These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

203 related articles for article (PubMed ID: 33411734)

  • 1. Network propagation of rare variants in Alzheimer's disease reveals tissue-specific hub genes and communities.
    Scelsi MA; Napolioni V; Greicius MD; Altmann A;
    PLoS Comput Biol; 2021 Jan; 17(1):e1008517. PubMed ID: 33411734
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Codon bias among synonymous rare variants is associated with Alzheimer's disease imaging biomarker.
    Miller JE; Shivakumar MK; Risacher SL; Saykin AJ; Lee S; Nho K; Kim D
    Pac Symp Biocomput; 2018; 23():365-376. PubMed ID: 29218897
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Pilot whole-exome sequencing of a German early-onset Alzheimer's disease cohort reveals a substantial frequency of PSEN2 variants.
    Blauwendraat C; Wilke C; Jansen IE; Schulte C; Simón-Sánchez J; Metzger FG; Bender B; Gasser T; Maetzler W; Rizzu P; Heutink P; Synofzik M
    Neurobiol Aging; 2016 Jan; 37():208.e11-208.e17. PubMed ID: 26522186
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Knowledge-driven binning approach for rare variant association analysis: application to neuroimaging biomarkers in Alzheimer's disease.
    Kim D; Basile AO; Bang L; Horgusluoglu E; Lee S; Ritchie MD; Saykin AJ; Nho K
    BMC Med Inform Decis Mak; 2017 May; 17(Suppl 1):61. PubMed ID: 28539126
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Rare variants in the splicing regulatory elements of EXOC3L4 are associated with brain glucose metabolism in Alzheimer's disease.
    Miller JE; Shivakumar MK; Lee Y; Han S; Horgousluoglu E; Risacher SL; Saykin AJ; Nho K; Kim D;
    BMC Med Genomics; 2018 Sep; 11(Suppl 3):76. PubMed ID: 30255815
    [TBL] [Abstract][Full Text] [Related]  

  • 6. A parameter-efficient deep learning approach to predict conversion from mild cognitive impairment to Alzheimer's disease.
    Spasov S; Passamonti L; Duggento A; Liò P; Toschi N;
    Neuroimage; 2019 Apr; 189():276-287. PubMed ID: 30654174
    [TBL] [Abstract][Full Text] [Related]  

