Study of Irish Amyotrophic Lateral Sclerosis (SIALS)
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ABSTRACT:
PROVIDER: PRJNA74873 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Sporadic Amyotrophic Lateral Sclerosis Study
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Project description:This SuperSeries is composed of the following subset Series: GSE39642: NanoString nCounter immune-related gene expression in blood sorted CD14+CD16- monocytes from sALS, fALS and HC subjects GSE39643: NanoString miRNA profiling of peripheral blood sorted CD14+CD16- monocytes from amyotrophic lateral sclerosis, multiple sclerosis and healthy control subjects Refer to individual Series
2012-07-25 | E-GEOD-39644 | biostudies-arrayexpress
Project description:Identification of amyotrophic lateral sclerosis (ALS) associated genes. Post mortem spinal cord grey matter from sporadic and familial ALS patients compared with controls. Keywords: other
2003-11-14 | GSE833 | GEO
Project description:Identification of familial amyotrophic lateral sclerosis (fALS) related genes. Material from three hSOD1(G93A) transgenic mice was compared to material from three non-transgenic control mice using an alternating loop design on two-colour cDNA microarrays. Statistical data management and analysis: postgreSQL relational database (www.postgresql.org), Perl, and R (www.r-project.org); pin-wise lowess-regression based normalisation (Yang et al., 2002 [PMID: 11842121]); mixed ANOVA-model. Keywords = amyotrophic lateral sclerosis, ALS, SOD1 mouse model
2010-06-05 | E-GEOD-2400 | biostudies-arrayexpress
Project description:This study was designed to identify gene expression changes in skeletal muscle that could define reliably the degree of the severity of Amyotrophic lateral sclerosis (ALS). All samples were from human biopsies, either from healthy muscles or from muscle whose patients were clearly diagnosed as having Amyotrophic Lateral Sclerosis (ALS)
2012-01-17 | E-MEXP-3260 | biostudies-arrayexpress
Project description:Identification of familial amyotrophic lateral sclerosis (fALS) related genes. Material from three hSOD1(G93A) transgenic mice was compared to material from three non-transgenic control mice using an alternating loop design on two-colour cDNA microarrays. Statistical data management and analysis: postgreSQL relational database (www.postgresql.org), Perl, and R (www.r-project.org); pin-wise lowess-regression based normalisation (Yang et al., 2002 [PMID: 11842121]); mixed ANOVA-model. Keywords = amyotrophic lateral sclerosis, ALS, SOD1 mouse model Keywords: other
2005-12-31 | GSE2400 | GEO
Project description:Spatiotemporal dynamics of molecular pathology in amyotrophic lateral sclerosis
2019-04-05 | GSE120374 | GEO
Project description:Genome-wide association study of amyotrophic lateral sclerosis in Finland
| PRJNA75849 | ENA
Project description:Abnormal RNA stability in amyotrophic lateral sclerosis
| PRJNA474513 | ENA
Project description:<p>Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease characterized by loss of motor neurons. Epidemiological studies indicate that 2-5% of cases are familial, usually with an autosomal dominant pattern of inheritance. For a portion of these, causative genes have been identified. The remaining 95% of ALS cases are described as sporadic, and believed to result from a combination of genetic and environmental factors.</p> <p>This study utilized samples from Irish patients with sporadic ALS and Irish control individuals. The aim of the study was to identify susceptibility alleles for ALS in the Irish population. Genome-wide, single-nucleotide polymorphism (SNP) genotyping was undertaken using Illumina 550K version 3 chips. Genotyping data are available on 221 SALS patients and 211 controls.</p> <p>Future work will aim to examine ALS genetic risk at individual sequence level. As an initial step, as of September 2010 we have made available the human genome sequence from a single anonymous male control individual from the SIALS collection.</p> <p>Recent studies generating complete human sequences from Asian, African and European subgroupings have revealed population specific variation and illuminated disease susceptibility loci. The Irish population is of interest because of its location at the periphery of Europe and also the impact its emigrants have had on the genetics of populations in a number of other countries. We have identified sequence variants that may be specific to this population and have identified potentially novel disease associated variants. We describe a novel method for improving SNP calling accuracy at low genome coverage using haplotype information. Overall we demonstrate utility in generating whole genome sequences to test general principles and reveal specific instances of human biology. With increasing access to low cost sequencing we would predict that similar studies will emerge.</p>
| phs000127 | dbGaP