., Cookson, M. R., Blauwendraat, C., Craig, D. W., Billingsley, K., Makarious, M. B., Narendra, D. P., Faghri, F., Gibbs, J. R., Hernandez, D. G., Van Keuren-Jensen, K., Shulman, J. M., Iwaki, H., Leonard, H. L., Nalls, M. A., Robak, L., Bras, J., Guerreiro, R., Lubbe, S., Troycoco, T., Finkbeiner, S., Mencacci, N. E., Lungu, C., Singleton, A. B., Scholz, S. W., Reed, X., Uitti, R. J., Ross, O. A., Grenn, F. P., Moore, A., Alcalay, R. N., Wszolek, Z. K., Gan-Or, Z., Rouleau, G. A., Krohn, L., Mufti, K., van Hilten, J. J., Marinus, J., Adarmes-Gómez, A. D., Aguilar Barberà, Miquel, Álvarez Angulo, Iñaki, Alvarez, V., Barrero, F. J., Yarza, J. A. B., Bernal-Bernal, I., Blázquez Estrada, M, Bonilla-Toribio, M., Botía, J. A., Boungiorno, M. T., Buiza-Rueda, Dolores, Cámara, A., Carrillo, F., Carrión-Claro, M., Cerdan, D., Clarimón, Jordi, Compta, Y., Diez-Fairen, M., Dols-Icardo, Oriol, Duarte, J., Duran, R., Escamilla-Sevilla, F., Ezquerra, M., Feliz, C., Fernández, M., Fernández-Santiago, R., Garcia, C., García-Ruiz, P., Gómez-Garre, P., Heredia, M. J. G., Gonzalez-Aramburu, I., Pagola, A. G., Hoenicka, J., Infante, J., Jesús, S., Jimenez-Escrig, A., Kulisevsky, Jaime, Labrador-Espinosa, M. A., Lopez-Sendon, J. L., de Munain Arregui, A. L., Macias, D., Torres, I. M., Marín, J., Marti, M. J., Martínez-Castrillo, J. C., Méndez-del-Barrio, C., González, M. M., Mata, M., Mínguez, A., Mir, P., Rezola, E. M., Muñoz, E., Pagonabarraga, J., Pastor, P., Errazquin, F. P., Periñán-Tocino, T., Ruiz-Martínez, J., Ruz, C., Rodriguez, A. S., Sierra, M., Suarez-Sanmartin, E., Tabernero, C., Tartari, J. P., Tejera-Parrado, C., Tolosa, E., Valldeoriola, F., Vargas-González, L., Vela, Lydia, Vives, F., Zimprich, A., Pihlstrom, L., Toft, M., Taba, P., Koks, S., Hassin-Baer, S., Majamaa, K., Siitonen, A., Tienari, P., Okubadejo, N. U., Ojo, O. O., Shashkin, C., Zharkinbekova, N., Akhmetzhanov, V., Kaishybayeva, G., Karimova, A., Khaibullin, T., Lynch, T. L., Hingorani, Aroon, Wood, Nicholas W.., Universitat Autònoma de Barcelona, Rosetrees Trust, John Black Charitable Foundation, University College London, King Abdulaziz University, National Institute for Health Research (UK), Universidad de Cantabria, HUS Neurocenter, Department of Neurosciences, and Clinicum
- Subjects
Aging ,Science ,Quantitative Trait Loci ,General Physics and Astronomy ,Neurodegenerative ,3124 Neurology and psychiatry ,General Biochemistry, Genetics and Molecular Biology ,Article ,Cohort Studies ,Risk Factors ,Genetics research ,Genetics ,2.1 Biological and endogenous factors ,Humans ,Genetic Predisposition to Disease ,Aetiology ,Multidisciplinary ,Genome ,Parkinson's Disease ,Genome, Human ,Prevention ,3112 Neurosciences ,Neurosciences ,Brain ,Genetic Variation ,Parkinson Disease ,General Chemistry ,Mendelian Randomization Analysis ,International Parkinson’s Disease Genomics Consortium ,Brain Disorders ,Good Health and Well Being ,Gene Expression Regulation ,Neurology ,5.1 Pharmaceuticals ,Case-Control Studies ,Neurological ,Disease Progression ,Development of treatments and therapeutic interventions ,Human ,Biotechnology - Abstract
Parkinson’s disease is a neurodegenerative movement disorder that currently has no disease-modifying treatment, partly owing to inefficiencies in drug target identification and validation. We use Mendelian randomization to investigate over 3,000 genes that encode druggable proteins and predict their efficacy as drug targets for Parkinson’s disease. We use expression and protein quantitative trait loci to mimic exposure to medications, and we examine the causal effect on Parkinson’s disease risk (in two large cohorts), age at onset and progression. We propose 23 drug-targeting mechanisms for Parkinson’s disease, including four possible drug repurposing opportunities and two drugs which may increase Parkinson’s disease risk. Of these, we put forward six drug targets with the strongest Mendelian randomization evidence. There is remarkably little overlap between our drug targets to reduce Parkinson’s disease risk versus progression, suggesting different molecular mechanisms. Drugs with genetic support are considerably more likely to succeed in clinical trials, and we provide compelling genetic evidence and an analysis pipeline to prioritise Parkinson’s disease drug development., There is currently no disease-modifying treatment for Parkinson’s disease, a common neurodegenerative disorder. Here, the authors use genetic variation associated with gene and protein expression to find putative drug targets for Parkinson’s disease using Mendelian randomization of the druggable genome.
- Published
- 2021
5. Human-lineage-specific genomic elements are associated with neurodegenerative disease and APOE transcript usage
- Author
-
Chen, Z., Zhang, D., Reynolds, R.H., Gustavsson, E.K., García-Ruiz, S., D'Sa, K., Fairbrother-Browne, A., Vandrovcova, J., Noyce, A.J., Kaiyrzhanov, R., Middlehurst, B., Kia, D.A., Tan, M., Morris, H.R., Plun-Favreau, H., Holmans, P., Trabzuni, D., Bras, J., Quinn, J., Mok, K.Y., Kinghorn, K.J., Billingsley, K., Wood, N.W., Lewis, P., Schreglmann, S., Guerreiro, Rita, Lovering, R., R'Bibo, L., Manzoni, C., Rizig, M., Guelfi, S., Escott-Price, V., Chelban, V., Foltynie, T., Williams, N., Brice, A., Danjou, F., Lesage, S., Corvol, Jean-Christophe, Martinez, M., Schulte, C., Brockmann, K., Simón-Sánchez, J., Heutink, P., Rizzu, P., Sharma, M., Gasser, T., Nicolas, A., Cookson, M. R, Bandres-Ciga, S., Blauwendraat, Cornelis, Craig, David W, Faghri, F., Gibbs, J.R., Hernandez, D.G., Van Keuren-Jensen, K., Shulman, J.M., Leonard, H.L., Nalls, M.A., Robak, L., Lubbe, S., Finkbeiner, S., Mencacci, N.E., Lungu, C., Singleton, A. B., Scholz, S.W., Reed, X., Alcalay, Roy N, Gan-Or, Z., Rouleau, G.A., Krohn, L., van Hilten, J.J., Marinus, J., Adarmes-Gómez, A.D, Aguilar Barberà, Miquel, Alvarez, Ignacio, Alvarez, V., Barrero, F. J, Yarza, J.A.B., Bernal-Bernal, I., Blazquez, M., Bonilla-Toribio, Marta, Botía, J., Boungiorno, M.T., Buiza-Rueda, Dolores, Cámara, Ana, Carrillo, F., Carrión-Claro, M., Cerdan, D., Clarimón, Jordi, Compta, Yaroslau, Diez-Fairen, M., Dols Icardo, Oriol, Duarte, J., Duran, Raquel, Escamilla-Sevilla, F., Ezquerra, M., Feliz, C., Fernández, M., Fernández-Santiago, R., Garcia, C., García-Ruiz, P., Gómez-Garre, P., Heredia, M.J.G., Gonzalez-Aramburu, I., Pagola, A.G., Hoenicka, J., Infante, J., Jesús, S., Jimenez-Escrig, A., Kulisevsky, Jaime, Labrador-Espinosa, Miguel A, Lopez-Sendon, J.L., de Munain Arregui, A.L., Macias, D., Torres, I.M., Marín, J., Marti, M.J., Martínez-Castrillo, J.C., Méndez-del-Barrio, C., González, M.M., Mata, M., Mínguez, A., Mir, P., Rezola, E.M., Muñoz, E., Pagonabarraga Mora, Javier, Pastor, P., Errazquin, F.P., Periñán-Tocino, T., Ruiz-Martínez, J., Ruz, C., Rodriguez, A.S., Sierra, M., Suarez-Sanmartin, E., Tabernero, C., Tartari, J. P., Tejera-Parrado, C., Tolosa, E., Valldeoriola, F., Vargas-González, L., Vela, L., Vives, F., Zimprich, Alexander, Pihlstrom, L., Toft, M., Koks, S., Taba, P., Hassin-Baer, S., Hardy, J., Houlden, Henry, Gagliano Taliun, S. A., Ryten, M., Universitat Autònoma de Barcelona, Universidad de Cantabria, Lord Leonard and Lady Estelle Wolfson Foundation, Medical Research Council (UK), Dementia Research Institute (UK), Alzheimer Society, Alzheimer's Research UK, Wellcome Trust, Dolby Family Fund, National Institute for Health Research (UK), NIHR Biomedical Research Centre (UK), Agencia Estatal de Investigación (España), Fundación Séneca, and Gobierno de la Región de Murcia
- Subjects
0301 basic medicine ,Apolipoprotein E ,Aging ,Messenger ,General Physics and Astronomy ,Neurodegenerative ,Alzheimer's Disease ,Genome ,Linkage Disequilibrium ,Negative selection ,0302 clinical medicine ,2.1 Biological and endogenous factors ,Aetiology ,health care economics and organizations ,Conserved Sequence ,Phylogeny ,Multidisciplinary ,Brain ,Neurodegenerative Diseases ,Single Nucleotide ,Alzheimer's disease ,Phenotype ,International Parkinson’s Disease Genomics Consortium ,Neurological ,Regression Analysis ,Long Noncoding ,DNA, Intergenic ,RNA, Long Noncoding ,Human ,Biotechnology ,Lineage (genetic) ,Science ,1.1 Normal biological development and functioning ,Computational biology ,Biology ,Polymorphism, Single Nucleotide ,Article ,General Biochemistry, Genetics and Molecular Biology ,Chromosomes ,03 medical and health sciences ,Apolipoproteins E ,Underpinning research ,Alzheimer Disease ,Genetic variation ,Genetics ,Acquired Cognitive Impairment ,Humans ,RNA, Messenger ,Polymorphism ,Gene ,Whole genome sequencing ,Intergenic ,Pair 19 ,Genome, Human ,Human Genome ,Neurosciences ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Molecular Sequence Annotation ,General Chemistry ,DNA ,Introns ,Brain Disorders ,030104 developmental biology ,Gene Ontology ,RNA ,Dementia ,Chromosomes, Human, Pair 19 ,030217 neurology & neurosurgery - Abstract
Knowledge of genomic features specific to the human lineage may provide insights into brain-related diseases. We leverage high-depth whole genome sequencing data to generate a combined annotation identifying regions simultaneously depleted for genetic variation (constrained regions) and poorly conserved across primates. We propose that these constrained, non-conserved regions (CNCRs) have been subject to human-specific purifying selection and are enriched for brain-specific elements. We find that CNCRs are depleted from protein-coding genes but enriched within lncRNAs. We demonstrate that per-SNP heritability of a range of brain-relevant phenotypes are enriched within CNCRs. We find that genes implicated in neurological diseases have high CNCR density, including APOE, highlighting an unannotated intron-3 retention event. Using human brain RNA-sequencing data, we show the intron-3-retaining transcript to be more abundant in Alzheimer’s disease with more severe tau and amyloid pathological burden. Thus, we demonstrate potential association of human-lineage-specific sequences in brain development and neurological disease., Knowledge of genomic features specific to humans may be important for understanding disease. Here the authors demonstrate a potential role for these human-lineage-specific sequences in brain development and neurological disease.
