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2. Investigation of the genetic aetiology of Lewy body diseases with and without dementia

Author

Wu, Lesley Yue, Real, Raquel, Martinez-Carrasco, Alejandro, Chia, Ruth, Lawton, Michael A, Shoai, Maryam, Bresner, Catherine, Blauwendraat, Cornelis, Singleton, Andrew B, Ryten, Mina, Abramzon, Yevgeniya, Ahmed, Sarah, Alba, Camille, Albert, Marilyn S, Bacikova, Dagmar, Barrett, Matthew J, Beach, Thomas G, Bennett, David A, Besser, Lilah M, Bigio, Eileen H, Boeve, Bradley F, Bohannan, Ryan C, Caraway, Chad A, Palma, Jose-Alberto, Dalgard, Clifton L, Dickson, Dennis, Ding, Jinhui, Faber, Kelley, Ferman, Tanis, Ferrucci, Luigi, Flanagan, Margaret E, Foroud, Tatiana M, Ghetti, Bernardino, Gibbs, J Raphael, Goate, Alison, Goldstein, David, Graff-Radford, Neill R, Hu, Heng-Chen, Hupalo, Daniel, Kaiser, Scott M, Kaufmann, Horacio, Kim, Ronald C, Klein, Gregory, Kukull, Walter, Kuzma, Amanda, Leverenz, James, Lopez, Grisel, Mao, Qinwen, Martinez-McGrath, Elisa, Masliah, Eliezer, Monuki, Ed, Newell, Kathy L, Norcliffe-Kaufmann, Lucy, Perkins, Matthew, Pletnikova, Olga, Renton, Alan E, Resnick, Susan M, Ross, Owen A, Sabir, Marya S, Scherzer, Clemens R, Scholz, Sonja W, Serrano, Geidy, Shakkotai, Vikram, Sidransky, Ellen, Tanaka, Toshiko, Tayebi, Nahid, Traynor, Bryan J, Troncoso, Juan C, Viollet, Coralie, Walton, Ronald L, Woltjer, Randy, Wszolek, Zbigniew K, Black, Sandra E, Gan-Or, Ziv, Keith, Julia, Masellis, Mario, Rogaeva, Ekaterina, Aarsland, Dag, Al-Sarraj, Safa, Attems, Johannes, Ferrari, Raffaele, Gentleman, Steve, Hardy, John A, Hodges, Angela K, Love, Seth, McKeith, Ian, Morris, Christopher M, Morris, Huw R, Palmer, Laura, Pickering-Brown, Stuart, Reynolds, Regina H, Thomas, Alan J, Tilley, Bension S, Troakes, Claire, Brett, Francesca, Brice, Alexis, and Duyckaerts, Charles

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical Sciences, Neurosciences, Psychology, Neurodegenerative, Genetics, Prevention, Aging, Lewy Body Dementia, Brain Disorders, Dementia, Alzheimer's Disease Related Dementias (ADRD), Parkinson's Disease, Human Genome, Acquired Cognitive Impairment, Clinical Research, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), 2.1 Biological and endogenous factors, Neurological, International Lewy Body Dementia Genomics Consortium, APOE, Lewy body diseases, dementia, genome-wide association studies, Clinical sciences, Biological psychology
Abstract

Up to 80% of Parkinson's disease patients develop dementia, but time to dementia varies widely from motor symptom onset. Dementia with Lewy bodies presents with clinical features similar to Parkinson's disease dementia, but cognitive impairment precedes or coincides with motor onset. It remains controversial whether dementia with Lewy bodies and Parkinson's disease dementia are distinct conditions or represent part of a disease spectrum. The biological mechanisms underlying disease heterogeneity, in particular the development of dementia, remain poorly understood, but will likely be the key to understanding disease pathways and, ultimately, therapy development. Previous genome-wide association studies in Parkinson's disease and dementia with Lewy bodies/Parkinson's disease dementia have identified risk loci differentiating patients from controls. We collated data for 7804 patients of European ancestry from Tracking Parkinson's, The Oxford Discovery Cohort, and Accelerating Medicine Partnership-Parkinson's Disease Initiative. We conducted a discrete phenotype genome-wide association study comparing Lewy body diseases with and without dementia to decode disease heterogeneity by investigating the genetic drivers of dementia in Lewy body diseases. We found that risk allele rs429358 tagging APOEe4 increases the odds of developing dementia, and that rs7668531 near the MMRN1 and SNCA-AS1 genes and an intronic variant rs17442721 tagging LRRK2 G2019S on chromosome 12 are protective against dementia. These results should be validated in autopsy-confirmed cases in future studies.

Published
2024

3. Multi-ancestry meta-analysis and fine-mapping in Alzheimer’s disease

Author

Lake, Julie, Warly Solsberg, Caroline, Kim, Jonggeol Jeffrey, Acosta-Uribe, Juliana, Makarious, Mary B, Li, Zizheng, Levine, Kristin, Heutink, Peter, Alvarado, Chelsea X, Vitale, Dan, Kang, Sarang, Gim, Jungsoo, Lee, Kun Ho, Pina-Escudero, Stefanie D, Ferrucci, Luigi, Singleton, Andrew B, Blauwendraat, Cornelis, Nalls, Mike A, Yokoyama, Jennifer S, and Leonard, Hampton L

Subjects
Biomedical and Clinical Sciences, Biological Psychology, Clinical and Health Psychology, Clinical Sciences, Psychology, Brain Disorders, Aging, Alzheimer's Disease, Acquired Cognitive Impairment, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Neurodegenerative, Human Genome, Genetics, Dementia, Aetiology, 2.1 Biological and endogenous factors, Humans, Genetic Predisposition to Disease, Genome-Wide Association Study, Alzheimer Disease, Genotype, Black or African American, Polymorphism, Single Nucleotide, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract

Genome-wide association studies (GWAS) of Alzheimer's disease are predominantly carried out in European ancestry individuals despite the known variation in genetic architecture and disease prevalence across global populations. We leveraged published GWAS summary statistics from European, East Asian, and African American populations, and an additional GWAS from a Caribbean Hispanic population using previously reported genotype data to perform the largest multi-ancestry GWAS meta-analysis of Alzheimer's disease and related dementias to date. This method allowed us to identify two independent novel disease-associated loci on chromosome 3. We also leveraged diverse haplotype structures to fine-map nine loci with a posterior probability >0.8 and globally assessed the heterogeneity of known risk factors across populations. Additionally, we compared the generalizability of multi-ancestry- and single-ancestry-derived polygenic risk scores in a three-way admixed Colombian population. Our findings highlight the importance of multi-ancestry representation in uncovering and understanding putative factors that contribute to risk of Alzheimer's disease and related dementias.

Published
2023

4. Impact of the Dopamine System on Long‐Term Cognitive Impairment in Parkinson Disease: An Exploratory Study

Author

Weintraub, Daniel, Picillo, Marina, Cho, Hyunkeun Ryan, Caspell‐Garcia, Chelsea, Blauwendraat, Cornelis, Brown, Ethan G, Chahine, Lana M, Coffey, Christopher S, Dobkin, Roseanne D, Foroud, Tatiana, Galasko, Doug, Kieburtz, Karl, Marek, Kenneth, Merchant, Kalpana, Mollenhauer, Brit, Poston, Kathleen L, Simuni, Tanya, Siderowf, Andrew, Singleton, Andrew, Seibyl, John, Tanner, Caroline M, and Initiative, the Parkinson's Progression Markers

Subjects
Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Mental Health, Neurosciences, Neurodegenerative, Parkinson's Disease, Aging, Prevention, Dementia, Behavioral and Social Science, Clinical Research, Brain Disorders, Acquired Cognitive Impairment, Aetiology, 2.3 Psychological, social and economic factors, Neurological, Mental health, dopamine, cognition, Parkinson's disease, Parkinson's Progression Markers Initiative, Clinical sciences
Abstract

BackgroundLittle is known about the impact of the dopamine system on development of cognitive impairment (CI) in Parkinson disease (PD).ObjectivesWe used data from a multi-site, international, prospective cohort study to explore the impact of dopamine system-related biomarkers on CI in PD.MethodsPD participants were assessed annually from disease onset out to 7 years, and CI determined by applying cut-offs to four measures: (1) Montreal Cognitive Assessment; (2) detailed neuropsychological test battery; (3) Movement Disorder Society-Unified Parkinson's Disease Rating Scale (MDS-UPDRS) cognition score; and (4) site investigator diagnosis of CI (mild cognitive impairment or dementia). The dopamine system was assessed by serial Iodine-123 Ioflupane dopamine transporter (DAT) imaging, genotyping, and levodopa equivalent daily dose (LEDD) recorded at each assessment. Multivariate longitudinal analyses, with adjustment for multiple comparisons, determined the association between dopamine system-related biomarkers and CI, including persistent impairment.ResultsDemographic and clinical variables associated with CI were higher age, male sex, lower education, non-White race, higher depression and anxiety scores and higher MDS-UPDRS motor score. For the dopamine system, lower baseline mean striatum dopamine transporter values (P range 0.003-0.005) and higher LEDD over time (P range

Published
2023

6. Multi-ancestry genome-wide association meta-analysis of Parkinson’s disease

Author

Kim, Jonggeol Jeffrey, Vitale, Dan, Otani, Diego Véliz, Lian, Michelle Mulan, Heilbron, Karl, Iwaki, Hirotaka, Lake, Julie, Solsberg, Caroline Warly, Leonard, Hampton, Makarious, Mary B., Tan, Eng-King, Singleton, Andrew B., Bandres-Ciga, Sara, Noyce, Alastair J., Blauwendraat, Cornelis, Nalls, Mike A., Foo, Jia Nee, and Mata, Ignacio

Published
2024
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7. The Foundational Data Initiative for Parkinson Disease: Enabling efficient translation from genetic maps to mechanism

Author

Bressan, Elisangela, Reed, Xylena, Bansal, Vikas, Hutchins, Elizabeth, Cobb, Melanie M, Webb, Michelle G, Alsop, Eric, Grenn, Francis P, Illarionova, Anastasia, Savytska, Natalia, Violich, Ivo, Broeer, Stefanie, Fernandes, Noémia, Sivakumar, Ramiyapriya, Beilina, Alexandra, Billingsley, Kimberley J, Berghausen, Joos, Pantazis, Caroline B, Pitz, Vanessa, Patel, Dhairya, Daida, Kensuke, Meechoovet, Bessie, Reiman, Rebecca, Courtright-Lim, Amanda, Logemann, Amber, Antone, Jerry, Barch, Mariya, Kitchen, Robert, Li, Yan, Dalgard, Clifton L, Center, The American Genome, Rizzu, Patrizia, Hernandez, Dena G, Hjelm, Brooke E, Nalls, Mike, Gibbs, J Raphael, Finkbeiner, Steven, Cookson, Mark R, Van Keuren-Jensen, Kendall, Craig, David W, Singleton, Andrew B, Heutink, Peter, and Blauwendraat, Cornelis

Subjects
Biological Sciences, Genetics, Stem Cell Research - Induced Pluripotent Stem Cell - Human, Stem Cell Research - Induced Pluripotent Stem Cell, Neurosciences, Stem Cell Research, Aging, Parkinson's Disease, Neurodegenerative, Brain Disorders, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Neurological, American Genome Center, Parkinson disease, dopaminergic neurons, genetic risk, induced pluripotent stem cell, omics single-cell RNA sequencing single-cell ATAC sequencing SNCA LRRK2 GBA1
Abstract

The Foundational Data Initiative for Parkinson Disease (FOUNDIN-PD) is an international collaboration producing fundamental resources for Parkinson disease (PD). FOUNDIN-PD generated a multi-layered molecular dataset in a cohort of induced pluripotent stem cell (iPSC) lines differentiated to dopaminergic (DA) neurons, a major affected cell type in PD. The lines were derived from the Parkinson's Progression Markers Initiative study, which included participants with PD carrying monogenic PD variants, variants with intermediate effects, and variants identified by genome-wide association studies and unaffected individuals. We generated genetic, epigenetic, regulatory, transcriptomic, and longitudinal cellular imaging data from iPSC-derived DA neurons to understand molecular relationships between disease-associated genetic variation and proximate molecular events. These data reveal that iPSC-derived DA neurons provide a valuable cellular context and foundational atlas for modeling PD genetic risk. We have integrated these data into a FOUNDIN-PD data browser as a resource for understanding the molecular pathogenesis of PD.

