RCMI Coordinating Center (RCMI CC) Header Logo

Connection

Lang Wu to Alzheimer Disease

This is a "connection" page, showing publications Lang Wu has written about Alzheimer Disease.
Connection Strength

2.364
  1. Liu S, Zhong H, Zhu J, Wu L. Identification of blood metabolites associated with risk of Alzheimer's disease by integrating genomics and metabolomics data. Mol Psychiatry. 2024 Apr; 29(4):1153-1162.
    View in: PubMed
    Score: 0.492
  2. Zhu J, Liu S, Walker KA, Zhong H, Ghoneim DH, Zhang Z, Surendran P, Fahle S, Butterworth A, Alam MA, Deng HW, Wu C, Wu L. Associations between genetically predicted plasma protein levels and Alzheimer's disease risk: a study using genetic prediction models. Alzheimers Res Ther. 2024 01 11; 16(1):8.
    View in: PubMed
    Score: 0.492
  3. Sun Y, Zhu J, Yang Y, Zhang Z, Zhong H, Zeng G, Zhou D, Nowakowski RS, Long J, Wu C, Wu L. Identification of candidate DNA methylation biomarkers related to Alzheimer's disease risk by integrating genome and blood methylome data. Transl Psychiatry. 2023 12 13; 13(1):387.
    View in: PubMed
    Score: 0.489
  4. Sun Y, Bae YE, Zhu J, Zhang Z, Zhong H, Yu J, Wu C, Wu L. A splicing transcriptome-wide association study identifies novel altered splicing for Alzheimer's disease susceptibility. Neurobiol Dis. 2023 08; 184:106209.
    View in: PubMed
    Score: 0.473
  5. Sun Y, Zhu J, Zhou D, Canchi S, Wu C, Cox NJ, Rissman RA, Gamazon ER, Wu L. A transcriptome-wide association study of Alzheimer's disease using prediction models of relevant tissues identifies novel candidate susceptibility genes. Genome Med. 2021 09 01; 13(1):141.
    View in: PubMed
    Score: 0.418
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
RCMI CC is supported by the National Institute on Minority Health and Health Disparities, National Institutes of Health (NIH), through Grant Number U24MD015970. The contents of this site are solely the responsibility of the authors and do not necessarily represent the official views of the NIH

For technical support please contact support