Deciphering Common and Rare Genetic E Ects on Reading Ability
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Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma
Anatomy and Pathology Whole-Genome Microarray Detects Deletions and Loss of Heterozygosity of Chromosome 3 Occurring Exclusively in Metastasizing Uveal Melanoma Sarah L. Lake,1 Sarah E. Coupland,1 Azzam F. G. Taktak,2 and Bertil E. Damato3 PURPOSE. To detect deletions and loss of heterozygosity of disease is fatal in 92% of patients within 2 years of diagnosis. chromosome 3 in a rare subset of fatal, disomy 3 uveal mela- Clinical and histopathologic risk factors for UM metastasis noma (UM), undetectable by fluorescence in situ hybridization include large basal tumor diameter (LBD), ciliary body involve- (FISH). ment, epithelioid cytomorphology, extracellular matrix peri- ϩ ETHODS odic acid-Schiff-positive (PAS ) loops, and high mitotic M . Multiplex ligation-dependent probe amplification 3,4 5 (MLPA) with the P027 UM assay was performed on formalin- count. Prescher et al. showed that a nonrandom genetic fixed, paraffin-embedded (FFPE) whole tumor sections from 19 change, monosomy 3, correlates strongly with metastatic death, and the correlation has since been confirmed by several disomy 3 metastasizing UMs. Whole-genome microarray analy- 3,6–10 ses using a single-nucleotide polymorphism microarray (aSNP) groups. Consequently, fluorescence in situ hybridization were performed on frozen tissue samples from four fatal dis- (FISH) detection of chromosome 3 using a centromeric probe omy 3 metastasizing UMs and three disomy 3 tumors with Ͼ5 became routine practice for UM prognostication; however, 5% years’ metastasis-free survival. to 20% of disomy 3 UM patients unexpectedly develop metas- tases.11 Attempts have therefore been made to identify the RESULTS. Two metastasizing UMs that had been classified as minimal region(s) of deletion on chromosome 3.12–15 Despite disomy 3 by FISH analysis of a small tumor sample were found these studies, little progress has been made in defining the key on MLPA analysis to show monosomy 3. -
A Chromosome Level Genome of Astyanax Mexicanus Surface Fish for Comparing Population
bioRxiv preprint doi: https://doi.org/10.1101/2020.07.06.189654; this version posted July 6, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. 1 Title 2 A chromosome level genome of Astyanax mexicanus surface fish for comparing population- 3 specific genetic differences contributing to trait evolution. 4 5 Authors 6 Wesley C. Warren1, Tyler E. Boggs2, Richard Borowsky3, Brian M. Carlson4, Estephany 7 Ferrufino5, Joshua B. Gross2, LaDeana Hillier6, Zhilian Hu7, Alex C. Keene8, Alexander Kenzior9, 8 Johanna E. Kowalko5, Chad Tomlinson10, Milinn Kremitzki10, Madeleine E. Lemieux11, Tina 9 Graves-Lindsay10, Suzanne E. McGaugh12, Jeff T. Miller12, Mathilda Mommersteeg7, Rachel L. 10 Moran12, Robert Peuß9, Edward Rice1, Misty R. Riddle13, Itzel Sifuentes-Romero5, Bethany A. 11 Stanhope5,8, Clifford J. Tabin13, Sunishka Thakur5, Yamamoto Yoshiyuki14, Nicolas Rohner9,15 12 13 Authors for correspondence: Wesley C. Warren ([email protected]), Nicolas Rohner 14 ([email protected]) 15 16 Affiliation 17 1Department of Animal Sciences, Department of Surgery, Institute for Data Science and 18 Informatics, University of Missouri, Bond Life Sciences Center, Columbia, MO 19 2 Department of Biological Sciences, University of Cincinnati, Cincinnati, OH 20 3 Department of Biology, New York University, New York, NY 21 4 Department of Biology, The College of Wooster, Wooster, OH 22 5 Harriet L. Wilkes Honors College, Florida Atlantic University, Jupiter FL 23 6 Department of Genome Sciences, University of Washington, Seattle, WA 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.07.06.189654; this version posted July 6, 2020. -
MOCHI Enables Discovery of Heterogeneous Interactome Modules in 3D Nucleome