- Published
- 2021
6. Investigation of Autosomal Genetic Sex Differences in Parkinson's Disease
- Author
-
Leonard H, Lake J, Kim JJ, Gibbs JR, Ruskey JA, Pihlstrøm L, Eerola-Rautio J, Tienari PJ, Grosset DG, Wood N, Noyce AJ, Middlehurst B, Kia DA, Tan M, Houlden H, Storm CS, Morris HR, Plun-Favreau H, Holmans P, Hardy J, Trabzuni D, Quinn J, Bubb V, Mok KY, Kinghorn KJ, Wood NW, Lewis P, Schreglmann SR, Lovering R, R'Bibo L, Manzoni C, Rizig M, Ryten M, Guelfi S, Escott-Price V, Chelban V, Foltynie T, Williams N, Morrison KE, Clarke C, Harvey K, Jacobs BM, Brice A, Danjou F, Lesage S, Corvol JC, Martinez M, Schulte C, Brockmann K, Simón-Sánchez J, Heutink P, Rizzu P, Sharma M, Gasser T, Schneider SA, Cookson MR, Bandres-Ciga S, Blauwendraat C, Craig DW, Billingsley K, Makarious MB, Narendra DP, Faghri F, Hernandez DG, Van Keuren-Jensen K, Shulman JM, Iwaki H, Leonard HL, Nalls MA, Robak L, Bras J, Guerreiro R, Lubbe S, Troycoco T, Finkbeiner S, Mencacci NE, Lungu C, Singleton AB, Scholz SW, Reed X, Uitti RJ, Ross OA, Grenn FP, Moore A, Alcalay RN, Wszolek ZK, Gan-Or Z, Rouleau GA, Krohn L, Mufti K, van Hilten JJ, Marinus J, Adarmes-Gómez AD, Aguilar M, Alvarez I, Alvarez V, Barrero FJ, Yarza JAB, Bernal-Bernal I, Blazquez M, Bonilla-Toribio M, Botía JA, Boungiorno MT, Buiza-Rueda D, Cámara A, Carrillo F, Carrión-Claro M, Cerdan D, Clarimón J, Compta Y, Diez-Fairen M, Dols-Icardo O, Duarte J, Duran R, Escamilla-Sevilla F, Ezquerra M, Feliz C, Fernández M, Fernández-Santiago R, Garcia C, García-Ruiz P, Gómez-Garre P, Heredia MJG, Gonzalez-Aramburu I, Pagola AG, Hoenicka J, Infante J, Jesús S, Jimenez-Escrig A, Kulisevsky J, Labrador-Espinosa MA, Lopez-Sendon JL, de Munain Arregui AL, Macias D, Torres IM, Marín J, Marti MJ, Martínez-Castrillo JC, Méndez-Del-Barrio C, González MM, Mata M, Mínguez A, Mir P, Rezola EM, Muñoz E, Pagonabarraga J, Pastor P, Errazquin FP, Periñán-Tocino T, Ruiz-Martínez J, Ruz C, Rodriguez AS, Sierra M, Suarez-Sanmartin E, Tabernero C, Tartari JP, Tejera-Parrado C, Tolosa E, Valldeoriola F, Vargas-González L, Vela L, Vives F, Zimprich A, Pihlstrom L, Toft M, Taba P, Koks S, Hassin-Baer S, Majamaa K, Siitonen A, Tienari P, Okubadejo NU, Ojo OO, Kaiyrzhanov R, Shashkin C, Zharkinbekova N, Akhmetzhanov V, Kaishybayeva G, Karimova A, Khaibullin T, Lynch TL, and International Parkinson's Disease Genomics Consortium (IPDGC)
- Abstract
OBJECTIVE: Parkinson's disease (PD) is a complex neurodegenerative disorder. Men are on average ~ 1.5 times more likely to develop PD compared to women with European ancestry. Over the years, genomewide association studies (GWAS) have identified numerous genetic risk factors for PD, however, it is unclear whether genetics contribute to disease etiology in a sex-specific manner. METHODS: In an effort to study sex-specific genetic factors associated with PD, we explored 2 large genetic datasets from the International Parkinson's Disease Genomics Consortium and the UK Biobank consisting of 13,020 male PD cases, 7,936 paternal proxy cases, 89,660 male controls, 7,947 female PD cases, 5,473 maternal proxy cases, and 90,662 female controls. We performed GWAS meta-analyses to identify distinct patterns of genetic risk contributing to disease in male versus female PD cases. RESULTS: In total, 19 genomewide significant regions were identified and no sex-specific effects were observed. A high genetic correlation between the male and female PD GWAS were identified (rg = 0.877) and heritability estimates were identical between male and female PD cases (~ 20%). INTERPRETATION: We did not detect any significant genetic differences between male or female PD cases. Our study does not support the notion that common genetic variation on the autosomes could explain the difference in prevalence of PD between males and females cases at least when considering the current sample size under study. Further studies are warranted to investigate the genetic architecture of PD explained by X and Y chromosomes and further evaluate environmental effects that could potentially contribute to PD etiology in male versus female patients. ANN NEUROL 2021;90:41-48.
- Published
- 2021
7. Regulatory sites for splicing in human basal ganglia are enriched for disease-relevant information
- Author
-
Guelfi S., D’Sa K., Botía J.A., Vandrovcova J., Reynolds R.H., Zhang D., Trabzuni D., Collado-Torres L., Thomason A., Quijada Leyton P., Gagliano Taliun S.A., Nalls M.A., Noyce A.J., Nicolas A., Cookson M.R., Bandres-Ciga S., Gibbs J.R., Hernandez D.G., Singleton A.B., Reed X., Leonard H., Blauwendraat C., Faghri F., Bras J., Guerreiro R., Tucci A., Kia D.A., Houlden H., Plun-Favreau H., Mok K.Y., Wood N.W., Lovering R., R’Bibo L., Rizig M., Chelban V., Tan M., Morris H.R., Middlehurst B., Quinn J., Billingsley K., Holmans P., Kinghorn K.J., Lewis P., Escott-Price V., Williams N., Foltynie T., Brice A., Danjou F., Lesage S., Corvol J.-C., Martinez M., Giri A., Schulte C., Brockmann K., Simón-Sánchez J., Heutink P., Gasser T., Rizzu P., Sharma M., Shulman J.M., Robak L., Lubbe S., Mencacci N.E., Finkbeiner S., Lungu C., Scholz S.W., Gan-Or Z., Rouleau G.A., Krohan L., van Hilten J.J., Marinus J., Adarmes-Gómez A.D., Bernal-Bernal I., Bonilla-Toribio M., Buiza-Rueda D., Carrillo F., Carrión-Claro M., Mir P., Gómez-Garre P., Jesús S., Labrador-Espinosa M.A., Macias D., Vargas-González L., Méndez-del-Barrio C., Periñán-Tocino T., Tejera-Parrado C., Diez-Fairen M., Aguilar M., Alvarez I., Boungiorno M.T., Carcel M., Pastor P., Tartari J.P., Alvarez V., González M.M., Blazquez M., Garcia C., Suarez-Sanmartin E., Barrero F.J., Rezola E.M., Yarza J.A.B., Pagola A.G., Arregui A.L.M., Ruiz-Martínez J., Cerdan D., Duarte J., Clarimón J., Dols-Icardo O., Infante J., Marín J., Kulisevsky J., Pagonabarraga J., Gonzalez-Aramburu I., Rodriguez A.S., Sierra M., Duran R., Ruz C., Vives F., Escamilla-Sevilla F., Mínguez A., Cámara A., Compta Y., Ezquerra M., Marti M.J., Fernández M., Muñoz E., Fernández-Santiago R., Tolosa E., Valldeoriola F., García-Ruiz P., Heredia M.J.G., Errazquin F.P., Hoenicka J., Jimenez-Escrig A., Martínez-Castrillo J.C., Lopez-Sendon J.L., Torres I.M., Tabernero C., Vela L., Zimprich A., Pihlstrom L., Koks S., Taba P., Majamaa K., Siitonen A., Okubadejo N.U., Ojo O.O., Forabosco P., Walker R., Small K.S., Smith C., Ramasamy A., Hardy J., Weale M.E., and Ryten M.
- Subjects
medicine ,RNA splicing ,phenotype ,brain ,genotype ,Quantitative Trait Loci ,genetic analysis ,Polymorphism, Single Nucleotide ,Article ,genetic regulation ,mental disease ,transcriptomics ,quantitative trait locus ,expression quantitative trait locus ,single nucleotide polymorphism ,Humans ,genetics ,human ,reproducibility ,Alleles ,Neurons ,genome-wide association study ,human cell ,allele ,Putamen ,Reproducibility of Results ,RNA sequencing ,Parkinson Disease ,gene expression regulation ,cell ,cohort analysis ,neurologic disease ,human tissue ,schizophrenia ,Substantia Nigra ,disease incidence ,physiology ,gene expression ,RNA ,physiological response ,Nervous System Diseases ,nerve cell ,Transcriptome ,nervous system disorder ,basal ganglion - Abstract
Genome-wide association studies have generated an increasing number of common genetic variants associated with neurological and psychiatric disease risk. An improved understanding of the genetic control of gene expression in human brain is vital considering this is the likely modus operandum for many causal variants. However, human brain sampling complexities limit the explanatory power of brain-related expression quantitative trait loci (eQTL) and allele-specific expression (ASE) signals. We address this, using paired genomic and transcriptomic data from putamen and substantia nigra from 117 human brains, interrogating regulation at different RNA processing stages and uncovering novel transcripts. We identify disease-relevant regulatory loci, find that splicing eQTLs are enriched for regulatory information of neuron-specific genes, that ASEs provide cell-specific regulatory information with evidence for cellular specificity, and that incomplete annotation of the brain transcriptome limits interpretation of risk loci for neuropsychiatric disease. This resource of regulatory data is accessible through our web server, http://braineacv2.inf.um.es/. © 2020, The Author(s).
