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Genomic Tools And Strategies For Studying Hereditary Conditions In Horses Sofia Mikko, L.S. Andersson, S. Eriksson, J. Axelsson, and G. Lindgren Dept. of Animal Breeding and Genetics, SLU, Uppsala, Sweden The Horse Genome Project http://www.uky.edu/Ag/Horsemap/welcome.html Started in Kentucky 1995 Approx.100 researchers from more than 20 countries Meetings are sponsered by Dorothy Russell Havemeyer Foundation Strong collaboration to make a genetic map, and to sequence the horse genome "Twilight" was selected as the representative horse The sequence was publicly available in January 2007 (http://genome.ucsc.edu/) "Twilight" - Equus caballus Photo courtesy of NHGRI The Horse Genome Sequence http://www.broadinstitute.org/mammals/horse EquCab2 is a Whole Genome Shotgun (WGS) assembly at 6.8X The assembly is 2.68 Gb The final gene-set comprises 20,436 protein-coding genes 4400 pseudogenes (including retrotranposed genes) Bravo is a male Thoroughbred, closely related to Twilight. DNA from his blood cells was cut into large fragments to make a “BAC Library”. The Equine Genome – EquCab2 Wade et al., Science vol 326, 2009 24 individuals from 11 breeds were sequenced to find SNP:s > 1 million distinct SNP:s found 1 SNP/2000 bp Hrafnhetta is an Icelandic horse mare. She was chosen for random sequencing for comparison to the DNA sequence of Twlight. EqCab2 50K SNP chip Wade et al., Science vol 326, 2009 54,602 SNP:s were selected for the EqCab 50K SNP chip Majority of SNPs are polymorphic within breeds 90% of SNPs are ≤ 110 kb apart 99.9% of SNPs are ≤ 1000 kb apart Illumina will no longer provide this version of the chip The Equine Genome – EquCab2 Wade et al., Science vol 326, 2009 The within breed LD in horse is moderate (100-300 kb) Slightly shorter (50-70 kb) across breeds Absence of strong bottleneck during breed formation Many mares are used to maintain population size LD shortest for ancient breeds, and longest for Thoroughbred The Equine Genome – EquCab2 Wade et al., Science vol 326, 2009 LD is 5X shorter than in dog, but 5X longer than in human. LD in Thoroughbred is comparable to the dog Strong conserved synteny between human and horse SNP density required for genome-wide mapping in the horse Wade et al., Science vol 326, 2009 A sampling density of 100,000 SNPs were able to obtain mean maximum r2 values of >0.5 for tested SNPs in all breeds as well as the across breed groups. Power of gene mapping using the EqCab2 SNP chip Wade et al., Science vol 326, 2009 Number of SNPs needed to differentiate horse haplotypes for within-breed gene mapping (by simulation) Desired mean r2max 0.7 0.8 0.9 1.0 High LD breed 30,000 100,000 175,000 245,000 Moderate LD breed 155,000 225,000 300,000 370,000 Low LD breed 250,000 320,000 390,000 460,000 Estimated from LD, number of haplotypes within haplotype blocks, and the polymorphism rate. Tools and strategies when studying hereditary conditions 1) Pattern of inheritance 2) Population and family structure 3) Study design 4) Choice of marker 5) Sample collection 6) DNA preparation 7) Genotyping 8) Analysis of results 9) Functional analysis Molecular studies of mono-, and multifactorial traits Until now the focus has been on monogenic traits SCID, OLWS, HYPP, GBED, JEB, HERDA, PSSM, etc Now the focus has shifted towards multigenic traits Allergies, Osteochondrosis, Bone spavin, etc Population and family structure Related individuals Unrelated individuals • Large half-sib groups are often available in farm animals • Could be difficult to find in inbred populations • Risk of ”deflated ” p-values • Risk of ”inflated” p-values • Population stratification • Less population stratification QQ-plot MDS-plot Study designs Linkage analysis Association study Half-sib families Unrelated individuals Traits cosegregating with chromosome regions Cases vs controls Large chromosomal areas are covered Smaller chromosomal areas are covered Figure from Zhu et al 2008 Choice of DNA marker SNPs Microsatellites High level of automation Low level of automation Less bench-time Time consuming Low cost / marker High cost / marker Low PIC / marker High PIC / marker High coverage of the genome Lower coverage of the genome Bias towards the breed used No bias on breed level for selecting the SNPs E02 Eq020912_2 308088 Q Score : 5.3 Allele 1 : 97.5 ( M ) 2000 1000 0 80 90 100 Sample handling Sample collection DNA preparation Blood, tissue, hair Good DNA quality from blood samples and ”clean” tissue Blood, and tissue samples are more expensive to collect Sample collections/Biobanks Breeders and horse owners are helpful DNA in hair samples has lower quality Manual / automatic Cases & controls should be prepared in the same way Silver Dapple Coat Color