Mouse Vipas39 Conditional Knockout Project (CRISPR/Cas9)

Total Page:16

File Type:pdf, Size:1020Kb

Mouse Vipas39 Conditional Knockout Project (CRISPR/Cas9) https://www.alphaknockout.com Mouse Vipas39 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Vipas39 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Vipas39 gene (NCBI Reference Sequence: NM_001142580 ; Ensembl: ENSMUSG00000021038 ) is located on Mouse chromosome 12. 20 exons are identified, with the ATG start codon in exon 2 and the TAA stop codon in exon 20 (Transcript: ENSMUST00000072744). Exon 3 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Vipas39 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-213E8 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Mice homozygous for a conditional allele activated by an inducible cre exhibit dry and scaly skin, hair loss, and defects in tail tendon collagen I structure. Exon 3 starts from about 6.38% of the coding region. The knockout of Exon 3 will result in frameshift of the gene. The size of intron 2 for 5'-loxP site insertion: 3170 bp, and the size of intron 3 for 3'-loxP site insertion: 1410 bp. The size of effective cKO region: ~603 bp. The cKO region does not have any other known gene. Page 1 of 8 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele gRNA region 5' gRNA region 3' 1 3 4 20 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Vipas39 Homology arm cKO region loxP site Page 2 of 8 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. No significant tandem repeat is found in the dot plot matrix. So this region is suitable for PCR screening or sequencing analysis. Overview of the GC Content Distribution Window size: 300 bp Sequence 12 Summary: Full Length(7103bp) | A(24.96% 1773) | C(21.12% 1500) | T(31.56% 2242) | G(22.36% 1588) Note: The sequence of homologous arms and cKO region is analyzed to determine the GC content. No significant high GC-content region is found. So this region is suitable for PCR screening or sequencing analysis. Page 3 of 8 https://www.alphaknockout.com BLAT Search Results (up) QUERY SCORE START END QSIZE IDENTITY CHROM STRAND START END SPAN ----------------------------------------------------------------------------------------------- browser details YourSeq 3000 1 3000 3000 100.0% chr12 - 87260985 87263984 3000 browser details YourSeq 274 1738 2302 3000 88.5% chr10 + 120338059 120338781 723 browser details YourSeq 263 1702 2302 3000 87.9% chr7 + 67544354 67545008 655 browser details YourSeq 235 1738 2302 3000 88.2% chr5 + 77141929 77142645 717 browser details YourSeq 231 1738 2302 3000 84.7% chr10 + 76128743 76129275 533 browser details YourSeq 215 2021 2389 3000 87.5% chr5 + 101904760 101905495 736 browser details YourSeq 211 1967 2352 3000 83.7% chr5 - 35309216 35309677 462 browser details YourSeq 210 2039 2387 3000 82.8% chr10 + 116978203 116978530 328 browser details YourSeq 206 1750 2302 3000 82.2% chr15 - 98361868 98362261 394 browser details YourSeq 203 2039 2357 3000 86.8% chr15 + 96579589 96579894 306 browser details YourSeq 200 2039 2352 3000 85.8% chr15 + 88484785 88500090 15306 browser details YourSeq 197 2049 2788 3000 80.3% chr1 + 83343815 83344204 390 browser details YourSeq 194 2039 2350 3000 