- Published
- 2020
8. Polymorphic reference SVAs are associated with Parkinson's Disease progression markers and differential gene expression in the PPMI cohort
- Author
-
Pfaff, A., primary, Bubb, V., additional, Quinn, J., additional, and Koks, S., additional
- Published
- 2020
- Full Text
- View/download PDF
9. Sex differences in the development of diabetes in mice with deleted Wolframin (Wfs1) gene - an animal model for Wolfram syndrome: O/5/FRI/03
- Author
-
Noormets, K., Koks, S., Muldmaa, M., Mauring, L., Vasar, E., and Tillmann, V.
- Published
- 2010
10. Moving beyond neurons: the role of cell type-specific gene regulation in Parkinson's disease heritability
- Author
-
Reynolds, R.H., Botia, J., Nalls, M.A., Hardy, J., Taliun, S.A.G., Ryten, M., Noyce, A.J., Nicolas, A., Cookson, M.R., Bandres-Ciga, S., Gibbs, J.R., Hernandez, D.G., Singleton, A.B., Reed, X., Leonard, H., Blauwendraat, C., Faghri, F., Bras, J., Guerreiro, R., Tucci, A., Kia, D.A., Houlden, H., Plun-Favreau, H., Mok, K.Y., Wood, N.W., Lovering, R., R'Bibo, L., Rizig, M., Chelban, V., Trabzuni, D., Tan, M., Morris, H.R., Middlehurst, B., Quinn, J., Billingsley, K., Holmans, P., Kinghorn, K.J., Lewis, P., Escott-Price, V., Williams, N., Foltynie, T., Brice, A., Danjou, F., Lesage, S., Corvol, J.C., Martinez, M., Giri, A., Schulte, C., Brockmann, K., Simon-Sanchez, J., Heutink, P., Gasser, T., Rizzu, P., Sharma, M., Shulman, J.M., Robak, L., Lubbe, S., Mencacci, N.E., Finkbeiner, S., Lungu, C., Scholz, S.W., Gan-Or, Z., Rouleau, G.A., Krohan, L., Hilten, J.J. van, Marinus, J., Adarmes-Gomez, A.D., Bernal-Bernal, I., Bonilla-Toribio, M., Buiza-Rueda, D., Carrillo, F., Carrion-Claro, M., Mir, P., Gomez-Garre, P., Jesus, S., Labrador-Espinosa, M.A., Macias, D., Vargas-Gonzalez, L., Mendez-del-Barrio, C., Perinan-Tocino, T., Tejera-Parrado, C., Diez-Fairen, M., Aguilar, M., Alvarez, I., Boungiorno, M.T., Carcel, M., Pastor, P., Tartari, J.P., Alvarez, V., Gonzalez, M.M., Blazquez, M., Garcia, C., Suarez-Sanmartin, E., Barrero, F.J., Rezola, E.M., Yarza, J.A.B., Pagola, A.G., Arregui, A.L.D., Ruiz-Martinez, J., Cerdan, D., Duarte, J., Clarimon, J., Dols-Icardo, O., Infante, J., Marin, J., Kulisevsky, J., Pagonabarraga, J., Gonzalez-Aramburu, I., Rodriguez, A.S., Sierra, M., Duran, R., Ruz, C., Vives, F., Escamilla-Sevilla, F., Minguez, A., Camara, A., Compta, Y., Ezquerra, M., Marti, M.J., Fernandez, M., Munoz, E., Fernandez-Santiago, R., Tolosa, E., Valldeoriola, F., Garcia-Ruiz, P., Heredia, M.J.G., Errazquin, F.P., Hoenicka, J., Jimenez-Escrig, A., Martinez-Castrillo, J.C., Lopez-Sendon, J.L., Torres, I.M., Tabernero, C., Vela, L., Zimprich, A., Pihlstrom, L., Koks, S., Taba, P., Majamaa, K., Siitonen, A., Okubadejo, N.U., Ojo, O.O., Pitcher, T., Anderson, T., Bentley, S., Fowdar, J., Mellick, G., Dalrymple-Alford, J., Henders, A.K., Kassam, I., Montgomery, G., Sidorenko, J., Zhang, F.T., Xue, A.L., Vallerga, C.L., Wallace, L., Wray, N.R., Yang, J., Visscher, P.M., Gratten, J., Silburn, P.A., Halliday, G., Hickie, I., Kwok, J., Lewis, S., Kennedy, M., Pearson, J., Int Parkinsons Dis Genomics, and Syst Genomics Parkinsons Dis
- Published
- 2019
11. SNCA and mTOR Pathway Single Nucleotide Polymorphisms Interact to Modulate the Age at Onset of Parkinson's Disease
- Author
-
Fernandez-Santiago, R., Martin-Flores, N., Antonelli, F., Cerquera, C., Moreno, V., Bandres-Ciga, S., Manduchi, E., Tolosa, E., Singleton, A.B., Moore, J.H., Noyce, A.J., Kaiyrzhanov, R., Middlehurst, B., Kia, D.A., Tan, M., Houlden, H., Morris, H.R., Plun-Favreau, H., Holmans, P., Hardy, J., Trabzuni, D., Bras, J., Quinn, J., Mok, K.Y., Kinghorn, K.J., Billingsley, K., Wood, N.W., Lewis, P., Schreglmann, S., Guerreiro, R., Lovering, R., R'Bibo, L., Manzoni, C., Rizig, M., Ryten, M., Guelfi, S., Escott-Price, V., Chelban, V., Foltynie, T., Williams, N., Morrison, K.E., Clarke, C., Brice, A., Danjou, F., Lesage, S., Corvol, J.C., Martinez, M., Schulte, C., Brockmann, K., Simoon-Saanchez, J., Heutink, P., Rizzu, P., Sharma, M., Gasser, T., Nicolas, A., Cookson, M.R., Blauwendraat, C., Craig, D.W., Faghri, F., Gibbs, J.R., Hernandez, D.G., Keuren-Jensen, K. van, Shulman, J.M., Iwaki, H., Leonard, H.L., Nalls, M.A., Robak, L., Lubbe, S., Finkbeiner, S., Mencacci, N.E., Lungu, C., Scholz, S.W., Reed, X., Alcalay, R.N., Gan-Or, Z., Rouleau, G.A., Krohn, L., Hilten, J.J. van, Marinus, J., Adarmes-Goomez, A.D., Aguilar, I., Alvarez, I., Alvarez, V., Barrero, F.J., Yarza, J.A.B., Bernal-Bernal, I., Blazquez, M., Bonilla-Toribio, M., Botia, J.A., Boungiorno, M.T., Buiza-Rueda, D., Camara, A., Carrillo, F., Carrion-Claro, M., Cerdan, D., Clarimon, J., Compta, Y., Casa, B. de la, Diez-Fairen, M., Dols-Icardo, O., Duarte, J., Duran, R., Escamilla-Sevilla, F., Ezquerra, M., Feliz, C., Fernandez, M., Garcia, C., Garcia-Ruiz, P., Gomez-Garre, P., Heredia, M.J.G., Gonzalez-Aramburu, I., Pagola, A.G., Hoenicka, J., Infante, J., Jesus, S., Jimenez-Escrig, A., Kulisevsky, J., Labrador-Espinosa, M.A., Lopez-Sendon, J.L., Arregui, A.L.D., Macias, D., Torres, I.M., Marin, J., Marti, M.J., Martinez-Castrillo, C., Mendez-del-Barrio, C., Gonzalez, M.M., Mata, M., Minguez, A., Mir, P., Rezola, E.M., Munoz, E., Pagonabarraga, J., Pascual-Sedano, B., Pastor, P., Errazquin, F.P., Perinan-Tocino, T., Ruiz-Martinez, J., Ruz, C., Rodriguez, A.S., Sierra, M., Suarez-Sanmartin, E., Tabernero, C., Tartari, J.P., Tejera-Parrado, C., Valldeoriola, F., Vargas-Gonzalez, L., Vela, L., Vives, F., Zimprich, A., Pihlstrom, L., Toft, M., Koks, S., Taba, P., Hassin-Baer, S., Malagelada, C., Int Parkinson's Dis Genomics Conso, Fundació La Marató de TV3, Michael J. Fox Foundation for Parkinson's Research, National Institutes of Health (US), Ministerio de Economía y Competitividad (España), Agencia Estatal de Investigación (España), and Ministerio de Ciencia, Innovación y Universidades (España)
- Subjects
0301 basic medicine ,epistasis ,Male ,Parkinson's disease ,very elderly ,alpha-synuclein ,Alpha‐synuclein ,regulatory associated protein of mTOR ,Cohort Studies ,0302 clinical medicine ,single nucleotide polymorphism ,genetics ,Age of Onset ,Genetics ,Aged, 80 and over ,Polymorphism, Single Nucleoti ,biology ,TOR Serine-Threonine Kinases ,target of rapamycin kinase ,fchsd1 gene ,Age at onset ,Chromosome Mapping ,glycogen synthase kinase 3beta ,Parkinson Disease ,Middle Aged ,cohort analysis ,LRRK2 ,priority journal ,Neurology ,chromosomal mapping ,neuromodulation ,mTOR ,alpha-Synuclein ,Female ,age at onset ,Signal Transduction ,onset age ,Adult ,MTOR protein, human ,protein kinase LKB1 ,gene locus ,Genotype ,multifactor dimensionality reduction ,SNP ,Single-nucleotide polymorphism ,rps6ka2 gene ,Polymorphism, Single Nucleotide ,Risk Assessment ,Article ,brain function ,03 medical and health sciences ,alpha synuclein ,medicine ,Humans ,controlled study ,Genetic Predisposition to Disease ,human ,ddc:610 ,SNCA protein, human ,gene ,Mechanistic target of rapamycin ,PI3K/AKT/mTOR pathway ,mammalian target of rapamycin ,Aged ,RPTOR ,Epistasis, Genetic ,Odds ratio ,medicine.disease ,major clinical study ,nervous system diseases ,030104 developmental biology ,mTOR signaling ,biology.protein ,Epistasis ,pathology ,Neurology (clinical) ,genetic predisposition ,030217 neurology & neurosurgery - Abstract
Special Issue: Focused Ultrasound in Parkinson's Disease., [Background] Single nucleotide polymorphisms (SNPs) in the α‐synuclein (SNCA ) gene are associated with differential risk and age at onset (AAO) of both idiopathic and Leucine‐rich repeat kinase 2 (LRRK2)‐associated Parkinson's disease (PD). Yet potential combinatory or synergistic effects among several modulatory SNPs for PD risk or AAO remain largely underexplored., [Objectives] The mechanistic target of rapamycin (mTOR ) signaling pathway is functionally impaired in PD. Here we explored whether SNPs in the mTOR pathway, alone or by epistatic interaction with known susceptibility factors, can modulate PD risk and AAO., [Methods] Based on functional relevance, we selected a total of 64 SNPs mapping to a total of 57 genes from the mTOR pathway and genotyped a discovery series cohort encompassing 898 PD patients and 921 controls. As a replication series, we screened 4170 PD and 3014 controls available from the International Parkinson's Disease Genomics Consortium., [Results] In the discovery series cohort, we found a 4‐loci interaction involving STK11 rs8111699, FCHSD1 rs456998, GSK3B rs1732170, and SNCA rs356219, which was associated with an increased risk of PD (odds ratio = 2.59, P, [Conclusions] These findings indicate that genetic variability in the mTOR pathway contributes to SNCA effects in a nonlinear epistatic manner to modulate differential AAO in PD, unraveling the contribution of this cascade in the pathogenesis of the disease. © 2019 International Parkinson and Movement Disorder Society, Funding Information; Fundació la Marató de TV3. Grant Number: 60510; Michael J. Fox Foundation for Parkinson's Research. Grant Numbers: Dyskinesia Challenge 2014, MJF_PPMI_10_001, PI044024; National Institutes of Health. Grant Number: LM010098; Secretaría de Estado de Investigación, Desarrollo e Innovación. Grant Number: SAF2014‐57160R and SAF2017‐88812R.
