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  1. AU="Zhen, Jimmy"
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  3. AU="Garabiles, Melissa R."
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  1. Artikel ; Online: ClinGen Variant Curation Interface: a variant classification platform for the application of evidence criteria from ACMG/AMP guidelines.

    Preston, Christine G / Wright, Matt W / Madhavrao, Rao / Harrison, Steven M / Goldstein, Jennifer L / Luo, Xi / Wand, Hannah / Wulf, Bryan / Cheung, Gloria / Mandell, Mark E / Tong, Howard / Cheng, Shaung / Iacocca, Michael A / Pineda, Arturo Lopez / Popejoy, Alice B / Dalton, Karen / Zhen, Jimmy / Dwight, Selina S / Babb, Lawrence /
    DiStefano, Marina / O'Daniel, Julianne M / Lee, Kristy / Riggs, Erin R / Zastrow, Diane B / Mester, Jessica L / Ritter, Deborah I / Patel, Ronak Y / Subramanian, Sai Lakshmi / Milosavljevic, Aleksander / Berg, Jonathan S / Rehm, Heidi L / Plon, Sharon E / Cherry, J Michael / Bustamante, Carlos D / Costa, Helio A

    Genome medicine

    2022  Band 14, Heft 1, Seite(n) 6

    Abstract: Background: Identification of clinically significant genetic alterations involved in human disease has been dramatically accelerated by developments in next-generation sequencing technologies. However, the infrastructure and accessible comprehensive ... ...

    Abstract Background: Identification of clinically significant genetic alterations involved in human disease has been dramatically accelerated by developments in next-generation sequencing technologies. However, the infrastructure and accessible comprehensive curation tools necessary for analyzing an individual patient genome and interpreting genetic variants to inform healthcare management have been lacking.
    Results: Here we present the ClinGen Variant Curation Interface (VCI), a global open-source variant classification platform for supporting the application of evidence criteria and classification of variants based on the ACMG/AMP variant classification guidelines. The VCI is among a suite of tools developed by the NIH-funded Clinical Genome Resource (ClinGen) Consortium and supports an FDA-recognized human variant curation process. Essential to this is the ability to enable collaboration and peer review across ClinGen Expert Panels supporting users in comprehensively identifying, annotating, and sharing relevant evidence while making variant pathogenicity assertions. To facilitate evidence-based improvements in human variant classification, the VCI is publicly available to the genomics community. Navigation workflows support users providing guidance to comprehensively apply the ACMG/AMP evidence criteria and document provenance for asserting variant classifications.
    Conclusions: The VCI offers a central platform for clinical variant classification that fills a gap in the learning healthcare system, facilitates widespread adoption of standards for clinical curation, and is available at https://curation.clinicalgenome.org.
    Mesh-Begriff(e) Humans ; Genetic Testing ; Genetic Variation ; Genome, Human ; Genomics
    Sprache Englisch
    Erscheinungsdatum 2022-01-18
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 2484394-5
    ISSN 1756-994X ; 1756-994X
    ISSN (online) 1756-994X
    ISSN 1756-994X
    DOI 10.1186/s13073-021-01004-8
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel ; Online: ClinGen Allele Registry links information about genetic variants.

    Pawliczek, Piotr / Patel, Ronak Y / Ashmore, Lillian R / Jackson, Andrew R / Bizon, Chris / Nelson, Tristan / Powell, Bradford / Freimuth, Robert R / Strande, Natasha / Shah, Neethu / Paithankar, Sameer / Wright, Matt W / Dwight, Selina / Zhen, Jimmy / Landrum, Melissa / McGarvey, Peter / Babb, Larry / Plon, Sharon E / Milosavljevic, Aleksandar

    Human mutation

    2018  Band 39, Heft 11, Seite(n) 1690–1701

    Abstract: Effective exchange of information about genetic variants is currently hampered by the lack of readily available globally unique variant identifiers that would enable aggregation of information from different sources. The ClinGen Allele Registry addresses ...

