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2. Embracing Monogenic Parkinson's Disease: The MJFF Global Genetic PD Cohort

Author

Vollstedt, E.J., Schaake, S., Lohmann, K., Padmanabhan, S., Brice, A., Lesage, S., Tesson, C., Vidailhet, M., Wurster, I., Hentati, F., Mirelman, A., Giladi, N., Marder, K., Waters, C., Fahn, S., Kasten, M., Brüggemann, N., Borsche, M., Foroud, T., Tolosa, E., Garrido, A., Annesi, G., Gagliardi, M., Bozi, M., Stefanis, L., Ferreira, J.J., Guedes, L. Correia, Avenali, M., Petrucci, S., Clark, L., Fedotova, E.Y., Abramycheva, N.Y., Alvarez, V., Menéndez-González, M., Maestre, S. Jesús, Gómez-Garre, P., Mir, P., Belin, A.C., Ran, C., Lin, Chih-Yu, Kuo, M.C., Crosiers, D., Wszolek, Z.K., Ross, O.A., Jankovic, J., Nishioka, K., Funayama, M., Clarimon, J., Williams-Gray, C.H., Camacho, M., Cornejo-Olivas, M., Torres-Ramirez, L., Wu, Y.R., Lee-Chen, G.J., Morgadinho, A., Pulkes, T., Termsarasab, P., Berg, D., Kuhlenbäumer, G., Kühn, A.A., Borngräber, F., Michele, G. de, Rosa, A. De, Zimprich, A., Puschmann, A., Mellick, G.D., Dorszewska, J., Carr, J., Ferese, R., Gambardella, S., Chase, B., Markopoulou, K., Satake, W., Toda, T., Rossi, M., Merello, M., Lynch, T., Olszewska, D.A., Lim, S.Y., Ahmad-Annuar, A., Tan, A.H., Al-Mubarak, B., Hanagasi, H., Koziorowski, D., Ertan, S., Genç, G., Aguiar, P. de Carvalho, Barkhuizen, M., Pimentel, M.M.G., Saunders-Pullman, R., Warrenburg, B.P.C. van de, Bressman, S., Toft, M., Appel-Cresswell, S., Lang, A.E., Skorvanek, M., Boon, A.J., Krüger, R., Sammler, E.M., Tumas, V., et al., Vollstedt, E.J., Schaake, S., Lohmann, K., Padmanabhan, S., Brice, A., Lesage, S., Tesson, C., Vidailhet, M., Wurster, I., Hentati, F., Mirelman, A., Giladi, N., Marder, K., Waters, C., Fahn, S., Kasten, M., Brüggemann, N., Borsche, M., Foroud, T., Tolosa, E., Garrido, A., Annesi, G., Gagliardi, M., Bozi, M., Stefanis, L., Ferreira, J.J., Guedes, L. Correia, Avenali, M., Petrucci, S., Clark, L., Fedotova, E.Y., Abramycheva, N.Y., Alvarez, V., Menéndez-González, M., Maestre, S. Jesús, Gómez-Garre, P., Mir, P., Belin, A.C., Ran, C., Lin, Chih-Yu, Kuo, M.C., Crosiers, D., Wszolek, Z.K., Ross, O.A., Jankovic, J., Nishioka, K., Funayama, M., Clarimon, J., Williams-Gray, C.H., Camacho, M., Cornejo-Olivas, M., Torres-Ramirez, L., Wu, Y.R., Lee-Chen, G.J., Morgadinho, A., Pulkes, T., Termsarasab, P., Berg, D., Kuhlenbäumer, G., Kühn, A.A., Borngräber, F., Michele, G. de, Rosa, A. De, Zimprich, A., Puschmann, A., Mellick, G.D., Dorszewska, J., Carr, J., Ferese, R., Gambardella, S., Chase, B., Markopoulou, K., Satake, W., Toda, T., Rossi, M., Merello, M., Lynch, T., Olszewska, D.A., Lim, S.Y., Ahmad-Annuar, A., Tan, A.H., Al-Mubarak, B., Hanagasi, H., Koziorowski, D., Ertan, S., Genç, G., Aguiar, P. de Carvalho, Barkhuizen, M., Pimentel, M.M.G., Saunders-Pullman, R., Warrenburg, B.P.C. van de, Bressman, S., Toft, M., Appel-Cresswell, S., Lang, A.E., Skorvanek, M., Boon, A.J., Krüger, R., Sammler, E.M., and Tumas, V., et al.

Abstract

Item does not contain fulltext, BACKGROUND: As gene-targeted therapies are increasingly being developed for Parkinson's disease (PD), identifying and characterizing carriers of specific genetic pathogenic variants is imperative. Only a small fraction of the estimated number of subjects with monogenic PD worldwide are currently represented in the literature and availability of clinical data and clinical trial-ready cohorts is limited. OBJECTIVE: The objectives are to (1) establish an international cohort of affected and unaffected individuals with PD-linked variants; (2) provide harmonized and quality-controlled clinical characterization data for each included individual; and (3) further promote collaboration of researchers in the field of monogenic PD. METHODS: We conducted a worldwide, systematic online survey to collect individual-level data on individuals with PD-linked variants in SNCA, LRRK2, VPS35, PRKN, PINK1, DJ-1, as well as selected pathogenic and risk variants in GBA and corresponding demographic, clinical, and genetic data. All registered cases underwent thorough quality checks, and pathogenicity scoring of the variants and genotype-phenotype relationships were analyzed. RESULTS: We collected 3888 variant carriers for our analyses, reported by 92 centers (42 countries) worldwide. Of the included individuals, 3185 had a diagnosis of PD (ie, 1306 LRRK2, 115 SNCA, 23 VPS35, 429 PRKN, 75 PINK1, 13 DJ-1, and 1224 GBA) and 703 were unaffected (ie, 328 LRRK2, 32 SNCA, 3 VPS35, 1 PRKN, 1 PINK1, and 338 GBA). In total, we identified 269 different pathogenic variants; 1322 individuals in our cohort (34%) were indicated as not previously published. CONCLUSIONS: Within the MJFF Global Genetic PD Study Group, we (1) established the largest international cohort of affected and unaffected individuals carrying PD-linked variants; (2) provide harmonized and quality-controlled clinical and genetic data for each included individual; (3) promote collaboration in the field of genetic PD with a view toward

Published
2023

3. Embracing monogenic Parkinson's disease: the MJFF Global Genetic PD cohort

Author

Ertan, Fatoş Sibel (ORCID 0000-0003-1339-243X & YÖK ID 112829), Vollstedt, E.J.; Schaake, S.; Lohmann, K.; Padmanabhan, S.; Brice, A.; Lesage, S.; Tesson, C.; Vidailhet, M.; Wurster, I.; Hentati, F.; Mirelman, A.; Giladi, N.; Marder, K.; Waters, C.; Fahn, S.; Kasten, M.; Brüggemann, N.; Borsche, M.; Foroud, T.; Tolosa, E.; Garrido, A.; Annesi, G.; Gagliardi, M.; Bozi, M.; Stefanis, L.; Ferreira, J.J.; Guedes, L.C.; Avenali, M.; Petrucci, S.; Clark, L.; Fedotova, E.Y.; Abramycheva, N.Y.; Alvarez, V.; Menéndez-González, M.; Maestre, SJ.; Gómez-Garre, P.; Mir, P.; Belin, A.C.; Ran, C.; Lin, C.H.; Kuo, M.C.; Crosiers, D.; Wszolek, Z.K.; Ross, O.A.; Jankovic, J.; Nishioka, K.; Funayama, M.; Clarimon, J.; Williams-Gray, C.H.; Camacho, M.; Cornejo-Olivas, M.; Torres-Ramirez, L.; Wu, YR.; Lee-Chen, G.J.; Morgadinho, A.; Pulkes, T.; Termsarasab, P.; Berg, D.; Kuhlenbäumer, G.; Kühn, A.A.; Borngräber, F.; de Michele, G.; De Rosa, A.; Zimprich, A.; Puschmann, A.; Mellick, GD.; Dorszewska, J.; Carr, J.; Ferese, R.; Gambardella, S.; Chase, B.; Markopoulou, K.; Satake, W.; Toda, T.; Rossi, M.; Merello, M.; Lynch, T.; Olszewska, D.A.; Lim, S.Y.; Ahmad-Annuar, A.; Tan, A.H.; Al-Mubarak, B.; Hanagasi, H.; Koziorowski, D.; Genç, G.; Aguiar, P.D.; Barkhuizen, M.; Pimentel, M.M.G.; Saunders-Pullman, R.; van de Warrenburg, B.; Bressman, S.; Toft, M.; Appel-Cresswell, S.; Lang, A.E.; Skorvanek, M.; Boon, A.J.W.; Krüger, R.; Sammler, E.M.; Tumas, V.; Zhang, B.R.; Garraux, G.; Chung, SJ.; Kim, Y.J.; Winkelmann, J.; Sue, C.M.; Tan, E.K.; Damásio, J.; Klivényi, P.; Kostic, V.S.; Arkadir, D.; Martikainen, M.; Borges, V.; Hertz, J.M.; Brighina, L.; Spitz, M.; Suchowersky, O.; Riess, O.; Das, P.; Mollenhauer, B.; Gatto, E.M.; Petersen, M.S.; Hattori, N.; Wu, R.M.; Illarioshkin, S.N.; Valente, E.M.; Aasly, J.O.; Aasly, A.; Alcalay, R.N.; Thaler, A.; Farrer, M.J.; Brockmann, K.; Corvol, J.C.; Klein, C., School of Medicine, Ertan, Fatoş Sibel (ORCID 0000-0003-1339-243X & YÖK ID 112829), Vollstedt, E.J.; Schaake, S.; Lohmann, K.; Padmanabhan, S.; Brice, A.; Lesage, S.; Tesson, C.; Vidailhet, M.; Wurster, I.; Hentati, F.; Mirelman, A.; Giladi, N.; Marder, K.; Waters, C.; Fahn, S.; Kasten, M.; Brüggemann, N.; Borsche, M.; Foroud, T.; Tolosa, E.; Garrido, A.; Annesi, G.; Gagliardi, M.; Bozi, M.; Stefanis, L.; Ferreira, J.J.; Guedes, L.C.; Avenali, M.; Petrucci, S.; Clark, L.; Fedotova, E.Y.; Abramycheva, N.Y.; Alvarez, V.; Menéndez-González, M.; Maestre, SJ.; Gómez-Garre, P.; Mir, P.; Belin, A.C.; Ran, C.; Lin, C.H.; Kuo, M.C.; Crosiers, D.; Wszolek, Z.K.; Ross, O.A.; Jankovic, J.; Nishioka, K.; Funayama, M.; Clarimon, J.; Williams-Gray, C.H.; Camacho, M.; Cornejo-Olivas, M.; Torres-Ramirez, L.; Wu, YR.; Lee-Chen, G.J.; Morgadinho, A.; Pulkes, T.; Termsarasab, P.; Berg, D.; Kuhlenbäumer, G.; Kühn, A.A.; Borngräber, F.; de Michele, G.; De Rosa, A.; Zimprich, A.; Puschmann, A.; Mellick, GD.; Dorszewska, J.; Carr, J.; Ferese, R.; Gambardella, S.; Chase, B.; Markopoulou, K.; Satake, W.; Toda, T.; Rossi, M.; Merello, M.; Lynch, T.; Olszewska, D.A.; Lim, S.Y.; Ahmad-Annuar, A.; Tan, A.H.; Al-Mubarak, B.; Hanagasi, H.; Koziorowski, D.; Genç, G.; Aguiar, P.D.; Barkhuizen, M.; Pimentel, M.M.G.; Saunders-Pullman, R.; van de Warrenburg, B.; Bressman, S.; Toft, M.; Appel-Cresswell, S.; Lang, A.E.; Skorvanek, M.; Boon, A.J.W.; Krüger, R.; Sammler, E.M.; Tumas, V.; Zhang, B.R.; Garraux, G.; Chung, SJ.; Kim, Y.J.; Winkelmann, J.; Sue, C.M.; Tan, E.K.; Damásio, J.; Klivényi, P.; Kostic, V.S.; Arkadir, D.; Martikainen, M.; Borges, V.; Hertz, J.M.; Brighina, L.; Spitz, M.; Suchowersky, O.; Riess, O.; Das, P.; Mollenhauer, B.; Gatto, E.M.; Petersen, M.S.; Hattori, N.; Wu, R.M.; Illarioshkin, S.N.; Valente, E.M.; Aasly, J.O.; Aasly, A.; Alcalay, R.N.; Thaler, A.; Farrer, M.J.; Brockmann, K.; Corvol, J.C.; Klein, C., and School of Medicine

Abstract

Background: as gene-targeted therapies are increasingly being developed for Parkinson's disease (PD), identifying and characterizing carriers of specific genetic pathogenic variants is imperative. Only a small fraction of the estimated number of subjects with monogenic PD worldwide are currently represented in the literature and availability of clinical data and clinical trial-ready cohorts is limited. Objective: the objectives are to (1) establish an international cohort of affected and unaffected individuals with PD-linked variants; (2) provide harmonized and quality-controlled clinical characterization data for each included individual; and (3) further promote collaboration of researchers in the field of monogenic PD. Methods: we conducted a worldwide, systematic online survey to collect individual-level data on individuals with PD-linked variants in SNCA, LRRK2, VPS35, PRKN, PINK1, DJ-1, as well as selected pathogenic and risk variants in GBA and corresponding demographic, clinical, and genetic data. All registered cases underwent thorough quality checks, and pathogenicity scoring of the variants and genotype–phenotype relationships were analyzed. Results: we collected 3888 variant carriers for our analyses, reported by 92 centers (42 countries) worldwide. Of the included individuals, 3185 had a diagnosis of PD (ie, 1306 LRRK2, 115 SNCA, 23 VPS35, 429 PRKN, 75 PINK1, 13 DJ-1, and 1224 GBA) and 703 were unaffected (ie, 328 LRRK2, 32 SNCA, 3 VPS35, 1 PRKN, 1 PINK1, and 338 GBA). In total, we identified 269 different pathogenic variants; 1322 individuals in our cohort (34%) were indicated as not previously published. Conclusions: within the MJFF Global Genetic PD Study Group, we (1) established the largest international cohort of affected and unaffected individuals carrying PD-linked variants; (2) provide harmonized and quality-controlled clinical and genetic data for each included individual; (3) promote collaboration in the field of genetic PD with a view toward, Open Access funding enabled and organized by Projekt DEAL. Funding text 1: Carolyn M. Sue: Intellectual Property Rights: WO 2015/157794 A1. Advisory Boards: AbbVie. Employment: Northern Sydney Local Health District, Sydney, Australia. Honoraria: The International Movement Disorder Society for course directorships and invited lectures. Patents: WO 2015/157794 A1. Grants: 2018–22 NHMRC Partnership grant (APP1151906); 2018–22 MRFF NHMRC Practitioner Fellowship (App1136800); 2020–2025 NHMRC Partnership grant (APP11179029); 2020–2023 NHMRC Ideas Grant (APP1184403); 2021–5 MRFF 2020 Genomics Health Futures Mission Grant (APP2007959); 2021–23 ASAP Project grant ; Funding text 2: Natalya Y. Abramycheva: Employment: Research Center of Neurology, Ministry of Science and Higher Education of the Russian Federation, Moscow, Russia. Grants: Russian Science Foundation ; Funding text 3: Rachel Saunders?Pullman: Employment: Icahn School of Medicine at Mount Sinai, New York City, New York, USA. Grants: NIH 1U01NS107016?01A1; Bigglesworth Family Foundation. Others: Bachmann?Strauss Chair ; Funding text 4: Zbigniew K. Wszolek: Advisory Boards: Vigil Neuroscience, Inc. Employment: Mayo Clinic, Jacksonville, Florida, USA. Grants: NIH/NIA and NIH/NINDS (1U19AG063911, FAIN: U19AG063911), Mayo Clinic Center for Regenerative Medicine, PI or co?PI on Biohaven Pharmaceuticals, Inc. (BHV4157?206 and BHV3241?301), Neuraly, Inc. (NLY01?PD?1), and Vigil Neuroscience, Inc. (VGL101?01.001 and VGL101?01.002). He also serves as the co?PI of the Mayo Clinic APDA Center for Advanced Research. Others: Donations from the Donald G. and Jodi P. Heeringa Family, the Haworth Family Professorship in Neurodegenerative Diseases fund, and The Albertson Parkinson's Research Foundation ; Funding text 5: Vladimir S. Kostic: Employment: School of Medicine, University of Belgrade, Serbia. Grants: Project No 175090 Ministry of Education, Science and Technological Development of Serbia. Project ??28 Serbian Academy of S

