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Single-step genomic BLUP (ssGBLUP) is a powerful approach for breeding value prediction in populations with a limited number of genotyped animals. However, conflicting genomic (G) and pedigree (A22) relationship matrices complicate the implementation of ssGBLUP into practice. The metafounder (MF) approach is a recently proposed solution for this problem and has been successfully used on simulated and real multi-breed pig data. Advantages of the method are easily seen across breed evaluations, where pedigrees are traced to several pure breeds, which are thereafter used as MF. Application of the MF method to ruminants is complicated due to multi-breed pedigree structures and the inability to transmit existing unknown parent groups (UPG) to MF. In this study, we apply the MF approach for ssGBLUP evaluation of Finnish Red Dairy cattle treated as a single breed. Relationships among MF were accounted for by a (co)variance matrix (Γ) computed using estimated base population allele frequencies. The attained Γ was used to calculate a relationship matrix A 22 Γ for the genotyped animals. We tested the influence of SNP selection on the Γ matrix by applying a minor allele frequency (MAF) threshold (ΓMAF) where accepted markers had an MAF ≥0.05. Elements in the ΓMAF matrix were slightly lower than in the Γ matrix. Correlation between diagonal elements of the genomic and pedigree relationship matrices increased from 0.53 (A22) to 0.76 ( A 22 Γ and A 22 Γ MAF ). Average diagonal elements of A 22 Γ and A 22 Γ MAF matrices increased to the same level as in the G matrix. The ssGBLUP breeding values (GEBV) were solved using either the original 236 or redefined 8 UPG, or 8 MF computed with or without the MAF threshold. For bulls, the GEBV validation test results for the 8 UPG and 8 MF gave the same validation reliability (R2; 0.31) and over-dispersion (0.73, measured by regression coefficient b1). No significant R2 increase was observed in cows. Thus, the MF greatly influenced the pedigree relationship matrices but not the GEBV. Selection of SNP according to MAF had a notable effect on the Γ matrix and made the A22 and G matrices more similar.

Inbreeding gives rise to continuous lengths of homozygous genotypes called runs of homozygosity (ROH) that occur when identical haplotypes are inherited from both parents. ROHs are enriched for deleterious recessive alleles and can therefore be linked to inbreeding depression, defined as decreased phenotypic performance of the animals. However, not all ROHs within a region are expected to have harmful effects on the trait of interest. We aimed to identify ROHs that unfavourably affect female fertility and milk production traits in the Finnish Ayrshire population. The estimated effect of ROHs with the highest statistical significance varied between parities from 9 to 17 days longer intervals from calving to first insemination, from 13 to 38 days longer intervals from first to last insemination and from 0.3 to 1.0 more insemination per conception. Similarly, for milk production traits ROHs were associated with a reduction of 208 kg for milk yield, 7 kg for protein yield and 16 kg for fat yield. We also found regions where ROHs displayed unfavourable effects across multiple traits. Our findings can be exploited for more efficient control of inbreeding depression, for example by minimizing the occurrence of unfavourable haplotypes as homozygous state in breeding programmes.

A major proportion of the costs of pork production is related to feed. The feed conversion rate (FCR) or residual feed intake (RFI) is thus commonly included in breeding programmes. Feeding behaviour traits do not directly have economic value but, if correlated with production traits, can be used as auxiliary traits. The aim of this study was to estimate the heritability of feeding behaviour traits and their genetic correlations with production traits in the Finnish Yorkshire pig population. The data were available from 3,235 pigs. Feeding behaviour was measured as the number of visits per day (NVD), time spent in feeding per day (TPD), daily feed intake (DFI), time spent feeding per visit (TPV), feed intake per visit (FPV) and feed intake rate (FR). The test station phase was divided into five periods. Estimates of heritabilities of feeding behaviour traits varied from 0.17 to 0.47. Strong genetic correlations were obtained between behaviour traits in all periods. However, only DFI was strongly correlated with the production traits. Interestingly, a moderate positive genetic correlation was obtained between FR and backfat thickness (0.1?0.5) and between FR and average daily gain (0.3?0.4), depending on the period. Based on the results, there is no additional benefit from including feeding-related traits other than those commonly used (FCR and RFI) in the breeding programme. However, if correlated with animal welfare, the feeding behaviour traits could be valuable in the breeding programme.