- Published
- 2019
12. Mitochondria function associated genes contribute to Parkinson’s Disease risk and later age at onset
- Author
-
Billingsley K.J., Barbosa I.A., Bandrés-Ciga S., Quinn J.P., Bubb V.J., Deshpande C., Botia J.A., Reynolds R.H., Zhang D., Simpson M.A., Blauwendraat C., Gan-Or Z., Gibbs J.R., Nalls M.A., Singleton A., Noyce A., Tucci A., Middlehurst B., Kia D., Tan M., Houlden H., Morris H.R., Plun-Favreau H., Holmans P., Hardy J., Trabzuni D., Bras J., Mok K., Kinghorn K., Wood N., Lewis P., Guerreiro R., Lovering R., R’Bibo L., Rizig M., Escott-Price V., Chelban V., Foltynie T., Williams N., Brice A., Danjou F., Lesage S., Martinez M., Giri A., Schulte C., Brockmann K., Simón-Sánchez J., Heutink P., Rizzu P., Sharma M., Gasser T., Nicolas A., Cookson M., Faghri F., Hernandez D., Shulman J., Robak L., Lubbe S., Finkbeiner S., Mencacci N., Lungu C., Scholz S., Reed X., Leonard H., Rouleau G., Krohan L., van Hilten J., Marinus J., Adarmes-Gómez A., Aguilar M., Alvarez I., Alvarez V., Javier Barrero F., Bergareche Yarza J., Bernal-Bernal I., Blazquez M., Bernal M.B.-T., Boungiorno M., Buiza-Rueda D., Cámara A., Carcel M., Carrillo F., Carrión-Claro M., Cerdan D., Clarimón J., Compta Y., Diez-Fairen M., Dols-Icardo O., Duarte J., Duran R., Escamilla-Sevilla F., Ezquerra M., Fernández M., Fernández-Santiago R., Garcia C., García-Ruiz P., Gómez-Garre P., Heredia M.G., Gonzalez-Aramburu I., Pagola A.G., Hoenicka J., Infante J., Jesús S., Jimenez-Escrig A., Kulisevsky J., Labrador-Espinosa M., Lopez-Sendon J., de Munain Arregui A.L., Macias D., Torres I.M., Marín J., Marti M.J., Martínez-Castrillo J., Méndez-del-Barrio C., Menéndez González M., Mínguez A., Mir P., Rezola E.M., Muñoz E., Pagonabarraga J., Pastor P., Errazquin F.P., Periñán-Tocino T., Ruiz-Martínez J., Ruz C., Rodriguez A.S., Sierra M., Suarez-Sanmartin E., Tabernero C., Tartari J.P., Tejera-Parrado C., Tolosa E., Valldeoriola F., Vargas-González L., Vela L., Vives F., Zimprich A., Pihlstrom L., Taba P., Majamaa K., Siitonen A., Okubadejo N., Ojo O., Ryten M., and Koks S.
- Subjects
genotype ,Mendelian randomization analysis ,CLN8 gene ,MUC1 gene ,genetic analysis ,bioenergy ,genetic risk ,genetic risk score ,Article ,ATG14 gene ,disorders of mitochondrial functions ,MRPS34 gene ,degenerative disease ,mitochondrial gene ,EP300 gene ,gene mutation ,human ,MPI gene ,gene ,molecular phylogeny ,LMBRD1 gene ,genome-wide association study ,monogenic disorder ,mitochondrial dynamics ,Parkinson disease ,E2F1 gene ,mitophagy ,CAPRIN2 gene ,priority journal ,risk factor ,LGALS3 gene ,disease exacerbation ,gene expression ,gene ontology ,meta analysis - Abstract
Mitochondrial dysfunction has been implicated in the etiology of monogenic Parkinson’s disease (PD). Yet the role that mitochondrial processes play in the most common form of the disease; sporadic PD, is yet to be fully established. Here, we comprehensively assessed the role of mitochondrial function-associated genes in sporadic PD by leveraging improvements in the scale and analysis of PD GWAS data with recent advances in our understanding of the genetics of mitochondrial disease. We calculated a mitochondrial-specific polygenic risk score (PRS) and showed that cumulative small effect variants within both our primary and secondary gene lists are significantly associated with increased PD risk. We further reported that the PRS of the secondary mitochondrial gene list was significantly associated with later age at onset. Finally, to identify possible functional genomic associations we implemented Mendelian randomization, which showed that 14 of these mitochondrial function-associated genes showed functional consequence associated with PD risk. Further analysis suggested that the 14 identified genes are not only involved in mitophagy, but implicate new mitochondrial processes. Our data suggests that therapeutics targeting mitochondrial bioenergetics and proteostasis pathways distinct from mitophagy could be beneficial to treating the early stage of PD. © 2019, The Author(s).
- Published
- 2019
13. Mitochondria function associated genes contribute to Parkinson’s disease risk and later age at onset
- Author
-
Billingsley, K. J. (Kimberley J.), Barbosa, I. A. (Ines A.), Bandrés-Ciga, S. (Sara), Quinn, J. P. (John P.), Bubb, V. J. (Vivien J.), Deshpande, C. (Charu), Botia, J. A. (Juan A.), Reynolds, R. H. (Regina H.), Zhang, D. (David), Simpson, M. A. (Michael A.), Blauwendraat, C. (Cornelis), Gan-Or, Z. (Ziv), Raphael Gibbs, J. (J.), Nalls, M. A. (Mike A.), Singleton, A. (Andrew), Ryten, M. (Mina), and Koks, S. (Sulev)
- Abstract
Mitochondrial dysfunction has been implicated in the etiology of monogenic Parkinson’s disease (PD). Yet the role that mitochondrial processes play in the most common form of the disease; sporadic PD, is yet to be fully established. Here, we comprehensively assessed the role of mitochondrial function-associated genes in sporadic PD by leveraging improvements in the scale and analysis of PD GWAS data with recent advances in our understanding of the genetics of mitochondrial disease. We calculated a mitochondrial-specific polygenic risk score (PRS) and showed that cumulative small effect variants within both our primary and secondary gene lists are significantly associated with increased PD risk. We further reported that the PRS of the secondary mitochondrial gene list was significantly associated with later age at onset. Finally, to identify possible functional genomic associations we implemented Mendelian randomization, which showed that 14 of these mitochondrial function-associated genes showed functional consequence associated with PD risk. Further analysis suggested that the 14 identified genes are not only involved in mitophagy, but implicate new mitochondrial processes. Our data suggests that therapeutics targeting mitochondrial bioenergetics and proteostasis pathways distinct from mitophagy could be beneficial to treating the early stage of PD. Additional information International Parkinson’s Disease Genomics Consortium (IPDGC) Members A. Noyce13, A. Tucci14, B. Middlehurst1, D. Kia15, M. Tan16, H. Houlden14, H. R. Morris16, H. Plun-Favreau14, P. Holmans17, J. Hardy14, D. Trabzuni14,18, J. Bras19, K. Mok14, K. Kinghorn20, N. Wood15, P. Lewis21, R. Guerreiro14,19, R. Lovering22, L. R’Bibo14, M. Rizig14, V. Escott-Price22,23, V. Chelban14, T. Foltynie6, N. Williams24, A. Brice25, F. Danjou25, S. Lesage25, M. Martinez26, A. Giri27,28, C. Schulte27,28, K. Brockmann27,28, J. Simón-Sánchez27,28, P. Heutink27,28, P. Rizzu28, M. Sharma29, T. Gasser27,28, A. Nicolas2, M. Cookson2, F. Faghri2,30, D. Hernandez2, J. Shulman31,32, L. Robak33, S. Lubbe34, S. Finkbeiner35,36,37, N. Mencacci38, C. Lungu39, S. Scholz40, X. Reed2, H. Leonard2, G. Rouleau7, L. Krohan41, J. van Hilten42, J. Marinus42, A. Adarmes-Gómez43, M. Aguilar44, I. Alvarez44, V. Alvarez45, F. Javier Barrero46, J. Bergareche Yarza47, I. Bernal-Bernal43, M. Blazquez45, M. Bonilla-Toribio Bernal43, M. Boungiorno44, Dolores Buiza-Rueda43, A. Cámara48, M. Carcel44, F. Carrillo43, M. Carrión-Claro43, D. Cerdan49, J. Clarimón50,51, Y. Compta48, M. Diez-Fairen44, O. Dols-Icardo50,51, J. Duarte49, R. l. Duran52, F. Escamilla-Sevilla53, M. Ezquerra48, M. Fernández48, R. Fernández-Santiago48, C. Garcia45, P. García-Ruiz54, P. Gómez-Garre43, M. Gomez Heredia55, I. Gonzalez-Aramburu56, A. Gorostidi Pagola57, J. Hoenicka58, J. Infante51,56, S. Jesús43, A. Jimenez-Escrig59, J. Kulisevsky51,60, M. Labrador-Espinosa43, J. Lopez-Sendon59, A. López de Munain Arregui59, D. Macias43, I. Martínez Torres61, J. Marín51,60, M. Jose Marti48, J. Martínez-Castrillo59, C. Méndez-del-Barrio43, M. Menéndez González43, A. Mínguez53, P. Mir43, E. Mondragon Rezola57, E. Muñoz48, J. Pagonabarraga51,60, P. Pastor44, F. Perez Errazquin55, T. Periñán-Tocino43, J. Ruiz-Martínez57, C. Ruz52, A. Sanchez Rodriguez56, M. Sierra56, E. Suarez-Sanmartin4, C. Tabernero59, J. Pablo Tartari44, C. Tejera-Parrado43, E. Tolosa48, F. Valldeoriola48, L. Vargas-González43, L. Vela62, F. Vives52, A. Zimprich63, L. Pihlstrom64, P. Taba65, K. Majamaa66,67, A. Siitonen66, N. Okubadejo68, O. Ojo68 1 Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Liverpool, UK 2Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, MD, 20892, USA 3Department of Medical and Molecular Genetics, King’s College London School of Basic and Medical Biosciences, London, SE1 9RT, UK 4Clinical Genetics Unit, Guys and St. Thomas’ NHS Foundation Trust, London, SE1 9RT, UK 5Departamento de Ingeniería de la Información y las Comunicaciones, Universidad de Murcia, 30100, Murcia, Spain 6Department of Neurodegenerative Disease, UCL Institute of Neurology, 10-12 Russell