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1. Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactions

Author

Sivade (Dumousseau), M., Alonso-López, D., Ammari, M., Bradley, G., Campbell, N. H., Ceol, A., Cesareni, G., Combe, C., De Las Rivas, J., del-Toro, N., Heimbach, J., Hermjakob, H., Jurisica, I., Koch, M., Licata, L., Lovering, R. C., Lynn, D. J., Meldal, B. H. M., Micklem, G., Panni, S., Porras, P., Ricard-Blum, S., Roechert, B., Salwinski, L., Shrivastava, A., Sullivan, J., Thierry-Mieg, N., Yehudi, Y., Van Roey, K., and Orchard, S.

Published
2018
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3. 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

4. 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

5. 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

6. Finding genetically-supported drug targets for Parkinson’s disease using Mendelian randomization of the druggable genome

Author

Storm, C.S., Kia, D.A., Almramhi, M.M., Bandrés-Ciga, S., Finan, C., 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, A., 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, M., Alvarez, I., Alvarez, V., Barrero, F.J., Yarza, J.A.B., Bernal-Bernal, I., Blazquez, M., Bonilla-Toribio, M., Botía, J.A., Boungiorno, M.T., 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, M.J.G., Gonzalez-Aramburu, I., Pagola, A.G., Hoenicka, J., Infante, J., Jesús, S., Jimenez-Escrig, A., Kulisevsky, J., 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, L., Vives, F., Zimprich, A., Pihlstrom, L., Toft, M., Taba, P., Kõks, 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, A.D., Wood, N.W., Storm, C.S., Kia, D.A., Almramhi, M.M., Bandrés-Ciga, S., Finan, C., 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, A., 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, M., Alvarez, I., Alvarez, V., Barrero, F.J., Yarza, J.A.B., Bernal-Bernal, I., Blazquez, M., Bonilla-Toribio, M., Botía, J.A., Boungiorno, M.T., 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, M.J.G., Gonzalez-Aramburu, I., Pagola, A.G., Hoenicka, J., Infante, J., Jesús, S., Jimenez-Escrig, A., Kulisevsky, J., 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, L., Vives, F., Zimprich, A., Pihlstrom, L., Toft, M., Taba, P., Kõks, 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, A.D., and Wood, N.W.

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.

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. The DNA sequence and comparative analysis of human chromosome 10

Author

Deloukas, P., Earthrowl, M. E., Grafham, D. V., Rubenfield, M., French, L., Steward, C. A., Sims, S. K., Jones, M. C., Searle, S., Scott, C., Howe, K., Hunt, S. E., Andrews, T. D., Gilbert, J. G. R., Swarbreck, D., Ashurst, J. L., Taylor, A., Battles, J., Bird, C. P., Ainscough, R., Almeida, J. P., Ashwell, R. I. S., Ambrose, K. D., Babbage, A. K., Bagguley, C. L., Bailey, J., Banerjee, R., Bates, K., Beasley, H., Bray-Allen, S., Brown, A. J., Brown, J. Y., Burford, D. C., Burrill, W., Burton, J., Cahill, P., Camire, D., Carter, N. P., Chapman, J. C., Clark, S. Y., Clarke, G., Clee, C. M., Clegg, S., Corby, N., Coulson, A., Dhami, P., Dutta, I., Dunn, M., Faulkner, L., Frankish, A., Frankland, J. A., Garner, P., Garnett, J., Gribble, S., Griffiths, C., Grocock, R., Gustafson, E., Hammond, S., Harley, J. L., Hart, E., Heath, P. D., Ho, T. P., Hopkins, B., Horne, J., Howden, P. J., Huckle, E., Hynds, C., Johnson, C., Johnson, D., Kana, A., Kay, M., Kimberley, A. M., Kershaw, J. K., Kokkinaki, M., Laird, G. K., Lawlor, S., Lee, H. M., Leongamornlert, D. A., Laird, G., Lloyd, C., Lloyd, D. M., Loveland, J., Lovell, J., McLaren, S., McLay, K. E., McMurray, A., Mashreghi-Mohammadi, M., Matthews, L., Milne, S., Nickerson, T., Nguyen, M., Overton-Larty, E., Palmer, S. A., Pearce, A. V., Peck, A. I., Pelan, S., Phillimore, B., Porter, K., Rice, C. M., Rogosin, A., Ross, M. T., Sarafidou, T., Sehra, H. K., Shownkeen, R., Skuce, C. D., Smith, M., Standring, L., Sycamore, N., Tester, J., Thorpe, A., Torcasso, W., Tracey, A., Tromans, A., Tsolas, J., Wall, M., Walsh, J., Wang, H., Weinstock, K., West, A. P., Willey, D. L., Whitehead, S. L., Wilming, L., Wray, P. W., Young, L., Chen, Y., Lovering, R. C., Moschonas, N. K., Siebert, R., Fechtel, K., Bentley, D., Durbin, R., Hubbard, T., Doucette-Stamm, L., Beck, S., Smith, D. R., and Rogers, J.

Subjects
Environmental issues, Science and technology, Zoology and wildlife conservation
Abstract

Author(s): P. Deloukas (corresponding author) [1]; M. E. Earthrowl [1]; D. V. Grafham [1]; M. Rubenfield [2, 3]; L. French [1]; C. A. Steward [1]; S. K. Sims [1]; M. [...]