Downloaded from genome.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press MOCHI enables discovery of heterogeneous interactome modules in 3D nucleome Dechao Tian1,# , Ruochi Zhang1,# , Yang Zhang1, Xiaopeng Zhu1, and Jian Ma1,* 1Computational Biology Department, School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA #These two authors contributed equally *Correspondence: [email protected] Contact To whom correspondence should be addressed: Jian Ma School of Computer Science Carnegie Mellon University 7705 Gates-Hillman Complex 5000 Forbes Avenue Pittsburgh, PA 15213 Phone: +1 (412) 268-2776 Email: [email protected] 1 Downloaded from genome.cshlp.org on October 4, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract The composition of the cell nucleus is highly heterogeneous, with different constituents forming complex interactomes. However, the global patterns of these interwoven heterogeneous interactomes remain poorly understood. Here we focus on two different interactomes, chromatin interaction network and gene regulatory network, as a proof-of-principle, to identify heterogeneous interactome modules (HIMs), each of which represents a cluster of gene loci that are in spatial contact more frequently than expected and that are regulated by the same group of transcription factors. HIM integrates transcription factor binding and 3D genome structure to reflect “transcriptional niche” in the nucleus. We develop a new algorithm MOCHI to facilitate the discovery of HIMs based on network motif clustering in heterogeneous interactomes. By applying MOCHI to five different cell types, we found that HIMs have strong spatial preference within the nucleus and exhibit distinct functional properties. Through integrative analysis, this work demonstrates the utility of MOCHI to identify HIMs, which may provide new perspectives on the interplay between transcriptional regulation and 3D genome organization. -
Genome-Wide Association Scan Identifies New Variants Associated
Gialluisi et al. Translational Psychiatry (2019) 9:77 https://doi.org/10.1038/s41398-019-0402-0 Translational Psychiatry ARTICLE Open Access Genome-wide association scan identifies new variants associated with a cognitive predictor of dyslexia Alessandro Gialluisi 1,2,3, Till F. M. Andlauer 1,2, Nazanin Mirza-Schreiber1,KristinaMoll4, Jessica Becker5,6, Per Hoffmann 5,6, Kerstin U. Ludwig 5,6,DarinaCzamara 1,BeateStPourcain 7,8,9, William Brandler10, Ferenc Honbolygó11,DénesTóth11,ValériaCsépe11, Guillaume Huguet12,13, Andrew P. Morris14,15, Jacqueline Hulslander16, Erik G. Willcutt16, John C. DeFries16,RichardK.Olson16, Shelley D. Smith17, Bruce F. Pennington18, Anniek Vaessen19,UrsMaurer20, Heikki Lyytinen21, Myriam Peyrard-Janvid22, Paavo H. T. Leppänen21, Daniel Brandeis23,24,25,26, Milene Bonte19,JohnF.Stein 27,JoelB.Talcott 28, Fabien Fauchereau12,13, Arndt Wilcke29,ClydeFrancks7,8, Thomas Bourgeron12,13, Anthony P. Monaco15,30, Franck Ramus 31, Karin Landerl32,JuhaKere 22,33,34,ThomasS.Scerri15,35, Silvia Paracchini 36,SimonE.Fisher 7,8, Johannes Schumacher5,6,MarkusM.Nöthen5,6, Bertram Müller-Myhsok1,2,37 and Gerd Schulte-Körne4 Abstract Developmental dyslexia (DD) is one of the most prevalent learning disorders, with high impact on school and psychosocial development and high comorbidity with conditions like attention-deficit hyperactivity disorder (ADHD), depression, and anxiety. DD is characterized by deficits in different cognitive skills, including word reading, spelling, 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; rapid naming, and phonology. To investigate the genetic basis of DD, we conducted a genome-wide association study (GWAS) of these skills within one of the largest studies available, including nine cohorts of reading-impaired and typically developing children of European ancestry (N = 2562–3468). -
Noncoding Rnas As Novel Pancreatic Cancer Targets
NONCODING RNAS AS NOVEL PANCREATIC CANCER TARGETS by Amy Makler A Thesis Submitted to the Faculty of The Charles E. Schmidt College of Science In Partial Fulfillment of the Requirements for the Degree of Master of Science Florida Atlantic University Boca Raton, FL August 2018 Copyright 2018 by Amy Makler ii ACKNOWLEDGEMENTS I would first like to thank Dr. Narayanan for his continuous support, constant encouragement, and his gentle, but sometimes critical, guidance throughout the past two years of my master’s education. His faith in my abilities and his belief in my future success ensured I continue down this path of research. Working in Dr. Narayanan’s lab has truly been an unforgettable experience as well as a critical step in my future endeavors. I would also like to extend my gratitude to my committee members, Dr. Binninger and Dr. Jia, for their support and suggestions regarding my thesis. Their recommendations added a fresh perspective that enriched our initial hypothesis. They have been indispensable as members of my committee, and I thank them for their contributions. My parents have been integral to my successes in life and their support throughout my education has been crucial. They taught me to push through difficulties and encouraged me to pursue my interests. Thank you, mom and dad! I would like to thank my boyfriend, Joshua Disatham, for his assistance in ensuring my writing maintained a logical progression and flow as well as his unwavering support. He was my rock when the stress grew unbearable and his encouraging words kept me pushing along. -