Inbreeding increases homozygosity, which in turn increases the frequency of harmful recessive alleles, resulting in inbreeding depression. Inbreeding depression on fertility reduces the profitability of dairy farming by decreasing the lifetime milk production of cows and by increasing insemination and veterinary costs. Continuous homozygous segments, called runs of homozygosity (ROH), are currently considered to provide an effective measure of genomic inbreeding. The aim of this study was to estimate the effect of increased intrachromosomal homozygosity for female fertility in the Finnish Ayrshire population using ROH and haplotype analysis. Genotypes were obtained from 13,712 females with the Illumina BovineLD v.2 BeadChip low-density panel (Illumina Inc., San Diego, CA) and imputed to 50K density. After quality control, 40,554 single nucleotide polymorphisms remained for the analysis. Phenotypic data consisted of records for nonreturn rate, intervals from first to last insemination (IFL), and intervals from calving to first insemination. The raw phenotypic values were preadjusted for systematic effects before statistical analyses. The ROH-based inbreeding coefficients (F-ROH) were used as covariats in the mixed model equation to estimate the association between inbreeding and inbreeding depression on female fertility. First, we estimated the effect of increased chromosomal F-ROH. We detected significant inbreeding depression on IFL. Based on our results, a 10% increase in F-ROH on chromosomes 2, 18, and 22 were associated with IFL of heifers lengthening by 1.6, 0.9, and 0.7 d, respectively. Similarly, a 10% increase in F-ROH on chromosome 15 was associated with IFL of second-parity cows increasing by 2.3 d. Next, we located the regions within the chromosomes showing inbreeding depression. Our analysis revealed regions near the beginning of chromosome 2 and toward the ends of chromosomes 15, 18, and 22 that were associated with inbreeding depression on IFL. Last, we performed a haplotype analysis for the detected regions. The most promising haplotypes of each region were associated with IFL of heifers increasing by 4.4, 3.2, and 4.1 d on chromosomes 2, 18, and 22, respectively. The haplotype on chromosome 15 associated with IFL of second-parity cows increasing by 7.6 d. Overall, the breeding program requires inbreeding control, as increased genomic inbreeding in our study was associated with reduced reproductive ability in Finnish Ayrshire cattle.

[Background]: Pigs were domesticated independently in Eastern and Western Eurasia early during the agricultural revolution, and have since been transported and traded across the globe. Here, we present a worldwide survey on 60K genome-wide single nucleotide polymorphism (SNP) data for 2093 pigs, including 1839 domestic pigs representing 122 local and commercial breeds, 215 wild boars, and 39 out-group suids, from Asia, Europe, America, Oceania and Africa. The aim of this study was to infer global patterns in pig domestication and diversity related to demography, migration, and selection., [Results]: A deep phylogeographic division reflects the dichotomy between early domestication centers. In the core Eastern and Western domestication regions, Chinese pigs show differentiation between breeds due to geographic isolation, whereas this is less pronounced in European pigs. The inferred European origin of pigs in the Americas, Africa, and Australia reflects European expansion during the sixteenth to nineteenth centuries. Human-mediated introgression, which is due, in particular, to importing Chinese pigs into the UK during the eighteenth and nineteenth centuries, played an important role in the formation of modern pig breeds. Inbreeding levels vary markedly between populations, from almost no runs of homozygosity (ROH) in a number of Asian wild boar populations, to up to 20% of the genome covered by ROH in a number of Southern European breeds. Commercial populations show moderate ROH statistics. For domesticated pigs and wild boars in Asia and Europe, we identified highly differentiated loci that include candidate genes related to muscle and body development, central nervous system, reproduction, and energy balance, which are putatively under artificial selection., [Conclusions]: Key events related to domestication, dispersal, and mixing of pigs from different regions are reflected in the 60K SNP data, including the globalization that has recently become full circle since Chinese pig breeders in the past decades started selecting Western breeds to improve local Chinese pigs. Furthermore, signatures of ongoing and past selection, acting at different times and on different genetic backgrounds, enhance our insight in the mechanism of domestication and selection. The global diversity statistics presented here highlight concerns for maintaining agrodiversity, but also provide a necessary framework for directing genetic conservation., This study is supported by National Production Technology System for the Pig Industry in China (nycytx-008) and Outstanding Talents and Innovation Team of Agricultural Science (2011-81) to LH, AGL2010-14822 and AGL2013-41834-R (Ministry of Economy and Science, Spain) to MPE. LI received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No. 656697. HJM received funding from the IMAGE project (Horizon 2020, No. 677353).