Published
2004
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9. 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

10. 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
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11. 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

12. 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

13. 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. Moving beyond neurons:the role of cell type-specific gene regulation in Parkinson’s disease heritability

Author

Reynolds, R. H. (Regina H.), Botia, J. (Juan), Nalls, M. A. (Mike A.), Hardy, J. (John), Taliun, S. A. (Sarah A. Gagliano), Ryten, M. (Mina), Noyce, A. J. (Alastair J.), Nicolas, A. (Aude), Cookson, M. R. (Mark R.), Bandres-Ciga, S. (Sara), Gibbs, J. R. (J. Raphael), Hernandez, D. G. (Dena G.), Singleton, A. B. (Andrew B.), Reed, X. (Xylena), Leonard, H. (Hampton), Blauwendraat, C. (Cornelis), Faghri, F. (Faraz), Bras, J. (Jose), Guerreiro, R. (Rita), Tucci, A. (Arianna), Kia, D. A. (Demis A.), Houlden, H. (Henry), Plun-Favreau, H. (Helene), Mok, K. Y. (Kin Y.), Wood, N. W. (Nicholas W.), Lovering, R. (Ruth), R'Bibo, L. (Lea), Rizig, M. (Mie), Chelban, V. (Viorica), Trabzuni, D. (Daniah), Tan, M. (Manuela), Morris, H. R. (Huw R.), Middlehurst, B. (Ben), Quinn, J. (John), Billingsley, K. (Kimberley), Holmans, P. (Peter), Kinghorn, K. J. (Kerri J.), Lewis, P. (Patrick), Escott-Price, V. (Valentina), Williams, N. (Nigel), Foltynie, T. (Thomas), Brice, A. (Alexis), Danjou, F. (Fabrice), Lesage, S. (Suzanne), Corvol, J.-C. (Jean-Christophe), Martinez, M. (Maria), Giri, A. (Anamika), Schulte, C. (Claudia), Brockmann, K. (Kathrin), Simon-Sanchez, J. (Javier), Heutink, P. (Peter), Gasser, T. (Thomas), Rizzu, P. (Patrizia), Sharma, M. (Manu), Shulman, J. M. (Joshua M.), Robak, L. (Laurie), Lubbe, S. (Steven), Mencacci, N. E. (Niccolo E.), Finkbeiner, S. (Steven), Lungu, C. (Codrin), Scholz, S. W. (Sonja W.), Gan-Or, Z. (Ziv), Rouleau, G. A. (Guy A.), Krohan, L. (Lynne), van Hilten, J. J. (Jacobus J.), Marinus, J. (Johan), Adarmes-Gomez, A. D. (Astrid D.), Bernal-Bernal, I. (Inmaculada), Bonilla-Toribio, M. (Marta), Buiza-Rueda, D. (Dolores), Carrillo, F. (Fatima), Carrion-Claro, M. (Mario), Mir, P. (Pablo), Gomez-Garre, P. (Pilar), Jesus, S. (Silvia), Labrador-Espinosa, M. A. (Miguel A.), Macias, D. (Daniel), Vargas-Gonzalez, L. (Laura), Mendez-del-Barrio, C. (Carlota), Perinan-Tocino, T. (Teresa), Tejera-Parrado, C. (Cristina), Diez-Fairen, M. (Monica), Aguilar, M. (Miquel), Alvarez, I. (Ignacio), Teresa Boungiorno, M. (Mara), Carcel, M. (Maria), Pastor, P. (Pau), Pablo Tartari, J. (Juan), Alvarez, V. (Victoria), Menendez Gonzalez, M. (Manuel), Blazquez, M. (Marta), Garcia, C. (Ciara), Suarez-Sanmartin, E. (Esther), Javier Barrero, F. (Francisco), Mondragon Rezola, E. (Elisabet), Bergareche Yarza, J. A. (Jesus Alberto), Gorostidi Pagola, A. (Ana), de Munain Arregui, A. L. (Adolfo Lopez), Ruiz-Martinez, J. (Javier), Cerdan, D. (Debora), Duarte, J. (Jacinto), Clarimon, J. (Jordi), Dols-Icardo, O. (Oriol), Infante, J. (Jon), Marin, J. (Juan), Kulisevsky, J. (Jaime), Pagonabarraga, J. (Javier), Gonzalez-Aramburu, I. (Isabel), Sanchez Rodriguez, A. (Antonio), Sierra, M. (Mara), Duran, R. (Raquel), Ruz, C. (Clara), Vives, F. (Francisco), Escamilla-Sevilla, F. (Francisco), Minguez, A. (Adolfo), Camara, A. (Ana), Compta, Y. (Yaroslau), Ezquerra, M. (Mario), Jose Marti, M. (Maria), Fernandez, M. (Manel), Munoz, E. (Esteban), Fernandez-Santiago, R. (Ruben), Tolosa, E. (Eduard), Valldeoriola, F. (Francesc), Garcia-Ruiz, P. (Pedro), Gomez Heredia, M. J. (Maria Jose), Perez Errazquin, F. (Francisco), Hoenicka, J. (Janet), Jimenez-Escrig, A. (Adriano), Carlos Martinez-Castrillo, J. (Juan), Luis Lopez-Sendon, J. (Jose), Martinez Torres, I. (Irene), Tabernero, C. (Cesar), Vela, L. (Lydia), Zimprich, A. (Alexander), Pihlstrom, L. (Lasse), Koks, S. (Sulev), Taba, P. (Pille), Majamaa, K. (Kari), Siitonen, A. (Ari), Okubadejo, N. U. (Njideka U.), Ojo, O. O. (Oluwadamilola O.), Pitcher, T. (Toni), Anderson, T. (Tim), Bentley, S. (Steven), Fowdar, J. (Javed), Mellick, G. (George), Dalrymple-Alford, J. (John), Henders, A. K. (Anjali K.), Kassam, I. (Irfahan), Montgomery, G. (Grant), Sidorenko, J. (Julia), Zhang, F. (Futao), Xue, A. (Angli), Vallerga, C. L. (Costanza