    Abstract Effective exchange of information about genetic variants is currently hampered by the lack of readily available globally unique variant identifiers that would enable aggregation of information from different sources. The ClinGen Allele Registry addresses this problem by providing (1) globally unique "canonical" variant identifiers (CAids) on demand, either individually or in large batches; (2) access to variant-identifying information in a searchable Registry; (3) links to allele-related records in many commonly used databases; and (4) services for adding links to information about registered variants in external sources. A core element of the Registry is a canonicalization service, implemented using in-memory sequence alignment-based index, which groups variant identifiers denoting the same nucleotide variant and assigns unique and dereferenceable CAids. More than 650 million distinct variants are currently registered, including those from gnomAD, ExAC, dbSNP, and ClinVar, including a small number of variants registered by Registry users. The Registry is accessible both via a web interface and programmatically via well-documented Hypertext Transfer Protocol (HTTP) Representational State Transfer Application Programming Interface (REST-APIs). For programmatic interoperability, the Registry content is accessible in the JavaScript Object Notation for Linked Data (JSON-LD) format. We present several use cases and demonstrate how the linked information may provide raw material for reasoning about variant's pathogenicity.
    Mesh-Begriff(e) Alleles ; Databases, Genetic ; Genetic Variation/genetics ; Humans ; Registries ; Software
    Sprache Englisch
    Erscheinungsdatum 2018-10-10
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, N.I.H., Extramural
    ZDB-ID 1126646-6
    ISSN 1098-1004 ; 1059-7794
    ISSN (online) 1098-1004
    ISSN 1059-7794
    DOI 10.1002/humu.23637
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  3. Artikel ; Online: Deconvoluting complex correlates of COVID-19 severity with a multi-omic pandemic tracking strategy.

    Parikh, Victoria N / Ioannidis, Alexander G / Jimenez-Morales, David / Gorzynski, John E / De Jong, Hannah N / Liu, Xiran / Roque, Jonasel / Cepeda-Espinoza, Victoria P / Osoegawa, Kazutoyo / Hughes, Chris / Sutton, Shirley C / Youlton, Nathan / Joshi, Ruchi / Amar, David / Tanigawa, Yosuke / Russo, Douglas / Wong, Justin / Lauzon, Jessie T / Edelson, Jacob /
    Mas Montserrat, Daniel / Kwon, Yongchan / Rubinacci, Simone / Delaneau, Olivier / Cappello, Lorenzo / Kim, Jaehee / Shoura, Massa J / Raja, Archana N / Watson, Nathaniel / Hammond, Nathan / Spiteri, Elizabeth / Mallempati, Kalyan C / Montero-Martín, Gonzalo / Christle, Jeffrey / Kim, Jennifer / Kirillova, Anna / Seo, Kinya / Huang, Yong / Zhao, Chunli / Moreno-Grau, Sonia / Hershman, Steven G / Dalton, Karen P / Zhen, Jimmy / Kamm, Jack / Bhatt, Karan D / Isakova, Alina / Morri, Maurizio / Ranganath, Thanmayi / Blish, Catherine A / Rogers, Angela J / Nadeau, Kari / Yang, Samuel / Blomkalns, Andra / O'Hara, Ruth / Neff, Norma F / DeBoever, Christopher / Szalma, Sándor / Wheeler, Matthew T / Gates, Christian M / Farh, Kyle / Schroth, Gary P / Febbo, Phil / deSouza, Francis / Cornejo, Omar E / Fernandez-Vina, Marcelo / Kistler, Amy / Palacios, Julia A / Pinsky, Benjamin A / Bustamante, Carlos D / Rivas, Manuel A / Ashley, Euan A

    Nature communications

    2022  Band 13, Heft 1, Seite(n) 5107

    Abstract: The SARS-CoV-2 pandemic has differentially impacted populations across race and ethnicity. A multi-omic approach represents a powerful tool to examine risk across multi-ancestry genomes. We leverage a pandemic tracking strategy in which we sequence viral ...