Published
2023

4. Longitudinal clinical and biomarker characteristics of non-manifesting LRRK2 G2019S carriers in the PPMI cohort

Author

Simuni, T, Merchant, K, Brumm, MC, Cho, H, Caspell-Garcia, C, Coffey, CS, Chahine, LM, Alcalay, RN, Nudelman, K, Foroud, T, Mollenhauer, B, Siderowf, A, Tanner, C, Iwaki, H, Sherer, T, Marek, K, Seibyl, J, Coffey, C, Tosun-Turgut, D, Shaw, LM, Trojanowski, JQ, Singleton, A, Kieburtz, K, Toga, A, Galasko, D, Poewe, W, Poston, K, Bressman, S, Reimer, A, Arnedo, V, Clark, A, Frasier, M, Kopil, C, Chowdhury, S, Casaceli, C, Dorsey, R, Wilson, R, Mahes, S, Salerno, C, Ahrens, M, Brumm, M, Cho, HR, Fedler, J, LaFontant, D-E, Kurth, R, Crawford, K, Casalin, P, Malferrari, G, Weisz, MG, Orr-Urtreger, A, Trojanowski, J, Shaw, L, Montine, T, Baglieri, C, Christini, A, Russell, D, Dahodwala, N, Giladi, N, Factor, S, Hogarth, P, Standaert, D, Hauser, R, Jankovic, J, Saint-Hilaire, M, Richard, I, Shprecher, D, Fernandez, H, Brockmann, K, Rosenthal, L, Barone, P, Espayc, A, Rowe, D, Marder, K, Santiago, A, Hu, S-C, Isaacson, S, Corvol, J-C, Martinez, JR, Tolosa, E, Tai, Y, Politis, M, Smejdir, D, Rees, L, Williams, K, Kausar, F, Richardson, W, Willeke, D, Peacock, S, Sommerfeld, B, Freed, A, Wakeman, K, Blair, C, Guthrie, S, Harrell, L, Hunter, C, Thomas, C-A, James, R, Zimmerman, G, Brown, V, Mule, J, Hilt, E, Ribb, K, Ainscough, S, Wethington, M, Ranola, M, Santana, HM, Moreno, J, Raymond, D, Speketer, K, Carvajal, L, Carvalo, S, Croitoru, I, Garrido, A, Payne, LM, Viswanth, V, Severt, L, Facheris, M, Soares, H, Mintun, MA, Cedarbaum, J, Taylor, P, Biglan, K, Vandenbroucke, E, Sheikh, ZH, Bingol, B, Fischer, T, Sardi, P, Forrat, R, Reith, A, Egebjerg, J, Hillert, GA, Saba, B, Min, C, Umek, R, Mather, J, De Santi, S, Post, A, Boess, F, Taylor, K, Grachev, I, Avbersek, A, Muglia, P, Tauscher, J, and Michael J Fox Foundation

Abstract

We examined 2-year longitudinal change in clinical features and biomarkers in LRRK2 non-manifesting carriers (NMCs) versus healthy controls (HCs) enrolled in the Parkinson’s Progression Markers Initiative (PPMI). We analyzed 2-year longitudinal data from 176 LRRK2 G2019S NMCs and 185 HCs. All participants were assessed annually with comprehensive motor and non-motor scales, dopamine transporter (DAT) imaging, and biofluid biomarkers. The latter included cerebrospinal fluid (CSF) Abeta, total tau and phospho-tau; serum urate and neurofilament light chain (NfL); and urine bis(monoacylglycerol) phosphate (BMP). At baseline, LRRK2 G2019S NMCs had a mean (SD) age of 62 (7.7) years and were 56% female. 13% had DAT deficit (defined as

Published
2022

8. The relation between depression and parkin genotype: The CORE-PD study

Author

Srivastava, A., Tang, M.-X., Mejia-Santana, H., Rosado, L., Louis, E.D., Caccappolo, E., Comella, C., Colcher, A., Siderowf, A., Jennings, D., Nance, M., Bressman, S., Scott, W.K., Tanner, C., Mickel, S., Andrews, H., Waters, C., Fahn, S., Cote, L., Frucht, S., Ford, B., Alcalay, R.N., Ross, B., Orbe Reilly, M., Rezak, M., Novak, K., Friedman, J.H., Pfeiffer, R.D., Marsh, L., Hiner, B., Merle, D., Ottman, R., Clark, L.N., and Marder, K.

Published
2011
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9. Using global team science to identify genetic parkinson's disease worldwide

Author

Vollstedt, E, Kasten, M, Klein, C, Aasly, J, Adler, C, Ahmad-Annuar, A, Albanese, A, Alcalay, R, Al-Mubarak, B, Alvarez, V, Andree-Munoz, B, Annesi, G, Appel-Cresswell, S, Arkadir, D, Armasu, S, Barber, T, Bardien, S, Barkhuizen, M, Barrett, M, Basak, A, Beach, T, Benitez, B, Berg, D, Bhatia, K, Binkofski, F, Blauwendraat, C, Bonifati, V, Borges, V, Bozi, M, Brice, A, Brighina, L, Brockmann, K, Brucke, T, Bruggemann, N, Camacho, M, Cardoso, F, Belin, A, Carr, J, Chan, P, Chang-Castello, J, Chase, B, Chen-Plotkin, A, Ju Chung, S, Cilia, R, Clarimon, J, Clark, L, Cornejo-Olivas, M, Corvol, J, Cosentino, C, Cras, P, Crosiers, D, Damasio, J, Das, P, de Carvalho Aguiar, P, De Michele, G, De Rosa, A, Dieguez, E, Dorszewska, J, Erer, S, Ertan, S, Farrer, M, Fedotova, E, Ferese, R, Ferrarese, C, Ferraz, H, Fiala, O, Foroud, T, Friedman, A, Frigerio, R, Funayama, M, Gambardella, S, Garraux, G, Gatto, E, Genc, G, Giladi, N, Goldwurm, S, Gomez-Esteban, J, Gomez-Garre, P, Gorostidi, A, Grosset, D, Hanagasi, H, Hardy, J, Hassan, A, Hattori, N, Hauser, R, Hedera, P, Hentati, F, Hertz, J, Holton, J, Houlden, H, Hutz, M, Ikeuchi, T, Illarioshkin, S, Inca-Martinez, M, Infante, J, Jankovic, J, Jeon, B, Jesus, S, Jimenez-Del-Rio, M, Kaasinen, V, Kataoka, H, Kawakami, H, Kim, Y, Klivenyi, P, Koks, S, Konig, I, Kostic, V, Koziorowski, D, Kruger, R, Krygowska-Wajs, A, Kulisevsky, J, Lai, D, Lang, A, Ledoux, M, Lesage, S, Lim, S, Lin, C, Lohmann, K, Lopera, F, Lopez, G, Lu, C, Lynch, T, Machaczka, M, Madoev, H, Magalhaes, M, Majamaa, K, Maraganore, D, Marder, K, Markopoulou, K, Martikainen, M, Mata, I, Mazzetti, P, Mellick, G, Menendez-Gonzalez, M, Micheli, F, Mirelman, A, Mir, P, Morino, H, Morris, H, Munhoz, R, Naito, A, Olszewska, D, Ozelius, L, Padmanabhan, S, Paisan-Ruiz, C, Payami, H, Peluso, S, Petkovic, S, Petrucci, S, Pezzoli, G, Pimentel, M, Pirker, W, Pramstaller, P, Pulkes, T, Puschmann, A, Quattrone, A, Raggio, V, Ransmayr, G, Rieder, C, Riess, O, Rodriguez-Porcel, F, Rogaeva, E, Ross, O, Ruiz-Martinez, J, Sammler, E, San Luciano, M, Satake, W, Saunders-Pullman, R, Sazci, A, Scherzer, C, Schrag, A, Schumacher-Schuh, A, Sharma, M, Sidransky, E, Singleton, A, Petersen, M, Smolders, S, Spitz, M, Stefanis, L, Struhal, W, Sue, C, Swan, M, Swanberg, M, Taba, P, Taipa, R, Tan, M, Tan, A, Tan, E, Tang, B, Tayebi, N, Thaler, A, Thomas, A, Toda, T, Toft, M, Torres, L, Tumas, V, Valente, E, Van Broeckhoven, C, Vecsei, L, Velez-Pardo, C, Vidailhet, M, Warner, T, Williams-Gray, C, Winkelmann, J, Woitalla, D, Wood, N, Wszolek, Z, Wu, R, Wu, Y, Xie, T, Yoshino, H, Zhang, B, Zimprich, A, Vollstedt E. -J., Kasten M., Klein C., Aasly J., Adler C., Ahmad-Annuar A., Albanese A., Alcalay R. N., Al-Mubarak B., Alvarez V., Andree-Munoz B., Annesi G., Appel-Cresswell S., Arkadir D., Armasu S., Barber T. R., Bardien S., Barkhuizen M., Barrett M. J., Basak A. N., Beach T., Benitez B. A., Berg D., Bhatia K., Binkofski F., Blauwendraat C., Bonifati V., Borges V., Bozi M., Brice A., Brighina L., Brockmann K., Brucke T., Bruggemann N., Camacho M., Cardoso F., Belin A. C., Carr J., Chan P., Chang-Castello J., Chase B., Chen-Plotkin A., Ju Chung S., Cilia R., Clarimon J., Clark L., Cornejo-Olivas M., Corvol J. -C., Cosentino C., Cras P., Crosiers D., Damasio J., Das P., de Carvalho Aguiar P., De Michele G., De Rosa A., Dieguez E., Dorszewska J., Erer S., Ertan S., Farrer M., Fedotova E., Ferese R., Ferrarese C., Ferraz H., Fiala O., Foroud T., Friedman A., Frigerio R., Funayama M., Gambardella S., Garraux G., Gatto E. M., Genc G., Giladi N., Goldwurm S., Gomez-Esteban J. C., Gomez-Garre P., Gorostidi A., Grosset D., Hanagasi H., Hardy J., Hassan A., Hattori N., Hauser R. A., Hedera P., Hentati F., Hertz J. M., Holton J. L., Houlden H., Hutz M. H., Ikeuchi T., Illarioshkin S., Inca-Martinez M., Infante J., Jankovic J., Jeon B. S., Jesus S., Jimenez-Del-Rio M., Kaasinen V., Kataoka H., Kawakami H., Kim Y. J., Klivenyi P., Koks S., Konig I. R., Kostic V., Koziorowski D., Kruger R., Krygowska-Wajs A., Kulisevsky J., Lai D., Lang A., LeDoux M., Lesage S., Lim S. -Y., Lin C. -H., Lohmann K., Lopera F., Lopez G., Lu C. -S., Lynch T., Machaczka M., Madoev H., Magalhaes M., Majamaa K., Maraganore D., Marder K., Markopoulou K., Martikainen M. H., Mata I., Mazzetti P., Mellick G., Menendez-Gonzalez M., Micheli F., Mirelman A., Mir P., Morino H., Morris H., Munhoz R. P., Naito A., Olszewska D. A., Ozelius L. J., Padmanabhan S., Paisan-Ruiz C., Payami H., Peluso S., Petkovic S., Petrucci S., Pezzoli G., Pimentel M., Pirker W., Pramstaller P. P., Pulkes T., Puschmann A., Quattrone A., Raggio V., Ransmayr G., Rieder C., Riess O., Rodriguez-Porcel F., Rogaeva E., Ross O. A., Ruiz-Martinez J., Sammler E., San Luciano M., Satake W., Saunders-Pullman R., Sazci A., Scherzer C., Schrag A., Schumacher-Schuh A., Sharma M., Sidransky E., Singleton A. B., Petersen M. S., Smolders S., Spitz M., Stefanis L., Struhal W., Sue C. M., Swan M., Swanberg M., Taba P., Taipa R., Tan M., Tan A. H., Tan E. -K., Tang B., Tayebi N., Thaler A., Thomas A., Toda T., Toft M., Torres L., Tumas V., Valente E. M., Van Broeckhoven C., Vecsei L., Velez-Pardo C., Vidailhet M., Warner T. T., Williams-Gray C. H., Winkelmann J., Woitalla D., Wood N. W., Wszolek Z. K., Wu R. -M., Wu Y. -R., Xie T., Yoshino H., Zhang B., Zimprich A., Vollstedt, E, Kasten, M, Klein, C, Aasly, J, Adler, C, Ahmad-Annuar, A, Albanese, A, Alcalay, R, Al-Mubarak, B, Alvarez, V, Andree-Munoz, B, Annesi, G, Appel-Cresswell, S, Arkadir, D, Armasu, S, Barber, T, Bardien, S, Barkhuizen, M, Barrett, M, Basak, A, Beach, T, Benitez, B, Berg, D, Bhatia, K, Binkofski, F, Blauwendraat, C, Bonifati, V, Borges, V, Bozi, M, Brice, A, Brighina, L, Brockmann, K, Brucke, T, Bruggemann, N, Camacho, M, Cardoso, F, Belin, A, Carr, J, Chan, P, Chang-Castello, J, Chase, B, Chen-Plotkin, A, Ju Chung, S, Cilia, R, Clarimon, J, Clark, L, Cornejo-Olivas, M, Corvol, J, Cosentino, C, Cras, P, Crosiers, D, Damasio, J, Das, P, de Carvalho Aguiar, P, De Michele, G, De Rosa, A, Dieguez, E, Dorszewska, J, Erer, S, Ertan, S, Farrer, M, Fedotova, E, Ferese, R, Ferrarese, C, Ferraz, H, Fiala, O, Foroud, T, Friedman, A, Frigerio, R, Funayama, M, Gambardella, S, Garraux, G, Gatto, E, Genc, G, Giladi, N, Goldwurm, S, Gomez-Esteban, J, Gomez-Garre, P, Gorostidi, A, Grosset, D, Hanagasi, H, Hardy, J, Hassan, A, Hattori, N, Hauser, R, Hedera, P, Hentati, F, Hertz, J, Holton, J, Houlden, H, Hutz, M, Ikeuchi, T, Illarioshkin, S, Inca-Martinez, M, Infante, J, Jankovic, J, Jeon, B, Jesus, S, Jimenez-Del-Rio, M, Kaasinen, V, Kataoka, H, Kawakami, H, Kim, Y, Klivenyi, P, Koks, S, Konig, I, Kostic, V, Koziorowski, D, Kruger, R, Krygowska-Wajs, A, Kulisevsky, J, Lai, D, Lang, A, Ledoux, M, Lesage, S, Lim, S, Lin, C, Lohmann, K, Lopera, F, Lopez, G, Lu, C, Lynch, T, Machaczka, M, Madoev, H, Magalhaes, M, Majamaa, K, Maraganore, D, Marder, K, Markopoulou, K, Martikainen, M, Mata, I, Mazzetti, P, Mellick, G, Menendez-Gonzalez, M, Micheli, F, Mirelman, A, Mir, P, Morino, H, Morris, H, Munhoz, R, Naito, A, Olszewska, D, Ozelius, L, Padmanabhan, S, Paisan-Ruiz, C, Payami, H, Peluso, S, Petkovic, S, Petrucci, S, Pezzoli, G, Pimentel, M, Pirker, W, Pramstaller, P, Pulkes, T, Puschmann, A, Quattrone, A, Raggio, V, Ransmayr, G, Rieder, C, Riess, O, Rodriguez-Porcel, F, Rogaeva, E, Ross, O, Ruiz-Martinez, J, Sammler, E, San Luciano, M, Satake, W, Saunders-Pullman, R, Sazci, A, Scherzer, C, Schrag, A, Schumacher-Schuh, A, Sharma, M, Sidransky, E, Singleton, A, Petersen, M, Smolders, S, Spitz, M, Stefanis, L, Struhal, W, Sue, C, Swan, M, Swanberg, M, Taba, P, Taipa, R, Tan, M, Tan, A, Tan, E, Tang, B, Tayebi, N, Thaler, A, Thomas, A, Toda, T, Toft, M, Torres, L, Tumas, V, Valente, E, Van Broeckhoven, C, Vecsei, L, Velez-Pardo, C, Vidailhet, M, Warner, T, Williams-Gray, C, Winkelmann, J, Woitalla, D, Wood, N, Wszolek, Z, Wu, R, Wu, Y, Xie, T, Yoshino, H, Zhang, B, Zimprich, A, Vollstedt E. -J., Kasten M., Klein C., Aasly J., Adler C., Ahmad-Annuar A., Albanese A., Alcalay R. N., Al-Mubarak B., Alvarez V., Andree-Munoz B., Annesi G., Appel-Cresswell S., Arkadir D., Armasu S., Barber T. R., Bardien S., Barkhuizen M., Barrett M. J., Basak A. N., Beach T., Benitez B. A., Berg D., Bhatia K., Binkofski F., Blauwendraat C., Bonifati V., Borges V., Bozi M., Brice A., Brighina L., Brockmann K., Brucke T., Bruggemann N., Camacho M., Cardoso F., Belin A. C., Carr J., Chan P., Chang-Castello J., Chase B., Chen-Plotkin A., Ju Chung S., Cilia R., Clarimon J., Clark L., Cornejo-Olivas M., Corvol J. -C., Cosentino C., Cras P., Crosiers D., Damasio J., Das P., de Carvalho Aguiar P., De Michele G., De Rosa A., Dieguez E., Dorszewska J., Erer S., Ertan S., Farrer M., Fedotova E., Ferese R., Ferrarese C., Ferraz H., Fiala O., Foroud T., Friedman A., Frigerio R., Funayama M., Gambardella S., Garraux G., Gatto E. M., Genc G., Giladi N., Goldwurm S., Gomez-Esteban J. C., Gomez-Garre P., Gorostidi A., Grosset D., Hanagasi H., Hardy J., Hassan A., Hattori N., Hauser R. A., Hedera P., Hentati F., Hertz J. M., Holton J. L., Houlden H., Hutz M. H., Ikeuchi T., Illarioshkin S., Inca-Martinez M., Infante J., Jankovic J., Jeon B. S., Jesus S., Jimenez-Del-Rio M., Kaasinen V., Kataoka H., Kawakami H., Kim Y. J., Klivenyi P., Koks S., Konig I. R., Kostic V., Koziorowski D., Kruger R., Krygowska-Wajs A., Kulisevsky J., Lai D., Lang A., LeDoux M., Lesage S., Lim S. -Y., Lin C. -H., Lohmann K., Lopera F., Lopez G., Lu C. -S., Lynch T., Machaczka M., Madoev H., Magalhaes M., Majamaa K., Maraganore D., Marder K., Markopoulou K., Martikainen M. H., Mata I., Mazzetti P., Mellick G., Menendez-Gonzalez M., Micheli F., Mirelman A., Mir P., Morino H., Morris H., Munhoz R. P., Naito A., Olszewska D. A., Ozelius L. J., Padmanabhan S., Paisan-Ruiz C., Payami H., Peluso S., Petkovic S., Petrucci S., Pezzoli G., Pimentel M., Pirker W., Pramstaller P. P., Pulkes T., Puschmann A., Quattrone A., Raggio V., Ransmayr G., Rieder C., Riess O., Rodriguez-Porcel F., Rogaeva E., Ross O. A., Ruiz-Martinez J., Sammler E., San Luciano M., Satake W., Saunders-Pullman R., Sazci A., Scherzer C., Schrag A., Schumacher-Schuh A., Sharma M., Sidransky E., Singleton A. B., Petersen M. S., Smolders S., Spitz M., Stefanis L., Struhal W., Sue C. M., Swan M., Swanberg M., Taba P., Taipa R., Tan M., Tan A. H., Tan E. -K., Tang B., Tayebi N., Thaler A., Thomas A., Toda T., Toft M., Torres L., Tumas V., Valente E. M., Van Broeckhoven C., Vecsei L., Velez-Pardo C., Vidailhet M., Warner T. T., Williams-Gray C. H., Winkelmann J., Woitalla D., Wood N. W., Wszolek Z. K., Wu R. -M., Wu Y. -R., Xie T., Yoshino H., Zhang B., and Zimprich A.

