Browsing by Subject "DNA Copy Number Variations"

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    Behavior genetics and postgenomics.
    (Behav Brain Sci, 2012-10) Charney, Evan
    The science of genetics is undergoing a paradigm shift. Recent discoveries, including the activity of retrotransposons, the extent of copy number variations, somatic and chromosomal mosaicism, and the nature of the epigenome as a regulator of DNA expressivity, are challenging a series of dogmas concerning the nature of the genome and the relationship between genotype and phenotype. According to three widely held dogmas, DNA is the unchanging template of heredity, is identical in all the cells and tissues of the body, and is the sole agent of inheritance. Rather than being an unchanging template, DNA appears subject to a good deal of environmentally induced change. Instead of identical DNA in all the cells of the body, somatic mosaicism appears to be the normal human condition. And DNA can no longer be considered the sole agent of inheritance. We now know that the epigenome, which regulates gene expressivity, can be inherited via the germline. These developments are particularly significant for behavior genetics for at least three reasons: First, epigenetic regulation, DNA variability, and somatic mosaicism appear to be particularly prevalent in the human brain and probably are involved in much of human behavior; second, they have important implications for the validity of heritability and gene association studies, the methodologies that largely define the discipline of behavior genetics; and third, they appear to play a critical role in development during the perinatal period and, in particular, in enabling phenotypic plasticity in offspring. I examine one of the central claims to emerge from the use of heritability studies in the behavioral sciences, the principle of minimal shared maternal effects, in light of the growing awareness that the maternal perinatal environment is a critical venue for the exercise of adaptive phenotypic plasticity. This consideration has important implications for both developmental and evolutionary biology.
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    Comparative analyses of seven algorithms for copy number variant identification from single nucleotide polymorphism arrays.
    (Nucleic Acids Res, 2010-05) Dellinger, AE; Saw, SM; Goh, LK; Seielstad, M; Young, TL; Li, YJ
    Determination of copy number variants (CNVs) inferred in genome wide single nucleotide polymorphism arrays has shown increasing utility in genetic variant disease associations. Several CNV detection methods are available, but differences in CNV call thresholds and characteristics exist. We evaluated the relative performance of seven methods: circular binary segmentation, CNVFinder, cnvPartition, gain and loss of DNA, Nexus algorithms, PennCNV and QuantiSNP. Tested data included real and simulated Illumina HumHap 550 data from the Singapore cohort study of the risk factors for Myopia (SCORM) and simulated data from Affymetrix 6.0 and platform-independent distributions. The normalized singleton ratio (NSR) is proposed as a metric for parameter optimization before enacting full analysis. We used 10 SCORM samples for optimizing parameter settings for each method and then evaluated method performance at optimal parameters using 100 SCORM samples. The statistical power, false positive rates, and receiver operating characteristic (ROC) curve residuals were evaluated by simulation studies. Optimal parameters, as determined by NSR and ROC curve residuals, were consistent across datasets. QuantiSNP outperformed other methods based on ROC curve residuals over most datasets. Nexus Rank and SNPRank have low specificity and high power. Nexus Rank calls oversized CNVs. PennCNV detects one of the fewest numbers of CNVs.
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    Computational correction of copy number effect improves specificity of CRISPR-Cas9 essentiality screens in cancer cells.