83.4% chr3 - 34716512 34716819 308 browser details YourSeq 193 2039 2389 3000 86.3% chr10 + 60633169 60633510 342 browser details YourSeq 190 2039 2349 3000 85.5% chr10 - 69142259 69142564 306 browser details YourSeq 187 2039 2302 3000 86.4% chr13 - 51782872 51783137 266 browser details YourSeq 187 2145 2758 3000 83.5% chr16 + 84947085 84947417 333 browser details YourSeq 186 2042 2352 3000 84.1% chr16 + 14091939 14092246 308 browser details YourSeq 183 2039 2302 3000 85.2% chr13 - 53940571 54038600 98030 browser details YourSeq 183 2050 2743 3000 84.4% chr6 + 148300987 148301470 484 Note: The 3000 bp section upstream of Exon 3 is BLAT searched against the genome. No significant similarity is found. BLAT Search Results (down) QUERY SCORE START END QSIZE IDENTITY CHROM STRAND START END SPAN ----------------------------------------------------------------------------------------------- browser details YourSeq 3000 1 3000 3000 100.0% chr12 - 87257382 87260381 3000 browser details YourSeq 307 248 627 3000 94.0% chr4 + 116680833 116681247 415 browser details YourSeq 306 252 607 3000 95.3% chr5 - 23823657 23824015 359 browser details YourSeq 305 276 778 3000 90.1% chr2 - 32025645 32102217 76573 browser details YourSeq 302 248 609 3000 94.7% chr19 + 8850010 8865447 15438 browser details YourSeq 297 248 609 3000 93.1% chr1 + 164024543 164025082 540 browser details YourSeq 296 248 609 3000 94.4% chr7 - 12999955 13000323 369 browser details YourSeq 292 271 640 3000 93.3% chr10 + 128222946 128223671 726 browser details YourSeq 288 265 609 3000 94.2% chr11 - 6609580 6609966 387 browser details YourSeq 288 293 611 3000 98.1% chr2 + 130670444 130779345 108902 browser details YourSeq 284 252 608 3000 94.2% chr15 + 8510639 8511181 543 browser details YourSeq 283 283 637 3000 93.3% chr4 + 129296502 129297154 653 browser details YourSeq 281 267 628 3000 91.6% chr17 + 5276335 5276681 347 browser details YourSeq 278 287 609 3000 95.1% chr17 - 83612280 83612601 322 browser details YourSeq 272 258 607 3000 92.9% chr1 + 131157684 131158028 345 browser details YourSeq 253 314 608 3000 96.7% chr2 - 5843581 5844246 666 browser details YourSeq 249 266 608 3000 95.3% chr6 + 38585429 38585826 398 browser details YourSeq 243 297 608 3000 97.0% chr17 - 32261386 32261708 323 browser details YourSeq 234 419 799 3000 93.1% chr12 + 91797646 91798268 623 browser details YourSeq 223 263 607 3000 89.6% chr2 - 59124708 59124974 267 Note: The 3000 bp section downstream of Exon 3 is BLAT searched against the genome. No significant similarity is found. Page 4 of 8 https://www.alphaknockout.com Gene and protein information: Vipas39 VPS33B interacting protein, apical-basolateral polarity regulator, spe-39 homolog [ Mus musculus (house mouse) ] Gene ID: 104799, updated on 12-Aug-2019 Gene summary Official Symbol Vipas39 provided by MGI Official Full Name VPS33B interacting protein, apical-basolateral polarity regulator, spe-39 homolog provided by MGI Primary source MGI:MGI:2144805 See related Ensembl:ENSMUSG00000021038 Gene type protein coding RefSeq status VALIDATED Organism Mus musculus Lineage Eukaryota; Metazoa; Chordata; Craniata; Vertebrata; Euteleostomi; Mammalia; Eutheria; Euarchontoglires; Glires; Rodentia; Myomorpha; Muroidea; Muridae; Murinae; Mus; Mus