Published
2019

10. Genome sequencing analysis identifies new loci associated with Lewy body dementia and provides insights into its genetic architecture

Author

Chia, R, Sabir, MS, Bandres-Ciga, S, Saez-Atienzar, S, Reynolds, RH, Gustavsson, E, Walton, RL, Ahmed, S, Viollet, C, Ding, JH, Makarious, MB, Diez-Fairen, M, Portley, MK, Shah, Z, Abramzon, Y, Hernandez, DG, Blauwendraat, C, Stone, DJ, Eicher, J, Parkkinen, L, Ansorge, O, Clark, L, Honig, LS, Marder, K, Lemstra, A, St George-Hyslop, P, Londos, E, Morgan, K, Lashley, T, Warner, TT, Jaunmuktane, Z, Galasko, D, Santana, I, Tienari, PJ, Myllykangas, L, Oinas, M, Cairns, NJ, Morris, JC, Halliday, GM, Van Deerlin, VM, Trojanowski, JQ, Grassano, M, Calvo, A, Mora, G, Canosa, A, Floris, G, Bohannan, RC, Brett, F, Gan-Or, Z, Geiger, JT, Moore, A, May, P, Kruger, R, Goldstein, DS, Lopez, G, Tayebi, N, Sidransky, E, Norcliffe-Kaufmann, L, Palma, JA, Kaufmann, H, Shakkottai, VG, Perkins, M, Newell, KL, Gasser, T, Schulte, C, Landi, F, Salvi, E, Cusi, D, Masliah, E, Kim, RC, Caraway, CA, Monuki, ES, Brunetti, M, Dawson, TM, Rosenthal, LS, Albert, MS, Pletnikova, O, Troncoso, JC, Flanagan, ME, Mao, QW, Bigio, EH, Rodriguez-Rodriguez, E, Infante, J, Lage, C, Gonzalez-Aramburu, I, Sanchez-Juan, P, Ghetti, B, Keith, J, Black, SE, Masellis, M, Rogaeva, E, Duyckaerts, C, Brice, A, Lesage, S, Xiromerisiou, G, Barrett, MJ, Tilley, BS, Gentleman, S, Logroscino, G, Serrano, GE, Beach, TG, McKeith, IG, Thomas, AJ, Attems, J, Morris, CM, Palmer, L, Love, S, Troakes, C, Al-Sarraj, S, Hodges, AK, Aarsland, D, Klein, G, Kaiser, SM, Woltjer, R, Pastor, P, Bekris, LM, Leverenz, JB, Besser, LM, Kuzma, A, Renton, AE, Goate, A, Bennett, DA, Scherzer, CR, Morris, HR, Ferrari, R, Albani, D, Pickering-Brown, S, Faber, K, Kukull, WA, Morenas-Rodriguez, E, Lleo, A, Fortea, J, Alcolea, D, Clarimon, J, Nalls, MA, Ferrucci, L, Resnick, SM, Tanaka, T, Foroud, TM, Graff-Radford, NR, Wszolek, ZK, Ferman, T, Boeve, BF, Hardy, JA, Topol, EJ, Torkamani, A, Singleton, AB, Ryten, M, Dickson, DW, Chio, A, Ross, OA, Gibbs, JR, Dalgard, CL, Traynor, BJ, Scholz, SW, and Amer Genome Ctr

Subjects
hormones, hormone substitutes, and hormone antagonists
Abstract

The genetic basis of Lewy body dementia (LBD) is not well understood. Here, we performed whole-genome sequencing in large cohorts of LBD cases and neurologically healthy controls to study the genetic architecture of this understudied form of dementia, and to generate a resource for the scientific community. Genome-wide association analysis identified five independent risk loci, whereas genome-wide gene-aggregation tests implicated mutations in the gene GBA. Genetic risk scores demonstrate that LBD shares risk profiles and pathways with Alzheimer's disease and Parkinson's disease, providing a deeper molecular understanding of the complex genetic architecture of this age-related neurodegenerative condition.

Published
2021

11. Estimating disease onset from change points of markers measured with error.

Author

Lee, U, Carroll, RJ, Marder, K, Wang, Y, Garcia, TP, Lee, U, Carroll, RJ, Marder, K, Wang, Y, and Garcia, TP

Abstract

Huntington disease is an autosomal dominant, neurodegenerative disease without clearly identified biomarkers for when motor-onset occurs. Current standards to determine motor-onset rely on a clinician's subjective judgment that a patient's extrapyramidal signs are unequivocally associated with Huntington disease. This subjectivity can lead to error which could be overcome using an objective, data-driven metric that determines motor-onset. Recent studies of motor-sign decline-the longitudinal degeneration of motor-ability in patients-have revealed that motor-onset is closely related to an inflection point in its longitudinal trajectory. We propose a nonlinear location-shift marker model that captures this motor-sign decline and assesses how its inflection point is linked to other markers of Huntington disease progression. We propose two estimating procedures to estimate this model and its inflection point: one is a parametric method using nonlinear mixed effects model and the other one is a multi-stage nonparametric approach, which we developed. In an empirical study, the parametric approach was sensitive to correct specification of the mean structure of the longitudinal data. In contrast, our multi-stage nonparametric procedure consistently produced unbiased estimates regardless of the true mean structure. Applying our multi-stage nonparametric estimator to Neurobiological Predictors of Huntington Disease, a large observational study of Huntington disease, leads to earlier prediction of motor-onset compared to the clinician's subjective judgment.

Published
2021

12. Third Annual Huntington Disease Clinical Research Symposium: Organized by the Huntington Study Group

Author

Dubinsky, Richard, Roberson, Judy, Battaglia, G., Cannella, M., Riozzi, B., Orobello, S., Maat-Schieman, M. L., Aronica, E., Busceti, C. Letizia, Ciarmiello, A., Alberti, S., Sassone, J., Sipione, S., Bruno, V., Frati, L., Nicoletti, F., Squitieri, F., Rao, A., Gordon, A., Marder, K., Nolta, Jan, Anderson, K., Gruber-Baldini, A., Medalie, J., Reich, S., Fishman, P., Robottom, B., Weiner, W., Shulman, L., Langbehn, D., Paulsen, J., Witten, Celia, Cox, M., Feigin, A., Napolitano, B., Goh, A., Yastrubetskaya, O., Chiu, E., Cloud, L., Helmers, S., Jones, R., Factor, S., Emory, C. Testa, Kegelmeyer, D., Kostyk, S., Fritz, N., Kloos, A., Lessig, S., Goldstein, J., Corey-Bloom, J., Simonelli, M., Martino, T., Colonnese, C., Callaghan, J., Arran, N., Boisse, M. F., Coleman, A., Dar Santos, R., Dumas, E., Hart, E. ’t, Justo, D., Read, J., Say, M., Van Den Bogaard, S., Durr, A., Leavitt, B., Roos, R., Tabrizi, S., Bourdet, C., van Duijn, E., Craufurd, D., Evans, K., Vaccarino, A., Aylward, E., Nopoulos, P., Ross, C., Pierson, R., Mills, J., Magnotta, V., Johnson, H., Mitchell, A., Cortes, J. C., Dahmubed, A., Krakauer, J., Mazzoni, P., Russell, D., Jennings, D., Tamagnan, G., Seibyl, J., Koren, A., Zubal, G., Marek, K., Goodman, L., Carnes, R., Giuliano, J., Vetter, L., MacDonald, M., Lee, J. Min, Seong, I. Sik, Fossale, E., Anderson, M. A., Wheeler, V., Gusella, J., Johnson, J., Yu, T., Jones, D., Chan, A., Richardson, K., McCusker, E., Loy, C., Griffith, J., Paulsen, J. S., Waters, S., Tedroff, J., Kieburtz, K., Krogh, P. Lindskov, Buusman, A., Rembratt, Å., Dorey, J., Lamure, M., Toumi, M., von der Schulenburg, J. -M. Graf, Pettersson, F., Dyhring, T., Sonesson, C., Waters, N., Pontén, H., Erwin, C., Williams, J., Juhl, A., Adams, W., Byars, J., O’Rourke, J., Flynn, A., Fiedorowicz, J., Duff, K., Leserman, A., Beglinger, L., Smith, M., Stout, J., Queller, S., Rao, S., Zimbelman, J., Groves, M., Guttman, M., Wexler, E., Perlman, S., Burgunder, J. -M., Rosenblatt, A., van Kammen, D., PREDICT-HD Investigators of the Huntington Study Group, TRACK-FID Investigators, TRACK-HD Investigators, PREDICT-HD Investigators and Coordinators of the Huntington Study Group, PREDICT-HD Investigators of the Huntington Study Group, Investigators of the Huntington Study Group, Huntington Study Group PHAROS Investigators, and PREDICT-HD Investigators of the Huntington Study Group

Published
2010
Full Text
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14. Multicenter analysis of glucocerebrosidase mutations in Parkinson's disease

Author

Sidransky, E., Nalls, M.A., Aasly, J.O., Aharon-Peretz, J., Annesi, G., Barbosa, E.R., Bar-Shira, A., Berg, D., Bras, J., Brice, A., C.-M. Chen, Clark, L.N., Condroyer, C., De Marco, E.V., Eblan, M.J., Fahn, S., Farrer, M.J., Durr, A., H.-C. Fung, Gan-Or, Z., Gasser, T., Gershoni-Baruch R., Giladi, N., Griffith, A., Gurevich, T., Januario, C., Kropp, P., Lang, A.E., C.-J. Lee Chen, Lesage, S., Marder, K., Mata, I.F., Mirelman, A., Mutsui, J., Mizuta, I., Nicoletti, G., Oliveira, C., Ottman, R., Orr-Urteger, A., Pereira, L.V., Quattron, A., Spitz, M., E.-K. Tan, Tayebi, N., Toda, T., Troiano, S., Tsuji, S., Wittstock, M., Wolfsberg, T.G., Y.-R. Wu, Zabetian, C.P., Y. Zhao, and Ziegler, S.G.

Subjects
Parkinson's disease -- Risk factors, Hydrolases -- Health aspects, Enzymes -- Health aspects
Abstract

The study determines the frequency of glucocerebrosidase ("GBA") mutations in an ethnically diverse group of patients with Parkinson's disease. Findings indicate a strong relation between "GBA" mutations and Parkinson's disease.