Genome-Wide Insights on Gastrointestinal Nematode
www.nature.com/scientificreports OPEN Genome‑wide insights on gastrointestinal nematode resistance in autochthonous Tunisian sheep A. M. Ahbara1,2, M. Rouatbi3,4, M. Gharbi3,4, M. Rekik1, A. Haile1, B. Rischkowsky1 & J. M. Mwacharo1,5* Gastrointestinal nematode (GIN) infections have negative impacts on animal health, welfare and production. Information from molecular studies can highlight the underlying genetic mechanisms that enhance host resistance to GIN. However, such information often lacks for traditionally managed indigenous livestock. Here, we analysed 600 K single nucleotide polymorphism genotypes of GIN infected and non‑infected traditionally managed autochthonous Tunisian sheep grazing communal natural pastures. Population structure analysis did not fnd genetic diferentiation that is consistent with infection status. However, by contrasting the infected versus non‑infected cohorts using ROH, LR‑GWAS, FST and XP‑EHH, we identifed 35 candidate regions that overlapped between at least two methods. Nineteen regions harboured QTLs for parasite resistance, immune capacity and disease susceptibility and, ten regions harboured QTLs for production (growth) and meat and carcass (fatness and anatomy) traits. The analysis also revealed candidate regions spanning genes enhancing innate immune defence (SLC22A4, SLC22A5, IL‑4, IL‑13), intestinal wound healing/repair (IL‑4, VIL1, CXCR1, CXCR2) and GIN expulsion (IL‑4, IL‑13). Our results suggest that traditionally managed indigenous sheep have evolved multiple strategies that evoke and enhance GIN resistance and developmental stability. They confrm the importance of obtaining information from indigenous sheep to investigate genomic regions of functional signifcance in understanding the architecture of GIN resistance. Small ruminants (sheep and goats) make immense socio-economic and cultural contributions across the globe. -
Genome-Wide Association Scan Identifies
Gialluisi et al. Translational Psychiatry (2019) 9:77 https://doi.org/10.1038/s41398-019-0402-0 Translational Psychiatry ARTICLE Open Access Genome-wide association scan identifies new variants associated with a cognitive predictor of dyslexia Alessandro Gialluisi 1,2,3, Till F. M. Andlauer 1,2, Nazanin Mirza-Schreiber1,KristinaMoll4, Jessica Becker5,6, Per Hoffmann 5,6, Kerstin U. Ludwig 5,6,DarinaCzamara 1,BeateStPourcain 7,8,9, William Brandler10, Ferenc Honbolygó11,DénesTóth11,ValériaCsépe11, Guillaume Huguet12,13, Andrew P. Morris14,15, Jacqueline Hulslander16, Erik G. Willcutt16, John C. DeFries16,RichardK.Olson16, Shelley D. Smith17, Bruce F. Pennington18, Anniek Vaessen19,UrsMaurer20, Heikki Lyytinen21, Myriam Peyrard-Janvid22, Paavo H. T. Leppänen21, Daniel Brandeis23,24,25,26, Milene Bonte19,JohnF.Stein 27,JoelB.Talcott 28, Fabien Fauchereau12,13, Arndt Wilcke29,ClydeFrancks7,8, Thomas Bourgeron12,13, Anthony P. Monaco15,30, Franck Ramus 31, Karin Landerl32,JuhaKere 22,33,34,ThomasS.Scerri15,35, Silvia Paracchini 36,SimonE.Fisher 7,8, Johannes Schumacher5,6,MarkusM.Nöthen5,6, Bertram Müller-Myhsok1,2,37 and Gerd Schulte-Körne4 Abstract Developmental dyslexia (DD) is one of the most prevalent learning disorders, with high impact on school and psychosocial development and high comorbidity with conditions like attention-deficit hyperactivity disorder (ADHD), depression, and anxiety. DD is characterized by deficits in different cognitive skills, including word reading, spelling, 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; rapid naming, and phonology. To investigate the genetic basis of DD, we conducted a genome-wide association study (GWAS) of these skills within one of the largest studies available, including nine cohorts of reading-impaired and typically developing children of European ancestry (N = 2562–3468). -
