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SCFD1 expression quantitative trait loci in amyotrophic lateral sclerosis are differentially expressed

Authors :
Ahmad Al-Khleifat
Philip Van Damme
Richard Dobson
Leonard H. van den Berg
Wim Robberecht
Adriano Chiò
Vincenzo Silani
Peter M. Andersen
Aleksey Shatunov
Bradley N. Smith
Jan H. Veldink
Isabella Fogh
Orla Hardiman
Alfredo Iacoangeli
Simon Topp
Christopher Shaw
Sashika Selvackadunco
Antonia Ratti
Gerome Breen
Andrea Calvo
Sarah Opie-Martin
Claire Troakes
Ammar Al-Chalabi
Ashley R. Jones
Wouter van Rheenen
Source :
Brain Communications
Publication Year :
2021
Publisher :
Oxford University Press (OUP), 2021.

Abstract

Evidence indicates that common variants found in genome-wide association studies increase risk of disease through gene regulation via expression Quantitative Trait Loci. Using multiple genome-wide methods, we examined if Single Nucleotide Polymorphisms increase risk of Amyotrophic Lateral Sclerosis through expression Quantitative Trait Loci, and whether expression Quantitative Trait Loci expression is consistent across people who had Amyotrophic Lateral Sclerosis and those who did not. In combining public expression Quantitative Trait Loci data with Amyotrophic Lateral Sclerosis genome-wide association studies, we used Summary-data-based Mendelian Randomization to confirm that SCFD1 was the only gene that was genome-wide significant in mediating Amyotrophic Lateral Sclerosis risk via expression Quantitative Trait Loci (Summary-data-based Mendelian Randomization beta = 0.20, standard error = 0.04, P-value = 4.29 × 10−6). Using post-mortem motor cortex, we tested whether expression Quantitative Trait Loci showed significant differences in expression between Amyotrophic Lateral Sclerosis (n = 76) and controls (n = 25), genome-wide. Of 20 757 genes analysed, the two most significant expression Quantitative Trait Loci to show differential in expression between Amyotrophic Lateral Sclerosis and controls involve two known Amyotrophic Lateral Sclerosis genes (SCFD1 and VCP). Cis-acting SCFD1 expression Quantitative Trait Loci downstream of the gene showed significant differences in expression between Amyotrophic Lateral Sclerosis and controls (top expression Quantitative Trait Loci beta = 0.34, standard error = 0.063, P-value = 4.54 × 10−7). These SCFD1 expression Quantitative Trait Loci also significantly modified Amyotrophic Lateral Sclerosis survival (number of samples = 4265, hazard ratio = 1.11, 95% confidence interval = 1.05–1.17, P-value = 2.06 × 10−4) and act as an Amyotrophic Lateral Sclerosis trans-expression Quantitative Trait Loci hotspot for a wider network of genes enriched for SCFD1 function and Amyotrophic Lateral Sclerosis pathways. Using gene-set analyses, we found the genes that correlate with this trans-expression Quantitative Trait Loci hotspot significantly increase risk of Amyotrophic Lateral Sclerosis (beta = 0.247, standard deviation = 0.017, P = 0.001) and schizophrenia (beta = 0.263, standard deviation = 0.008, P-value = 1.18 × 10−5), a disease that genetically correlates with Amyotrophic Lateral Sclerosis. In summary, SCFD1 expression Quantitative Trait Loci are a major factor in Amyotrophic Lateral Sclerosis, not only influencing disease risk but are differentially expressed in post-mortem Amyotrophic Lateral Sclerosis. SCFD1 expression Quantitative Trait Loci show distinct expression profiles in Amyotrophic Lateral Sclerosis that correlate with a wider network of genes that also confer risk of the disease and modify the disease’s duration.<br />Previous research indicates DNA variants that increase risk of Amyotrophic Lateral Sclerosis (ALS) correlate with SCFD1 RNA activity. Iacoangeli et al. report that SCFD1 RNA and DNA variants are differentially active in ALS, which not only increases risk of the disease but modifies its duration, confirming their involvement in ALS.<br />Graphical Abstract Graphical Abstract

Details

ISSN :
26321297
Volume :
3
Database :
OpenAIRE
Journal :
Brain Communications
Accession number :
edsair.doi.dedup.....c6504ee81478fbaa810cfe045c26b005
Full Text :
https://doi.org/10.1093/braincomms/fcab236