Also known as Spe39; Vipar; SPE-39; hSPE-39; AI413782; 6720456H09Rik; 9330175H22Rik Expression Ubiquitous expression in CNS E14 (RPKM 16.2), CNS E18 (RPKM 15.9) and 28 other tissues See more Orthologs human all Genomic context Location: 12; 12 D2 See Vipas39 in Genome Data Viewer Exon count: 22 Annotation release Status Assembly Chr Location 108 current GRCm38.p6 (GCF_000001635.26) 12 NC_000078.6 (87238875..87266378, complement) Build 37.2 previous assembly MGSCv37 (GCF_000001635.18) 12 NC_000078.5 (88579825..88607236, complement) Chromosome 12 - NC_000078.6 Page 5 of 8 https://www.alphaknockout.com Transcript information: This gene has 6 transcripts Gene: Vipas39 ENSMUSG00000021038 Description VPS33B interacting protein, apical-basolateral polarity regulator, spe-39 homolog [Source:MGI Symbol;Acc:MGI:2144805] Gene Synonyms SPE-39, Vipar Location Chromosome 12: 87,238,868-87,266,256 reverse strand. GRCm38:CM001005.2 About this gene This gene has 6 transcripts (splice variants), 203 orthologues and is a member of 1 Ensembl protein family. Transcripts Name Transcript ID bp Protein Translation ID Biotype CCDS UniProt Flags Vipas39-202 ENSMUST00000072744.14 2524 491aa ENSMUSP00000072527.7 Protein coding CCDS49119 Q8BGQ1 TSL:1 GENCODE basic APPRIS P1 Vipas39-201 ENSMUST00000021426.9 2509 472aa ENSMUSP00000021426.9 Protein coding CCDS26074 Q8BGQ1 TSL:1 GENCODE basic Vipas39-203 ENSMUST00000179379.8 2418 472aa ENSMUSP00000137190.1 Protein coding CCDS26074 Q8BGQ1 TSL:1 GENCODE basic Vipas39-206 ENSMUST00000222350.1 1790 No protein - Retained intron - - TSL:1 Vipas39-204 ENSMUST00000220858.1 1398 No protein - Retained intron - - TSL:2 Vipas39-205 ENSMUST00000221707.1 417 No protein - Retained intron - - TSL:3 Page 6 of 8 https://www.alphaknockout.com 47.39 kb Forward strand 87.23Mb 87.24Mb 87.25Mb 87.26Mb 87.27Mb Genes Ahsa1-205 >protein coding (Comprehensive set... Ahsa1-201 >protein coding Ahsa1-202 >retained intron Gm47293-201 >miRNA Ahsa1-203 >retained intron Ahsa1-204 >retained intron Contigs AC151967.6 > Genes (Comprehensive set... < Noxred1-203protein coding < Vipas39-204retained intro<n Vipas39-205retained intron < Noxred1-201protein coding < Vipas39-202protein coding < Noxred1-202protein coding < Vipas39-203protein coding < Vipas39-201protein coding < Vipas39-206retained intron Regulatory Build 87.23Mb 87.24Mb 87.25Mb 87.26Mb 87.27Mb Reverse strand 47.39 kb Regulation Legend CTCF Enhancer Open Chromatin Promoter Promoter Flank Gene Legend Protein Coding merged Ensembl/Havana Ensembl protein coding Non-Protein Coding processed transcript RNA gene Page 7 of 8 https://www.alphaknockout.com Transcript: ENSMUST00000072744 < Vipas39-202protein coding Reverse strand 27.38 kb ENSMUSP00000072... MobiDB lite Low complexity (Seg) Pfam Vps16, C-terminal PANTHER PTHR13364:SF6 Spermatogenesis-defective protein 39 Gene3D Vps16, C-terminal domain superfamily All sequence SNPs/i... Sequence variants (dbSNP and all other sources) Variant Legend missense variant splice region variant synonymous variant Scale bar 0 60 120 180 240 300 360 420 491 We wish to acknowledge the following valuable scientific information resources: Ensembl, MGI, NCBI, UCSC. Page 8 of 8.
