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• Oxidative DNA damage and ubiquitin proteasome system dysfunction underpins neurodegeneration in young adults with a DNA repair disorder

  Xeroderma pigmentosum (XP) is caused by defective nucleotide excision-repair of DNA damage. This results in hypersensitivity to ultraviolet light and increased skin cancer risk, as sunlight-induced photoproducts remain unrepaired. However, many XP patients also display early-onset neurodegeneration, which leads to premature death. The mechanism of neurodegeneration is unknown. Here, we investigate XP neurodegeneration using pluripotent stem cells derived from XP patients and healthy relatives, performing functional multi-omics on samples during neuronal differentiation. We have identified substantially increased levels of 5',8-cyclopurine and 8-oxopurine in XP neuronal DNA secondary to marked oxidative stress. Furthermore, we find endoplasmic reticulum stress is upregulated, and, critically, XP neurons exhibit inappropriate downregulation of the protein clearance ubiquitin-proteasome system (UPS). Chemical enhancement of UPS activity improves phenotypes, albeit inadequately, implying that early detection/prevention strategies are necessary to produce clinically impactful outcomes. Thus, we develop an early detection assay predicting neurodegeneration in at-risk patients.

  Study EGAS50000000158

• Common Variant GWAS, Genetics & Epidemiology of Colorectal Cancer Consortium (GECCO)

  Genetics & Epidemiology of Colorectal Cancer Consortium (GECCO) is a collaborative effort which aims to accelerate the discovery of colorectal cancer-related variants by discovering, replicating and fine-mapping Genome Wide Association Study (GWAS) findings, conducting a meta-analysis of GWAS data, and investigating how genetic variants are modified by environmental risk factors. The coordinating center for this consortium is based at the Fred Hutchinson Cancer Research Center (Principal investigator: Ulrike Peters). The GECCO Consortium is utilized in the following dbGaP individual studies. To view genotypes, and derived variables collected in these individual studies, please click on the following individual studies below or in the "Sub-studies" box located on the right hand side of this top-level study page phs001078 GECCO Consortium. phs000965 VITAL phs001056 DALS phs001077 WHI Colorectal Cancer phs001092 PMH CCFR phs001094 PLCO phs001104 ASTERISK phs001113 DACHS phs001114 HPFS phs001128 PHS phs001129 NHS phs001170 Colo2and3 phs001171MEC Colorectal Cancer

  Study phs001078

• International Multiple Sclerosis Genomics Consortium (IMSGC) Genome Wide Association Study of Multiple Sclerosis

  The goal of this study is to perform a comprehensive allelic and genotypic association analysis of the entire human genome in multiple sclerosis. The recent definitive linkage genome screen demonstrated that there is no other MS risk gene with an effect size anywhere near that of the MHC. However, linkage analysis is significantly hampered by reduced power in the face of heterogeneity and requires multiplex families, which also hampers acquiring an appropriate sample size. In contrast, genotyping 500K SNPs allows us to survey a significant amount of the genome (we estimate >70%) directly for allelic or genotypic association. This uses the improved power of association analysis and can also take advantage of the linkage disequilibrium relationships among SNPs to further increase power (e.g. haplotype analysis). Quality control and data analysis are significant challenges. We will initially perform substantial QC checks and analyze the data using both TDT and AFBAC approaches. Multigenic interactions will also be tested using MDR.

  Study phs000139

• Mitochondrial Abnormalities in Schizophrenia and Bipolar Disorder

  Mitochondrial DNA structural variation is one proposed indicator of mitochondrial dysfunction. The large common deletion of mitochondrial DNA (mtDNA) increases with aging across multiple brain regions. We found other large deletions of mtDNA in brain at levels comparable to the common deletion (PMID: 30869147). Since mtDNA molecules replicate independently of nuclear division, the mtDNA copy number is a measure of mitochondrial health; levels are negatively correlated with age and all-cause morbidity. Complex I activity is another functional measure of mitochondria. We previously published a subset of this data from DLPFC (PMID: 29594135) for three indicators (common deletion, mtDNA copy number, Complex I activity). For this study, four indicators (common deletion, large deletions, mtDNA copy number, Complex I activity) were measured in four brain regions from subjects with schizophrenia (SZ) and bipolar disorder (BD) and compared to controls. The four brain regions were: the dorsolateral prefrontal cortex, superior temporal gyrus, primary visual cortex (V1), and nucleus accumbens.    

  Study phs002395

• Genome-Wide Association Study of Parkinson Disease: Genes and Environment

  This is a gene-environment study of Parkinson's disease. PD is a common, progressive, age-related, movement disorder that affects 1-2% of the people over the age of 65. The NeuroGenetics Research Consortium (NGRC) is the infrastructure of the study. Protocols and methods are standardized across NGRC clinics and labs as much as possible. The 2000 patients and 2000 control subjects selected for this GWAS were recruited at the NGRC-affiliated movement disorder clinics in Oregon, Washington, Georgia and New York. All 4000 subjects were white and all DNA samples were extracted from whole blood and unamplified. Seventy-five percent of subjects have data on cigarette smoking and caffeinated coffee consumption, which are inversely associated with PD risk. This study population represents the norm for clinical genetic studies of PD; i.e., NGRC estimates of risk to relatives, heritability, genotype frequencies, and exposure frequencies (see references) are very close to estimates from meta-analyses.

