Finnish Genome Center Monday, 16 November 20151 Genotyping & Haplotyping.

Slides:



Advertisements
Similar presentations
Linkage and Genetic Mapping
Advertisements

The Human Genome Project
Lecture 2 Strachan and Read Chapter 13
Applications of genome sequencing projects 1) Molecular Medicine 2) Energy sources and environmental applications 3) Risk assessment 4) Bioarchaeology,
applications of genome sequencing projects
Note that the genetic map is different for men and women Recombination frequency is higher in meiosis in women.
Identification of markers linked to Selenium tolerance genes
SNP Applications statwww.epfl.ch/davison/teaching/Microarrays/snp.ppt.
Understanding GWAS Chip Design – Linkage Disequilibrium and HapMap Peter Castaldi January 29, 2013.
MALD Mapping by Admixture Linkage Disequilibrium.
Signatures of Selection
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.
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
Introduction to Linkage Analysis March Stages of Genetic Mapping Are there genes influencing this trait? Epidemiological studies Where are those.
Human Migrations Saeed Hassanpour Spring Introduction Population Genetics Co-evolution of genes with language and cultural. Human evolution: genetics,
SNP Selection University of Louisville Center for Genetics and Molecular Medicine January 10, 2008 Dana Crawford, PhD Vanderbilt University Center for.
Haplotype Discovery and Modeling. Identification of genes Identify the Phenotype MapClone.
Introduction Basic Genetic Mechanisms Eukaryotic Gene Regulation The Human Genome Project Test 1 Genome I - Genes Genome II – Repetitive DNA Genome III.
Methods of Genome Mapping linkage maps, physical maps, QTL analysis The focus of the course should be on analytical (bioinformatic) tools for genome mapping,
Haplotype Blocks An Overview A. Polanski Department of Statistics Rice University.
Computational research for medical discovery at Boston College Biology Gabor T. Marth Boston College Department of Biology
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.
Chapter : DQA1/PM Chapter 18: Autosomal STR Profiling.
Biology 101 DNA: elegant simplicity A molecule consisting of two strands that wrap around each other to form a “twisted ladder” shape, with the.
CS177 Lecture 10 SNPs and Human Genetic Variation
SNP Haplotypes as Diagnostic Markers Shrish Tiwari CCMB, Hyderabad.
SNPs and the Human Genome Prof. Sorin Istrail. A SNP is a position in a genome at which two or more different bases occur in the population, each with.
Gene Hunting: Linkage and Association
Announcements: Proposal resubmission deadline 4/23 (Thursday).
National Taiwan University Department of Computer Science and Information Engineering Pattern Identification in a Haplotype Block * Kun-Mao Chao Department.
Quantitative Genetics. Continuous phenotypic variation within populations- not discrete characters Phenotypic variation due to both genetic and environmental.
Complex Traits Most neurobehavioral traits are complex Multifactorial
Quantitative Genetics
Polymorphism Haixu Tang School of Informatics. Genome variations underlie phenotypic differences cause inherited diseases.
Linkage and Mapping. Figure 4-8 For linked genes, recombinant frequencies are less than 50 percent.
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
ABC for the AEA Basic biological concepts for genetic epidemiology Martin Kennedy Department of Pathology Christchurch School of Medicine.
1 DNA Polymorphisms: DNA markers a useful tool in biotechnology Any section of DNA that varies among individuals in a population, “many forms”. Examples.
Lecture 6. Functional Genomics: DNA microarrays and re-sequencing individual genomes by hybridization.
Linear Reduction Method for Tag SNPs Selection Jingwu He Alex Zelikovsky.
February 20, 2002 UD, Newark, DE SNPs, Haplotypes, Alleles.
The International Consortium. The International HapMap Project.
Genotyping and Genetic Maps Bas Heijmans Leiden University Medical Centre The Netherlands.
Practical With Merlin Gonçalo Abecasis. MERLIN Website Reference FAQ Source.
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
Notes: Human Genome (Right side page)
NCSU Summer Institute of Statistical Genetics, Raleigh 2004: Genome Science Session 3: Genomic Variation.
Chapter 8 Additional DNA Markers: Amelogenin, Y-Chromosome STRs, mtDNA, SNPs, Alu Repeats ©2002 Academic Press.
Global Variation in Copy Number in the Human Genome Speaker: Yao-Ting Huang Nature, Genome Research, Genome Research, 2006.
The Haplotype Blocks Problems Wu Ling-Yun
Inferences on human demographic history using computational Population Genetic models Gabor T. Marth Department of Biology Boston College Chestnut Hill,
GENOME ORGANIZATION AS REVEALED BY GENOME MAPPING WHY MAP GENOMES? HOW TO MAP GENOMES?
Simple-Sequence Length Polymorphisms
Single Nucleotide Polymorphisms (SNPs
Genetic markers and their detection
Relationship between Genotype and Phenotype
Recombination (Crossing Over)
PLANT BIOTECHNOLOGY & GENETIC ENGINEERING (3 CREDIT HOURS)
BI820 – Seminar in Quantitative and Computational Problems in Genomics
Haplotype Inference Yao-Ting Huang Kun-Mao Chao.
Haplotype Inference Yao-Ting Huang Kun-Mao Chao.
Relationship between Genotype and Phenotype
SNPs and CNPs By: David Wendel.
Haplotype Inference Yao-Ting Huang Kun-Mao Chao.
Presentation transcript:

