Multi-Allelic Haplotype-Based Association Analysis Identifies
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Haplotype Block Definition and Its Application X. Zhu, S. Zhang, D
Haplotype Block Definition and Its Application X. Zhu, S. Zhang, D. Kan, and R. Cooper Pacific Symposium on Biocomputing 9:152-163(2004) HAPLOTYPE BLOCK DEFINITION AND ITS APPLICATION X. ZHU1, S. ZHANG2,3, D. KAN1, R. COOPER1 1 Department of Preventive Medicine and Epidemiology, Loyola University Stritch School of Medicine, Maywood, IL 60153, 2 Department of Mathematical Science, Michigan Technological University, Houghton, MI and 3Department of Mathematics, Heilongjiang University, Harbin, China We present a simple two-stage procedure to define haplotype blocks and construct a statistic to test whether a polymorphism belongs to a block. Applying this method to the data of Gabriel et al. [2002] yielded longer haplotype blocks than were originally reported with a similar average percentage of common haplotypes in blocks. Furthermore, across regions of the genome and among the four populations that were studied, we found that linkage disequilibrium between a given single nucleotide polymorphism (SNP) and the haplotype block was a monotonic function of distance. This correlation was essentially independent of the minor allele frequency of the putative causal SNP when it fell outside of the block, however it was strongly dependent on the minor allele frequency when the SNP was internal to the block. These results have direct application to the design of candidate gene or region-wide association studies. 1 Introduction Since SNPs occur about every 300bp they provide much more information than other types of sequence variants in mapping complex diseases. Because the evolutionary history of common diseases is not known, one promising approach is to comprehensively test common genetic variants for association with the trait being studied [1,2]. -
Association Between Haplotypes and Specific Mutations in Swiss Cystic Fibrosis Families
003 I -3'19Xj9 1/3004-0304903.00/0 PEDIATRIC RESEARCH Vol. 30. No. 4, 199 1 Copyright (5 1991 International Pediatric Research Foundation. Inc. h.i~~rc,d~n U..S .,I Association between Haplotypes and Specific Mutations in Swiss Cystic Fibrosis Families SABINA LIECHTI-GALLATI. NASEEM MALIK, MUALLA ALKAN, MARC0 MAECHLER, MICHAEL MORRIS, FRANCINE THONNEY, FELIX SENNHAUSER. AND HANS MOSER Mrclic.al Gcnctics Unii, Dcy~ur/mo~to/'Pedinfrics (In.vel.~pitol). Universirv of Bun. 3010 Bern. S+t.itzerlancl [S.L.-G.. H. \I./: Dc,[)a~.~n~e/i/c!f Gc~ndics, Urli~~rr:cilj~ C'lli/dr.c,n'.c Ho.sl)ital. 4058 Rct.scl. S~.t'il~er.lr~tlrl/N.iC/., M.A I, 117slitrrcc~of iLlcelicol G'enclic.~,U~ri~~er.eitj~ c?fZuric/z, 8001 Zz~ricIi,Swi~z~rland /.IJLI.Mu.]; 11i.cfil~rle of Medicrcl Genetics, Uni1~wvi11,of Geticvu, Centre M6dical Uniro-situire, I21 1 Gencva 4. S~t~irzerluncl/Mi.Mo.J; Mediccrl Gcnrtic.~L'/li/. Uni~~c~r.sit~~of Lu~l.sc~nne, C'c~nrrc Hospitnlier U~iil~c~~sitaircI.i~ucloi.c.. 101 1 Larl.trrtlne. S~~~itserlanci [F T.];NIICI C/II/C/~CII'SHo.el~;tal. SI. Gallen, S~t.itzerlu~lc//F.S.] ABSTRACT. Cystic fibrosis (CF) is the most common CF is the most common severe autosomal recessive genetic severe autosomal recessive genetic disorder in Caucasian disorder in Caucasian populations. with an incidence of about 1 populations, with an incidence of about 1 in 2000 live in 2000 live births, implying a carrier frequency of about 1 in births, implying a carrier frequency of about 1 in 22. -
The Role of Haplotypes in Candidate Gene Studies
Genetic Epidemiology 27: 321–333 (2004) The Role of Haplotypes in Candidate Gene Studies Andrew G. Clarkn Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York Human geneticists working on systems for which it is possible to make a strong case for a set of candidate genes face the problem of whether it is necessary to consider the variation in those genes as phased haplotypes, or whether the one-SNP- at-a-time approach might perform as well. There are three reasons why the phased haplotype route should be an improvement. First, the protein products of the candidate genes occur in polypeptide chains whose folding and other properties may depend on particular combinations of amino acids. Second, population genetic principles show us that variation in