154 research outputs found
SNP based strategies to study candidate genes for Alzheimer’s disease
Alzheimer’s disease (AD) is the most common form of dementia in the elderly. It is a genetically heterogeneous disease characterized by progressive cognitive decline and memory impairment. The rare familial form of AD is caused by three different genes called APP, PSEN1 and PSEN2. However, the predominant form of AD is a genetically complex disorder involving a combination of genetic factors. To date, the only risk factor identified for the complex form of AD is the APOE-epsilon 4 allele, but several susceptibility genes remain to be found.This thesis outlines different strategies to use common genetic variation, in the form of single nucleotide polymorphisms (SNPs), to examine candidate genes and candidate regions for AD. Large-scale genotyping is a prerequisite for performing complex disease studies using SNPs. The validity and accuracy of a newly developed genotyping assay called Dynamic allele specific hybridization (DASH) was therefore investigated. DASH was shown to be a robust genotyping method, and was proven to work as well or better than several other available methods. 'the method was first implemented for a candidate gene association study of a promoter polymorphism in the TNFRSF6 gene. Significant association was found between this variant and early onset AD, indicating its possible role in disease etiology.A large candidate pathway association study effort was then started testing for association between AD and 60 different SNPs. Genes were picked from four different pathways related to AD; oxidation, inflammation/apoptosis, amyloid interacting genes and a group of candidate genes previously showing significant association with AD. None of the markers showed significant disease association after correction for multiple testing. Although largely negative, these results high-lighted several methodological and study design issues related to association studies in general.The most successful approach yet in dissecting complex disease using genetic variation has been to perform high resolution linkage disequilibrium (LD) mapping of regions indicated by linkage. Several independent research groups recently reported linkage peaks for AD on chromosome 10q We choose two regions under the 10q linkage peak for LD mapping studies. The first region contained the previously associated TNFRSF6 gene, and the other region included the insulin-degrading enzyme (IDE) gene, which has been shown to be involved in clearance of amyloid-beta. LD maps were created for all pair-wise markers in the two regions to determine the genetic LD structure. Haplotypes were estimated and haplotype tagging markers were chosen for further analysis.Association analyses were performed for both single markers and haplotypes for case/control status as well as for quantitative traits related to the AD phenotype. Only weak significant signals were found for the TNFRSF6 gene. However, several significant associations were found for a large LD block including the IDE gene. The same haplotypes were always over-represented in cases compared to controls, or with more severe AD within the patient groups. These results indicate a role in AD for one of the three genes situated within the 276kb LD block including the IDE, KNSLI and HHEX genes. Further studies will now be required to identify the underlying risk alleles within the region.List of scientific papersI. Feuk L, Prince JA, Breen G, Emahazion T, Carothers A, St Clair D, Brookes AJ (2000). Apolipoprotein-E dependent role for the FAS receptor in early onset Alzheimers disease: finding of a positive association for a polymorphism in the TNFRSF6 gene. Hum Genet. 107(4): 391-6. https://pubmed.ncbi.nlm.nih.gov/11129341II. Prince JA, Feuk L, Howell WM, Jobs M, Emahazion T, Blennow K, Brookes AJ (2001). Robust and accurate single nucleotide polymorphism genotyping by dynamic allele-specific hybridization (DASH): design criteria and assay validation. Genome Res. 11(1): 152-62. https://pubmed.ncbi.nlm.nih.gov/11156624III. Emahazion T, Feuk L, Jobs M, Sawyer SL, Fredman D, St Clair D, Prince JA, Brookes AJ (2001). SNP association studies in Alzheimers disease highlight problems for complex disease analysis. Trends Genet. 17(7): 407-13. https://pubmed.ncbi.nlm.nih.gov/11418222IV. Feuk L, Prince JA, Blennow K, Brookes AJ (2002). Further evidence for role of a promoter variant in the TNFRSF6 gene in Alzheimers disease. Hum Mut.V. Prince JA, Feuk L, Gu HF, Gatz M, Blennow K, Brookes AJ (2002). Genetic variation in a haplotype block spanning IDE, KNSL1 and HHEX influences Alzheimers disease. [Manuscript]</p
Inversion variants in the human genome : role in disease and genome architecture
Significant advances have been made over the past 5 years in mapping and characterizing structural variation in the human genome. Despite this progress, our understanding of inversion variants is still very restricted. While unbalanced variants such as copy number variations can be mapped using array-based approaches, strategies for characterization of inversion variants have been limited and underdeveloped. Traditional cytogenetic approaches have long been able to identify microscopic inversion events, but discovery of submicroscopic events has remained elusive and largely ignored. With the advent of paired-end sequencing approaches, it is now possible to map inversions across the human genome. Based on the paired-end sequencing studies published to date, it is now feasible to make a first map of inversions across the human genome and to use this map to explore the characteristics and distribution of this form of variation. The current map of inversions indicates that many remain to be identified, especially in the smaller size ranges. This review provides an overview of the current knowledge about human inversions and their contribution to human phenotypes. Further characterization of inversions should be considered as an important step towards a deeper understanding of human variation and genome dynamics
Absence of a paternally inherited fox p2 gene in developmental verbal dyspraxia
Mutations in FOXP2 cause developmental verbal dyspraxia (DVD), but only a few cases have been described. We characterize 13 patients with DVD\u975 with hemizygous paternal deletions spanning the FOXP2 gene, 1 with a translocation interrupting FOXP2, and the remaining 7 with maternal uniparental disomy of chromosome 7 (UPD7), who were also given a diagnosis of Silver-Russell Syndrome (SRS). Of these individuals with DVD, all 12 for whom parental DNA was available showed absence of a paternal copy of FOXP2. Five other individuals with deletions of paternally inherited FOXP2 but with incomplete clinical information or phenotypes too complex to properly assess are also described. Four of the patients with DVD also meet criteria for autism spectrum disorder. Individuals with paternal UPD7 or with partial maternal UPD7 or deletion starting downstream of FOXP2 do not have DVD. Using quantitative real-time polymerase chain reaction, we show the maternally inherited FOXP2 to be comparatively underexpressed. Our results indicate that absence of paternal FOXP2 is the cause of DVD in patients with SRS with maternal UPD7. The data also point to a role for differential parent-of-origin expression of FOXP2 in human speech development
ASHG 2008 Annual Meeting: from enormous cohorts to individual genomes.