Published
2023

8. A tribute to Gary Bouma

Author

Lentini, Pete, Halafoff, Anna, Singleton, Andrew, Barton, Greg, Maddox, Marion, McPhillips, Kathleen, and Posamai-Inesedy, Alphia

Published
2022

9. LRRK2 and GBA1 variant carriers have higher urinary bis(monacylglycerol) phosphate concentrations in PPMI cohorts

Author

Merchant, Kalpana M, Simuni, Tanya, Fedler, Janel, Caspell-Garcia, Chelsea, Brumm, Michael, Nudelman, Kelly NH, Tengstrandt, Elizabeth, Hsieh, Frank, Alcalay, Roy N, Coffey, Christopher, Chahine, Lana, Foroud, Tatiana, Singleton, Andrew, Weintraub, Daniel, Hutten, Samantha, Sherer, Todd, Mollenhauer, Brit, Siderowf, Andrew, Tanner, Caroline, and Marek, Ken

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Brain Disorders, Neurodegenerative, Neurosciences, Parkinson's Disease, Aetiology, 2.1 Biological and endogenous factors, Neurological, the Parkinson’s Progression Markers Initiative, Biological psychology, Cognitive and computational psychology
Abstract

We quantified concentrations of three isoforms of the endolysosomal lipid, bis(monoacylglycerol) phosphate (BMP) in the urine of deeply phenotyped cohorts in the Parkinson's Progression Markers Initiative: LRRK2 G2019S PD (N = 134) and non-manifesting carriers (NMC) (G2019S+ NMC; N = 182), LRRK2 R1441G PD (N = 15) and R1441G+ NMC (N = 15), GBA1 N409S PD (N = 76) and N409S+ NMC (N = 178), sporadic PD (sPD, N = 379) and healthy controls (HC) (N = 190). The effects of each mutation and disease status were analyzed using nonparametric methods. Longitudinal changes in BMP levels were analyzed using linear mixed models. At baseline, all LRRK2 carriers had 3-7× higher BMP levels compared to HC, irrespective of the disease status. GBA1 N409S carriers also showed significant, albeit smaller, elevation (~30-40%) in BMP levels compared to HC. In LRRK2 G2019S PD, urinary BMP levels remained stable over two years. Furthermore, baseline BMP levels did not predict disease progression as measured by striatal DaT imaging, MDS-UPDRS III Off, or MoCA in any of the cohorts. These data support the utility of BMP as a target modulation biomarker in therapeutic trials of genetic and sPD but not as a prognostic or disease progression biomarker.

Published
2023

11. A CRISPRi/a platform in human iPSC-derived microglia uncovers regulators of disease states

Author

Dräger, Nina M, Sattler, Sydney M, Huang, Cindy Tzu-Ling, Teter, Olivia M, Leng, Kun, Hashemi, Sayed Hadi, Hong, Jason, Aviles, Giovanni, Clelland, Claire D, Zhan, Lihong, Udeochu, Joe C, Kodama, Lay, Singleton, Andrew B, Nalls, Mike A, Ichida, Justin, Ward, Michael E, Faghri, Faraz, Gan, Li, and Kampmann, Martin

Subjects
Biological Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Stem Cell Research - Embryonic - Human, Stem Cell Research - Induced Pluripotent Stem Cell, Neurodegenerative, Biotechnology, Genetics, Human Genome, Stem Cell Research, Regenerative Medicine, 2.1 Biological and endogenous factors, Aetiology, Generic health relevance, Brain, Clustered Regularly Interspaced Short Palindromic Repeats, Humans, Induced Pluripotent Stem Cells, Microglia, Phagocytosis, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract

Microglia are emerging as key drivers of neurological diseases. However, we lack a systematic understanding of the underlying mechanisms. Here, we present a screening platform to systematically elucidate functional consequences of genetic perturbations in human induced pluripotent stem cell-derived microglia. We developed an efficient 8-day protocol for the generation of microglia-like cells based on the inducible expression of six transcription factors. We established inducible CRISPR interference and activation in this system and conducted three screens targeting the 'druggable genome'. These screens uncovered genes controlling microglia survival, activation and phagocytosis, including neurodegeneration-associated genes. A screen with single-cell RNA sequencing as the readout revealed that these microglia adopt a spectrum of states mirroring those observed in human brains and identified regulators of these states. A disease-associated state characterized by osteopontin (SPP1) expression was selectively depleted by colony-stimulating factor-1 (CSF1R) inhibition. Thus, our platform can systematically uncover regulators of microglial states, enabling their functional characterization and therapeutic targeting.

Published
2022

12. Author Correction: Elucidating causative gene variants in hereditary Parkinson’s disease in the Global Parkinson’s Genetics Program (GP2)

Author

Lange, Lara M., Avenali, Micol, Ellis, Melina, Illarionova, Anastasia, Keller Sarmiento, Ignacio J., Tan, Ai-Huey, Madoev, Harutyun, Galandra, Caterina, Junker, Johanna, Roopnarain, Karisha, Solle, Justin, Wegel, Claire, Fang, Zih-Hua, Heutink, Peter, Kumar, Kishore R., Lim, Shen-Yang, Valente, Enza Maria, Nalls, Mike, Blauwendraat, Cornelis, Singleton, Andrew, Mencacci, Niccolo, Lohmann, Katja, and Klein, Christine

Published
2023
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13. Defining the causes of sporadic Parkinson’s disease in the global Parkinson’s genetics program (GP2)

Author

Towns, Clodagh, Richer, Madeleine, Jasaityte, Simona, Stafford, Eleanor J., Joubert, Julie, Antar, Tarek, Martinez-Carrasco, Alejandro, Makarious, Mary B., Casey, Bradford, Vitale, Dan, Levine, Kristin, Leonard, Hampton, Pantazis, Caroline B., Screven, Laurel A., Hernandez, Dena G., Wegel, Claire E., Solle, Justin, Nalls, Mike A., Blauwendraat, Cornelis, Singleton, Andrew B., Tan, Manuela M. X., Iwaki, Hirotaka, and Morris, Huw R.

Published
2023
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14. Genome-wide case-only analysis of gene-gene interactions with known Parkinson’s disease risk variants reveals link between LRRK2 and SYT10

Author

Aleknonytė-Resch, Milda, Trinh, Joanne, Leonard, Hampton, Delcambre, Sylvie, Leitão, Elsa, Lai, Dongbing, Smajić, Semra, Orr-Urtreger, Avi, Thaler, Avner, Blauwendraat, Cornelis, Sharma, Arunabh, Makarious, Mary B., Kim, Jonggeol Jeff, Lake, Julie, Rahmati, Pegah, Freitag-Wolf, Sandra, Seibler, Philip, Foroud, Tatiana, Singleton, Andrew B., Grünewald, Anne, Kaiser, Frank, Klein, Christine, Krawczak, Michael, and Dempfle, Astrid

Published
2023
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15. Elucidating causative gene variants in hereditary Parkinson’s disease in the Global Parkinson’s Genetics Program (GP2)

Author

Lange, Lara M., Avenali, Micol, Ellis, Melina, Illarionova, Anastasia, Keller Sarmiento, Ignacio J., Tan, Ai-Huey, Madoev, Harutyun, Galandra, Caterina, Junker, Johanna, Roopnarain, Karisha, Solle, Justin, Wegel, Claire, Fang, Zih-Hua, Heutink, Peter, Kumar, Kishore R., Lim, Shen-Yang, Valente, Enza Maria, Nalls, Mike, Blauwendraat, Cornelis, Singleton, Andrew, Mencacci, Niccolo, Lohmann, Katja, and Klein, Christine

Published
2023
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16. Author Correction: The IPDGC/GP2 Hackathon - an open science event for training in data science, genomics, and collaboration using Parkinson’s disease data

Author

Leonard, Hampton L., Murtadha, Ruqaya, Martinez-Carrasco, Alejandro, Jama, Alina, Müller-Nedebock, Amica Corda, Gil-Martinez, Ana-Luisa, Illarionova, Anastasia, Moore, Anni, Bustos, Bernabe I., Jadhav, Bharati, Huxford, Brook, Storm, Catherine, Towns, Clodagh, Vitale, Dan, Chetty, Devina, Yu, Eric, Grenn, Francis P., Salazar, Gabriela, Rateau, Geoffrey, Iwaki, Hirotaka, Elsayed, Inas, Foote, Isabelle Francesca, Jansen van Rensburg, Zuné, Kim, Jonggeol Jeff, Yuan, Jie, Lake, Julie, Brolin, Kajsa, Senkevich, Konstantin, Wu, Lesley, Tan, Manuela M. X., Periñán, María Teresa, Makarious, Mary B., Ta, Michael, Pillay, Nikita Simone, Betancor, Oswaldo Lorenzo, Reyes-Pérez, Paula R., Alvarez Jerez, Pilar, Saini, Prabhjyot, al-Ouran, Rami, Sivakumar, Ramiya, Real, Raquel, Reynolds, Regina H., Hu, Ruifneg, Abrahams, Shameemah, Rao, Shilpa C., Antar, Tarek, Leal, Thiago Peixoto, Iankova, Vassilena, Scotton, William J., Song, Yeajin, Singleton, Andrew, Nalls, Mike A., Dey, Sumit, Bandres-Ciga, Sara, Blauwendraat, Cornelis, and Noyce, Alastair J.

Published
2023
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17. A proteogenomic view of Parkinson’s disease causality and heterogeneity

Author

Kaiser, Sergio, Zhang, Luqing, Mollenhauer, Brit, Jacob, Jaison, Longerich, Simonne, Del-Aguila, Jorge, Marcus, Jacob, Raghavan, Neha, Stone, David, Fagboyegun, Olumide, Galasko, Douglas, Dakna, Mohammed, Bilican, Bilada, Dovlatyan, Mary, Kostikova, Anna, Li, Jingyao, Peterson, Brant, Rotte, Michael, Sanz, Vinicius, Foroud, Tatiana, Hutten, Samantha J., Frasier, Mark, Iwaki, Hirotaka, Singleton, Andrew, Marek, Ken, Crawford, Karen, Elwood, Fiona, Messa, Mirko, and Serrano-Fernandez, Pablo

Published
2023
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18. Genome-wide association study using whole-genome sequencing identifies risk loci for Parkinson’s disease in Chinese population

Author

Pan, Hongxu, Liu, Zhenhua, Ma, Jinghong, Li, Yuanyuan, Zhao, Yuwen, Zhou, Xiaoxia, Xiang, Yaqin, Wang, Yige, Zhou, Xun, He, Runcheng, Xie, Yali, Zhou, Qiao, Yuan, Kai, Xu, Qian, Sun, Qiying, Wang, Junling, Yan, Xinxiang, Zhang, Hainan, Wang, Chunyu, Lei, Lifang, Liu, Weiguo, Wang, Xuejing, Ding, Xuebing, Wang, Tao, Xue, Zheng, Zhang, Zhentao, Chen, Ling, Wang, Qing, Liu, Yonghong, Tang, Jiayu, Zhang, Xuewei, Peng, Shifang, Wang, Chaodong, Ding, Jianqing, Liu, Chunfeng, Wang, Lijuan, Chen, Haibo, Shen, Lu, Jiang, Hong, Wu, Xinyin, Tan, Hongzhuan, Luo, Dan, Xiao, Shuiyuan, Chen, Xiang, Tan, Jieqiong, Hu, Zhengmao, Chen, Chao, Xia, Kun, Zhang, Zhuohua, Foo, Jia Nee, Blauwendraat, Cornelis, Nalls, Mike A., Singleton, Andrew B., Liu, Jun, Chan, Piu, Zheng, Houfeng, Li, Jinchen, Guo, Jifeng, Yang, Jian, and Tang, Beisha

Published
2023
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19. The IPDGC/GP2 Hackathon - an open science event for training in data science, genomics, and collaboration using Parkinson’s disease data

Author

Leonard, Hampton L., Murtadha, Ruqaya, Martinez-Carrasco, Alejandro, Jama, Alina, Müller-Nedebock, Amica Corda, Gil-Martinez, Ana-Luisa, Illarionova, Anastasia, Moore, Anni, Bustos, Bernabe I., Jadhav, Bharati, Huxford, Brook, Storm, Catherine, Towns, Clodagh, Vitale, Dan, Chetty, Devina, Yu, Eric, Grenn, Francis P., Salazar, Gabriela, Rateau, Geoffrey, Iwaki, Hirotaka, Elsayed, Inas, Foote, Isabelle Francesca, Jansen van Rensburg, Zuné, Kim, Jonggeol Jeff, Yuan, Jie, Lake, Julie, Brolin, Kajsa, Senkevich, Konstantin, Wu, Lesley, Tan, Manuela M. X., Periñán, María Teresa, Makarious, Mary B., Ta, Michael, Pillay, Nikita Simone, Betancor, Oswaldo Lorenzo, Reyes-Pérez, Paula R., Alvarez Jerez, Pilar, Saini, Prabhjyot, al-Ouran, Rami, Sivakumar, Ramiya, Real, Raquel, Reynolds, Regina H., Hu, Ruifneg, Abrahams, Shameemah, Rao, Shilpa C., Antar, Tarek, Leal, Thiago Peixoto, Iankova, Vassilena, Scotton, William J., Song, Yeajin, Singleton, Andrew, Nalls, Mike A., Dey, Sumit, Bandres-Ciga, Sara, Blauwendraat, Cornelis, and Noyce, Alastair J.