L.), Wallace, L. (Leanne), Wray, N. R. (Naomi R.), Yang, J. (Jian), Visscher, P. M. (Peter M.), Gratten, J. (Jacob), Silburn, P. A. (Peter A.), Halliday, G. (Glenda), Hickie, I. (Ian), Kwok, J. (John), Lewis, S. (Simon), Kennedy, M. (Martin), Pearson, J. (John), Reynolds, R. H. (Regina H.), Botia, J. (Juan), Nalls, M. A. (Mike A.), Hardy, J. (John), Taliun, S. A. (Sarah A. Gagliano), Ryten, M. (Mina), Noyce, A. J. (Alastair J.), Nicolas, A. (Aude), Cookson, M. R. (Mark R.), Bandres-Ciga, S. (Sara), Gibbs, J. R. (J. Raphael), Hernandez, D. G. (Dena G.), Singleton, A. B. (Andrew B.), Reed, X. (Xylena), Leonard, H. (Hampton), Blauwendraat, C. (Cornelis), Faghri, F. (Faraz), Bras, J. (Jose), Guerreiro, R. (Rita), Tucci, A. (Arianna), Kia, D. A. (Demis A.), Houlden, H. (Henry), Plun-Favreau, H. (Helene), Mok, K. Y. (Kin Y.), Wood, N. W. (Nicholas W.), Lovering, R. (Ruth), R'Bibo, L. (Lea), Rizig, M. (Mie), Chelban, V. (Viorica), Trabzuni, D. (Daniah), Tan, M. (Manuela), Morris, H. R. (Huw R.), Middlehurst, B. (Ben), Quinn, J. (John), Billingsley, K. (Kimberley), Holmans, P. (Peter), Kinghorn, K. J. (Kerri J.), Lewis, P. (Patrick), Escott-Price, V. (Valentina), Williams, N. (Nigel), Foltynie, T. (Thomas), Brice, A. (Alexis), Danjou, F. (Fabrice), Lesage, S. (Suzanne), Corvol, J.-C. (Jean-Christophe), Martinez, M. (Maria), Giri, A. (Anamika), Schulte, C. (Claudia), Brockmann, K. (Kathrin), Simon-Sanchez, J. (Javier), Heutink, P. (Peter), Gasser, T. (Thomas), Rizzu, P. (Patrizia), Sharma, M. (Manu), Shulman, J. M. (Joshua M.), Robak, L. (Laurie), Lubbe, S. (Steven), Mencacci, N. E. (Niccolo E.), Finkbeiner, S. (Steven), Lungu, C. (Codrin), Scholz, S. W. (Sonja W.), Gan-Or, Z. (Ziv), Rouleau, G. A. (Guy A.), Krohan, L. (Lynne), van Hilten, J. J. (Jacobus J.), Marinus, J. (Johan), Adarmes-Gomez, A. D. (Astrid D.), Bernal-Bernal, I. (Inmaculada), Bonilla-Toribio, M. (Marta), Buiza-Rueda, D. (Dolores), Carrillo, F. (Fatima), Carrion-Claro, M. (Mario), Mir, P. (Pablo), Gomez-Garre, P. (Pilar), Jesus, S. (Silvia), Labrador-Espinosa, M. A. (Miguel A.), Macias, D. (Daniel), Vargas-Gonzalez, L. (Laura), Mendez-del-Barrio, C. (Carlota), Perinan-Tocino, T. (Teresa), Tejera-Parrado, C. (Cristina), Diez-Fairen, M. (Monica), Aguilar, M. (Miquel), Alvarez, I. (Ignacio), Teresa Boungiorno, M. (Mara), Carcel, M. (Maria), Pastor, P. (Pau), Pablo Tartari, J. (Juan), Alvarez, V. (Victoria), Menendez Gonzalez, M. (Manuel), Blazquez, M. (Marta), Garcia, C. (Ciara), Suarez-Sanmartin, E. (Esther), Javier Barrero, F. (Francisco), Mondragon Rezola, E. (Elisabet), Bergareche Yarza, J. A. (Jesus Alberto), Gorostidi Pagola, A. (Ana), de Munain Arregui, A. L. (Adolfo Lopez), Ruiz-Martinez, J. (Javier), Cerdan, D. (Debora), Duarte, J. (Jacinto), Clarimon, J. (Jordi), Dols-Icardo, O. (Oriol), Infante, J. (Jon), Marin, J. (Juan), Kulisevsky, J. (Jaime), Pagonabarraga, J. (Javier), Gonzalez-Aramburu, I. (Isabel), Sanchez Rodriguez, A. (Antonio), Sierra, M. (Mara), Duran, R. (Raquel), Ruz, C. (Clara), Vives, F. (Francisco), Escamilla-Sevilla, F. (Francisco), Minguez, A. (Adolfo), Camara, A. (Ana), Compta, Y. (Yaroslau), Ezquerra, M. (Mario), Jose Marti, M. (Maria), Fernandez, M. (Manel), Munoz, E. (Esteban), Fernandez-Santiago, R. (Ruben), Tolosa, E. (Eduard), Valldeoriola, F. (Francesc), Garcia-Ruiz, P. (Pedro), Gomez Heredia, M. J. (Maria Jose), Perez Errazquin, F. (Francisco), Hoenicka, J. (Janet), Jimenez-Escrig, A. (Adriano), Carlos Martinez-Castrillo, J. (Juan), Luis Lopez-Sendon, J. (Jose), Martinez Torres, I. (Irene), Tabernero, C. (Cesar), Vela, L. (Lydia), Zimprich, A. (Alexander), Pihlstrom, L. (Lasse), Koks, S. (Sulev), Taba, P. (Pille), Majamaa, K. (Kari), Siitonen, A. (Ari), Okubadejo, N. U. (Njideka U.), Ojo, O. O. (Oluwadamilola O.), Pitcher, T. (Toni), Anderson, T. (Tim), Bentley, S. (Steven), Fowdar, J. (Javed), Mellick, G. (George), Dalrymple-Alford, J. (John), Henders, A. K. (Anjali K.), Kassam, I. (Irfahan), Montgomery, G. (Grant), Sidorenko, J. (Julia), Zhang, F. (Futao), Xue, A. (Angli), Vallerga, C. L. (Costanza L.), Wallace, L. (Leanne), Wray, N. R. (Naomi R.), Yang, J. (Jian), Visscher, P. M. (Peter M.), Gratten, J. (Jacob), Silburn, P. A. (Peter A.), Halliday, G. (Glenda), Hickie, I. (Ian), Kwok, J. (John), Lewis, S. (Simon), Kennedy, M. (Martin), and Pearson, J. (John)

