Abstracts from the 51St European Society of Human Genetics Conference: Oral Presentations

Total Page:16

File Type:pdf, Size:1020Kb

Abstracts from the 51St European Society of Human Genetics Conference: Oral Presentations European Journal of Human Genetics (2019) 27:748–869 https://doi.org/10.1038/s41431-019-0407-4 MEETING ABSTRACTS Abstracts from the 51st European Society of Human Genetics Conference: Oral Presentations © European Society of Human Genetics 2019 June 16–19, 2018, Fiera Milano Congressi, Milan Italy Sponsorship: Publication of this supplement is sponsored by the European Society of Human Genetics. All content was reviewed and approved by the ESHG Scientific Programme Committee, which held full responsibility for the abstract selections. Disclosure Information: In order to help readers form their own judgments of potential bias in published abstracts, authors are asked to declare any competing financial interests. Contributions of up to EUR 10 000.- (Ten thousand Euros, or equivalent value in kind) per year per company are considered 1234567890();,: 1234567890();,: "Modest". Contributions above EUR 10 000.- per year are considered "Significant". Plenary Sessions PL1 Opening plenary lecture T. Lappalainen: D. Speakers Bureau/Honoraria (speak- ers bureau, symposia, and expert witness); Modest; Merck. PL1.1 Leena Peltonen Lecturer - Complex Genetics PL1.2 Recent advances in mutational signatures of human cells T. Lappalainen1,2 S. Nik-Zainal 1New York Genome Center, New York, NY, United States, 2Columbia University, New York, NY, United States Department of Medical Genetics, Cambridge, United Kingdom Detailed characterization of cellular effects of genetic var- A cancer genome contains the historic mutagenic activity iants is essential for understanding biological processes that that has occurred throughout the development of a underlie genetic associations to disease, to improve the tumour. While driver mutations were the main focus of interpretation of the personal genome, and to characterize cancer research for a long time, passenger mutational the genetic architecture of molecular variation. This has signatures - the imprints of DNA damage and DNA repair inspired large consortium projects to create and integrate processes that have been operative during tumorigenesis - population-scale genome data with transcriptome data – as are also biologically informative. In this lecture, I provide well as other molecular phenotype data – in human popu- a synopsis of this concept, describe the insights that we lations. The catalogs of genetic effects on the transcriptome have gained through combinations of computational across multiple human tissues and conditions now allows analysis and experiments in cell-based systems, and downstream discovery in diverse questions in genetics, showcase how we have developed the concept into including joint effects of regulatory and coding variants applications that we hope to translate into clinical utility underlying modified penetrance of disease-causing variants, in the near future. and novel methods to understand variation in gene dosage S. Nik-Zainal: None. in human populations and patients. Abstracts from the 51st European Society of Human Genetics Conference: Oral. 749 PL2 What's New and Late Breaking Session P. Lacaze: F. Consultant/Advisory Board; Modest; BC Platforms. R. Sebra: A. Employment (full or part-time); PL2.1 Significant; Sema4. M. Riaz: None. R. Woods: None. Genomic sequencing 15,000 healthy elderly individuals - I. Winship: None. E. Schadt: A. Employment (full or part- Implications for clinical genetics time); Significant; Sema4. J. McNeil: None. P. Lacaze1, R. Sebra2, M. Riaz1, R. Woods3, I. Winship4,5, PL2.2 ASPREE Investigator Group, ASPREE Healthy Ageing CRISPR-QTL mapping as a genome-wide association Biobank, E. Schadt2, J. McNeil3 framework for cellular