Polymorphisms – SNP, InDel, Transposon BMI/IBGP 730 Victor Jin, Ph.D. (Slides from Dr. Kun Huang) Department of Biomedical Informatics Ohio State University.

Slides:



Advertisements
Similar presentations
applications of genome sequencing projects
Advertisements

What is an association study? Define linkage disequilibrium
Single Nucleotide Polymorphism And Association Studies Stat 115 Dec 12, 2006.
Julia Krushkal 4/11/2017 The International HapMap Project: A Rich Resource of Genetic Information Julia Krushkal Lecture in Bioinformatics 04/15/2010.
Genetic research designs in the real world Vishwajit L Nimgaonkar MD, PhD University of Pittsburgh
SNP Applications statwww.epfl.ch/davison/teaching/Microarrays/snp.ppt.
Genome-wide Association Study Focus on association between SNPs and traits Tendency – Larger and larger sample size – Use of more narrowly defined phenotypes(blood.
Understanding GWAS Chip Design – Linkage Disequilibrium and HapMap Peter Castaldi January 29, 2013.
Fatchiyah, PhD Dept Biology UB Fatchiyah.lecture.ub.ac.id
CS177 Lecture 9 SNPs and Human Genetic Variation Tom Madej
Dr. Almut Nebel Dept. of Human Genetics University of the Witwatersrand Johannesburg South Africa Significance of SNPs for human disease.
Predicting the Function of Single Nucleotide Polymorphisms Corey Harada Advisor: Eleazar Eskin.
Biology and Bioinformatics Gabor T. Marth Department of Biology, Boston College BI820 – Seminar in Quantitative and Computational Problems.
Computational Tools for Finding and Interpreting Genetic Variations Gabor T. Marth Department of Biology, Boston College
SNP database 張學偉 助理教授 高雄醫學大學 生物醫學暨環境生物學系. SNP = Single Nucleotide Polymorphism (read in SNiP)
Something related to genetics? Dr. Lars Eijssen. Bioinformatics to understand studies in genomics – São Paulo – June Image:
Human Genomic Variation The Story of SNPs. Single Nucleotide Polymorphisms (SNPs)  In addition to variation in microsatellites (VNTRs), genetic variation.
Haplotype Discovery and Modeling. Identification of genes Identify the Phenotype MapClone.
Computational Molecular Biology Biochem 218 – BioMedical Informatics Simple Nucleotide.
Department of Biomedical Informatics Bioinformatics and Genetics Kun Huang Department of Biomedical Informatics OSUCCC Biomedical Informatics Shared Resource.
Introduction Basic Genetic Mechanisms Eukaryotic Gene Regulation The Human Genome Project Test 1 Genome I - Genes Genome II – Repetitive DNA Genome III.
Dr Katie Snape Specialist Registrar in Genetics St Georges Hospital
Georgia Wiesner, MD CREC June 20, GATACAATGCATCATATG TATCAGATGCAATATATC ATTGTATCATGTATCATG TATCATGTATCATGTATC ATGTATCATGTCTCCAGA TGCTATGGATCTTATGTA.
Modes of selection on quantitative traits. Directional selection The population responds to selection when the mean value changes in one direction Here,
Epigenome 1. 2 Background: GWAS Genome-Wide Association Studies 3.
Problem Set I review BIOL221T: Advanced Bioinformatics for Biotechnology Irene Gabashvili, PhD.
Haplotype Blocks An Overview A. Polanski Department of Statistics Rice University.
The medical relevance of genome variability Gabor T. Marth, D.Sc. Department of Biology, Boston College
Computational research for medical discovery at Boston College Biology Gabor T. Marth Boston College Department of Biology
Doug Brutlag 2011 Genomics & Medicine Doug Brutlag Professor Emeritus of Biochemistry &