Published
2023
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20. Exploring the genetic and genomic connection underlying neurodegeneration with brain iron accumulation and the risk for Parkinson’s disease

Author

Alvarez Jerez, Pilar, Alcantud, Jose Luis, de los Reyes-Ramírez, Lucia, Moore, Anni, Ruz, Clara, Vives Montero, Francisco, Rodriguez-Losada, Noela, Saini, Prabhjyot, Gan-Or, Ziv, Alvarado, Chelsea X., Makarious, Mary B., Billingsley, Kimberley J., Blauwendraat, Cornelis, Noyce, Alastair J., Singleton, Andrew B., Duran, Raquel, and Bandres-Ciga, Sara

Published
2023
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21. Genome-wide analyses reveal a potential role for the MAPT, MOBP, and APOE loci in sporadic frontotemporal dementia

Author

Manzoni, Claudia, Kia, Demis A., Ferrari, Raffaele, Leonenko, Ganna, Costa, Beatrice, Saba, Valentina, Jabbari, Edwin, Tan, Manuela MX., Albani, Diego, Alvarez, Victoria, Alvarez, Ignacio, Andreassen, Ole A., Angiolillo, Antonella, Arighi, Andrea, Baker, Matt, Benussi, Luisa, Bessi, Valentina, Binetti, Giuliano, Blackburn, Daniel J., Boada, Merce, Boeve, Bradley F., Borrego-Ecija, Sergi, Borroni, Barbara, Bråthen, Geir, Brooks, William S., Bruni, Amalia C., Caroppo, Paola, Bandres-Ciga, Sara, Clarimon, Jordi, Colao, Rosanna, Cruchaga, Carlos, Danek, Adrian, de Boer, Sterre CM., de Rojas, Itziar, di Costanzo, Alfonso, Dickson, Dennis W., Diehl-Schmid, Janine, Dobson-Stone, Carol, Dols-Icardo, Oriol, Donizetti, Aldo, Dopper, Elise, Durante, Elisabetta, Ferrari, Camilla, Forloni, Gianluigi, Frangipane, Francesca, Fratiglioni, Laura, Kramberger, Milica G., Galimberti, Daniela, Gallucci, Maurizio, García-González, Pablo, Ghidoni, Roberta, Giaccone, Giorgio, Graff, Caroline, Graff-Radford, Neill R., Grafman, Jordan, Halliday, Glenda M., Hernandez, Dena G., Hjermind, Lena E., Hodges, John R., Holloway, Guy, Huey, Edward D., Illán-Gala, Ignacio, Josephs, Keith A., Knopman, David S., Kristiansen, Mark, Kwok, John B., Leber, Isabelle, Leonard, Hampton L., Libri, Ilenia, Lleo, Alberto, Mackenzie, Ian R., Madhan, Gaganjit K., Maletta, Raffaele, Marquié, Marta, Maver, Ales, Menendez-Gonzalez, Manuel, Milan, Graziella, Miller, Bruce L., Morris, Christopher M., Morris, Huw R., Nacmias, Benedetta, Newton, Judith, Nielsen, Jørgen E., Nilsson, Christer, Novelli, Valeria, Padovani, Alessandro, Pal, Suvankar, Pasquier, Florence, Pastor, Pau, Perneczky, Robert, Peterlin, Borut, Petersen, Ronald C., Piguet, Olivier, Pijnenburg, Yolande AL., Puca, Annibale A., Rademakers, Rosa, Rainero, Innocenzo, Reus, Lianne M., Richardson, Anna MT., Riemenschneider, Matthias, Rogaeva, Ekaterina, Rogelj, Boris, Rollinson, Sara, Rosen, Howard, Rossi, Giacomina, Rowe, James B., Rubino, Elisa, Ruiz, Agustin, Salvi, Erika, Sanchez-Valle, Raquel, Sando, Sigrid Botne, Santillo, Alexander F., Saxon, Jennifer A., Schlachetzki, Johannes CM., Scholz, Sonja W., Seelaar, Harro, Seeley, William W., Serpente, Maria, Sorbi, Sandro, Sordon, Sabrina, St George-Hyslop, Peter, Thompson, Jennifer C., Van Broeckhoven, Christine, Van Deerlin, Vivianna M., Van der Lee, Sven J., Van Swieten, John, Tagliavini, Fabrizio, van der Zee, Julie, Veronesi, Arianna, Vitale, Emilia, Waldo, Maria Landqvist, Yokoyama, Jennifer S., Nalls, Mike A., Momeni, Parastoo, Singleton, Andrew B., Hardy, John, and Escott-Price, Valentina

Published
2024
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22. Identification of genetic risk loci and causal insights associated with Parkinson's disease in African and African admixed populations: a genome-wide association study

Author

Okubadejo, Njideka, Ojo, Oluwadamilola, Abiodun, Oladunni, Achoru, Charles, Agabi, Osigwe, Agulanna, Uchechi, Akinyemi, Rufus, Ali, Mohammed, Ani-Osheku, Ifeyinwa, Arigbodi, Ohwotemu, Bello, Abiodun, Erameh, Cyril, Farombi, Temitope, Fawale, Michael, Imarhiagbe, Frank, Iwuozo, Emmanuel, Komolafe, Morenikeji, Nwani, Paul, Nwazor, Ernest, Nyandaiti, Yakub, Obiabo, Yahaya, Odeniyi, Olanike, Odiase, Francis, Ojini, Francis, Onwuegbuzie, Gerald, Osaigbovo, Godwin, Osemwegie, Nosakhare, Oshinaike, Olajumoke, Otubogun, Folajimi, Oyakhire, Shyngle, Ozomma, Simon, Samuel, Sarah, Taiwo, Funmilola, Wahab, Kolawole, Zubair, Yusuf, Gams Massi, Daniel, Gueumekane Bila lamou, Eric, Njamnshi Nfor, Leonard, Magnerou, Mélanie Annick, Fogang Fogoum, Yannick, Shalash, Ali, El-FawaI, Hassan, Khedr, Eman, Fawi, Gharib, A. Eltantawi, Mohamed, Salama, Mohamed, El-Jaafary, Shaimaa, Hamed, Sharifa, Tafesse Mengesha, Abenet, Alemayehu Ayele, Biniyam, Melka Oda, Dereje, Zenebe Zewde, Yared, Debebe Gelan, Yohanesse, AkpaIu, Albert, Charway-Felli, Augustina, Stephen Sarfo, Fred, Adjei, Patrick, Obese, Vida, Bocoum, Abdoulaye, Koita, Abdou, Oumar Guinto, Cheick, Coulibaly, Toumany, Maiga, Youssoufa, Kone, Zaynab, Bell, Abiodun, Adebowale, Akintunde A., Akpekpe, John, lyagba, Alagoma, Wulgo, Ali Mohammed, Arabambi, Babawale, Agu, Christian, Dike, Franklin, Ishola, Ismail, Abiodun, Kehinde, Ekenze, Oluchi, Agabi Osigwe, Paul, Balarabe, Salisu, Abubakar, Sani, Williams, Uduak, Fall, Maouly, Mamadou Diop, Alassane, Hilaire Dominique, Ewodo Touna, Mochan, Andre, Modi, Girish, Dindayal, Saiesha, Ali Awadelkareem, Eman, Elsayed, Inas, Dahawi, Maha, Awadelkareem, Mosab Ali, Misbah, Sarah, Mushengez, Brighton, Kimambo, Henrika, Msango, Leonard, Adebayo, Philip, OKeng, Kigocha, Diekker, Marieke, URassa, Sarah, Gouider, Riadh, Ben Djebara, Mouna, Gargouri, Amina, Kacem, Imen, Nasri, Amina, Mrabet, Saloua, Sghaier, Ikram, Mkada, Imen, Atadzhanov, Masharip, Chishimba, Lorraine, Rizig, Mie, Jama, Fatumah, Okunoye, Olaitan, Hardy, John, Houlden, Henry, Singleton, Andrew, Nalls, Mike, Shamim, Ejaz, Jonas, Cabell, Williamson, Jared, Hall, Deborah A., Rosenbaum, Marc, Davis, Staci, Dean, Marissa, Cromer, Candace, Smith, Jenna, Ruffrage, Lauren, Richardson, Joseph, Sipma, Rebeka, Xie, Tao, Padmanaban, Manesh, Warren, Natalie, Mercado, Tomas, Disbrow, Elizabeth, Chauppeta, Brian, Thomas-Dean, Fermine, Toms, Jamie, Lofton, Katelyn, Rawls, Ashley, Rizer, Kyle, Black, Nieci, Solle, Justin, O'Grady, Alyssa, Sherer, Todd, Fiske, Brian, Başak, A. Nazlı, Tan, Ai Huey, Noyce, Alastair, Akpalu, Albert, Espay, Alberto, Martínez-Carrasco, Alejandro, Medina, Alex, Zimprich, Alexander, Brice, Alexis, Karimova, Altynay, Hernandez, Alvaro, Illarionova, Anastasia, Quattrone, Andrea, Singleton, Andrew B, Sobering, Andrew K., Vinuela, Angel, Sanyaolu, Arinola, Schumacher-Schuh, Artur F., Kishore, Asha, Ahmad-Annuar, Azlina, Al Mubarak, Bashayer, Tang, Beisha, Pizarro Galleguillos, Benjamin, Jeon, Beomseok, Siddiqi, Bernadette, Casey, Bradford, Mollenhauer, Brit, Carroll, Camille, Rieder, Carlos, Pantazis, Caroline B., Comart, Charisse, Lin, Chin-Hsien, Klein, Christine, Bale, Claire, Shepherd, Claire E, Wegel, Claire, Blauwendraat, Cornelis, Vitale, Dan, Martinez-Ramirez, Daniel, Hall, Deborah, Hernandez, Dena, KP, Divya, Nguyen, Duan, Fon, Edward A., Dadiotis, Efthymios, Riley, Ekemini, Iakovenko, Elena, Stafford, Ellie, Gatto, Emilia M, Valente, Enza Maria, Vollstedt, Eva-Juliane, Faghri, Faraz, Genc, Gencer, Xiromerisiou, Georgia, Hadjigorgiou, Georgios, Hiu-Fai Chan, Germaine, Arboleda, Gonzalo, Kaishibayeva, Gulnaz, Höglinger, Günter, Leonard, Hampton, Madoev, Harutyun, Iwaki, Hirotaka, Chen, Honglei, Wu, Hsiu-Chuan, Shang, Huifang, Morris, Huw R, F. Mata, Ignacio, Keller Sarmiento, Ignacio Juan, Dagklis, Ioannis, Tarnanas, Ioannis, Aasly, Jan O., Hoenicka, Janet, Corvol, Jean-Christophe, Foo, Jia Nee, Guo, Jifeng, Junker, Johanna, Carr, Jonathan, Kim, Jonggeol Jeff, Orozco, Jorge, Jankovic, Joseph, Shulman, Joshua, Hunter, Julie, Solle, Justin C., Murphy, Kaileigh, Nuytemans, Karen, Kieburtz, Karl, Lohmann, Katja, Marek, Kenneth, Mok, Kin Ying, Kumar, Kishore, Levine, Kristin, Chahine, Lana M., Lange, Lara M., Pihlstrøm, Lasse, Screven, Laurel, Stefanis, Leonidas, Shulman, Lisa, Marsili, Luca, Parnetti, Lucilla, Kuhl, Maggie, Funayama, Manabu, Sharma, Manu, Tan, Manuela, Kauffman, Marcelo, Miranda, Marcelo, Bustamante, Maria Leonor, Stamelou, Maria, Periñan Tocino, Maria Teresa, Cornejo-Olivas, Mario, Jimenez del Rio, Marlene, Makarious, Mary B, Koretsky, Mathew, Rodriguez-Violante, Mayela, Ellis, Melina, Avenali, Micol, Rentería, Miguel E., Inca-Martines, Miguel z, Nalls, Mike A., Ibrahim Norlinah, Mohamed, Umair, Muhammad, Ip, Nancy, Louie, Naomi, Cheung, Nelson Yuk-Fai, Mencacci, Niccolò Emanuele, Wood, Nicholas, Williams, Nigel, Hattori, Nobutaka, Abdul Murad, Nor Azian, Ibrahim, Norlinah Mohamed, Monchi, Oury, Öztop Çakmak, Özgür, Öztop Çakmak, Patricio Öztop Çakmak, Lewis, Patrick Alfryn, Pastor, Pau, Reyes-Pérez, Paula, Saffie Awad, Paula, Chana, Pedro, Chan, Phillip, Kung, Pin-Jui, Chan, Piu, Pal, Pramod, Lingappa Kukkle, Prashanth, Ojha, Rajeev, Kaiyrzhanov, Rauan, Krüger, Rejko, Amouri, Rim, Weil, Rimona, Rajan, Roopa, Alcalay, Roy, Wu, Ruey-Meei, Borgohain, Rupam, Sassi, Samia Ben, Khachatryan, Samson, Bandres-Ciga, Sara, El-Sadig, Sarah, Wu, Serena, Groppa, Sergio, Azmin, Shahrul, Lim, Shen-Yang, Ur-Rehman, Shoaib, Ertan, Sibel, Stott, Simon, Jasaitye, Simona, Chowdhury, Sohini, Dumanis, Sonya, Bardien, Soraya, Lubbe, Steven, Koks, Sulev, Dey, Sumit, Foroud, Tatiana, Fon, Ted, Beach, Thomas, Gasser, Thomas, Anderson, Tim, Nguyen, Toan, Schirinzi, Tommaso, Shiraishi, Tomotaka, Pitcher, Toni, Tumas, Vitor, Mohamed, Wael, Kamel, Walaa A., Luo, Wei, Zhou, Xiaopu, Zewde, Yared Z., Song, Yeajin, Wen, Yi, Wu, Yihru, Joong Kim, Yun, Tavadyan, Zaruhi, Fang, Zih-Hua, Ojo, Oluwadamilola Omolara, Crea, Peter Wild, Abiodun, Oladunni Victoria, Levine, Kristin S, Abubakar, Sani Atta, Achoru, Charles Obiora, Adeniji, Olaleye Akinmola, Agabi, Osigwe Paul, Koretsky, Mathew J, Hall, Deborah A, Akinyemi, Rufus Olusola, Ali, Mohammed Wulgo, Shamim, Ejaz A, Padmanaban, Mahesh, Arigbodi, Ohwotemu Michael, Standaert, David G, Bello, Abiodun Hamzat, Dean, Marissa N, Erameh, Cyril Oshomah, Farombi, Temitope Hannah, Fawale, Michael Bimbola, Billingsley, Kimberley J, Imarhiagbe, Frank Aiwansoba, Jerez, Pilar Alvarez, Iwuozo, Emmanuel Uzodinma, Baker, Breeana, Komolafe, Morenikeji Adeyoyin, Malik, Laksh, Nwani, Paul Osemeke, Daida, Kensuke, Nwazor, Ernest Okwundu, Miano-Burkhardt, Abigail, Nyandaiti, Yakub Wilberforce, Obiabo, Yahaya Olugbo, Kluss, Jillian H, Odeniyi, Olanike Adedoyin, Hernandez, Dena G, Odiase, Francis Ehidiamen, Tayebi, Nahid, Ojini, Francis Ibe, Sidranksy, Ellen, Onwuegbuzie, Gerald Awele, D'Souza, Andrea M, Osaigbovo, Godwin Osawaru, Berhe, Bahafta, Reed, Xylena, Oshinaike, Olajumoke Olufemi, Leonard, Hampton L, Otubogun, Folajimi Morenikeji, Alvarado, Chelsea X, Oyakhire, Shyngle Imiewan, Ozomma, Simon Izuchukwu, Samuel, Sarah Chabiri, Taiwo, Funmilola Tolulope, Wahab, Kolawole Wasiu, Zubair, Yusuf Agboola, Kim, Jonggeol Jeffrey, Nalls, Mike A, Heilbron, Karl, Norcliffe-Kaufmann, Lucy, and Okubadejo, Njideka Ulunma