Recommended publications
  • Diagnosing Platelet Secretion Disorders: Examples Cases
    Diagnosing platelet secretion disorders: examples cases Martina Daly Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield Disclosures for Martina Daly In compliance with COI policy, ISTH requires the following disclosures to the session audience: Research Support/P.I. No relevant conflicts of interest to declare Employee No relevant conflicts of interest to declare Consultant No relevant conflicts of interest to declare Major Stockholder No relevant conflicts of interest to declare Speakers Bureau No relevant conflicts of interest to declare Honoraria No relevant conflicts of interest to declare Scientific Advisory No relevant conflicts of interest to declare Board Platelet granule release Agonists (FIIa, Collagen, ADP) Signals Activation Shape change Membrane fusion Release of granule contents Platelet storage organelles lysosomes a granules Enzymes including cathepsins Adhesive proteins acid hydrolases Clotting factors and their inhibitors Fibrinolytic factors and their inhibitors Proteases and antiproteases Growth and mitogenic factors Chemokines, cytokines Anti-microbial proteins Membrane glycoproteins dense (d) granules ADP/ATP Serotonin histamine inorganic polyphosphate Platelet a-granule contents Type Prominent components Membrane glycoproteins GPIb, aIIbb3, GPVI Clotting factors VWF, FV, FXI, FII, Fibrinogen, HMWK, FXIII? Clotting inhibitors TFPI, protein S, protease nexin-2 Fibrinolysis components PAI-1, TAFI, a2-antiplasmin, plasminogen, uPA Other protease inhibitors a1-antitrypsin, a2-macroglobulin
    [Show full text]
  • A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
    Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated.
    [Show full text]
  • CORVET, CHEVI and HOPS – Multisubunit Tethers of the Endo
    © 2019. Published by The Company of Biologists Ltd | Journal of Cell Science (2019) 132, jcs189134. doi:10.1242/jcs.189134 REVIEW SUBJECT COLLECTION: CELL BIOLOGY AND DISEASE CORVET, CHEVI and HOPS – multisubunit tethers of the endo-lysosomal system in health and disease Jan van der Beek‡, Caspar Jonker*,‡, Reini van der Welle, Nalan Liv and Judith Klumperman§ ABSTRACT contact between two opposing membranes and pull them close Multisubunit tethering complexes (MTCs) are multitasking hubs that together to allow interactions between SNARE proteins (Murray form a link between membrane fusion, organelle motility and signaling. et al., 2016). SNARE assembly then provides additional fusion CORVET, CHEVI and HOPS are MTCs of the endo-lysosomal system. specificity and drives the actual fusion process (Ohya et al., 2009; They regulate the major membrane flows required for endocytosis, Stroupe et al., 2009). In this Review, we focus on the role of tethering lysosome biogenesis, autophagy and phagocytosis. In addition, proteins in endo-lysosomal fusion events. individual subunits control complex-independent transport of specific Tethering proteins can be divided into two main groups: long cargoes and exert functions beyond tethering, such as attachment to coiled-coil proteins (Gillingham and Munro, 2003) and microtubules and SNARE activation. Mutations in CHEVI subunits multisubunit tethering complexes (MTCs). MTCs form a lead to arthrogryposis, renal dysfunction and cholestasis (ARC) heterogenic group of protein complexes that consist of up to ten ∼ syndrome, while defects in CORVET and, particularly, HOPS are subunits resulting in a general length of 50 nm (Brocker et al., associated with neurodegeneration, pigmentation disorders, liver 2012; Chou et al., 2016; Hsu et al., 1998; Lürick et al., 2018; Ren malfunction and various forms of cancer.