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

17. Defects in sarcolemma repair and skeletal muscle function after injury in a mouse model of Niemann-Pick type A/B disease

Author

Michailowsky, V., Michailowsky, V., Li, H., Mittra, B., Iyer, S. R., Mazála, D. A. G., Corrotte, M., Wang, Y., Chin, E. R., Lovering, R. M., Andrews, N. W., Michailowsky, V., Michailowsky, V., Li, H., Mittra, B., Iyer, S. R., Mazála, D. A. G., Corrotte, M., Wang, Y., Chin, E. R., Lovering, R. M., and Andrews, N. W.

Abstract

Niemann-Pick disease type A (NPDA), a disease caused by mutations in acid sphingomyelinase (ASM), involves severe neurodegeneration and early death. Intracellular lipid accumulation and plasma membrane alterations are implicated in the pathology. ASM is also linked to the mechanism of plasma membrane repair, so we investigated the impact of ASM deficiency in skeletal muscle, a tissue that undergoes frequent cycles of injury and repair in vivo. Utilizing the NPDA/B mouse model ASM−/− and wild type (WT) littermates, we performed excitation-contraction coupling/Ca2+ mobilization and sarcolemma injury/repair assays with isolated flexor digitorum brevis fibers, proteomic analyses with quadriceps femoris, flexor digitorum brevis, and tibialis posterior muscle and in vivo tests of the contractile force (maximal isometric torque) of the quadriceps femoris muscle before and after eccentric contraction-induced muscle injury. ASM−/− flexor digitorum brevis fibers showed impaired excitation-contraction coupling compared to WT, a defect expressed as reduced tetanic [Ca2+]i in response to electrical stimulation and early failure in sustaining [Ca2+]i during repeated tetanic contractions. When injured mechanically by needle passage, ASM−/− flexor digitorum brevis fibers showed susceptibility to injury similar to WT, but a reduced ability to reseal the sarcolemma. Proteomic analyses revealed changes in a small group of skeletal muscle proteins as a consequence of ASM deficiency, with downregulation of calsequestrin occurring in the three different muscles analyzed. In vivo, the loss in maximal isometric torque of WT quadriceps femoris was similar immediately after and 2 min after injury. The loss in ASM−/− mice immediately after injury was similar to WT, but was markedly larger at 2 min after injury. Skeletal muscle fibers from ASM−/− mice have an impairment in intracellular Ca2+ handling that results in reduced Ca2+ mobilization and a more rapid decline in peak Ca2+ transients dur

Published
2019

22. Nat Commun

Author

Franceschini, N., GIAMBARTOLOMEI, C., DE VRIES, P. S., FINAN, C., BIS, J. C., HUNTLEY, R. P., LOVERING, R. C., TAJUDDIN, S. M., WINKLER, T. W., GRAFF, M., KAVOUSI, M., Dale, C., SMITH, A. V., Hofer, E., VAN LEEUWEN, E. M., Nolte, I. M., Lu, L., Scholz, M., Sargurupremraj, Muralidharan, PITKANEN, N., FRANZEN, O., Joshi, P. K., NOORDAM, R., MARIONI, R. E., Hwang, S. J., MUSANI, S. K., SCHMINKE, U., PALMAS, W., ISAACS, A., CORREA, A., ZONDERMAN, A. B., Hofman, A., TEUMER, A., COX, A. J., UITTERLINDEN, A. G., Wong, A., SMIT, A. J., NEWMAN, A. B., Britton, A., RUUSALEPP, A., Sennblad, B., HEDBLAD, B., PASANIUC, B., PENNINX, B. W., LANGEFELD, C. D., WASSEL, C. L., Tzourio, Christophe, Fava, C., BALDASSARRE, D., O'LEARY, D. H., TEUPSER, D., Kuh, D., TREMOLI, E., MANNARINO, E., Grossi, E., BOERWINKLE, E., SCHADT, E. E., INGELSSON, E., VEGLIA, F., Rivadeneira, F., BEUTNER, F., Chauhan, Ganesh, Heiss, G., SNIEDER, H., Campbell, H., VOLZKE, H., MARKUS, H. S., DEARY, I. J., JUKEMA, J. W., de Graaf, J., Price, J., POTT, J., HOPEWELL, J. C., Liang, J., Thiery, J., Engmann, J., GERTOW, K., Rice, K., TAYLOR, K. D., DHANA, K., KIEMENEY, Lalm, LIND, L., RAFFIELD, L. M., LAUNER, L. J., HOLDT, L. M., DORR, M., DICHGANS, M., TRAYLOR, M., SITZER, M., KUMARI, M., Kivimaki, M., Nalls, M. A., MELANDER, O., RAITAKARI, O., FRANCO, O. H., RUEDA-OCHOA, O. L., ROUSSOS, P., WHINCUP, P. H., Amouyel, P., Giral, P., ANUGU, P., WONG, Q., Malik, R., RAURAMAA, R., BURKHARDT, R., Hardy, R., Schmidt, R., DE MUTSERT, R., MORRIS, R. W., STRAWBRIDGE, R. J., WANNAMETHEE, S. G., HAGG, S., Shah, S., MCLACHLAN, S., TROMPET, S., SESHADRI, S., KURL, S., HECKBERT, S. R., Ring, S., HARRIS, T. B., LEHTIMAKI, T., GALESLOOT, T. E., Shah, T., DE FAIRE, U., Plagnol, V., ROSAMOND, W. D., Post, W., Zhu, X., Zhang, X., Guo, X., SABA, Y., DEHGHAN, A., SELDENRIJK, A., MORRISON, A. C., HAMSTEN, A., PSATY, B. M., VAN DUIJN, C. M., LAWLOR, D. A., MOOK-KANAMORI, D. O., BOWDEN, D. W., Schmidt, H., WILSON, J. F., ROTTER, J. I., WARDLAW, J. M., DEANFIELD, J., HALCOX, J., LYYTIKAINEN, L. P., Loeffler, M., EVANS, M. K., Debette, Stéphanie, HUMPHRIES, S. E., VOLKER, U., GUDNASON, V., HINGORANI, A. D., BJORKEGREN, J. L. M., CASAS, J. P., O'DONNELL, C. J., Bordeaux population health (BPH), and Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
VINTAGE, cardiovascular system, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, cardiovascular diseases, HEALTHY
Abstract

