Carlos Cruchaga, United States of America

Washington University School of Medicine Psychiatry
Dr. Cruchaga is a human genomicist with expertise in multiomics, informatics, and neurodegeneration. He completed his PhD in Biochemistry and Molecular Biology in 2005 at the University of Navarra in Spain. During his first postdoc with Dr. Pastor he conducted statistical human genetics studies focused on Alzheimer’s disease (AD) and Parkinson's disease (PD). He then moved to Dr. Goate's Lab to complete his training in quantitative human genomics. Dr. Cruchaga established his laboratory at Washington University in 2011 to study the genetic architecture of neurodegenerative diseases. His interests are focused on using human genomic and other -omic data (proteomics, metabolomics, and lipidomics) to identify and understand the biological processes that lead to AD, PD, frontotemporal dementia, and other neurodegenerative processes. He is the funding director of the NeuroGenomics and Informatics Center at Washington University.

Moderator of 1 Session

LIVE SYMPOSIUM DISCUSSION

LIVE DISCUSSION - RNA

Date
12.03.2021, Friday
Session Time
15:30 - 16:00
Session Icon
Live

Presenter of 2 Presentations

CIRCULAR RNAS ARE SIGNIFICANTLY ASSOCIATED WITH BOTH SYMPTOMATIC AND PRE-SYMPTOMATIC ALZHEIMER’S DISEASE

Session Name
Session Type
SYMPOSIUM
Date
12.03.2021, Friday
Session Time
08:00 - 10:00
Room
On Demand Symposia C
Lecture Time
09:30 - 09:45
Session Icon
On-Demand

Abstract

Aims

Circular RNAs (circRNAs) are a class of RNAs highly expressed in the nervous system and enriched in synaptoneurosomes. A recent study suggest that circCDR1-as is downregulated in the frontal cortex of Alzheimer’s Disease (AD) patients. A study investigating whether other circRNAs are differentially expressed in the context of AD remains outstanding. Here, we conduct an analysis of circRNA expression to explore the relevance of circRNA expression in AD.

Methods

We generated RNA-seq data from 83 individuals with AD and 16 control individuals. We performed circRNA differential expression (DE) analysis on the basis of clinical dementia rating (CDR). We replicated the DE analyses using publically available superior temporal cortex RNA sequencing data from the Mount Sinai Brain Bank (173 AD cases and 63 controls) and performed a meta-analysis.

Results

On meta-analysis, we observed six circRNAs to be significantly DE on the basis of CDR. This included the previously reported circCDR1-as (p-value: 1.66×10-6), as well as five novel ones: circHOMER1 (p-value: 3.30×10-9), circDOCK1 (p-value: 4.17×10-9), circPEX5L (p-value: 6.12×10-6), circKCNN2 (p-value: 6.12 × 10-6), and circMLIP (p-value: 8.45 × 10-6). When included in a model with AD risk factors (number of APOE-4 alleles, gender, age at death, and ethnicity), the circRNAs collectively contributed more than 34% of the variation in CDR in our parietal dataset. In contrast, number of APOE-4 alleles, the most common genetic risk factor, only explained 9% of the variation in CDR. Multiple circRNAs are differentially expressed in AD brain tissues.

Conclusions

Together these circRNAs contribute substantially to the variation in CDR.

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