populations is inherently structured into haplotypes. Third, the statistical power of association tests with phased data is likely to be improved because of the reduction in dimension. However, in reality it takes a great deal of extra work to obtain valid haplotype phase information, and inferred phase information may simply compound the errors. In addition, if the causal connection between SNPs and a phenotype is truly driven by just a single SNP, then the haplotype- based approach may perform worse than the one-SNP-at-a-time approach. Here we examine some of the factors that affect haplotype patterns in genes, how haplotypes may be inferred, and how haplotypes have been useful in the context of testing association between candidate genes and complex traits. Genet. Epidemiol. & 2004 Wiley-Liss, Inc. Key words: haplotype inference; haplotype association testing; candidate genes; linkage equilibrium Grant sponsor: NIH; Grant numbers: GM65509, HL072904. -
Creation of Subgroup-Specific Haplotype Blocks and Libraries
HIGHLIGHTED ARTICLE | INVESTIGATION HaploBlocker: Creation of Subgroup-Specific Haplotype Blocks and Libraries Torsten Pook,*,†,1 Martin Schlather,†,‡ Gustavo de los Campos,§ Manfred Mayer,** Chris Carolin Schoen,** and Henner Simianer*,† *Department of Animal Sciences, Animal Breeding and Genetics Group, University of Goettingen, 37075, Germany, †Center for Integrated Breeding Research, University of Goettingen, 37075, Germany, ‡Stochastics and Its Applications Group, University of Mannheim, 68159, Germany, §Departments of Epidemiology and Biostatistics and Statistics and Probability, Institute for Quantitative Health Science and Engineering, Michigan State University, Michigan 48824, and **Plant Breeding, Technical University of Munich School of Life Sciences Weihenstephan, 85354 Freising, Germany ORCID IDs: 0000-0001-7874-8500 (T.P.); 0000-0001-5692-7129 (G.d.l.C.); 0000-0003-2687-8316 (M.M.) ABSTRACT The concept of haplotype blocks has been shown to be useful in genetics. Fields of application range from the detection of regions under positive selection to statistical methods that make use of dimension reduction. We propose a novel approach (“HaploBlocker”) for defining and inferring haplotype blocks that focuses on linkage instead of the commonly used population-wide measures of linkage disequilibrium. We define a haplotype block as a sequence of genetic markers that has a predefined minimum frequency in the population, and only haplotypes with a similar sequence of markers are considered to carry that block, effectively screening a dataset for group-wise identity-by-descent. From these haplotype blocks, we construct a haplotype library that represents a large proportion of genetic variability with a limited number of blocks. Our method is implemented in the associated R-package HaploBlocker, and provides flexibility not only to optimize the structure of the obtained haplotype library for subsequent analyses, but also to handle datasets of different marker density and genetic diversity. -
1 DRUG DISCOVERY TARGETING GENOMIC APPROACH Submitted
DRUG DISCOVERY TARGETING GENOMIC APPROACH A Dissertation submitted to the Department of Pharmacy, East West University, in partial fulfillment of the requirements for the degree of Master of Pharmacy. Submitted By Mst. Tania Ashraf ID: 2014-3-79-006 Department Of Pharmacy East West University 1 This thesis paper is dedicated to my beloved Parents… 2 DECLARATION BY THE CANDIDATE I, Mst.Tania Ashraf, hereby declare that this dissertation, entitled “Drug discovery targeting genomic approach” submitted to the Department of Pharmacy, East West University, in the partial fulfillment of the requirement for the degree of Master of Pharmacy, is a genuine & authentic research work carried out by me under the guidance of Dr. Repon Kumer Saha, Assistant Professor, Department of Pharmacy, East West University, Dhaka. The contents of this dissertation, in full or in parts, have not been submitted to any other Institute or University for the award of any Degree or Diploma of Fellowship. ---------------------------------- Mst. Tania Ashraf ID: 2014-3-79-006 Department of Pharmacy East West University Jaharul Islam city, Aftabnagar, Dhaka 3 CERTIFICATION BY THE SUPERVISOR This is to certify that the desertion, entitled “Drug