    [Show full text]
  • Exome Sequencing in Hereditary
    Fakultät für Medizin Technische Universität München EXOME SEQUENCING IN HEREDITARY NEPHROPATHIES Korbinian Maria Riedhammer Vollständiger Abdruck der von der Fakultät für Medizin der Technischen Universität München zur Erlangung des akademischen Grades eines Doktors der Medizin (Dr. med.) genehmigten Dissertation. Vorsitzender: Prof. Dr. Jürgen Schlegel Prüfende der Dissertation: 1. Priv.-Doz. Dr. Julia Höfele 2. Prof. Dr. Clemens Cohen 3. apl. Prof. Dr. Lutz Renders Die Dissertation wurde am 03.08.2020 bei der Technischen Universität München eingereicht und durch die Fakultät für Medizin am 16.02.2021 angenommen. In Gedenken an meinen Vater, Dr. med. Hans Harald Riedhammer. Everything is going to be fine in the end. If it's not fine it's not the end. Oscar Wilde ABSTRACT Introduction: Hereditary kidney diseases affect about one in ten adults with chronic kidney disease (CKD) and about two-thirds of patients with CKD-onset under the age of 25 years. Hence, they pose a considerable burden of disease. All parts of the intricate organ that is the kidney and urinary tract can be altered and hereditary nephropathies are therefore clinically and genetically vastly heterogeneous. Exome sequencing (ES), that is, the analysis of the protein-coding regions of the human genome, is able to address this genetic heterogeneity. Aim of this thesis: Evaluation of ES in 260 index cases with a clinically presumed hereditary nephropathy with emphasis on the detection of phenocopies (clinical tentative diagnosis is different from genetic diagnosis), the prioritization of novel disease-associated genes (“candidate genes”), and the statistical analysis of the cohort to improve clinical decision-making.
    [Show full text]
  • Amy Elizabeth Defnet Contact Information: [email protected] Degree and Date to Be Conferred: Ph.D
    Targeting the Activator Protein-1 Complex to Inhibit Airway Smooth Muscle Cell Hyperproliferation in Asthma Item Type dissertation Authors Defnet, Amy Elizabeth Publication Date 2021 Abstract Hyperproliferation of airway smooth muscle (ASM) cells leads to increased ASM mass causing airway obstruction in inflammatory diseases such as asthma. Currently, there are no effective therapies to modulate ASM cell proliferation that contributes to ... Keywords Activator Protein-1; airway smooth muscle; retinoic acid; Airway Remodeling; Asthma; Protein Kinases; Transcription Factor AP-1; Tretinoin Download date 29/09/2021 14:19:54 Link to Item http://hdl.handle.net/10713/15769 Amy Elizabeth Defnet Contact Information: [email protected] Degree and Date to be Conferred: Ph.D. Pharmaceutical Sciences, May 2021 PROFESSIONAL OBJECTIVE My career objective is to work in academic institution where I can develop myself as an educator and researcher. My research employs a cross-disciplinary training regimen, including frequent opportunities for scientific/public speaking and inter-departmental engagement. In preparation for future teaching responsibilities, I have cultivated core pedagogical techniques through the JHU-UMB Collaborative Teaching Fellowship and Quality Matters Online Teaching Program. Additionally, participation in several societies and volunteer groups have helped cultivate my leadership and communication skills. EDUCATION University of Maryland, Baltimore 2016-present • Ph.D. Pharmaceutical Sciences, anticipated completion 2021 Fairleigh Dickinson University, Florham 2012-2016 • B.S. Biological Sciences with a Minor in Chemistry, 2016 RESEARCH Graduate Research Dr. Paul Shapiro and Dr. Maureen Kane, University of Maryland, Baltimore Fall 2016- Present This study hopes to overcome therapeutic limitations in asthma treatment that lead to bronchoconstriction and airway remodeling through evaluation of a novel function- selective ERK1/2 inhibitor and a RAR agonist.