Carotid artery intima media thickness (cIMT) and carotid plaque are measures of subclinical atherosclerosis associated with ischemic stroke and coronary heart disease (CHD). Here, we undertake meta-analyses of genome-wide association studies (GWAS) in 71,128 individuals for cIMT, and 48,434 individuals for carotid plaque traits. We identify eight novel susceptibility loci for cIMT, one independent association at the previously-identified PINX1 locus, and one novel locus for carotid plaque. Colocalization analysis with nearby vascular expression quantitative loci (cis-eQTLs) derived from arterial wall and metabolic tissues obtained from patients with CHD identifies candidate genes at two potentially additional loci, ADAMTS9 and LOXL4. LD score regression reveals significant genetic correlations between cIMT and plaque traits, and both cIMT and plaque with CHD, any stroke subtype and ischemic stroke. Our study provides insights into genes and tissue-specific regulatory mechanisms linking atherosclerosis both to its functional genomic origins and its clinical consequences in humans.

Published
2018
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23. Improving interpretation of cardiac phenotypes and enhancing discovery with expanded knowledge in the gene ontology

Author

Lovering, R, Roncaglia, P, Howe, D, Laulederkind, S, Khodiyar, V, Berardini, T, Tweedie, S, Foulger, R, Osumi-Sutherland, D, Campbell, N, Huntley, R, Talmud, P, Blake, J, Breckenridge, R, Riley, P, Lambiase, P, Elliott, P, Clapp, L, Tinker, A, and Hill, D

Subjects
Proteomics, data curation, Heart Diseases, Computational Biology, Heart, Molecular Sequence Annotation, Original Articles, arrhythmias, cardiac, electrophysiology, Gene Ontology, Phenotype, Databases, Genetic, ComputingMethodologies_DOCUMENTANDTEXTPROCESSING, Humans, genetics, transcriptome
Abstract

Supplemental Digital Content is available in the text., Background: A systems biology approach to cardiac physiology requires a comprehensive representation of how coordinated processes operate in the heart, as well as the ability to interpret relevant transcriptomic and proteomic experiments. The Gene Ontology (GO) Consortium provides structured, controlled vocabularies of biological terms that can be used to summarize and analyze functional knowledge for gene products. Methods and Results: In this study, we created a computational resource to facilitate genetic studies of cardiac physiology by integrating literature curation with attention to an improved and expanded ontological representation of heart processes in the Gene Ontology. As a result, the Gene Ontology now contains terms that comprehensively describe the roles of proteins in cardiac muscle cell action potential, electrical coupling, and the transmission of the electrical impulse from the sinoatrial node to the ventricles. Evaluating the effectiveness of this approach to inform data analysis demonstrated that Gene Ontology annotations, analyzed within an expanded ontological context of heart processes, can help to identify candidate genes associated with arrhythmic disease risk loci. Conclusions: We determined that a combination of curation and ontology development for heart-specific genes and processes supports the identification and downstream analysis of genes responsible for the spread of the cardiac action potential through the heart. Annotating these genes and processes in a structured format facilitates data analysis and supports effective retrieval of gene-centric information about cardiac defects.

Published
2018

24. CausalTAB: the PSI-MITAB 2.8 updated format for signalling data representation and dissemination

Author

Perfetto, L, primary, Acencio, M L, additional, Bradley, G, additional, Cesareni, G, additional, Del Toro, N, additional, Fazekas, D, additional, Hermjakob, H, additional, Korcsmaros, T, additional, Kuiper, M, additional, Lægreid, A, additional, Lo Surdo, P, additional, Lovering, R C, additional, Orchard, S, additional, Porras, P, additional, Thomas, P D, additional, Touré, V, additional, Zobolas, J, additional, and Licata, L, additional

Published
2019
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27. Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactions

Author

Biotechnology and Biological Sciences Research Council (UK), European Commission, Ontario Research Fund, Canada Research Chairs, Fondation pour la Recherche Médicale, British Heart Foundation, European Research Council, Wellcome Trust, National Institutes of Health (US), Sivade (Dumousseau), M., Alonso-López, D., Ammari, M., Bradley, G., Campbell, N. H, Ceol, A., Cesareni, G., Combe, C. W., De Las Rivas, Javier, Toro, N. del, Heimbach, J., Hermjakob, H., Jurisica, I., Koch, M., Licata, L., Lovering, R. C., Lynn, D. J., Meldal, B. H. M., Micklem, G., Panni, S., Porras, P., Ricard-Blum, S., Roechert, B., Salwinski, L., Shrivastava, A., Sullivan, J., Thierry-Mieg, N., Yehudi, Y., Van Roey, K., Orchard, S., Biotechnology and Biological Sciences Research Council (UK), European Commission, Ontario Research Fund, Canada Research Chairs, Fondation pour la Recherche Médicale, British Heart Foundation, European Research Council, Wellcome Trust, National Institutes of Health (US), Sivade (Dumousseau), M., Alonso-López, D., Ammari, M., Bradley, G., Campbell, N. H, Ceol, A., Cesareni, G., Combe, C. W., De Las Rivas, Javier, Toro, N. del, Heimbach, J., Hermjakob, H., Jurisica, I., Koch, M., Licata, L., Lovering, R. C., Lynn, D. J., Meldal, B. H. M., Micklem, G., Panni, S., Porras, P., Ricard-Blum, S., Roechert, B., Salwinski, L., Shrivastava, A., Sullivan, J., Thierry-Mieg, N., Yehudi, Y., Van Roey, K., and Orchard, S.