  • 7. [Analysis of genetic difference between mild cognitive impairment and Alzheimer's disease through genome-wide association study].
    Bai Z; Kong X
    Zhonghua Yi Xue Yi Chuan Xue Za Zhi; 2018 Jun; 35(3):342-346. PubMed ID: 29896728
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Key variants via the Alzheimer's Disease Sequencing Project whole genome sequence data.
    Wang Y; Sarnowski C; Lin H; Pitsillides AN; Heard-Costa NL; Choi SH; Wang D; Bis JC; Blue EE; ; Boerwinkle E; De Jager PL; Fornage M; Wijsman EM; Seshadri S; Dupuis J; Peloso GM; DeStefano AL;
    Alzheimers Dement; 2024 May; 20(5):3290-3304. PubMed ID: 38511601
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Genetic variation of oxidative phosphorylation genes in stroke and Alzheimer's disease.
    Biffi A; Sabuncu MR; Desikan RS; Schmansky N; Salat DH; Rosand J; Anderson CD;
    Neurobiol Aging; 2014 Aug; 35(8):1956.e1-8. PubMed ID: 24650791
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Prognosis prediction model for conversion from mild cognitive impairment to Alzheimer's disease created by integrative analysis of multi-omics data.
    Shigemizu D; Akiyama S; Higaki S; Sugimoto T; Sakurai T; Boroevich KA; Sharma A; Tsunoda T; Ochiya T; Niida S; Ozaki K
    Alzheimers Res Ther; 2020 Nov; 12(1):145. PubMed ID: 33172501
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Genomic convergence and network analysis approach to identify candidate genes in Alzheimer's disease.
    Talwar P; Silla Y; Grover S; Gupta M; Agarwal R; Kushwaha S; Kukreti R
    BMC Genomics; 2014 Mar; 15(1):199. PubMed ID: 24628925
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Genome-wide significant risk factors for Alzheimer's disease: role in progression to dementia due to Alzheimer's disease among subjects with mild cognitive impairment.
    Lacour A; Espinosa A; Louwersheimer E; Heilmann S; Hernández I; Wolfsgruber S; Fernández V; Wagner H; Rosende-Roca M; Mauleón A; Moreno-Grau S; Vargas L; Pijnenburg YA; Koene T; Rodríguez-Gómez O; Ortega G; Ruiz S; Holstege H; Sotolongo-Grau O; Kornhuber J; Peters O; Frölich L; Hüll M; Rüther E; Wiltfang J; Scherer M; Riedel-Heller S; Alegret M; Nöthen MM; Scheltens P; Wagner M; Tárraga L; Jessen F; Boada M; Maier W; van der Flier WM; Becker T; Ramirez A; Ruiz A
    Mol Psychiatry; 2017 Jan; 22(1):153-160. PubMed ID: 26976043
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Association analysis of rare variants near the APOE region with CSF and neuroimaging biomarkers of Alzheimer's disease.
    Nho K; Kim S; Horgusluoglu E; Risacher SL; Shen L; Kim D; Lee S; Foroud T; Shaw LM; Trojanowski JQ; Aisen PS; Petersen RC; Jack CR; Weiner MW; Green RC; Toga AW; Saykin AJ;
    BMC Med Genomics; 2017 May; 10(Suppl 1):29. PubMed ID: 28589856
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Whole-exome rare-variant analysis of Alzheimer's disease and related biomarker traits.
    Küçükali F; Neumann A; Van Dongen J; De Pooter T; Joris G; De Rijk P; Ohlei O; Dobricic V; Bos I; Vos SJB; Engelborghs S; De Roeck E; Vandenberghe R; Gabel S; Meersmans K; Tsolaki M; Verhey F; Martinez-Lage P; Tainta M; Frisoni G; Blin O; Richardson JC; Bordet R; ; Scheltens P; Popp J; Peyratout G; Johannsen P; Frölich L; Freund-Levi Y; Streffer J; Lovestone S; Legido-Quigley C; Kate MT; Barkhof F; Zetterberg H; Bertram L; Strazisar M; Visser PJ; Van Broeckhoven C; Sleegers K;
    Alzheimers Dement; 2023 Jun; 19(6):2317-2331. PubMed ID: 36464806
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Increased CNV-region deletions in mild cognitive impairment (MCI) and Alzheimer's disease (AD) subjects in the ADNI sample.
    Guffanti G; Torri F; Rasmussen J; Clark AP; Lakatos A; Turner JA; Fallon JH; Saykin AJ; Weiner M; ; Vawter MP; Knowles JA; Potkin SG; Macciardi F
    Genomics; 2013 Aug; 102(2):112-22. PubMed ID: 23583670
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Effects of HLA-DRB1/DQB1 Genetic Variants on Neuroimaging in Healthy, Mild Cognitive Impairment, and Alzheimer's Disease Cohorts.
    Wang ZX; Wang HF; Tan L; Liu J; Wan Y; Sun FR; Tan MS; Tan CC; Jiang T; Tan L; Yu JT;
    Mol Neurobiol; 2017 Jul; 54(5):3181-3188. PubMed ID: 27056075
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Genome-wide pathway analysis of memory impairment in the Alzheimer's Disease Neuroimaging Initiative (ADNI) cohort implicates gene candidates, canonical pathways, and networks.
    Ramanan VK; Kim S; Holohan K; Shen L; Nho K; Risacher SL; Foroud TM; Mukherjee S; Crane PK; Aisen PS; Petersen RC; Weiner MW; Saykin AJ;
    Brain Imaging Behav; 2012 Dec; 6(4):634-48. PubMed ID: 22865056
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Region-based analysis of rare genomic variants in whole-genome sequencing datasets reveal two novel Alzheimer's disease-associated genes: DTNB and DLG2.
    Prokopenko D; Lee S; Hecker J; Mullin K; Morgan S; Katsumata Y; ; Weiner MW; Fardo DW; Laird N; Bertram L; Hide W; Lange C; Tanzi RE
    Mol Psychiatry; 2022 Apr; 27(4):1963-1969. PubMed ID: 35246634
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Visualizing modules of coordinated structural brain atrophy during the course of conversion to Alzheimer's disease by applying methodology from gene co-expression analysis.
    Sato K; Mano T; Matsuda H; Senda M; Ihara R; Suzuki K; Arai H; Ishii K; Ito K; Ikeuchi T; Kuwano R; Toda T; Iwatsubo T; Iwata A;
    Neuroimage Clin; 2019; 24():101957. PubMed ID: 31400633
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Frontobasal gray matter loss is associated with the TREM2 p.R47H variant.
    Luis EO; Ortega-Cubero S; Lamet I; Razquin C; Cruchaga C; Benitez BA; Lorenzo E; Irigoyen J; ; Pastor MA; Pastor P
    Neurobiol Aging; 2014 Dec; 35(12):2681-2690. PubMed ID: 25027412
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 11.