Single nucleotide polymorphism (SNP) data enable the estimation of inbreeding at the genome level. In this study, we estimated inbreeding levels for 19,075 Finnish Ayrshire cows genotyped with a low-density SNP panel (8K). The genotypes were imputed to 50K density, and after quality control, 39,144 SNPs remained for the analysis. Inbreeding coefficients were estimated for each animal based on the percentage of homozygous SNPs (F-PH), runs of homozygosity (F-ROH) and pedigree (F-PED). Phenotypic records were available for 13,712 animals including non-return rate (NRR), number of inseminations (AIS) and interval from first to last insemination (IFL) for heifers and up to three parities for cows, as well as interval from calving to first insemination (ICF) for cows. Average F-PED was 0.02, F-ROH 0.06 and F-PH 0.63. A correlation of 0.71 was found between F-PED and F-ROH, 0.66 between F-PED and F-PH and 0.94 between F-ROH and F-PH. Pedigree-based inbreeding coefficients did not show inbreeding depression in any of the traits. However, when F-ROH or F-PH was used as a covariate, significant inbreeding depression was observed; a 10% increase in F-ROH was associated with 5days longer IFL0 and IFL1, 2weeks longer IFL3 and 3days longer ICF2 compared to non-inbred cows.

Harmful recessive haplotypes for reproductive and fertility traits have previously been detected in cattle, but so far, no studies have been published for pigs. The aim of this study was to locate chromosomal regions with putative lethal haplotypes and estimate the effects of the identified haplotypes on reproductive traits in the Finnish Yorkshire pig breed. We used marker genotypes of 871 Finnish Yorkshire AI boars, genotyped with Illumina's PorcineSNP60 BeadChip. The analysed traits were number of stillborn piglets in first (NSB1) and later (NSB2) parities, total number of piglets born in first and later parities and piglet mortality between birth and weaning in first and later parities. A haplotype was claimed as a putative lethal if it was common in the population, but no homozygous animals were found. We detected altogether 26 putative lethal haplotypes, but only one haplotype on chromosome 8 (position 107.0-113.3 Mb) was significantly associated with traits NSB1 and NSB2. Three possible candidate genes were found in this chromosomal region: MAD2LI, FGF2 and ANXA5. Further analysis is needed to confirm the role of these genes on pig reproductive performance.

Background: The Hovawart is a working and companion dog breed of German origin. A few hundred Hovawart dogs are registered annually in Finland. The most common disease with a proposed genetic background in Hovawarts is hypothyroidism. The disease is usually caused by lymphocytic thyroiditis, an autoimmune disorder which destroys the thyroid gland. Hypothyroidism can be treated medically with hormone replacement. Its overall incidence could also be reduced through selection, provided that the trait shows an adequate genetic basis. The aim of this study was to estimate the heritability of hypothyroidism in the Finnish Hovawart population. Results: The pedigree data for the study were provided by the Finnish Kennel Club and the hypothyroidism data by the Finnish Hovawart Club. The data included 4953 dogs born between 1990 and 2010, of which 107 had hypothyroidism and 4846 were unaffected. Prior to the estimation of heritability, we studied the effects of gender, birth year, birth month, and inbreeding on susceptibility to hypothyroidism. Heritability was estimated with the probit model both via restricted maximum likelihood (REML) and Gibbs sampling, using litter and sire of the dog as random effects. None of the studied systematic effects or level of inbreeding had a significant effect on susceptibility to hypothyroidism. The estimated heritability of hypothyroidism varied from 0.47 (SE=0.18) using REML to 0.62 (SD=0.21) using Gibbs sampling. Conclusions: Based on our analysis, the heritability of hypothyroidism is moderate to high, suggesting that its prevalence could be decreased through selection. Thus, breeders should notify the breed association of any affected dogs, and their use for breeding should be avoided.

