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  1. Article ; Online: Uncovering the complexities of biological structures with network-based learning: An application in SARS-CoV-2.

    Faghri, Faraz / Nalls, Mike A

    Patterns (New York, N.Y.)

    2021  Volume 2, Issue 5, Page(s) 100259

    Abstract: Network-based learning enables the identification of possible undiscovered interactions in biological systems. In this issue ... ...

    Abstract Network-based learning enables the identification of possible undiscovered interactions in biological systems. In this issue of
    Language English
    Publishing date 2021-04-15
    Publishing country United States
    Document type News
    ISSN 2666-3899
    ISSN (online) 2666-3899
    DOI 10.1016/j.patter.2021.100259
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Federated Learning for multi-omics: a performance evaluation in Parkinson's disease.

    Danek, Benjamin / Makarious, Mary B / Dadu, Anant / Vitale, Dan / Lee, Paul Suhwan / Nalls, Mike A / Sun, Jimeng / Faghri, Faraz

    bioRxiv : the preprint server for biology

    2024  

    Abstract: While machine learning (ML) research has recently grown more in popularity, its application in the omics domain is constrained by access to sufficiently large, high-quality datasets needed to train ML models. Federated Learning (FL) represents an ... ...

    Abstract While machine learning (ML) research has recently grown more in popularity, its application in the omics domain is constrained by access to sufficiently large, high-quality datasets needed to train ML models. Federated Learning (FL) represents an opportunity to enable collaborative curation of such datasets among participating institutions. We compare the simulated performance of several models trained using FL against classically trained ML models on the task of multi-omics Parkinson's Disease prediction. We find that FL model performance tracks centrally trained ML models, where the most performant FL model achieves an AUC-PR of 0.876 ± 0.009, 0.014 ± 0.003 less than its centrally trained variation. We also determine that the dispersion of samples within a federation plays a meaningful role in model performance. Our study implements several open source FL frameworks and aims to highlight some of the challenges and opportunities when applying these collaborative methods in multi-omics studies.
    Language English
    Publishing date 2024-02-12
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.10.04.560604
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Genetics of NLRP3 suggests lack of involvement and inefficient druggability in Parkinson's disease.

    Senkevich, Konstantin / Liu, Lang / Alvarado, Chelsea X / Leonard, Hampton L / Nalls, Mike A / Gan-Or, Ziv

    medRxiv : the preprint server for health sciences

    2023  

    Abstract: Activation of the NLRP3-inflammasome has been proposed to play a role in Parkinson's disease pathogenesis based ... ...

    Abstract Activation of the NLRP3-inflammasome has been proposed to play a role in Parkinson's disease pathogenesis based on
    Language English
    Publishing date 2023-09-23
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.09.20.23295790
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Human brain single nucleus cell type enrichments in neurodegenerative diseases.

    Alvarado, Chelsea X / Weller, Cory A / Johnson, Nicholas / Leonard, Hampton L / Singleton, Andrew B / Reed, Xylena / Blauewendraat, Cornelis / Nalls, Mike A

    Research square

    2023  

    Abstract: Background: Single-cell RNA sequencing has opened a window into clarifying the complex underpinnings of disease, particularly in quantifying the relevance of tissue- and cell-type-specific gene expression.: Methods: To identify the cell types and ... ...

    Abstract Background: Single-cell RNA sequencing has opened a window into clarifying the complex underpinnings of disease, particularly in quantifying the relevance of tissue- and cell-type-specific gene expression.
    Methods: To identify the cell types and genes important to therapeutic target development across the neurodegenerative disease spectrum, we leveraged genome-wide association studies, recent single-cell sequencing data, and bulk expression studies in a diverse series of brain region tissues.
    Results: We were able to identify significant immune-related cell types in the brain across three major neurodegenerative diseases: Alzheimer's disease, amyotrophic lateral sclerosis, and Parkinson's disease. Subsequently, putative roles of 30 fine-mapped loci implicating seven genes in multiple neurodegenerative diseases and their pathogenesis were identified.
    Conclusions: We have helped refine the genetic regions and cell types effected across multiple neurodegenerative diseases, helping focus future translational research efforts.
    Language English
    Publishing date 2023-11-15
    Publishing country United States
    Document type Preprint
    DOI 10.21203/rs.3.rs-3390225/v1
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Genome-wide meta-analysis of CSF biomarkers in Alzheimer's disease and Parkinson's disease cohorts.