genetic screens of the noncoding genome 1Public Health Genomics, Monash University, Melbourne, Australia, 2Icahn Institute and Dept. of Genetics & Genomic M. Gasperini1, A. Hill1, J. L. McFaline Figueroa1, B. Martin1, Sciences at Mount Sinai School of Medicine, New York, NY, C. Trapnell1, N. Ahituv2, J. Shendure1,3,4 United States, 3School of Public Health and Preventive Medicine, Monash University, Melbourne, Australia, 4Genetic 1University of Washington, Seattle, WA, United States, Medicine and Family Cancer Clinic, Royal Melbourne 2University of California San Francisco, San Francisco, CA, Hospital, Melbourne, Australia, 5Department of Medicine, United States, 3Brotman Baty Institute for Precision Medicine, University of Melbourne, Melbourne, Australia Seattle, WA, United States, 4Howard Hughes Medical Institute, Seattle, WA, United States Introduction: The variable penetrance of pathogenic var- iants remains a major challenge to clinical genetics practice, Almost all noncoding variants returned from whole genome particularly in predictive testing of hereditary cancer risk sequencing (WGS) cannot be confidently interpreted. genes. Ascertainment bias towards affected individuals and Although most are thought to disrupt gene function by their families has in part shaped our understanding of gene disrupting regulatory-elements such as enhancers, it is still penetrance. Here we report, for the first time, rates of largely unknown which noncoding regions constitute true pathogenic variation in hereditary cancer genes across enhancers, nor which genes each enhancer influences. To thousands of healthy elderly individuals, ascertained with- empirically address this, we have developed CRISPR-QTL out reference to clinical phenotype or family history, mapping, a framework in which large numbers of noncod- enrolled in an aspirin primary prevention trial. ing perturbations are introduced to each cell on an isogenic Materials and Methods: Individuals enrolled in the background, followed by single-cell RNA-sequencing ASPirin in Reducing Events in the Elderly (ASPREE) (scRNA-seq). This framework is borrowed from conven- Healthy Ageing Biobank were screened using a 760 gene tional human expression quantitative loci (eQTL) studies, ‘super-panel’ including pan-cancer gene coverage. The but with individual humans replaced by individual cells; average age was 75 years (min 65 years, max. 98 years), variants replaced by 'unlinked' combinations of guide RNA- and all participants were confirmed to be free of life- programmed perturbations per cell; and tissue-level RNA- threatening cancer diagnoses, cardiovascular disease or seq of many individuals replaced by scRNA-seq of many cognitive decline at time of enrolment. Medical records, cells. We applied CRISPR-QTL mapping to evaluate 1,119 family history and clinical data were mined for evidence of candidate enhancers with no strong a priori hypothesis as to cancer phenotypes in mutation carriers. their target gene(s). Perturbations were made by a nuclease- Results: We detected hundreds of pathogenic and high- dead Cas9 tethered to KRAB, and introduced at a mean confidence predicted-deleterious mutations in hereditary ‘allele frequency’ of 1.1% into a population of 47,650 cancer genes in elderly individuals (>10,000 samples profiled human K562 cells (median of 15 gRNAs identified sequenced Feb 2018). Mutations were often detected in per cell). We tested for differential expression of all genes the absence of any reported disease phenotype or family within 1 megabase of each candidate enhancer, evaluating history. Overall, pathogenic variants were found at a 17,584 potential enhancer-target gene relationships in one comparable rate to population-based cohorts, suggesting experiment. We identify 128 cis CRISPR-QTLs whose over-representation of non-penetrant individuals in targeting resulted in