PPT-1 FSTL4 and SEMA5A are associated with alcohol dependence: meta-analysis of two genome-wide

Kesheng Wang PhD Department of Biostatistics and Epidemiology College of Public Health East Tennessee State University 2 Outline Introduction Alcohol dependence AD Genetic study Subjects and Methods. Prof. M. H-Evans. Reims University. A very short summary . 5 minutes to . summarise. I . shall. . mostly. . draw. . upon. : . Bennett T., . Holloway. K., . Farrington. D. (2008), ‘The . statistical. Lecture 1: Introduction. Linkage studies. Traditional approach to identifying genes for human traits and diseases was through linkage.. For . Mendelian. diseases (e.g. Huntington’s disease) there is a clear co-segregation of genetic markers with disease within pedigrees.. BIOST 2055. 04/01/2015. Human Genome and Single Nucleotide Polymorphisms (SNPs). 23 chromosome pairs. 3 billion bases. A single nucleotide change between pairs of chromosomes. E.g. . Haplotype1. : AAGG. EPI 811 Individual Presentation. Chapter 10 of . Szklo. and Nieto’s . Epidemiology: Beyond the Basics. Anton Frattaroli. Sensitivity Analysis. Generally, an assessment of how systematic or random errors affect an effect estimates’ representativeness of the actual effect (the validity of the effect estimate).. Nadia Khan, Rick Smith, . and Anna . Kuperman. Epigenetics 2012. Introduction. Most Genome Wide Approaches were adapted from technologies originally developed for detecting methylation at the level of a single gene. Concept Splash (10 minutes!). You are to write sentences using the words in front of you. You cannot use your book or notes or ask another group or Ms. . Mcgurl. to describe a term to you. Sentences must be compound sentences that describe knowledge of the terms (Ms. . Jaswin Sawhney. Maine Medical Center. Portland, Maine. Introduction to Meta-Analysis. What is a systematic review? . A systematic review is a research methodology that tries to identify, select, appraise, and synthesize all research evidence relevant to a specific research question . Introduction to Meta-Analysis. Dr. Chris L. S. . Coryn. Kristin A. Hobson. Fall 2013. Agenda. Course overview. An overview of and brief introduction to meta-analysis. Selection of working groups. In-class activity. Objective. Understand the philosophy of meta-analysis and its contribution to epidemiology and science.. Understand the limitations of meta-analysis. Introduction. Systematic quantitative integration of results . Outline. Introduction. Two review papers. Quality control (. MetaQC. ). Meta-analysis for detecting differentially expressed genes (. MetaDE. ). Meta-analysis for detecting pathways (. MetaPath. ). 1. Introduction. Sebanti Sengupta. 11/15/2017. Background. Meta-analysis an important strategy for genetic association studies. Increases sample size and power. Can lead to discovery of novel loci. Can use previously published study results. Inês Barroso. Joint Head of Human Genetics. Metabolic Disease Group Leader. Wellcome. Trust Sanger Institute. 1. Objectives. Why perform meta-analysis?. How? . What are the issues to consider?. What can you gain?. Presented by Christine R. Wells, Ph.D.. Statistical Methods and Data Analytics. UCLA Office of Advanced Research Computing. What to expect from this workshop. Definition of systematic review and meta-analysis. emm1. invasive Group A . Streptococcus. isolated from Belgian patients during 1994˗2013 . J. Coppens. 1. , . B. B. . Xavier,. . J. Sabirova. 1. , C. Lammens. 1. , K. Loens. 2. , S. Malhotra-Kumar.