Published
2009

18. Identification of symbol digit modality test score extremes in Huntington's disease

Author

Braisch, U, Muche, R, Rothenbacher, D, Landwehrmeyer, GB, Long, JD, Bentivoglio, AR, Biunno, I, Bonelli, RM, Dunnett, SB, Illmann, T, Levey, J, Ramos-Arroyo, M, Nielsen, JE, Paivarinta, M, Sebastian, AR, Tabrizi, SJ, Vandenberghe, W, Uhrova, T, Come, A, Garde, MB, Betz, S, Capodarca, S, Wildson, SC, da Silva, V, Di Renzo, M, Finisterra, M, Genoves, C, Gilling, M, Handley, OJ, Hvalstedt, C, Koppers, K, Lamanna, C, Laura, M, Descals, AM, Monza, D, Mutze, L, Oehmen, M, Padieu, H, Paterski, L, Koivisto, SP, Rindal, B, Roren, N, Sasinkova, P, Seliverstov, Y, Timewell, E, Cubillo, PT, van Walsem, MR, Witjes-Ane, MN, Yudina, E, Zielonka, E, Zinzi, P, Braunwarth, EM, Brugger, F, Buratti, L, Hametner, EM, Hepperger, C, Holas, C, Hotter, A, Hussl, A, Larcher, B, Mahlknecht, P, Muller, C, Pinter, B, Poewe, W, Seppi, K, Sprenger, F, Wenning, G, Dupuis, M, Minet, C, Ribai, P, Van Paemel, D, Verellen-Dumoulin, C, Klempir, J, Majerova, V, Roth, J, Babiloni, B, Debruxelles, S, Duche, C, Goizet, C, Jameau, L, Lafoucriere, D, Spampinato, U, Bachoud-Levi, AC, Boisse, MF, de Langavant, LC, Lemoine, L, Morgado, G, Youssov, K, Annic, A, Barthelemy, R, De Bruycker, C, Cabaret, M, Carette, AS, Carriere, N, Decorte, E, Defebvre, L, Delliaux, M, Delval, A, Depelchin, A, Destee, A, Dewulf-Pasz, N, Dondaine, T, Dugauquier, F, Dujardin, K, Lemaire, MH, Manouvrier, S, Peter, M, Plomhause, L, Sablonniere, B, Simonin, C, Tard, C, Thibault-Tanchou, S, Vuillaume, I, Bellonet, M, Benoit, A, Blin, S, Courtin, F, Duru, C, Fasquel, V, Godefroy, O, Krystkowiak, P, Mantaux, B, Roussel, M, Tir, M, Schuler, B, Wannepain, S, Azulay, JP, Chabot, C, Delfini, M, Eusebio, A, Fluchere, F, Grosjean, H, Mundler, L, Nowak, M, Bioux, S, Bliaux, E, Girard, C, Guyant-Marechal, L, Hannequin, D, Hannier, V, Jourdain, S, Maltete, D, Pouliquen, D, Blondeau, L, Calvas, F, Cheriet, S, Delabaere, H, Demonet, JF, Pariente, J, Pierre, M, Beuth, M, Gelderblom, H, Priller, J, Pruss, H, Spruth, E, Thiel, S, Ellrichmannberlin, G, Herrmann, L, Hoffmann, R, Kaminski, B, Saft, C, Bosredon, C, Hunger, U, Lohle, M, Maass, A, Ossig, C, Schmidt, S, Storch, A, Wolz, A, Wolz, M, Kohl, Z, Kozay, C, Ullah, J, Winkler, J, Bergmann, U, Boringer, R, Capetian, P, Kammel, G, Lambeck, J, Meier, S, Rijntjes, M, Zucker, B, Boelmans, K, Ganos, C, Goerendt, I, Heinicke, W, Hidding, U, Munchau, A, Schmalfeld, J, Stubbe, L, Zittel, S, Diercks, G, Dressler, D, Francis, F, Gayde-Stephan, S, Gorzolla, H, Kramer, B, Minschke, R, Schrader, C, Tacik, P, Longinus, B, Lusebrink, A, Muhlau, M, Peinemann, A, Stadtler, M, Weindl, A, Winkelmann, J, Ziegler, C, Bechtel, N, Beckmann, H, Bohlen, S, Gopfert, N, Holzner, E, Lange, H, Reilmann, R, Rohm, S, Rumpf, S, Sass, C, Schepers, S, Weber, N, Barth, K, Buck, A, Connemann, J, Ecker, D, Geitner, C, Held, C, Kesse, A, Landwehrmeyer, B, Lezius, F, Lewerenz, J, Nepper, S, Niess, A, Orth, M, Schneider, A, Schwenk, D, Sussmuth, S, Trautmann, S, Weydt, P, Klebe, S, Musacchio, T, Leypold, C, Noth, K, Cormio, C, de Tommaso, M, Franco, G, Sciruicchio, V, Serpino, C, Calandra-Buonaura, G, Capellari, S, Cortelli, P, Gallassi, R, Poda, R, Sambati, L, Scaglione, C, Maserati, MS, Agosti, C, Barlati, S, Compostella, S, Marchina, E, Padovani, A, Bertini, E, Ghelli, E, Ginestroni, A, Mechi, C, Paganini, M, Piacentini, S, Pradella, S, Romoli, AM, Sorbi, S, Abbruzzese, G, di Poggio, MB, Ferrandes, G, Mandich, P, Marchese, R, Tamburini, T, Baake, V, van den Bogaard, SJA, Bos, R, Dumas, EM, t'Hart, EP, Kampstra, A, Roos, RAC, Schoonderbeek, A, Aaserud, O, Bjorgo, K, Borgeod, N, Dramstad, E, Fannemel, M, Frich, JC, Gorvell, PF, Heiberg, A, Lorentzen, E, Retterstol, L, Rosby, O, Sikiric, A, Stokke, B, van Walsem, M, Wehus, R, Bjornevoll, I, Sando, SB, Haug, MG, Storseth, HH, Arntsen, V, Dziadkiewicz, A, Konkel, A, Narozanska, E, Robowski, P, Sitek, E, Slawek, J, Soltan, W, Szinwelski, M, Arkuszewski, M, Blaszczyk, M, Boczarska-Jedynak, M, Ciach-Wysocka, E, Gorzkowska, A, Nska-Myga, BJ, Kaczmarczyk, A, Klodowska-Duda, G, Opala, G, Stompel, D, Banaszkiewicz, K, Bocwinska, D, Bojakowska-Jaremek, K, Dec, M, Grabska, N, Krawczyk, GM, Kubowicz, E, Malec-Litwinowicz, M, Rudzinska, M, Stenwak, A, Szczudlik, A, Szczygiel, E, Wojcik, M, Wasielewska, A, Bryl, JAA, Ciesielska, A, Klimberg, A, Marcinkowski, J, Samara, H, Sempolowicz, J, Sniewski, BW, Zielonka, D, Gogol, A, Janik, P, Jamrozik, Z, Kaminska, A, Kwiecinski, H, Antczak, J, Jachinska, K, Krysa, W, Rakowicz, M, Richter, P, Rola, R, Ryglewicz, D, Sienkiewicz-Jarosz, H, Stepniak, I, Sulek, A, Witkowski, G, Zaremba, J, Zdzienicka, E, Ziora-Jakutowicz, K, Januario, C, Julio, F, Guedes, LC, Coelho, M, Finisterra, AM, Ferreira, JJ, Mestre, T, Mendes, T, Rosa, MM, Valadas, A, Kopishinskaya, S, Korotysh, M, Herrera, CD, Moreno, PG, Bas, J, Busquets, N, Calopa, M, Classen, SJ, Dedicha, NR, Buongiorno, MT, Maria, ADS, Munoz, E, Santacruz, P, Barbera, MA, Pardo, SA, Guia, DB, Calzado, N, Hernanz, LC, Diaz-Zorita, JPT, Catena, JL, Ferrer, PQ, Carruesco, GT, Robert, MF, Viladrich, CM, Roca, E, Idiago, JMR, Riballo, AV, Campolongo, A, de Bobadilla, RF, Bojarsky, JK, Martinez-Horta, S, Pagonabarraga, J, Perez, JP, Ribosa, R, Villa, C, Gil, MAA, Corrales, KB, Esteban, JCG, Gonzalez, A, Merino, BT, Cubo, E, Polo, CG, Mariscal, N, Romero, SG, Arbelo, JM, de Molina, RM, Martin, I, Perianez, JM, Udaeta, B, Alonso-Frech, F, Frades, B, Villanueva, MA, Sevilla, MAZ, Frech, FA, Fenollar, MD, Garcia, RGR, Villanueva, C, Bascunana, M, Ventura, MF, Ribas, GG, de Yebenes, JG, Moreno, JLLS, Barral, VM, Ruiz, PJG, Garcia, A, Lopez, RG, Barcenas, AH, Martinez-Descals, A, Martin, VP, Martinez, NR, Artiga, MJS, Sanchez, V, Pueyo, A, Gonzalez, S, Guisasola, LM, Ribacoba, MPPR, Salvador, C, Lozano, PS, Caldentey, JG, Ramirez, IL, Arques, PN, Lopera, MR, Pastor, BV, Gaston, I, Garcia-Amigot, F, Martinez-Jaurrieta, MD, Ramos-Arroyo, MA, Carrillo, F, Redondo, MTC, Mir, P, Gonzalez, LV, Moreno, JMG, Lucena, CM, Pena, JC, Redondo, L, Sanchez, VS, Fernandez, CM, Mata, MP, Lemos, MDR, Bosca, M, Burguera, JA, Vilaplana, FCBCP, Solis, P, Figuerola, BJ, Palanca, PM, Berglund, P, Constantinescu, R, Fredlund, G, Hosterey-Ugander, U, Linnsand, P, Neleborn-Lingefjard, L, Wahlstrom, J, Palhagen, S, Svenningsson, P, Paucar, M, Wallden, T, Ekwall, C, Goller, ML, Sundblom, J, Stebler, Y, Kaelin, A, Romero, I, Schupbach, M, Zaugg, SW, Jung, H, Petersen, J, Auer, M, Mihaylova, V, Vernon, N, Akhtar, S, Crooks, J, Curtis, A, de Souza, J, Piedad, J, Rickards, H, Wright, J, Pallett, A, Coulthard, E, Gethin, L, Hayward, B, Sieradzan, K, Wright, A, Busse, M, Butcher, C, Dunnett, S, Clenaghan, C, Hunt, S, Jones, L, Jones, U, Khalil, H, Minster, S, Owen, M, Price, K, Townhill, J, Rosser, A, Edwards, M, Ho, C, McGill, M, Porteous, M, Pearson, P, Harrower, T, Irvine, S, Brockie, P, Foster, J, Johns, N, McKenzie, S, Rothery, J, Thomas, G, Yates, S, Deith, C, Ireland, J, Ritchie, S, Andrew, A, Frost, J, Noad, R, Cosgrove, J, Gallantree, D, Hamer, S, Hobson, E, Jamieson, S, Kraus, A, Longthorpe, M, Markova, I, Musgrave, H, Peacy, C, Raman, A, Rowett, L, Toscano, J, Wild, S, Yardumian, P, Clayton, C, Dipple, H, Freire-Patino, D, Hallam, C, Middleton, J, Alusi, S, Davies, R, Foy, K, Gerrans, E, Leggett, H, Pate, L, Anjum, U, Coebergh, J, Eddy, C, McEntagart, M, Patton, M, Peterson, M, Rose, S, Andrews, T, Brown, S, Bruno, S, Doherty, K, Golding, C, Haider, S, Hensman, D, Lahiri, N, Lewis, M, Novak, M, Patel, A, Robertson, N, Rosser, E, Tabrizi, S, Taylor, R, Warner, T, Wild, E, Arran, N, Bek, J, Callaghan, J, Craufurd, D, Fullam, R, Howard, L, Huson, S, Johnson, L, Jones, M, Krishnamoorthy, A, Murphy, H, Oughton, E, Partington-Jones, L, Rogers, D, Sollom, A, Snowden, J, Stopford, C, Thompson, J, Tinkler, P, Trender-Gerhard, I, Verstraelen, N, Westmoreland, L, Cass, G, Davidson, L, Davison, J, Fullerton, N, Holmes, K, Komati, S, McDonnell, S, Mohammed, Z, Morgan, K, Savage, L, Singh, B, Wood, J, Chu, E, Knight, C, O'Neill, M, Das Purkayastha, D, Nemeth, AH, Siuda, G, Valentine, R, Dixon, K, Armstrong, R, Harrison, D, Hughes, M, Large, S, Donovan, JO, Palmer, A, Parkinson, A, Soltysiak, B, Timings, L, Williams, J, Burn, J, Weekes, R, Craven, J, Bailey, W, Coleman, C, Haig-Brown, D, Simpson, S, Hare, M, Majeed, T, Bandmann, O, Bradbury, A, Fairtlough, H, Fillingham, K, Foustanos, I, Gill, P, Kazoka, M, Nevitt, L, Peppa, N, Quarrell, O, Taylor, C, Tidswell, K, O'Donovan, K, Agarwal, V, Anderson, M, Gunner, K, Harris, K, Hayward, E, Heywood, M, Keys, L, Kipps, C, MacKinnon, L, Smalley, S, Gowers, L, Powell, K, Bethwaite, P, Edwards, R, Fuller, K, Phillips, M, Tan, L, Burgunder, JM, Lau, PN, Pica, E, Shoulson, I, Gusella, JG, Antonijevic, I, vankammen, D, Foroud, T, Warner, J, Giuliano, J, Vetter, L, Marshall, F, Marder, K, Frucht, S, Moskowitz, C, Clouse, R, Wasserman, P, Shannon, K, Jaglin, J, Jankovic, J, Palao, A, Harrison, M, Singer, C, Quesada, M, Hersch, S, Rosas, D, Tanev, K, Malarick, K, Colcher, A, Sanchez-Ramos, J, Kostyk, S, Paulsen, J, Perlmutter, J, Tabbal, S, Ross, C, Dorsey, R, Nucifora, F, Dubinsky, R, Dubinsky, H, Suchowersky, O, Klimek, ML, Jones, R, Morgan, J, Mohlo, E, Kang, U, Agarwal, P, Factor, S, Jennings, D, Higgins, D, Adams, J, Frank, S, Saint-Hilaire, M, Diggin, M, Furtado, S, Walker, F, O'Neill, C, Quaid, K, LeDoux, M, Raymond, L, Leavitt, B, Decolongon, J, Perlman, S, Peavy, G, Goldstein, J, Kumar, R, McCusker, E, Griffith, J, Loy, C, Wheelock, V, Tempkin, T, Martin, A, Nance, M, Mallonee, W, Suter, G, Revilla, F, Gartner, M, Drazinic, C, Fitzpatrick, MJ, Panisset, M, Duff, K, Scott, B, Weiner, W, Robottom, B, Chiu, E, Yastrubetskaya, O, Churchyard, A, Greenamyre, TJ, Oakes, D, Beck, C, Robertson, S, Eaton, K, Lindsay, P, Deuel, L, MacDonald, M, Hickey, C, Muratori, L, Leserman, A, Doucette, N, Uc, E, Rodnitzky, R, Vik, S, Davis, R, Dietrich, S, Segro, V, Erickson, D, Hunt, V, Lucarelli, N, Broyles, J, Delarosa, J, Louis, E, Panegyres, P, Schmidt, A, Barton, S, Sperin, E, Testa, C, Thiede, F, Zauber, SE, McInnis, R, Welsh, C, Wesson, M, Coleman, A, and European Commission

Subjects
Adult, Male, congenital, hereditary, and neonatal diseases and abnormalities, COHORT, Cox hazard model, quantile regression, REGISTRY, symbol digit modalities test, Genotype, Neuropsychological Tests, Cohort Studies, 03 medical and health sciences, Cellular and Molecular Neuroscience, Cognition, 0302 clinical medicine, Huntington's disease, Rating scale, mental disorders, medicine, Humans, Verbal fluency test, Longitudinal Studies, Genetics (clinical), Proportional Hazards Models, 030304 developmental biology, 0303 health sciences, Proportional hazards model, business.industry, Reproducibility of Results, Middle Aged, medicine.disease, nervous system diseases, Psychiatry and Mental health, Huntington Disease, Phenotype, Test score, Cohort, Disease Progression, Female, Observational study, business, 030217 neurology & neurosurgery, Stroop effect, Clinical psychology
Abstract

REGISTRY Investigators of the European Huntington's Disease Network and COHORT Investigators of the Huntington Study Group., Studying individuals with extreme phenotypes could facilitate the understanding of disease modification by genetic or environmental factors. Our aim was to identify Huntington's disease (HD) patients with extreme symbol digit modality test (SDMT) scores. We first examined in HD the contribution of cognitive measures of the Unified Huntington's Disease Rating Scale (UHDRS) in predicting clinical endpoints. The language-independent SDMT was used to identify patients performing very well or very poorly relative to their CAG and age cohort. We used data from REGISTRY and COHORT observational study participants (5,603 HD participants with CAG repeats above 39 with 13,868 visits) and of 1,006 healthy volunteers (with 2,241 visits), included to identify natural aging and education effects on cognitive measures. Separate Cox proportional hazards models with CAG, age at study entry, education, sex, UHDRS total motor score and cognitive (SDMT, verbal fluency, Stroop tests) scores as covariates were used to predict clinical endpoints. Quantile regression for longitudinal language-independent SDMT data was used for boundary (2.5% and 97.5% quantiles) estimation and extreme score analyses stratified by age, education, and CAG repeat length. Ten percent of HD participants had an extreme SDMT phenotype for at least one visit. In contrast, only about 3% of participants were consistent SDMT extremes at two or more visits. The thresholds for the one-visit and two-visit extremes can be used to classify existing and new individuals. The identification of these phenotype extremes can be useful in the search for disease modifiers., This work was in part funded by a grant from the EuropeanCommission under the 7th framework programme (RD-Connect, grantagreement number 305444).

Published
2019
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19. Predicting Progression in Parkinson’s Disease Using Baseline and 1-Year Change Measures

Author

Chahine, LM, Siderowf, A, Barnes, J, Seedorff, N, Caspell-Garcia, C, Simuni, T, Coffey, CS, Galasko, D, Mollenhauer, B, Arnedo, V, Daegele, N, Frasier, M, Tanner, C, Kieburtz, K, Marek, K, Seibyl, J, Coffey, C, Tosun-Turgut, D, Shaw, L, Trojanowski, J, Singleton, A, Toga, A, Chahine, L, Poewe, W, Foroud, T, Poston, K, Sherer, T, Chowdhury, S, Kopil, C, Casaceli, C, Dorsey, R, Wilson, R, Mahes, S, Salerno, C, Crawford, K, Casalin, P, Malferrari, G, Weisz, MG, Orr-Urtreger, A, Montine, T, Russell, D, Dahodwala, N, Giladi, N, Factor, S, Hogarth, P, Standaert, D, Hauser, R, Jankovic, J, Saint-Hilaire, M, Richard, I, Shprecher, D, Fernandez, H, Brockmann, K, Rosenthal, L, Barone, P, Espay, A, Rowe, D, Marder, K, Santiago, A, Bressman, S, Hu, S-C, Isaacson, S, Corvol, J-C, Ruiz Martinez, J, Tolosa, E, Tai, Y, Politis, M, Smejdir, D, Rees, L, Williams, K, Kausar, F, Richardson, W, Willeke, D, Peacock, S, Sommerfeld, B, Freed, A, Wakeman, K, Blair, C, Guthrie, S, Harrell, L, Hunter, C, Thomas, C-A, James, R, Zimmerman, G, Brown, V, Mule, J, Hilt, E, Ribb, K, Ainscough, S, Wethington, M, Ranola, M, Santana, HM, Moreno, J, Raymond, D, Speketer, K, Carvajal, L, Carvalho, S, Croitoru, I, Garrido, A, Payne, LM, Viswanth, V, Severt, L, Facheris, M, Soares, H, Mintun, MA, Cedarbaum, J, Taylor, P, Biglan, K, Vandenbroucke, E, Sheikh, ZH, Bingol, B, Fischer, T, Sardi, P, Forrat, R, Reith, A, Egebjerg, J, Hillert, GA, Saba, B, Min, C, Umek, R, Mather, J, De Santi, S, Post, A, Boess, F, Taylor, K, Grachev, I, Avbersek, A, Muglia, P, Merchant, K, Tauscher, J, and Michael J Fox Foundation

Subjects
Male, Research Report, 0301 basic medicine, Movement disorders, Parkinson's disease, MOTOR PROGRESSION, Disease, 0601 Biochemistry and Cell Biology, Severity of Illness Index, Behavior disorder, PROGNOSTIC-FACTORS, 0302 clinical medicine, BOOTSTRAP, Medicine, Parkinson’s disease, biomarkers, disease progression, surrogate endpoint, Prospective Studies, RATING-SCALE, Brain, Parkinson Disease, Middle Aged, SPECT, Female, medicine.symptom, Life Sciences & Biomedicine, medicine.medical_specialty, Disease duration, Rapid eye movement sleep, The Parkinson’s Progression Markers Initiative, 03 medical and health sciences, Cellular and Molecular Neuroscience, Rating scale, Internal medicine, Humans, Aged, Dopamine Plasma Membrane Transport Proteins, Science & Technology, IDENTIFICATION, business.industry, Surrogate endpoint, Neurosciences, medicine.disease, 030104 developmental biology, SLEEP BEHAVIOR DISORDER, Neurosciences & Neurology, Neurology (clinical), sense organs, TAU, 1109 Neurosciences, business, 030217 neurology & neurosurgery
Abstract

Author(s): Chahine, Lana M; Siderowf, Andrew; Barnes, Janel; Seedorff, Nicholas; Caspell-Garcia, Chelsea; Simuni, Tanya; Coffey, Christopher S; Galasko, Douglas; Mollenhauer, Brit; Arnedo, Vanessa; Daegele, Nichole; Frasier, Mark; Tanner, Caroline; Kieburtz, Karl; Marek, Kenneth; The Parkinson’s Progression Markers Initiative | Abstract: BackgroundImproved prediction of Parkinson's disease (PD) progression is needed to support clinical decision-making and to accelerate research trials.ObjectivesTo examine whether baseline measures and their 1-year change predict longer-term progression in early PD.MethodsParkinson's Progression Markers Initiative study data were used. Participants had disease duration ≤2 years, abnormal dopamine transporter (DAT) imaging, and were untreated with PD medications. Baseline and 1-year change in clinical, cerebrospinal fluid (CSF), and imaging measures were evaluated as candidate predictors of longer-term (up to 5 years) change in Movement Disorders Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) score and DAT specific binding ratios (SBR) using linear mixed-effects models.ResultsAmong 413 PD participants, median follow-up was 5 years. Change in MDS-UPDRS from year-2 to last follow-up was associated with disease duration (β= 0.351; 95% CI = 0.146, 0.555), male gender (β= 3.090; 95% CI = 0.310, 5.869), and baseline (β= -0.199; 95% CI = -0.315, -0.082) and 1-year change (β= 0.540; 95% CI = 0.423, 0.658) in MDS-UPDRS; predictors in the model accounted for 17.6% of the variance in outcome. Predictors of percent change in mean SBR from year-2 to last follow-up included baseline rapid eye movement sleep behavior disorder score (β= -0.6229; 95% CI = -1.2910, 0.0452), baseline (β= 7.232; 95% CI = 2.268, 12.195) and 1-year change (β= 45.918; 95% CI = 35.994,55.843) in mean striatum SBR, and 1-year change in autonomic symptom score (β= -0.325;95% CI = -0.695, 0.045); predictors in the model accounted for 44.1% of the variance.ConclusionsBaseline clinical, CSF, and imaging measures in early PD predicted change in MDS-UPDRS and dopamine-transporter binding, but the predictive value of the models was low. Adding the short-term change of possible predictors improved the predictive value, especially for modeling change in dopamine-transporter binding.

