Supplementary Information

Size: px
Start display at page:

Download "Supplementary Information"

Transcription

1 A rare variant in MYH6 is associated with high risk of sick sinus syndrome Hilma Holm 1,8, Daniel F. Gudbjartsson 1,8, Patrick Sulem 1, Gisli Masson 1, Hafdis Th. Helgadottir 1, Carlo Zanon 1, Olafur Th. Magnusson 1, Agnar Helgason 1, Jona Saemundsdottir 1, Arnaldur Gylfason 1, Hrafnhildur Stefansdottir 2, Solveig Gretarsdottir 1, Stefan E. Matthiasson 3, Guðmundur Thorgeirsson 2,4, Aslaug Jonasdottir 1, Asgeir Sigurdsson 1, Hreinn Stefansson 1, Thomas Werge 5, Thorunn Rafnar 1, Lambertus A. Kiemeney 6, Babar Parvez 7, Raafia Muhammad 7, Dan M. Roden 7, Dawood Darbar 7, Gudmar Thorleifsson 1, G. Bragi Walters 1, Augustine Kong 1, Unnur Thorsteinsdottir 1,4, David O. Arnar 2,4, Kari Stefansson 1,4. 1 decode genetics, Sturlugata 8, 101 Reykjavik, Iceland, 2 Department of Medicine, Landspitali University Hospital, 101 Reykjavik, Iceland, 3 Laekning, Medical Clinics, 108 Reykjavik, Iceland, 4 University of Iceland, Faculty of Medicine, 101 Reykjavik, Iceland, 5 Research Institute of Biological Psychiatry, Mental Health Centre Sct. Hans Copenhagen University Hospital, 4000 Roskilde, Denmark, 6 Department of Epidemiology, Biostatistics and Health Technology Assessment and Department of Urology, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands, 7 Department of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee, USA. 8 These authors contributed equally to this work. Correspondence and request for materials should be addressed to H.H. (hilma.holm@decode.is) or K.S. (kstefans@decode.is). Supplementary Information 1

2 Contents: Supplementary Table 1: Supplementary Table 2: The Icelandic sick sinus syndrome study population. Strongest association results at 14q11 in the Icelandic sick sinus syndrome discovery population. Supplementary Table 3: Number of SNPs discovered by whole-genome sequencing and overlap with SNPs from the 1000 Genome project and dbsnp. Supplementary Table 4: Supplementary Table 5: Rediscovery rates of SNPs on the 300K Illumina chips. Whole-genome sequencing depth and chip genotype comparison per sample. Supplementary Table 6: Supplementary Table 7: Refinement of the sick sinus syndrome association with R721W. Replication of the association between R721W and sick sinus syndrome. Supplementary Table 8: Supplementary Figure 1: The Icelandic electrocardiogram study population. The sequencing depth of the 87 whole-genome sequenced individuals. Supplementary Figure 2: Supplementary Figure 3: Supplementary Figure 4: Total sequencing depth at the 14q11 region. Imputed allele frequency of R721W as a function of year of birth. Gene, transcript and protein structures of MYH6. 2

3 Supplementary Table 1 The Icelandic sick sinus syndrome study population. SSS Controls Men Women Men Women Discovery sample Count ,162 21,423 Year of birth (SD) (10.8) (13.1) (22.1) (21.0) Replication sample Count Year of birth (SD) (12.2) (15.6) (14.7) (15.4) SSS = sick sinus syndrome, SD = standard deviation. 3

4 Supplementary Table 2 Strongest association results at 14q11 in the Icelandic sick sinus syndrome discovery population. Source SNP P value OR MAF Directly genotyped rs Imputed from HapMap2 rs Imputed from the 1000 Genomes project Imputed from the Human1M-Duo chip rs Imputed from the HumanOmni1-Quad chip rs Imputed from the HumanOmni1-Quad chip rs Results from the sick sinus syndrome genome-wide association study. OR = odds ratio. MAF = minor allele frequency. 4

5 Supplementary Table 3 Number of SNPs discovered by whole-genome sequencing and overlap with SNPs from the 1000 Genome project and dbsnp. Source Number of SNPs Number of SNPs overlapping with decode whole-genome sequencing Fraction of SNPs that are transitions decode wholegenome sequencing 10,944, dbsnp version ,876,586 6,714, dbsnp version ,564,596 8,321, Genomes imputation set 6,858,242 6,133, Number of SNPs discovered by the decode whole-genome sequencing project and the 1000 Genomes project and archived in versions 130 and 132 of dbsnp. Also shown are the overlap between the decode whole-genome sequencing project and external sources and the fraction of SNPs from each source that are transitions (purine to purine or pyrimidine to pyrimidine mutations). 5

6 Supplementary Table 4 Rediscovery rates of SNPs on the 300K Illumina chips. Number of minor alleles observed Number of SNPs Number of SNPs not rediscovered Percentage of SNPs not rediscovered , , , , , , , , , , , , , , , , , > , The fraction of SNPs not rediscovered through sequencing as a function of how many times the minor allele of the SNP was observed in the chip genotypes. 6

7 Supplementary Table 5 Whole-genome sequencing depth and chip genotype comparison per sample. Sequencing depth Fraction of chip SNPs called Percentage of mismatching chip SNPs

8

9

10 Supplementary Table 6 Refinement of the sick sinus syndrome association with R721W. Phenotype status R721W carrier Not R721W carrier Sick sinus syndrome 40 4 Controls Among carriers of rs [t]: 91% of sick sinus syndrome carriers also carry R721W while only 38% of controls also carry R721W (P = ). 10