downregulation of 105 nearby genes this study. (of which 49 genes are thought to underlie disease). We Conclusions: Pathogenic germline mutations in cancer anticipate that the power of CRISPR-QTL mapping will predisposition genes may exist more commonly in the facilitate the comprehensive characterization of enhancer- population than expected, raising questions about clinical gene relationships, thus advancing interpretation of non- actionability, risk and penetrance. coding variants discovered through WGS. 750 J. del Picchia M. Gasperini: None. A. Hill: None. J.L. McFaline A. Munnich1, D. Papy-Garcia2, M. De La Dure-Molla1, Figueroa: None. B. Martin: None. C. Trapnell: None. V. Cormier-Daire1 N. Ahituv: None. J. Shendure: None. 1Institut Imagine INSERM U1163, Paris, France, 2CRRET PL2.3 Laboratory, Université Paris-Est Créteil, Créteil, France, Elimination of aneuploid cells in the early mammalian 3Polygene AG, Rümlang, Switzerland, 4Cerrahpasa Medicine embryo School, Istanbul, Turkey, 5Akdeniz University Facultu of Medecine, Antalya, Turkey, 6Medical University of Innsbruck, S. Singla, M. Zernicka-Goetz Innsbruck, Austria, 7University Medical Center Groningen, Groningen, Netherlands, 8Center for Molecular Medecine, University of Cambridge, Cambridge, United Kingdom Utrecht, Netherlands, 9University Medical Center Utrecht, Utrecht, Netherlands, 10Radboud University Medical Center, Whole chromosomal aneuploidies - loss and/or gain of Nijmegen, Netherlands, 11Hôpital Bichat, Paris, France chromosomes from a euploid complement - are responsible for the low fecundity in humans. Here we use mouse Skeletal dysplasias with multiple dislocations are a group of embryo as a model system to understand how severe disorders characterized by dislocations of large joints, mosaic aneuploidy affects embryonic development. To scoliosis, short stature and a variable combination of cleft experimentally induce chromosome missegregation in the palate, heart defects, intellectual disability and obesity. With cleavage stage embryos, we inhibit
Recommended publications
  • Supplementary Data
    Figure 2S 4 7 A - C 080125 CSCs 080418 CSCs - + IFN-a 48 h + IFN-a 48 h + IFN-a 72 h 6 + IFN-a 72 h 3 5 MRFI 4 2 3 2 1 1 0 0 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 7 B 13 080125 FBS - D 080418 FBS - + IFN-a 48 h 12 + IFN-a 48 h + IFN-a 72 h + IFN-a 72 h 6 080125 FBS 11 10 5 9 8 4 7 6 3 MRFI 5 4 2 3 2 1 1 0 0 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 MHC I MHC II MICA MICB ULBP-1 ULBP-2 ULBP-3 ULBP-4 Molecule Molecule FIGURE 4S FIGURE 5S Panel A Panel B FIGURE 6S A B C D Supplemental Results Table 1S. Modulation by IFN-α of APM in GBM CSC and FBS tumor cell lines. Molecule * Cell line IFN-α‡ HLA β2-m# HLA LMP TAP1 TAP2 class II A A HC§ 2 7 10 080125 CSCs - 1∞ (1) 3 (65) 2 (91) 1 (2) 6 (47) 2 (61) 1 (3) 1 (2) 1 (3) + 2 (81) 11 (80) 13 (99) 1 (3) 8 (88) 4 (91) 1 (2) 1 (3) 2 (68) 080125 FBS - 2 (81) 4 (63) 4 (83) 1 (3) 6 (80) 3 (67) 2 (86) 1 (3) 2 (75) + 2 (99) 14 (90) 7 (97) 5 (75) 7 (100) 6 (98) 2 (90) 1 (4) 3 (87) 080418 CSCs - 2 (51) 1 (1) 1 (3) 2 (47) 2 (83) 2 (54) 1 (4) 1 (2) 1 (3) + 2 (81) 3 (76) 5 (75) 2 (50) 2 (83) 3 (71) 1 (3) 2 (87) 1 (2) 080418 FBS - 1 (3) 3 (70) 2 (88) 1 (4) 3 (87) 2 (76) 1 (3) 1 (3) 1 (2) + 2 (78) 7 (98) 5 (99) 2 (94) 5 (100) 3 (100) 1 (4) 2 (100) 1 (2) 070104 CSCs - 1 (2) 1 (3) 1 (3) 2 (78) 1 (3) 1 (2) 1 (3) 1 (3) 1 (2) + 2 (98) 8 (100) 10 (88) 4 (89) 3 (98) 3 (94) 1 (4) 2 (86) 2 (79) * expression of APM molecules was evaluated by intracellular staining and cytofluorimetric analysis; ‡ cells were treatead or not (+/-) for 72 h with 1000 IU/ml of IFN-α; # β-2 microglobulin; § β-2 microglobulin-free HLA-A heavy chain; ∞ values are indicated as ratio between the mean of fluorescence intensity of cells stained with the selected mAb and that of the negative control; bold values indicate significant MRFI (≥ 2).