    Ta, Michael / Blauwendraat, Cornelis / Antar, Tarek / Leonard, Hampton L / Singleton, Andrew B / Nalls, Mike A / Iwaki, Hirotaka

    medRxiv : the preprint server for health sciences

    2023  

    Abstract: Background: Amyloid beta (Aβ), phosphorylated tau (p-tau), and total tau (t-tau) in cerebrospinal fluid are established biomarkers for Alzheimer's disease (AD). In other neurodegenerative diseases, such as Parkinson's disease (PD), these biomarkers have ...

    Abstract Background: Amyloid beta (Aβ), phosphorylated tau (p-tau), and total tau (t-tau) in cerebrospinal fluid are established biomarkers for Alzheimer's disease (AD). In other neurodegenerative diseases, such as Parkinson's disease (PD), these biomarkers have also been found to be altered, and the molecular mechanisms responsible for these alterations are still under investigation. Moreover, the interplay between these mechanisms and the diverse underlying disease states remains to be elucidated.
    Objectives: To investigate genetic contributions to the AD biomarkers and assess the commonality and heterogeneity of the associations per underlying disease status.
    Methods: We conducted GWAS for the AD biomarkers on subjects from the Parkinson's Progression Markers Initiative (PPMI), the Fox Investigation for New Discovery of Biomarkers (BioFIND), and the Alzheimer's Disease Neuroimaging Initiative (ADNI) and meta-analyzed with the largest AD GWAS.[7] We tested heterogeneity of associations of interest between different disease statuses (AD, PD, and control).
    Results: We observed three GWAS signals: the
    Conclusions: Our study identified a novel association at the intronic region of
    Language English
    Publishing date 2023-06-19
    Publishing country United States
    Document type Preprint
    DOI 10.1101/2023.06.13.23291354
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Genome-Wide Meta-Analysis of Cerebrospinal Fluid Biomarkers in Alzheimer's Disease and Parkinson's Disease Cohorts.

    Ta, Michael / Blauwendraat, Cornelis / Antar, Tarek / Leonard, Hampton L / Singleton, Andrew B / Nalls, Mike A / Iwaki, Hirotaka

    Movement disorders : official journal of the Movement Disorder Society

    2023  Volume 38, Issue 9, Page(s) 1697–1705

    Abstract: Background: Amyloid-β, phosphorylated tau (p-tau), and total tau (t-tau) in cerebrospinal fluid are established biomarkers for Alzheimer's disease (AD). In other neurodegenerative diseases, such as Parkinson's disease (PD), these biomarkers have also ... ...

    Abstract Background: Amyloid-β, phosphorylated tau (p-tau), and total tau (t-tau) in cerebrospinal fluid are established biomarkers for Alzheimer's disease (AD). In other neurodegenerative diseases, such as Parkinson's disease (PD), these biomarkers have also been found to be altered, and the molecular mechanisms responsible for these alterations are still under investigation. Moreover, the interplay between these mechanisms and the diverse underlying disease states remains to be elucidated.
    Objective: To investigate genetic contributions to the AD biomarkers and assess the commonality and heterogeneity of the associations per underlying disease status.
    Methods: We conducted genome-wide association studies (GWASs) for the AD biomarkers on subjects from the Parkinson's Progression Markers Initiative, the Fox Investigation for New Discovery of Biomarkers, and the Alzheimer's Disease Neuroimaging Initiative, and meta-analyzed with the largest AD GWAS. We tested heterogeneity of associations of interest between different disease statuses (AD, PD, and control).
    Results: We observed three GWAS signals: the APOE locus for amyloid-β, the 3q28 locus between GEMC1 and OSTN for p-tau and t-tau, and the 7p22 locus (top hit: rs60871478, an intronic variant for DNAAF5, also known as HEATR2) for p-tau. The 7p22 locus is novel and colocalized with the brain DNAAF5 expression. Although no heterogeneity from underlying disease status was observed for the earlier GWAS signals, some disease risk loci suggested disease-specific associations with these biomarkers.
    Conclusions: Our study identified a novel association at the intronic region of DNAAF5 associated with increased levels of p-tau across all diseases. We also observed some disease-specific genetic associations with these biomarkers. Published 2023. This article is a U.S. Government work and is in the public domain in the USA.
    MeSH term(s) Humans ; Alzheimer Disease/genetics ; Alzheimer Disease/cerebrospinal fluid ; Parkinson Disease/genetics ; Parkinson Disease/cerebrospinal fluid ; Genome-Wide Association Study ; tau Proteins/genetics ; tau Proteins/cerebrospinal fluid ; Amyloid beta-Peptides/cerebrospinal fluid ; Biomarkers/cerebrospinal fluid ; Peptide Fragments/cerebrospinal fluid ; Muscle Proteins/genetics ; Transcription Factors/genetics
    Chemical Substances tau Proteins ; Amyloid beta-Peptides ; Biomarkers ; Peptide Fragments ; OSTN protein, human ; Muscle Proteins ; Transcription Factors
    Language English
    Publishing date 2023-08-04
    Publishing country United States
    Document type Meta-Analysis ; Journal Article ; Research Support, N.I.H., Extramural ; Research Support, U.S. Gov't, Non-P.H.S. ; Research Support, N.I.H., Intramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 607633-6
    ISSN 1531-8257 ; 0885-3185
    ISSN (online) 1531-8257
    ISSN 0885-3185
    DOI 10.1002/mds.29511
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Federated learning for multi-omics: A performance evaluation in Parkinson's disease.