Square House, London, UK 7Montreal Neurological Institute, McGill University, Montréal, QC, Canada 8Department of Neurology and Neurosurgery, McGill University, Montréal, QC, Canada 9Department of Human Genetics, McGill University, Montréal, QC, Canada 10Data Tecnica International, Glen Echo, MD, 20812, USA 11The Perron Institute for Neurological and Translational Science, 8 Verdun Street, Nedlands, WA, 6009, Australia 12Centre for Comparative Genomics, Murdoch University, Murdoch, 6150, Australia 13Preventive Neurology Unit, Wolfson Institute of Preventive Medicine, QMUL, London, UK 14Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK 15UCL Genetics Institute; and Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK 16Department of Clinical Neuroscience, University College London, London, UK 17Biostatistics & Bioinformatics Unit, Institute of Psychological Medicine and Clinical Neuroscience, MRC Centre for Neuropsychiatric Genetics & Genomics, Cardiff, UK 18Department of Genetics, King Faisal Specialist Hospital and Research Centre, Riyadh 11211, Saudi Arabia 19UK Dementia Research Institute at UCL and Department of Molecular Neuroscience, UCL Institute of Neurology, London, UK 20Institute of Healthy Ageing, University College London, London, UK 21University of Reading, Reading, UK 22University College London, London, UK 23MRC Centre for Neuropsychiatric Genetics and Genomics, Cardiff, UK 24Cardiff University School of Medicine, Cardiff, UK 25Institut du Cerveau et de la Moelle épinière, ICM, Inserm U 1127, CNRS, UMR 7225, Sorbonne Universités, UPMC University Paris 06, UMR S 1127, AP-HP, Pitié-Salpêtrière Hospital, Paris, France 26INSERM UMR 1220; and Paul Sabatier University, Toulouse, France 27Department for Neurodegenerative Diseases, Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany 28DZNE, German Center for Neurodegenerative Diseases, Tübingen, Germany 29Centre for Genetic Epidemiology, Institute for Clinical Epidemiology and Applied Biometry, University of Tubingen, Tubingen, Germany 30Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, IL, USA 31Departments of Neurology, Neuroscience, and Molecular & Human Genetics, Baylor College of Medicine, Houston, TX, USA 32Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX, USA 33Baylor College of Medicine, Houston, TX, USA 34Ken and Ruth Davee Department of Neurology, Northwestern University Feinberg School of Medicine, Chicago, IL, USA 35Departments of Neurology and Physiology, University of California, San Francisco, CA, USA 36Gladstone Institute of Neurological Disease, San Francisco, CA, USA 37Taube/Koret Center for Neurodegenerative Disease Research, San Francisco, CA, USA) 38 (Northwestern University Feinberg School of Medicine, Chicago, IL, USA) 39 (National Institutes of Health Division of Clinical Research, NINDS, National Institutes of Health, Bethesda, MD, USA) 40Neurodegenerative Diseases Research Unit, National Institute of Neurological Disorders and Stroke, Bethesda, MD, USA 41Department of Human Genetics, McGill University, Montréal, QC H3A 0G4, Canada 42Department of Neurology, Leiden University Medical Center, Leiden, Netherlands 43Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/ Universidad de Sevilla, Seville, Spain 44Fundació Docència i Recerca Mútua de Terrassa and Movement Disorders Unit, Department of Neurology, University Hospital Mutua de Terrassa, Terrassa, Barcelona, Spain 45Hospital Universitario Central de Asturias, Oviedo, Spain 46Hospital Universitario Parque Tecnologico de la Salud, Granada, Spain 47Instituto de Investigación Sanitaria Biodonostia, San Sebastián, Spain 48Hospital Clinic de Barcelona, Barcelona, Spain 49Hospital General de Segovia, Segovia, Spain 50Memory Unit, Department of Neurology, IIB Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain 51Centro de Investigación Biomédica en Red en Enfermedades Neurodegenerativas (CIBERNED), Madrid, Spain 52Centro de Investigacion Biomedica, Universidad de Granada, Granada, Spain 53Hospital Universitario Virgen de las Nieves, Instituto de Investigación Biosanitaria de Granada, Granada, Spain 54Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Madrid, Spain 55Hospital Universitario Virgen de la Victoria, Malaga, Spain 56Hospital Universitario Marqués de Valdecilla-IDIVAL, Santander, Spain 57Instituto de Investigación Sanitaria Biodonostia, San Sebastián, Spain 58Institut de Recerca Sant Joan de Déu, Barcelona, Spain 59Hospital Universitario Ramón y Cajal Madrid, Madrid, Spain 60Movement Disorders Unit, Department of Neurology, IIB Sant Pau, Hospital de la Santa Creu i Sant Pau, Universitat Autònoma de Barcelona, Barcelona, Spain 61Department of Neurology, Instituto de Investigación Sanitaria La Fe, Hospital Universitario y Politécnico La Fe, Valencia, Spain 62Department of Neurology, Hospital Universitario Fundación Alcorcón, Madrid, Spain 63Department of Neurology, Medical University of Vienna, Vienna, Austria 64Department of Neurology, Oslo University Hospital, Oslo, Norway 65Department of Neurology and Neurosurgery, University of Tartu, Tartu, Estonia 66Institute of Clinical Medicine, Department of Neurology, University of Oulu, Oulu, Finland 67Department of Neurology and Medical Research Center, Oulu University Hospital, Oulu, Finland 68University of Lagos, Yaba, Lagos State, Nigeria
- Published
- 2019
14. SNCA and mTOR Pathway Single Nucleotide Polymorphisms Interact to Modulate the Age at Onset of Parkinson's Disease
- Author
-
Martin-Flores, N, Antonelli, F, Cerquera, C, Moreno, V, Manduchi, E, Moore, JH, Noyce, AJ, Kaiyrzhanov, R, Middlehurst, B, Kia, DA, Tan, M, Houlden, H, Morris, HR, Plun-Favreau, H, Holmans, P, Hardy, J, Trabzuni, D, Bras, J, Quinn, J, Mok, KY, Kinghorn, KJ, Billingsley, K, Wood, NW, Lewis, P, Schreglmann, S, Guerreiro, R, Lovering, R, R'Bibo, L, Manzoni, C, Rizig, M, Ryten, M, Guelfi, S, Escott-Price, V, Chelban, V, Foltynie, T, Williams, N, Morrison, KE, Clarke, C, Brice, A, Danjou, F, Lesage, S, Corvol, JC, Martinez, M, Schulte, C, Brockmann, K, Simoon-Saanchez, J, Heutink, P, Rizzu, P, Sharma, M, Gasser, T, Nicolas, A, Cookson, MR, Bandres-Ciga, S, Blauwendraat, C, Craig, DW, Faghri, F, Gibbs, JR, Hernandez, DG, Van Keuren-Jensen, K, Shulman, JM, Iwaki, H, Leonard, HL, Nalls, MA, Robak, L, Lubbe, S, Finkbeiner, S, Mencacci, NE, Lungu, C, Singleton, AB, Scholz, SW, Reed, X, Alcalay, RN, Gan-Or, Z, Rouleau, GA, Krohn, L, van Hilten, JJ, Marinus, J, Adarmes-Goomez, AD, Aguilar, I, Alvarez, I, Alvarez, V, Barrero, FJ, Yarza, JAB, Bernal-Bernal, I, Blazquez, M, Bonilla-Toribio, M, Botia, JA, Boungiorno, MT, Buiza-Rueda, D, Camara, A, Carrillo, F, Carrion-Claro, M, Cerdan, D, Clarimon, J, Compta, Y, de la Casa, B, Diez-Fairen, M, Dols-Icardo, O, Duarte, J, Duran, R, Escamilla-Sevilla, F, Feliz, C, Fernandez, M, Fernandez-Santiago, R, Garcia, C, Garcia-Ruiz, P, Gomez-Garre, P, Heredia, MJG, Gonzalez-Aramburu, I, Pagola, AG, Hoenicka, J, Infante, J, Jesus, S, Jimenez-Escrig, A, Kulisevsky, J, Labrador-Espinosa, MA, Lopez-Sendon, JL, Arregui, ALD, Macias, D, Torres, IM, Marin, J, Marti, MJ, Martinez-Castrillo, C, Mendez-del-Barrio, C, Gonzalez, MM, Mata, M, Minguez, A, Mir, P, Rezola, EM, Munoz, E, Pagonabarraga, J, Pascual-Sedano, B, Pastor, P, Errazquin, FP, Perinan-Tocino, T, Ruiz-Martinez, J, Ruz, C, Rodriguez, AS, Sierra, M, Suarez-Sanmartin, E, Tabernero, C, Tartari, JP, Tejera-Parrado, C, Tolosa, E, Valldeoriola, F, Vargas-Gonzalez, L, Vela, L, Vives, F, Zimprich, A, Pihlstrom, L, Toft, M, Koks, S, Taba, P, Hassin-Baer, S, Ezquerra, M, Malagelada, C, and Int Parkinson's Dis Genomics Conso
- Subjects
epistasis ,alpha-synuclein ,Parkinson's disease ,mTOR ,SNP ,age at onset - Abstract
Background Single nucleotide polymorphisms (SNPs) in the alpha-synuclein (SNCA) gene are associated with differential risk and age at onset (AAO) of both idiopathic and Leucine-rich repeat kinase 2 (LRRK2)-associated Parkinson's disease (PD). Yet potential combinatory or synergistic effects among several modulatory SNPs for PD risk or AAO remain largely underexplored. Objectives The mechanistic target of rapamycin (mTOR) signaling pathway is functionally impaired in PD. Here we explored whether SNPs in the mTOR pathway, alone or by epistatic interaction with known susceptibility factors, can modulate PD risk and AAO. Methods Based on functional relevance, we selected a total of 64 SNPs mapping to a total of 57 genes from the mTOR pathway and genotyped a discovery series cohort encompassing 898 PD patients and 921 controls. As a replication series, we screened 4170 PD and 3014 controls available from the International Parkinson's Disease Genomics Consortium. Results In the discovery series cohort, we found a 4-loci interaction involving STK11 rs8111699, FCHSD1 rs456998, GSK3B rs1732170, and SNCA rs356219, which was associated with an increased risk of PD (odds ratio = 2.59, P < .001). In addition, we also found a 3-loci epistatic combination of RPTOR rs11868112 and RPS6KA2 rs6456121 with SNCA rs356219, which was associated (odds ratio = 2.89; P < .0001) with differential AAO. The latter was further validated (odds ratio = 1.56; P = 0.046-0.047) in the International Parkinson's Disease Genomics Consortium cohort. Conclusions These findings indicate that genetic variability in the mTOR pathway contributes to SNCA effects in a nonlinear epistatic manner to modulate differential AAO in PD, unraveling the contribution of this cascade in the pathogenesis of the disease. (c) 2019 International Parkinson and Movement Disorder Society
