Presentation is loading. Please wait.

Presentation is loading. Please wait.

G.R. Wiggans 1, T.S. Sonstegard 1, P.M. VanRaden 1, L.K. Matukumalli 1,2, R.D. Schnabel 3, J.F. Taylor 3, F.S. Schenkel 4, and C.P. Van Tassell 1 1 Agricultural.

Similar presentations


Presentation on theme: "G.R. Wiggans 1, T.S. Sonstegard 1, P.M. VanRaden 1, L.K. Matukumalli 1,2, R.D. Schnabel 3, J.F. Taylor 3, F.S. Schenkel 4, and C.P. Van Tassell 1 1 Agricultural."— Presentation transcript:

1 G.R. Wiggans 1, T.S. Sonstegard 1, P.M. VanRaden 1, L.K. Matukumalli 1,2, R.D. Schnabel 3, J.F. Taylor 3, F.S. Schenkel 4, and C.P. Van Tassell 1 1 Agricultural Research Service, United States Department of Agriculture, Beltsville, MD, USA 2 Bioinformatics and Computational Biology, George Mason University, Manassas, VA, USA 3 Division of Animal Sciences, University of Missouri, Columbia, MO, USA 4 University of Guelph, Guelph, ON, Canada george.wiggans@ars.usda.gov 2008 ADSA-ASAS 2008 (1)G.R. Wiggans Selection of single nucleotide polymorphisms and genotype quality for genomic prediction of genetic merit in dairy cattle Abstr. #524

2 G.R. Wiggans 2008 ADSA-ASAS 2008 (2) Bovine SNP50 BeadChip Collaborators and users Bovine HapMap Consortium Existing SNP resources Bovine HapMap Consortium SNP discovery

3 G.R. Wiggans 2008 ADSA-ASAS 2008 (3) Laboratories & animals genotyped l Bovine Functional Genomics Laboratory, 8,236 ARS, USDA (Beltsville, MD) l GeneSeek (Lincoln, NE)2,288 l University of Alberta (Edmonton, AB) 1,325 l University of Missouri (Columbia, MO) 914 l Genetics & IVF Institute (Fairfax, VA)703 l Illumina (San Diego, CA) 116

4 G.R. Wiggans 2008 ADSA-ASAS 2008 (4) Genotypes by breed & sex BreedFemaleMaleAll Brown Swiss3348351 Holstein1,5679,04610,613 Jersey0589 All1,5709,98311,553

5 G.R. Wiggans 2008 ADSA-ASAS 2008 (5) SNP filtering & counts l SNP available 58,336 (including those not supported by Illumina) l Insufficient average number of beads1,389 l Unscorable 4,360 l Monomorphic in Holsteins 5,734 l Minor allele frequency (MAF) of <5% 6,145 l Percentage heterozygous different from282 expected or other scoring issues l Highly correlated 2,010 l Used for genomic prediction 38,416

6 G.R. Wiggans 2008 ADSA-ASAS 2008 (6) Bull distribution for unscorable SNP 4,389 Holstein bulls genotyped

7 G.R. Wiggans 2008 ADSA-ASAS 2008 (7) SNP distribution for bulls with unscorable SNP

8 G.R. Wiggans 2008 ADSA-ASAS 2008 (8) Identical twins & clones Missing SNP Changes l GLC Triton-ETN1910 GLC Triad-ETN348364 GLC Trey-ETN145 l Comestar Laureat132 Comestar Loyalty165 l Bermath Monroe160156 Bermath Morgan8376 l Granduc Blizzard1310 Granduc Spartan3633 l Granduc Performance84 Granduc Performer988984 l U-of-Minn W Fatal Twyla2,2722,223 U-of-Minn W Fatal Tabina11665

9 G.R. Wiggans 2008 ADSA-ASAS 2008 (9) Genotyping for same bulls l 2 laboratories; 46 bulls; 38,416 SNP l SNP unscorable only once w Mean of 792 SNP w Range of 20 to 2,244 SNP l SNP conflict (<0.003%) w Mean of 0.9 SNP w Range of 0 to 7 SNP