    Abstract The SARS-CoV-2 pandemic has differentially impacted populations across race and ethnicity. A multi-omic approach represents a powerful tool to examine risk across multi-ancestry genomes. We leverage a pandemic tracking strategy in which we sequence viral and host genomes and transcriptomes from nasopharyngeal swabs of 1049 individuals (736 SARS-CoV-2 positive and 313 SARS-CoV-2 negative) and integrate them with digital phenotypes from electronic health records from a diverse catchment area in Northern California. Genome-wide association disaggregated by admixture mapping reveals novel COVID-19-severity-associated regions containing previously reported markers of neurologic, pulmonary and viral disease susceptibility. Phylodynamic tracking of consensus viral genomes reveals no association with disease severity or inferred ancestry. Summary data from multiomic investigation reveals metagenomic and HLA associations with severe COVID-19. The wealth of data available from residual nasopharyngeal swabs in combination with clinical data abstracted automatically at scale highlights a powerful strategy for pandemic tracking, and reveals distinct epidemiologic, genetic, and biological associations for those at the highest risk.
    Mesh-Begriff(e) COVID-19/epidemiology ; Genome, Viral ; Genome-Wide Association Study ; Humans ; Pandemics ; SARS-CoV-2/genetics
    Sprache Englisch
    Erscheinungsdatum 2022-08-30
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
    ZDB-ID 2553671-0
    ISSN 2041-1723 ; 2041-1723
    ISSN (online) 2041-1723
    ISSN 2041-1723
    DOI 10.1038/s41467-022-32397-8
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel: Molecular Transducers of Physical Activity Consortium (MoTrPAC): Mapping the Dynamic Responses to Exercise

    Sanford, James A / Nogiec, Christopher D / Lindholm, Malene E / Adkins, Joshua N / Amar, David / Dasari, Surendra / Drugan, Jonelle K / Fernández, Facundo M / Radom-Aizik, Shlomit / Schenk, Simon / Snyder, Michael P / Tracy, Russell P / Vanderboom, Patrick / Trappe, Scott / Walsh, Martin J / Evans, Charles R / Fernandez, Facundo M / Li, Yafeng / Tomlinson, Lyl /
    Lee Alekel, D / Bekirov, Iddil / Boyce, Amanda T / Boyington, Josephine / Fleg, Jerome L / Joseph, Lyndon J.O / Laughlin, Maren R / Maruvada, Padma / Morris, Stephanie A / McGowan, Joan A / Nierras, Concepcion / Pai, Vinay / Peterson, Charlotte / Ramos, Ed / Roary, Mary C / Williams, John P / Xia, Ashley / Cornell, Elaine / Rooney, Jessica / Miller, Michael E / Ambrosius, Walter T / Rushing, Scott / Stowe, Cynthia L / Jack Rejeski, W / Nicklas, Barbara J / Pahor, Marco / Lu, Ching-ju / Trappe, Todd / Chambers, Toby / Raue, Ulrika / Lester, Bridget / Bergman, Bryan C / Bessesen, David H / Jankowski, Catherine M / Kohrt, Wendy M / Melanson, Edward L / Moreau, Kerrie L / Schauer, Irene E / Schwartz, Robert S / Kraus, William E / Slentz, Cris A / Huffman, Kim M / Johnson, Johanna L / Willis, Leslie H / Kelly, Leslie / Houmard, Joseph A / Dubis, Gabriel / Broskey, Nick / Goodpaster, Bret H / Sparks, Lauren M / Coen, Paul M / Cooper, Dan M / Haddad, Fadia / Rankinen, Tuomo / Ravussin, Eric / Johannsen, Neil / Harris, Melissa / Jakicic, John M / Newman, Anne B / Forman, Daniel D / Kershaw, Erin / Rogers, Renee J / Nindl, Bradley C / Page, Lindsay C / Stefanovic-Racic, Maja / Barr, Susan L / Rasmussen, Blake B / Moro, Tatiana / Paddon-Jones, Doug / Volpi, Elena / Spratt, Heidi / Musi, Nicolas / Espinoza, Sara / Patel, Darpan / Serra, Monica / Gelfond, Jonathan / Burns, Aisling / Bamman, Marcas M / Buford, Thomas W / Cutter, Gary R / Bodine, Sue C / Esser, Karyn / Farrar, Rodger P / Goodyear, Laurie J / Hirshman, Michael F / Albertson, Brent G / Qian, Wei-Jun / Piehowski, Paul / Gritsenko, Marina A / Monore, Matthew E / Petyuk, Vladislav A / McDermott, Jason E / Hansen, Joshua N / Hutchison, Chelsea / Moore, Samuel / Gaul, David A / Clish, Clary B / Avila-Pacheco, Julian / Dennis, Courtney / Kellis, Manolis / Carr, Steve / Jean-Beltran, Pierre M / Keshishian, Hasmik / Mani, D.R / Clauser, Karl / Krug, Karsten / Mundorff, Charlie / Pearce, Cadence / Ivanova, Anna A / Ortlund, Eric A / Maner-Smith, Kristal / Uppal, Karan / Zhang, Tiantian / Sealfon, Stuart C / Zaslavsky, Elena / Nair, Venugopalan / Li, SiDe / Jain, Nimisha / Ge, YongChao / Sun, Yifei / Nudelman, German / Ruf-zamojski, Frederique / Smith, Gregory / Pincas, Nhanna / Rubenstein, Aliza / Anne Amper, Mary / Seenarine, Nitish / Lappalainen, Tuuli / Lanza, Ian R / Sreekumaran Nair, K / Klaus, Katherine / Montgomery, Stephen B / Smith, Kevin S / Gay, Nicole R / Zhao, Bingqing / Hung, Chia-Jiu / Zebarjadi, Navid / Balliu, Brunilda / Fresard, Laure / Burant, Charles F / Li, Jun Z / Kachman, Maureen / Soni, Tanu / Raskind, Alexander B / Gerszten, Robert / Robbins, Jeremy / Ilkayeva, Olga / Muehlbauer, Michael J / Newgard, Christopher B / Ashley, Euan A / Wheeler, Matthew T / Jimenez-Morales, David / Raja, Archana / Dalton, Karen P / Zhen, Jimmy / Suk Kim, Young / Christle, Jeffrey W / Marwaha, Shruti / Chin, Elizabeth T / Hershman, Steven G / Hastie, Trevor / Tibshirani, Robert / Rivas, Manuel A

