Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Louisa, Dayton"'
Autor:
Madeline L. Page, Elizabeth L. Vance, Matthew E. Cloward, Ed Ringger, Louisa Dayton, Mark T. W. Ebbert, The Alzheimer’s Disease Neuroimaging Initiative, Justin B. Miller, John S. K. Kauwe
Publikováno v:
Communications Biology, Vol 5, Iss 1, Pp 1-15 (2022)
The Polygenic Risk Score Knowledge Base (PRSKB) is a web-based interface that stores data from >2,300 distinct genome-wide association studies, and can estimate polygenic risk scores for general use.
Externí odkaz:
https://doaj.org/article/af7775579420442e90265c4df3a69094
Autor:
Justin B. Miller, Elizabeth Ward, Lyndsay A. Staley, Jeffrey Stevens, Craig C. Teerlink, Justina P. Tavana, Matthew Cloward, Madeline Page, Louisa Dayton, Lisa A. Cannon-Albright, John S.K. Kauwe
Publikováno v:
Neurobiology of Disease, Vol 143, Iss , Pp 104972- (2020)
Background: Longevity as a phenotype entails living longer than average and typically includes living without chronic age-related diseases. Recently, several common genetic components to longevity have been identified. This study aims to identify add
Externí odkaz:
https://doaj.org/article/39c17493a9954e3caae63e7aaeffa7be
Autor:
Madeline Page, Elizabeth Vance, Matthew Cloward, Jeff Stevens, Lisa A. Cannon-Albright, Craig C. Teerlink, Justin B Miller, John S. K. Kauwe, Lyndsay A. Staley, Louisa Dayton, Justina P Tavana
Publikováno v:
Alzheimer's & Dementia. 18:307-317
Introduction Analysis of sequence data in high-risk pedigrees is a powerful approach to detect rare predisposition variants. Methods Rare, shared candidate predisposition variants were identified from exome sequencing 19 Alzheimer's disease (AD)-affe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31f91aab175bf6d20b3b30b240c776fb
https://doi.org/10.1002/alz.12397
https://doi.org/10.1002/alz.12397
Autor:
Madeline Page, Louisa Dayton, Adni Alzheimer’s Disease Neuroimaging Initiative, John S. K. Kauwe, Elizabeth Vance, Matthew Cloward, Justin B. Miller, Ed Ringger
Introduction: Genome-wide association (GWA) studies identify correlation between genetic variants and phenotypes. GWA findings can be used to calculate polygenic risk scores, which represent the aggregate genetic risk across all associated loci. Meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dcda4f07dff7f7d637a6c78989594e22
https://doi.org/10.21203/rs.3.rs-799235/v1
https://doi.org/10.21203/rs.3.rs-799235/v1
Autor:
Madeline L, Page, Elizabeth L, Vance, Matthew E, Cloward, Ed, Ringger, Louisa, Dayton, Mark T W, Ebbert, Justin B, Miller, L, Ravdin
Publikováno v:
Communications biology. 5(1)
The process of identifying suitable genome-wide association (GWA) studies and formatting the data to calculate multiple polygenic risk scores on a single genome can be laborious. Here, we present a centralized polygenic risk score calculator currentl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e19fcfa4066aee707867bbd9d5300572
https://pubmed.ncbi.nlm.nih.gov/36056235
https://pubmed.ncbi.nlm.nih.gov/36056235
Autor:
Craig C. Teerlink, Jeff Stevens, Matthew Cloward, Madeline Page, Louisa Dayton, Lyndsay A. Staley, Justina P Tavana, Justin B. Miller, Lisa A. Cannon-Albright, John S. K. Kauwe, Elizabeth Ward
Publikováno v:
Neurobiol Dis
Neurobiology of Disease, Vol 143, Iss, Pp 104972-(2020)
Neurobiology of Disease, Vol 143, Iss, Pp 104972-(2020)
BackgroundLongevity as a phenotype entails living longer than average and typically includes living without chronic age-related diseases. Recently, several common genetic components to longevity have been identified. This study aims to identify addit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2899487a875cf472fefde2d311f71eef
https://europepmc.org/articles/PMC7461696/
https://europepmc.org/articles/PMC7461696/