10 G.R. Wiggans 2008 ADSA-ASAS 2008 (10) Highly correlated SNP l 4,286 bulls; 40,426 SNP l Compare each SNP with all others with MAF within 2% l Count all 9 combinations of 0, 1, and 2 for 2 SNP l Assumed highly correlated if only combinations with >21 SNP are 00, 11, and 22 or 20, 11, and 02

11 G.R. Wiggans 2008 ADSA-ASAS 2008 (11) Highly correlated SNP (cont.) l 2,444 pairs detected and categorized into 1,696 groups SNP in group Groups l Group sizes 21,450 for highly 3198 correlated 430 SNP 5106 7171 101

12 G.R. Wiggans 2008 ADSA-ASAS 2008 (12) Highly correlated SNP (cont.) l Distance between autosomal SNP w 65,531 mean base pairs between consecutive SNP w 19,826 base pairs between 1,199 consecutive highly correlated SNP w 423,033 base pairs between 469 SNP in group where  1 SNP in group is not consecutive

13 G.R. Wiggans 2008 ADSA-ASAS 2008 (13) Minor allele frequency distribution 38,416 SNP

14 G.R. Wiggans 2008 ADSA-ASAS 2008 (14) Heterozygosity differences l SNP different from expected heterozygosity by >7% Chromo -someSNP* MAF (%) Actual (%) Expected (%) 15 Hapmap39475-BTA-20743203931 18 ARS-BFGL-NGS-9311 417248 26 ARS-BFGL-NGS-97477479550 29 ARS-BFGL-NGS-32567305942 X*X*ARS-BFGL-NGS-74090425949 BTB-01316369224434 *SNP assigned based on bull homozygosity

15 G.R. Wiggans 2008 ADSA-ASAS 2008 (15) Sex determination l 605 SNP on X chromosome and not on Y (not in pseudo-autosomal region) l Bulls should not be heterozygous l Cows (n = 255) w Mean of 229.6 heterozygous SNP w Range of 133 to 277 heterozygous SNP

16 G.R. Wiggans 2008 ADSA-ASAS 2008 (16) Parentage verification & discovery l Compare parent and progeny SNP if both homozygous l If >200 conflicts found, check every other genotype for one with <30 conflicts w May be parent, progeny, duplicate, clone, or identical twin

17 G.R. Wiggans 2008 ADSA-ASAS 2008 (17) Estimating missing SNP − imputing l Base population gene frequencies estimated with best linear unbiased prediction l Estimates provided for all genotyped animals and ancestors l If SNP genotype missing, estimate used if within 0.2 of 0, 1, or 2 l 6,268 genotyped animals w 0.9 % missing w 45% filled

18 G.R. Wiggans 2008 ADSA-ASAS 2008 (18) Summary l High-density Illumina BovineSNP50 BeadChip available l >38,000 SNP available for Holsteins l Genotypes consistent across laboratories l Few parent-progeny genotyping errors found l If parentage error found, correct parent often can be determined

19 G.R. Wiggans 2008 ADSA-ASAS 2008 (19) Summary (cont.) l SNP on X-chromosome support sex validation l Call rate is high and may be improved l Detection of highly correlated SNP revealed probable errors in map locations

20 G.R. Wiggans 2008 ADSA-ASAS 2008 (20) Financial support l National Research Initiative grants, USDA l Natl. Assoc. of Animal Breeders (NAAB, Columbia, MO) w ABS Global (DeForest, WI) w Accelerated Genetics (Baraboo, WI) w Alta (Balzac, AB) w Genex (Shawano, WI) w New Generation Genetics (Fort Atkinson, WI) w Select Sires (Plain City, OH) w Semex Alliance (Guelph, ON) w Taurus-Service (Mehoopany, PA) l Agricultural Research Service, USDA


Download ppt "G.R. Wiggans 1, T.S. Sonstegard 1, P.M. VanRaden 1, L.K. Matukumalli 1,2, R.D. Schnabel 3, J.F. Taylor 3, F.S. Schenkel 4, and C.P. Van Tassell 1 1 Agricultural."

Similar presentations


Ads by Google