  Study phs000196

• A Comprehensive Platform for Analyzing Longitudinal Multi-Omics Data

  PALMO (Platform for Analyzing Longitudinal Multi-omics data) is a platform for analyzing longitudinal data from bulk as well as single cell. It allows to identify inter-, intra-donor variations in genes over longitudinal time points. The analysis can be done on bulk expression dataset without known cell type information or single cell with cell type or user defined groups. It allows to infer stable and variable features in a given donor and each cell type or a user defined group. The outlier analysis can be performed to identify technical/biological perturbed samples in a donor or a participant. Further, differential analysis can be performed to decipher time-wise changes in gene expression in a cell type. The data that is available in the dbGaP is the demo longitudinal samples used in the study, which includes hashed raw fastq files for single-cell RNA-sequencing (scRNA-seq) and non-hashed fastq files for single-cell ATAC-sequencing (scATAC) experiment.

  Study phs003203

• Epigenomics of Patient Outcomes after Aneurysmal SAH

  This project was focused on understanding the pathophysiology following aneurysmal subarachnoid hemorrhage (aSAH). DNA methylation is a key mechanism for regulation of gene expression and function in the adult brain and appears to play an important role in neuroprotection during ischemic events in the brain. Delayed cerebral ischemia (DCI), occurring during the acute phase following aSAH, is a major contributor to the complications that later develop; however, the pathophysiology of DCI and the development of complications is not known. We hypothesize that characterizing the methylome representing the CNS environment post aSAH will clarify the pathophysiology associated with DCI and patient outcomes. The aims of this project focused on the daily genome-wide methylomic changes that occur in DNA representing the CNS for the first 14 days after aSAH, as well as in peripheral blood in a subset of partcipants, and determining if this methylomic data impacts DCI and the development of complications after aSAH.

  Study phs001990

• Structurally Complex Osteosarcoma Genomes Exhibit Limited Heterogeneity within Individual Tumors and across Evolutionary Time

  A key characteristic of osteosarcoma is extensive and complex genomic rearrangements. However, published models explaining how these genomic rearrangements occur disagree about if these rearrangements occur early in tumor progression and then are stable afterwards, or if there is ongoing genomic instability. Previous studies have employed bulk sequencing technologies to characterize genomic alterations. A limitation of this approach is that it averages all changes within the bulk sample, essentially masking intra-sample heterogeneity and making evaluation of ongoing genomic instability difficult. To overcome this limitation and compliment previous work, we utilized single-cell whole genome sequencing to quantify somatic copy number alterations (SCNA). By interrogating individual cells within a sample, we were able to examine intra-sample heterogeneity. We found that the SCNA patterns between cells within a single sample were remarkably consistent, which supports the concept that the genomes of osteosarcoma tumors are relatively stable after early genome fragmentation events.

  Study phs003209

• Genetic Analysis of Latin American Cervical Cancer

  HPV16 is the most oncogenic type of human papillomaviruses (HPV). Integration of HPV into the human genome is an important mechanism of carcinogenesis but is absent in at least 30% of HPV16+ tumors. We applied long-read whole-genome sequencing (WGS) to cervical cancer cell lines and tumors to characterize HPV16 carcinogenesis in the absence of integration. WGS of HPV16+ cervical tumor samples from Latin America revealed that 11/20 tumors with only episomal HPV (EP) had intact monomer episomes. The remaining 9 EP tumors had multimer and rearranged HPV genomes. The majority (80%) of the HPV rearrangements and deletions disrupted the E1 and E2 genes, and EP tumors overexpressed the E6 and E7 viral oncogenes, a similar profile to tumors with HPV integration. Tumors with putative multimer HPV integrations display HPV multimers and concatemers of human and viral sequences. Our data uncovered a novel mechanism for HPV16 to cause cancer without integration through aberrant episomal replication, and forming rearranged, mutated, and multimer episomes.

  Study phs002810

• Single cell chromatin accessibility allows analysis of the transposable element landscape, revealing shared features of immune tissue-residency

  Tissue adaptation is required for regulatory T (Treg) cells to function within organs. Whether this program shares similarities between different tissue-localized immune populations is poorly understood. Here, we addressed this by analyzing single-cell chromatin accessibility data, including the transposable element (TE) landscape, of CD45+ immune cells from different tissues. We identified features of organ-specific tissue adaptation across different immune cells. Focusing on tissue-Treg cells, we found that the Treg tissue adaptation program was conserved in other tissue-localized immune cells, such as amphiregulin-producing Th17 cells. Accessible TEs can act as regulatory elements but their contribution to tissue adaptation is unclear. TE landscape analysis revealed an enrichment of specific transcription factor binding motifs in TE regions within accessible chromatin peaks. TEs, specifically from the LTR family, were located in enhancer regions and associated with tissue adaptation. These findings broaden our understanding of immune tissue-residency, an important step towards organ-specific immune interventions.

  Study EGAS50000000350