Published
2019

25. Using global team science to identify genetic Parkinson's disease worldwide

Author

Vollstedt, E‐J, Kasten, M., Klein, C., Aasly, J., Adler, C., Ahmad‐Annuar, A., Albanese, A., Alcalay, R., Al‐Mubarak, B., Alvarez, V., Andree‐Muñoz, B., Annesi, G., Appel‐Cresswell, S., Arkadir, D., Armasu, S., Barber, T.R., Bardien, S., Barkhuizen, M., Barrett, M.J., BaŞak, A.N., Beach, T., Benitez, B.A., Berg, D., Bhatia, K., Binkofski, F., Blauwendraat, C., Bonifati, V., Borges, V., Bozi, M., Brice, A., Brighina, L., Brockmann, K., Brüggemann, N., Camacho, M., Cardoso, F., Belin, A.C., Carr, J., Chan, P., Chang‐Castello, J., Chase, B., Chen‐Plotkin, A., Chung, S.J., Cilia, R., Clarimon, J., Clark, L., Cornejo‐Olivas, M., Corvol, J‐C, Cosentino, C., Cras, P., Crosiers, D., Damásio, J., Das, P., Carvalho Aguiar, P., De Michele, G., De Rosa, A., Dieguez, E., Dorszewska, J., Erer, S., Ertan, S., Farrer, M., Fedotova, E., Ferese, R., Ferrarese, C., Ferraz, H., Fiala, O., Foroud, T., Friedman, A., Frigerio, R., Funayama, M., Gambardella, S., Garraux, G., Gatto, E.M., Genç, G., Goldwurm, S., Gomez‐Esteban, J.C., Gómez‐Garre, P., Gorostidi, A., Grosset, D., Hanagasi, H., Hardy, J., Hassan, A., Hattori, N., Hauser, R.A., Hedera, P., Hentati, F., Hertz, J.M., Holton, J.L., Houlden, H., Hutz, M.H., Ikeuchi, T., Illarioshkin, S., Inca‐Martinez, M., Infante, J., Jankovic, J., Jeon, B.S., Jesús, S., Jimenez‐Del‐Rio, M., Kataoka, H., Kawakami, H., Kim, Y.J., Klivényi, P., Kõks, S., König, I.R., KostiĆ, V., Koziorowski, D., Krüger, R., Krygowska‐Wajs, A., Kulisevsky, J., Lang, A., LeDoux, M., Lesage, S., Lim, S‐Y, Lin, C‐H, Lohmann, K., Lopera, F., Lopez, G., Lu, C‐S, Lynch, T., Machaczka, M., Madoev, H., Magalhães, M., Majamaa, K., Maraganore, D., Marder, K., Markopoulou, K., Martikainen, M.H., Mata, I., Mazzetti, P., Mellick, G., Menéndez‐González, M., Micheli, F., Mirelman, A., Mir, P., Morino, H., Morris, H., Munhoz, R.P., Naito, A., Olszewska, D.A., Ozelius, L.J., Padmanabhan, S., Paisán‐Ruiz, C., Payami, H., Peluso, S., Petkovic, S., Petrucci, S., Pezzoli, G., Pimentel, M., Pirker, W., Pramstaller, P.P., Pulkes, T., Puschmann, A., Quattrone, A., Raggio, V., Ransmayr, G., Rieder, C., Riess, O., Rodriguez‐Porcel, F., Rogaeva, E., Ross, O.A., Ruiz‐Martinez, J., Sammler, E., Luciano, M.S., Satake, W., Saunders‐Pullman, R., Sazci, A., Scherzer, C., Schrag, A., Schumacher‐Schuh, A., Sharma, M., Sidransky, E., Singleton, A.B., Petersen, M.S., Smolders, S., Spitz, M., Stefanis, L., Struhal, W., Sue, C., Swan, M., Swanberg, M., Taba, P., Taipa, R., Tan, M., Tan, A.H., Tan, E‐K, Tang, B., Tayebi, N., Thaler, A., Thomas, A., Toda, T., Toft, M., Torres, L., Tumas, V., Valente, E.M., Van Broeckhoven, C., Vecsei, L., Velez‐Pardo, C., Vidailhet, M., Warner, T.T., Williams‐Gray, C.H., Winkelmann, J., Woitalla, D., Wood, N.W., Wszolek, Z.K., Wu, R‐M, Wu, Y‐R, Xie, T., Yoshino, H., Zhang, B., Zimprich, A., Vollstedt, E‐J, Kasten, M., Klein, C., Aasly, J., Adler, C., Ahmad‐Annuar, A., Albanese, A., Alcalay, R., Al‐Mubarak, B., Alvarez, V., Andree‐Muñoz, B., Annesi, G., Appel‐Cresswell, S., Arkadir, D., Armasu, S., Barber, T.R., Bardien, S., Barkhuizen, M., Barrett, M.J., BaŞak, A.N., Beach, T., Benitez, B.A., Berg, D., Bhatia, K., Binkofski, F., Blauwendraat, C., Bonifati, V., Borges, V., Bozi, M., Brice, A., Brighina, L., Brockmann, K., Brüggemann, N., Camacho, M., Cardoso, F., Belin, A.C., Carr, J., Chan, P., Chang‐Castello, J., Chase, B., Chen‐Plotkin, A., Chung, S.J., Cilia, R., Clarimon, J., Clark, L., Cornejo‐Olivas, M., Corvol, J‐C, Cosentino, C., Cras, P., Crosiers, D., Damásio, J., Das, P., Carvalho Aguiar, P., De Michele, G., De Rosa, A., Dieguez, E., Dorszewska, J., Erer, S., Ertan, S., Farrer, M., Fedotova, E., Ferese, R., Ferrarese, C., Ferraz, H., Fiala, O., Foroud, T., Friedman, A., Frigerio, R., Funayama, M., Gambardella, S., Garraux, G., Gatto, E.M., Genç, G., Goldwurm, S., Gomez‐Esteban, J.C., Gómez‐Garre, P., Gorostidi, A., Grosset, D., Hanagasi, H., Hardy, J., Hassan, A., Hattori, N., Hauser, R.A., Hedera, P., Hentati, F., Hertz, J.M., Holton, J.L., Houlden, H., Hutz, M.H., Ikeuchi, T., Illarioshkin, S., Inca‐Martinez, M., Infante, J., Jankovic, J., Jeon, B.S., Jesús, S., Jimenez‐Del‐Rio, M., Kataoka, H., Kawakami, H., Kim, Y.J., Klivényi, P., Kõks, S., König, I.R., KostiĆ, V., Koziorowski, D., Krüger, R., Krygowska‐Wajs, A., Kulisevsky, J., Lang, A., LeDoux, M., Lesage, S., Lim, S‐Y, Lin, C‐H, Lohmann, K., Lopera, F., Lopez, G., Lu, C‐S, Lynch, T., Machaczka, M., Madoev, H., Magalhães, M., Majamaa, K., Maraganore, D., Marder, K., Markopoulou, K., Martikainen, M.H., Mata, I., Mazzetti, P., Mellick, G., Menéndez‐González, M., Micheli, F., Mirelman, A., Mir, P., Morino, H., Morris, H., Munhoz, R.P., Naito, A., Olszewska, D.A., Ozelius, L.J., Padmanabhan, S., Paisán‐Ruiz, C., Payami, H., Peluso, S., Petkovic, S., Petrucci, S., Pezzoli, G., Pimentel, M., Pirker, W., Pramstaller, P.P., Pulkes, T., Puschmann, A., Quattrone, A., Raggio, V., Ransmayr, G., Rieder, C., Riess, O., Rodriguez‐Porcel, F., Rogaeva, E., Ross, O.A., Ruiz‐Martinez, J., Sammler, E., Luciano, M.S., Satake, W., Saunders‐Pullman, R., Sazci, A., Scherzer, C., Schrag, A., Schumacher‐Schuh, A., Sharma, M., Sidransky, E., Singleton, A.B., Petersen, M.S., Smolders, S., Spitz, M., Stefanis, L., Struhal, W., Sue, C., Swan, M., Swanberg, M., Taba, P., Taipa, R., Tan, M., Tan, A.H., Tan, E‐K, Tang, B., Tayebi, N., Thaler, A., Thomas, A., Toda, T., Toft, M., Torres, L., Tumas, V., Valente, E.M., Van Broeckhoven, C., Vecsei, L., Velez‐Pardo, C., Vidailhet, M., Warner, T.T., Williams‐Gray, C.H., Winkelmann, J., Woitalla, D., Wood, N.W., Wszolek, Z.K., Wu, R‐M, Wu, Y‐R, Xie, T., Yoshino, H., Zhang, B., and Zimprich, A.

Abstract

Talks on rare diseases in the field of neurology often start with a statement like this: “About 80% of all rare diseases have a neurologic manifestation and about 80% of those are genetic in origin.” Although these numbers probably represent more of an estimate than well‐documented evidence, rapidly advancing and cost‐effective sequencing technologies have led to the quickly growing identification of patients with hereditary neurological diseases...

Published
2019

26. Using global team science to identify genetic parkinson's disease worldwide

Author

Vollstedt, E. -J., Kasten, M., Klein, C., Aasly, J., Adler, C., Ahmad-Annuar, A., Albanese, Alberto, Alcalay, R. N., Al-Mubarak, B., Alvarez, V., Andree-Munoz, B., Annesi, G., Appel-Cresswell, S., Arkadir, D., Armasu, S., Barber, T. R., Bardien, S., Barkhuizen, M., Barrett, M. J., Basak, A. N., Beach, T., Benitez, B. A., Berg, D., Bhatia, K., Binkofski, F., Blauwendraat, C., Bonifati, V., Borges, V., Bozi, M., Brice, A., Brighina, L., Brockmann, K., Brucke, T., Bruggemann, N., Camacho, M., Cardoso, F., Belin, A. C., Carr, J., Chan, P., Chang-Castello, J., Chase, B., Chen-Plotkin, A., Ju Chung, S., Cilia, R., Clarimon, J., Clark, L., Cornejo-Olivas, M., Corvol, J. -C., Cosentino, C., Cras, P., Crosiers, D., Damasio, J., Das, P., de Carvalho Aguiar, P., De Michele, G., De Rosa, A., Dieguez, E., Dorszewska, J., Erer, S., Ertan, S., Farrer, M., Fedotova, E., Ferese, R., Ferrarese, C., Ferraz, H., Fiala, O., Foroud, T., Friedman, A., Frigerio, R., Funayama, M., Gambardella, S., Garraux, G., Gatto, E. M., Genc, G., Giladi, N., Goldwurm, S., Gomez-Esteban, J. C., Gomez-Garre, P., Gorostidi, A., Grosset, D., Hanagasi, H., Hardy, J., Hassan, A., Hattori, N., Hauser, R. A., Hedera, P., Hentati, F., Hertz, J. M., Holton, J. L., Houlden, H., Hutz, M. H., Ikeuchi, T., Illarioshkin, S., Inca-Martinez, M., Infante, J., Jankovic, J., Jeon, B. S., Jesus, S., Jimenez-Del-Rio, M., Kaasinen, V., Kataoka, H., Kawakami, H., Kim, Y. J., Klivenyi, P., Koks, S., Konig, I. R., Kostic, V., Koziorowski, D., Kruger, R., Krygowska-Wajs, A., Kulisevsky, J., Lai, D., Lang, A., Ledoux, M., Lesage, S., Lim, S. -Y., Lin, C. -H., Lohmann, K., Lopera, F., Lopez, G., Lu, C. -S., Lynch, T., Machaczka, M., Madoev, H., Magalhaes, M., Majamaa, K., Maraganore, D., Marder, K., Markopoulou, K., Martikainen, M. H., Mata, I., Mazzetti, P., Mellick, G., Menendez-Gonzalez, M., Micheli, F., Mirelman, A., Mir, P., Morino, H., Morris, H., Munhoz, R. P., Naito, A., Olszewska, D. A., Ozelius, L. J., Padmanabhan, S., Paisan-Ruiz, C., Payami, H., Peluso, S., Petkovic, S., Petrucci, S., Pezzoli, G., Pimentel, M., Pirker, W., Pramstaller, P. P., Pulkes, T., Puschmann, A., Quattrone, A., Raggio, V., Ransmayr, G., Rieder, C., Riess, O., Rodriguez-Porcel, F., Rogaeva, E., Ross, O. A., Ruiz-Martinez, J., Sammler, E., San Luciano, M., Satake, W., Saunders-Pullman, R., Sazci, A., Scherzer, C., Schrag, A., Schumacher-Schuh, A., Sharma, M., Sidransky, E., Singleton, A. B., Petersen, M. S., Smolders, S., Spitz, M., Stefanis, L., Struhal, W., Sue, C. M., Swan, M., Swanberg, M., Taba, P., Taipa, R., Tan, M., Tan, A. H., Tan, E. -K., Tang, B., Tayebi, N., Thaler, A., Thomas, A., Toda, T., Toft, M., Torres, L., Tumas, V., Valente, E. M., Van Broeckhoven, C., Vecsei, L., Velez-Pardo, C., Vidailhet, M., Warner, T. T., Williams-Gray, C. H., Winkelmann, J., Woitalla, D., Wood, N. W., Wszolek, Z. K., Wu, R. -M., Wu, Y. -R., Xie, T., Yoshino, H., Zhang, B., Zimprich, A., Albanese A. (ORCID:0000-0002-5864-0006), Vollstedt, E. -J., Kasten, M., Klein, C., Aasly, J., Adler, C., Ahmad-Annuar, A., Albanese, Alberto, Alcalay, R. N., Al-Mubarak, B., Alvarez, V., Andree-Munoz, B., Annesi, G., Appel-Cresswell, S., Arkadir, D., Armasu, S., Barber, T. R., Bardien, S., Barkhuizen, M., Barrett, M. J., Basak, A. N., Beach, T., Benitez, B. A., Berg, D., Bhatia, K., Binkofski, F., Blauwendraat, C., Bonifati, V., Borges, V., Bozi, M., Brice, A., Brighina, L., Brockmann, K., Brucke, T., Bruggemann, N., Camacho, M., Cardoso, F., Belin, A. C., Carr, J., Chan, P., Chang-Castello, J., Chase, B., Chen-Plotkin, A., Ju Chung, S., Cilia, R., Clarimon, J., Clark, L., Cornejo-Olivas, M., Corvol, J. -C., Cosentino, C., Cras, P., Crosiers, D., Damasio, J., Das, P., de Carvalho Aguiar, P., De Michele, G., De Rosa, A., Dieguez, E., Dorszewska, J., Erer, S., Ertan, S., Farrer, M., Fedotova, E., Ferese, R., Ferrarese, C., Ferraz, H., Fiala, O., Foroud, T., Friedman, A., Frigerio, R., Funayama, M., Gambardella, S., Garraux, G., Gatto, E. M., Genc, G., Giladi, N., Goldwurm, S., Gomez-Esteban, J. C., Gomez-Garre, P., Gorostidi, A., Grosset, D., Hanagasi, H., Hardy, J., Hassan, A., Hattori, N., Hauser, R. A., Hedera, P., Hentati, F., Hertz, J. M., Holton, J. L., Houlden, H., Hutz, M. H., Ikeuchi, T., Illarioshkin, S., Inca-Martinez, M., Infante, J., Jankovic, J., Jeon, B. S., Jesus, S., Jimenez-Del-Rio, M., Kaasinen, V., Kataoka, H., Kawakami, H., Kim, Y. J., Klivenyi, P., Koks, S., Konig, I. R., Kostic, V., Koziorowski, D., Kruger, R., Krygowska-Wajs, A., Kulisevsky, J., Lai, D., Lang, A., Ledoux, M., Lesage, S., Lim, S. -Y., Lin, C. -H., Lohmann, K., Lopera, F., Lopez, G., Lu, C. -S., Lynch, T., Machaczka, M., Madoev, H., Magalhaes, M., Majamaa, K., Maraganore, D., Marder, K., Markopoulou, K., Martikainen, M. H., Mata, I., Mazzetti, P., Mellick, G., Menendez-Gonzalez, M., Micheli, F., Mirelman, A., Mir, P., Morino, H., Morris, H., Munhoz, R. P., Naito, A., Olszewska, D. A., Ozelius, L. J., Padmanabhan, S., Paisan-Ruiz, C., Payami, H., Peluso, S., Petkovic, S., Petrucci, S., Pezzoli, G., Pimentel, M., Pirker, W., Pramstaller, P. P., Pulkes, T., Puschmann, A., Quattrone, A., Raggio, V., Ransmayr, G., Rieder, C., Riess, O., Rodriguez-Porcel, F., Rogaeva, E., Ross, O. A., Ruiz-Martinez, J., Sammler, E., San Luciano, M., Satake, W., Saunders-Pullman, R., Sazci, A., Scherzer, C., Schrag, A., Schumacher-Schuh, A., Sharma, M., Sidransky, E., Singleton, A. B., Petersen, M. S., Smolders, S., Spitz, M., Stefanis, L., Struhal, W., Sue, C. M., Swan, M., Swanberg, M., Taba, P., Taipa, R., Tan, M., Tan, A. H., Tan, E. -K., Tang, B., Tayebi, N., Thaler, A., Thomas, A., Toda, T., Toft, M., Torres, L., Tumas, V., Valente, E. M., Van Broeckhoven, C., Vecsei, L., Velez-Pardo, C., Vidailhet, M., Warner, T. T., Williams-Gray, C. H., Winkelmann, J., Woitalla, D., Wood, N. W., Wszolek, Z. K., Wu, R. -M., Wu, Y. -R., Xie, T., Yoshino, H., Zhang, B., Zimprich, A., and Albanese A. (ORCID:0000-0002-5864-0006)

Abstract

Talks on rare diseases in the field of neurology often start with a statement like this: “About 80% of all rare diseases have a neurologic manifestation and about 80% of those are genetic in origin.” Although these numbers probably represent more of an estimate than well-documented evidence, rapidly advancing and cost-effective sequencing technologies have led to the quickly growing identification of patients with hereditary neurological diseases. Although the importance of genetics for diagnosis and genetic counseling is undisputed, the recent development of first genetargeted therapies entering clinical trial1,2 is adding an important new layer to the (re-)consideration of genetic testing in neurology. However, establishing accurate genotype– phenotype and genotype–treatment relationships requires large sample sizes. Systematic reviews can serve as instruments to combine information from several small samples, but unfortunately, this is often complicated by inconsistent and incomplete reporting of clinical and genetic data across studies. Thus, large multicenter approaches are necessary to systematically and uniformly characterize patients with genetic neurologic conditions and to eventually establish sizable clinical trial-ready cohorts.