    Danek, Benjamin P / Makarious, Mary B / Dadu, Anant / Vitale, Dan / Lee, Paul Suhwan / Singleton, Andrew B / Nalls, Mike A / Sun, Jimeng / Faghri, Faraz

    Patterns (New York, N.Y.)

    2024  Volume 5, Issue 3, Page(s) 100945

    Abstract: While machine learning (ML) research has recently grown more in popularity, its application in the omics domain is constrained by access to sufficiently large, high-quality datasets needed to train ML models. Federated learning (FL) represents an ... ...

    Abstract While machine learning (ML) research has recently grown more in popularity, its application in the omics domain is constrained by access to sufficiently large, high-quality datasets needed to train ML models. Federated learning (FL) represents an opportunity to enable collaborative curation of such datasets among participating institutions. We compare the simulated performance of several models trained using FL against classically trained ML models on the task of multi-omics Parkinson's disease prediction. We find that FL model performance tracks centrally trained ML models, where the most performant FL model achieves an AUC-PR of 0.876 ± 0.009, 0.014 ± 0.003 less than its centrally trained variation. We also determine that the dispersion of samples within a federation plays a meaningful role in model performance. Our study implements several open-source FL frameworks and aims to highlight some of the challenges and opportunities when applying these collaborative methods in multi-omics studies.
    Language English
    Publishing date 2024-03-01
    Publishing country United States
    Document type Journal Article
    ISSN 2666-3899
    ISSN (online) 2666-3899
    DOI 10.1016/j.patter.2024.100945
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Open science in precision medicine for neurodegenerative diseases.

    Leonard, Hampton L / Nalls, Mike A / Day-Williams, Aaron / Esmaeeli, Sahar / Jarreau, Paige / Bandres-Ciga, Sara / Heutink, Peter / Sardi, S Pablo / Singleton, Andrew B

    Nature reviews. Drug discovery

    2024  Volume 23, Issue 4, Page(s) 233–234

    MeSH term(s) Humans ; Precision Medicine ; Neurodegenerative Diseases/drug therapy ; Neurodegenerative Diseases/genetics
    Language English
    Publishing date 2024-01-29
    Publishing country England
    Document type News
    ZDB-ID 2062954-0
    ISSN 1474-1784 ; 1474-1776
    ISSN (online) 1474-1784
    ISSN 1474-1776
    DOI 10.1038/d41573-024-00017-3
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  9. Article ; Online: The genetic architecture of Parkinson's disease.

    Blauwendraat, Cornelis / Nalls, Mike A / Singleton, Andrew B

    The Lancet. Neurology

    2019  Volume 19, Issue 2, Page(s) 170–178

    Abstract: Parkinson's disease is a complex neurodegenerative disorder for which both rare and common genetic variants contribute to disease risk, onset, and progression. Mutations in more than 20 genes have been associated with the disease, most of which are ... ...