Brunberg et al. BMC Genet 2006 Autosomal dominant trait Only eumelanin is diluted Pheomelanin is not affected => chestnut carriers Candidate genes/Comparative approach Brunberg et al. BMC Genet 2006 Candidate genes – dilution genes Comparative approach Silver in mouse Merle in dogs Dun in chicken fading vision Fading vision in zebra fish M-, merle M-+H-, harlekin dun Linkage Analysis of Silver Dapple Brunberg et al. BMC Genet 2006 Well characterized family material 1 heterozygous stallion, 34 offspring, and 29 non-silver dams 41 microsatellites genotyped Linkage analysis using CRIMAP Sequencing and SNP analysis to confirm mutation in PMEL17 Multiple Congenital Ocular Anomalies (MCOA) Andersson et al. BMC Genet 2008, in prep 2010 Codominant mode of inheritance Heterozygotes have cysts in the eye Homozygotes have multiple abnormalities including cysts, wideopen eyes, deformed pupils Similar disease is present in mice Most common in Rocky Mountain ponies, and silver coat colored horses ”Identical by Decent” (IBD) mapping of MCOA Andersson et al. BMC Genet 2008, in prep 2010 11 genetic markers on ECA6q 4.9 Mb interval The causative mutation must be present within a 421 bp fragment on ECA6q, in the same region as SILV More individuals that are unrelated or from other breeds could shorten the interval. Sequencing next step? Skeletal Atavism In Shetland Ponies Most likely a monogenic trait Autosomal recessive inheritance Fully elongated ulna and fibula Low prevalence Not always reported by breeders Photo: Lisa Andersson Carriers may remain undetected Photo: Göran Dalin Association Study of Skeletal Atavism Old samples from a biobank 6 affected, 18 carriers, and 24 non-carriers Average sample success rate of 0.974 Stratification detected GWA show no significant peak, but a few ”small” peaks are detected Homozygosity mapping Sequencing Photo: Göran Dalin Equine Insect Bite Hypersensitivity (EIBH, Summer Eczema) Most common equine skin disease Present in many breeds around the world Proteins in the saliva of the biting midges Culicoides is the main allergen Itching dermatitis may cause open wounds, lichenification, crusts, dandruff and alopecia. Prevalence and heratibility study of Equine IBH Eriksson et al Animal 2007 Prevalence of 8% in Swedish born Icelandic Horses Range 0-30% between different parental half-sib groups. Phenotypes were graded in four classes Heritability estimated to 14% (40-50% on the underlying, continuous scale) GWA study of EIBH 104 cases, and 105 matched half-sib controls 54602 SNPs analyzed Genotyping rate was 0.99 539 SNPs had >10% missing genotyping 1014 SNPs were not in HWE 14651 SNPs with MAF<0.05 Left 38398 SNPs to be analyzed Average spacing between markers is 59.8 kb (1 bp - 1.3 Mb) Average maximum LD (r2)=0.3 at ≈14.4 kb GWA study of EIBH No stratification detected Matched cases and controls Deflation of p-values due to family structure Conservative phenotype inclusion No GWA found using allelic case/control, as well as logistic for cases regression. GWA study of EIBH No SNP reached genome wide significance With risk ratio of 2 we need > 5X the cases Power calculations show that we can only detect loci with very strong effect (RR>7) 173,000 markers needed to cover the Icelandic horse genome Performance Traits In Swedish Trotters Nei: 0.524 Fst: 0.134 The Standardbred trotter (S) The North Swedish horse (NS) Nei: 0.503 Fst: 0.130 Nei: 0.367 Fst: 0.081 The North Swedish trotter (NST) Population structure • The STRUCTURE analysis of the microsatellite dataset (n=122) could not separate NS and NST • “Identity By State” cluster analysis of the SNP dataset revealed three breeds separated into three distinct clusters. NS S NST Breed diversity in ECA regions • Regions of positive or balancing slection have been detected by Ewens Watterson test • Fst values of the microsatellite data analysis reveal chromosome areas where the NST may be closer related to S than to NS. • Fst values on SNP data will be next analysis Funding Formas ATG SSH Carl Trygger Helge Axelsson-Johnsson Strömsholm Animal Hospital SLU:s Animal Hospital (UDS) Mälarkliniken Animal Hospital Collaborators • Swedish Univ of Agricultural Sciences (SLU): – – – – – – – – – – – – – – – – – – Leif Andersson Lisa Andersson Jeanette Axelsson Hans Broström Emma Brunberg Göran Dalin Björn Ekesten Susanne Eriksson Freddy Fikse Katja Grandinsson Ingrid Jacobsson Gabriella Lindgren Jennifer Meadows Sofia Mikko Aneta Ringholm Kaj Sandberg Hanna Smedstad Gunilla Thyreen • Norsholms Animal Hospital: – • Östra Greda Research Group: – • Gus Cothran Rytis Juras Michigan State Univ.: – – – • Marie Sundquist Texas A&M: – – • Rebecka Frey Jessica Eason-Butler Susan Ewart David Ramsey Norwegian School of Veterinary Science: – Knut Röed