Finnish Genome Center Monday, 16 November Genotyping & Haplotyping

Finnish Genome Center Genotyping Analysis of DNA-sequence variation Human DNA sequence is 99.9% identical between individuals → varying nucleotides Polymorphism: normal variation between individuals (frequency> 1% of population) Genetic variation May cause or predispose to inheritable diseases Determines e.g. individual drug response Used as markers to identify disease genes

Finnish Genome Center Important terms Allele Alternative form of a gene or DNA sequence at a specific chromosomal location (locus) at each locus an individual possesses two alleles, one inherited from each parent Genotype genetic constitution of an individual, combination of alleles Genetic marker Polymorphisms that are highly variable between individuals: Microsatellites and single nucleotide polymorphisms (SNPs) Marker may be inherited together with the disease predisposing gene because of linkage disequilibrium (LD)

Finnish Genome Center Linkage disequilibrium, LD Alleles are in LD, if they are inherited together more often than could be expected based on allele frequencies Two loci are inherited together, because recombination during meiosis separates them only seldom

Finnish Genome Center Microsatellite markers Di-, tri-, tetranucleotide repeats GAACGTACTCACACACACACACATTTGAC TTCGATGATAGATAGATAGATAGATACGT the number of repeats varies (→ 30) highly polymorphic distributed evenly throughout the genome easy to detect by PCR

Finnish Genome Center SNP markers Single Nucleotide Polymorphisms (SNPs) GTGGACGTGCTT[G/C]TCGATTTACCTAG The most simple and common type of polymorphism Highly abundant; every 1000 bp along human genome Most SNPs do not affect on cell function some SNPs could predispose people to disease or influence the individual’s response to a drug

Finnish Genome Center SNP genotyping techniques over 100 different approaches Ideal SNP genotyping platform: high-throughput capacity simple assay design robust affordable price automated genotype calling accurate and reliable results

Finnish Genome Center...SNP genotyping techniques PCR discrimination between alleles: allele-specific hybridization allele-specific primer extension allele-specific oligonucleotide ligation allele-specific enzymatic cleavage detection of the allelic discrimination: light emitted by the products mass change in the electrical property

Finnish Genome Center High-throughput genotyping; Finnish Genome Center as an example Independent department of University of Helsinki since 1998 National core facility for the genetic research of multifactorial diseases Provides collaboration and genotyping service to scientist and research groups in Finland, also abroad