- Published
- 2019
15. Moving beyond neurons : the role of cell type-specific gene regulation in Parkinson's disease heritability
- Author
-
Reynolds, R. H., Botía, J., Nalls, M. A., Noyce, A. J., Nicolas, A., Cookson, M. R., Bandres-Ciga, S., Gibbs, J. R., Hernandez, D. G., Singleton, A. B., Reed, X., Leonard, H., Blauwendraat, Cornelis, Faghri, F., Bras, J., Guerreiro, Rita, Tucci, A., Kia, Demis A, Houlden, Henry, Plun-Favreau, H., Mok, K. Y., Wood, N. W., Lovering, R., R'Bibo, L., Rizig, M., Chelban, Viorica, Trabzuni, D., Tan, M., Morris, H. R., Middlehurst, B., Quinn, J., Billingsley, K., Holmans, Peter, Kinghorn, K. J., Lewis, P., Escott-Price, Valentina, Williams, N., Foltynie, T., Brice, Alexis, Danjou, F., Lesage, S., Corvol, Jean-Christophe, Martinez, M., Giri, A., Schulte, C., Brockmann, K., Simón-Sánchez, J., Heutink, Peter, Gasser, Thomas, Rizzu, P., Sharma, M., Shulman, J. M., Robak, L., Lubbe, S., Mencacci, N. E., Finkbeiner, S., Lungu, C., Scholz, S. W., Gan-Or, Z., Rouleau, G. A., Krohan, L., van Hilten, J. J., Marinus, J., Adarmes-Gómez, A.D, Bernal-Bernal, I., Bonilla-Toribio, Marta, Buiza-Rueda, Dolores, Carrillo, F., Carrión-Claro, M., Mir, P., Gómez-Garre, P., Jesús, S., Labrador-Espinosa, Miguel A, Macías-García, Daniel, Vargas-González, L., Méndez-del-Barrio, C., Periñán-Tocino, T., Tejera-Parrado, C., Diez-Fairen, Monica., Aguilar Barberà, Miquel, Alvarez, Ignacio, Boungiorno, M. T., Carcel, M., Pastor, Pau, Tartari, J. P., Alvarez, V., González, M. M., Blázquez Estrada, Marta, Garcia, C.., Suarez-Sanmartin, E., Barrero, F. J., Rezola, E. M., Yarza, J. A. B., Pagola, A. G., de Munain Arregui, A. L., Ruiz-Martínez, J., Cerdan, Debora, Duarte, J., Clarimón, Jordi, Dols Icardo, Oriol, Infante, J., Marín, J., Kulisevsky, Jaime, Pagonabarraga Mora, Javier, Gonzalez-Aramburu, Isabel, Rodriguez, A. S., Sierra, M., Duran, Raquel, Ruz, C., Vives, F., Escamilla-Sevilla, F., Mínguez, A., Cámara, Ana, Compta, Yaroslau, Ezquerra, M., Marti, M. J., Fernández, M., Muñoz García, José Esteban, Fernández Santiago, Rubén, Tolosa, E., Valldeoriola, F., García-Ruiz, P., Heredia, M. J. G., Errazquin, F. P., Hoenicka, J., Jimenez-Escrig, A., Martínez-Castrillo, J. C., Lopez-Sendon, J. L., Torres, I. M., Tabernero, C., Vela, Lydia, Zimprich, Alexander, Pihlstrom, L., Koks, S., Taba, P., Majamaa, K., Siitonen, A., Okubadejo, N. U., Ojo, O. O., Pitcher, T., Anderson, T., Bentley, S., Fowdar, J., Mellick, G., Dalrymple-Alford, J., Henders, Anjali K, Kassam, I., Montgomery, G., Sidorenko, J., Zhang, F., Xue, A., Vallerga, C. L., Wallace, Leanne, Wray, N. R., Yang, J., Visscher, P. M., Gratten, J., Silburn, P. A., Halliday, G., Hickie, Ian B, Kwok, J., Lewis, S., Kennedy, M., Pearson, J., Hardy, J., Gagliano Taliun, S. A., Ryten, Mina, and Universitat Autònoma de Barcelona
- Abstract
Parkinson's disease (PD), with its characteristic loss of nigrostriatal dopaminergic neurons and deposition of α-synuclein in neurons, is often considered a neuronal disorder. However, in recent years substantial evidence has emerged to implicate glial cell types, such as astrocytes and microglia. In this study, we used stratified LD score regression and expression-weighted cell-type enrichment together with several brain-related and cell-type-specific genomic annotations to connect human genomic PD findings to specific brain cell types. We found that PD heritability attributable to common variation does not enrich in global and regional brain annotations or brain-related cell-type-specific annotations. Likewise, we found no enrichment of PD susceptibility genes in brain-related cell types. In contrast, we demonstrated a significant enrichment of PD heritability in a curated lysosomal gene set highly expressed in astrocytic, microglial, and oligodendrocyte subtypes, and in LoF-intolerant genes, which were found highly expressed in almost all tested cellular subtypes. Our results suggest that PD risk loci do not lie in specific cell types or individual brain regions, but rather in global cellular processes detectable across several cell types.
- Published
- 2019
16. O3 ALTERED BEHAVIOURAL EFFECTS OF ETHANOL AND INCREASED VOLUNTARY ETHANOL CONSUMPTION IN MICE LACKING CCK2 RECEPTORS
- Author
-
Abramov, U., Vasar, E., and Koks, S.
- Published
- 2005
17. Promoter polymorphism at position − 592 of the interleukin-10 is not associated with early and late-onset psoriasis
- Author
-
Kingo, K, Koks, S, Karelson, M, Silm, H, and Vasar, E
- Published
- 2002
18. Clinical and genetic differences between pustular psoriasis subtypes
- Author
-
Twelves, S, Mostafa, A, Dand, N, Burri, E, Farkas, K, Wilson, R, Cooper, HL, Irvine, AD, Oon, HH, Kingo, K, Koks, S, Mrowietz, U, Puig, L, Reynolds, N, Tan, EST, Tanew, A, Torz, K, Trattner, H, Valentine, M, Wahie, S, Warren, RB, Wright, A, Bata-Csorgo, Z, Szell, M, Griffiths, CEM, Burden, AD, Choon, SE, Smith, CH, Barker, JN, Navarini, AA, and Capon, F
- Subjects
palmoplantar pustulosis ,Generalized pustular psoriasis ,Generalised pustular psoriasis ,ACH, Acrodermatitis continua of Hallopeau ,GPP, Generalized pustular psoriasis ,PPP, Palmoplantar pustulosis ,IL36RN ,genotype-phenotype correlation ,ERASPEN, European Rare and Severe Psoriasis Expert Network ,PV, Psoriasis vulgaris ,acrodermatitis continua of Hallopeau ,Article ,AP1S3 - Abstract
Background The term pustular psoriasis indicates a group of severe skin disorders characterized by eruptions of neutrophil-filled pustules. The disease, which often manifests with concurrent psoriasis vulgaris, can have an acute systemic (generalized pustular psoriasis [GPP]) or chronic localized (palmoplantar pustulosis [PPP] and acrodermatitis continua of Hallopeau [ACH]) presentation. Although mutations have been uncovered in IL36RN and AP1S3, the rarity of the disease has hindered the study of genotype-phenotype correlations. Objective We sought to characterize the clinical and genetic features of pustular psoriasis through the analysis of an extended patient cohort. Methods We ascertained a data set of unprecedented size, including 863 unrelated patients (251 with GPP, 560 with PPP, 28 with ACH, and 24 with multiple diagnoses). We undertook mutation screening in 473 cases. Results Psoriasis vulgaris concurrence was lowest in PPP (15.8% vs 54.4% in GPP and 46.2% in ACH, P, Graphical abstract
- Published
- 2018
19. Relation of exploratory behaviour to plasma corticosterone and Wfs1 gene expression in Wistar rats
- Author
-
Sutt, S., Raud, S., Abramov, U., Innos, J., Luuk, H., Plaas, M., Koks, S., Zilmer, K., Mahlapuu, R., Zilmer, M., and Vasar, E.
- Subjects
Anxiety -- Psychological aspects ,Corticosterone -- Psychological aspects ,Gene expression -- Analysis ,Oxidative stress -- Physiological aspects ,Pharmaceuticals and cosmetics industries ,Psychology and mental health - Published
- 2010
20. Mouse models of ageing and their relevance to disease
- Author
-
Koks S, Dogan S, Tuna B, Gonzalez-Navarro H, Potter P, and Vandenbroucke R
- Subjects
Delayed ageing ,Ageing ,Caloric restriction ,Mouse models ,Accelerated ageing - Abstract
Ageing is a process that gradually increases the organism's vulnerability to death. It affects different biological pathways, and the underlying cellular mechanisms are complex. In view of the growing disease burden of ageing populations, increasing efforts are being invested in understanding the pathways and mechanisms of ageing. We review some mouse models commonly used in studies on ageing, highlight the advantages and disadvantages of the different strategies, and discuss their relevance to disease susceptibility. In addition to addressing the genetics and phenotypic analysis of mice, we discuss examples of models of delayed or accelerated ageing and their modulation by caloric restriction. (C) 2016 The Authors. Published by Elsevier Ireland Ltd. This is an open access article under the CC BY-NC-ND license.