Abstract

[Background]: Systems biologists study interaction data to understand the behaviour of whole cell systems, and their environment, at a molecular level. In order to effectively achieve this goal, it is critical that researchers have high quality interaction datasets available to them, in a standard data format, and also a suite of tools with which to analyse such data and form experimentally testable hypotheses from them. The PSI-MI XML standard interchange format was initially published in 2004, and expanded in 2007 to enable the download and interchange of molecular interaction data. PSI-XML2.5 was designed to describe experimental data and to date has fulfilled this basic requirement. However, new use cases have arisen that the format cannot properly accommodate. These include data abstracted from more than one publication such as allosteric/cooperative interactions and protein complexes, dynamic interactions and the need to link kinetic and affinity data to specific mutational changes. [Results]: The Molecular Interaction workgroup of the HUPO-PSI has extended the existing, well-used XML interchange format for molecular interaction data to meet new use cases and enable the capture of new data types, following extensive community consultation. PSI-MI XML3.0 expands the capabilities of the format beyond simple experimental data, with a concomitant update of the tool suite which serves this format. The format has been implemented by key data producers such as the International Molecular Exchange (IMEx) Consortium of protein interaction databases and the Complex Portal. [Conclusions]: PSI-MI XML3.0 has been developed by the data producers, data users, tool developers and database providers who constitute the PSI-MI workgroup. This group now actively supports PSI-MI XML2.5 as the main interchange format for experimental data, PSI-MI XML3.0 which additionally handles more complex data types, and the simpler, tab-delimited MITAB2.5, 2.6 and 2.7 for rapid parsing and dow

Published
2018

29. Plasma urate concentration and risk of coronary heart disease: a Mendelian randomisation analysis

Author

White, J, Sofat, R, Hemani, G, Shah, T, Engmann, J, Dale, C, Shah, S, Kruger, FA, Giambartolomei, C, Swerdlow, DI, Palmer, T, McLachlan, S, Langenberg, C, Zabaneh, D, Lovering, R, Cavadino, A, Jefferis, B, Finan, C, Wong, A, Amuzu, A, Ong, K, Gaunt, TR, Warren, H, Davies, TL, Drenos, F, Cooper, J, Ebrahim, S, Lawlor, DA, Talmud, PJ, Humphries, SE, Power, C, Hypponen, E, Richards, M, Hardy, R, Kuh, D, Wareham, N, Ben-Shlomo, Y, Day, IN, Whincup, P, Morris, R, Strachan, MW, Price, J, Kumari, M, Kivimaki, M, Plagnol, V, Whittaker, JC, International Consortium for Blood Pressure (ICBP), Smith, GD, Dudbridge, F, Casas, JP, Holmes, MV, Hingorani, AD, and UCLEB (University College London-London School of Hygiene & Trop

Abstract

BACKGROUND: Increased circulating plasma urate concentration is associated with an increased risk of coronary heart disease, but the extent of any causative effect of urate on risk of coronary heart disease is still unclear. In this study, we aimed to clarify any causal role of urate on coronary heart disease risk using Mendelian randomisation analysis. METHODS: We first did a fixed-effects meta-analysis of the observational association of plasma urate and risk of coronary heart disease. We then used a conventional Mendelian randomisation approach to investigate the causal relevance using a genetic instrument based on 31 urate-associated single nucleotide polymorphisms (SNPs). To account for potential pleiotropic associations of certain SNPs with risk factors other than urate, we additionally did both a multivariable Mendelian randomisation analysis, in which the genetic associations of SNPs with systolic and diastolic blood pressure, HDL cholesterol, and triglycerides were included as covariates, and an Egger Mendelian randomisation (MR-Egger) analysis to estimate a causal effect accounting for unmeasured pleiotropy. FINDINGS: In the meta-analysis of 17 prospective observational studies (166 486 individuals; 9784 coronary heart disease events) a 1 SD higher urate concentration was associated with an odds ratio (OR) for coronary heart disease of 1·07 (95% CI 1·04-1·10). The corresponding OR estimates from the conventional, multivariable adjusted, and Egger Mendelian randomisation analysis (58 studies; 198 598 individuals; 65 877 events) were 1·18 (95% CI 1·08-1·29), 1·10 (1·00-1·22), and 1·05 (0·92-1·20), respectively, per 1 SD increment in plasma urate. INTERPRETATION: Conventional and multivariate Mendelian randomisation analysis implicates a causal role for urate in the development of coronary heart disease, but these estimates might be inflated by hidden pleiotropy. Egger Mendelian randomisation analysis, which accounts for pleiotropy but has less statistical power, suggests there might be no causal effect. These results might help investigators to determine the priority of trials of urate lowering for the prevention of coronary heart disease compared with other potential interventions. FUNDING: UK National Institute for Health Research, British Heart Foundation, and UK Medical Research Council.

Published
2016

31. Gene Nomenclature: An Essential Resource

Author

Wain, H.M., Bruford, E.A., Lovering, R., and Povey, M.S.

Subjects
Genetic research -- Analysis, Human genetics -- Research, Biological sciences
Published
2000

32. 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
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44. Encompassing new use cases - level 3.0 of the HUPO-PSI format for molecular interactions

Author

Sivade (Dumousseau), M., Alonso-López, D., Ammari, M., Bradley, G., Campbell, N. H, Ceol, A., Cesareni, G., Combe, C., De Las Rivas, J., Del-Toro, N., Heimbach, J., Hermjakob, H., Jurisica, I., Koch, M., Licata, L., Lovering, R. C, Lynn, D. J, Meldal, B. H M, Micklem, G., Panni, S., Porras, P., Ricard-Blum, S., Roechert, B., Salwinski, L., Shrivastava, A., Sullivan, J., Thierry-Mieg, N., Yehudi, Y., Van Roey, K., and Orchard, S.