Finnish Genome Center Goals of the Finnish Genome Center help designing genetic studies perform high-throughput genotyping perform data analysis training of scientists adopt and develop new strategies & technologies

Finnish Genome Center Research strategies Genome-wide scan ~400 microsatellite markers at 10 cM interval Family-data Fine mapping Candidate regions identified by a genome scan Project specific microsatellite or SNP markers SNP genotyping Candidate genes Fine mapping Sequenom: MassArray MALDI-TOF

Finnish Genome Center Setting up PCR-reactions

Finnish Genome Center Electrophoresis run for microsatellites

Finnish Genome Center Microsatellite data MarkerWell IDSampleIDAllele1Allele2Size1Size2 D7S513H01OA D7S517C07DYS D7S640B02DYS D7S640G12OA D7S669E05OA D8S258B06DYS D8S260C02DYS D8S264H01OA

Finnish Genome Center SNP genotyping with MassARRAY (MALDI-TOF) Primer extension reactions designed to generate different sized products Analysis by mass spectrometry C/T G/A GGACCTGGAGCCCCCACC GGACCTGGAGCCCCCACCC GGACCTGGAGCCCCCACCTC Extendable primer C analyte T analyte ,9.9 Mass in Daltons G/A ddCTP dTTP dATP dGTP

Finnish Genome Center Mass spectrometry multiplexing

Finnish Genome Center SNP data ASSAY_IDCHIP_IDWELL_IDSAMPLE_IDGENOTYPEDESCRIPTION rs105631A01IDE.26738ACA.Conservative rs105631A02IDE.35271AA.Conservative rs35271B05IDE.68466TGA.Conservative rs67792A01IDE.35357GB.Moderate rs B02IDE.35328CA.Conservative rs427783C04IDE.87378ACA.Conservative rs D12IDE.83257AA.Conservative rs451675E10IDE.54727AA.Conservative rs478906F01IDE.25335ACA.Conservative

Finnish Genome Center SNP genotyping workflow at FGC

Finnish Genome Center Haplotype Multiple loci in the same chromosome that are inherited together Usually a string of SNPs that are linked alleles locus haplotypes

Finnish Genome Center Haplotype construction No good molecular methods available to identify haplotypes Genotypes→Haplotypes, two alternatives SNP1 AT A T A T SNP2 GC G C C G → Computational methods to create haplotypes from genotype data

Finnish Genome Center...Haplotype construction Family-based haplotype construction Linkage analysis softwares: Simwalk, Merlin, Genehunter, Allegro... Population-based haplotype construction Not as reliable as family-based EM-algorithm (expectation maximization algorithm), described in gene.cimr.cam.ac.uk/clayton/software/ SnpHap PHASE

Finnish Genome Center Haplotype blocks Low recombination rate in the region Strong LD Low haplotype diversity Small number of SNPs in the block are enough to identify common haplotypes; tag SNPs

Finnish Genome Center recombination x chromosomes Formation of haplotype blocks meiosis

Finnish Genome Center Few generationsHundreds of generations

Finnish Genome Center Average block size African populations: 11 kb Non-african populations: 22 kb 60%-80% of the genome is in the blocks of > 10 kb kb

Finnish Genome Center Block frequencies Typically, only 3-5 common haplotypes account for >90% of the observed haplotypes

Finnish Genome Center Benefits of haplotypes instead of individual SNPs Information content is higher Gene function may depend on more than one SNP Smaller number of required markers The amount of wrong positive association is reduced Replacing of missing genotypes by computational methods Elimination of genotyping errors Challenges: Haplotypes are difficult to define directly in the lab; computational methods Defining of block boarders is ambiguous; several different algorithms

Finnish Genome Center The HapMap project International collaboration to create a map of human genetic variation The map is based on common haplotype patterns Includes information on SNPs (location, frequency, sequence) Haplotype block structure Distribution of haplotypes in different populations

Finnish Genome Center