    [Show full text]
  • Modulation of the Alternative Pathway of Complement by Murine Factor H–Related Proteins
    The Journal of Immunology Modulation of the Alternative Pathway of Complement by Murine Factor H–Related Proteins Alexandra H. Antonioli,* Janice White,† Frances Crawford,† Brandon Renner,* Kevin J. Marchbank,‡ Jonathan P. Hannan,* Joshua M. Thurman,* Philippa Marrack,†,x,{ and V. Michael Holers* Factor H (FH) is a key alternative pathway regulator that controls complement activation both in the fluid phase and on specific cell surfaces, thus allowing the innate immune response to discriminate between self and foreign pathogens. However, the interrela- tionships between FH and a group of closely related molecules, designated the FH-related (FHR) proteins, are currently not well understood. Whereas some studies have suggested that human FHR proteins possess complement regulatory abilities, recent studies have shown that FHR proteins are potent deregulators. Furthermore, the roles of the FHR proteins have not been explored in any in vivo models of inflammatory disease. In this study, we report the cloning and expression of recombinant mouse FH and three FHR proteins (FHR proteins A–C). Results from functional assays show that FHR-A and FHR-B proteins antagonize the protective function of FH in sheep erythrocyte hemolytic assays and increase cell-surface C3b deposition on a mouse kidney proximal tubular cell line (TEC) and a human retinal pigment epithelial cell line (ARPE-19). We also report apparent KD values for the binding interaction of mouse C3d with mouse FH (3.85 mM), FHR-A (136 nM), FHR-B (546 nM), and FHR-C (1.04 mM), which directly correlate with results from functional assays. Collectively, our work suggests that similar to their human counterparts, a subset of mouse FHR proteins have an important modulatory role in complement activation.
    [Show full text]
  • Non-Syndromic Monogenic Male Infertility
    Acta Biomed 2019; Vol. 90, Supplement 10: 62-67 DOI: 10.23750/abm.v90i10-S.8762 © Mattioli 1885 Review Non-syndromic monogenic male infertility Giulia Guerri1, Tiziana Maniscalchi2, Shila Barati2, Gian Maria Busetto3, Francesco Del Giudice3, Ettore De Berardinis3, Rossella Cannarella4, Aldo Eugenio Calogero4, Matteo Bertelli2 1 MAGI’s Lab, Rovereto (TN), Italy; 2 MAGI Euregio, Bolzano, Italy; 3 Department of Urology, University of Rome La Sapien- za, Policlinico Umberto I, Rome, Italy; 4 Department of Clinical and Experimental Medicine, University of Catania, Catania, Italy Summary. Infertility is a widespread clinical problem affecting 8-12% of couples worldwide. Of these, about 30% are diagnosed with idiopathic infertility since no causative factor is found. Overall 40-50% of cases are due to male reproductive defects. Numerical or structural chromosome abnormalities have long been associ- ated with male infertility. Monogenic mutations have only recently been addressed in the pathogenesis of this condition. Mutations of specific genes involved in meiosis, mitosis or spermiohistogenesis result in spermato- genic failure, leading to the following anomalies: insufficient (oligozoospermia) or no (azoospermia) sperm production, limited progressive and/or total sperm motility (asthenozoospermia), altered sperm morphology (teratozoospermia), or combinations thereof. Androgen insensitivity, causing hormonal and sexual impair- ment in males with normal karyotype, also affects male fertility. The genetic causes of non-syndromic mono- genic of male infertility are summarized in this article and a gene panel is proposed. (www.actabiomedica.it) Key words: male infertility, oligozoospermia, azoospermia, asthenozoospermia, teratozoospermia, spermato- genic failure, androgen insensitivity syndrome Introduction development. Genetic causes of male infertility are outlined in Table 1.