    Cell. 2020 June 25, v. 181, no. 7

    2020  

    Abstract: Exercise provides a robust physiological stimulus that evokes cross-talk among multiple tissues that when repeated regularly (i.e., training) improves physiological capacity, benefits numerous organ systems, and decreases the risk for premature mortality. ...

    Körperschaft the Molecular Transducers of Physical Activity Consortium
    Abstract Exercise provides a robust physiological stimulus that evokes cross-talk among multiple tissues that when repeated regularly (i.e., training) improves physiological capacity, benefits numerous organ systems, and decreases the risk for premature mortality. However, a gap remains in identifying the detailed molecular signals induced by exercise that benefits health and prevents disease. The Molecular Transducers of Physical Activity Consortium (MoTrPAC) was established to address this gap and generate a molecular map of exercise. Preclinical and clinical studies will examine the systemic effects of endurance and resistance exercise across a range of ages and fitness levels by molecular probing of multiple tissues before and after acute and chronic exercise. From this multi-omic and bioinformatic analysis, a molecular map of exercise will be established. Altogether, MoTrPAC will provide a public database that is expected to enhance our understanding of the health benefits of exercise and to provide insight into how physical activity mitigates disease.
    Schlagwörter bioinformatics ; clinical trials ; databases ; disease control ; mortality ; risk ; strength training
    Sprache Englisch
    Erscheinungsverlauf 2020-0625
    Umfang p. 1464-1474.
    Erscheinungsort Elsevier Inc.
    Dokumenttyp Artikel
    ZDB-ID 187009-9
    ISSN 1097-4172 ; 0092-8674
    ISSN (online) 1097-4172
    ISSN 0092-8674
    DOI 10.1016/j.cell.2020.06.004
    Datenquelle NAL Katalog (AGRICOLA)

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