discovery targeting genomic approach” is a benefice research work done, under our guidance and supervision by Mst. Tania Ashraf (ID: 2014-3-79-006), in partial fulfillment of the requirement for the degree of Master of Pharmacy. ------------------------------------- Dr. Repon Kumer Saha Assistant Professor Department of Pharmacy East West University Jaharul Islam city, Aftabnagar, Dhaka 4 ENDORSEMENT BY THE CHAIRPERSON This is to certify that the dissertation, entitled “Drug discovery targeting proteomic approach” is a bonafide research work done by Mst.Tania Ashraf (ID: 2014-3-79-006), in partial fulfillment of the requirements for the degree of Master of Pharmacy. -
Haplotype Tagging Reveals Parallel Formation of Hybrid Races in Two Butterfly Species
bioRxiv preprint doi: https://doi.org/10.1101/2020.05.25.113688; this version posted May 27, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Title: Haplotype tagging reveals parallel formation of hybrid races in two butterfly species One-sentence summary: Haplotagging, a novel linked-read sequencing technique that enables whole genome haplotyping in large populations, reveals the formation of a novel hybrid race in parallel hybrid zones of two co-mimicking Heliconius butterfly species through strikingly parallel divergences in their genomes. Short title: Haplotagging reveals parallel formation of hybrid races Keywords: Butterfly, Genomes, Clines, Hybrid zone, [local] adaptation, haplotypes, population genetics, evolution bioRxiv preprint doi: https://doi.org/10.1101/2020.05.25.113688; this version posted May 27, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Authors: Joana I. Meier1,2,*, Patricio A. Salazar1,3,*, Marek Kučka4,*, Robert William Davies5, Andreea Dréau4, Ismael Aldás6, Olivia Box Power1, Nicola J. Nadeau3, Jon R. Bridle7, Campbell Rolian8, Nicholas H. Barton9, W. Owen McMillan10, Chris D. Jiggins1,10,†, Yingguang Frank Chan4,† Affiliations: 1. Department of Zoology, University of Cambridge, Downing Street, Cambridge, CB2 3EJ, United Kingdom 2. St John’s College, University of Cambridge, Cambridge, CB2 1TP, United Kingdom 3. -
Haplotype Inference from Pedigree Data and Population Data
HAPLOTYPE INFERENCE FROM PEDIGREE DATA AND POPULATION DATA by XIN LI Submitted in partial ful¯llment of the requirements For the Degree of Doctor of Philosophy Dissertation Advisor: Jing Li Department of Electrical Engineering and Computer Science CASE WESTERN RESERVE UNIVERSITY January, 2010 CASE WESTERN RESERVE UNIVERSITY SCHOOL OF GRADUATE STUDIES We hereby approve the thesis/dissertation of _____________________________________________________ candidate for the ______________________degree *. (signed)_______________________________________________ (chair of the committee) ________________________________________________ ________________________________________________ ________________________________________________ ________________________________________________ ________________________________________________ (date) _______________________ *We also certify that written approval has been obtained for any proprietary material contained therein. Table of Contents List of Tables iv List of Figures v Acknowledgments vi Abstract vii Chapter 1. Introduction 1 1.1 Statistical methods . 3 1.2 Rule-based methods . 4 1.2.1 MRHC . 4 1.2.2 ZRHC . 5 Chapter 2. Problem statement and solutions 8 2.1 Large Pedigrees: manipulation of Mendelian constraints . 9 2.2 Families with many markers: dealing with recombinations . 9 2.3 Mixed data: use of population information . 10 Chapter 3. Preliminaries 12 3.1 Mendelian and zero-recombinant constraints . 14 3.2 Locus graphs . 15 3.3 Linear constraints on h variables . 17 Chapter 4. Linear Systems on Mendelian Constraints 19 4.1 Methods to solve the linear systems . 19 4.1.1 Split nodes to break cycles . 20 4.1.2 Detect path constraints from locus graphs . 21 4.1.3 Encode path constraints in disjoint-set structure D . 26 ii 4.2 Analysis of the algorithm on tree pedigrees with complete data 31 4.3 Extension to General Cases . 33 4.3.1 Pedigrees with mating loops . -
Statistical Genetics – Part I
