Browsing by Author "Screven, Laurel A."

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    Defining the causes of sporadic Parkinson's disease in the global Parkinson's genetics program (GP2)
    (Springer Nature, 2023-09-12) 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; Morris, Huw R.; Global Parkinson’s Genetics Program (GP2); Medical and Molecular Genetics, School of Medicine
    The Global Parkinson’s Genetics Program (GP2) will genotype over 150,000 participants from around the world, and integrate genetic and clinical data for use in large-scale analyses to dramatically expand our understanding of the genetic architecture of PD. This report details the workflow for cohort integration into the complex arm of GP2, and together with our outline of the monogenic hub in a companion paper, provides a generalizable blueprint for establishing large scale collaborative research consortia.
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    Harnessing diversity to study Alzheimer's disease: A new iPSC resource from the NIH CARD and ADNI
    (Elsevier, 2024) Screven, Laurel A.; Pantazis, Caroline B.; Andersh, Katherine M.; Hong, Samantha; Vitale, Dan; Lara, Erika; Ku, Ray Yueh; Heutink, Peter; Meyer, Jason; Faber, Kelley; Nho, Kwangsik; Saykin, Andrew J.; Foroud, Tatiana M.; Nalls, Mike A.; Blauwendraat, Cornelis; Singleton, Andrew; Narayan, Priyanka S.; Medical and Molecular Genetics, School of Medicine
    The iDA Project (iPSCs to Study Diversity in Alzheimer's and Alzheimer's Disease-related Dementias) is generating 200 induced pluripotent stem cell lines from Alzheimer's Disease Neuroimaging Initiative participants. These lines are sex balanced, include common APOE genotypes, span disease stages, and are ancestrally diverse. Cell lines and characterization data will be shared openly.