    [Show full text]
  • Complement Factor H Deficiency and Endocapillary Glomerulonephritis Due to Paternal Isodisomy and a Novel Factor H Mutation
    Genes and Immunity (2011) 12, 90–99 & 2011 Macmillan Publishers Limited All rights reserved 1466-4879/11 www.nature.com/gene ORIGINAL ARTICLE Complement factor H deficiency and endocapillary glomerulonephritis due to paternal isodisomy and a novel factor H mutation L Schejbel1, IM Schmidt2, M Kirchhoff3, CB Andersen4, HV Marquart1, P Zipfel5 and P Garred1 1Department of Clinical Immunology, Laboratory of Molecular Medicine, Rigshospitalet, Copenhagen, Denmark; 2Department of Pediatrics, Rigshospitalet, Copenhagen, Denmark; 3Department of Clinical Genetics, Rigshospitalet, Copenhagen, Denmark; 4Department of Pathology, Rigshospitalet, Copenhagen, Denmark and 5Department of Infection Biology, Leibniz Institute for Natural Product Research and Infection Biology, Jena, Germany Complement factor H (CFH) is a regulator of the alternative complement activation pathway. Mutations in the CFH gene are associated with atypical hemolytic uremic syndrome, membranoproliferative glomerulonephritis type II and C3 glomerulonephritis. Here, we report a 6-month-old CFH-deficient child presenting with endocapillary glomerulonephritis rather than membranoproliferative glomerulonephritis (MPGN) or C3 glomerulonephritis. Sequence analyses showed homozygosity for a novel CFH missense mutation (Pro139Ser) associated with severely decreased CFH plasma concentration (o6%) but normal mRNA splicing and expression. The father was heterozygous carrier of the mutation, but the mother was a non-carrier. Thus, a large deletion in the maternal CFH locus or uniparental isodisomy was suspected. Polymorphic markers across chromosome 1 showed homozygosity for the paternal allele in all markers and a lack of the maternal allele in six informative markers. This combined with a comparative genomic hybridization assay demonstrated paternal isodisomy. Uniparental isodisomy increases the risk of homozygous variations in other genes on the affected chromosome.
    [Show full text]
  • Family Tree Dna Complaints
    Family Tree Dna Complaints If palladous or synchronal Zeus usually atrophies his Shane wadsets haggishly or beggar appealingly and soberly, how Peronist is Kaiser? Mongrel and auriferous Bradford circlings so paradigmatically that Clifford expatiates his dischargers. Ropier Carter injects very indigestibly while Reed remains skilful and topfull. Family finder results will receive an answer Of torch the DNA testing companies FamilyTreeDNA does not score has strong marks from its users In summer both 23andMe and AncestryDNA score. Sent off as a tree complaints about the aclu attorney vera eidelman wrote his preteen days you hand parts to handle a tree complaints and quickly build for a different charts and translation and. Family Tree DNA Reviews Legit or Scam Reviewopedia. Want to family tree dna family tree complaints. Everything about new england or genetic information contained some reason or personal data may share dna family complaints is the results. Family Tree DNA 53 Reviews Laboratory Testing 1445 N. It yourself help to verify your family modest and excellent helpful clues to inform. A genealogical relationship is integrity that appears on black family together It's documented by how memory and traditional genealogical research. These complaints are dna family complaints. The private history website Ancestrycom is selling a new DNA testing service called AncestryDNA But the DNA and genetic data that Ancestrycom collects may be. Available upon request to family tree dna complaints about family complaints and. In the authors may be as dna family tree complaints and visualise the mixing over the match explanation of your genealogy testing not want organized into the raw data that is less.
