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• Genomics of Pediatric Renal Medullary Carcinomas

  Version 1We derived faithful cancer cell lines from patients with a diagnosis of renal medullary carcinomas (RMC). These models have been sequenced with whole genome, exome and transcriptome technologies along with the patient's primary germline and tumor samples. We took these faithful models and performed loss-of-function genetic perturbation screens (e.g. RNAi and CRISPR-Cas9) along with an orthogonal small molecule screen. We identified the ubiquitin-proteasome system as an important target in RMC as well as other SMARCB1 deficient cancers.Version 2We have collaborated with the Children's Oncology Group and the study AREN03B2 to study the cohort of patients with a central diagnosis of RMC. Here, we used 10x linked read sequencing along with RNA-sequencing to profile these matched tumor-normal pairs.

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• Genetic Association Studies in the Solomon Islanders

  The goal of this study was to determine the genetics underlying blond hair in the Solomon Islands, which has the highest prevalence of blondism outside of Europe. Participants in the study were of self-reported Solomon Islands ancestry and were 6-36 years of age at enrollment. Individuals with blond (N = 43) and dark hair (N = 42) were selected, approximately matched for age, sex and local geography, and spectrophometric measurements of hair pigmentation were made as a single measurement taken from hair at the crown. Individuals with gray, white, thin, bleached or artificially colored hair were excluded from analysis. All 85 participants were evaluated in a genome-wide scan to detected association to hair pigmentation in the Solomon Islands.

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• Hyperdiploid Acute Lymphoblastic Leukemia RNA-Seq

  Few genetic drivers of children with hyperdiploid precursor B-cell acute lymphoblastic leukemia (ALL) have been identified to date. In an effort to detect novel genomic rearrangements that could be promoting leukemogenesis in this subset of patients, we sequenced ribosomal RNA-depleted transcriptomes isolated from 5 hyperdiploid acute lymphoblastic leukemia samples. In addition to looking for novel genomic rearrangements, we also sought to identify transcripts that could be created as a result of a novel posttranscriptional process. Surprisingly, we identified transcripts created as the result of exon circularization. The results of our studies are present in the paper "Circular RNAs Are the Predominant Transcript Isoform from Hundreds of Human Genes in Diverse Cell Types" published in PLoS ONE (PMID: 22319583).

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• Whole-Exome Sequencing and Targeted DNA Sequencing of Matched Ocular Melanocytosis and Uveal Melanoma

  Ocular melanocytosis is the most important predisposing condition for the eye cancer uveal melanoma (UM). Here we used whole-exome and deep targeted sequencing to identify for the first time a clonal Gq pathway mutation in ocular melanocytosis, which gave rise to UM. Additionally, we elucidated the order in which canonical genetic aberrations were acquired during tumor evolution. These findings provide a mechanistic explanation for the well-known clinical association of ocular melanocytosis with UM, and they provide new insights into UM tumor evolution. Reprinted from: Durante MA, Field MG, Sanchez MI, Covington KR, Decatur CL, Dubovy SR, Harbour JW. Genomic evolution of uveal melanoma arising in ocular melanocytosis, with permission from Cold Spring Harbor Molecular Case Studies.

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• GWAS for Membranous Nephropathy

  Primary membranous nephropathy (MN) is a rare autoimmune cause of kidney failure. This dataset is from a genome-wide association study (GWAS) designed to identify novel genetic risk loci for MN. The provided cohort (named as European-1 Cohort) is composed of 611 cases of primary MN and 1,246 healthy controls of European ancestry. This cohort was used in the GWAS meta-analysis, as described in the manuscript entitled "Genetic architecture of membranous nephropathy and its potential diagnostic implications" (Nature Communications 2020, in press).The genome-wide summary statistics, including trans-ethnic meta-analysis across 8 GWAS cohorts of European and East Asian ancestry and ethnicity specific meta-analyses, are freely available for download on the Kiryluk lab website: http://www.columbiamedicine.org/divisions/kiryluk/resources.php.