Genetic Epidemiology of Hypertension in Populations
GENETIC EPIDEMIOLOGY OF HYPERTENSION IN POPULATIONS: APPLICATIONS OF MODIFIED METHODS by PRIYA BHATIA SHETTY, M.S. Submitted in partial fulfillment of the requirements For the degree of Doctor of Philosophy Dissertation Adviser: Xiaofeng Zhu, Ph.D. Department of Epidemiology and Biostatistics CASE WESTERN RESERVE UNIVERSITY January, 2014 CASE WESTERN RESERVE UNIVERSITY SCHOOL OF GRADUATE STUDIES We hereby approve the dissertation of Priya Bhatia Shetty, candidate for the Doctor of Philosophy degree*. Xiaofeng Zhu, PhD Robert C. Elston, PhD Jing Li, PhD Nathan Morris, PhD September 6, 2013 *We also certify that written approval has been obtained for any proprietary material contained therein. 2 Dedication This dissertation is dedicated to my husband Manju and our children Suvan, Poppy, Jujubee, and Sayali. 3 TABLE OF CONTENTS List of Tables………………………………………………………………….…………..5 List of Figures…………………………………………………………………………….6 Abstract……………………………………………………………………….…………..7 Chapter 1. Background……………………………………………………...….…………9 Chapter 2. Specific Aims………..……………………………………………………….53 Chapter 3. Variants in CXADR and F2RL1 are associated with blood pressure and obesity in African-Americans in regions identified through admixture mapping………………..60 Chapter 4. Novel variants for HDL-C, LDL-C and triglycerides identified from admixture mapping and fine-mapping analysis in families…...…………………………………….85 Chapter 5. Identification of admixture regions associated with risk of apparent treatment- resistant hypertension in African-Americans………..………………………………….117 Chapter 6. Discussion………………………………..………………………………....137 References………………………………………………………………………………142 4 List of Tables Chapter 1. Table 1. Genome-wide Association Studies of Hypertension………...……...40 Chapter 1. Table 2. Other Analysis Methods in the Genetic Analysis of Hypertension in Unrelated Subjects………………………………………………………………...……..51 Chapter 3. Table 1. Summary statistics…………………………………………...……..80 Chapter 3. Table 2. Results of gene-based multivariable regression models……..….….81 Chapter 3. -
BCL9 and C9orf5 Are Associated with Negative Symptoms in Schizophrenia: Meta-Analysis of Two Genome-Wide Association Studies
University of Texas Rio Grande Valley ScholarWorks @ UTRGV Health and Biomedical Sciences Faculty Publications and Presentations College of Health Professions 2013 BCL9 and C9orf5 are associated with negative symptoms in schizophrenia: meta-analysis of two genome-wide association studies Chun Xu The University of Texas Rio Grande Valley Nagesh Aragam Xia Li Erika Cynthia Villa Liang Wang See next page for additional authors Follow this and additional works at: https://scholarworks.utrgv.edu/hbs_fac Part of the Psychiatry and Psychology Commons Recommended Citation Xu, C., Aragam, N., Li, X., Villla, E. C., Wang, L., Briones, D., Petty, L., Posada, Y., Arana, T. B., Cruz, G., Mao, C., Camarillo, C., Su, B. B., Escamilla, M. A., & Wang, K. (2013). BCL9 and C9orf5 are associated with negative symptoms in schizophrenia: meta-analysis of two genome-wide association studies. PloS one, 8(1), e51674. https://doi.org/10.1371/journal.pone.0051674 This Article is brought to you for free and open access by the College of Health Professions at ScholarWorks @ UTRGV. It has been accepted for inclusion in Health and Biomedical Sciences Faculty Publications and Presentations by an authorized administrator of ScholarWorks @ UTRGV. For more information, please contact [email protected], [email protected]. Authors Chun Xu, Nagesh Aragam, Xia Li, Erika Cynthia Villa, Liang Wang, David Briones, Brenda Bin Su, Michael A. Escamilla, and KeSheng Wang This article is available at ScholarWorks @ UTRGV: https://scholarworks.utrgv.edu/hbs_fac/85 BCL9 and C9orf5 Are Associated with Negative Symptoms in Schizophrenia: Meta-Analysis of Two Genome-Wide Association Studies Chun Xu1*, Nagesh Aragam2,3, Xia Li4, Erika Cynthia Villla5, Liang Wang2, David Briones1, Leonora Petty1, Yolanda Posada6, Tania Bedard Arana1, Grace Cruz1, ChunXiang Mao7, Cynthia Camarillo1, Brenda Bin Su7, Michael A. -
Bioinformatics Mining of the Dark Matter Proteome For