- Published
- 2016
21. Advances in gene therapy for Wolfram syndrome
- Author
-
Hamel, C., primary, Jagodzinska, J., additional, Bonner-Wersinger, D., additional, Koks, S., additional, Seveno, M., additional, and Delettre, C., additional
- Published
- 2017
- Full Text
- View/download PDF
22. TOLL-LIKE RECEPTOR 7 GENE Gln11Leu MISSENSEMUTATION AND SUSCEPTIBILITY TO PSORIASIS
- Author
-
Galimova, E. S., primary, Kingo, K., additional, and Koks, S., additional
- Published
- 2017
- Full Text
- View/download PDF
23. [The Role of Neurotrophins and Neurexins Genes in the Risk of Paranoid Schizophrenia in Russians and Tatars]
- Author
-
Ae, Gareeva, Traks T, Koks S, and Ek, Khusnutdinova
- Subjects
Adult ,Male ,Membrane Glycoproteins ,Schizophrenia, Paranoid ,Brain-Derived Neurotrophic Factor ,Cell Adhesion Molecules, Neuronal ,Calcium-Binding Proteins ,Neuropeptides ,Nerve Tissue Proteins ,Protein-Tyrosine Kinases ,Bashkiria ,Polymorphism, Single Nucleotide ,Case-Control Studies ,Nerve Growth Factor ,Ethnicity ,Humans ,Receptor, trkB ,Female ,Genetic Predisposition to Disease ,Receptor, trkC ,Nerve Growth Factors ,Neural Cell Adhesion Molecules ,Glycoproteins - Abstract
Schizophrenia affects about 1% of the population. Its etiology is not fully understood. Environmental conditions certainly contribute to the development of schizophrenia, but the determining factor is genetic predisposition: the coefficient of heritability of schizophrenia is about 80%, which is typical for the most highly heritable multifactorial diseases. Polymorphic loci of genes of enzymes and receptors involved in the processes of neuroprotection and neurotrophia play significant role in the development of this disease. In this paper we investigated 48 polymorphic variants of genes of the neurotrophins and neurexins family (BDNF, NTRK2, NTRK3, NGF, NXPH1, and NRXN1) in Russian and Tatar cases and in a control group living in the Republic of Bashkortostan. The results of this study confirm the important role of neurotrophin and neurexin genes in paranoid schizophrenia development.
- Published
- 2015
24. [Association of polymorphisms in toll-like receptor genes with atopic dermatitis in the Republic of Bashkortostan]
- Author
-
Gf, Gimalova, As, Karunas, Fedorova IuIu, Ér, Gumennaia, Sv, Levasheva, Zr, Khismatullina, Prans E, Koks S, Éi, Étkina, and Ék, Khusnutdinova
- Subjects
Adult ,Male ,Adolescent ,Lipopolysaccharide Receptors ,Nod2 Signaling Adaptor Protein ,Gene Expression ,Dermatitis, Atopic ,Gene Frequency ,Nod1 Signaling Adaptor Protein ,Humans ,Genetic Predisposition to Disease ,Child ,Alleles ,Polymorphism, Genetic ,Chromosomes, Human, Pair 11 ,Toll-Like Receptors ,Membrane Proteins ,Nuclear Proteins ,Middle Aged ,Bashkiria ,Neoplasm Proteins ,Repressor Proteins ,Genetic Loci ,Case-Control Studies ,Child, Preschool ,Female ,Gene-Environment Interaction - Abstract
Atopic dermatitis (AD) is a prevalent chronic inflammatory skin disease developing as a result of the interaction between genetic predisposition and environmental factors. Considerable role in allergic diseases development is played by polymorphisms of genes of pattern-recognition receptors (PRR) which are capable of recognizing conservative standard molecular structures (patterns) unique for large pathogen groups. In this study polymorphic variants of PRR genes--Toll-like receptors (TLR1, TLR2, TLR4, TLR5, TLR6, TLR9, TLR10), NOD-like receptors (NOD1, NOD2), lipopolysaccharide receptor CD14 gene, and C11orf30 and LRRC32 genes, located in 11q13.5 region, have been investigated in AD patients and control subjects from the Republic of Bashkortostan. An association of TLR1 (rs5743571 and rs5743604), TLR6 (rs5743794) and TLR10 (rs11466617) with AD was found. Our results confirm an important role of the innate immune system in the pathogenesis of AD and the significance of polymorphisms within the Toll-like receptor 2 subfamily genes in AD development.
- Published
- 2015
25. NeuroChip, an updated version of the NeuroX genotyping platform to rapidly screen for variants associated with neurological diseases
- Author
-
Blauwendraat, C., Faghri, F., Pihlstrom, L., Geiger, J. T., Elbaz, A., Lesage, S., Corvol, J. -C., May, P., Nicolas, A., Abramzon, Y., Murphy, N. A., Gibbs, J. R., Ryten, M., Ferrari, R., Bras, J., Guerreiro, R., Williams, J., Sims, R., Lubbe, S., Hernandez, D. G., Mok, K. Y., Robak, L., Campbell, R. H., Rogaeva, E., Traynor, B. J., Chia, R., Chung, S. J., Hardy, J. A., Brice, A., Wood, N. W., Houlden, H., Shulman, J. M., Morris, H. R., Gasser, T., Kruger, R., Heutink, P., Sharma, M., Simon-Sanchez, J., Nalls, M. A., Singleton, A. B., Scholz, S. W., Noyce, A. J., Giri, A., Oehmig, A., Tucci, A., Schulte, C., Cookson, M. R., Kia, D., Danjou, F., Charlesworth, G., Plun-Favreau, H., Holmans, P., Jansen, I., Hardy, J., Bras, J. M., Quinn, J., Botia, J. A., Billingsley, K., R'Bibo, L., Lungu, C., Martinez, M., Escott-Price, V., Mencacci, N. E., Topley, Lewis, Denny, P., Rizzu, P., Taba, P., Lovering, R., Ogalla, R. D., Foulger, R., Finkbeiner, S., Sveinbjornsdottir, S., Scholz, S., Koks, S., Foltynie, T., Price, T. R., Sheerin, U. -M., Williams, N., Reed, X., Wang, L., Brockmann, K., Oertel, W., Klein, C., Mohamed, F., Malard, L., Corti, O., Drouet, V., Goldwurm, S., Tesei, S., Canesi, M., Valente, E. M., Petrucci, S., Ginevrino, M., Toft, M., Aasly, J., Henriksen, S. P., Saetehaug, C., Orr-Urtreger, A., Giladi, N., Ferreira, J., Guedes, L. C., Bouca-Machado, R., Coelho, M., Rosa, M. M., Tolosa, E., Fernandez-Santiago, R., Ezquerra, M., Marti, M. J., Glaab, E., Balling, R., and Chung, S. -J.
- Subjects
0301 basic medicine ,Aging ,methods [Genome-Wide Association Study] ,0302 clinical medicine ,Corticobasal degeneration ,neurodegenerative diseases ,humans ,risk ,high-throughput screening assays ,education.field_of_study ,General Neuroscience ,neurodegeneration ,genetics [Genetic Variation] ,3. Good health ,Neurochip ,alleles ,methods [Genotyping Techniques] ,Frontotemporal dementia ,Risk ,Population ,methods [High-Throughput Screening Assays] ,Computational biology ,Genetic screening ,genotyping ,NeuroChip ,NeuroX ,apolipoproteins E ,genetic variation ,genome-wide association study ,genotyping techniques ,Article ,Progressive supranuclear palsy ,03 medical and health sciences ,Apolipoproteins E ,medicine ,Humans ,Dementia ,ddc:610 ,education ,Genotyping ,Alleles ,business.industry ,medicine.disease ,030104 developmental biology ,genetics [Neurodegenerative Diseases] ,genetics [Apolipoproteins E] ,Neurology (clinical) ,Geriatrics and Gerontology ,business ,Neuroscience ,030217 neurology & neurosurgery ,Imputation (genetics) ,Developmental Biology - Abstract
Genetics has proven to be a powerful approach in neurodegenerative diseases research, resulting in the identification of numerous causal and risk variants. Previously, we introduced the NeuroX Illumina genotyping array, a fast and efficient genotyping platform designed for the investigation of genetic variation in neurodegenerative diseases. Here, we present its updated version, named NeuroChip. The NeuroChip is a low-cost, custom-designed array containing a tagging variant backbone of about 306,670 variants complemented with a manually curated custom content comprised of 179,467 variants implicated in diverse neurological diseases, including Alzheimer's disease, Parkinson's disease, Lewy body dementia, amyotrophic lateral sclerosis, frontotemporal dementia, progressive supranuclear palsy, corticobasal degeneration, and multiple system atrophy. The tagging backbone was chosen because of the low cost and good genome-wide resolution; the custom content can be combined with other backbones, like population or drug development arrays. Using the NeuroChip, we can accurately identify rare variants and impute over 5.3 million common SNPs from the latest release of the Haplotype Reference Consortium. In summary, we describe the design and usage of the NeuroChip array and show its capability for detecting rare pathogenic variants in numerous neurodegenerative diseases. The NeuroChip has a more comprehensive and improved content, which makes it a reliable, high-throughput, cost-effective screening tool for genetic research and molecular diagnostics in neurodegenerative diseases.
- Published
- 2017
26. Parkinson's disease in GTP cyclohydrolase 1 mutation carriers
- Author
-
Mencacci, N.E. Isaias, I.U. Reich, M.M. Ganos, C. Plagnol, V. Polke, J.M. Bras, J. Hersheson, J. Stamelou, M. Pittman, A.M. Noyce, A.J. Mok, K.Y. Opladen, T. Kunstmann, E. Hodecker, S. Münchau, A. Volkmann, J. Samnick, S. Sidle, K. Nanji, T. Sweeney, M.G. Houlden, H. Batla, A. Zecchinelli, A.L. Pezzoli, G. Marotta, G. Lees, A. Alegria, P. Krack, P. Cormier-Dequaire, F. Lesage, S. Brice, A. Heutink, P. Gasser, T. Lubbe, S.J. Morris, H.R. Taba, P. Koks, S. Majounie, E. Gibbs, J.R. Singleton, A. Hardy, J. Klebe, S. Bhatia, K.P. Wood, N.W.
- Subjects
nervous system diseases - Abstract
GTP cyclohydrolase 1, encoded by the GCH1 gene, is an essential enzyme for dopamine production in nigrostriatal cells. Lossof- function mutations in GCH1 result in severe reduction of dopamine synthesis in nigrostriatal cells and are the most common cause of DOPA-responsive dystonia, a rare disease that classically presents in childhood with generalized dystonia and a dramatic long-lasting response to levodopa. We describe clinical, genetic and nigrostriatal dopaminergic imaging ([123I]N-ω- fluoropropyl-2b-carbomethoxy-3b-(4-iodophenyl) tropane single photon computed tomography) findings of four unrelated pedigrees with DOPA-responsive dystonia in which pathogenic GCH1 variants were identified in family members with adult-onset parkinsonism. Dopamine transporter imaging was abnormal in all parkinsonian patients, indicating Parkinson's disease-like nigrostriatal dopaminergic denervation. We subsequently explored the possibility that pathogenic GCH1 variants could contribute to the risk of developing Parkinson's disease, even in the absence of a family history for DOPA-responsive dystonia. The frequency of GCH1 variants was evaluated in whole-exome sequencing data of 1318 cases with Parkinson's disease and 5935 control subjects. Combining cases and controls, we identified a total of 11 different heterozygous GCH1 variants, all at low frequency. This list includes four pathogenic variants previously associated with DOPA-responsive dystonia (Q110X, V204I, K224R and M230I) and seven of undetermined clinical relevance (Q110E, T112A, A120S, D134G, I154V, R198Q and G217V). The frequency of GCH1 variants was significantly higher (Fisher's exact test P-value 0.0001) in cases (10/1318 = 0.75%) than in controls (6/5935 = 0.1%; odds ratio 7.5; 95% confidence interval 2.4-25.3). Our results show that rare GCH1 variants are associated with an increased risk for Parkinson's disease. These findings expand the clinical and biological relevance of GTP cycloydrolase 1 deficiency, suggesting that it not only leads to biochemical striatal dopamine depletion and DOPA-responsive dystonia, but also predisposes to nigrostriatal cell loss. Further insight into GCH1-associated pathogenetic mechanisms will shed light on the role of dopamine metabolism in nigral degeneration and Parkinson's disease. © The Author (2014).