Published
2023
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23. MAPT H2 haplotype and risk of Pick's disease in the Pick's disease International Consortium: a genetic association study

Author

Warner, Thomas T, Jaunmuktane, Zane, Boeve, Bradley F, Duara, Ranjan, Graff-Radford, Neill R, Josephs, Keith A, Knopman, David S, Koga, Shunsuke, Murray, Melissa E, Lyons, Kelly E, Pahwa, Rajesh, Petersen, Ronald C, Whitwell, Jennifer L, Grinberg, Lea T, Miller, Bruce, Schlereth, Athena, Spina, Salvatore, Grossman, Murray, Irwin, David J, Suh, EunRan, Trojanowski, John Q, Van Deerlin, Vivianna M, Wolk, David A, Connors, Theresa R, Dooley, Patrick M, Oakley, Derek H, Aldecoa, Iban, Balasa, Mircea, Gelpi, Ellen, Borrego-Écija, Sergi, Gascon-Bayarri, Jordi, Sánchez-Valle, Raquel, Sanz-Cartagena, Pilar, Piñol-Ripoll, Gerard, Bigio, Eileen H, Flanagan, Margaret E, Rogalski, Emily J, Weintraub, Sandra, Schneider, Julie A, Peng, Lihua, Zhu, Xiongwei, Chang, Koping, Troncoso, Juan C, Prokop, Stefan, Newell, Kathy L, Jones, Matthew, Richardson, Anna, Roncaroli, Federico, Snowden, Julie, Allinson, Kieren, Singh, Poonam, Serrano, Geidy E, Flowers, Xena E, Goldman, James E, Heaps, Allison C, Leskinen, Sandra P, Black, Sandra E, Masellis, Mario, King, Andrew, Al-Sarraj, Safa, Troakes, Claire, Hodges, John R, Kril, Jillian J, Kwok, John B, Piguet, Olivier, Roeber, Sigrun, Attems, Johannes, Thomas, Alan J, Evers, Bret M., Bieniek, Kevin F, Sieben, Anne A, Cras, Patrick P, De Vil, Bart B, Bird, Thomas, Castellani, Rudolph J, Chaffee, Ann, Franklin, Erin, Haroutunian, Vahram, Jacobsen, Max, Keene, Dirk, Latimer, Caitlin S, Metcalf, Jeff, Perrin, Richard J, Purohit, Dushyant P, Rissman, Robert A, Schantz, Aimee, Walker, Jamie, De Deyn, Peter P, Duyckaerts, Charles, Le Ber, Isabelle, Seilhean, Danielle, Turbant-Leclere, Sabrina, Ervin, John F, Nennesmo, Inger, Riehl, James, Nacmias, Benedetta, Finger, Elizabeth C, Blauwendraat, Cornelis, Nalls, Mike A, Singleton, Andrew B, Vitale, Dan, Cunha, Cristina, Wszolek, Zbigniew K, Valentino, Rebecca R, Scotton, William J, Roemer, Shanu F, Lashley, Tammaryn, Heckman, Michael G, Shoai, Maryam, Martinez-Carrasco, Alejandro, Tamvaka, Nicole, Walton, Ronald L, Baker, Matthew C, Macpherson, Hannah L, Real, Raquel, Soto-Beasley, Alexandra I, Mok, Kin, Revesz, Tamas, Christopher, Elizabeth A, DeTure, Michael, Seeley, William W, Lee, Edward B, Frosch, Matthew P, Molina-Porcel, Laura, Gefen, Tamar, Redding-Ochoa, Javier, Ghetti, Bernardino, Robinson, Andrew C, Kobylecki, Christopher, Rowe, James B, Beach, Thomas G, Teich, Andrew F, Keith, Julia L, Bodi, Istvan, Halliday, Glenda M, Gearing, Marla, Arzberger, Thomas, Morris, Christopher M, White, Charles L, 3rd, Mechawar, Naguib, Boluda, Susana, MacKenzie, Ian R, McLean, Catriona, Cykowski, Matthew D, Wang, Shih-Hsiu J, Graff, Caroline, Nagra, Rashed M, Kovacs, Gabor G, Giaccone, Giorgio, Neumann, Manuela, Ang, Lee-Cyn, Carvalho, Agostinho, Morris, Huw R, Rademakers, Rosa, Hardy, John A, Dickson, Dennis W, Rohrer, Jonathan D, and Ross, Owen A

Published
2024
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26. GenoML: Automated Machine Learning for Genomics

Author

Makarious, Mary B., Leonard, Hampton L., Vitale, Dan, Iwaki, Hirotaka, Saffo, David, Sargent, Lana, Dadu, Anant, Castaño, Eduardo Salmerón, Carter, John F., Maleknia, Melina, Botia, Juan A., Blauwendraat, Cornelis, Campbell, Roy H., Hashemi, Sayed Hadi, Singleton, Andrew B., Nalls, Mike A., and Faghri, Faraz

Subjects
Computer Science - Machine Learning, Quantitative Biology - Quantitative Methods
Abstract

GenoML is a Python package automating machine learning workflows for genomics (genetics and multi-omics) with an open science philosophy. Genomics data require significant domain expertise to clean, pre-process, harmonize and perform quality control of the data. Furthermore, tuning, validation, and interpretation involve taking into account the biology and possibly the limitations of the underlying data collection, protocols, and technology. GenoML's mission is to bring machine learning for genomics and clinical data to non-experts by developing an easy-to-use tool that automates the full development, evaluation, and deployment process. Emphasis is put on open science to make workflows easily accessible, replicable, and transferable within the scientific community. Source code and documentation is available at https://genoml.com.

Published
2021

28. A biological definition of neuronal α-synuclein disease: towards an integrated staging system for research

Author

Simuni, Tanya, Chahine, Lana M, Poston, Kathleen, Brumm, Michael, Buracchio, Teresa, Campbell, Michelle, Chowdhury, Sohini, Coffey, Christopher, Concha-Marambio, Luis, Dam, Tien, DiBiaso, Peter, Foroud, Tatiana, Frasier, Mark, Gochanour, Caroline, Jennings, Danna, Kieburtz, Karl, Kopil, Catherine M, Merchant, Kalpana, Mollenhauer, Brit, Montine, Thomas, Nudelman, Kelly, Pagano, Gennaro, Seibyl, John, Sherer, Todd, Singleton, Andrew, Stephenson, Diane, Stern, Matthew, Soto, Claudio, Tanner, Caroline M, Tolosa, Eduardo, Weintraub, Daniel, Xiao, Yuge, Siderowf, Andrew, Dunn, Billy, and Marek, Kenneth

Published
2024
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31. Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis

Author

Tian, Ruilin, Abarientos, Anthony, Hong, Jason, Hashemi, Sayed Hadi, Yan, Rui, Dräger, Nina, Leng, Kun, Nalls, Mike A, Singleton, Andrew B, Xu, Ke, Faghri, Faraz, and Kampmann, Martin

Subjects
Stem Cell Research, Biotechnology, Genetics, Human Genome, Aging, Neurosciences, Neurodegenerative, 1.1 Normal biological development and functioning, 2.1 Biological and endogenous factors, Aetiology, Underpinning research, Generic health relevance, Neurological, Clustered Regularly Interspaced Short Palindromic Repeats, Ferroptosis, Gene Expression Profiling, Humans, Lysosomes, Neurons, Oxidative Stress, Saposins, Psychology, Cognitive Sciences, Neurology & Neurosurgery
Abstract

Single-cell transcriptomics provide a systematic map of gene expression in different human cell types. The next challenge is to systematically understand cell-type-specific gene function. The integration of CRISPR-based functional genomics and stem cell technology enables the scalable interrogation of gene function in differentiated human cells. Here we present the first genome-wide CRISPR interference and CRISPR activation screens in human neurons. We uncover pathways controlling neuronal response to chronic oxidative stress, which is implicated in neurodegenerative diseases. Unexpectedly, knockdown of the lysosomal protein prosaposin strongly sensitizes neurons, but not other cell types, to oxidative stress by triggering the formation of lipofuscin, a hallmark of aging, which traps iron, generating reactive oxygen species and triggering ferroptosis. We also determine transcriptomic changes in neurons after perturbation of genes linked to neurodegenerative diseases. To enable the systematic comparison of gene function across different human cell types, we establish a data commons named CRISPRbrain.

Published
2021

33. The Habitable Exoplanet Observatory (HabEx) Mission Concept Study Final Report

Author

Gaudi, B. Scott, Seager, Sara, Mennesson, Bertrand, Kiessling, Alina, Warfield, Keith, Cahoy, Kerri, Clarke, John T., Domagal-Goldman, Shawn, Feinberg, Lee, Guyon, Olivier, Kasdin, Jeremy, Mawet, Dimitri, Plavchan, Peter, Robinson, Tyler, Rogers, Leslie, Scowen, Paul, Somerville, Rachel, Stapelfeldt, Karl, Stark, Christopher, Stern, Daniel, Turnbull, Margaret, Amini, Rashied, Kuan, Gary, Martin, Stefan, Morgan, Rhonda, Redding, David, Stahl, H. Philip, Webb, Ryan, Alvarez-Salazar, Oscar, Arnold, William L., Arya, Manan, Balasubramanian, Bala, Baysinger, Mike, Bell, Ray, Below, Chris, Benson, Jonathan, Blais, Lindsey, Booth, Jeff, Bourgeois, Robert, Bradford, Case, Brewer, Alden, Brooks, Thomas, Cady, Eric, Caldwell, Mary, Calvet, Rob, Carr, Steven, Chan, Derek, Cormarkovic, Velibor, Coste, Keith, Cox, Charlie, Danner, Rolf, Davis, Jacqueline, Dewell, Larry, Dorsett, Lisa, Dunn, Daniel, East, Matthew, Effinger, Michael, Eng, Ron, Freebury, Greg, Garcia, Jay, Gaskin, Jonathan, Greene, Suzan, Hennessy, John, Hilgemann, Evan, Hood, Brad, Holota, Wolfgang, Howe, Scott, Huang, Pei, Hull, Tony, Hunt, Ron, Hurd, Kevin, Johnson, Sandra, Kissil, Andrew, Knight, Brent, Kolenz, Daniel, Kraus, Oliver, Krist, John, Li, Mary, Lisman, Doug, Mandic, Milan, Mann, John, Marchen, Luis, Marrese-Reading, Colleen, McCready, Jonathan, McGown, Jim, Missun, Jessica, Miyaguchi, Andrew, Moore, Bradley, Nemati, Bijan, Nikzad, Shouleh, Nissen, Joel, Novicki, Megan, Perrine, Todd, Pineda, Claudia, Polanco, Otto, Putnam, Dustin, Qureshi, Atif, Richards, Michael, Riggs, A. J. Eldorado, Rodgers, Michael, Rud, Mike, Saini, Navtej, Scalisi, Dan, Scharf, Dan, Schulz, Kevin, Serabyn, Gene, Sigrist, Norbert, Sikkia, Glory, Singleton, Andrew, Shaklan, Stuart, Smith, Scott, Southerd, Bart, Stahl, Mark, Steeves, John, Sturges, Brian, Sullivan, Chris, Tang, Hao, Taras, Neil, Tesch, Jonathan, Therrell, Melissa, Tseng, Howard, Valente, Marty, Van Buren, David, Villalvazo, Juan, Warwick, Steve, Webb, David, Westerhoff, Thomas, Wofford, Rush, Wu, Gordon, Woo, Jahning, Wood, Milana, Ziemer, John, Arney, Giada, Anderson, Jay, Maíz-Apellániz, Jesús, Bartlett, James, Belikov, Ruslan, Bendek, Eduardo, Cenko, Brad, Douglas, Ewan, Dulz, Shannon, Evans, Chris, Faramaz, Virginie, Feng, Y. Katherina, Ferguson, Harry, Follette, Kate, Ford, Saavik, García, Miriam, Geha, Marla, Gelino, Dawn, Götberg, Ylva, Hildebrandt, Sergi, Hu, Renyu, Jahnke, Knud, Kennedy, Grant, Kreidberg, Laura, Isella, Andrea, Lopez, Eric, Marchis, Franck, Macri, Lucas, Marley, Mark, Matzko, William, Mazoyer, Johan, McCandliss, Stephan, Meshkat, Tiffany, Mordasini, Christoph, Morris, Patrick, Nielsen, Eric, Newman, Patrick, Petigura, Erik, Postman, Marc, Reines, Amy, Roberge, Aki, Roederer, Ian, Ruane, Garreth, Schwieterman, Edouard, Sirbu, Dan, Spalding, Christopher, Teplitz, Harry, Tumlinson, Jason, Turner, Neal, Werk, Jessica, Wofford, Aida, Wyatt, Mark, Young, Amber, and Zellem, Rob