Immotile, short-tail sperm defect (ISTS) expanded in the Finnish Yorkshire population in the end of 1990s. The causal mutation for this defect is a recent L1 insertion within the SPEF2 gene in chromosome 16. Even though all homozygous boars are eliminated from the population because of infertility, the amount of affected boars increased rapidly until marker-assisted selection against the defect was established. To elucidate the associated effects of the ISTS defect on production traits, we have investigated the association of the L1 insertion and PRLR haplotype with reproduction traits in the Finnish Yorkshire population. Two data sets including 357 sows and 491 AI-boars were genotyped for the presence of the L1 insertion and analysed for association with reproduction traits. A Proc Mixed procedure (SAS Inc) and a software package for analysing multivariate mixed models (DMU) were used to study the effect of polymorphisms on reproduction traits. The L1-insertion within SPEF2 gene was associated with litter size in the first parity. The SPEF2 gene is located adjacent to a candidate gene for litter size in the pig, PRLR. Haplotypes within PRLR exon 10 were analysed in data set of 93 AI-boars for the association with reproduction traits. However, no associations were detected within the analysed data set indicating that PRLR sequence variants are not the causal cause for the identified effect on litter size.

Reproduction traits play an important role in economically viable piglet production and are closely related to the quality and length of the produc- tive life of the sow. A increased removal rate of young sows is undesirable not only because of the associ- ated financial penalties incurred, but also because of ethical concerns. Candidate genes and gene pathways have been identified for fertility in model species, and recent studies have provided evidence that polymor- phisms within these genes are associated with repro- duction traits in American Yorkshire/Large White and Landrace populations. In this study we evaluated the impact of single polymorphisms (n = 7) in 7 candi- date genes on reproductive efficiency in Finnish York- shire (n = 280) and Landrace (n = 271) populations: IGFBP1, IGFBP2, IGFBP3, IGFBP5, CPTIA (carni- tine O-palmitoyltransferase I), COX2 (PG-endoperox- ide synthase 2, also known as cyclooxgenase-2), and SLC22A5 (organic cation/carnitine transporter 2 (sol- ute carrier family member I), OCTN2). In the Finnish Yorkshire population, only 4 of the analyzed markers were polymorphic. Significant effects on farrowing time were detected from the Yorkshire data, with polymor- phisms within the genes CPT1A (a (allele substitution effect of allele A) = 2.97 d for age at first farrowing)), IGFBP3 (a = 0.54 d for farrowing interval of parities >1), and IGFBP5 (a = 3.22, 1.27, and 0.85 d for age at first farrowing and farrowing interval in the first and later parities, respectively). For the Landrace popula- tion, 6 markers were polymorphic, and significant ef- fects were detected for traits affecting litter size. The polymorphism within the COX2 gene had an additive effect of 0.3 piglets for litter size in parities >1, and the IGFBP1 gene had an additive effect of 0.21, 0.26, and 0.11 piglets for litter size in the first parity, pari- ties >1, and stillborn in parities >1, respectively. The additive effect of the SNP within the IGFBP2 gene was 0.16, 0.09, and 0.09 piglets for litter size in parities >1 and stillborn in the first and later parities, respec- tively. Finally, the IGFBP5 gene had an additive effect of 0.18, 0.07, and 0.07 piglets for litter size in the first parity, stillborn in parities >1, and mortality between farrowing and weaning in the first parity, respectively. These results support the suitability of the candidate gene approach for identification of markers to improve the reproductive performance of sows and to provide potential markers for marker-assisted selection.

mpaired migration of primordial germ cells during embryonic development causes hereditary gonadal hypoplasia in both sexes of Northern Finncattle and Swedish Mountain cattle. The affected gonads exhibit a lack of or, in rare cases, a reduced number of germ cells. Most affected animals present left-sided gonadal hypoplasia. However, right-sided and bilateral cases are also found. This type of gonadal hypoplasia prevails in animals with white coat colour. Previous studies indicated that gonadal hypoplasia is inherited in an autosomal recessive fashion with incomplete penetrance. In order to identify genetic regions underlying gonadal hypoplasia, a genome-wide association study (GWAS) and a copy number variation (CNV) analysis were performed with 94 animals, including 21 affected animals, using bovine 777,962 SNP arrays. The GWAS and CNV results revealed two significantly associated regions on bovine chromosomes (BTA) 29 and 6, respectively (P=2.19 x 10-13 and P=5.65 x 10-6). Subsequent cytogenetic and PCR analyses demonstrated that homozygosity of a ~500 kb chromosomal segment translocated from BTA6 to BTA29 (Cs29 allele) is the underlying genetic mechanism responsible for gonadal hypoplasia. The duplicated segment includes the KIT gene that is known to regulate the migration of germ cells and precursors of melanocytes. This duplication is also one of the two translocations associated with colour sidedness in various cattle breeds. ISSN:1932-6203