11 Supplementary Table 7 Replication of the association between R721W and sick sinus syndrome. N cases N ctrls Freq cases Freq ctrls OR (95% CI) P value 469 1, (3.83, 43.80) This table shows the association between R721W and sick sinus syndrome in Icelandic individuals that were genotyped for the R721W mutation with the R721W Centaurus single SNP assay but were not chip genotyped and did not overlap with the original discovery set. Frequencies are allelic frequencies. The odds ratio (OR) and P value are obtained from a logistic regression model using sex, year of birth and year of birth squared as covariates. N = number, ctrls = controls, freq = frequency. 11

12 Supplementary Table 8 The Icelandic electrocardiogram study population. Chip typed Single assay typed Men Women Men Women Count (%) 5,081 (46.6%) 5,823 (53.4%) 3,949 (48.2%) 4,250 (51.8%) Year of birth (SD) (14.9) (16.1) (15.1) (15.8) CAD (%) 2,298 (45.2%) 1,256 (21.6%) 956 (24.2%) 528 (12.4%) SD = standard deviation, CAD = coronary artery disease. 12

13 Supplementary Figure 1 The sequencing depth of the 87 whole-genome sequenced individuals. 13

14 Supplementary Figure 2 Total sequencing depth at the 14q11 region. The grey line represents the sequencing depth at each base. The red line represents the mean sequencing depth over one kilobase. The blue rectangles show the position of MYH6 and MYH7. 14

15 Supplementary Figure 3 Imputed allele frequency of R721W as a function of year of birth. The ~38,000 individuals with imputed data were grouped into ten groups of roughly equal size. 15

16 Supplementary Figure 4 Gene, transcript and protein structures of MYH6. Bottom panel: Gene structure with chromosomal coordinates at the bottom and intron numbering at the top. The gene is coded by the minus-strand of chromosome 14, hence its orientation is represented right to left. Full hight colored bars depict coding exons, half-hight bars depict non-coding exons. Middle panel: Transcript structure with basepairs 16

17 positions at the bottom and exon numbering at the top. Full hight colored bars depict coding exons, half-hight bars depict 5 and 3 UTR s. Top panel: Domain composition of the protein with amino-acid positions at the bottom and domain descriptions at the top. Grey thin lines connect the panels according to exon boundaries. The position of the SNP in exon 18 is highlighted by a red line in the trascript and a red dot in the protein. 17

18 18

Illumina s GWAS Roadmap: next-generation genotyping studies in the post-1kgp era

Illumina s GWAS Roadmap: next-generation genotyping studies in the post-1kgp era Illumina s GWAS Roadmap: next-generation genotyping studies in the post-1kgp era Anthony Green Sr. Genotyping Sales Specialist North America 2010 Illumina, Inc. All rights reserved. Illumina, illuminadx,

More information

Roadmap: genotyping studies in the post-1kgp era. Alex Helm Product Manager Genotyping Applications

Roadmap: genotyping studies in the post-1kgp era. Alex Helm Product Manager Genotyping Applications Illumina s GWAS Roadmap: next-generation genotyping studies in the post-1kgp era Alex Helm Product Manager Genotyping Applications 2010 Illumina, Inc. All rights reserved. Illumina, illuminadx, Solexa,

More information

Single Nucleotide Variant Analysis. H3ABioNet May 14, 2014

Single Nucleotide Variant Analysis. H3ABioNet May 14, 2014 Single Nucleotide Variant Analysis H3ABioNet May 14, 2014 Outline What are SNPs and SNVs? How do we identify them? How do we call them? SAMTools GATK VCF File Format Let s call variants! Single Nucleotide

More information

SNPs - GWAS - eqtls. Sebastian Schmeier

SNPs - GWAS - eqtls. Sebastian Schmeier SNPs - GWAS - eqtls s.schmeier@gmail.com http://sschmeier.github.io/bioinf-workshop/ 17.08.2015 Overview Single nucleotide polymorphism (refresh) SNPs effect on genes (refresh) Genome-wide association

More information

Lecture 2: Biology Basics Continued

Lecture 2: Biology Basics Continued Lecture 2: Biology Basics Continued Central Dogma DNA: The Code of Life The structure and the four genomic letters code for all living organisms Adenine, Guanine, Thymine, and Cytosine which pair A-T and

More information

H3A - Genome-Wide Association testing SOP

H3A - Genome-Wide Association testing SOP H3A - Genome-Wide Association testing SOP Introduction File format Strand errors Sample quality control Marker quality control Batch effects Population stratification Association testing Replication Meta

More information

Sequence variants from whole genome sequencing a large group of Icelanders

Sequence variants from whole genome sequencing a large group of Icelanders www.nature.com/scientificdata OPEN SUBJECT CATEGORIES» next-generation sequencing» genetic variation» DNA sequencing» genetic markers Received: 18 July 2014 Accepted: 04 March 2015 Published: 25 March

More information

Personal Genomics Platform White Paper Last Updated November 15, Executive Summary

Personal Genomics Platform White Paper Last Updated November 15, Executive Summary Executive Summary Helix is a personal genomics platform company with a simple but powerful mission: to empower every person to improve their life through DNA. Our platform includes saliva sample collection,