    [Show full text]
  • Thrombocytopenia: an Australasian Perspective ISTH Advanced Training Course
    Genetic Testing in Inherited Thrombocytopenia: An Australasian Perspective ISTH Advanced Training Course Presented By: Dr David Rabbolini 7th September 2016 ISTH Advanced Training Course Dubai, UAE Disclosures for David Rabbolini In compliance with COI policy, ISTH requires the following disclosures to the session audience: Research Support/P.I. No relevant conflicts of interest to declare Employee No relevant conflicts of interest to declare Consultant No relevant conflicts of interest to declare Major Stockholder No relevant conflicts of interest to declare Speakers Bureau No relevant conflicts of interest to declare Honoraria No relevant conflicts of interest to declare Scientific Advisory No relevant conflicts of interest to declare Board Presentation includes discussion of the following off-label use of a drug or medical device: <N/A> ISTH Advanced Training Course Dubai, UAE - 2 - Outline . Introduction . Traditional phenotypic testing approach . Genetic testing – rationale . Our experience using a candidate gene panel . Observations from inherited platelet disorders caused by transcription factor mutation. Concluding remarks ISTH Advanced Training Course Dubai, UAE - 3 - Inherited platelet disorders . Uncommon conditions . True prevalence is likely underestimated . Under recognised . Many lack a preceding family history . MYH9-RDs – 20-30% de novo mutations. Variable bleeding tendencies. Not all present in childhood. Savoia A., et al., Journal of Thrombosis and ISTHHaemostasis Advanced Training, 2010. Course Balduini CL., et al., Journal of Thrombosis and HaemostasisDubai, UAE , 2013. Diagnosis is of importance . Prevent potentially futile and harmful treatments . Many inherited thrombocytopenias are diagnosed as ITP ~20% . Predisposition to other illnesses . RUNX1 (FPD/AML) – Acute myelid leukaemia. ETV6 and EVI1 – Solid organ and haematological malignancies. MYH9-RDs – renal failure, cataracts, sensorineural deafness.
    [Show full text]
  • Genetics of Inherited Disorders of Platelets
    Bleeding disorders Genetics of inherited disorders of platelets A.T. Nurden1 ABSTRACT P. Nurden1,2 Genetic defects of platelets constitute a group of rare diseases that give rise to bleeding syndromes of autosomal dominant or recessive inheritance. They affect platelet production, giving rise to a low 1Plateforme Technologique et circulating platelet count and changes in platelet morphology, platelet function, or a combination of d’Innovation Biomédicale, Hôpital both an altered megakaryopoiesis and a defective platelet response. As a result, blood platelets fail to Xavier Arnozan, Pessac; fulfill their hemostatic function. The most studied are deficiencies of glycoprotein mediators of adhe- 2CHU Timone, Marseille, France sion and aggregation while defects of primary receptors for stimuli include that of the P2Y12 ADP receptor. Inherited defects of secretion from storage organelles (dense granules, α-granules) and of Correspondence: the generation of procoagulant activity have led to the identification of many genes involved in Alan T. Nurden megakaryocyte biology. Signaling pathway defects leading to agonist-specific modifications of E-mail: [email protected] platelet aggregation are the current target of exome-sequencing strategies. In familial thrombocy- topenia, changes in megakaryocyte maturation within the bone marrow mostly lead to a deficient pro- platelet formation and an altered timing of platelet release; sometimes defects extend to other cells Hematology Education: and in some cases interfere with development. We now review
    [Show full text]
  • Gnomad Lof Supplement
    1 gnomAD supplement gnomAD supplement 1 Data processing 4 Alignment and read processing 4 Variant Calling 4 Coverage information 5 Data processing 5 Sample QC 7 Hard filters 7 Supplementary Table 1 | Sample counts before and after hard and release filters 8 Supplementary Table 2 | Counts by data type and hard filter 9 Platform imputation for exomes 9 Supplementary Table 3 | Exome platform assignments 10 Supplementary Table 4 | Confusion matrix for exome samples with Known platform labels 11 Relatedness filters 11 Supplementary Table 5 | Pair counts by degree of relatedness 12 Supplementary Table 6 | Sample counts by relatedness status 13 Population and subpopulation inference 13 Supplementary Figure 1 | Continental ancestry principal components. 14 Supplementary Table 7 | Population and subpopulation counts 16 Population- and platform-specific filters 16 Supplementary Table 8 | Summary of outliers per population and platform grouping 17 Finalizing samples in the gnomAD v2.1 release 18 Supplementary Table 9 | Sample counts by filtering stage 18 Supplementary Table 10 | Sample counts for genomes and exomes in gnomAD subsets 19 Variant QC 20 Hard filters 20 Random Forest model 20 Features 21 Supplementary Table 11 | Features used in final random forest model 21 Training 22 Supplementary Table 12 | Random forest training examples 22 Evaluation and threshold selection 22 Final variant counts 24 Supplementary Table 13 | Variant counts by filtering status 25 Comparison of whole-exome and whole-genome coverage in coding regions 25 Variant annotation 30 Frequency and context annotation 30 2 Functional annotation 31 Supplementary Table 14 | Variants observed by category in 125,748 exomes 32 Supplementary Figure 5 | Percent observed by methylation.
