11 results on '"Fowdar J"'
Search Results
2. Moving beyond neurons: the role of cell type-specific gene regulation in Parkinson's disease heritability
- Author
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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
3. Moving beyond neurons : the role of cell type-specific gene regulation in Parkinson's disease heritability
- Author
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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
4. Moving beyond neurons:the role of cell type-specific gene regulation in Parkinson’s disease heritability
- Author
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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
5. A fuzzy numeric inference strategy for classification and regression problems
- Author
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Crockett, K., primary, Bandar, Z., additional, O'Shea, J., additional, and Fowdar, J., additional
- Published
- 2008
- Full Text
- View/download PDF
6. On the Use of Fuzzy Trees for Solving Classification Problems with Numeric Outcomes
- Author
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Fowdar, J., primary
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7. On the Use of Fuzzy Trees for Solving Classification Problems with Numeric Outcomes.
- Author
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Fowdar, J., Crockett, K., Bandar, Z., and O'Shea, J.
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- 2005
- Full Text
- View/download PDF
8. Analysis of DNA methylation associates the cystine-glutamate antiporter SLC7A11 with risk of Parkinson's disease.
- Author
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Vallerga CL, Zhang F, Fowdar J, McRae AF, Qi T, Nabais MF, Zhang Q, Kassam I, Henders AK, Wallace L, Montgomery G, Chuang YH, Horvath S, Ritz B, Halliday G, Hickie I, Kwok JB, Pearson J, Pitcher T, Kennedy M, Bentley SR, Silburn PA, Yang J, Wray NR, Lewis SJG, Anderson T, Dalrymple-Alford J, Mellick GD, Visscher PM, and Gratten J
- Subjects
- Adult, Aged, Aged, 80 and over, Amino Acid Transport System y+ genetics, Australia, Case-Control Studies, CpG Islands genetics, Down-Regulation, Epigenomics methods, Female, Glutathione metabolism, Healthy Volunteers, Humans, Male, Mendelian Randomization Analysis, Middle Aged, New Zealand, Parkinson Disease blood, Parkinson Disease pathology, Amino Acid Transport System y+ metabolism, Chromosomes, Human, Pair 4 genetics, DNA Methylation, Parkinson Disease genetics
- Abstract
An improved understanding of etiological mechanisms in Parkinson's disease (PD) is urgently needed because the number of affected individuals is projected to increase rapidly as populations age. We present results from a blood-based methylome-wide association study of PD involving meta-analysis of 229 K CpG probes in 1,132 cases and 999 controls from two independent cohorts. We identify two previously unreported epigenome-wide significant associations with PD, including cg06690548 on chromosome 4. We demonstrate that cg06690548 hypermethylation in PD is associated with down-regulation of the SLC7A11 gene and show this is consistent with an environmental exposure, as opposed to medications or genetic factors with effects on DNA methylation or gene expression. These findings are notable because SLC7A11 codes for a cysteine-glutamate anti-porter regulating levels of the antioxidant glutathione, and it is a known target of the environmental neurotoxin β-methylamino-L-alanine (BMAA). Our study identifies the SLC7A11 gene as a plausible biological target in PD.
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- 2020
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9. Association of Schizophrenia Risk With Disordered Niacin Metabolism in an Indian Genome-wide Association Study.
- Author
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Periyasamy S, John S, Padmavati R, Rajendren P, Thirunavukkarasu P, Gratten J, Vinkhuyzen A, McRae A, Holliday EG, Nyholt DR, Nancarrow D, Bakshi A, Hemani G, Nertney D, Smith H, Filippich C, Patel K, Fowdar J, McLean D, Tirupati S, Nagasundaram A, Gundugurti PR, Selvaraj K, Jegadeesan J, Jorde LB, Wray NR, Brown MA, Suetani R, Giacomotto J, Thara R, and Mowry BJ
- Subjects
- Adult, Animals, Case-Control Studies, Cell Line, Tumor, Disease Models, Animal, Family, Female, Genetic Techniques, Humans, India, Male, Middle Aged, Polymorphism, Single Nucleotide, Zebrafish, Chromosomes, Human, Pair 8 genetics, Genetic Predisposition to Disease genetics, Genome-Wide Association Study, Niacin metabolism, Pentosyltransferases genetics, Schizophrenia genetics
- Abstract
Importance: Genome-wide association studies (GWASs) in European populations have identified more than 100 schizophrenia-associated loci. A schizophrenia GWAS in a unique Indian population offers novel findings., Objective: To discover and functionally evaluate genetic loci for schizophrenia in a GWAS of a unique Indian population., Design, Setting, and Participants: This GWAS included a sample of affected individuals, family members, and unrelated cases and controls. Three thousand ninety-two individuals were recruited and diagnostically ascertained via medical records, hospitals, clinics, and clinical networks in Chennai and surrounding regions. Affected participants fulfilled DSM-IV diagnostic criteria for schizophrenia. Unrelated control participants had no personal or family history of psychotic disorder. Recruitment, genotyping, and analysis occurred in consecutive phases beginning January 1, 2001. Recruitment was completed on February 28, 2018, and genotyping and analysis are ongoing., Main Outcomes and Measures: Associations of single-nucleotide polymorphisms and gene expression with schizophrenia., Results: The study population included 1321 participants with schizophrenia, 885 family controls, and 886 unrelated controls. Among participants with schizophrenia, mean (SD) age was 39.1 (11.4) years, and 52.7% were male. This sample demonstrated uniform ethnicity, a degree of inbreeding, and negligible rates of substance abuse. A novel genome-wide significant association was observed between schizophrenia and a chromosome 8q24.3 locus (rs10866912, allele A; odds ratio [OR], 1.27 [95% CI, 1.17-1.38]; P = 4.35 × 10-8) that attracted support in the schizophrenia Psychiatric Genomics Consortium 2 data (rs10866912, allele A; OR, 1.04 [95% CI, 1.02-1.06]; P = 7.56 × 10-4). This locus has undergone natural selection, with the risk allele A declining in frequency from India (approximately 72%) to Europe (approximately 43%). rs10866912 directly modifies the abundance of the nicotinate phosphoribosyltransferase gene (NAPRT1) transcript in brain cortex (normalized effect size, 0.79; 95% CI, 0.6-1.0; P = 5.8 × 10-13). NAPRT1 encodes a key enzyme for niacin metabolism. In Indian lymphoblastoid cell lines, (risk) allele A of rs10866912 was associated with NAPRT1 downregulation (AA: 0.74, n = 21; CC: 1.56, n = 17; P = .004). Preliminary zebrafish data further suggest that partial loss of function of NAPRT1 leads to abnormal brain development., Conclusions and Relevance: Bioinformatic analyses and cellular and zebrafish gene expression studies implicate NAPRT1 as a novel susceptibility gene. Given this gene's role in niacin metabolism and the evidence for niacin deficiency provoking schizophrenialike symptoms in neuropsychiatric diseases such as pellagra and Hartnup disease, these results suggest that the rs10866912 genotype and niacin status may have implications for schizophrenia susceptibility and treatment.