More information

PERSPECTIVES. A gene-centric approach to genome-wide association studies

PERSPECTIVES. A gene-centric approach to genome-wide association studies PERSPECTIVES O P I N I O N A gene-centric approach to genome-wide association studies Eric Jorgenson and John S. Witte Abstract Genic variants are more likely to alter gene function and affect disease

More information

Amapofhumangenomevariationfrom population-scale sequencing

Amapofhumangenomevariationfrom population-scale sequencing doi:.38/nature9534 Amapofhumangenomevariationfrom population-scale sequencing The Genomes Project Consortium* The Genomes Project aims to provide a deep characterization of human genome sequence variation

More information

DNA Collection. Data Quality Control. Whole Genome Amplification. Whole Genome Amplification. Measure DNA concentrations. Pros

DNA Collection. Data Quality Control. Whole Genome Amplification. Whole Genome Amplification. Measure DNA concentrations. Pros DNA Collection Data Quality Control Suzanne M. Leal Baylor College of Medicine sleal@bcm.edu Copyrighted S.M. Leal 2016 Blood samples For unlimited supply of DNA Transformed cell lines Buccal Swabs Small

More information

Population Genetics & Drug Discovery

Population Genetics & Drug Discovery Population Genetics & Drug Discovery examples from Finland Mark J. Daly Chief, Analytic and Translational Genetics Unit Massachusetts General Hospital Co-director, Medical and Population Genetics Broad

More information

Introduction to RNA-Seq. David Wood Winter School in Mathematics and Computational Biology July 1, 2013

Introduction to RNA-Seq. David Wood Winter School in Mathematics and Computational Biology July 1, 2013 Introduction to RNA-Seq David Wood Winter School in Mathematics and Computational Biology July 1, 2013 Abundance RNA is... Diverse Dynamic Central DNA rrna Epigenetics trna RNA mrna Time Protein Abundance

More information

Gene mutation and DNA polymorphism

Gene mutation and DNA polymorphism Gene mutation and DNA polymorphism Outline of this chapter Gene Mutation DNA Polymorphism Gene Mutation Definition Major Types Definition A gene mutation is a change in the nucleotide sequence that composes

More information

Exploring genomic databases: Practical session "

Exploring genomic databases: Practical session Exploring genomic databases: Practical session Work through the following practical exercises on your own. The objective of these exercises is to become familiar with the information available in each

More information

Hands-On Four Investigating Inherited Diseases

Hands-On Four Investigating Inherited Diseases Hands-On Four Investigating Inherited Diseases The purpose of these exercises is to introduce bioinformatics databases and tools. We investigate an important human gene and see how mutations give rise

More information

Association Mapping in Plants PLSC 731 Plant Molecular Genetics Phil McClean April, 2010

Association Mapping in Plants PLSC 731 Plant Molecular Genetics Phil McClean April, 2010 Association Mapping in Plants PLSC 731 Plant Molecular Genetics Phil McClean April, 2010 Traditional QTL approach Uses standard bi-parental mapping populations o F2 or RI These have a limited number of

More information

emerge-ii site report Vanderbilt

emerge-ii site report Vanderbilt emerge-ii site report Vanderbilt 29 June 2015 Vanderbilt activities emerge II PGx implementation locally and emerge-pgx SCN5A/KCNH2 project provider attitudes Phenotype contributions Methods development

More information

Axiom mydesign Custom Array design guide for human genotyping applications

Axiom mydesign Custom Array design guide for human genotyping applications TECHNICAL NOTE Axiom mydesign Custom Genotyping Arrays Axiom mydesign Custom Array design guide for human genotyping applications Overview In the past, custom genotyping arrays were expensive, required

More information

S G. Design and Analysis of Genetic Association Studies. ection. tatistical. enetics

S G. Design and Analysis of Genetic Association Studies. ection. tatistical. enetics S G ection ON tatistical enetics Design and Analysis of Genetic Association Studies Hemant K Tiwari, Ph.D. Professor & Head Section on Statistical Genetics Department of Biostatistics School of Public

More information

resequencing storage SNP ncrna metagenomics private trio de novo exome ncrna RNA DNA bioinformatics RNA-seq comparative genomics

resequencing storage SNP ncrna metagenomics private trio de novo exome ncrna RNA DNA bioinformatics RNA-seq comparative genomics RNA Sequencing T TM variation genetics validation SNP ncrna metagenomics private trio de novo exome mendelian ChIP-seq RNA DNA bioinformatics custom target high-throughput resequencing storage ncrna comparative

More information

Genetic Variation and Genome- Wide Association Studies. Keyan Salari, MD/PhD Candidate Department of Genetics

Genetic Variation and Genome- Wide Association Studies. Keyan Salari, MD/PhD Candidate Department of Genetics Genetic Variation and Genome- Wide Association Studies Keyan Salari, MD/PhD Candidate Department of Genetics How many of you did the readings before class? A. Yes, of course! B. Started, but didn t get

More information

Mutation entries in SMA databases Guidelines for national curators

Mutation entries in SMA databases Guidelines for national curators 1 Mutation entries in SMA databases Guidelines for national curators GENERAL CONSIDERATIONS Role of the curator(s) of a national database Molecular data can be collected by many different ways. There are

More information

Unit 6: DNA and Protein Synthesis Guided Notes

Unit 6: DNA and Protein Synthesis Guided Notes Unit 6: DNA and Protein Synthesis Guided Notes 1 DNA Nucleic Acid review: Nucleic Acids are made of nucleotides. There are two types of nucleotides have 2 rings. They are and They look like: have 1 ring.