Statistical Genetics –Part I Lecture 3: Haplotype reconstruction Su‐In Lee, CSE & GS, UW [email protected] 1 Outline Basic concepts Allele, allele frequencies, genotype frequencies Haplotype, haplotype frequency Recombination rate Linkage disequilibrium Haplotype reconstruction Parsimony‐based approach EM‐based approach Next topic Disease association studies 2 1 Alleles Alternative forms of a particular sequence Each allele has a frequency, which is the proportion of chromosomes of that type in the population C, G and -- are alleles …ACTCGGTTGGCCTTAATTCGGCCCGGACTCGGTTGGCCTAAATTCGGCCCGG … …ACTCGGTTGGCCTTAATTCGGCCCGGACTCGGTTGGCCTAAATTCGGCCCGG … …ACCCGGTAGGCCTTAATTCGGCCCGGACCCGGTAGGCCTTAATTCGGCCCGG … …ACCCGGTAGGCCTTAATTCGGCC--GGACCCGGTAGGCCTTAATTCGGCCCGG … …ACCCGGTTGGCCTTAATTCGGCCGGGACCCGGTTGGCCTTAATTCGGCCGGG … …ACCCGGTTGGCCTTAATTCGGCCGGGACCCGGTTGGCCTTAATTCGGCCGGG … single nucleotide polymorphism (SNP) allele frequencies for C, G, -- 3 Allele Frequency Notations For two alleles Usually labeled p and q = 1 –p e.g. p = frequency of C, q = frequency of G For more than 2 alleles Usually labeled pA, pB, pC ... … subscripts A, B and C indicate allele names 4 2 Genotype The pair of alleles carried by an individual If there are n alternative alleles … … there will be n(n+1)/2 possible genotypes In most cases, there are 3 possible genotypes Homozygotes The two alleles are in the same state (e.g. CC, GG, AA) Heterozygotes The two alleles are different (e.g. CG, AC) 5 Genotype Frequencies Since alleles occur in pairs, these -
The Definition of Multilocus Haplotype
Aus der Arbeitsgruppe Bioinformatik des Max-Delbruck-Centrums¨ fur¨ Molekulare Medizin (MDC), Berlin-Buch, in Kooperation mit der Medizinischen Fakult¨at der Charit´e- Universit¨atsmedizin Berlin The Definition of Multilocus Haplotype Blocks and Common Diseases Dissertation zur Erlangung des akademischen Grades Doctor rerum medicarum (Dr. rer. medic.) im Fach Medizin vorgelegt der Medizinischen Fakult¨at der Charit´e– Universit¨atsmedizin Berlin Humboldt-Universit¨at zu Berlin von Herrn Dipl.-Math. Michael Nothnagel geboren am 22.07.1971 in Berlin Pr¨asident der Humboldt-Universit¨at zu Berlin: Prof. Dr. Jurgen¨ Mlynek Dekan der Medizinischen Fakult¨at der Charit´e– Universit¨atsmedizin Berlin: Prof. Dr. med. Martin Paul Gutachter: 1. Univ.Prof. Dr. em. Jens G. Reich 2. Suzanne M. Leal, Ph.D., Associate Professor 3. Prof. Dr. Andreas Ziegler eingereicht am: 03. M¨arz 2004 Datum der Promotion (Tag der mundlichen¨ Prufung):¨ 13. Dezember 2004 Abstract Current approaches to haplotype block definition target either absent recom- bination events or the efficient description of genomic variation. This thesis aims to define blocks of single nucleotide polymorphisms (SNP) as areas of elevated linkage disequilibrium (LD). To this end, a new entropy-based measure for LD between multiple markers/loci, the Normalized Entropy Dif- ference, is developed and is characterized as a multilocus extension of the pairwise measure r2. A corresponding algorithm for the block definition is proposed. Its evaluation on a data set of human chromosome 12 from the International Haplotype Map project proves the usefulness of the derived blocks with respect to several features, including their chromosomal cover- age and the number and portion of common block haplotypes. -
Package 'Haplotypes'
Package ‘haplotypes’ February 28, 2020 Type Package Title Manipulating DNA Sequences and Estimating Unambiguous Haplotype Network with Statistical Parsimony Version 1.1.2 Date 2020-02-28 Author Caner Aktas Maintainer Caner Aktas <[email protected]> Description Provides S4 classes and methods for reading and manipulating aligned DNA se- quences, supporting an indel coding methods (only simple indel coding method is avail- able in the current version), showing base substitutions and indels, calculating absolute pair- wise distances between DNA sequences, and collapses identical DNA sequences into haplo- types or inferring haplotypes using user provided absolute pairwise character difference ma- trix. This package also includes S4 classes and methods for estimating genealogical relation- ships among haplotypes using statistical parsimony and plotting parsimony networks. License GPL-2 URL https://cran.r-project.org, https://biolsystematics.wordpress.com/r/ Imports methods, stats, utils, network, sna, ape, phangorn,plotrix NeedsCompilation no Repository CRAN Date/Publication 2020-02-28 13:50:06 UTC R topics documented: haplotypes-package . .2 append-methods . .4 as.data.frame-methods . .5 as.dna-methods . .6 as.DNAbin-methods . .9 as.list-methods . 10 as.matrix-methods . 11 1 2 haplotypes-package as.network-methods . 12 as.networx-methods . 13 as.numeric-methods . 14 as.phyDat-methods . 15 basecomp-methods . 16 boot.dna-methods . 17 distance-methods . 18 Dna-class . 19 dna.obj . 21 grouping-methods . 22 Haplotype-class . 23 haplotype-methods . 24 hapreord-methods . 25 homopoly-methods . 27 image-methods . 28 indelcoder-methods . 29 length-methods . 30 names-methods . 31 ncol-methods . 32 nrow-methods . 33 pairnei-methods . -