Published
2019

28. Are demented patients with Parkinson's disease accurately reflected in prevalence surveys? A survival analysis

Author

Marder, K., Leung, D., Tang, M., Bell, K., Dooneief, G., Cote, L., Stern, Y., and Mayeux, R.

Subjects
Epidemiology -- Methods, Epidemiology -- Evaluation, Parkinsonism -- Demographic aspects, Dementia -- Demographic aspects, Prevalence studies (Epidemiology) -- Evaluation, Health, Psychology and mental health
Abstract

Two of the primary statistics which might be gathered by an epidemiologist studying a particular disease are prevalence and incidence. Prevalence is the number of cases existing in the population, and is usually expressed in terms of cases per 100,000 people. Incidence is the number of new cases which appear each year, and is usually expressed and cases per 100,000 people per year. While the two different statistics both give some idea about the occurrence of the disease, the inappropriate statistic may also given a misleading idea. This is the case when trying to determine how many patients with Parkinson's disease (PD) are also affected with dementia. Several problems face the researcher trying to tabulate the relation between parkinsonism and dementia. Simply counting the number of patients with both Parkinson's disease and dementia is quite difficult in itself, due to the problems inherent in diagnosing dementia. However, a subtler problem also exists. In a previous study, it was found that 10.9 percent of patients with Parkinson's disease also had dementia. That is, the prevalence of dementia among the PD patients was 10.9 percent. The subsequent identification of patients missed by the first study raised the prevalence to 15.9 percent. However, this number does not take into account any possible difference in the death rate of the two groups. For example, even if dementia affected 90 percent of the patients, if the demented patients died quickly, then a population survey would find primarily non-demented patients. Investigation found that demented PD patients do indeed have a higher death rate than do PD patients without dementia. In a review of cases after almost five years, 17 deaths occurred among 65 demented PD patients, in contrast with 28 deaths among 168 nondemented patients. These deaths decrease the prevalence of dementia among PD patients. The prevalence of dementia among PD patients is roughly 4.5 times greater than in a comparable control population. However, the rate at which cases of dementia develop, that is, the incidence, among Parkinson's patients is 6.65 times greater than a comparable control group. To appreciate the clinical association between Parkinson's disease and dementia, incidence is a more appropriate statistic than prevalence. (Consumer Summary produced by Reliance Medical Information, Inc.)

Published
1991

30. An estimate of the incidence of dementia in idiopathic Parkinson's disease

Author

Mayeux, R., Chen, J., Mirabello, E., Marder, K., Bell, K., Dooneief, G., Cote, L., and Stern, Y.

Subjects
Dementia -- Complications, Dementia -- Demographic aspects, Dementia -- Statistics, Parkinsonism -- Complications, Parkinsonism -- Demographic aspects, Health, Psychology and mental health
Abstract

Different results have been reported regarding the prevalence of dementia (severe loss of mental function) among patients with idiopathic (of no known cause) Parkinson's disease (PD). Since prevalence (the number of cases of a disease in a given population at one time) is a function of the incidence rate (the number of new cases added) and the duration of the disease, and since dementia is correlated with reduced longevity, it is possible that some prevalence figures underestimate the true extent of dementia in PD. This was addressed by re-reviewing the medical records of 249 PD patients from an earlier study that found a 10.9 percent prevalence of dementia. The results of the current investigation necessitated revision of the formerly-calculated prevalence to 15.9 percent. One hundred eighty-four patients had no signs of dementia, while 65 did have signs, for an overall incidence rate of 69 per 1,000 person-years. The risk of dementia in these PD patients increased with age until, at 85, the risk was greater than 65 percent. In summary, dementia was identified more often in this group of PD patients than would be expected in a group of people of similar age without PD. It is likely that dementia affects survival adversely; the reasons for this deserve investigation. (Consumer Summary produced by Reliance Medical Information, Inc.)

Published
1990

31. High and low levels of an NTRK2-driven genetic profile affect motor- and cognition-associated frontal gray matter in prodromal Huntington’s disease

Author

Ciarochi, JA, Liu, J, Calhoun, V, Johnson, H, Misiura, M, Bockholt, HJ, Espinoza, FA, Caprihan, A, Plis, S, Turner, JA, Paulsen, JS, Long, JD, Johnson, HJ, Brashers-Krug, T, Danzer, P, Miller, A, Montross, K, Harrington, D, Westervelt, H, Aylward, E, Rao, S, Moser, DJ, Williams, J, Downing, N, Magnotta, VA, Vaidya, J, O Leary, D, Kim, EY, Kim, JI, Lourens, S, Zhang, Y, Lu, W, Erwin, C, Nance, M, Evans, J, Zschiegner, R, Chiu, E, Loi, S, Chua, P, Raymond, L, Ross, CA, Mallonee, WM, Samii, A, Jones, R, Barker, RA, McCusker, E, Loy, C, Orth, M, Süßmuth, S, Quaid, K, Guttman, M, Perlman, S, Geschwind, MD, Sha, S, Warner, T, Rosser, A, Marshall, F, Panegyres, P, Lee, J, Perlmutter, J, Miedzybrodzka, Z, Craufurd, D, Mazzoni, P, Marder, K, Kumar, R, Wheelock, V, Martin, W, Suchowersky, O, Ahmed, A, De Soriano, I, Shadrick, C, Preston, J, Goh, A, Antonopoulos, S, Komiti, A, Decolongon, J, Fan, M, Coleman, A, Varvaris, M, Ong, M, Yoritomo, N, Suter, G, Freney, EP, Macaraeg, A, Wood-Siverio, C, Factor, SA, Mason, S, Guzman, NV, Griffith, J, McMillan, J, Raymond, Lucy [0000-0003-2652-3355], Barker, Roger [0000-0001-8843-7730], Mason, Sarah [0000-0001-6715-4109], and Apollo - University of Cambridge Repository

Subjects
supplementary motor, independent component analysis, tropomyosin receptor kinase B, brain-derived neurotrophic factor, Huntington’s disease
Abstract

This study assessed how BDNF (brain-derived neurotrophic factor) and other genes involved in its signaling influence brain structure and clinical functioning in pre-diagnosis Huntington’s disease (HD). Parallel independent component analysis (pICA), a multivariate method for identifying correlated patterns in multimodal datasets, was applied to gray matter concentration (GMC) and genomic data from a sizeable PREDICT-HD prodromal cohort (N = 715). pICA identified a genetic component highlighting NTRK2, which encodes BDNF’s TrkB receptor, that correlated with a GMC component including supplementary motor, precentral/premotor cortex, and other frontal areas (p < 0.001); this association appeared to be driven by participants with high or low levels of the genetic profile. The frontal GMC profile correlated with cognitive and motor variables (Trail Making Test A (p = 0.03); Stroop Color (p = 0.017); Stroop Interference (p = 0.04); Symbol Digit Modalities Test (p = 0.031); Total Motor Score (p = 0.01)). A top-weighted NTRK2 variant (rs2277193) was protectively associated with Trail Making Test B (p = 0.007); greater minor allele numbers were linked to a better performance. These results support the idea of a protective role of NTRK2 in prodromal HD, particularly in individuals with certain genotypes, and suggest that this gene may influence the preservation of frontal gray matter that is important for clinical functioning.

Published
2018

32. Dietary Patterns, Physical Activity, Sleep, and Risk for Dementia and Cognitive Decline

Author

Zhao, C. Noble, J.M. Marder, K. Hartman, J.S. Gu, Y. Scarmeas, N.

Abstract

Purpose of Review: Diet, physical activity, and sleep are three major modifiable lifestyle factors. This selective review examines the evidence for strong and reliable associations between these three lifestyle factors and risk of dementia and cognitive decline, in an effort to assist clinicians with providing more informed answers to the common questions they face from patients. Recent Findings: Certain aspects of nutrition can decrease risk for dementia. Physical activity has also been associated with delayed or slower age-related cognitive decline. In addition, emerging evidence links sleep dysfunction and dementia, with amyloid deposition being a possible mediator. Summary: Data from further clinical trials are needed before more definitive conclusions can be drawn regarding the efficacy of these lifestyle interventions for lowering the risk of incident dementia and cognitive decline. Nevertheless, it is reasonable to make recommendations to our patients to adopt certain dietary changes and to engage in regular physical activity to improve cardiovascular risk factors for dementia. It is also reasonable to include questions on sleep during cognitive evaluations of the elderly, given the common co-occurrence of sleep dysfunction and cognitive impairment in the elderly population. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

Published
2018

36. A voxel-based morphometry and diffusion tensor imaging analysis of asymptomatic Parkinson's disease-related G2019S LRRK2 mutation carriers

Author

Thaler, A., Artzi, M., Mirelman, A., Jacob, Y., Helmich, R.C.G., Nuenen, B.F.L. van, Gurevich, T., Orr-Urtreger, A., Marder, K., Bressman, S., Bloem, B.R., Hendler, T., Giladi, N., and Bashat, D. Ben

Subjects
Disorders of movement Donders Center for Medical Neuroscience [Radboudumc 3]
Abstract

Item does not contain fulltext BACKGROUND: Patients with Parkinson's disease have reduced gray matter volume and fractional anisotropy in both cortical and sub-cortical structures, yet changes in the pre-motor phase of the disease are unknown. METHODS: A comprehensive imaging study using voxel-based morphometry and diffusion tensor imaging tract-based spatial statistics analysis was performed on 64 Ashkenazi Jewish asymptomatic first degree relatives of patients with Parkinson's disease (30 mutation carriers), who carry the G2019S mutation in the leucine-rich repeat kinase 2 (LRRK2) gene. RESULTS: No between-group differences in gray matter volume could be noted in either whole-brain or volume-of-interest analysis. Diffusion tensor imaging analysis did not identify group differences in white matter areas, and volume-of-interest analysis identified no differences in diffusivity parameters in Parkinson's disease-related structures. CONCLUSIONS: G2019S carriers do not manifest changes in gray matter volume or diffusivity parameters in Parkinson's disease-related structures prior to the appearance of motor symptoms.

Published
2014
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37. Alpha galactosidase A activity in Parkinson's disease

Author

Alcalay, R.N., primary, Wolf, P., additional, Levy, O.A., additional, Kang, U.J., additional, Waters, C., additional, Fahn, S., additional, Ford, B., additional, Kuo, S.H., additional, Vanegas, N., additional, Shah, H., additional, Liong, C., additional, Narayan, S., additional, Pauciulo, M.W., additional, Nichols, W.C., additional, Gan-Or, Z., additional, Rouleau, G.A., additional, Chung, W.K., additional, Oliva, P., additional, Keutzer, J., additional, Marder, K., additional, and Zhang, X.K., additional

Published
2018
Full Text
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38. A cognitive fMRI study in non-manifesting LRRK2 and GBA carriers

Author

Bregman, N., Thaler, A., Mirelman, A., Helmich, R.C.G., Gurevich, T., Orr-Urtreger, A., Marder, K., Bressman, S., Bloem, B.R., Giladi, N., Bregman, N., Thaler, A., Mirelman, A., Helmich, R.C.G., Gurevich, T., Orr-Urtreger, A., Marder, K., Bressman, S., Bloem, B.R., and Giladi, N.

Abstract

Contains fulltext : 170326.pdf (publisher's version ) (Closed access), Mutations in the GBA and LRRK2 genes account for one-third of the prevalence of Parkinson's disease (PD) in Ashkenazi Jews. Non-manifesting carriers (NMC) of these mutations represent a population at risk for future development of PD. PD patient who carry mutations in the GBA gene demonstrates more significant cognitive decline compared to idiopathic PD patients. We assessed cognitive domains using fMRI among NMC of both LRRK2 and GBA mutations to better understand pre-motor cognitive functions in these populations. Twenty-one LRRK2-NMC, 10 GBA-NMC, and 22 non-manifesting non-carriers (NMNC) who participated in this study were evaluated using the standard questionnaires and scanned while performing two separate cognitive tasks; a Stroop interference task and an N-Back working memory task. Cerebral activation patterns were assessed using both whole brain and predefined region of interest (ROI) analysis. Subjects were well matched in all demographic and clinical characteristics. On the Stroop task, in spite of similar behavior, GBA-NMC demonstrated increased task-related activity in the right medial frontal gyrus and reduced task-related activity in the left lingual gyrus compared to both LRRK2-NMC and NMNC. In addition, GBA-NMC had higher activation patterns in the incongruent task compared to NMNC in the left medial frontal gyrus and bilateral precentral gyrus. No whole-brain differences were noted between groups on the N-Back task. Paired cognitive and task-related performance between GBA-NMC, LRRK2-NMC, and NMNC could indicate that the higher activation patterns in the incongruent Stroop condition among GBA-NMC compared to LRRK2-NMC and NMNC may represent a compensatory mechanism that enables adequate cognitive performance.