More information

Biotechnology Explorer

Biotechnology Explorer Biotechnology Explorer C. elegans Behavior Kit Bioinformatics Supplement explorer.bio-rad.com Catalog #166-5120EDU This kit contains temperature-sensitive reagents. Open immediately and see individual

More information

Fundamentals of Genetics. 4. Name the 7 characteristics, giving both dominant and recessive forms of the pea plants, in Mendel s experiments.

Fundamentals of Genetics. 4. Name the 7 characteristics, giving both dominant and recessive forms of the pea plants, in Mendel s experiments. Fundamentals of Genetics 1. What scientist is responsible for our study of heredity? 2. Define heredity. 3. What plant did Mendel use for his hereditary experiments? 4. Name the 7 characteristics, giving

More information

An introduction to genetics and molecular biology

An introduction to genetics and molecular biology An introduction to genetics and molecular biology Cavan Reilly September 5, 2017 Table of contents Introduction to biology Some molecular biology Gene expression Mendelian genetics Some more molecular

More information

Whole genome sequencing in drug discovery research: a one fits all solution?

Whole genome sequencing in drug discovery research: a one fits all solution? Whole genome sequencing in drug discovery research: a one fits all solution? Marc Sultan, September 24th, 2015 Biomarker Development, Translational Medicine, Novartis On behalf of the BMD WGS pilot team:

More information

GENETICS. I. Review of DNA/RNA A. Basic Structure DNA 3 parts that make up a nucleotide chains wrap around each other to form a

GENETICS. I. Review of DNA/RNA A. Basic Structure DNA 3 parts that make up a nucleotide chains wrap around each other to form a GENETICS I. Review of DNA/RNA A. Basic Structure DNA 3 parts that make up a nucleotide 1. 2. 3. chains wrap around each other to form a Chains run in opposite direction known as Type of bond between the

More information

Gene-Environment Interactions In Complex Human Diseases

Gene-Environment Interactions In Complex Human Diseases Gene-Environment Interactions In Complex Human Diseases Xiaobin Wang, MD, MPH, ScD Director and The Mary Ann & J. Milburn Smith Research Professor The Mary Ann & J. Milburn Smith Child Health Research

More information

Quality Control Report for Exome Chip Data University of Michigan April, 2015

Quality Control Report for Exome Chip Data University of Michigan April, 2015 Quality Control Report for Exome Chip Data University of Michigan April, 2015 Project: Health and Retirement Study Support: U01AG009740 NIH Institute: NIA 1. Summary and recommendations for users A total

More information

Targeted resequencing

Targeted resequencing Targeted resequencing Sarah Calvo, Ph.D. Computational Biologist Vamsi Mootha laboratory Snapshots of Genome Wide Analysis in Human Disease (MPG), 4/20/2010 Vamsi Mootha, PI How can I assess a small genomic

More information

USER MANUAL for the use of the human Genome Clinical Annotation Tool (h-gcat) uthors: Klaas J. Wierenga, MD & Zhijie Jiang, P PhD

USER MANUAL for the use of the human Genome Clinical Annotation Tool (h-gcat) uthors: Klaas J. Wierenga, MD & Zhijie Jiang, P PhD USER MANUAL for the use of the human Genome Clinical Annotation Tool (h-gcat)) Authors: Klaas J. Wierenga, MD & Zhijie Jiang, PhD First edition, May 2013 0 Introduction The Human Genome Clinical Annotation

More information

Terminology: chromosome; gene; allele; proteins; enzymes

Terminology: chromosome; gene; allele; proteins; enzymes Title Workshop on genetic disease and gene therapy Authors Danielle Higham (BSc Genetics), Dr. Maggy Fostier Contact Maggy.fostier@manchester.ac.uk Target level KS4 science, GCSE (or A-level) Publication

More information

Autozygosity by difference a method for locating autosomal recessive mutations. Geoff Pollott

Autozygosity by difference a method for locating autosomal recessive mutations. Geoff Pollott Autozygosity by difference a method for locating autosomal recessive mutations Geoff Pollott Background Mutations occur regularly in all species Autosomal recessive conditions arise in most breeds from

More information

DNA RNA PROTEIN SYNTHESIS -NOTES-

DNA RNA PROTEIN SYNTHESIS -NOTES- DNA RNA PROTEIN SYNTHESIS -NOTES- THE COMPONENTS AND STRUCTURE OF DNA DNA is made up of units called nucleotides. Nucleotides are made up of three basic components:, called deoxyribose in DNA In DNA, there

More information

Overview of Human Genetics

Overview of Human Genetics Overview of Human Genetics 1 Structure and function of nucleic acids. 2 Structure and composition of the human genome. 3 Mendelian genetics. Lander et al. (Nature, 2001) MAT 394 (ASU) Human Genetics Spring

More information

Identification of Single Nucleotide Polymorphisms and associated Disease Genes using NCBI resources

Identification of Single Nucleotide Polymorphisms and associated Disease Genes using NCBI resources Identification of Single Nucleotide Polymorphisms and associated Disease Genes using NCBI resources Navreet Kaur M.Tech Student Department of Computer Engineering. University College of Engineering, Punjabi

More information

BTRY 7210: Topics in Quantitative Genomics and Genetics

BTRY 7210: Topics in Quantitative Genomics and Genetics BTRY 7210: Topics in Quantitative Genomics and Genetics Jason Mezey Biological Statistics and Computational Biology (BSCB) Department of Genetic Medicine jgm45@cornell.edu January 29, 2015 Why you re here

More information

Author's response to reviews

Author's response to reviews Author's response to reviews Title: A pooling-based genome-wide analysis identifies new potential candidate genes for atopy in the European Community Respiratory Health Survey (ECRHS) Authors: Francesc

More information

Runs of Homozygosity Analysis Tutorial

Runs of Homozygosity Analysis Tutorial Runs of Homozygosity Analysis Tutorial Release 8.7.0 Golden Helix, Inc. March 22, 2017 Contents 1. Overview of the Project 2 2. Identify Runs of Homozygosity 6 Illustrative Example...............................................