JID: 100965258; OID: NLM: PMC3248578; 2011/09/05 [received]; 2011/12/02 [accepted]; 2011/12/02 [aheadofprint]; epublish M1 - Journal Article ABSTRACT: BACKGROUND: Male infertility is an increasing problem in all domestic species including man. Localization and identification of genes involved in defects causing male infertility provide valuable information of specific events in sperm development. Sperm development is a complex process, where diploid spermatogonia develop into haploid, highly specialized spermatozoa. Correct expression and function of various genes and their protein products are required for production of fertile sperm. We have identified an infertility defect in Finnish Yorkshire boars caused by spermatogenic arrest. The aim of this study was to locate the disease associated region using genome wide screen with the PorcineSNP60 Beadchip and identify the causal mutation by candidate gene approach. RESULTS: In the Finnish Yorkshire pig population the spermatogenic arrest (SA) defect appears to be of genetic origin and causes severe degeneration of germ cells and total absence of spermatozoa. Genome wide scan with the PorcineSNP60 Beadchip localized the SA defect to porcine chromosome 12 in a 2 Mbp region. Sequencing of a candidate gene Tex14 revealed a 51 bp insertion within exon 27, which caused differential splicing of the exon and created a premature translation stop codon. The expression of Tex14 was markedly down regulated in the testis of a SA affected boar compared to control boars and no protein product was identified by Western blotting. The SA insertion sequence was also found within intron 27 in all analyzed animals, thus the insertion appears to be a possible duplication event. CONCLUSION: In this study we report the identification of a causal mutation for infertility caused by spermatogenic arrest at an early meiotic phase. Our results highlight the role of TEX14 specifically in spermatogenesis and the importance of specific genomic remodeling events as causes for inherited defects.

Background Occurrence of blood and meat inclusions is an internal egg quality defect. Mass candling reveals most of the spots, but because brown eggshell hampers selection in brown chicken lines it has not been possible to eliminate the defect by selection. Estimated frequency of blood and meat inclusions in brown layers is about 18% whereas it is 0.5% in white egg layers. Several factors are known to increase the incidence of this fault: genetic background, low level of vitamin A and/or D, stress or infections, for instance. To study the genetic background of the defect, a mapping population of 1599 F2 hens from a cross of White Rock and Rhode Island Red lines was set up. Results Our histopathological analyses show that blood spots consist of mainly erythrocytes and that meat spots are accumulations of necrotic material. Linkage analysis of 27 chromosomes with 162 microsatellite markers revealed one significant quantitative trait locus (QTL) affecting blood spot and meat spot frequency. We sequenced a fragment of a candidate gene within the region, ZO-2, coding for a tight junction protein. Nine polymorphisms were detected and two of them were included in fine-mapping and association analysis. Fine-mapping defined the QTL result. To further verify the QTL, association analyses were carried out in two independent commercial breeding lines with the marker MCW241 and surrounding SNPs. Association was found mainly in a 0.8 Mb-wide chromosomal area on GGAZ. Conclusions There was good agreement between the location of the QTL region on chromosome Z and the association results in the commercial breeds analyzed. Variations found in tight junction protein ZO-2 and microRNA gga-mir-1556 may predispose egg layers to blood and meat spot defects. This paper describes the first results of detailed QTL analyses of the blood and meat spots trait(s) in chickens.

We introduce a novel Bayesian approach to estimate and account for population structure simultaneously with association mapping of multiple quantitative trait loci. The method is designed for an analysis of unrelated individuals from a mixture of two populations (no admixture), where the individual population memberships are unknown. In our approach, the population structure is estimated and accounted for by using data on additional "grouping" markers which are assumed to be in Hardy-Weinberg equilibrium within the populations but have different allele frequencies between the populations. We use Bayesian hierarchical modeling and Markov chain Monte Carlo estimation, where we allow both population stratification and genetic heterogeneity. In our model the number of quantitative trait loci and their positions are treated as random variables, and we obtain their posterior distributions. Here we select the candidate and the grouping markers based on results from a preliminary SOLAR analysis.