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- 2019
- Full Text
- View/download PDF
10. Improved precision of epigenetic clock estimates across tissues and its implication for biological ageing.
- Author
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Zhang Q, Vallerga CL, Walker RM, Lin T, Henders AK, Montgomery GW, He J, Fan D, Fowdar J, Kennedy M, Pitcher T, Pearson J, Halliday G, Kwok JB, Hickie I, Lewis S, Anderson T, Silburn PA, Mellick GD, Harris SE, Redmond P, Murray AD, Porteous DJ, Haley CS, Evans KL, McIntosh AM, Yang J, Gratten J, Marioni RE, Wray NR, Deary IJ, McRae AF, and Visscher PM
- Subjects
- Epigenomics methods, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Organ Specificity genetics, Proportional Hazards Models, Reproducibility of Results, Saliva, Aging genetics, DNA Methylation, Epigenesis, Genetic
- Abstract
Background: DNA methylation changes with age. Chronological age predictors built from DNA methylation are termed 'epigenetic clocks'. The deviation of predicted age from the actual age ('age acceleration residual', AAR) has been reported to be associated with death. However, it is currently unclear how a better prediction of chronological age affects such association., Methods: In this study, we build multiple predictors based on training DNA methylation samples selected from 13,661 samples (13,402 from blood and 259 from saliva). We use the Lothian Birth Cohorts of 1921 (LBC1921) and 1936 (LBC1936) to examine whether the association between AAR (from these predictors) and death is affected by (1) improving prediction accuracy of an age predictor as its training sample size increases (from 335 to 12,710) and (2) additionally correcting for confounders (i.e., cellular compositions). In addition, we investigated the performance of our predictor in non-blood tissues., Results: We found that in principle, a near-perfect age predictor could be developed when the training sample size is sufficiently large. The association between AAR and mortality attenuates as prediction accuracy increases. AAR from our best predictor (based on Elastic Net, https://github.com/qzhang314/DNAm-based-age-predictor ) exhibits no association with mortality in both LBC1921 (hazard ratio = 1.08, 95% CI 0.91-1.27) and LBC1936 (hazard ratio = 1.00, 95% CI 0.79-1.28). Predictors based on small sample size are prone to confounding by cellular compositions relative to those from large sample size. We observed comparable performance of our predictor in non-blood tissues with a multi-tissue-based predictor., Conclusions: This study indicates that the epigenetic clock can be improved by increasing the training sample size and that its association with mortality attenuates with increased prediction of chronological age.
- Published
- 2019
- Full Text
- View/download PDF
11. Investigation of the role of the GABRG2 gene variant in migraine.
- Author
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Chen T, Murrell M, Fowdar J, Roy B, Grealy R, and Griffiths LR
- Subjects
- Case-Control Studies, Female, Humans, Male, Genetic Variation genetics, Migraine with Aura genetics, Migraine without Aura genetics, Receptors, GABA-A genetics
- Abstract
Migraine is the most common neurological disorder worldwide affecting about 12% of the worldwide population. This disorder has been classed into two main types of migraine-with and without aura. While a number of factors can influence the onset of migraine, a major factor is that of genetics. The GABAA gene encodes for the GABAA receptor. Along with other receptors, the GABAA receptor is involved in the mediation of neuronal activities. In this study, a GABRG2 gene (GABAA receptor gamma-2-subunit) SNP (rs211037) was genotyped on a migraine case-control population of 546 (273 affected and an equal number of healthy) individuals. Using specifically designed primers, a high resolution melt (HRM) assay was carried out in the genotyping process. After genotyping, results were compared in the case and control populations. Analysis of results showed no significant differences in the allele frequencies between case and control populations. Similarly no differences were detected for subtypes or for a specific gender of migraine (p>0.05). Although this gene has been previously found to be involved in febrile seizures and there is some co-morbidity between epilepsy and migraine, we decided to investigate this marker for involvement in migraine. The results did not support a role for the tested GABRG2 variant in migraine., (Copyright © 2012 Elsevier B.V. All rights reserved.)
- Published
- 2012
- Full Text
- View/download PDF
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