Published
2017

39. Large-scale meta-analysis of genome-wide association data identifies six new risk loci for Parkinson's disease

Author

Nalls, M.A. Pankratz, N. Lill, C.M. Do, C.B. Hernandez, D.G. Saad, M. Destefano, A.L. Kara, E. Bras, J. Sharma, M. Schulte, C. Keller, M.F. Arepalli, S. Letson, C. Edsall, C. Stefansson, H. Liu, X. Pliner, H. Lee, J.H. Cheng, R. Ikram, M.A. Ioannidis, J.P.A. Hadjigeorgiou, G.M. Bis, J.C. Martinez, M. Perlmutter, J.S. Goate, A. Marder, K. Fiske, B. Sutherland, M. Xiromerisiou, G. Myers, R.H. Clark, L.N. Stefansson, K. Hardy, J.A. Heutink, P. Chen, H. Wood, N.W. Houlden, H. Payami, H. Brice, A. Scott, W.K. Gasser, T. Bertram, L. Eriksson, N. Foroud, T. Singleton, A.B. Plagnol, V. Sheerin, U.-M. Simón-Sánchez, J. Lesage, S. Sveinbjörnsdóttir, S. Barker, R. Ben-Shlomo, Y. Berendse, H.W. Berg, D. Bhatia, K. de Bie, R.M.A. Biffi, A. Bloem, B. Bochdanovits, Z. Bonin, M. Bras, J.M. Brockmann, K. Brooks, J. Burn, D.J. Charlesworth, G. Chinnery, P.F. Chong, S. Clarke, C.E. Cookson, M.R. Cooper, J.M. Corvol, J.C. Counsell, C. Damier, P. Dartigues, J.-F. Deloukas, P. Deuschl, G. Dexter, D.T. van Dijk, K.D. Dillman, A. Durif, F. Dürr, A. Edkins, S. Evans, J.R. Foltynie, T. Dong, J. Gardner, M. Gibbs, J.R. Gray, E. Guerreiro, R. Harris, C. van Hilten, J.J. Hofman, A. Hollenbeck, A. Holton, J. Hu, M. Huang, X. Wurster, I. Mätzler, W. Hudson, G. Hunt, S.E. Huttenlocher, J. Illig, T. Jónsson, P.V. Lambert, J.-C. Langford, C. Lees, A. Lichtner, P. Limousin, P. Lopez, G. Lorenz, D. McNeill, A. Moorby, C. Moore, M. Morris, H.R. Morrison, K.E. Mudanohwo, E. O’sullivan, S.S. Pearson, J. Pétursson, H. Pollak, P. Post, B. Potter, S. Ravina, B. Revesz, T. Riess, O. Rivadeneira, F. Rizzu, P. Ryten, M. Sawcer, S. Schapira, A. Scheffer, H. Shaw, K. Shoulson, I. Sidransky, E. Smith, C. Spencer, C.C.A. Stefánsson, H. Bettella, F. Stockton, J.D. Strange, A. Talbot, K. Tanner, C.M. Tashakkori-Ghanbaria, A. Tison, F. Trabzuni, D. Traynor, B.J. Uitterlinden, A.G. Velseboer, D. Vidailhet, M. Walker, R. van de Warrenburg, B. Wickremaratchi, M. Williams, N. Williams-Gray, C.H. Winder-Rhodes, S. Stefánsson, K. Hardy, J. Factor, S. Higgins, D. Evans, S. Shill, H. Stacy, M. Danielson, J. Marlor, L. Williamson, K. Jankovic, J. Hunter, C. Simon, D. Ryan, P. Scollins, L. Saunders-Pullman, R. Boyar, K. Costan-Toth, C. Ohmann, E. Sudarsky, L. Joubert, C. Friedman, J. Chou, K. Fernandez, H. Lannon, M. Galvez-Jimenez, N. Podichetty, A. Thompson, K. Lewitt, P. Deangelis, M. O'brien, C. Seeberger, L. Dingmann, C. Judd, D. Marder, K. Fraser, J. Harris, J. Bertoni, J. Peterson, C. Rezak, M. Medalle, G. Chouinard, S. Panisset, M. Hall, J. Poiffaut, H. Calabrese, V. Roberge, P. Wojcieszek, J. Belden, J. Jennings, D. Marek, K. Mendick, S. Reich, S. Dunlop, B. Jog, M. Horn, C. Uitti, R. Turk, M. Ajax, T. Mannetter, J. Sethi, K. Carpenter, J. Dill, B. Hatch, L. Ligon, K. Narayan, S. Blindauer, K. Abou-Samra, K. Petit, J. Elmer, L. Aiken, E. Davis, K. Schell, C. Wilson, S. Velickovic, M. Koller, W. Phipps, S. Feigin, A. Gordon, M. Hamann, J. Licari, E. Marotta-Kollarus, M. Shannon, B. Winnick, R. Simuni, T. Videnovic, A. Kaczmarek, A. Williams, K. Wolff, M. Rao, J. Cook, M. Fernandez, M. Kostyk, S. Hubble, J. Campbell, A. Reider, C. Seward, A. Camicioli, R. Carter, J. Nutt, J. Andrews, P. Morehouse, S. Stone, C. Mendis, T. Grimes, D. Alcorn-Costa, C. Gray, P. Haas, K. Vendette, J. Sutton, J. Hutchinson, B. Young, J. Rajput, A. Klassen, L. Shirley, T. Manyam, B. Simpson, P. Whetteckey, J. Wulbrecht, B. Truong, D. Pathak, M. Frei, K. Luong, N. Tra, T. Tran, A. Vo, J. Lang, A. Kleiner-Fisman, G. Nieves, A. Johnston, L. So, J. Podskalny, G. Giffin, L. Atchison, P. Allen, C. Martin, W. Wieler, M. Suchowersky, O. Furtado, S. Klimek, M. Hermanowicz, N. Niswonger, S. Shults, C. Fontaine, D. Aminoff, M. Christine, C. Diminno, M. Hevezi, J. Dalvi, A. Kang, U. Richman, J. Uy, S. Sahay, A. Gartner, M. Schwieterman, D. Hall, D. Leehey, M. Culver, S. Derian, T. Demarcaida, T. Thurlow, S. Rodnitzky, R. Dobson, J. Lyons, K. Pahwa, R. Gales, T. Thomas, S. Shulman, L. Weiner, W. Dustin, K. Singer, C. Zelaya, L. Tuite, P. Hagen, V. Rolandelli, S. Schacherer, R. Kosowicz, J. Gordon, P. Werner, J. Serrano, C. Roque, S. Kurlan, R. Berry, D. Gardiner, I. Hauser, R. Sanchez-Ramos, J. Zesiewicz, T. Delgado, H. Price, K. Rodriguez, P. Wolfrath, S. Pfeiffer, R. Davis, L. Pfeiffer, B. Dewey, R. Hayward, B. Johnson, A. Meacham, M. Estes, B. Walker, F. Hunt, V. O'neill, C. Racette, B. Swisher, L. Dijamco, C. Conley, E.D. Dorfman, E. Tung, J.Y. Hinds, D.A. Mountain, J.L. Wojcicki, A. Lew, M. Klein, C. Golbe, L. Growdon, J. Wooten, G.F. Watts, R. Guttman, M. Goldwurm, S. Saint-Hilaire, M.H. Baker, K. Litvan, I. Nicholson, G. Nance, M. Drasby, E. Isaacson, S. Burn, D. Pramstaller, P. Al-Hinti, J. Moller, A. Sherman, S. Roxburgh, R. Slevin, J. Perlmutter, J. Mark, M.H. Huggins, N. Pezzoli, G. Massood, T. Itin, I. Corbett, A. Chinnery, P. Ostergaard, K. Snow, B. Cambi, F. Kay, D. Samii, A. Agarwal, P. Roberts, J.W. Higgins, D.S. Molho, E. Rosen, A. Montimurro, J. Martinez, E. Griffith, A. Kusel, V. Yearout, D. Factor, S. Zabetian, C. Clark, L.N. Liu, X. Lee, J.H. Cheng Taub, R. Louis, E.D. Cote, L.J. Waters, C. Ford, B. Fahn, S. Vance, J.M. Beecham, G.W. Martin, E.R. Nuytemans, K. Pericak-Vance, M.A. Haines, J.L. Destefano, A. Seshadri, S. Choi, S.H. Frank, S. Bis, J.C. Psaty, B.M. Rice, K. Longstreth, W.T., Jr. Ton, T.G.N. Jain, S. van Duijn, C.M. Uitterlinden, A.G. Verlinden, V.J. Koudstaal, P.J. Singleton, A. Cookson, M. Gibbs, J.R. Hernandez, D. Nalls, M. Zonderman, A. Ferrucci, L. Johnson, R. Longo, D. O'brien, R. Traynor, B. Troncoso, J. van der Brug, M. Zielke, R. Weale, M. Ramasamy, A. Dardiotis, E. Tsimourtou, V. Spanaki, C. Plaitakis, A. Bozi, M. Stefanis, L. Vassilatis, D. Koutsis, G. Panas, M. Hadjigeorgiou, G.M. Lunnon, K. Lupton, M. Powell, J. Parkkinen, L. Ansorge, O. International Parkinson's Disease Genomics Consortium (IPDGC) Parkinson's Study Group (PSG) Parkinson's Research: The Organized GENetics Initiative (PROGENI) 23andMe GenePD NeuroGenetics Research Consortium (NGRC) Hussman Institute of Human Genomics (HIHG) The Ashkenazi Jewish Dataset Investigator Cohorts for Health Aging Research in Genetic Epidemiology (CHARGE) North American Brain Expression Consortium (NABEC) United Kingdom Brain Expression Consortium (UKBEC) Greek Parkinson's Disease Consortium Alzheimer Genetic Analysis Group

Abstract

We conducted a meta-analysis of Parkinson's disease genome-wide association studies using a common set of 7,893,274 variants across 13,708 cases and 95,282 controls. Twenty-six loci were identified as having genome-wide significant association; these and 6 additional previously reported loci were then tested in an independent set of 5,353 cases and 5,551 controls. Of the 32 tested SNPs, 24 replicated, including 6 newly identified loci. Conditional analyses within loci showed that four loci, including GBA, GAK-DGKQ, SNCA and the HLA region, contain a secondary independent risk variant. In total, we identified and replicated 28 independent risk variants for Parkinson's disease across 24 loci. Although the effect of each individual locus was small, risk profile analysis showed substantial cumulative risk in a comparison of the highest and lowest quintiles of genetic risk (odds ratio (OR) = 3.31, 95% confidence interval (CI) = 2.55-4.30; P = 2 × 10-16). We also show six risk loci associated with proximal gene expression or DNA methylation. © 2014 Nature America, Inc. All rights reserved.

Published
2014

40. The impact of oculomotor functioning on neuropsychological performance in Huntington disease

Author

Carvalho, JO, Long, JD, Westervelt, HJ, Smith, MM, Bruce, JM, Kim, JI, Mills, JA, Paulsen, JS, De Soriano, I, Shadrick, C, Miller, A, Chiu, E, Preston, J, Goh, A, Antonopoulos, S, Loi, S, Chua, P, Komiti, A, Raymond, L, Decolongon, J, Fan, M, Coleman, A, Ross, CA, Varvaris, M, Ong, M, Yoritomo, N, Mallonee, WM, Suter, G, Samii, A, Freney, EP, Macaraeg, A, Jones, R, Wood-Siverio, C, Factor, SA, Barker, RA, Mason, S, Guzman, NV, McCusker, E, Griffith, J, Loy, C, McMillan, J, Gunn, D, Orth, M, Süßmuth, S, Barth, K, Trautmann, S, Schwenk, D, Eschenbach, C, Quaid, K, Wesson, M, Wojcieszek, J, Guttman, M, Sheinberg, A, Law, A, Karmalkar, I, Perlman, S, Clemente, B, Geschwind, MD, Sha, S, Winer, J, Satris, G, Warner, T, Burrows, M, Rosser, A, Price, K, Hunt, S, Marshall, F, Chesire, A, Wodarski, M, Hickey, C, Panegyres, P, Lee, J, Tedesco, M, Maxwell, B, Perlmutter, J, Barton, S, Smith, S, Miedzybrodzka, Z, Rae, D, Vaughan, V, D'Alessandro, M, Craufurd, D, Bek, J, Howard, E, Mazzoni, P, Marder, K, Wasserman, P, Kumar, R, Erickson, D, Reeves, C, Nickels, B, Wheelock, V, Kjer, L, Martin, A, and Farias, S

Subjects
genetic structures
Abstract

© 2016 Taylor & Francis. Huntington disease (HD) is a neurodegenerative condition with prominent motor (including oculomotor), cognitive, and psychiatric effects. While neuropsychological deficits are present in HD, motor impairments may impact performance on neuropsychological measures, especially those requiring a speeded response, as has been demonstrated in multiple sclerosis and schizophrenia. The current study is the first to explore associations between oculomotor functions and neuropsychological performance in HD. Participants with impaired oculomotor functioning performed worse than those with normal oculomotor functioning on cognitive tasks requiring oculomotor involvement, particularly on psychomotor speed tasks, controlling for covariates. Consideration of oculomotor dysfunction on neuropsychological performance is critical, particularly for populations with motor deficits.

Published
2016
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41. Intra-individual variability in prodromal Huntington disease and its relationship to genetic burden

Author

Musso, M, Westervelt, HJ, Long, JD, Morgan, E, Woods, SP, Smith, MM, Lu, W, Paulsen, JS, Cross, S, Ryan, P, Epping, EA, Chiu, E, Preston, J, Goh, A, Antonopoulos, S, Loi, S, Chua, P, Komiti, A, Raymond, L, Decolongon, J, Fan, M, Coleman, A, Ross, CA, Varvaris, M, Yoritomo, N, Mallonee, WM, Suter, G, Samii, A, Macaraeg, A, Jones, R, Wood-Siverio, C, Factor, SA, Barker, RA, Mason, S, Guzman, NV, McCusker, E, Griffith, J, Loy, C, Gunn, D, Orth, M, Süßmuth, S, Barth, K, Trautmann, S, Schwenk, D, Eschenbach, C, Quaid, K, Wesson, M, Wojcieszek, J, Guttman, M, Sheinberg, A, Karmalkar, I, Perlman, S, Clemente, B, Geschwind, MD, Sha, S, Satris, G, Warner, T, Burrows, M, Rosser, A, Price, K, Hunt, S, Marshall, F, Chesire, A, Wodarski, M, Hickey, C, Panegyres, P, Lee, J, Tedesco, M, Maxwell, B, Perlmutter, J, Barton, S, Smith, S, Miedzybrodzka, Z, Rae, D, D'Alessandro, M, Craufurd, D, Bek, J, Howard, E, Mazzoni, P, Marder, K, Wasserman, P, Kumar, R, Erickson, D, Nickels, B, Wheelock, V, Kjer, L, Martin, A, Farias, S, Suchowersky, O, Martin, W, King, P, Wieler, M, Sran, S, Ahmed, A, Rao, S, and Reece, C

Abstract

© INS. The International Neuropsychological Society 2015. The current study sought to examine the utility of intra-individual variability (IIV) in distinguishing participants with prodromal Huntington disease (HD) from nongene-expanded controls. IIV across 15 neuropsychological tasks and within-task IIV using a self-paced timing task were compared as a single measure of processing speed (Symbol Digit Modalities Test [SDMT]) in 693 gene-expanded and 191 nongene-expanded participants from the PREDICT-HD study. After adjusting for depressive symptoms and motor functioning, individuals estimated to be closest to HD diagnosis displayed higher levels of across- and within-task variability when compared to controls and those prodromal HD participants far from disease onset (FICV(3,877) = 11.25; p

Published
2015
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42. Multivariate clustering of progression profiles reveals different depression patterns in prodromal huntington disease

Author

Kim, JI, Long, JD, Mills, JA, McCusker, E, Paulsen, JS, De Soriano, I, Shadrick, C, Miller, A, Chiu, E, Preston, J, Goh, A, Antonopoulos, S, Loi, S, Chua, P, Komiti, A, Raymond, L, Decolongon, J, Fan, M, Coleman, A, Ross, CA, Varvaris, M, Ong, M, Yoritomo, N, Mallonee, WM, Suter, G, Samii, A, Freney, EP, Macaraeg, A, Jones, R, Wood-Siverio, C, Factor, SA, Barker, RA, Mason, S, Guzman, NV, Griffith, J, Loy, C, McMillan, J, Gunn, D, Orth, M, Süßmuth, S, Barth, K, Trautmann, S, Schwenk, D, Eschenbach, C, Quaid, K, Wesson, M, Wojcieszek, J, Guttman, M, Sheinberg, A, Law, A, Karmalkar, I, Perlman, S, Clemente, B, Geschwind, MD, Sha, S, Winer, J, Satris, G, Warner, T, Burrows, M, Rosser, A, Price, K, Hunt, S, Marshall, F, Chesire, A, Wodarski, M, Hickey, C, Panegyres, P, Lee, J, Tedesco, M, Maxwell, B, Perlmutter, J, Barton, S, Smith, S, Miedzybrodzka, Z, Rae, D, Vaughan, V, D'Alessandro, M, Craufurd, D, Bek, J, Howard, E, Mazzoni, P, Marder, K, Wasserman, P, Kumar, R, Erickson, D, Reeves, C, Nickels, B, Wheelock, V, Kjer, L, Martin, A, Farias, S, Martin, W, Suchowersky, O, King, P, Wieler, M, Sran, S, Ahmed, A, and Rao, S

Abstract

Objective: Although Huntington disease (HD) is caused by an autosomal dominant mutation, its phenotypic presentation differs widely. Variability in clinical phenotypes of HD may reflect the existence of disease subtypes. This hypothesis was tested in prodromal participants from the longitudinal Neurobiological Predictors of Huntington Disease (PREDICT-HD) study. Method: We performed clustering using longitudinal data assessing motor, cognitive, and depression symptoms. Using data from 521 participants with 2,716 data points, we fit growth mixture models (GMM) that identify groups based on multivariate trajectories. Results: In various GMM, different phases of disease progression were partitioned by progression trajectories of motor and cognitive signs, and by overall level of depression symptoms. More progressed motor signs were accompanied by more progressed cognitive signs, but not always by higher levels of depressive symptoms. In several models, there were at least 2 groups with similar trajectories for motor and cognitive signs that showed different levels for depression symptoms- one with a very low level of depression and the other with a higher level of depression. Conclusions: Findings indicate that at least intermediate HD progression might be associated with different levels of depression. Depression is one of the few symptoms that is treatable in HD and has implications for clinical care. Identification of potential depression subtypes may also help to select appropriate patients for clinical trials.

Published
2015
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43. Prefrontal cortex white matter tracts in prodromal Huntington disease

Author

Matsui, JT, Vaidya, JG, Wassermann, D, Kim, RE, Magnotta, VA, Johnson, HJ, Paulsen, JS, Isabella De Soriano, Shadrick, C, Miller, A, Edmond Chiu, Preston, J, Goh, A, Antonopoulos, S, Loi, S, Chua, P, Komiti, A, Lynn Raymond, Decolongon, J, Fan, M, Coleman, A, Christopher, AR, Varvaris, M, Ong, M, Yoritomo, N, Mallonee, WM, Suter, G, Samii, A, Freney, EP, Macaraeg, A, Jones, R, Wood-Siverio, C, Factor, SA, Barker, RA, Mason, S, Guzman, NV, McCusker, E, Griffith, J, Loy, C, McMillan, J, Gunn, D, Orth, M, Sübmuth, S, Barth, K, Trautmann, S, Schwenk, D, Eschenbach, C, Quaid, K, Wesson, M, Wojcieszek, J, Guttman, M, Sheinberg, A, Law, A, Karmalkar, I, Perlman, S, Clemente, B, Geschwind, MD, Sha, S, Winer, J, Satris, G, Warner, T, Burrows, M, Rosser, A, Price, K, Hunt, S, Marshall, F, Chesire, A, Wodarski, M, Hickey, C, Panegyres, P, Lee, J, Tedesco, M, Maxwell, B, Perlmutter, J, Barton, S, Smith, S, Miedzybrodzka, Z, Rae, D, Vaughan, V, D'Alessandro, M, Craufurd, D, Bek, J, Howard, E, Mazzoni, P, Marder, K, Wasserman, P, Kumar, R, Erickson, D, Reeves, C, Nickels, B, Wheelock, V, Kjer, L, and Martin, A

Abstract

© 2015 Wiley Periodicals, Inc. Huntington disease (HD) is most widely known for its selective degeneration of striatal neurons but there is also growing evidence for white matter (WM) deterioration. The primary objective of this research was to conduct a large-scale analysis using multisite diffusion-weighted imaging (DWI) tractography data to quantify diffusivity properties along major prefrontal cortex WM tracts in prodromal HD. Fifteen international sites participating in the PREDICT-HD study collected imaging and neuropsychological data on gene-positive HD participants without a clinical diagnosis (i.e., prodromal) and gene-negative control participants. The anatomical prefrontal WM tracts of the corpus callosum (PFCC), anterior thalamic radiations (ATRs), inferior fronto-occipital fasciculi (IFO), and uncinate fasciculi (UNC) were identified using streamline tractography of DWI. Within each of these tracts, tensor scalars for fractional anisotropy, mean diffusivity, radial diffusivity, and axial diffusivity coefficients were calculated. We divided prodromal HD subjects into three CAG-age product (CAP) groups having Low, Medium, or High probabilities of onset indexed by genetic exposure. We observed significant differences in WM properties for each of the four anatomical tracts for the High CAP group in comparison to controls. Additionally, the Medium CAP group presented differences in the ATR and IFO in comparison to controls. Furthermore, WM alterations in the PFCC, ATR, and IFO showed robust associations with neuropsychological measures of executive functioning. These results suggest long-range tracts essential for cross-region information transfer show early vulnerability in HD and may explain cognitive problems often present in the prodromal stage.