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics
Abstract

The Habitable Exoplanet Observatory, or HabEx, has been designed to be the Great Observatory of the 2030s. For the first time in human history, technologies have matured sufficiently to enable an affordable space-based telescope mission capable of discovering and characterizing Earthlike planets orbiting nearby bright sunlike stars in order to search for signs of habitability and biosignatures. Such a mission can also be equipped with instrumentation that will enable broad and exciting general astrophysics and planetary science not possible from current or planned facilities. HabEx is a space telescope with unique imaging and multi-object spectroscopic capabilities at wavelengths ranging from ultraviolet (UV) to near-IR. These capabilities allow for a broad suite of compelling science that cuts across the entire NASA astrophysics portfolio. HabEx has three primary science goals: (1) Seek out nearby worlds and explore their habitability; (2) Map out nearby planetary systems and understand the diversity of the worlds they contain; (3) Enable new explorations of astrophysical systems from our own solar system to external galaxies by extending our reach in the UV through near-IR. This Great Observatory science will be selected through a competed GO program, and will account for about 50% of the HabEx primary mission. The preferred HabEx architecture is a 4m, monolithic, off-axis telescope that is diffraction-limited at 0.4 microns and is in an L2 orbit. HabEx employs two starlight suppression systems: a coronagraph and a starshade, each with their own dedicated instrument., Comment: Full report: 498 pages. Executive Summary: 14 pages. More information about HabEx can be found here: https://www.jpl.nasa.gov/habex/

Published
2020

34. Characterizing a complex CT-rich haplotype in intron 4 of SNCA using large-scale targeted amplicon long-read sequencing

Author

Alvarez Jerez, Pilar, Daida, Kensuke, Grenn, Francis P., Malik, Laksh, Miano-Burkhardt, Abigail, Makarious, Mary B., Ding, Jinhui, Gibbs, J. Raphael, Moore, Anni, Reed, Xylena, Nalls, Mike A., Shah, Syed, Mahmoud, Medhat, Sedlazeck, Fritz J., Dolzhenko, Egor, Park, Morgan, Iwaki, Hirotaka, Casey, Bradford, Ryten, Mina, Blauwendraat, Cornelis, Singleton, Andrew B., and Billingsley, Kimberley J.

Published
2024
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36. Genome-wide determinants of mortality and motor progression in Parkinson’s disease

Author

Tan, Manuela M. X., Lawton, Michael A., Pollard, Miriam I., Brown, Emmeline, Real, Raquel, Carrasco, Alejandro Martinez, Bekadar, Samir, Jabbari, Edwin, Reynolds, Regina H., Iwaki, Hirotaka, Blauwendraat, Cornelis, Kanavou, Sofia, Hubbard, Leon, Malek, Naveed, Grosset, Katherine A., Bajaj, Nin, Barker, Roger A., Burn, David J., Bresner, Catherine, Foltynie, Thomas, Wood, Nicholas W., Williams-Gray, Caroline H., Andreassen, Ole A., Toft, Mathias, Elbaz, Alexis, Artaud, Fanny, Brice, Alexis, Corvol, Jean-Christophe, Aasly, Jan, Farrer, Matthew J., Nalls, Michael A., Singleton, Andrew B., Williams, Nigel M., Ben-Shlomo, Yoav, Hardy, John, Hu, Michele T. M., Grosset, Donald G., Shoai, Maryam, Pihlstrøm, Lasse, and Morris, Huw R.

Published
2024
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37. Profiling complex repeat expansions in RFC1 in Parkinson’s disease

Author

Alvarez Jerez, Pilar, Daida, Kensuke, Miano-Burkhardt, Abigail, Iwaki, Hirotaka, Malik, Laksh, Cogan, Guillaume, Makarious, Mary B., Sullivan, Roisin, Vandrovcova, Jana, Ding, Jinhui, Gibbs, J. Raphael, Markham, Androo, Nalls, Mike A., Kesharwani, Rupesh K., Sedlazeck, Fritz J., Casey, Bradford, Hardy, John, Houlden, Henry, Blauwendraat, Cornelis, Singleton, Andrew B., and Billingsley, Kimberley J.

Published
2024
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40. Pathogenic Huntingtin Repeat Expansions in Patients with Frontotemporal Dementia and Amyotrophic Lateral Sclerosis

Author

Dewan, Ramita, Chia, Ruth, Ding, Jinhui, Hickman, Richard A, Stein, Thor D, Abramzon, Yevgeniya, Ahmed, Sarah, Sabir, Marya S, Portley, Makayla K, Tucci, Arianna, Ibáñez, Kristina, Shankaracharya, FNU, Keagle, Pamela, Rossi, Giacomina, Caroppo, Paola, Tagliavini, Fabrizio, Waldo, Maria L, Johansson, Per M, Nilsson, Christer F, Rowe, James B, Benussi, Luisa, Binetti, Giuliano, Ghidoni, Roberta, Jabbari, Edwin, Viollet, Coralie, Glass, Jonathan D, Singleton, Andrew B, Silani, Vincenzo, Ross, Owen A, Ryten, Mina, Torkamani, Ali, Tanaka, Toshiko, Ferrucci, Luigi, Resnick, Susan M, Pickering-Brown, Stuart, Brady, Christopher B, Kowal, Neil, Hardy, John A, Van Deerlin, Vivianna, Vonsattel, Jean Paul, Harms, Matt, Morris, Christopher M, Ferrari, Raffaele, Landers, John E, Chiò, Adriano, Gibbs, Jesse Raphael, Dalgard, Clifton L, Scholz, Sonja W, Traynor, Bryan J, Adeleye, Adelani, Alba, Camille, Bacikova, Dagmar, Hupalo, Daniel N, Martinez, Elisa McGrath, Pollard, Harvey B, Sukumar, Gauthaman, Soltis, Anthony R, Tuck, Meila, Zhang, Xijun, Wilkerson, Matthew D, Smith, Bradley N, Ticozzi, Nicola, Fallini, Claudia, Gkazi, Athina Soragia, Topp, Simon D, Kost, Jason, Scotter, Emma L, Kenna, Kevin P, Miller, Jack W, Tiloca, Cinzia, Vance, Caroline, Danielson, Eric W, Troakes, Claire, Colombrita, Claudia, Al-Sarraj, Safa, Lewis, Elizabeth A, King, Andrew, Calini, Daniela, Pensato, Viviana, Castellotti, Barbara, de Belleroche, Jacqueline, Baas, Frank, Asbroek, Anneloor LMA ten, Sapp, Peter C, McKenna-Yasek, Diane, McLaughlin, Russell L, Polak, Meraida, Asress, Seneshaw, Esteban-Pérez, Jesús, Muñoz-Blanco, José Luis, Stevic, Zorica, D’Alfonso, Sandra, Mazzini, Letizia, Comi, Giacomo P, Del Bo, Roberto, Ceroni, Mauro, Gagliardi, Stella, Querin, Giorgia, Bertolin, Cinzia, and van Rheenen, Wouter

Subjects
Genetics, Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD), Clinical Research, Neurodegenerative, Acquired Cognitive Impairment, Dementia, Frontotemporal Dementia (FTD), Alzheimer's Disease Related Dementias (ADRD), ALS, Rare Diseases, Brain Disorders, Neurosciences, Huntington's Disease, 2.1 Biological and endogenous factors, Aetiology, Neurological, Amyotrophic Lateral Sclerosis, DNA Repeat Expansion, Frontotemporal Dementia, Humans, Huntingtin Protein, Mutation, Whole Genome Sequencing, American Genome Center, FALS Sequencing Consortium, Genomics England Research Consortium, International ALS/FTD Genomics Consortium, International FTD Genetics Consortium, International LBD Genomics Consortium, NYGC ALS Consortium, PROSPECT Consortium, amyotrophic lateral sclerosis, frontotemporal dementia, huntingtin, repeat expansions, whole-genome sequencing, Psychology, Cognitive Sciences, Neurology & Neurosurgery
Abstract

We examined the role of repeat expansions in the pathogenesis of frontotemporal dementia (FTD) and amyotrophic lateral sclerosis (ALS) by analyzing whole-genome sequence data from 2,442 FTD/ALS patients, 2,599 Lewy body dementia (LBD) patients, and 3,158 neurologically healthy subjects. Pathogenic expansions (range, 40-64 CAG repeats) in the huntingtin (HTT) gene were found in three (0.12%) patients diagnosed with pure FTD/ALS syndromes but were not present in the LBD or healthy cohorts. We replicated our findings in an independent collection of 3,674 FTD/ALS patients. Postmortem evaluations of two patients revealed the classical TDP-43 pathology of FTD/ALS, as well as huntingtin-positive, ubiquitin-positive aggregates in the frontal cortex. The neostriatal atrophy that pathologically defines Huntington's disease was absent in both cases. Our findings reveal an etiological relationship between HTT repeat expansions and FTD/ALS syndromes and indicate that genetic screening of FTD/ALS patients for HTT repeat expansions should be considered.

Published
2021

42. Validation of Serum Neurofilament Light Chain as a Biomarker of Parkinson's Disease Progression

Author

Mollenhauer, Brit, Dakna, Mohammed, Kruse, Niels, Galasko, Douglas, Foroud, Tatiana, Zetterberg, Henrik, Schade, Sebastian, Gera, Roland G, Wang, Wenting, Gao, Feng, Frasier, Mark, Chahine, Lana M, Coffey, Christopher S, Singleton, Andrew B, Simuni, Tanya, Weintraub, Daniel, Seibyl, John, Toga, Arthur W, Tanner, Caroline M, Kieburtz, Karl, Marek, Kenneth, Siderowf, Andrew, Cedarbaum, Jesse M, Hutten, Samantha J, Trenkwalder, Claudia, and Graham, Danielle

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Parkinson's Disease, Neurosciences, Clinical Research, Aging, Prevention, Brain Disorders, Neurodegenerative, 4.1 Discovery and preclinical testing of markers and technologies, Aetiology, 2.1 Biological and endogenous factors, Detection, screening and diagnosis, 4.2 Evaluation of markers and technologies, Neurological, Biomarkers, Cohort Studies, Disease Progression, Humans, Intermediate Filaments, Parkinson Disease, Parkinson's disease, parkinsonism, cohort studies, outcome research, Parkinson's disease/parkinsonism, Human Movement and Sports Sciences, Neurology & Neurosurgery, Clinical sciences
Abstract

BackgroundThe objective of this study was to assess neurofilament light chain as a Parkinson's disease biomarker.MethodsWe quantified neurofilament light chain in 2 independent cohorts: (1) longitudinal cerebrospinal fluid samples from the longitudinal de novo Parkinson's disease cohort and (2) a large longitudinal cohort with serum samples from Parkinson's disease, other cognate/neurodegenerative disorders, healthy controls, prodromal conditions, and mutation carriers.ResultsIn the Parkinson's Progression Marker Initiative cohort, mean baseline serum neurofilament light chain was higher in Parkinson's disease patients (13 ± 7.2 pg/mL) than in controls (12 ± 6.7 pg/mL), P = 0.0336. Serum neurofilament light chain increased longitudinally in Parkinson's disease patients versus controls (P

