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Author Title Type [ Year(Asc)]
Filters: Keyword is Humans and Author is Saykin, Andrew J  [Clear All Filters]
2021
Kim JPyo, Kim B-H, Bice PJ, Seo SWon, Bennett DA, Saykin AJ, Nho K.  2021.  BMI1 is associated with CS8F amyloid-β and rates of cognitive decline in Alzheimer's disease.. Alzheimers Res Ther. 13(1):164.
Yan Q, Nho K, Del-Aguila JL, Wang X, Risacher SL, Fan K-H, Snitz BE, Aizenstein HJ, Mathis CA, Lopez OL et al..  2021.  Genome-wide association study of brain amyloid deposition as measured by Pittsburgh Compound-B (PiB)-PET imaging.. Mol Psychiatry. 26(1):309-321.
Kunkle BW, Schmidt M, Klein H-U, Naj AC, Hamilton-Nelson KL, Larson EB, Evans DA, De Jager PL, Crane PK, Buxbaum JD et al..  2021.  Novel Alzheimer Disease Risk Loci and Pathways in African American Individuals Using the African Genome Resources Panel: A Meta-analysis.. JAMA Neurol. 78(1):102-113.
Wang S, Lindroth H, Chan C, Greene R, Serrano-Andrews P, Khan S, Rios G, Jabbari S, Lim J, Saykin AJ et al..  2021.  A Systematic Review of Delirium Biomarkers and Their Alignment with the NIA-AA Research Framework.. J Am Geriatr Soc. 69(1):255-263.
2020
Du L, Liu F, Liu K, Yao X, Risacher SL, Han J, Saykin AJ, Shen L.  2020.  Associating Multi-Modal Brain Imaging Phenotypes and Genetic Risk Factors via a Dirty Multi-Task Learning Method.. IEEE Trans Med Imaging. 39(11):3416-3428.
Raghavan NS, Dumitrescu L, Mormino E, Mahoney ER, Lee AJ, Gao Y, Bilgel M, Goldstein D, Harrison T, Engelman CD et al..  2020.  Association Between Common Variants in RBFOX1, an RNA-Binding Protein, and Brain Amyloidosis in Early and Preclinical Alzheimer Disease.. JAMA Neurol. 77(10):1288-1298.
Kling MA, Goodenowe DB, Senanayake V, MahmoudianDehkordi S, Arnold M, Massaro TJ, Baillie R, Han X, Leung Y-Y, Saykin AJ et al..  2020.  Circulating ethanolamine plasmalogen indices in Alzheimer's disease: Relation to diagnosis, cognition, and CSF tau.. Alzheimers Dement. 16(9):1234-1247.
Peng B, Yao X, Risacher SL, Saykin AJ, Shen L, Ning X.  2020.  Cognitive biomarker prioritization in Alzheimer's Disease using brain morphometric data.. BMC Med Inform Decis Mak. 20(1):319.
Jo T, Nho K, Risacher SL, Saykin AJ.  2020.  Deep learning detection of informative features in tau PET for Alzheimer's disease classification.. BMC Bioinformatics. 21(Suppl 21):496.
Grasby KL, Jahanshad N, Painter JN, Colodro-Conde L, Bralten J, Hibar DP, Lind PA, Pizzagalli F, Ching CRK, McMahon MAgnes B et al..  2020.  The genetic architecture of the human cerebral cortex.. Science. 367(6484)
Mukherjee S, Mez J, Trittschuh EH, Saykin AJ, Gibbons LE, Fardo DW, Wessels M, Bauman J, Moore M, Choi S-E et al..  2020.  Genetic data and cognitively defined late-onset Alzheimer's disease subgroups.. Mol Psychiatry. 25(11):2942-2951.
Dumitrescu L, Mahoney ER, Mukherjee S, Lee ML, Bush WS, Engelman CD, Lu Q, Fardo DW, Trittschuh EH, Mez J et al..  2020.  Genetic variants and functional pathways associated with resilience to Alzheimer's disease.. Brain. 143(8):2561-2575.
Sherva R, Gross A, Mukherjee S, Koesterer R, Amouyel P, Bellenguez C, Dufouil C, Bennett DA, Chibnik L, Cruchaga C et al..  2020.  Genome-wide association study of rate of cognitive decline in Alzheimer's disease patients identifies novel genes and pathways.. Alzheimers Dement. 16(8):1134-1145.
Nho K, Nudelman K, Allen M, Hodges A, Kim S, Risacher SL, Apostolova LG, Lin K, Lunnon K, Wang X et al..  2020.  Genome-wide transcriptome analysis identifies novel dysregulated genes implicated in Alzheimer's pathology.. Alzheimers Dement. 16(9):1213-1223.
2019
Satizabal CL, Adams HHH, Hibar DP, White CC, Knol MJ, Stein JL, Scholz M, Sargurupremraj M, Jahanshad N, Roshchupkin GV et al..  2019.  Genetic architecture of subcortical brain structures in 38,851 individuals.. Nat Genet. 51(11):1624-1636.
Kunkle BW, Grenier-Boley B, Sims R, Bis JC, Damotte V, Naj AC, Boland A, Vronskaya M, van der Lee SJ, Amlie-Wolf A et al..  2019.  Genetic meta-analysis of diagnosed Alzheimer's disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing.. Nat Genet. 51(3):414-430.
2018
Jian X, Satizabal CL, Smith AV, Wittfeld K, Bis JC, Smith JA, Hsu F-C, Nho K, Hofer E, Hagenaars SP et al..  2018.  Exome Chip Analysis Identifies Low-Frequency and Rare Variants in MRPL38 for White Matter Hyperintensities on Brain Magnetic Resonance Imaging.. Stroke. 49(8):1812-1819.

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