http://dx.doi.org/10.1186/gm
Characterization of copy number‐stable regions in the human genome
In the past few years the number of copy number variants (CNVs) identified in the human genome has increased significantly, but our understanding of the functional impact of CNVs is still limited. Clinically significant variations cannot easily be distinguished from benign, complicating interpretation of patient data. Multiple studies have focused on analysis of regions that vary in copy number in specific disorders. Here we use the opposite strategy and focus our analysis on regions that never seem to vary in the general population, hypothesizing that these are copy number stable because variations within them are deleterious. Our results show that copy number stable regions are characterized by correlation with a number of genomic features, allowing us to define a list of genomic regions that are dosage sensitive in humans. We find that these dosage-sensitive regions show significant overlap with de novo CNVs identified in patients with intellectual disability or autism. There is also a significant association between copy number stable regions and rare inherited variants in autism patients, but not in controls. Based on this predictive power, we propose that copy number stable regions can be used to complement maps of known CNVs to facilitate interpretation of patient data.</p
Splicing in the Human Brain
It has become increasingly clear over the past decade that RNA has important functions in human cells beyond its role as an intermediate translator of DNA to protein. It is now known that RNA plays highly specific roles in pathways involved in regulatory, structural, and catalytic functions. The complexity of RNA production and regulation has become evident with the advent of high-throughput methods to study the transcriptome. Deep sequencing has revealed an enormous diversity of RNA types and transcript isoforms in human cells. The transcriptome of the human brain is particularly interesting as it contains more expressed genes than other tissues and also displays an extreme diversity of transcript isoforms, indicating that highly complex regulatory pathways are present in the brain. Several of these regulatory proteins are now identified, including RNA-binding proteins that are neuron specific. RNA-binding proteins also play important roles in regulating the splicing process and the temporal and spatial isoform production. While significant progress has been made in understanding the human transcriptome, many questions still remain regarding the basic mechanisms of splicing and subcellular localization of RNA. A long-standing question is to what extent the splicing of pre-mRNA is cotranscriptional and posttranscriptional, respectively. Recent data, including studies of the human brain, indicate that splicing is primarily cotranscriptional in human cells. This chapter describes the current understanding of splicing and splicing regulation in the human brain and discusses the recent global sequence-based analyses of transcription and splicing.</p
Exome RNA sequencing reveals rare and novel alternative transcripts
RNA sequencing has become an important method to perform hypothesis-free characterization of global gene expression. One of the limitations of RNA sequencing is that most sequence reads represent highly expressed transcripts, whereas low level transcripts are challenging to detect. To combine the benefits of traditional expression arrays with the advantages of RNA sequencing, we have used whole exome enrichment prior to sequencing of total RNA. We show that whole exome capture can be successfully applied to cDNA to study the transcriptional landscape in human tissues. By introducing the exome enrichment step, we are able to identify transcripts present at very low levels, which are below the level of detection in conventional RNA sequencing. Although the enrichment increases the ability to detect presence of transcripts, it also lowers the accuracy of quantification of expression levels. Our results yield a large number of novel exons and splice isoforms, suggesting that conventional RNA sequencing methods only detect a small fraction of the full transcript diversity. We propose that whole exome enrichment of RNA is a suitable strategy for genome-wide discovery of novel transcripts, alternative splice variants and fusion genes.</p
Transcriptome analysis of fibroblasts from schizophrenia patients reveals differential expression of schizophrenia-related genes
Schizophrenia is a complex neurodevelopmental disorder with high rate of morbidity and mortality. While the heritability rate is high, the precise etiology is still unknown. Although schizophrenia is a central nervous system disorder, studies using peripheral tissues have also been established to search for patient specific biomarkers and to increase understanding of schizophrenia etiology. Among all peripheral tissues, fibroblasts stand out as they are easy to obtain and culture. Furthermore, they keep genetic stability for long period and exhibit molecular similarities to cells from nervous system. Using a unique set of fibroblast samples from a genetically isolated population in northern Sweden, we performed whole transcriptome sequencing to compare differentially expressed genes in seven controls and nine patients. We found differential fibroblast expression between cases and controls for 48 genes, including eight genes previously implicated in schizophrenia or schizophrenia related pathways; HGF, PRRT2, EGR1, EGR3, C11orf87, TLR3, PLEKHH2 and PIK3CD. Weighted gene correlation network analysis identified three differentially co-expressed networks of genes significantly-associated with schizophrenia. All three modules were significantly suppressed in patients compared to control, with one module highly enriched in genes involved in synaptic plasticity, behavior and synaptic transmission. In conclusion, our results support the use of fibroblasts for identification of differentially expressed genes in schizophrenia and highlight dysregulation of synaptic networks as an important mechanism in schizophrenia
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