- Published
- 2014
27. P.1.020 The role of tachykinin receptor 1 gene (TACR1), estrogen alpha and oxytocin receptor genes (ESR1, OXTR) in variation of personality traits
- Author
-
Kutlumbetova, Y., primary, Kazantseva, A., additional, Malykh, S., additional, Traks, T., additional, Koks, S., additional, and Khusnutdinova, E., additional
- Published
- 2014
- Full Text
- View/download PDF
28. S.2.05 Wolframin (WFS1) deficient mice display increased anxiety and reduced adaptation in a novel environment
- Author
-
Vasar, E., Kõks, S., Luuk, H., Plaas, M., Sütt, S., Raud, S., Kurrikoff, K., Abramov, U., and Innos, J.
- Published
- 2009
- Full Text
- View/download PDF
29. Associations between LSAMP gene polymorphisms and major depressive disorder and panic disorder
- Author
-
Koido, K, primary, Traks, T, additional, Balõtšev, R, additional, Eller, T, additional, Must, A, additional, Koks, S, additional, Maron, E, additional, Tõru, I, additional, Shlik, J, additional, Vasar, V, additional, and Vasar, E, additional
- Published
- 2012
- Full Text
- View/download PDF
30. WITHDRAWN: TNF-Related Apoptosis-Inducing Ligand TRAIL as a Potential Biomarker for Early Pregnancy Complications
- Author
-
Rull, K., primary, Tomberg, K., additional, Koks, S., additional, Mannik, J., additional, Mols, M., additional, Sirotkina, M., additional, Varv, S., additional, and Laan, M., additional
- Published
- 2012
- Full Text
- View/download PDF
31. P.1.a.007 Neurotrophin family genes (BDNF and NTRK2) and personality traits in healthy individuals
- Author
-
Kazantseva, A., primary, Khannanova, A., additional, Traks, T., additional, Koks, S., additional, and Khusnutdinova, E., additional
- Published
- 2010
- Full Text
- View/download PDF
32. An Adult`s Vitiligo in Estonia: Study of 155 Patients
- Author
-
Karelson, M., primary, Kingo, K., additional, Salum, T., additional, Koks, S., additional, and Silm, H., additional
- Published
- 2009
- Full Text
- View/download PDF
33. Screen for genes in periaqueductal grey of male Wistar rats related to reduced exploratory activity in the elevated plus-maze
- Author
-
NELOVKOV, A, primary, SUTT, S, additional, RAUD, S, additional, VASAR, E, additional, and KOKS, S, additional
- Published
- 2007
- Full Text
- View/download PDF
34. A screen for genes induced in the amygdaloid area during cat odor exposure
- Author
-
Koks, S., primary, Luuk, H., additional, Nelovkov, A., additional, Areda, T., additional, and Vasar, E., additional
- Published
- 2004
- Full Text
- View/download PDF
35. P.3.020 A screen for genes induced in the amygdaloid area of rats during cat odor exposure
- Author
-
Koks, S., primary
- Published
- 2003
- Full Text
- View/download PDF
36. P.3.070 CCK2 receptor deficient mice: Changes in anxiety and pain sensitivity
- Author
-
Vasar, E., primary, Koks, S., additional, Abramov, U., additional, Innos, J., additional, Raud, S., additional, Kurrikoff, K., additional, Volke, V., additional, Bourin, M., additional, and Matsui, T., additional
- Published
- 2003
- Full Text
- View/download PDF
37. Further studies on the role of cholecystokinin-A and B receptors in secretion of anterior pituitary hormones in male rats
- Author
-
Peuranen, E, primary, Vasar, E, additional, Koks, S, additional, Volke, V, additional, Lang, A, additional, Rauhala, P, additional, and Männistö, P.T, additional
- Published
- 1995
- Full Text
- View/download PDF
38. Strain and gender differences in the behavior of mouse lines commonly used in transgenic studies
- Author
-
Voikar, V., Koks, S., Vasar, E., and Rauvala, H.
- Published
- 2001
- Full Text
- View/download PDF
39. Apomorphine-induced behavioural sensitization in rats: individual differences, role of dopamine and NMDA receptors
- Author
-
Voikar, V., Soosaar, A., Volke, V., Koks, S., Bourin, M., Mannisto, P. T., and Vasar, E.
- Published
- 1999
- Full Text
- View/download PDF
40. IL-10 promoter polymorphisms influence disease severity and course in psoriasis.
- Author
-
Kingo, K., Koks, S., Slim, H., and Vasar, E.
- Subjects
- *
PSORIASIS , *INTERLEUKIN-10 , *POLYMERASE chain reaction , *SKIN diseases - Abstract
We analyzed three single-nucleotide polymorphisms (SNPs) at the interleukin-10 (IL-10) 5' flanking region (positions -1082 A/G, -819 C/T and -592 C/A) in an association case-control study involving 248 patients with plaque type of psoriasis and 148 unrelated healthy volunteers using ARMS (amplification refractory mutation system)-PCR (Polymerase Chain Reaction) method. No difference was found in the frequencies of haplotype distribution between healthy controls and patients with psoriasis. There were no significant differences in the IL-10 haplotype distribution depending on the age of onset and family history of psoriasis. However, the results of our study demonstrate that the IL-10 haplotype has a role in determining severity and course of plaque type of psoriasis. IL-10 ACC haplotype (P`0.05) is likely to be defining lower activity of disease (PASI=20; extent=10%) and ATA haplotype is likely to be associated with persistent eruption (P`0.01). As ACC haplotype is suggested to be associated with high IL-10 secretion and ATA is related to low IL-10 secretion, potential differences in the IL-10 secretion levels might contribute the differences in the clinical course of psoriasis.Genes and Immunity (2003) 4, 455-457. doi:10.1038/sj.gene.6364004 [ABSTRACT FROM AUTHOR]
- Published
- 2003
- Full Text
- View/download PDF
41. Relation of exploratory behavior of rats in elevated plus-maze to brain receptor binding properties and serum growth hormone levels
- Author
-
Koks, S., Vasar, E., Soosaar, A., Lang, A., Volke, V., Voikar, V., Bourin, M., and Mannisto, P. T.
- Published
- 1997
- Full Text
- View/download PDF
42. L-Arginine abolishes the anxiolytic-like effect of diazepam in the elevated plus-maze test in rats
- Author
-
Volke, V., Soosaar, A., Koks, S., Vasar, E., and Maennistoe, P. T.
- Published
- 1998
- Full Text
- View/download PDF
43. Association analysis of limbic system-associated membrane protein gene polymorphisms in mood and anxiety disorders
- Author
-
Koido, K., Kõks, S., Must, A., Reimets, A., Maron, E., Shlik, J., Vasar, V., and Vasar, E.
- Published
- 2006
- Full Text
- View/download PDF
44. P.3.05 Association and haplotype analaysis of90 single-nucleotide polymorphisms in mood disorders
- Author
-
Maron, E., Kõks, S., Nikopensius, T., Ahmäe, S., Heinaste, E., Vabrit, K., Tammekivi, V., Hallast, E., Koido, K., Kurg, A., Shlik, J., Vasar, V., Metspalu, A., and Vasar, E.
- Published
- 2005
- Full Text
- View/download PDF
45. P.1.03 N-terminal domain of Wolframin interactswith carboxypeptidase E
- Author
-
Luuk, H., Tools, U., Kôks, S., and Vasar, E.
- Published
- 2005
- Full Text
- View/download PDF
46. P.3.031 Association study of 90 candidategenetic polymorphisms in panic disorder: Positive findings with SNPs in serotonin, cholecystokinin and dopamine related genes
- Author
-
Maron, E., Nkopensius, T., Kõks, S., Altmäe, S., Heinaste, E., Vabrit, K., Tammekivi, V., Hallast, P., Koido, K., Kurg, A., Metspalu, A., Vasar, E., Vasar, V., and Shlik, J.
- Published
- 2004
- Full Text
- View/download PDF
47. Rare frameshift mutation in SERPINA3 contributes to generalized pustular psoriasis
- Author
-
Hueffmeier, U. D., Sticht, H., Wenzel, J., Wilsmann-Theis, D., Wolff, K., Loehr, S., Frey, B., Hahn, M., Arif Ekici, Uebe, S., Thiel, C., Reis, A., Prinz, J., Oji, V., Schulz, P., Kingo, K., Koks, S., Moessner, R., Munoz, L., Kremer, A. E., and Frey, S.
48. The role of tachykinin receptor 1 gene (TACR1), estrogen alpha and oxytocin receptor genes (ESR1, OXTR) in variation of personality traits
- Author
-
Kutlumbetova, Y., Kazantseva, A., Sergey Malykh, Traks, T., Koks, S., and Khusnutdinova, E.
49. Association of polymorphisms in toll-like receptor genes with atopic dermatitis in the Republic of Bashkortostan
- Author
-
Gimalova, G. F., Karunas, A. S., Fedorova, Iu Iu, Gumennaia, E. R., Levasheva, S. V., Khismatullina, Z. R., Prans, E., Koks, S., Etkina, E. I., and Elza Khusnutdinova
50. Exposure to sixty minutes of hyperoxia upregulates myocardial humanins in patients with coronary artery disease - a pilot study
- Author
-
Starkopf J, Tahepold P, Koks S, Ene Reimann, Ruusalepp A, and Karu I
- Subjects
Male ,Oxygen ,Gene Expression Profiling ,Myocardium ,Intracellular Signaling Peptides and Proteins ,Humans ,Female ,Pilot Projects ,Coronary Artery Disease ,Middle Aged ,Aged ,Up-Regulation - Abstract
In experimental setting the concept of myocardial preconditioning by hyperoxia has been introduced and different intracellular protective mechanisms and their effects have been described. To study whether similar protective phenotype can be induced by hyperoxia also in humans, gene expression profile after hyperoxic exposure was analyzed. Adult patients were randomized to be ventilated with either FiO2 0.4 (n = 14) or 1.0 (n = 10) for 60 minutes before coronary artery bypass grafting. A tissue sample from the right atrial appendage was taken for gene analysis and expression profile analysis on genome wide level by RNA-seq analysis was applied. Exposure to96% oxygen for 60 minutes significantly changed the expression of 20 different genes, including upregulation of two different humanins - MTRNR2L2 and MTRNR2L8, and activated a "cell survival" network as detected by Ingenuity Pathway Analyses. We concluded that administration of96% oxygen for 1 hour changes gene expression in the myocardium of the patients with coronary artery disease and may enhance cell survival capability.
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.