    (Nature genetics, 2017-12) Meyers, Robin M; Bryan, Jordan G; McFarland, James M; Weir, Barbara A; Sizemore, Ann E; Xu, Han; Dharia, Neekesh V; Montgomery, Phillip G; Cowley, Glenn S; Pantel, Sasha; Goodale, Amy; Lee, Yenarae; Ali, Levi D; Jiang, Guozhi; Lubonja, Rakela; Harrington, William F; Strickland, Matthew; Wu, Ting; Hawes, Derek C; Zhivich, Victor A; Wyatt, Meghan R; Kalani, Zohra; Chang, Jaime J; Okamoto, Michael; Stegmaier, Kimberly; Golub, Todd R; Boehm, Jesse S; Vazquez, Francisca; Root, David E; Hahn, William C; Tsherniak, Aviad
    The CRISPR-Cas9 system has revolutionized gene editing both at single genes and in multiplexed loss-of-function screens, thus enabling precise genome-scale identification of genes essential for proliferation and survival of cancer cells. However, previous studies have reported that a gene-independent antiproliferative effect of Cas9-mediated DNA cleavage confounds such measurement of genetic dependency, thereby leading to false-positive results in copy number-amplified regions. We developed CERES, a computational method to estimate gene-dependency levels from CRISPR-Cas9 essentiality screens while accounting for the copy number-specific effect. In our efforts to define a cancer dependency map, we performed genome-scale CRISPR-Cas9 essentiality screens across 342 cancer cell lines and applied CERES to this data set. We found that CERES decreased false-positive results and estimated sgRNA activity for both this data set and previously published screens performed with different sgRNA libraries. We further demonstrate the utility of this collection of screens, after CERES correction, for identifying cancer-type-specific vulnerabilities.
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    Copy Number Variants of Undetermined Significance Are Not Associated with Worse Clinical Outcomes in Hypoplastic Left Heart Syndrome.
    (The Journal of pediatrics, 2018-11) Dailey-Schwartz, Andrew L; Tadros, Hanna J; Azamian, Mahshid Sababi; Lalani, Seema R; Morris, Shaine A; Allen, Hugh D; Kim, Jeffrey J; Landstrom, Andrew P
    OBJECTIVE:To determine the prevalence, spectrum, and prognostic significance of copy number variants of undetermined significance (cnVUS) seen on chromosomal microarray (CMA) in neonates with hypoplastic left heart syndrome (HLHS). STUDY DESIGN:Neonates with HLHS who presented to Texas Children's Hospital between June 2008 and December 2016 were identified. CMA results were abstracted and compared against copy number variations (CNVs) in ostensibly healthy individuals gathered from the literature. Findings were classified as normal, consistent with a known genetic disorder, or cnVUS. Survival was then compared using Kaplan-Meier analysis. Secondary outcomes included tracheostomy, feeding tube at discharge, cardiac arrest, and extracorporeal membrane oxygenation (ECMO). RESULTS:Our study cohort comprised 105 neonates with HLHS, including 70 (66.7%) with normal CMA results, 9 (8.6%) with findings consistent with a known genetic disorder, and 26 (24.7%) with a cnVUS. Six of the 26 (23.0%) neonates with a cnVUS had a variant that localized to a specific region of the genome seen in the healthy control population. One-year survival was 84.0% in patients with a cnVUS, 68.3% in those with normal CMA results, and 33.3% in those with a known genetic disorder (P = .003). There were no significant differences in secondary outcomes among the groups, although notably ECMO was used in 15.7% of patients with normal CMA and was not used in those with cnVUS and abnormal results (P = .038). CONCLUSIONS:Among children with HLHS, cnVUSs detected on CMA are common. The cnVUSs do not localize to specific regions of the genome, and are not associated with worse outcomes compared with normal CMA results.
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    Detectable clonal mosaicism from birth to old age and its relationship to cancer.