Published
2015
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44. Multivariate prediction of motor diagnosis in Huntington's disease: 12 years of PREDICT-HD

Author

Long, JD, Paulsen, JS, Soriano, ID, Shadrick, C, Miller, A, Chiu, E, Preston, J, Goh, A, Antonopoulos, S, Loi, S, Chua, P, Komiti, A, Raymond, L, Decolongon, J, Fan, M, Coleman, A, Ross, CA, Varvaris, M, Ong, M, Yoritomo, N, Mallonee, WM, Suter, G, Samii, A, Freney, EP, Macaraeg, A, Jones, R, Wood-Siverio, C, Factor, SA, Barker, RA, Mason, S, Guzman, NV, McCusker, E, Griffith, J, Loy, C, McMillan, J, Gunn, D, Orth, M, Submuth, S, Barth, K, Trautmann, S, Schwenk, D, Eschenbach, C, Quaid, K, Wesson, M, Wojcieszek, J, Guttman, M, Sheinberg, A, Law, A, Karmalkar, I, Perlman, S, Clemente, B, Geschwind, MD, Sha, S, Winer, J, Satris, G, Warner, T, Burrows, M, Rosser, A, Price, K, Hunt, S, Marshall, F, Chesire, A, Wodarski, M, Hickey, C, Panegyres, P, Lee, J, Tedesco, M, Maxwell, B, Perlmutter, J, Barton, S, Smith, S, Miedzybrodzka, Z, Rae, D, Vaughan, V, D'Alessandro, M, Craufurd, D, Bek, J, Howard, E, Mazzoni, P, Marder, K, Wasserman, P, Kumar, R, Erickson, D, Reeves, C, Nickels, B, Wheelock, V, Kjer, L, Martin, A, Farias, S, Martin, W, Suchowersky, O, King, P, Wieler, M, and Sran, S

Abstract

© 2015 The Authors. Background: It is well known in Huntington's disease that cytosine-adenine-guanine expansion and age at study entry are predictive of the timing of motor diagnosis. The goal of this study was to assess whether additional motor, imaging, cognitive, functional, psychiatric, and demographic variables measured at study entry increased the ability to predict the risk of motor diagnosis over 12 years. Methods: One thousand seventy-eight Huntington's disease gene-expanded carriers (64% female) from the Neurobiological Predictors of Huntington's Disease study were followed up for up to 12 y (mean=5, standard deviation=3.3) covering 2002 to 2014. No one had a motor diagnosis at study entry, but 225 (21%) carriers prospectively received a motor diagnosis. Analysis was performed with random survival forests, which is a machine learning method for right-censored data. Results: Adding 34 variables along with cytosine-adenine-guanine and age substantially increased predictive accuracy relative to cytosine-adenine-guanine and age alone. Adding six of the common motor and cognitive variables (total motor score, diagnostic confidence level, Symbol Digit Modalities Test, three Stroop tests) resulted in lower predictive accuracy than the full set, but still had twice the 5-y predictive accuracy than when using cytosine-adenine-guanine and age alone. Additional analysis suggested interactions and nonlinear effects that were characterized in a post hoc Cox regression model. Conclusions: Measurement of clinical variables can substantially increase the accuracy of predicting motor diagnosis over and above cytosine-adenine-guanine and age (and their interaction). Estimated probabilities can be used to characterize progression level and aid in future studies' sample selection.

Published
2015
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45. Intact working memory in non-manifesting LRRK2 carriers--an fMRI study

Author

Thaler, A., Helmich, R.C.G., Or-Borichev, A., Nuenen, B.F. van, Shapira-Lichter, I., Gurevich, T., Orr-Urtreger, A., Marder, K., Bressman, S., Bloem, B.R., Giladi, N., Hendler, T., Mirelman, A., Thaler, A., Helmich, R.C.G., Or-Borichev, A., Nuenen, B.F. van, Shapira-Lichter, I., Gurevich, T., Orr-Urtreger, A., Marder, K., Bressman, S., Bloem, B.R., Giladi, N., Hendler, T., and Mirelman, A.

Abstract

Contains fulltext : 167889.pdf (publisher's version ) (Closed access), Cognitive impairments are prevalent in patients with Parkinson's disease. Mutations in the leucine-rich repeat kinase 2 (LRRK2) gene are the most common cause of genetic Parkinsonism. Non-manifesting carriers of the G2019S mutation in the LRRK2 gene were found to have lower executive functions as measured by the Stroop task. This exploratory study aimed to assess whether the cognitive impairment in non-manifesting carriers is specific for executive functions or includes other cognitive domains such as working memory. We recruited 77 non-manifesting first-degree relatives of Parkinson's disease patients (38 carriers). A block-design fMRI N-back task, with 0-back, 2-back and 3-back conditions, was used in order to assess working memory. Participants were well matched on the Montreal Cognitive Assessment, University of Pennsylvania Smell Identification Test, Unified Parkinson's Disease Rating Scale part III, digit span, age, gender and Beck Depression Inventory. The task achieved the overall expected effect in both groups with longer reaction times and lower accuracy rates with increasing task demands. However, no whole-brain or region-of-interest between-groups differences were found on any of the task conditions. These results indicate that non-manifesting carriers of the G2019S mutation in the LRRK2 gene have a specific cognitive profile with executive functions, as assessed by the Stroop task, demonstrating significant impairment but with working memory, as assessed with the N-back task, remaining relatively intact. These finding shed light on the pre-motor cognitive changes in this unique 'at risk' population and should enable more focused cognitive assessments of these cohorts.

Published
2016

47. Clinical and biomarker changes in premanifest Huntington disease show trial feasibility: a decade of the PREDICT-HD study

Author

Paulsen, J. S., Johnson, H. J., Aylward, E. H., Ross, C. A., Williams, J. K., Nance, M. A., Erwin, C. J., Westervelt, H. J., Harrington, D. L., Bockholt, H. J., Zhang, Y., McCusker, E. A., Chiu, E. M., Panegyres, P. K., Cross, S., Ryan, P., Epping, E. A., Preston, J., Goh, A., Antonopoulos, S., Loi, S., Raymond, L., Decolongon, J., Fan, M., Coleman, A., Mallone, W. M., Suter, G., Varvaris, M., Yoritomo, N., Griffith, J., Loy, C., Gunn, D., Guttman, M., Sheinberg, A., Law, A., Quaid, K., Wesson, M., Wojcieszek, J., Perlmutter, J., Barton, S., Smith, S., Barker, R. A., Mason, S., Guzman, N. V., Perlman, S., Clemente, B., Jones, R., Wood-Siverio, C., Factor, S. A., Samii, A., Macaraeg, A., Lee, J., Tedesco, M., Maxwell, B., Kumar, R., Erickson, D., Nickels, B., Marshall, F., Chesire, A., Wodarski, M., Hickey, C., Geschwind, M. D., Sha, S., Satris, G., Ahmed, A., Reece, C., Bura, A., Mourany, L., Pillai, J., Mazzoni, P., Marder, K., Wasserman, P., Craufurd, D., Bek, J., Howard, E., Warner, T., Burrows, M., Orth, M., Süßmuth, S., Barth, K., Trautmann, S., Schwenk, D., Eschenbach, C., Wheelock, V., Kjer, L., Martin, A., Farias, S., Miedzybrodzka, Z., Rae, D., D'Alessandro, M., Suchowersky, O., Chua, P., Komiti, A., Rosas, D., Rosser, Anne Elizabeth, Price, K., Hunt, S., Jankovic, J., Ondo, W., Martin, W., King, P., Wieler, M., Sran, S., de Yébenes, J. G., Dubinsky, R., and PREDICT-HD Investigators and Coordinators of the Huntington Study Group

Subjects
Aging, Pediatrics, medicine.medical_specialty, PREDICT-HD, Cognitive Neuroscience, Disease, Q1, Developmental psychology, lcsh:RC321-571, outcome measures, medicine, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Original Research, clinical trials, business.industry, Outcome measures, premanifest, Cognition, R1, 3. Good health, Natural history, Clinical trial, Huntington Disease, Cohort, Neurodegenerative disorders, Biomarker (medicine), Observational study, business, Neuroscience, Natural History
Abstract

There is growing consensus that intervention and treatment of Huntington disease (HD) should occur at the earliest stage possible. Various early-intervention methods for this fatal neurodegenerative disease have been identified, but preventive clinical trials for HD are limited by a lack of knowledge of the natural history of the disease and a dearth of appropriate outcome measures. Objectives of the current study are to document the natural history of premanifest HD progression in the largest cohort ever studied and to develop a battery of imaging and clinical markers of premanifest HD progression that can be used as outcome measures in preventive clinical trials. Neurobiological predictors of Huntington's disease is a 32-site, international, observational study of premanifest HD, with annual examination of 1013 participants with premanifest HD and 301 gene-expansion negative controls between 2001 and 2012. Findings document 39 variables representing imaging, motor, cognitive, functional, and psychiatric domains, showing different rates of decline between premanifest HD and controls. Required sample size and models of premanifest HD are presented to inform future design of clinical and preclinical research. Preventive clinical trials in premanifest HD with participants who have a medium or high probability of motor onset are calculated to be as resource-effective as those conducted in diagnosed HD and could interrupt disease 7-12 years earlier. Methods and measures for preventive clinical trials in premanifest HD more than a dozen years from motor onset are also feasible. These findings represent the most thorough documentation of a clinical battery for experimental therapeutics in stages of premanifest HD, the time period for which effective intervention may provide the most positive possible outcome for patients and their families affected by this devastating disease.

Published
2014
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48. Regionally selective atrophy of subcortical structures in prodromal HD as revealed by statistical shape analysis

Author

Younes, L, Ratnanather, JT, Brown, T, Aylward, E, Nopoulos, P, Johnson, H, Magnotta, VA, Paulsen, JS, Margolis, RL, Albin, RL, Miller, MI, Ross, CA, Wassink, T, Cross, S, Kimble, M, Ryan, P, Epping, EA, Chiu, E, Yastrubetskaya, O, Preston, J, Goh, A, Psych, D, Antonopoulos, S, Loi, S, Chua, P, Komiti, A, Raymond, L, Decolongon, J, Varvaris, M, Mallonee, WM, Suter, G, Samii, A, Macaraeg, A, Jones, R, Wood-Siverio, C, Factor, SA, Testa, C, Barker, RA, Mason, S, McCusker, E, Griffith, J, Loy, C, Gunn, D, Orth, M, Sübmuth, S, Barth, K, Trautmann, S, Quaid, K, Wesson, M, Wojcieszek, J, Guttman, M, Sheinberg, A, Karmalkar, I, Perlman, S, Clemente, B, Geschwind, MD, Kang, G, Satris, G, Warner, T, Burrows, M, Rosser, A, Price, K, Hunt, S, Marshall, F, Chesire, A, Wodarski, M, Hickey, C, Panegyres, P, Lee, J, Andrew, S, Perlmutter, J, Barton, S, Schmidt, A, Miedzybrodzka, Z, Rae, D, D'Alessandro, M, Craufurd, D, Bek, J, Howard, E, Mazzoni, P, Marder, K, Wasserman, P, Kumar, R, Erickson, D, Wheelock, V, Tempkin, T, Kjer, L, Martin, W, King, P, Wieler, M, Sran, S, Suchowersky, O, and Ahmed, A

Subjects
nervous system
Abstract

Huntington disease (HD) is a neurodegenerative disorder that involves preferential atrophy in the striatal complex and related subcortical nuclei. In this article, which is based on a dataset extracted from the PREDICT-HD study, we use statistical shape analysis with deformation markers obtained through "Large Deformation Diffeomorphic Metric Mapping" of cortical surfaces to highlight specific atrophy patterns in the caudate, putamen, and globus pallidus, at different prodromal stages of the disease. On the basis of the relation to cortico-basal ganglia circuitry, we propose that statistical shape analysis, along with other structural and functional imaging studies, may help expand our understanding of the brain circuitry affected and other aspects of the neurobiology of HD, and also guide the most effective strategies for intervention. © 2012 Wiley Periodicals, Inc.

Published
2014
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49. Tracking motor impairments in the progression of Huntington's disease

Author

Long, JD, Paulsen, JS, Marder, K, Zhang, Y, Kim, JI, Mills, JA, Cross, S, Ryan, P, Epping, EA, Vik, S, Chiu, E, Preston, J, Goh, A, Antonopoulos, S, Loi, S, Chua, P, Komiti, A, Raymond, L, Decolongon, J, Fan, M, Coleman, A, Ross, CA, Varvaris, M, Yoritomo, N, Mallonee, WM, Suter, G, Samii, A, Macaraeg, A, Jones, R, Wood-Siverio, C, Factor, SA, Barker, RA, Mason, S, Guzman, NV, McCusker, E, Griffith, J, Loy, C, Gunn, D, Orth, M, Sübmuth, S, Barth, K, Trautmann, S, Schwenk, D, Eschenbach, C, Quaid, K, Wesson, M, Wojcieszek, J, Guttman, M, Sheinberg, A, Law, A, Perlman, S, Clemente, B, Geschwind, MD, Sha, S, Satris, G, Warner, T, Burrows, M, Rosser, A, Price, K, Hunt, S, Marshall, F, Chesire, A, Wodarski, M, Hickey, C, Panegyres, P, Lee, J, Tedesco, M, Maxwell, B, Perlmutter, J, Barton, S, Smith, S, Miedzybrodzka, Z, Rae, D, D'Alessandro, M, Craufurd, D, Bek, J, Howard, E, Mazzoni, P, Wasserman, P, Kumar, R, Erickson, D, Nickels, B, Wheelock, V, Kjer, L, Martin, A, Farias, S, Martin, W, King, P, Wieler, M, Sran, S, Suchowersky, O, Ahmed, A, Rao, S, Reece, C, Bura, A, and Mourany, L

Abstract

The Unified Huntington's Disease Rating Scale is used to characterize motor impairments and establish motor diagnosis. Little is known about the timing of diagnostic confidence level categories and the trajectory of motor impairments during the prodromal phase. Goals of this study were to estimate the timing of categories, model the prodromal trajectory of motor impairments, estimate the rate of motor impairment change by category, and provide required sample size estimates for a test of efficacy in clinical trials. In total, 1010 gene-expanded participants from the Neurobiological Predictors of Huntington's Disease (PREDICT-HD) trial were analyzed. Accelerated failure time models were used to predict the timing of categories. Linear mixed effects regression was used to model the longitudinal motor trajectories. Age and length of gene expansion were incorporated into all models. The timing of categories varied significantly by gene expansion, with faster progression associated with greater expansion. For the median expansion, the third diagnostic confidence level category was estimated to have a first occurrence 1.5 years before diagnosis, and the second and first categories were estimated to occur 6.75 years and 19.75 years before diagnosis, respectively. Motor impairments displayed a nonlinear prodromal course. The motor impairment rate of change increased as the diagnostic confidence level increased, with added acceleration for higher progression scores. Motor items can detect changes in motor impairments before diagnosis. Given a sufficiently high progression score, there is evidence that the diagnostic confidence level can be used for prodromal staging. Implications for Huntington's disease research and the planning of clinical trials of efficacy are discussed. © 2013 International Parkinson and Movement Disorder Society.

Published
2014
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50. Clinical and biomarker changes in premanifest Huntington disease show trial feasibility: A decade of the PREDICT-HD study

Author

Paulsen, JS, Long, JD, Johnson, HJ, Aylward, EH, Ross, CA, Williams, JK, Nance, MA, Erwin, CJ, Westervelt, HJ, Harrington, DL, Bockholt, HJ, Zhang, Y, McCusker, EA, Chiu, EM, Panegyres, PK, Cross, S, Ryan, P, Epping, EA, Preston, J, Goh, A, Antonopoulos, S, Loi, S, Raymond, L, Decolongon, J, Fan, M, Coleman, A, Mallone, WM, Suter, G, Varvaris, M, Yoritomo, N, Griffith, J, Loy, C, Gunn, D, Guttman, M, Sheinberg, A, Law, A, Quaid, K, Wesson, M, Wojcieszek, J, Perlmutter, J, Barton, S, Smith, S, Barker, RA, Mason, S, Guzman, NV, Perlman, S, Clemente, B, Jones, R, Wood-Siverio, C, Factor, SA, Samii, A, Macaraeg, A, Lee, J, Tedesco, M, Maxwell, B, Kumar, R, Erickson, D, Nickels, B, Marshall, F, Chesire, A, Wodarski, M, Hickey, C, Geschwind, MD, Sha, S, Satris, G, Ahmed, A, Reece, C, Bura, A, Mourany, L, Pillai, J, Mazzoni, P, Marder, K, Wasserman, P, Craufurd, D, Bek, J, Howard, E, Warner, T, Burrows, M, Orth, M, Süßmuth, S, Barth, K, Trautmann, S, Schwenk, D, Eschenbach, C, Wheelock, V, Kjer, L, Martin, A, Farias, S, Miedzybrodzka, Z, and Rae, D

Abstract

There is growing consensus that intervention and treatment of Huntington disease (HD) should occur at the earliest stage possible. Various early-intervention methods for this fatal neurodegenerative disease have been identified, but preventive clinical trials for HD are limited by a lack of knowledge of the natural history of the disease and a dearth of appropriate outcome measures. Objectives of the current study are to document the natural history of premanifest HD progression in the largest cohort ever studied and to develop a battery of imaging and clinical markers of premanifest HD progression that can be used as outcome measures in preventive clinical trials. Neurobiological predictors of Huntington's disease is a 32-site, international, observational study of premanifest HD, with annual examination of 1013 participants with premanifest HD and 301 gene-expansion negative controls between 2001 and 2012. Findings document 39 variables representing imaging, motor, cognitive, functional, and psychiatric domains, showing different rates of decline between premanifest HD and controls. Required sample size and models of premanifest HD are presented to inform future design of clinical and preclinical research. Preventive clinical trials in premanifest HD with participants who have a medium or high probability of motor onset are calculated to be as resource-effective as those conducted in diagnosed HD and could interrupt disease 7-12 years earlier. Methods and measures for preventive clinical trials in premanifest HD more than a dozen years from motor onset are also feasible. These findings represent the most thorough documentation of a clinical battery for experimental therapeutics in stages of premanifest HD, the time period for which effective intervention may provide the most positive possible outcome for patients and their families affected by this devastating disease.© 2014 Paulsen, Long, Johnson, Aylward, Ross, Williams, Nance, Erwin, Westervelt, Harrington, Bockholt, Zhang, McCusker, Chiu, Panegyres and PREDICT-HD Investigators and Coordinators of the Huntington Study Group.

Published
2014
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