    [Show full text]
  • Identification of FBXL4 As a Metastasis Associated Gene in Prostate Cancer
    Identification of FBXL4 as a Metastasis Associated Gene in Prostate Cancer Elzbieta Stankiewicz1 , Xueying Mao1, D Chas Mangham2 , Lei Xu1, Marc Yeste- Velasco1, Gabrielle Fisher3, Bernard North3, Tracy Chaplin1, Bryan Young4, Yuqin Wang1, Jasmin Kaur Bansal1, Sakunthala Kudahetti1, Lucy Spencer1, Christopher S Foster5, Henrik Moller6, Peter Scardino7, R Tim Oliver1, Jonathan Shamash1, Jack Cuzick3, Colin S Cooper8, Daniel M Berney1,+, Yong-Jie Lu1,+,* 1 Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK 2 The Robert Jones and Agnes Hunt Orthopaedic Hospital, Department of Pathology, Oswestry, Shropshire SY10 7AG, UK 3 Cancer Research UK Centre for Epidemiology, Mathematics and Statistics, Wolfson Institute of Preventive Medicine, Queen Mary University of London, London EC1 6BQ, UK 4 Centre for Haemato-Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK 5 Division of Cellular and Molecular Pathology, University of Liverpool, Liverpool L69 3BX, UK 6 King's College London, Cancer Epidemiology and Population Health, London SE1 9RT, UK 7 Department of Urology, Memorial Sloan Kettering Cancer Center, New York, NY 10065, USA 1 8 School of Medicine, University of East Anglia, Norwich, NR4 7TJ, UK +These authors contributed equally as senior role *Corresponding author: Yong-Jie Lu, Molecular Oncology, Barts Cancer Institute, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, Telephone number: 442078823563, Fax: 442078823884, e-mail address: [email protected] 2 Abstract Prostate cancer is the most common cancer among western men, with a significant mortality and morbidity reported for advanced metastatic disease. Current understanding of metastatic disease is limited due to difficulty of sampling as prostate cancer mainly metastasizes to bone.
    [Show full text]
  • The Role of Y Chromosome Deletions in Male Infertility
    European Journal of Endocrinology (2000) 142 418–430 ISSN 0804-4643 INVITED REVIEW The role of Y chromosome deletions in male infertility Kun Ma, Con Mallidis and Shalender Bhasin Division of Endocrinology, Metabolism and Molecular Medicine, Department of Internal Medicine, Charles R Drew University of Medicine and Science, 1731 East 120th Street, Los Angeles, California 90050, USA (Correspondence should be addressed to K Ma; Email: [email protected]) Abstract Male infertility affects approximately 2–7% of couples around the world. Over one in ten men who seek help at infertility clinics are diagnosed as severely oligospermic or azoospermic. Recent extensive molecular studies have revealed that deletions in the azoospermia factor region of the long arm of the Y chromosome are associated with severe spermatogenic impairment (absent or severely reduced germ cell development). Genetic research into male infertility, in the last 7 years, has resulted in the isolation of a great number of genes or gene families on the Y chromosome, some of which are believed to influence spermatogenesis. European Journal of Endocrinology 142 418–430 Introduction of Infertility, with the objective of creating a standard protocol for the investigation of infertile couples. Normal Defective spermatogenesis is the result of a multitude of semen was classified as containing a sperm concentra- causes, such as diseases, malnutrition, endocrinological 6 tion of at least 20 × 10 /ml, of which more than 40% disorders, genetic defects or environmental hazards (1). are progressively motile, more than 60% are alive, and Genetic defects, such as mutations and chromosomal over 50% show normal morphology. In addition, the abnormalities, have been estimated to account for at 6 semen should contain no more than 1 × 10 /ml of white least 30% of male infertility (2).
    [Show full text]
  • 'Next- Generation' Sequencing Data Analysis
    Novel Algorithm Development for ‘Next- Generation’ Sequencing Data Analysis Agne Antanaviciute Submitted in accordance with the requirements for the degree of Doctor of Philosophy University of Leeds School of Medicine Leeds Institute of Biomedical and Clinical Sciences 12/2017 ii The candidate confirms that the work submitted is her own, except where work which has formed part of jointly-authored publications has been included. The contribution of the candidate and the other authors to this work has been explicitly given within the thesis where reference has been made to the work of others. This copy has been supplied on the understanding that it is copyright material and that no quotation from the thesis may be published without proper acknowledgement ©2017 The University of Leeds and Agne Antanaviciute The right of Agne Antanaviciute to be identified as Author of this work has been asserted by her in accordance with the Copyright, Designs and Patents Act 1988. Acknowledgements I would like to thank all the people who have contributed to this work. First and foremost, my supervisors Dr Ian Carr, Professor David Bonthron and Dr Christopher Watson, who have provided guidance, support and motivation. I could not have asked for a better supervisory team. I would also like to thank my collaborators Dr Belinda Baquero and Professor Adrian Whitehouse for opening new, interesting research avenues. A special thanks to Dr Belinda Baquero for all the hard wet lab work without which at least half of this thesis would not exist. Thanks to everyone at the NGS Facility – Carolina Lascelles, Catherine Daley, Sally Harrison, Ummey Hany and Laura Crinnion – for the generation of NGS data used in this work and creating a supportive and stimulating work environment.