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• Dana-Farber Cancer Institute (DFCI) Wu Lab/Avicenne CLL RNA-Seq Study

  Chronic Lymphocytic Leukemia (CLL) is a hematological malignancy characterized by accumulation of CD5+ B cells in peripheral lymphoid organs, bone marrow and blood. Recently, the advent of large-scale whole-exome sequencing of hundreds of CLL samples has led to gain a comprehensive understanding of the mutational landscape of this clonal B cell malignancy, but the functional effects of the putative driver mutations thus discovered are largely unknown. In this study, we analyze RNA-seq data from CLL patients to characterize dysregulated biological pathways regarding the presence of recurrent mutations. Source of tumor is patients' PBMC isolated from peripheral blood using the Ficoll method. Purity was confirmed using flow cytometry flow (>80% in all cases).

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• Germline Whole-Exome Sequencing of Lung Cancer in EAGLE

  EAGLE is a large population-based case-control study designed and conducted to investigate the genetic and environmental determinants of lung cancer and smoking persistence using an integrative approach that allows combined analysis of genetic, environmental, clinical, and behavioral data. Here, we applied whole exome sequencing (WES) to EAGLE study, in a group of 2,777 Italian subjects (including 1,461 lung cancer cases and 1,316 healthy controls). We derived gene-level burden tests to explore the cumulative effect of deleterious rare variants within protein-coding genes and the lung cancer risk. Additionally, at this site we include WES datasets of 1259 healthy controls from 1054 PLCO (The Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial) subjects and 205 ACS (The American Cancer Society study) subjects.

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• Natural Genetic Variation in the Human Genome

  In this study, we used existing whole genome sequencing data from the TOPMed Amish and Jackson Heart Study, as well as the GTEx study, to identify mobile element insertions in the genomes of these individuals.  A total of 1112 TOPMed Amish, 3331 TOPMed Jackson Heart Study, and 698 GTEx individuals were examined.  We used the Mobile Element Locator Tool (MELT) developed previously by our lab, along with a Cloud-based version of MELT (CloudMELT), to discover non-reference mobile element insertions (MEIs) in these genomes.  We discovered Alu, L1, SVA, and HERV-K MEIs and produced genotypes in individual genomes.  Build hg19 bams were used for the TOPMed samples, and build GRCh37 bams were used for the GTEx samples in this study.

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• Center for Common Disease Genomics (CCDG) - Cardiovascular: BioImage Cohort

  The genetic basis of cardiovascular disease in individuals of non-European ancestry remains largely unknown. Availability of ethnically diverse study populations is essential to fully investigate the underlying causes of disease. The BioImage Study enrolled adults aged 55-80 in a prospective observational study. Subjects had no prior history of cardiovascular disease, but were identified to be at intermediate to high risk for atherosclerotic cardiovascular events (PMID: 25790876). The recruiting target was a cohort with similar demographics to the US population in terms of race and ethnicity. Produced as part of the NHGRI Centers for Common Disease Genomics, this study contains whole genome sequence data and variant calls from 922 African American participants of the BioImage Study.

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• Multi-Modal Single-Cell and Whole-Genome Sequencing of Small, Frozen Clinical Specimens

  Clinical application of single-cell sequencing technologies has been hampered by their need for quick processing of relatively large, fresh specimens. Here, we benchmarked the performance of a new technique for single-cell sequencing from snap-frozen clinical samples, vs. sequencing from fresh samples, on 5 samples from cutaneous melanoma brain metastasis, 6 samples from NSCLC brain metastasis, and 3 from uveal melanoma primary tumor. Additionally, we performed frozen sample sequencing of 20 uveal melanoma liver metastasis samples, and 3 cutaneous melanoma extracranial metastasis samples. Finally, for selected groups of the above-mentioned samples, we also performed TCR sequencing, SlideSeqV2 spatial transcriptomics, ultra-shallow whole-genome sequencing, and whole-exome sequencing, to present a comprehensive multi-modal profiling of all datasets.

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