Subjects
3. Good health
Abstract

Background Systems biologists study interaction data to understand the behaviour of whole cell systems, and their environment, at a molecular level. In order to effectively achieve this goal, it is critical that researchers have high quality interaction datasets available to them, in a standard data format, and also a suite of tools with which to analyse such data and form experimentally testable hypotheses from them. The PSI-MI XML standard interchange format was initially published in 2004, and expanded in 2007 to enable the download and interchange of molecular interaction data. PSI-XML2.5 was designed to describe experimental data and to date has fulfilled this basic requirement. However, new use cases have arisen that the format cannot properly accommodate. These include data abstracted from more than one publication such as allosteric/cooperative interactions and protein complexes, dynamic interactions and the need to link kinetic and affinity data to specific mutational changes. Results The Molecular Interaction workgroup of the HUPO-PSI has extended the existing, well-used XML interchange format for molecular interaction data to meet new use cases and enable the capture of new data types, following extensive community consultation. PSI-MI XML3.0 expands the capabilities of the format beyond simple experimental data, with a concomitant update of the tool suite which serves this format. The format has been implemented by key data producers such as the International Molecular Exchange (IMEx) Consortium of protein interaction databases and the Complex Portal. Conclusions PSI-MI XML3.0 has been developed by the data producers, data users, tool developers and database providers who constitute the PSI-MI workgroup. This group now actively supports PSI-MI XML2.5 as the main interchange format for experimental data, PSI-MI XML3.0 which additionally handles more complex data types, and the simpler, tab-delimited MITAB2.5, 2.6 and 2.7 for rapid parsing and download.

46. Novel Insights Into the Effects of Interleukin 6 Antagonism in Non-ST-Segment-Elevation Myocardial Infarction Employing the SOMAscan Proteomics Platform.

Author

George MJ, Kleveland O, Garcia-Hernandez J, Palmen J, Lovering R, Wiseth R, Aukrust P, Engmann J, Damås JK, Hingorani AD, Gullestad L, Casas JP, and Ueland T

Subjects
Acute-Phase Proteins, Aged, Aptamers, Nucleotide, Carrier Proteins blood, Chemokines, CC blood, Female, Follow-Up Studies, Hepcidins blood, High-Throughput Screening Assays, Humans, Insulin-Like Growth Factor Binding Protein 4 blood, Male, Membrane Glycoproteins blood, Middle Aged, Myeloblastin blood, Non-ST Elevated Myocardial Infarction blood, Non-ST Elevated Myocardial Infarction diagnosis, Norway, Randomized Controlled Trials as Topic, Time Factors, Treatment Outcome, Antibodies, Monoclonal, Humanized therapeutic use, Blood Proteins metabolism, Non-ST Elevated Myocardial Infarction drug therapy, Proteome, Proteomics, Receptors, Interleukin-6 antagonists & inhibitors
Abstract

Background Interleukin 6 concentration is associated with myocardial injury, heart failure, and mortality after myocardial infarction. In the Norwegian tocilizumab non-ST-segment-elevation myocardial infarction trial, the first randomized trial of interleukin 6 blockade in myocardial infarction, concentration of both C-reactive protein and troponin T were reduced in the active treatment arm. In this follow-up study, an aptamer-based proteomic approach was employed to discover additional plasma proteins modulated by tocilizumab treatment to gain novel insights into the effects of this therapeutic approach. Methods and Results Plasma from percutaneous coronary intervention-treated patients, 24 in the active intervention and 24 in the placebo-control arm, drawn 48 hours postrandomization were randomly selected for analysis with the SOMAscan assay. Employing slow off-rate aptamers, the relative abundance of 1074 circulating proteins was measured. Proteins identified as being significantly different between groups were subsequently measured by enzyme immunoassay in the whole trial cohort (117 patients) at all time points (days 1-3 [7 time points] and 3 and 6 months). Five proteins identified by the SOMAscan assay, and subsequently confirmed by enzyme immunoassay, were significantly altered by tocilizumab administration. The acute-phase proteins lipopolysaccharide-binding protein, hepcidin, and insulin-like growth factor-binding protein 4 were all reduced during the hospitalization phase, as was the monocyte chemoattractant C-C motif chemokine ligand 23. Proteinase 3, released primarily from neutrophils, was significantly elevated. Conclusions Employing the SOMAscan aptamer-based proteomics platform, 5 proteins were newly identified that are modulated by interleukin 6 antagonism and may mediate the therapeutic effects of tocilizumab in non-ST-segment-elevation myocardial infarction.

Published
2020
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47. A moral argument for frozen human embryo adoption.

Author

Lovering R

Subjects
Christianity, Cryopreservation ethics, Ethicists, Humans, Principle-Based Ethics, Adoption, Embryo Disposition ethics, Embryo Transfer ethics, Moral Obligations
Abstract

Some people (e.g., Drs. Paul and Susan Lim) and, with them, organizations (e.g., the National Embryo Donation Center) believe that, morally speaking, the death of a frozen human embryo is a very bad thing. With such people and organizations in mind, the question to be addressed here is as follows: if one believes that the death of a frozen embryo is a very bad thing, ought, morally speaking, one prevent the death of at least one frozen embryo via embryo adoption? By way of a three-premise argument, one of which is a moral principle first introduced by Peter Singer, my answer to this question is: at least some of those who believe this ought to. (Just who the "some" are is identified in the paper.) If this is correct, then, for said people, preventing the death of a frozen embryo via embryo adoption is not a morally neutral matter; it is, instead, a morally laden one. Specifically, their intentional refusal to prevent the death of a frozen embryo via embryo adoption is, at a minimum, morally criticizable and, arguably, morally forbidden. Either way, it is, to one extent or another, a moral failing., (© 2019 John Wiley & Sons Ltd.)

Published
2020
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48. The Substance View: A Critique (Part 3).

Author

Lovering R

Subjects
Human Rights, Humans, Abortion, Induced ethics, Fetus, Morals, Personhood, Value of Life
Abstract

In my articles 'The Substance View: A Critique' and 'The Substance View: A Critique (Part 2),' I raise objections to the substance view (naturally), a theory of intrinsic value and moral standing defended by a number of contemporary moral philosophers, including Robert P. George, Patrick Lee, Christopher Tollefsen, and Francis Beckwith. In part one of my critique of the substance view, I raise reductio-style objections to the substance view's conclusion that the standard human fetus has the same intrinsic value and moral standing as the standard adult human being, among other human beings. In part two, I raise objections to some of the premises invoked in support of that conclusion. Here, in part three, I raise objections to Henrik Friberg-Fernros's attempt to rebut some of the aforementioned objections., (© 2016 John Wiley & Sons Ltd.)

Published
2017
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49. Plasma urate concentration and risk of coronary heart disease: a Mendelian randomisation analysis.