BIOINFORMATICS MINING OF THE DARK MATTER PROTEOME FOR CANCER TARGETS DISCOVERY by Ana Paula Delgado A Thesis Submitted to the Faculty of The Charles E. Schmidt College of Science In Partial Fulfillment of the Requirements for the Degree of Master of Science Florida Atlantic University Boca Raton, Florida May 2015 Copyright 2015 by Ana Paula Delgado ii ACKNOWLEDGEMENTS I would first like to thank Dr. Narayanan for his continuous encouragement, guidance, and support during the past two years of my graduate education. It has truly been an unforgettable experience working in his laboratory. I also want to express gratitude to my external advisor Professor Van de Ven from the University of Leuven, Belgium for his constant involvement and assistance on my project. Moreover, I would like to thank Dr. Binninger and Dr. Dawson-Scully for their advice and for agreeing to serve on my thesis committee. I also thank provost Dr. Perry for his involvement in my project. I thank Jeanine Narayanan for editorial assistance with the publications and with this dissertation. It has been a pleasure working with various undergraduate students some of whom became lab mates including Pamela Brandao, Maria Julia Chapado and Sheilin Hamid. I thank them for their expert help in the projects we were involved in. Lastly, I want to express my profound thanks to my parents and brother for their unconditional love, support and guidance over the last couple of years. They were my rock when I was in doubt and never let me give up. I would also like to thank my boyfriend Spencer Daniel and best friends for being part of an incredible support system. -
Downloaded from Ensembl
UCSF UC San Francisco Electronic Theses and Dissertations Title Detecting genetic similarity between complex human traits by exploring their common molecular mechanism Permalink https://escholarship.org/uc/item/1k40s443 Author Gu, Jialiang Publication Date 2019 Peer reviewed|Thesis/dissertation eScholarship.org Powered by the California Digital Library University of California by Submitted in partial satisfaction of the requirements for degree of in in the GRADUATE DIVISION of the UNIVERSITY OF CALIFORNIA, SAN FRANCISCO AND UNIVERSITY OF CALIFORNIA, BERKELEY Approved: ______________________________________________________________________________ Chair ______________________________________________________________________________ ______________________________________________________________________________ ______________________________________________________________________________ ______________________________________________________________________________ Committee Members ii Acknowledgement This project would not have been possible without Prof. Dr. Hao Li, Dr. Jiashun Zheng and Dr. Chris Fuller at the University of California, San Francisco (UCSF) and Caribou Bioscience. The Li lab grew into a multi-facet research group consist of both experimentalists and computational biologists covering three research areas including cellular/molecular mechanism of ageing, genetic determinants of complex human traits and structure, function, evolution of gene regulatory network. Labs like these are the pillar of global success and reputation -
Supplementary Data
Gene expression profile of the A549 human non-small cell lung carcinoma cell line following treatment with the seeds of Descurainia sophia, a potential anticancer drug Bu-Yeo Kim, Jun Lee, Sung Joon Park, Ok-Sun Bang, and No Soo Kim Supplementary Data Figure Legends Supplementary Figure 1. Electropherogram of total RNA samples used for gene expression profiles. The A549 cells were treated with increasing concentrations of EEDS (0-20 mg/mL). After 24 h drug treatment, total RNAs were extracted from the cells, and their integrities were determined by electropherogram. RIN values range from 10 (intact) to 1(totally degraded). Supplementary Figure 2. Pathways enriched (FDR<0.01) in the Up- and Down-patterns. The genes that are shown in Table 5 and Figure 4, and involved in each pathway are highlighted in green Supplementary Figure 3. The level of similarity is represented in red with a scale bar. The color in the box of a diagonal line or “Activity” on the right panel represents the activity of the pathway. The positions and names of signaling-related pathways are colored red and the metabolism-related pathways are colored blue. Supplementary Table 1. Quality control of total RNA samples used for gene expression analysis. * EEDS (mg/mL) OD260/280 OD260/230 Ratio (28s/18s) RIN Result 0 2.04 2.22 2.3 9.8 Pass 1.25 2.03 2.28 2.2 10.0 Pass 5 2.03 2.28 2.1 10.0 Pass 20 2.04 2.23 2.0 10.0 Pass *RIN values, 10 (intact) to 1 (completely degraded).