More information

Chapter 8 From DNA to Proteins. Chapter 8 From DNA to Proteins

Chapter 8 From DNA to Proteins. Chapter 8 From DNA to Proteins KEY CONCEPT Section 1 DNA was identified as the genetic material through a series of experiments. Griffith finds a transforming principle. Griffith experimented with the bacteria that cause pneumonia.

More information

RareVariantVis 2: R suite for analysis of rare variants in whole genome sequencing data.

RareVariantVis 2: R suite for analysis of rare variants in whole genome sequencing data. RareVariantVis 2: R suite for analysis of rare variants in whole genome sequencing data. Adam Gudyś and Tomasz Stokowy October 30, 2017 Introduction The search for causative genetic variants in rare diseases

More information

Nature Genetics: doi: /ng Supplementary Figure 1

Nature Genetics: doi: /ng Supplementary Figure 1 Supplementary Figure 1 Processing of mutations and generation of simulated controls. On the left, a diagram illustrates the manner in which covariate-matched simulated mutations were obtained, filtered

More information

Study Guide for Chapter 12 Exam DNA, RNA, & Protein Synthesis

Study Guide for Chapter 12 Exam DNA, RNA, & Protein Synthesis Name: Date: Period: Study Guide for Chapter 12 Exam DNA, RNA, & Protein Synthesis ***Completing this study guide in its entirety will result in extra credit on the exam. You must show me the DAY OF the

More information

Genome-wide association studies (GWAS) Part 1

Genome-wide association studies (GWAS) Part 1 Genome-wide association studies (GWAS) Part 1 Matti Pirinen FIMM, University of Helsinki 03.12.2013, Kumpula Campus FIMM - Institiute for Molecular Medicine Finland www.fimm.fi Published Genome-Wide Associations

More information

5/18/2017. Genotypic, phenotypic or allelic frequencies each sum to 1. Changes in allele frequencies determine gene pool composition over generations

5/18/2017. Genotypic, phenotypic or allelic frequencies each sum to 1. Changes in allele frequencies determine gene pool composition over generations Topics How to track evolution allele frequencies Hardy Weinberg principle applications Requirements for genetic equilibrium Types of natural selection Population genetic polymorphism in populations, pp.

More information

Cancer Genetics Solutions

Cancer Genetics Solutions Cancer Genetics Solutions Cancer Genetics Solutions Pushing the Boundaries in Cancer Genetics Cancer is a formidable foe that presents significant challenges. The complexity of this disease can be daunting

More information

BCHM 6280 Tutorial: Gene specific information using NCBI, Ensembl and genome viewers

BCHM 6280 Tutorial: Gene specific information using NCBI, Ensembl and genome viewers BCHM 6280 Tutorial: Gene specific information using NCBI, Ensembl and genome viewers Web resources: NCBI database: http://www.ncbi.nlm.nih.gov/ Ensembl database: http://useast.ensembl.org/index.html UCSC

More information

Sequence Variations. Baxevanis and Ouellette, Chapter 7 - Sequence Polymorphisms. NCBI SNP Primer:

Sequence Variations. Baxevanis and Ouellette, Chapter 7 - Sequence Polymorphisms. NCBI SNP Primer: Sequence Variations Baxevanis and Ouellette, Chapter 7 - Sequence Polymorphisms NCBI SNP Primer: http://www.ncbi.nlm.nih.gov/about/primer/snps.html Overview Mutation and Alleles Linkage Genetic variation

More information

mrna for protein translation

mrna for protein translation Biology 1B Evolution Lecture 5 (March 5, 2010), Genetic Drift and Migration Mutation What is mutation? Changes in the coding sequence Changes in gene regulation, or how the genes are expressed as amino

More information

Introduction to Bioinformatics

Introduction to Bioinformatics Introduction to Bioinformatics Richard Corbett Canada s Michael Smith Genome Sciences Centre Vancouver, British Columbia June 28, 2017 Our mandate is to advance knowledge about cancer and other diseases

More information

AP Biology Review Chapters Review Questions Chapter 11: Mendelian Patterns of Inheritance Chapter 12: Molecular Biology of the Gene

AP Biology Review Chapters Review Questions Chapter 11: Mendelian Patterns of Inheritance Chapter 12: Molecular Biology of the Gene AP Biology Review Chapters 11-12 Review Questions Chapter 11: Mendelian Patterns of Inheritance a) Know genotypes and phenotypes of a monohybrid cross in the P, F1, and F2 generations. Be familiar with

More information

The human noncoding genome defined by genetic diversity

The human noncoding genome defined by genetic diversity SUPPLEMENTARY INFORMATION Letters https://doi.org/10.1038/s41588-018-0062-7 In the format provided by the authors and unedited. The human noncoding genome defined by genetic diversity Julia di Iulio 1,5,

More information

Adv Biology: DNA and RNA Study Guide

Adv Biology: DNA and RNA Study Guide Adv Biology: DNA and RNA Study Guide Chapter 12 Vocabulary -Notes What experiments led up to the discovery of DNA being the hereditary material? o The discovery that DNA is the genetic code involved many

More information

Chapter 12 Packet DNA 1. What did Griffith conclude from his experiment? 2. Describe the process of transformation.