A Primary Assembly of a Bovine Haplotype Block Map Based On
Genetics: Published Articles Ahead of Print, published on April 15, 2007 as 10.1534/genetics.106.069369 A primary assembly of a bovine haplotype block map based on a 15k SNP panel genotyped in Holstein-Friesian cattle Mehar S. Khatkar*,§,1, Kyall R. Zenger*,§, Matthew Hobbs*,§, Rachel J. Hawken†,§, Julie A. L. Cavanagh*,§, Wes Barris†,§, Alexander E. McClintock*,§, Sara McClintock‡,§, Peter C. Thomson*,§, Bruce Tier§, Frank W. Nicholas*,§ and Herman W. Raadsma*,§ * Centre for Advanced Technologies in Animal Genetics and Reproduction (ReproGen), University of Sydney, Camden NSW 2570, Australia † CSIRO Livestock Industries, St Lucia QLD 4067, Australia. ‡ Animal Genetics and Breeding Unit*, University of New England, NSW 2351, Australia. § CRC for Innovative Dairy Products, William Street, Melbourne, Vic, 3000, Australia. 1 Running title: Haplotype blocks in bovine genome Keywords: Linkage disequilibrium, haplotype blocks, tag SNPs, bovine, genome- wide, maps 1Corresponding author: Centre for Advanced Technologies in Animal Genetics and Reproduction (ReproGen), University of Sydney, PMB 3, Camden NSW 2570, Australia. E-mail: [email protected] FAX: +61-2-9351 1693 Tele: +61-2-9351 1687 2 ABSTRACT Analysis of data on 1,000 Holstein-Friesian bulls genotyped for 15,036 SNPs has enabled genome-wide identification of haplotype blocks and tag SNPs. A final subset of 9,195 SNPs in Hardy-Weinberg equilibrium and mapped on autosomes on the bovine sequence assembly (release Btau 3.1) were used in the present study. The average inter-marker spacing was 251.8 kb. The average MAF was 0.29 (0.05-0.5). Following recent precedents in human HapMap studies, a haplotype block was defined where 95 % of combinations of SNPs within a region are in very high linkage disequilibrium. -
Snps and Haplotype Inference
SNPs and Haplotype Inference 10-810, CMB lecture 10---Eric Xing Polymorphism • Alleles: Alternative DNA sequences at a locus • Technical definition: most common variant (allele) occurs with less than 99% frequency in the population • Also used as a general term for variation • Many types of DNA polymorphisms, including RFLPs, VNTRs, microsatellites • ‘Highly polymorphic’ = many variants 1 Type of polymorphisms • Single base mutation (SNP) – Restriction fragment length (RFLP) – Creating restriction sites via PCR primer – Direct sequencing • Insertion/deletion of a section of DNA – Minisatellites: repeated base patterns (several hundred base pairs) – Microsatellites: 2-4 nucleotides repeated – Presence or absence of Alu segments Frequency of SNPs greater than that of any other type of polymorphism Single Nucleotide Polymorphism (SNP) GATCTTCGTACTGAGT GATCTTCGTACTGAGT GATCTpTTCGTACGGAAT GATCmTTTCGTACTGAGT GATCTTCGTACTGAAT GATTaTTCGTAC diploid individualGGAAT GATTTTCGTACGGAAT GATCTTCGTACTGAAT chromosome § “Binary” nt-substitutions at a single locus on a chromosome - each variant is called an "allele" 2 Single Nucleotide Polymorphism (SNP) • More than 5 million common SNPs each with frequency 10-50% account for the bulk of human DNA sequence difference • About 1 in every 600 base pairs • It is estimated that ~60,000 SNPs occur within exons; 85% of exons within 5 kb of nearest SNP Why SNPs? • The majority of human sequence variation is due to substitutions that have occurred once in the history of mankind at individual base pairs, SNPs (Patil et al. 2001). • Markers for pinpointing a disease • Association study: check for differences in SNP patterns between cases and controls • There can be big differences between populations! • http://snp.cshl.org/about/introduction.shtml 3 Linkage disequilibrium • Relationship between alleles at different loci.