    [Show full text]
  • Inherited Platelet Disorders: Towards DNA-Based Diagnosis
    From www.bloodjournal.org by guest on June 21, 2016. For personal use only. Blood First Edition Paper, prepublished online April 19, 2016; DOI 10.1182/blood-2016-03-378588 Inherited Platelet Disorders: Towards DNA-based diagnosis Claire Lentaigne1,2, Kathleen Freson3, Michael A Laffan1,2, Ernest Turro4-7, Willem H Ouwehand4,5,7,8~ 1 Centre for Haematology, Hammersmith Campus, Imperial College Academic Health Sciences Centre, Imperial College London, London, United Kingdom. 2 Imperial College Healthcare NHS Trust, Du Cane Road, London, United Kingdom. 3 Department of Cardiovascular Sciences, Center for Molecular and Vascular Biology, University of Leuven, Belgium. 4 Department of Haematology, University of Cambridge, Cambridge Biomedical Campus, Cambridge, United Kingdom. 5 NHS Blood and Transplant, Cambridge Biomedical Campus, Cambridge, United Kingdom. 6 Medical Research Council Biostatistics Unit, Cambridge Institute of Public Health, Cambridge Biomedical Campus, Cambridge, United Kingdom. 7 NIHR BioResource - Rare Diseases, Cambridge University Hospitals, Cambridge Biomedical Campus, Cambridge, United Kingdom. 8 Human Genetics, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom. ~on behalf of the BRIDGE Bleeding, Thrombotic and Platelet Disorders and ThromboGenomics Consortia. 1 Copyright © 2016 American Society of Hematology From www.bloodjournal.org by guest on June 21, 2016. For personal use only. Abstract Variations in platelet number, volume and function are largely genetically controlled and many loci associated with platelet traits have been identified by genome wide association studies (GWAS)1. The genome also contains a large number of rare variants, of which a tiny fraction underlie the inherited diseases of man. Research over the past three decades have led to the discovery of 51 genes harbouring variants responsible for inherited platelet disorders (IPDs).
    [Show full text]
  • Neurological Features of 14Q24-Q32 Interstitial Deletion
    Nicita et al. Molecular Cytogenetics (2015) 8:93 DOI 10.1186/s13039-015-0196-6 CASE REPORT Open Access Neurological features of 14q24-q32 interstitial deletion: report of a new case Francesco Nicita1, Marilena Di Giacomo2, Orazio Palumbo3, Emanuela Ferri2, Daniela Maiorani4, Federico Vigevano5, Massimo Carella3 and Alessandro Capuano5* Abstract Background: Interstitial deletions of the long arm of chromosome 14 involving the 14q24-q32 region have been reported in less than 20 patients. Previous studies mainly attempted to delineate recognizable facial dysmorphisms; conversely, descriptions on neurological features are limited to the presence of cognitive and motor delay, but no better characterization exists. Case presentation: In this paper we report on a patient with a de novo interstitial deletion of 5.5 Mb at 14q24.3- q31.1. The deletion encompasses 84 genes, including fourteen Mendelian genes. He presented with dysmorphic face, developmental delay, paroxysmal non-epileptic events and, subsequently, epilepsy. Conclusions: The clinical and molecular evaluation of this patient and the review of the literature expand the phenotype of 14q23-q32 deletion syndrome to include paroxysmal non-epileptic events and infantile-onset focal seizures. Keywords: 14q, microdeletion, epilepsy, myoclonus, EEG, seizures Background defects. One and five minute Apgar scores were respect- Interstitial deletions of the long arm of chromosome 14 ively 9 and 10. Birth weight was 3450 g (35–50th per- involving the 14q24-q32 region have been reported in centile), birth length was 55 cm (97th percentile) and less than 20 patients [1–11]. Previous studies on patients head circumference was 33 cm (10th percentile). At with 14q interstitial deletions mainly attempted to delin- birth, bilateral metatarsus varus was evident, requiring eate recognizable facial dysmorphisms; conversely, de- conservative orthopedic treatment.