Author

White J, Sofat R, Hemani G, Shah T, Engmann J, Dale C, Shah S, Kruger FA, Giambartolomei C, Swerdlow DI, Palmer T, McLachlan S, Langenberg C, Zabaneh D, Lovering R, Cavadino A, Jefferis B, Finan C, Wong A, Amuzu A, Ong K, Gaunt TR, Warren H, Davies TL, Drenos F, Cooper J, Ebrahim S, Lawlor DA, Talmud PJ, Humphries SE, Power C, Hypponen E, Richards M, Hardy R, Kuh D, Wareham N, Ben-Shlomo Y, Day IN, Whincup P, Morris R, Strachan MW, Price J, Kumari M, Kivimaki M, Plagnol V, Whittaker JC, Smith GD, Dudbridge F, Casas JP, Holmes MV, and Hingorani AD

Subjects
Humans, Meta-Analysis as Topic, Observational Studies as Topic, Risk Factors, Coronary Disease blood, Coronary Disease etiology, Mendelian Randomization Analysis methods, Uric Acid adverse effects, Uric Acid blood
Abstract

Background: Increased circulating plasma urate concentration is associated with an increased risk of coronary heart disease, but the extent of any causative effect of urate on risk of coronary heart disease is still unclear. In this study, we aimed to clarify any causal role of urate on coronary heart disease risk using Mendelian randomisation analysis., Methods: We first did a fixed-effects meta-analysis of the observational association of plasma urate and risk of coronary heart disease. We then used a conventional Mendelian randomisation approach to investigate the causal relevance using a genetic instrument based on 31 urate-associated single nucleotide polymorphisms (SNPs). To account for potential pleiotropic associations of certain SNPs with risk factors other than urate, we additionally did both a multivariable Mendelian randomisation analysis, in which the genetic associations of SNPs with systolic and diastolic blood pressure, HDL cholesterol, and triglycerides were included as covariates, and an Egger Mendelian randomisation (MR-Egger) analysis to estimate a causal effect accounting for unmeasured pleiotropy., Findings: In the meta-analysis of 17 prospective observational studies (166 486 individuals; 9784 coronary heart disease events) a 1 SD higher urate concentration was associated with an odds ratio (OR) for coronary heart disease of 1·07 (95% CI 1·04-1·10). The corresponding OR estimates from the conventional, multivariable adjusted, and Egger Mendelian randomisation analysis (58 studies; 198 598 individuals; 65 877 events) were 1·18 (95% CI 1·08-1·29), 1·10 (1·00-1·22), and 1·05 (0·92-1·20), respectively, per 1 SD increment in plasma urate., Interpretation: Conventional and multivariate Mendelian randomisation analysis implicates a causal role for urate in the development of coronary heart disease, but these estimates might be inflated by hidden pleiotropy. Egger Mendelian randomisation analysis, which accounts for pleiotropy but has less statistical power, suggests there might be no causal effect. These results might help investigators to determine the priority of trials of urate lowering for the prevention of coronary heart disease compared with other potential interventions., Funding: UK National Institute for Health Research, British Heart Foundation, and UK Medical Research Council., (Copyright © 2016 White et al. Open Access article distributed under the terms of CC BY. Published by Elsevier Ltd.. All rights reserved.)

Published
2016
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50. Upregulation of gingival tissue miR-200b in obese periodontitis subjects.

Author

Kalea AZ, Hoteit R, Suvan J, Lovering RC, Palmen J, Cooper JA, Khodiyar VK, Harrington Z, Humphries SE, and D'Aiuto F

Subjects
Adult, Body Weight, Cell Differentiation genetics, Cell Movement genetics, DNA-Binding Proteins genetics, Female, GATA2 Transcription Factor analysis, Gene Expression Profiling, Homeodomain Proteins analysis, Humans, Male, Neovascularization, Physiologic genetics, Repressor Proteins analysis, Reverse Transcriptase Polymerase Chain Reaction methods, Transcription Factors analysis, Up-Regulation, Vascular Endothelial Growth Factor Receptor-2 analysis, Zinc Finger E-box Binding Homeobox 2, Zinc Finger E-box-Binding Homeobox 1, Zinc Fingers genetics, Gingiva metabolism, MicroRNAs analysis, Obesity genetics, Periodontitis genetics
Abstract

Increased local immune and inflammatory responses in obese individuals with periodontitis may explain the aggressive clinical presentation and altered treatment response when compared to that of normal weight subjects. Our goal was to identify any differences in microRNA (miRNA) expression profiles of gingival tissue in periodontitis when obesity is present, which may suggest novel molecular pathways that this miRNA network may affect. Total RNA was extracted from gingival tissue biopsies collected from normal weight and obese individuals with periodontitis; miRNA expression profiling was performed with Affymetrix GeneChip miRNA 3.0 arrays; and results were validated with quantitative reverse transcription polymerase chain reaction (qRT-PCR). In silico identification of previously confirmed miRNA gene targets was conducted through miRTarBase and miRWalk databases, and pathway enrichment analysis identified enriched miRNA gene sets. Expression of selected genes in the same biopsy samples was tested with qRT-PCR. The gingival tissue miRNA profile of obese patients, compared to that of normal weight patients, showed 13 upregulated and 22 downregulated miRNAs, among which miR-200b was validated by qRT-PCR to be significantly increased in obesity. Functional analysis of 51 experimentally validated miR-200b gene targets identified enrichment of genes involved in cell motility, differentiation, DNA binding, response to stimulus, and vasculature development pathways not previously identified in the obesity-specific disease profile. Furthermore, the expression of the miR-200b gene targets ZEB1/2, GATA2, and KDR was confirmed by qRT-PCR as being lower in obese patients with periodontitis versus normal weight patients, suggesting a role of miR-200b in regulation of a set of gene targets and biological pathways relevant to wound healing and angiogenesis. Functional studies to explore the role of miR-200b in the above processes may offer new insights on putative therapeutic targets for this group of patients., (© International & American Associations for Dental Research.)

Published
2015
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