    [Show full text]
  • Supplementary Materials
    Supplementary materials Supplementary Table S1: MGNC compound library Ingredien Molecule Caco- Mol ID MW AlogP OB (%) BBB DL FASA- HL t Name Name 2 shengdi MOL012254 campesterol 400.8 7.63 37.58 1.34 0.98 0.7 0.21 20.2 shengdi MOL000519 coniferin 314.4 3.16 31.11 0.42 -0.2 0.3 0.27 74.6 beta- shengdi MOL000359 414.8 8.08 36.91 1.32 0.99 0.8 0.23 20.2 sitosterol pachymic shengdi MOL000289 528.9 6.54 33.63 0.1 -0.6 0.8 0 9.27 acid Poricoic acid shengdi MOL000291 484.7 5.64 30.52 -0.08 -0.9 0.8 0 8.67 B Chrysanthem shengdi MOL004492 585 8.24 38.72 0.51 -1 0.6 0.3 17.5 axanthin 20- shengdi MOL011455 Hexadecano 418.6 1.91 32.7 -0.24 -0.4 0.7 0.29 104 ylingenol huanglian MOL001454 berberine 336.4 3.45 36.86 1.24 0.57 0.8 0.19 6.57 huanglian MOL013352 Obacunone 454.6 2.68 43.29 0.01 -0.4 0.8 0.31 -13 huanglian MOL002894 berberrubine 322.4 3.2 35.74 1.07 0.17 0.7 0.24 6.46 huanglian MOL002897 epiberberine 336.4 3.45 43.09 1.17 0.4 0.8 0.19 6.1 huanglian MOL002903 (R)-Canadine 339.4 3.4 55.37 1.04 0.57 0.8 0.2 6.41 huanglian MOL002904 Berlambine 351.4 2.49 36.68 0.97 0.17 0.8 0.28 7.33 Corchorosid huanglian MOL002907 404.6 1.34 105 -0.91 -1.3 0.8 0.29 6.68 e A_qt Magnogrand huanglian MOL000622 266.4 1.18 63.71 0.02 -0.2 0.2 0.3 3.17 iolide huanglian MOL000762 Palmidin A 510.5 4.52 35.36 -0.38 -1.5 0.7 0.39 33.2 huanglian MOL000785 palmatine 352.4 3.65 64.6 1.33 0.37 0.7 0.13 2.25 huanglian MOL000098 quercetin 302.3 1.5 46.43 0.05 -0.8 0.3 0.38 14.4 huanglian MOL001458 coptisine 320.3 3.25 30.67 1.21 0.32 0.9 0.26 9.33 huanglian MOL002668 Worenine
    [Show full text]
  • Exploring the Relationship Between Gut Microbiota and Major Depressive Disorders
    E3S Web of Conferences 271, 03055 (2021) https://doi.org/10.1051/e3sconf/202127103055 ICEPE 2021 Exploring the Relationship between Gut Microbiota and Major Depressive Disorders Catherine Tian1 1Shanghai American School, Shanghai, China Abstract. Major Depressive Disorder (MDD) is a psychiatric disorder accompanied with a high rate of suicide, morbidity and mortality. With the symptom of an increasing or decreasing appetite, there is a possibility that MDD may have certain connections with gut microbiota, the colonies of microbes which reside in the human digestive system. In recent years, more and more studies started to demonstrate the links between MDD and gut microbiota from animal disease models and human metabolism studies. However, this relationship is still largely understudied, but it is very innovative since functional dissection of this relationship would furnish a new train of thought for more effective treatment of MDD. In this study, by using multiple genetic analytic tools including Allen Brain Atlas, genetic function analytical tools, and MicrobiomeAnalyst, I explored the genes that shows both expression in the brain and the digestive system to affirm that there is a connection between gut microbiota and the MDD. My approach finally identified 7 MDD genes likely to be associated with gut microbiota, implicating 3 molecular pathways: (1) Wnt Signaling, (2) citric acid cycle in the aerobic respiration, and (3) extracellular exosome signaling. These findings may shed light on new directions to understand the mechanism of MDD, potentially facilitating the development of probiotics for better psychiatric disorder treatment. 1 Introduction 1.1 Major Depressive Disorder Major Depressive Disorder (MDD) is a mood disorder that will affect the mood, behavior and other physical parts.