    Abstract Parkinson's disease is a complex neurodegenerative disorder for which both rare and common genetic variants contribute to disease risk, onset, and progression. Mutations in more than 20 genes have been associated with the disease, most of which are highly penetrant and often cause early onset or atypical symptoms. Although our understanding of the genetic basis of Parkinson's disease has advanced considerably, much remains to be done. Further disease-related common genetic variability remains to be identified and the work in identifying rare risk alleles has only just begun. To date, genome-wide association studies have identified 90 independent risk-associated variants. However, most of them have been identified in patients of European ancestry and we know relatively little of the genetics of Parkinson's disease in other populations. We have a limited understanding of the biological functions of the risk alleles that have been identified, although Parkinson's disease risk variants appear to be in close proximity to known Parkinson's disease genes and lysosomal-related genes. In the past decade, multiple efforts have been made to investigate the genetic architecture of Parkinson's disease, and emerging technologies, such as machine learning, single-cell RNA sequencing, and high-throughput screens, will improve our understanding of genetic risk.
    MeSH term(s) Dementia/genetics ; Disease Progression ; Genetic Predisposition to Disease/genetics ; Genome-Wide Association Study ; Humans ; Mutation/genetics ; Neurodegenerative Diseases/diagnosis ; Neurodegenerative Diseases/genetics ; Parkinson Disease/diagnosis ; Parkinson Disease/genetics ; Risk Factors
    Language English
    Publishing date 2019-09-11
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 2081241-3
    ISSN 1474-4465 ; 1474-4422
    ISSN (online) 1474-4465
    ISSN 1474-4422
    DOI 10.1016/S1474-4422(19)30287-X
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: GBA1 rs3115534 Is Associated with REM Sleep Behavior Disorder in Parkinson's Disease in Nigerians.

    Ojo, Oluwadamilola Omolara / Bandres-Ciga, Sara / Makarious, Mary B / Crea, Peter Wild / Hernandez, Dena G / Houlden, Henry / Rizig, Mie / Singleton, Andrew B / Noyce, Alastair J / Nalls, Mike A / Blauwendraat, Cornelis / Okubadejo, Njideka Ulunma

    Movement disorders : official journal of the Movement Disorder Society

    2024  Volume 39, Issue 4, Page(s) 728–733

    Abstract: Background: Rapid eye movement (REM) sleep behavior disorder (RBD) is an early feature of Parkinson's disease (PD) and dementia with Lewy bodies (DLB). Damaging coding variants in Glucocerebrosidase (GBA1) are a genetic risk factor for RBD. Recently, a ... ...

    Abstract Background: Rapid eye movement (REM) sleep behavior disorder (RBD) is an early feature of Parkinson's disease (PD) and dementia with Lewy bodies (DLB). Damaging coding variants in Glucocerebrosidase (GBA1) are a genetic risk factor for RBD. Recently, a population-specific non-coding risk variant (rs3115534) was found to be associated with PD risk and earlier onset in individuals of African ancestry.
    Objectives: We aimed to investigate whether the GBA1 rs3115534 PD risk variant is associated with RBD in persons with PD.
    Methods: We studied 709 persons with PD and 776 neurologically healthy controls from Nigeria. All DNA samples were genotyped and imputed, and the GBA1 rs3115534 risk variant was extracted. The RBD screening questionnaire (RBDSQ) was used to assess symptoms of possible RBD.
    Results: RBD was present in 200 PD (28.2%) and 51 (6.6%) controls. We identified that the non-coding GBA1 rs3115534 risk variant is associated with possible RBD in individuals of Nigerian origin (β, 0.3640; standard error [SE], 0.103, P = 4.093e-04), as well as in all samples after adjusting for PD status (β, 0.2542; SE, 0.108; P = 0.019) suggesting that although non-coding, this variant may have the same downstream consequences as GBA1 coding variants.
    Conclusions: Our results indicate that the non-coding GBA1 rs3115534 risk variant is associated with an increasing number of RBD symptoms in persons with PD of Nigerian origin. Further research is needed to assess if this variant is also associated with polysomnography-defined RBD and with RBD symptoms in DLB. © 2024 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
    MeSH term(s) Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Genetic Predisposition to Disease ; Genotype ; Glucosylceramidase/genetics ; Nigeria ; Parkinson Disease/genetics ; Parkinson Disease/complications ; Polymorphism, Single Nucleotide ; REM Sleep Behavior Disorder/genetics ; West African People ; Young Adult ; Adult
    Chemical Substances GBA protein, human (EC 3.2.1.45) ; Glucosylceramidase (EC 3.2.1.45)
    Language English
    Publishing date 2024-02-23
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 607633-6
    ISSN 1531-8257 ; 0885-3185
    ISSN (online) 1531-8257
    ISSN 0885-3185
    DOI 10.1002/mds.29753
    Database MEDical Literature Analysis and Retrieval System OnLINE

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