Published
2020

43. Longitudinal Measurements of Glucocerebrosidase activity in Parkinson’s patients

Author

Alcalay, Roy N, Wolf, Pavlina, Chiang, Ming Sum Ruby, Helesicova, Karolina, Zhang, Xiaokui Kate, Merchant, Kalpana, Hutten, Samantha J, Scherzer, Clemens, Caspell‐Garcia, Chelsea, Blauwendraat, Cornelis, Foroud, Tatiana, Nudelman, Kelly, Gan‐Or, Ziv, Simuni, Tanya, Chahine, Lana M, Levy, Oren, Zheng, Dandi, Li, Sardi, Sergio Pablo, Marek, Kenneth, Siderowf, Andrew, Seibyl, John, Coffey, Christopher, Tanner, Caroline, Tosun‐Turgut, Duygu, Shaw, Leslie M, Trojanowski, John Q, Singleton, Andrew, Kieburtz, Karl, Toga, Arthur, Mollenhauer, Brit, Galasko, Douglas, Poewe, Werner, Poston, Kathleen, Bressman, Susan, Reimer, Alyssa, Arnedo, Vanessa, Clark, Adrienne, Frasier, Mark, Kopil, Catherine, Chowdhury, Sohini, Sherer, Todd, Casaceli, Cynthia, Dorsey, Ray, Wilson, Renee, Mahes, Sugi, Salerno, Christina, Crawford, Karen, Casalin, Paola, Malferrari, Giulia, Weisz, Mali Gani, Orr‐Urtreger, Avi, Montine, Thomas, Baglieri, Chris, Christini, Amanda, Russell, David, Dahodwala, Nabila, Giladi, Nir, Factor, Stewart, Hogarth, Penelope, Standaert, David, Hauser, Robert, Jankovic, Joseph, Saint‐Hilaire, Marie, Richard, Irene, Shprecher, David, Fernandez, Hubert, Brockmann, Katrina, Rosenthal, Liana, Barone, Paolo, Espay, Alberto, Rowe, Dominic, Marder, Karen, Santiago, Anthony, Hu, Shu‐Ching, Isaacson, Stuart, Martinez, Javiar Ruiz, Tolosa, Eduardo, Tai, Yen, Politis, Marios, Smejdir, Debra, Rees, Linda, Williams, Karen, Kausar, Farah, Richardson, Whitney, Willeke, Diana, Peacock, Shawnees, Sommerfeld, Barbara, Freed, Alison, Wakeman, Katrina, Blair, Courtney, Guthrie, Stephanie, Harrell, Leigh, Hunter, Christine, Thomas, Cathi‐Ann, James, Raymond, Zimmerman, Grace, Brown, Victoria, and Mule, Jennifer

Subjects
Clinical and Health Psychology, Biomedical and Clinical Sciences, Neurosciences, Psychology, Human Genome, Parkinson's Disease, Neurodegenerative, Brain Disorders, Aging, Genetics, Neurological, Adult, Dementia, Disease Progression, Female, Genotype, Glucosylceramidase, Heterozygote, Humans, Male, Mental Status and Dementia Tests, Middle Aged, Mutation, Parkinson Disease, Phenotype, Parkinson’s Progression Markers Initiative, Clinical Sciences, Clinical and health psychology
Abstract

ObjectiveReduction in glucocerebrosidase (GCase; encoded by GBA) enzymatic activity has been linked to Parkinson's disease (PD). Here, we correlated GCase activity and PD phenotype in the Parkinson's Progression Markers Initiative (PPMI) cohort.MethodsWe measured GCase activity in dried blood spots from 1559 samples of participants in the inception PPMI cohort, collected in four annual visits (from baseline visit to Year-3). Participants (PD, n = 392; controls, n = 175) were fully sequenced for GBA variants by means of genome-wide genotyping arrays, whole-exome sequencing, whole-genome sequencing, Sanger sequencing, and RNA-sequencing.ResultsFifty-two PD participants (13.4%) and 13 (7.4%) controls carried a GBA variant. GBA status was strongly associated with GCase activity. Among noncarriers, GCase activity was similar between PD and controls. Among GBA p.E326K carriers (PD, n = 20; controls, n = 5), activity was significantly lower in PD carriers than control carriers (9.53 µmol/L/h vs. 11.68 µmol/L/h, P = 0.035). Glucocerebrosidase activity was moderately (r = 0.45) associated with white blood cell (WBC) count. Next, we divided the noncarriers with PD to tertiles based on WBC count-corrected enzymatic activity. Members of the lower tertile had higher MDS-Unified Parkinson's Disease Rating Scale motor score in the "off" medication examination at year-III exam. Longitudinal analyses demonstrated slight reduction of activity in samples collected earlier on in the study, likely because of longer storage time.InterpretationGCase activity is associated with GBA genotype, WBC count, and among p.E326K variant carriers, with PD status. Reduced activity may also be associated with worse phenotype but longer follow up is required to confirm this observation.