    (Nature genetics, 2012-05-06) Laurie, Cathy C; Laurie, Cecelia A; Rice, Kenneth; Doheny, Kimberly F; Zelnick, Leila R; McHugh, Caitlin P; Ling, Hua; Hetrick, Kurt N; Pugh, Elizabeth W; Amos, Chris; Wei, Qingyi; Wang, Li-e; Lee, Jeffrey E; Barnes, Kathleen C; Hansel, Nadia N; Mathias, Rasika; Daley, Denise; Beaty, Terri H; Scott, Alan F; Ruczinski, Ingo; Scharpf, Rob B; Bierut, Laura J; Hartz, Sarah M; Landi, Maria Teresa; Freedman, Neal D; Goldin, Lynn R; Ginsburg, David; Li, Jun; Desch, Karl C; Strom, Sara S; Blot, William J; Signorello, Lisa B; Ingles, Sue A; Chanock, Stephen J; Berndt, Sonja I; Le Marchand, Loic; Henderson, Brian E; Monroe, Kristine R; Heit, John A; de Andrade, Mariza; Armasu, Sebastian M; Regnier, Cynthia; Lowe, William L; Hayes, M Geoffrey; Marazita, Mary L; Feingold, Eleanor; Murray, Jeffrey C; Melbye, Mads; Feenstra, Bjarke; Kang, Jae H; Wiggs, Janey L; Jarvik, Gail P; McDavid, Andrew N; Seshan, Venkatraman E; Mirel, Daniel B; Crenshaw, Andrew; Sharopova, Nataliya; Wise, Anastasia; Shen, Jess; Crosslin, David R; Levine, David M; Zheng, Xiuwen; Udren, Jenna I; Bennett, Siiri; Nelson, Sarah C; Gogarten, Stephanie M; Conomos, Matthew P; Heagerty, Patrick; Manolio, Teri; Pasquale, Louis R; Haiman, Christopher A; Caporaso, Neil; Weir, Bruce S
    We detected clonal mosaicism for large chromosomal anomalies (duplications, deletions and uniparental disomy) using SNP microarray data from over 50,000 subjects recruited for genome-wide association studies. This detection method requires a relatively high frequency of cells with the same abnormal karyotype (>5-10%; presumably of clonal origin) in the presence of normal cells. The frequency of detectable clonal mosaicism in peripheral blood is low (<0.5%) from birth until 50 years of age, after which it rapidly rises to 2-3% in the elderly. Many of the mosaic anomalies are characteristic of those found in hematological cancers and identify common deleted regions with genes previously associated with these cancers. Although only 3% of subjects with detectable clonal mosaicism had any record of hematological cancer before DNA sampling, those without a previous diagnosis have an estimated tenfold higher risk of a subsequent hematological cancer (95% confidence interval = 6-18).
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    Genome-wide scan of copy number variation in late-onset Alzheimer's disease.
    (J Alzheimers Dis, 2010) Heinzen, EL; Need, AC; Hayden, KM; Chiba Falek, O; Roses, AD; Strittmatter, WJ; Burke, JR; Hulette, CM; Welsh Bohmer, KA; Goldstein, DB
    Alzheimer's disease is a complex and progressive neurodegenerative disease leading to loss of memory, cognitive impairment, and ultimately death. To date, six large-scale genome-wide association studies have been conducted to identify SNPs that influence disease predisposition. These studies have confirmed the well-known APOE epsilon4 risk allele, identified a novel variant that influences disease risk within the APOE epsilon4 population, found a SNP that modifies the age of disease onset, as well as reported the first sex-linked susceptibility variant. Here we report a genome-wide scan of Alzheimer's disease in a set of 331 cases and 368 controls, extending analyses for the first time to include assessments of copy number variation. In this analysis, no new SNPs show genome-wide significance. We also screened for effects of copy number variation, and while nothing was significant, a duplication in CHRNA7 appears interesting enough to warrant further investigation.
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    Genomic analysis of diffuse intrinsic pontine gliomas identifies three molecular subgroups and recurrent activating ACVR1 mutations.