Chapter 12 Packet DNA 1. What did Griffith conclude from his experiment? 2. Describe the process of transformation. Chapter 12 Packet DNA and RNA Name Period California State Standards covered by this chapter: Cell Biology 1. The fundamental life processes of plants and animals depend on a variety of chemical reactions

More information

You use the UCSC Genome Browser (www.genome.ucsc.edu) to assess the exonintron structure of each gene. You use four tracks to show each gene:

You use the UCSC Genome Browser (www.genome.ucsc.edu) to assess the exonintron structure of each gene. You use four tracks to show each gene: CRISPR-Cas9 genome editing Part 1: You would like to rapidly generate two different knockout mice using CRISPR-Cas9. The genes to be knocked out are Pcsk9 and Apoc3, both involved in lipid metabolism.

More information

RNA-Sequencing analysis

RNA-Sequencing analysis RNA-Sequencing analysis Markus Kreuz 25. 04. 2012 Institut für Medizinische Informatik, Statistik und Epidemiologie Content: Biological background Overview transcriptomics RNA-Seq RNA-Seq technology Challenges

More information

This is a closed book, closed note exam. No calculators, phones or any electronic device are allowed.

This is a closed book, closed note exam. No calculators, phones or any electronic device are allowed. MCB 104 MIDTERM #2 October 23, 2013 ***IMPORTANT REMINDERS*** Print your name and ID# on every page of the exam. You will lose 0.5 point/page if you forget to do this. Name KEY If you need more space than

More information

Supplementary Methods

Supplementary Methods Supplementary Methods Study participants We collected bone marrow and blood from patients with various myeloid malignancies after obtaining informed consent; this study abided by the principles laid out

More information

Petar Pajic 1 *, Yen Lung Lin 1 *, Duo Xu 1, Omer Gokcumen 1 Department of Biological Sciences, University at Buffalo, Buffalo, NY.

Petar Pajic 1 *, Yen Lung Lin 1 *, Duo Xu 1, Omer Gokcumen 1 Department of Biological Sciences, University at Buffalo, Buffalo, NY. The psoriasis associated deletion of late cornified envelope genes LCE3B and LCE3C has been maintained under balancing selection since Human Denisovan divergence Petar Pajic 1 *, Yen Lung Lin 1 *, Duo

More information

MODULE 1: INTRODUCTION TO THE GENOME BROWSER: WHAT IS A GENE?

MODULE 1: INTRODUCTION TO THE GENOME BROWSER: WHAT IS A GENE? MODULE 1: INTRODUCTION TO THE GENOME BROWSER: WHAT IS A GENE? Lesson Plan: Title Introduction to the Genome Browser: what is a gene? JOYCE STAMM Objectives Demonstrate basic skills in using the UCSC Genome

More information

Variant calling in NGS experiments

Variant calling in NGS experiments Variant calling in NGS experiments Jorge Jiménez jjimeneza@cipf.es BIER CIBERER Genomics Department Centro de Investigacion Principe Felipe (CIPF) (Valencia, Spain) 1 Index 1. NGS workflow 2. Variant calling

More information

Genetics and Genomics in Clinical Research

Genetics and Genomics in Clinical Research Genetics and Genomics in Clinical Research An Immersion Course for Clinical Investigators at UAB Introduction and Overview Bruce R. Korf, MD, PhD Goals Describe approaches to study of the genomic contributions

More information

Nutrigenomics and nutrigenetics are they the keys for healthy nutrition?

Nutrigenomics and nutrigenetics are they the keys for healthy nutrition? Nutrigenomics and nutrigenetics are they the keys for healthy nutrition? Maria Koziołkiewicz Faculty of Biotechnology and Food Sciences, Technical University of Lodz, Lodz, Poland Basic definitions Nutrigenomics

More information

Genes and human health - the science and ethics

Genes and human health - the science and ethics Deoxyribonucleic acid (DNA) - why is it so important? Genes and human health - the science and ethics DNA is essential to all living organisms, from bacteria to man, as it contains a code which specifies

More information

Statistical challenges to genome-wide association study

Statistical challenges to genome-wide association study 1 Statistical challenges to genome-wide association study Naoyuki Kamatani, M.D., Ph.D. 1. Director and Professor, Institute of Rheumatology, Tokyo Women s Medical University 2. Director, Medical Informatics

More information

Basic Concepts of Human Genetics

Basic Concepts of Human Genetics Basic Concepts of Human Genetics The genetic information of an individual is contained in 23 pairs of chromosomes. Every human cell contains the 23 pair of chromosomes. One pair is called sex chromosomes

More information

Using the Association Workflow in Partek Genomics Suite

Using the Association Workflow in Partek Genomics Suite Using the Association Workflow in Partek Genomics Suite This user guide will illustrate the use of the Association workflow in Partek Genomics Suite (PGS) and discuss the basic functions available within