Published
2020

44. A saturated map of common genetic variants associated with human height

Author

Yengo, Loïc, Vedantam, Sailaja, Marouli, Eirini, Sidorenko, Julia, Bartell, Eric, Sakaue, Saori, Graff, Marielisa, Eliasen, Anders U., Jiang, Yunxuan, Raghavan, Sridharan, Miao, Jenkai, Arias, Joshua D., Graham, Sarah E., Mukamel, Ronen E., Spracklen, Cassandra N., Yin, Xianyong, Chen, Shyh-Huei, Ferreira, Teresa, Highland, Heather H., Ji, Yingjie, Karaderi, Tugce, Lin, Kuang, Lüll, Kreete, Malden, Deborah E., Medina-Gomez, Carolina, Machado, Moara, Moore, Amy, Rüeger, Sina, Sim, Xueling, Vrieze, Scott, Ahluwalia, Tarunveer S., Akiyama, Masato, Allison, Matthew A., Alvarez, Marcus, Andersen, Mette K., Ani, Alireza, Appadurai, Vivek, Arbeeva, Liubov, Bhaskar, Seema, Bielak, Lawrence F., Bollepalli, Sailalitha, Bonnycastle, Lori L., Bork-Jensen, Jette, Bradfield, Jonathan P., Bradford, Yuki, Braund, Peter S., Brody, Jennifer A., Burgdorf, Kristoffer S., Cade, Brian E., Cai, Hui, Cai, Qiuyin, Campbell, Archie, Cañadas-Garre, Marisa, Catamo, Eulalia, Chai, Jin-Fang, Chai, Xiaoran, Chang, Li-Ching, Chang, Yi-Cheng, Chen, Chien-Hsiun, Chesi, Alessandra, Choi, Seung Hoan, Chung, Ren-Hua, Cocca, Massimiliano, Concas, Maria Pina, Couture, Christian, Cuellar-Partida, Gabriel, Danning, Rebecca, Daw, E. Warwick, Degenhard, Frauke, Delgado, Graciela E., Delitala, Alessandro, Demirkan, Ayse, Deng, Xuan, Devineni, Poornima, Dietl, Alexander, Dimitriou, Maria, Dimitrov, Latchezar, Dorajoo, Rajkumar, Ekici, Arif B., Engmann, Jorgen E., Fairhurst-Hunter, Zammy, Farmaki, Aliki-Eleni, Faul, Jessica D., Fernandez-Lopez, Juan-Carlos, Forer, Lukas, Francescatto, Margherita, Freitag-Wolf, Sandra, Fuchsberger, Christian, Galesloot, Tessel E., Gao, Yan, Gao, Zishan, Geller, Frank, Giannakopoulou, Olga, Giulianini, Franco, Gjesing, Anette P., Goel, Anuj, Gordon, Scott D., Gorski, Mathias, Grove, Jakob, Guo, Xiuqing, Gustafsson, Stefan, Haessler, Jeffrey, Hansen, Thomas F., Havulinna, Aki S., Haworth, Simon J., He, Jing, Heard-Costa, Nancy, Hebbar, Prashantha, Hindy, George, Ho, Yuk-Lam A., Hofer, Edith, Holliday, Elizabeth, Horn, Katrin, Hornsby, Whitney E., Hottenga, Jouke-Jan, Huang, Hongyan, Huang, Jie, Huerta-Chagoya, Alicia, Huffman, Jennifer E., Hung, Yi-Jen, Huo, Shaofeng, Hwang, Mi Yeong, Iha, Hiroyuki, Ikeda, Daisuke D., Isono, Masato, Jackson, Anne U., Jäger, Susanne, Jansen, Iris E., Johansson, Ingegerd, Jonas, Jost B., Jonsson, Anna, Jørgensen, Torben, Kalafati, Ioanna-Panagiota, Kanai, Masahiro, Kanoni, Stavroula, Kårhus, Line L., Kasturiratne, Anuradhani, Katsuya, Tomohiro, Kawaguchi, Takahisa, Kember, Rachel L., Kentistou, Katherine A., Kim, Han-Na, Kim, Young Jin, Kleber, Marcus E., Knol, Maria J., Kurbasic, Azra, Lauzon, Marie, Le, Phuong, Lea, Rodney, Lee, Jong-Young, Leonard, Hampton L., Li, Shengchao A., Li, Xiaohui, Li, Xiaoyin, Liang, Jingjing, Lin, Honghuang, Lin, Shih-Yi, Liu, Jun, Liu, Xueping, Lo, Ken Sin, Long, Jirong, Lores-Motta, Laura, Luan, Jian’an, Lyssenko, Valeriya, Lyytikäinen, Leo-Pekka, Mahajan, Anubha, Mamakou, Vasiliki, Mangino, Massimo, Manichaikul, Ani, Marten, Jonathan, Mattheisen, Manuel, Mavarani, Laven, McDaid, Aaron F., Meidtner, Karina, Melendez, Tori L., Mercader, Josep M., Milaneschi, Yuri, Miller, Jason E., Millwood, Iona Y., Mishra, Pashupati P., Mitchell, Ruth E., Møllehave, Line T., Morgan, Anna, Mucha, Soeren, Munz, Matthias, Nakatochi, Masahiro, Nelson, Christopher P., Nethander, Maria, Nho, Chu Won, Nielsen, Aneta A., Nolte, Ilja M., Nongmaithem, Suraj S., Noordam, Raymond, Ntalla, Ioanna, Nutile, Teresa, Pandit, Anita, Christofidou, Paraskevi, Pärna, Katri, Pauper, Marc, Petersen, Eva R. B., Petersen, Liselotte V., Pitkänen, Niina, Polašek, Ozren, Poveda, Alaitz, Preuss, Michael H., Pyarajan, Saiju, Raffield, Laura M., Rakugi, Hiromi, Ramirez, Julia, Rasheed, Asif, Raven, Dennis, Rayner, Nigel W., Riveros, Carlos, Rohde, Rebecca, Ruggiero, Daniela, Ruotsalainen, Sanni E., Ryan, Kathleen A., Sabater-Lleal, Maria, Saxena, Richa, Scholz, Markus, Sendamarai, Anoop, Shen, Botong, Shi, Jingchunzi, Shin, Jae Hun, Sidore, Carlo, Sitlani, Colleen M., Slieker, Roderick C., Smit, Roelof A. J., Smith, Albert V., Smith, Jennifer A., Smyth, Laura J., Southam, Lorraine, Steinthorsdottir, Valgerdur, Sun, Liang, Takeuchi, Fumihiko, Tallapragada, Divya Sri Priyanka, Taylor, Kent D., Tayo, Bamidele O., Tcheandjieu, Catherine, Terzikhan, Natalie, Tesolin, Paola, Teumer, Alexander, Theusch, Elizabeth, Thompson, Deborah J., Thorleifsson, Gudmar, Timmers, Paul R. H. J., Trompet, Stella, Turman, Constance, Vaccargiu, Simona, van der Laan, Sander W., van der Most, Peter J., van Klinken, Jan B., van Setten, Jessica, Verma, Shefali S., Verweij, Niek, Veturi, Yogasudha, Wang, Carol A., Wang, Chaolong, Wang, Lihua, Wang, Zhe, Warren, Helen R., Bin Wei, Wen, Wickremasinghe, Ananda R., Wielscher, Matthias, Wiggins, Kerri L., Winsvold, Bendik S., Wong, Andrew, Wu, Yang, Wuttke, Matthias, Xia, Rui, Xie, Tian, Yamamoto, Ken, Yang, Jingyun, Yao, Jie, Young, Hannah, Yousri, Noha A., Yu, Lei, Zeng, Lingyao, Zhang, Weihua, Zhang, Xinyuan, Zhao, Jing-Hua, Zhao, Wei, Zhou, Wei, Zimmermann, Martina E., Zoledziewska, Magdalena, Adair, Linda S., Adams, Hieab H. H., Aguilar-Salinas, Carlos A., Al-Mulla, Fahd, Arnett, Donna K., Asselbergs, Folkert W., Åsvold, Bjørn Olav, Attia, John, Banas, Bernhard, Bandinelli, Stefania, Bennett, David A., Bergler, Tobias, Bharadwaj, Dwaipayan, Biino, Ginevra, Bisgaard, Hans, Boerwinkle, Eric, Böger, Carsten A., Bønnelykke, Klaus, Boomsma, Dorret I., Børglum, Anders D., Borja, Judith B., Bouchard, Claude, Bowden, Donald W., Brandslund, Ivan, Brumpton, Ben, Buring, Julie E., Caulfield, Mark J., Chambers, John C., Chandak, Giriraj R., Chanock, Stephen J., Chaturvedi, Nish, Chen, Yii-Der Ida, Chen, Zhengming, Cheng, Ching-Yu, Christophersen, Ingrid E., Ciullo, Marina, Cole, John W., Collins, Francis S., Cooper, Richard S., Cruz, Miguel, Cucca, Francesco, Cupples, L. Adrienne, Cutler, Michael J., Damrauer, Scott M., Dantoft, Thomas M., de Borst, Gert J., de Groot, Lisette C. P. G. M., De Jager, Philip L., de Kleijn, Dominique P. V., Janaka de Silva, H., Dedoussis, George V., den Hollander, Anneke I., Du, Shufa, Easton, Douglas F., Elders, Petra J. M., Eliassen, A. Heather, Ellinor, Patrick T., Elmståhl, Sölve, Erdmann, Jeanette, Evans, Michele K., Fatkin, Diane, Feenstra, Bjarke, Feitosa, Mary F., Ferrucci, Luigi, Ford, Ian, Fornage, Myriam, Franke, Andre, Franks, Paul W., Freedman, Barry I., Gasparini, Paolo, Gieger, Christian, Girotto, Giorgia, Goddard, Michael E., Golightly, Yvonne M., Gonzalez-Villalpando, Clicerio, Gordon-Larsen, Penny, Grallert, Harald, Grant, Struan F. A., Grarup, Niels, Griffiths, Lyn, Gudnason, Vilmundur, Haiman, Christopher, Hakonarson, Hakon, Hansen, Torben, Hartman, Catharina A., Hattersley, Andrew T., Hayward, Caroline, Heckbert, Susan R., Heng, Chew-Kiat, Hengstenberg, Christian, Hewitt, Alex W., Hishigaki, Haretsugu, Hoyng, Carel B., Huang, Paul L., Huang, Wei, Hunt, Steven C., Hveem, Kristian, Hyppönen, Elina, Iacono, William G., Ichihara, Sahoko, Ikram, M. Arfan, Isasi, Carmen R., Jackson, Rebecca D., Jarvelin, Marjo-Riitta, Jin, Zi-Bing, Jöckel, Karl-Heinz, Joshi, Peter K., Jousilahti, Pekka, Jukema, J. Wouter, Kähönen, Mika, Kamatani, Yoichiro, Kang, Kui Dong, Kaprio, Jaakko, Kardia, Sharon L. R., Karpe, Fredrik, Kato, Norihiro, Kee, Frank, Kessler, Thorsten, Khera, Amit V., Khor, Chiea Chuen, Kiemeney, Lambertus A. L. M., Kim, Bong-Jo, Kim, Eung Kweon, Kim, Hyung-Lae, Kirchhof, Paulus, Kivimaki, Mika, Koh, Woon-Puay, Koistinen, Heikki A., Kolovou, Genovefa D., Kooner, Jaspal S., Kooperberg, Charles, Köttgen, Anna, Kovacs, Peter, Kraaijeveld, Adriaan, Kraft, Peter, Krauss, Ronald M., Kumari, Meena, Kutalik, Zoltan, Laakso, Markku, Lange, Leslie A., Langenberg, Claudia, Launer, Lenore J., Le Marchand, Loic, Lee, Hyejin, Lee, Nanette R., Lehtimäki, Terho, Li, Huaixing, Li, Liming, Lieb, Wolfgang, Lin, Xu, Lind, Lars, Linneberg, Allan, Liu, Ching-Ti, Liu, Jianjun, Loeffler, Markus, London, Barry, Lubitz, Steven A., Lye, Stephen J., Mackey, David A., Mägi, Reedik, Magnusson, Patrik K. E., Marcus, Gregory M., Vidal, Pedro Marques, Martin, Nicholas G., März, Winfried, Matsuda, Fumihiko, McGarrah, Robert W., McGue, Matt, McKnight, Amy Jayne, Medland, Sarah E., Mellström, Dan, Metspalu, Andres, Mitchell, Braxton D., Mitchell, Paul, Mook-Kanamori, Dennis O., Morris, Andrew D., Mucci, Lorelei A., Munroe, Patricia B., Nalls, Mike A., Nazarian, Saman, Nelson, Amanda E., Neville, Matt J., Newton-Cheh, Christopher, Nielsen, Christopher S., Nöthen, Markus M., Ohlsson, Claes, Oldehinkel, Albertine J., Orozco, Lorena, Pahkala, Katja, Pajukanta, Päivi, Palmer, Colin N. A., Parra, Esteban J., Pattaro, Cristian, Pedersen, Oluf, Pennell, Craig E., Penninx, Brenda W. J. H., Perusse, Louis, Peters, Annette, Peyser, Patricia A., Porteous, David J., Posthuma, Danielle, Power, Chris, Pramstaller, Peter P., Province, Michael A., Qi, Qibin, Qu, Jia, Rader, Daniel J., Raitakari, Olli T., Ralhan, Sarju, Rallidis, Loukianos S., Rao, Dabeeru C., Redline, Susan, Reilly, Dermot F., Reiner, Alexander P., Rhee, Sang Youl, Ridker, Paul M., Rienstra, Michiel, Ripatti, Samuli, Ritchie, Marylyn D., Roden, Dan M., Rosendaal, Frits R., Rotter, Jerome I., Rudan, Igor, Rutters, Femke, Sabanayagam, Charumathi, Saleheen, Danish, Salomaa, Veikko, Samani, Nilesh J., Sanghera, Dharambir K., Sattar, Naveed, Schmidt, Börge, Schmidt, Helena, Schmidt, Reinhold, Schulze, Matthias B., Schunkert, Heribert, Scott, Laura J., Scott, Rodney J., Sever, Peter, Shiroma, Eric J., Shoemaker, M. Benjamin, Shu, Xiao-Ou, Simonsick, Eleanor M., Sims, Mario, Singh, Jai Rup, Singleton, Andrew B., Sinner, Moritz F., Smith, J. Gustav, Snieder, Harold, Spector, Tim D., Stampfer, Meir J., Stark, Klaus J., Strachan, David P., ‘t Hart, Leen M., Tabara, Yasuharu, Tang, Hua, Tardif, Jean-Claude, Thanaraj, Thangavel A., Timpson, Nicholas J., Tönjes, Anke, Tremblay, Angelo, Tuomi, Tiinamaija, Tuomilehto, Jaakko, Tusié-Luna, Maria-Teresa, Uitterlinden, Andre G., van Dam, Rob M., van der Harst, Pim, Van der Velde, Nathalie, van Duijn, Cornelia M., van Schoor, Natasja M., Vitart, Veronique, Völker, Uwe, Vollenweider, Peter, Völzke, Henry, Wacher-Rodarte, Niels H., Walker, Mark, Wang, Ya Xing, Wareham, Nicholas J., Watanabe, Richard M., Watkins, Hugh, Weir, David R., Werge, Thomas M., Widen, Elisabeth, Wilkens, Lynne R., Willemsen, Gonneke, Willett, Walter C., Wilson, James F., Wong, Tien-Yin, Woo, Jeong-Taek, Wright, Alan F., Wu, Jer-Yuarn, Xu, Huichun, Yajnik, Chittaranjan S., Yokota, Mitsuhiro, Yuan, Jian-Min, Zeggini, Eleftheria, Zemel, Babette S., Zheng, Wei, Zhu, Xiaofeng, Zmuda, Joseph M., Zonderman, Alan B., Zwart, John-Anker, Chasman, Daniel I., Cho, Yoon Shin, Heid, Iris M., McCarthy, Mark I., Ng, Maggie C. Y., O’Donnell, Christopher J., Rivadeneira, Fernando, Thorsteinsdottir, Unnur, Sun, Yan V., Tai, E. Shyong, Boehnke, Michael, Deloukas, Panos, Justice, Anne E., Lindgren, Cecilia M., Loos, Ruth J. F., Mohlke, Karen L., North, Kari E., Stefansson, Kari, Walters, Robin G., Winkler, Thomas W., Young, Kristin L., Loh, Po-Ru, Yang, Jian, Esko, Tõnu, Assimes, Themistocles L., Auton, Adam, Abecasis, Goncalo R., Willer, Cristen J., Locke, Adam E., Berndt, Sonja I., Lettre, Guillaume, Frayling, Timothy M., Okada, Yukinori, Wood, Andrew R., Visscher, Peter M., and Hirschhorn, Joel N.

Published
2022
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45. Prioritization of Drug Targets for Neurodegenerative Diseases by Integrating Genetic and Proteomic Data From Brain and Blood

Author

Ferrari, Raffaele, Hernandez, Dena G., Nalls, Michael A., Rohrer, Jonathan D., Ramasamy, Adaikalavan, Kwok, John B.J., Dobson-Stone, Carol, Brooks, William S., Schofield, Peter R., Halliday, Glenda M., Hodges, John R., Piguet, Olivier, Bartley, Lauren, Thompson, Elizabeth, Haan, Eric, Hernández, Isabel, Ruiz, Agustín, Boada, Mercè, Borroni, Barbara, Padovani, Alessandro, Cruchaga, Carlos, Cairns, Nigel J., Benussi, Luisa, Binetti, Giuliano, Ghidoni, Roberta, Forloni, Gianluigi, Galimberti, Daniela, Fenoglio, Chiara, Serpente, Maria, Scarpini, Elio, Clarimón, Jordi, Lleó, Alberto, Blesa, Rafael, Waldö, Maria Landqvist, Nilsson, Karin, Nilsson, Christer, Mackenzie, Ian R.A., Hsiung, Ging-Yuek R., Mann, David M.A., Grafman, Jordan, Morris, Christopher M., Attems, Johannes, Griffiths, Timothy D., McKeith, Ian G., Thomas, Alan J., Pietrini, P., Huey, Edward D., Wassermann, Eric M., Baborie, Atik, Jaros, Evelyn, Tierney, Michael C., Pastor, Pau, Razquin, Cristina, Ortega-Cubero, Sara, Alonso, Elena, Perneczky, Robert, Diehl-Schmid, Janine, Alexopoulos, Panagiotis, Kurz, Alexander, Rainero, Innocenzo, Rubino, Elisa, Pinessi, Lorenzo, Rogaeva, Ekaterina, St. George-Hyslop, Peter, Rossi, Giacomina, Tagliavini, Fabrizio, Giaccone, Giorgio, Rowe, James B., Schlachetzki, Johannes C.M., Uphill, James, Collinge, John, Mead, Simon, Danek, Adrian, Van Deerlin, Vivianna M., Grossman, Murray, Trojanowski, John Q., van der Zee, Julie, Deschamps, William, Van Langenhove, Tim, Cruts, Marc, Van Broeckhoven, Christine, Cappa, Stefano F., Le Ber, Isabelle, Hannequin, Didier, Golfier, Véronique, Vercelletto, Martine, Brice, Alexis, Nacmias, Benedetta, Sorbi, Sandro, Bagnoli, Silvia, Piaceri, Irene, Nielsen, Jørgen E., Hjermind, Lena E., Riemenschneider, Matthias, Mayhaus, Manuel, Ibach, Bernd, Gasparoni, Gilles, Pichler, Sabrina, Gu, Wei, Rossor, Martin N., Fox, Nick C., Warren, Jason D., Spillantini, Maria Grazia, Morris, Huw R., Rizzu, Patrizia, Heutink, Peter, Snowden, Julie S., Rollinson, Sara, Richardson, Anna, Gerhard, Alexander, Bruni, Amalia C., Maletta, Raffaele, Frangipane, Francesca, Cupidi, Chiara, Bernardi, Livia, Anfossi, Maria, Gallo, Maura, Conidi, Maria Elena, Smirne, Nicoletta, Rademakers, Rosa, Baker, Matt, Dickson, Dennis W., Graff-Radford, Neill R., Petersen, Ronald C., Knopman, David, Josephs, Keith A., Boeve, Bradley F., Parisi, Joseph E., Seeley, William W., Miller, Bruce L., Karydas, Anna M., Rosen, Howard, van Swieten, John C., Dopper, Elise G.P., Seelaar, Harro, Pijnenburg, Yolande A.L., Scheltens, Philip, Logroscino, Giancarlo, Capozzo, Rosa, Novelli, Valeria, Puca, Annibale A., Franceschi, Massimo, Postiglione, Alfredo, Milan, Graziella, Sorrentino, Paolo, Kristiansen, Mark, Chiang, Huei-Hsin, Graff, Caroline, Pasquier, Florence, Rollin, Adeline, Deramecourt, Vincent, Lebert, Florence, Kapogiannis, Dimitrios, Ferrucci, Luigi, Pickering-Brown, Stuart, Singleton, Andrew B., Hardy, John, Momeni, Parastoo, Ge, Yi-Jun, Ou, Ya-Nan, Deng, Yue-Ting, Wu, Bang-Sheng, Yang, Liu, Zhang, Ya-Ru, Chen, Shi-Dong, Huang, Yu-Yuan, Dong, Qiang, Tan, Lan, and Yu, Jin-Tai

Published
2023
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46. Clinical and Dopamine Transporter Imaging Characteristics of Leucine Rich Repeat Kinase 2 (LRRK2) and Glucosylceramidase Beta (GBA) Parkinson's Disease Participants in the Parkinson's Progression Markers Initiative: A Cross-Sectional Study.