    (Nat Genet, 2014-05) Buczkowicz, Pawel; Hoeman, Christine; Rakopoulos, Patricia; Pajovic, Sanja; Letourneau, Louis; Dzamba, Misko; Morrison, Andrew; Lewis, Peter; Bouffet, Eric; Bartels, Ute; Zuccaro, Jennifer; Agnihotri, Sameer; Ryall, Scott; Barszczyk, Mark; Chornenkyy, Yevgen; Bourgey, Mathieu; Bourque, Guillaume; Montpetit, Alexandre; Cordero, Francisco; Castelo-Branco, Pedro; Mangerel, Joshua; Tabori, Uri; Ho, King Ching; Huang, Annie; Taylor, Kathryn R; Mackay, Alan; Bendel, Anne E; Nazarian, Javad; Fangusaro, Jason R; Karajannis, Matthias A; Zagzag, David; Foreman, Nicholas K; Donson, Andrew; Hegert, Julia V; Smith, Amy; Chan, Jennifer; Lafay-Cousin, Lucy; Dunn, Sandra; Hukin, Juliette; Dunham, Chris; Scheinemann, Katrin; Michaud, Jean; Zelcer, Shayna; Ramsay, David; Cain, Jason; Brennan, Cameron; Souweidane, Mark M; Jones, Chris; Allis, C David; Brudno, Michael; Becher, Oren; Hawkins, Cynthia
    Diffuse intrinsic pontine glioma (DIPG) is a fatal brain cancer that arises in the brainstem of children, with no effective treatment and near 100% fatality. The failure of most therapies can be attributed to the delicate location of these tumors and to the selection of therapies on the basis of assumptions that DIPGs are molecularly similar to adult disease. Recent studies have unraveled the unique genetic makeup of this brain cancer, with nearly 80% found to harbor a p.Lys27Met histone H3.3 or p.Lys27Met histone H3.1 alteration. However, DIPGs are still thought of as one disease, with limited understanding of the genetic drivers of these tumors. To understand what drives DIPGs, we integrated whole-genome sequencing with methylation, expression and copy number profiling, discovering that DIPGs comprise three molecularly distinct subgroups (H3-K27M, silent and MYCN) and uncovering a new recurrent activating mutation affecting the activin receptor gene ACVR1 in 20% of DIPGs. Mutations in ACVR1 were constitutively activating, leading to SMAD phosphorylation and increased expression of the downstream activin signaling targets ID1 and ID2. Our results highlight distinct molecular subgroups and novel therapeutic targets for this incurable pediatric cancer.
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    Latent factor analysis to discover pathway-associated putative segmental aneuploidies in human cancers.
    (PLoS Comput Biol, 2010-09-02) Lucas, Joseph E; Kung, Hsiu-Ni; Chi, Jen-Tsan A
    Tumor microenvironmental stresses, such as hypoxia and lactic acidosis, play important roles in tumor progression. Although gene signatures reflecting the influence of these stresses are powerful approaches to link expression with phenotypes, they do not fully reflect the complexity of human cancers. Here, we describe the use of latent factor models to further dissect the stress gene signatures in a breast cancer expression dataset. The genes in these latent factors are coordinately expressed in tumors and depict distinct, interacting components of the biological processes. The genes in several latent factors are highly enriched in chromosomal locations. When these factors are analyzed in independent datasets with gene expression and array CGH data, the expression values of these factors are highly correlated with copy number alterations (CNAs) of the corresponding BAC clones in both the cell lines and tumors. Therefore, variation in the expression of these pathway-associated factors is at least partially caused by variation in gene dosage and CNAs among breast cancers. We have also found the expression of two latent factors without any chromosomal enrichment is highly associated with 12q CNA, likely an instance of "trans"-variations in which CNA leads to the variations in gene expression outside of the CNA region. In addition, we have found that factor 26 (1q CNA) is negatively correlated with HIF-1alpha protein and hypoxia pathways in breast tumors and cell lines. This agrees with, and for the first time links, known good prognosis associated with both a low hypoxia signature and the presence of CNA in this region. Taken together, these results suggest the possibility that tumor segmental aneuploidy makes significant contributions to variation in the lactic acidosis/hypoxia gene signatures in human cancers and demonstrate that latent factor analysis is a powerful means to uncover such a linkage.
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    PCR-Based Analysis of Mitochondrial DNA Copy Number, Mitochondrial DNA Damage, and Nuclear DNA Damage.