More information

Evolution. Population Genetics. Targets: Alleles and Genes 3/30/2014

Evolution. Population Genetics. Targets: Alleles and Genes 3/30/2014 Targets: Alleles and Genes Evolution Population Genetics 1. I can explain how genetic variation in a species increases chances for survival 2. I can write an example of how lethal alleles are stored in

More information

NON MENDELIAN GENETICS. DNA, PROTEIN SYNTHESIS, MUTATIONS DUE DECEMBER 8TH

NON MENDELIAN GENETICS. DNA, PROTEIN SYNTHESIS, MUTATIONS DUE DECEMBER 8TH NON MENDELIAN GENETICS. DNA, PROTEIN SYNTHESIS, MUTATIONS DUE DECEMBER 8TH MONDAY TUESDAY WEDNESDAY THURSDAY FRIDAY 11/14 11/15 11/16 11/17 11/18 Non-Mendelian Genetics DNA Structure and Replication 11/28

More information

The Genetic Code and Transcription. Chapter 12 Honors Genetics Ms. Susan Chabot

The Genetic Code and Transcription. Chapter 12 Honors Genetics Ms. Susan Chabot The Genetic Code and Transcription Chapter 12 Honors Genetics Ms. Susan Chabot TRANSCRIPTION Copy SAME language DNA to RNA Nucleic Acid to Nucleic Acid TRANSLATION Copy DIFFERENT language RNA to Amino

More information

Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies

Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies p. 1/20 Simultaneous analysis of all SNPs in genome-wide and re-sequencing association studies David J. Balding Centre

More information

Human genetic variation

Human genetic variation Human genetic variation CHEW Fook Tim Human Genetic Variation Variants contribute to rare and common diseases Variants can be used to trace human origins Human Genetic Variation What types of variants

More information

Analytics Behind Genomic Testing

Analytics Behind Genomic Testing A Quick Guide to the Analytics Behind Genomic Testing Elaine Gee, PhD Director, Bioinformatics ARUP Laboratories 1 Learning Objectives Catalogue various types of bioinformatics analyses that support clinical

More information

CS273B: Deep Learning in Genomics and Biomedicine. Recitation 1 30/9/2016

CS273B: Deep Learning in Genomics and Biomedicine. Recitation 1 30/9/2016 CS273B: Deep Learning in Genomics and Biomedicine. Recitation 1 30/9/2016 Topics Genetic variation Population structure Linkage disequilibrium Natural disease variants Genome Wide Association Studies Gene

More information

What is DNA??? DNA = Deoxyribonucleic acid IT is a molecule that contains the code for an organism s growth and function

What is DNA??? DNA = Deoxyribonucleic acid IT is a molecule that contains the code for an organism s growth and function Review DNA and RNA 1) DNA and RNA are important organic compounds found in cells, called nucleic acids 2) Both DNA and RNA molecules contain the following chemical elements: carbon, hydrogen, oxygen, nitrogen

More information

MAJOR ADVANCES IN GENETICS

MAJOR ADVANCES IN GENETICS MAJOR ADVANCES IN GENETICS This document is licensed under the Attribution-NonCommercial-ShareAlike 2.5 Italy license, available at http://creativecommons.org/licenses/by-nc-sa/2.5/it/ 1. The laws of inheritance

More information

TTT: 7 WT: Text book by N.C.E.R.T. 2. Reference book by Dinesh Publications.

TTT: 7 WT: Text book by N.C.E.R.T. 2. Reference book by Dinesh Publications. BLOOM PUBLIC SCHOOL Vasant Kunj, New Delhi Lesson Plan Class : XII Subject: Biology Month : May Chapter : 5 Principles of Inheritance and Variation No. of Periods:15 TTT: 7 WT: 8 Chapter : 5 Chapter :

More information

Genetics and Psychiatric Disorders Lecture 1: Introduction

Genetics and Psychiatric Disorders Lecture 1: Introduction Genetics and Psychiatric Disorders Lecture 1: Introduction Amanda J. Myers LABORATORY OF FUNCTIONAL NEUROGENOMICS All slides available @: http://labs.med.miami.edu/myers Click on courses First two links

More information

Multiple choice questions (numbers in brackets indicate the number of correct answers)

Multiple choice questions (numbers in brackets indicate the number of correct answers) 1 Multiple choice questions (numbers in brackets indicate the number of correct answers) February 1, 2013 1. Ribose is found in Nucleic acids Proteins Lipids RNA DNA (2) 2. Most RNA in cells is transfer

More information

DNA Structure & the Genome. Bio160 General Biology

DNA Structure & the Genome. Bio160 General Biology DNA Structure & the Genome Bio160 General Biology Lecture Outline I. DNA A nucleic acid II. Chromosome Structure III. Chromosomes and Genes IV. DNA vs. RNA I. DNA A Nucleic Acid Structure of DNA: Remember:

More information

Nucleic acids. What important polymer is located in the nucleus? is the instructions for making a cell's.