    [Show full text]
  • Genomic Signatures of Recent Adaptive Divergence in the Swamp Sparrow (Melospiza Georgiana)
    GENOMIC SIGNATURES OF RECENT ADAPTIVE DIVERGENCE IN THE SWAMP SPARROW (MELOSPIZA GEORGIANA) A Dissertation Presented to the Faculty of the Graduate School of Cornell University In Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy by Petra Elizabeth Deane December 2017 © 2017 Petra Elizabeth Deane GENOMIC SIGNATURES OF RECENT ADAPTIVE DIVERGENCE IN THE SWAMP SPARROW (MELOSPIZA GEORGIANA) Petra Elizabeth Deane, Ph. D. Cornell University 2017 Populations that have recently diverged across sharp environmental gradients provide an opportunity to study the mechanisms by which natural selection drives adaptive divergence. Inland and coastal populations of the North American swamp sparrow (Melospiza georgiana) have become an emerging model system for studies of natural selection because they are morphologically and behaviorally distinct despite a very recent divergence time (<15,000 years), yet common garden experiments have demonstrated a genetic basis for their differences. I characterized genomic patterns of variation within and between inland and coastal swamp sparrows via reduced representation sequencing and demonstrated that background genomic differentiation (FST=0.02) and divergence (ΦST=0.05) between these populations is very low, rendering signatures of natural selection highly detectable (max FST=0.8). I then sequenced and assembled a de novo reference genome for the species and conducted a scan for genes involved in coastal adaptation, particularly the evolution of a deeper bill, darker plumage, and tolerance for salinity. I recovered a multigenic snapshot of adaptation via robust signatures of selection at 31 genes. As in Darwin’s finches, bone morphogenetic protein (BMP) signaling appears responsible for changes in bill depth, a putative magic trait for ecological speciation.
    [Show full text]
  • Searching the Internet for Genealogical and Family History Records
    Searching the Internet for Genealogical and Family History Records Welcome Spring 2019 1 Joseph Sell Gain confidence in your searching Using Genealogy sources to find records Course Objectives Improve your search skills Use research libraries and repositories 2 Bibliography • Built on the course George King has presented over several years • “The Complete Idiot’s Guide to Genealogy” Christine Rose and Kay Germain Ingalls • “The Sources – A Guidebook to American Genealogy” –(ed) Loretto Dennis Szuco and Sandra Hargreaves Luebking • “The Genealogy Handbook” – Ellen Galford • “Genealogy Online for Dummies” – Matthew L Helm and April Leigh Helm • “Genealogy Online” – Elizabeth Powell Crowe • “The Everything Guide to Online Genealogy” – Kimberly Powell • “Discover the 101 Genealogy Websites That Take the Cake in 2015” – David A Frywell (Family Tree Magazine Sept 2015 page 16) 3 Bibliography (Continued) • “Social Networking for Genealogist”, Drew Smith • “The Complete Beginner’s Guide to Genealogy, the Internet, and Your Genealogy Computer Program”, Karen Clifford • “Advanced Genealogy – Research Techniques” George G Morgan and Drew Smith • “101 of the Best Free Websites for Climbing Your Family Tree” – Nancy Hendrickson • “AARP Genealogy Online tech to connect” – Matthew L Helm and April Leigh Helm • Family Tree Magazine 4 • All records are the product of human endeavor • To err is human • Not all records are online; most General records are in local repositories Comments • Find, check, and verify the accuracy of all information • The internet is a dynamic environment with content constantly changing 5 • Tip 1: Start with the basic facts, first name, last name, a date, and a place. • Tip 2: Learn to use control to filter hits.
    [Show full text]