SNPs Daniel Fernandez Alejandro Quiroz Zárate. A SNP is defined as a single base change in a DNA sequence that occurs in a significant proportion (more.
National Taiwan University Department of Computer Science and Information Engineering Haplotype Inference Yao-Ting Huang Kun-Mao Chao.
The medical relevance of genome variability Gabor T. Marth, D.Sc. Department of Biology, Boston College Medical Genomics Course – Debrecen,
Biology 101 DNA: elegant simplicity A molecule consisting of two strands that wrap around each other to form a “twisted ladder” shape, with the.
Microarrays and Their Uses Brad Windle, Ph.D
CS177 Lecture 10 SNPs and Human Genetic Variation
SNP Haplotypes as Diagnostic Markers Shrish Tiwari CCMB, Hyderabad.
National Taiwan University Department of Computer Science and Information Engineering Pattern Identification in a Haplotype Block * Kun-Mao Chao Department.
Quantitative Genetics
Finnish Genome Center Monday, 16 November Genotyping & Haplotyping.
Copy Number Variation Eleanor Feingold University of Pittsburgh March 2012.
Genes in human populations n Population genetics: focus on allele frequencies (the “gene pool” = all the gametes in a big pot!) n Hardy-Weinberg calculations.
Julia N. Chapman, Alia Kamal, Archith Ramkumar, Owen L. Astrachan Duke University, Genome Revolution Focus, Department of Computer Science Sources
Chapter 5 The Content of the Genome 5.1 Introduction genome – The complete set of sequences in the genetic material of an organism. –It includes the.
Lecture 6. Functional Genomics: DNA microarrays and re-sequencing individual genomes by hybridization.
MEME homework: probability of finding GAGTCA at a given position in the yeast genome, based on a background model of A = 0.3, T = 0.3, G = 0.2, C = 0.2.
Linear Reduction Method for Tag SNPs Selection Jingwu He Alex Zelikovsky.
The International Consortium. The International HapMap Project.
In The Name of GOD Genetic Polymorphism M.Dianatpour MLD,PHD.
Motivations to study human genetic variation
Simple-Sequence Length Polymorphisms SSLPs Short tandemly repeated DNA sequences that are present in variable copy numbers at a given locus. Scattered.
Linkage Disequilibrium and Recent Studies of Haplotypes and SNPs
Computational Biology and Genomics at Boston College Biology Gabor T. Marth Department of Biology, Boston College
Analyzing DNA using Microarray and Next Generation Sequencing (1) Background SNP Array Basic design Applications: CNV, LOH, GWAS Deep sequencing Alignment.
Notes: Human Genome (Right side page)
Different microarray applications Rita Holdhus Introduction to microarrays September 2010 microarray.no Aim of lecture: To get some basic knowledge about.
The Haplotype Blocks Problems Wu Ling-Yun
Simple-Sequence Length Polymorphisms
Common variation, GWAS & PLINK
Complex disease and long-range regulation: Interpreting the GWAS using a Dual Colour Transgenesis Strategy in Zebrafish.
Global Variation in Copy Number in the Human Genome
Introduction to bioinformatics lecture 11 SNP by Ms.Shumaila Azam
Linking Genetic Variation to Important Phenotypes
By Michael Fraczek and Caden Boyer
Haplotype Inference Yao-Ting Huang Kun-Mao Chao.
Haplotype Inference Yao-Ting Huang Kun-Mao Chao.
Medical genomics BI420 Department of Biology, Boston College
Medical genomics BI420 Department of Biology, Boston College
SNPs and CNPs By: David Wendel.
Haplotype Inference Yao-Ting Huang Kun-Mao Chao.
Presentation transcript:

Polymorphisms – SNP, InDel, Transposon BMI/IBGP 730 Victor Jin, Ph.D. (Slides from Dr. Kun Huang) Department of Biomedical Informatics Ohio State University

The value of sequenced genome lies in the annotation. Gene discovery Polymorphism TSS CpG region ncRNA TF binding sites Annotation projects: HAVANA (Sanger Inst.) ENCODE CCDS

Polymorphisms Single Nucleotide Polymorphism (SNP) SNP projects SNP array Sequencing Other Polymorphisms Copy Number / LOH Database Search

Polymorphisms get lots of press

Genetic Variations Mutation Allele SNP In-Del Transposon Aneuploidy …

Polymorphisms Single Nucleotide Polymorphism (SNP) SNP projects SNP array Sequencing Other Polymorphisms Copy Number / LOH Database Search

Single Nucleotide Polymorphism At least 1% of a population has a different nucleotide There are many other classes of variants and these are no less important (e.g., deletions and duplications), SNP are simply the most abundant. First SNPs - RFLPs – D. Botstein The single nucleotide polymorphism (SNP) [pronounced "snip"] is the most common form of genetic variation. As the name suggests, each SNP is a difference in a single nucleotide (A,T,C,or G) of an individual's DNA sequence, such as having AAGG instead of ATGG. There may be from 1 to 10 million SNPs in the entire human genome, but perhaps only a few thousand relate to disease outcomes. The numbers seem to change with every news report.

Questions: How are SNP useful to biomedical sciences? How can bioinformatics help us use SNP?

Critical SNP concepts Marker SNP vs. Functional SNP SNPs highlights the spots for search (features, region of interest). SNP patterns from a target population can be compared with SNP patterns from unaffected populations to find genetic variations shared only by the affected group. The most useful SNPs are known as "functional SNPs." A single functional SNP or certain combinations of functional SNPs may help explain variability in individual responses to a given drug or pinpoint the subtle genetic differences that predispose some to diseases such as arthritis, Alzheimer's, cancer, diabetes, and depression.

Critical SNP concepts Understand evolution DNA fingerprinting – forensic applications Markers for polygenetic traits Genotype-specific medicine (personalized medicine)

Critical SNP concepts 1. Humans are diploid and exhibit significant heterogeneity and heterozygosity 3. DNA is essentially identical in every cell 4. The closer two SNP are the less likely they are to have segregated in a population (linkage disequilibrium) 5. Multiple variants/alleles can be combined into haplotypes (polygenic markers – quantitative trait loci or QTL)

Why SNP gets so much attention? Pharmcogenomics Personalized medicine

HapMap The International HapMap Project is a multi-country effort to identify and catalog genetic similarities and differences in human beings. Six participating countries: Japan, the United Kingdom, Canada, China, Nigeria, and the United States. The goal is to compare the genetic sequences of different individuals to identify chromosomal regions where genetic variants are shared. Data generated by the Project can be downloaded with minimal constraints.downloaded

NCBI SNP

SNP Array Affymetrix SNP 6.0 array More than 906,600 SNPs: Unbiased selection of 482,000 SNPs; historical SNPs from the SNP Array 5.0 Selection of additional 424,000 SNPs –Tag SNPs –SNPs from chromosomes X and Y –Mitochondrial SNPs –New SNPs added to the dbSNP database –SNPs in recombination hotspots More than 946,000 copy number probes

SNP Array Affymetrix SNP 5.0 array

$1000 genome project Solexa SOLiD 454 Re-sequencing using massive parallel sequencer

Polymorphisms Single Nucleotide Polymorphism (SNP) SNP projects SNP array Sequencing Other Polymorphisms Copy Number / LOH Database Search

In-Del Transposon Aneuploidy … Keiko et al, Genome Research 2008

Polymorphisms Single Nucleotide Polymorphism (SNP) SNP projects SNP array Sequencing Other Polymorphisms Copy Number / LOH Database Search

CGH – Comparative Genomic Hybridization

FISH - Fluorescence in situ Hybridization

Cytogenetics

Polymorphisms Single Nucleotide Polymorphism (SNP) SNP projects SNP array Sequencing Other Polymorphisms Copy Number / LOH Database Search