Nucleic acids. What important polymer is located in the nucleus? is the instructions for making a cell's. Nucleic acids DNA - The Double Helix Recall that the nucleus is a small spherical, dense body in a cell. It is often called the "control center" because it controls all the activities of the cell including

More information

Genotyping requirements for complex disease studies

Genotyping requirements for complex disease studies Genotyping requirements for complex disease studies Grant Montgomery Molecular Epidemiology, Queensland Institute of Medical Research, Australia Queensland Institute of Medical Research Outline Background

More information

Introduction to Genome Wide Association Studies 2014 Sydney Brenner Institute for Molecular Bioscience/Wits Bioinformatics Shaun Aron

Introduction to Genome Wide Association Studies 2014 Sydney Brenner Institute for Molecular Bioscience/Wits Bioinformatics Shaun Aron Introduction to Genome Wide Association Studies 2014 Sydney Brenner Institute for Molecular Bioscience/Wits Bioinformatics Shaun Aron Genotype calling Genotyping methods for Affymetrix arrays Genotyping

More information

DNA Structure and Analysis. Chapter 4: Background

DNA Structure and Analysis. Chapter 4: Background DNA Structure and Analysis Chapter 4: Background Molecular Biology Three main disciplines of biotechnology Biochemistry Genetics Molecular Biology # Biotechnology: A Laboratory Skills Course explorer.bio-rad.com

More information

Structural variation. Marta Puig Institut de Biotecnologia i Biomedicina Universitat Autònoma de Barcelona

Structural variation. Marta Puig Institut de Biotecnologia i Biomedicina Universitat Autònoma de Barcelona Structural variation Marta Puig Institut de Biotecnologia i Biomedicina Universitat Autònoma de Barcelona Genetic variation How much genetic variation is there between individuals? What type of variants

More information

The Lexicon The rare simple: Monogenic Mendelian HTN The common complicated: Polygenic multi-factorial HTN

The Lexicon The rare simple: Monogenic Mendelian HTN The common complicated: Polygenic multi-factorial HTN Hussien H. Rizk, MD The Lexicon The rare simple: Monogenic Mendelian HTN The common complicated: Polygenic multi-factorial HTN Codons Exon Intron Exon Intron Exon silent Exon Transcriptomics Transcription

More information

Genetic association studies

Genetic association studies Genetic association studies Cavan Reilly September 20, 2013 Table of contents HIV genetics Data examples FAMuSSS data HGDP data Virco data Human genetics In practice this implies that the difference between

More information

The Agilent Technologies SureSelect Platform for Target Enrichment

The Agilent Technologies SureSelect Platform for Target Enrichment The Agilent Technologies SureSelect Platform for Target Enrichment Focus your next-gen sequencing on DNA that matters Kimberly Troutman Field Applications Scientist January 27 th, 2011 Agenda 1 Introduction:

More information

Lecture #1. Introduction to microarray technology

Lecture #1. Introduction to microarray technology Lecture #1 Introduction to microarray technology Outline General purpose Microarray assay concept Basic microarray experimental process cdna/two channel arrays Oligonucleotide arrays Exon arrays Comparing

More information

BST227 Introduction to Statistical Genetics

BST227 Introduction to Statistical Genetics Introduction to Statistical Genetics BIO 227 Lecture 1 Introduction and Overview of Genetic http BST227 Introduction to Statistical Genetics Lecture 1: Introduction and Overview of Genetic Disease http://aryeelab.org/bst227

More information

DNA DNA Profiling 18. Discuss the stages involved in DNA profiling 19. Define the process of DNA profiling 20. Give two uses of DNA profiling

DNA DNA Profiling 18. Discuss the stages involved in DNA profiling 19. Define the process of DNA profiling 20. Give two uses of DNA profiling Name: 2.5 Genetics Objectives At the end of this sub section students should be able to: 2.5.1 Heredity and Variation 1. Discuss the diversity of organisms 2. Define the term species 3. Distinguish between

More information

Nature Biotechnology: doi: /nbt Supplementary Figure 1. Number and length distributions of the inferred fosmids.

Nature Biotechnology: doi: /nbt Supplementary Figure 1. Number and length distributions of the inferred fosmids. Supplementary Figure 1 Number and length distributions of the inferred fosmids. Fosmid were inferred by mapping each pool s sequence reads to hg19. We retained only those reads that mapped to within a

More information

Target Enrichment Strategies for Next Generation Sequencing

Target Enrichment Strategies for Next Generation Sequencing Target Enrichment Strategies for Next Generation Sequencing Anuj Gupta, PhD Agilent Technologies, New Delhi Genotypic Conference, Sept 2014 NGS Timeline Information burst Nearly 30,000 human genomes sequenced

More information

GENETICS AND MENDEL 2/20/2013. Mendel s Experiment. Genetic Terms. How is each group the same? How is each group different?

GENETICS AND MENDEL 2/20/2013. Mendel s Experiment. Genetic Terms. How is each group the same? How is each group different? GENETICS AND MENDEL How is each group the same? How is each group different? Heredity transmission of traits from parents to offspring Genetics study of heredity HISTORY OF DISCOVERERY OF HEREDITY Up to

More information

Package FSTpackage. June 27, 2017

Package FSTpackage. June 27, 2017 Type Package Package FSTpackage June 27, 2017 Title Unified Sequence-Based Association Tests Allowing for Multiple Functional Annotation Scores Version 0.1 Date 2016-12-14 Author Zihuai He Maintainer Zihuai

More information

Annotating 7G24-63 Justin Richner May 4, Figure 1: Map of my sequence

Annotating 7G24-63 Justin Richner May 4, Figure 1: Map of my sequence Annotating 7G24-63 Justin Richner May 4, 2005 Zfh2 exons Thd1 exons Pur-alpha exons 0 40 kb 8 = 1 kb = LINE, Penelope = DNA/Transib, Transib1 = DINE = Novel Repeat = LTR/PAO, Diver2 I = LTR/Gypsy, Invader

More information