    (Curr Protoc Toxicol, 2016-02-01) Gonzalez-Hunt, Claudia P; Rooney, John P; Ryde, Ian T; Anbalagan, Charumathi; Joglekar, Rashmi; Meyer, Joel N
    Because of the role that DNA damage and depletion play in human disease, it is important to develop and improve tools to assess these endpoints. This unit describes PCR-based methods to measure nuclear and mitochondrial DNA damage and copy number. Long amplicon quantitative polymerase chain reaction (LA-QPCR) is used to detect DNA damage by measuring the number of polymerase-inhibiting lesions present based on the amount of PCR amplification; real-time PCR (RT-PCR) is used to calculate genome content. In this unit, we provide step-by-step instructions to perform these assays in Homo sapiens, Mus musculus, Rattus norvegicus, Caenorhabditis elegans, Drosophila melanogaster, Danio rerio, Oryzias latipes, Fundulus grandis, and Fundulus heteroclitus, and discuss the advantages and disadvantages of these assays.
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    The characterization of twenty sequenced human genomes.
    (PLoS Genet, 2010-09-09) Pelak, Kimberly; Shianna, Kevin V; Ge, Dongliang; Maia, Jessica M; Zhu, Mingfu; Smith, Jason P; Cirulli, Elizabeth T; Fellay, Jacques; Dickson, Samuel P; Gumbs, Curtis E; Heinzen, Erin L; Need, Anna C; Ruzzo, Elizabeth K; Singh, Abanish; Campbell, C Ryan; Hong, Linda K; Lornsen, Katharina A; McKenzie, Alexander M; Sobreira, Nara LM; Hoover-Fong, Julie E; Milner, Joshua D; Ottman, Ruth; Haynes, Barton F; Goedert, James J; Goldstein, David B
    We present the analysis of twenty human genomes to evaluate the prospects for identifying rare functional variants that contribute to a phenotype of interest. We sequenced at high coverage ten "case" genomes from individuals with severe hemophilia A and ten "control" genomes. We summarize the number of genetic variants emerging from a study of this magnitude, and provide a proof of concept for the identification of rare and highly-penetrant functional variants by confirming that the cause of hemophilia A is easily recognizable in this data set. We also show that the number of novel single nucleotide variants (SNVs) discovered per genome seems to stabilize at about 144,000 new variants per genome, after the first 15 individuals have been sequenced. Finally, we find that, on average, each genome carries 165 homozygous protein-truncating or stop loss variants in genes representing a diverse set of pathways.
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    Variation in chromosome copy number influences the virulence of Cryptococcus neoformans and occurs in isolates from AIDS patients.
    (BMC Genomics, 2011-10-27) Hu, Guanggan; Wang, Joyce; Choi, Jaehyuk; Jung, Won Hee; Liu, Iris; Litvintseva, Anastasia P; Bicanic, Tihana; Aurora, Rajeev; Mitchell, Thomas G; Perfect, John R; Kronstad, James W
    BACKGROUND: The adaptation of pathogenic fungi to the host environment via large-scale genomic changes is a poorly characterized phenomenon. Cryptococcus neoformans is the leading cause of fungal meningoencephalitis in HIV/AIDS patients, and we recently discovered clinical strains of the fungus that are disomic for chromosome 13. Here, we examined the genome plasticity and phenotypes of monosomic and disomic strains, and compared their virulence in a mouse model of cryptococcosis RESULTS: In an initial set of strains, melanin production was correlated with monosomy at chromosome 13, and disomic variants were less melanized and attenuated for virulence in mice. After growth in culture or passage through mice, subsequent strains were identified that varied in melanin formation and exhibited copy number changes for other chromosomes. The correlation between melanin and disomy at chromosome 13 was observed for some but not all strains. A survey of environmental and clinical isolates maintained in culture revealed few occurrences of disomic chromosomes. However, an examination of isolates that were freshly collected from the cerebrospinal fluid of AIDS patients and minimally cultured provided evidence for infections with multiple strains and copy number variation. CONCLUSIONS: Overall, these results suggest that the genome of C. neoformans exhibits a greater degree of plasticity than previously appreciated. Furthermore, the expression of an essential virulence factor and the severity of disease are associated with genome variation. The occurrence of chromosomal variation in isolates from AIDS patients, combined with the observed influence of disomy on virulence, indicates that genome plasticity may have clinical relevance.