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Changes in expression of VGF, SPECC1L, HLA-DRA and RANBP3L act with APOE E4 to alter risk for late onset Alzheimer's disease.
Branciamore, Sergio; Gogoshin, Grigoriy; Rodin, Andrei S; Myers, Amanda J.
Afiliação
  • Branciamore S; Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte, CA, 91010, USA.
  • Gogoshin G; Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte, CA, 91010, USA.
  • Rodin AS; Department of Computational and Quantitative Medicine, Beckman Research Institute of the City of Hope, Duarte, CA, 91010, USA. arodin@coh.org.
  • Myers AJ; Department of Cell Biology, University of Miami Miller School of Medicine, Miami, FL, 33136, USA. profmyersUM@gmail.com.
Sci Rep ; 14(1): 14954, 2024 06 28.
Article em En | MEDLINE | ID: mdl-38942763
ABSTRACT
While there are currently over 40 replicated genes with mapped risk alleles for Late Onset Alzheimer's disease (LOAD), the Apolipoprotein E locus E4 haplotype is still the biggest driver of risk, with odds ratios for neuropathologically confirmed E44 carriers exceeding 30 (95% confidence interval 16.59-58.75). We sought to address whether the APOE E4 haplotype modifies expression globally through networks of expression to increase LOAD risk. We have used the Human Brainome data to build expression networks comparing APOE E4 carriers to non-carriers using scalable mixed-datatypes Bayesian network (BN) modeling. We have found that VGF had the greatest explanatory weight. High expression of VGF is a protective signal, even on the background of APOE E4 alleles. LOAD risk signals, considering an APOE background, include high levels of SPECC1L, HLA-DRA and RANBP3L. Our findings nominate several new transcripts, taking a combined approach to network building including known LOAD risk loci.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Aged / Aged80 / Female / Humans / Male Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Aged / Aged80 / Female / Humans / Male Idioma: En Ano de publicação: 2024 Tipo de documento: Article