    [Show full text]
  • SUPPLEMENTARY DATA Supplementary Table 1. Characteristics of the Organ Donors and Human Islet Preparations Used for RNA-Seq
    SUPPLEMENTARY DATA Supplementary Table 1. Characteristics of the organ donors and human islet preparations used for RNA-seq and independent confirmation and mechanistic studies. Gender Age BMI Cause of death Purity (years) (kg/m2) (%) F 77 23.8 Trauma 45 M 36 26.3 CVD 51 M 77 25.2 CVD 62 F 46 22.5 CVD 60 M 40 26.2 Trauma 34 M 59 26.7 NA 58 M 51 26.2 Trauma 54 F 79 29.7 CH 21 M 68 27.5 CH 42 F 76 25.4 CH 30 F 75 29.4 CVD 24 F 73 30.0 CVD 16 M 63 NA NA 46 F 64 23.4 CH 76 M 69 25.1 CH 68 F 23 19.7 Trauma 70 M 47 27.7 CVD 48 F 65 24.6 CH 58 F 87 21.5 Trauma 61 F 72 23.9 CH 62 M 69 25 CVD 85 M 85 25.5 CH 39 M 59 27.7 Trauma 56 F 76 19.5 CH 35 F 50 20.2 CH 70 F 42 23 CVD 48 M 52 24.5 CH 60 F 79 27.5 CH 89 M 56 24.7 Cerebral ischemia 47 M 69 24.2 CVD 57 F 79 28.1 Trauma 61 M 79 23.7 NA 13 M 82 23 CH 61 M 32 NA NA 75 F 23 22.5 Cardiac arrest 46 M 51 NA Trauma 37 Abbreviations: F: Female; M: Male; BMI: Body mass index; CVD: Cardiovascular disease; CH: Cerebral hemorrhage.
    [Show full text]
  • Downloaded from Here
    bioRxiv preprint doi: https://doi.org/10.1101/017566; this version posted May 12, 2015. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 1 Testing for ancient selection using cross-population allele 2 frequency differentiation 1;∗ 3 Fernando Racimo 4 1 Department of Integrative Biology, University of California, Berkeley, CA, USA 5 ∗ E-mail: [email protected] 6 1 Abstract 7 A powerful way to detect selection in a population is by modeling local allele frequency changes in a 8 particular region of the genome under scenarios of selection and neutrality, and finding which model is 9 most compatible with the data. Chen et al. [1] developed a composite likelihood method called XP-CLR 10 that uses an outgroup population to detect departures from neutrality which could be compatible with 11 hard or soft sweeps, at linked sites near a beneficial allele. However, this method is most sensitive to recent 12 selection and may miss selective events that happened a long time ago. To overcome this, we developed 13 an extension of XP-CLR that jointly models the behavior of a selected allele in a three-population tree. 14 Our method - called 3P-CLR - outperforms XP-CLR when testing for selection that occurred before two 15 populations split from each other, and can distinguish between those events and events that occurred 16 specifically in each of the populations after the split.
    [Show full text]