Author

Simuni, Tanya, Brumm, Michael C, Uribe, Liz, Caspell-Garcia, Chelsea, Coffey, Christopher S, Siderowf, Andrew, Alcalay, Roy N, Trojanowski, John Q, Shaw, Leslie M, Seibyl, John, Singleton, Andrew, Toga, Arthur W, Galasko, Doug, Foroud, Tatiana, Nudelman, Kelly, Tosun-Turgut, Duygu, Poston, Kathleen, Weintraub, Daniel, Mollenhauer, Brit, Tanner, Caroline M, Kieburtz, Karl, Chahine, Lana M, Reimer, Alyssa, Hutten, Samantha, Bressman, Susan, Marek, Kenneth, and Parkinson's Progression Markers Initiative Investigators

Subjects
Parkinson's Progression Markers Initiative Investigators, Humans, Parkinson Disease, Glucosylceramidase, Leucine, Longitudinal Studies, Cross-Sectional Studies, Mutation, Disabled Persons, Dopamine Plasma Membrane Transport Proteins, Motor Disorders, Leucine-Rich Repeat Serine-Threonine Protein Kinase-2, Parkinson's disease, genetics, Aging, Neurodegenerative, Brain Disorders, Neurosciences, Parkinson's Disease, Clinical Research, 2.1 Biological and endogenous factors, Aetiology, Neurological, Clinical Sciences, Human Movement and Sports Sciences, Neurology & Neurosurgery
Abstract

BackgroundThere are limited data on the phenotypic and dopamine transporter (DAT) imaging characterization of the Parkinson's disease (PD) patients with leucine rich kinase 2 (LRRK2) and glucosylceramidase beta (GBA) mutations.ObjectiveThe objective of this study was to examine baseline clinical and DAT imaging characteristics in GBA and LRRK2 mutation carriers with early PD compared with sporadic PD.MethodsThe Parkinson's Progression Markers Initiative is an ongoing observational longitudinal study that enrolled participants with sporadic PD, LRRK2 and GBA PD carriers from 33 sites worldwide. All participants are assessed annually with a battery of motor and nonmotor scales, 123-I Ioflupane DAT imaging, and biologic variables.ResultsWe assessed 158 LRRK2 (89% G2019S), 80 GBA (89 %N370S), and 361 sporadic PD participants with the mean (standard deviation) disease duration of 2.9 (1.9), 3.1 (2.0), and 2.6 (0.6) years, respectively. When compared with sporadic PD, the GBA PD patients had no difference in any motor, cognitive, or autonomic features. The LRRK2 PD patients had less motor disability and lower rapid eye movement behavior disorder questionnaire scores, but no meaningful difference in cognitive or autonomic features. Both genetic cohorts had a higher score on the impulse control disorders scale when compared with sporadic PD, but no difference in other psychiatric features. Both genetic PD cohorts had less loss of dopamine transporter on DAT imaging when compared with sporadic PD.ConclusionsWe confirm previous reports of milder phenotype associated with LRRK2-PD. A previously reported more aggressive phenotype in GBA-PD is not evident early in the disease in N370s carriers. This observation identifies a window for potential disease-modifying interventions. Longitudinal data will be essential to define the slope of progression for both genetic cohorts.Trial registrationClinicalTrials.gov (NCT01141023). © 2020 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.

Published
2020

47. Clinical and dopamine transporter imaging characteristics of non-manifest LRRK2 and GBA mutation carriers in the Parkinson's Progression Markers Initiative (PPMI): a cross-sectional study.

Author

Simuni, Tanya, Uribe, Liz, Cho, Hyunkeun Ryan, Caspell-Garcia, Chelsea, Coffey, Christopher S, Siderowf, Andrew, Trojanowski, John Q, Shaw, Leslie M, Seibyl, John, Singleton, Andrew, Toga, Arthur W, Galasko, Doug, Foroud, Tatiana, Tosun, Duygu, Poston, Kathleen, Weintraub, Daniel, Mollenhauer, Brit, Tanner, Caroline M, Kieburtz, Karl, Chahine, Lana M, Reimer, Alyssa, Hutten, Samantha J, Bressman, Susan, Marek, Kenneth, and PPMI Investigators

Subjects
PPMI Investigators, Brain, Humans, Parkinson Disease, Glucosylceramidase, Cross-Sectional Studies, Heterozygote, Mutation, Aged, Middle Aged, Female, Male, Dopamine Plasma Membrane Transport Proteins, Prodromal Symptoms, Biomarkers, Leucine-Rich Repeat Serine-Threonine Protein Kinase-2, Neurosciences, Aging, Mental Health, Clinical Research, Neurodegenerative, Brain Disorders, Parkinson's Disease, 2.1 Biological and endogenous factors, Aetiology, Neurological, Clinical Sciences, Neurology & Neurosurgery
Abstract

BackgroundThe Parkinson's Progression Markers Initiative (PPMI) is an ongoing observational, longitudinal cohort study of participants with Parkinson's disease, healthy controls, and carriers of the most common Parkinson's disease-related genetic mutations, which aims to define biomarkers of Parkinson's disease diagnosis and progression. All participants are assessed annually with a battery of motor and non-motor scales, 123-I Ioflupane dopamine transporter (DAT) imaging, and biological variables. We aimed to examine whether non-manifesting carriers of LRRK2 and GBA mutations have prodromal features of Parkinson's disease that correlate with reduced DAT binding.MethodsThis cross-sectional analysis is based on assessments done at enrolment in the subset of non-manifesting carriers of LRRK2 and GBA mutations enrolled into the PPMI study from 33 participating sites worldwide. The primary objective was to examine baseline clinical and DAT imaging characteristics in non-manifesting carriers with GBA and LRRK2 mutations compared with healthy controls. DAT deficit was defined as less than 65% of putamen striatal binding ratio expected for the individual's age. We used t tests, χ2 tests, and Fisher's exact tests to compare baseline demographics across groups. An inverse probability weighting method was applied to control for potential confounders such as age and sex. To account for multiple comparisons, we applied a family-wise error rate to each set of analyses. This study is registered with ClinicalTrials.gov, number NCT01141023.FindingsBetween Jan 1, 2014, and Jan 1, 2019, the study enrolled 208 LRRK2 (93% G2019S) and 184 GBA (96% N370S) non-manifesting carriers. Both groups were similar with respect to mean age, and about 60% were female. Of the 286 (73%) non-manifesting carriers that had DAT imaging results, 18 (11%) LRRK2 and four (3%) GBA non-manifesting carriers had a DAT deficit. Compared with healthy controls, both LRRK2 and GBA non-manifesting carriers had significantly increased mean scores on the Movement Disorders Society Unified Parkinson's Disease Rating Scale (total score 4·6 [SD 4·4] healthy controls vs 8·4 [7·3] LRRK2 vs 9·5 [9·2] GBA, p

Published
2020

48. Ultrasonographic inferior vena cava diameter response to trauma resuscitation after 1 hour predicts 24-hour fluid requirement.

Author

Doucet, Jay Joseph, Ferrada, Paula, Murthi, Sarah, Nirula, Ram, Edwards, Sara, Cantrell, Emily, Han, Jinfeng, Haase, Daniel, Singleton, Andrew, Birkas, Yekaterina, Casola, Giovanna, and Coimbra, Raul

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Clinical Research, Physical Injury - Accidents and Adverse Effects, Prevention, Adult, Aged, Central Venous Pressure, Female, Fluid Therapy, Hospitalization, Humans, Hypovolemia, Injury Severity Score, Male, Middle Aged, Predictive Value of Tests, Prospective Studies, ROC Curve, Resuscitation, Time Factors, Treatment Outcome, Ultrasonography, Vena Cava, Inferior, Wounds and Injuries, Trauma, ultrasound, shock, resuscitation, vena cava, AAST Multi-Institutional Trials Committee, Clinical sciences, Nursing
Abstract

BackgroundIdentification of occult hypovolemia in trauma patients is difficult. We hypothesized that in acute trauma patients, the response of ultrasound-measured minimum inferior vena cava diameter (IVCDMIN), IVC Collapsibility Index (IVCCI), minimum internal jugular diameter (IJVDMIN) or IJV Collapsibility Index (IJVCI) after up to 1 hour of fluid resuscitation would predict 24-hour resuscitation intravenous fluid requirements (24FR).MethodsAn NTI-funded, American Association for the Surgery of Trauma Multi-Institutional Trials Committee prospective, cohort trial was conducted at four Level I Trauma Centers. Major trauma patients were screened for an IVCD of 12 mm or less or IVCCI of 50% or less on initial focused assessment sonographic evaluations for trauma. A second IVCD was obtained 40 minutes to 60 minutes later, after standard-of-care fluid resuscitation. Patients whose second measured IVCD was less than 10 mm were deemed nonrepleted (NONREPLETED), those 10 mm or greater were repleted (REPLETED). Prehospital and initial resuscitation fluids and 24FR were recorded. Demographics, Injury Severity Score, arterial blood gasses, length of stay, interventions, and complications were recorded. Means were compared by ANOVA and categorical variables were compared via χ. Receiver operating characteristic curves analysis was used to compare the measures as 24FR predictors.ResultsThere were 4,798 patients screened, 196 were identified with admission IVCD of 12 mm or IVCCI of 50% or less, 144 were enrolled. There were 86 REPLETED and 58 NONREPLETED. Demographics, initial hemodynamics, or laboratory measures were not significantly different. NONREPLETED had smaller IVCD (6.0 ± 3.7 mm vs. 14.2 ± 4.3 mm, p < 0.001) and higher IVCCI (41.7% ± 30.0% vs. 13.2% ± 12.7%, p < 0.001) but no significant difference in IJVD or IJVCCI. REPLETED had greater 24FR than NONREPLETED (2503 ± 1751 mL vs. 1,243 ± 1,130 mL, p = 0.003). Receiver operating characteristic analysis indicates IVCDMIN predicted 24FR (area under the curve [AUC], 0.74; 95% confidence interval [CI], 0.64-0.84; p < 0.001) as did IVCCI (AUC, 0.75; 95% CI, 0.65-0.85; p < 0.001) but not IJVDMIN (AUC, 0.48; 95% CI, 0.24-0.60; p = 0.747) or IJVCI (AUC, 0.54; 95% CI, 0.42-0.67; p = 0.591).ConclusionUltrasound assessed IVCDMIN and IVCCI response initial resuscitation predicts 24-hour fluid resuscitation requirements.Level of evidenceDiagnostic tests or criteria, level II.

Published
2020

49. An Index for Superconformal Quantum Mechanics

Author

Dorey, Nick and Singleton, Andrew

Subjects
High Energy Physics - Theory
Abstract

We study quantum mechanical systems with $\mathfrak{osp}(4^{*}|4)$ superconformal symmetry. We classify unitary lowest-weight representations of this superconformal algebra and define an index which receives contributions from short and semi-short multiplets only. We consider the example of a quantum mechanical $\sigma$-model with hyper-K\"{a}hler target $\mathcal{M}$ equipped with a triholomorphic homothety. The superconformal index coincides with the Witten index of a novel form of supersymmetric quantum mechanics for a particle moving on $\mathcal{M}$ in a background magnetic field in which an unbroken $\mathfrak{su}(1|2)$ subalgebra of the superconformal algebra is linearly realised as a global symmetry., Comment: 21 pages

Published
2018

50. Learning the progression and clinical subtypes of Alzheimer's disease from longitudinal clinical data

Author

Satone, Vipul, Kaur, Rachneet, Faghri, Faraz, Nalls, Mike A, Singleton, Andrew B, and Campbell, Roy H

Subjects
Computer Science - Machine Learning, Quantitative Biology - Quantitative Methods, Statistics - Machine Learning
Abstract

Alzheimer's disease (AD) is a degenerative brain disease impairing a person's ability to perform day to day activities. The clinical manifestations of Alzheimer's disease are characterized by heterogeneity in age, disease span, progression rate, impairment of memory and cognitive abilities. Due to these variabilities, personalized care and treatment planning, as well as patient counseling about their individual progression is limited. Recent developments in machine learning to detect hidden patterns in complex, multi-dimensional datasets provides significant opportunities to address this critical need. In this work, we use unsupervised and supervised machine learning approaches for subtype identification and prediction. We apply machine learning methods to the extensive clinical observations available at the Alzheimer's Disease Neuroimaging Initiative (ADNI) data set to identify patient subtypes and to predict disease progression. Our analysis depicts the progression space for the Alzheimer's disease into low, moderate and high disease progression zones. The proposed work will enable early detection and characterization of distinct disease subtypes based on clinical heterogeneity. We anticipate that our models will enable patient counseling, clinical trial design, and ultimately individualized clinical care., Comment: This volume represents the accepted submissions from the Machine Learning for Health (ML4H) workshop at the conference on Neural Information Processing Systems (NeurIPS) 2018, held on December 8, 2018 in Montreal, Canada

Published
2018

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