Background Color and pH of meat measured 24 h post mortem are common selection objectives in pig breeding programs. Several amino acid substitutions in PRKAG3 have been associated with various meat quality traits. In our previous study ASGA0070625, a SNP next to PRKAG3, had the most significant association with meat quality traits in the Finnish Yorkshire. However, the known amino acid substitutions, including I199V, did not show any association. The aims of this study were to characterize further variation in PRKAG3 and its promoter region, and to test the association between these variants and the pH and color of pork meat. Results The data comprised of 220 Finnish Landrace and 230 Finnish Yorkshire artificial insemination boars with progeny information. We sequenced the coding and promoter region of PRKAG3 in these and in three additional wild boars. Genotypes from our previous genome-wide scans were also included in the data. Association between SNPs or haplotypes and meat quality traits (deregressed estimates of breeding values from Finnish national breeding value estimation for pH, color lightness and redness measured from loin or ham) was tested using a linear regression model. Sequencing revealed several novel amino acid substitutions in PRKAG3, including K24E, I41V, K131R, and P134L. Linkage disequilibrium was strong among the novel variants, SNPs in the promoter region and ASGA0070625, especially for the Yorkshire. The strongest associations were observed between ASGA0070625 and the SNPs in the promoter region and pH measured from loin in the Yorkshire and between I199V and pH measured from ham in the Landrace. In contrast, ASGA0070625 was not significantly associated with meat quality traits in the Landrace and I199V not in the Yorkshire. Haplotype analysis showed a significant association between a haplotype consisting of 199I and 24E alleles (or g.-157C or g.-58A alleles in the promoter region) and pH measured from loin and ham in both breeds (P-values varied from 1.72 × 10-4 to 1.80 × 10-8). Conclusions We conclude that haplotype g.-157C - g.-58A - 24E - 199I in PRKAG3 has a positive effect on meat quality in pigs. Our results are readily applicable for marker-assisted selection in pigs.

An immotile short tail sperm defect has recently been identified as a hereditary disorder present within the Finnish Yorkshire pig population. The syndrome is inherited as an autosomal recessive disease exclusively expressed in male individuals as shorter sperm tail length and immotile spermatozoa. Based on the assumption of a recent common origin of the disease-causing mutation, a genome-wide search was performed with 228 evenly spaced microsatellites by homozygosity mapping of affected and unaffected DNA pools. One locus, SW2411 on Chr 16, demonstrated a significantly skewed allele distribution between the two pools. Linkage analysis of five markers in this region mapped the disease-causing gene within a 6-cM confidence interval region with a highest LOD score of 7.7 at marker SW419. It appears that three-marker haplotypes can be used for marker-assisted selection within analyzed pedigrees. Furthermore, future fine mapping may reveal a more precise population-wide associated haplotype and facilitate identification of a new gene affecting sperm tail development.

Background Male infertility is an increasing problem in all domestic species including man. Localization and identification of genes involved in defects causing male infertility provide valuable information of specific events in sperm development. Correct condensation of the sperm head and development of the acrosome are required for fertile sperm. In the Finnish Yorkshire pig population a knobbed acrosome defect (KAD) has been reported which appears to be of genetic origin. In previous studies we have shown that a large number of affected spermatozoa have a cystic swelling anterior to the apical part of the acrosome. Results Characterization of the knobbed acrosome affected sperm revealed that both the acrosomal granules and chromatin are affected. This type of KAD appears to be a previously unknown and serious form of the defect. A genome wide scan with PorcineSNP60 Genotyping BeadChip defined the KAD associated region within 0.7 Mbp on porcine chromosome 15. Two genes, STK17b and HECW2, located within this region were sequenced. The expression of these genes appeared comparable in KA-affected and control boars. The known function of HECW2 in acrosome development highlighted this gene as a good candidate responsible for the KAD. One nonsynonymous SNP was identified within the HECW2 gene. However, as this mutation was found in homozygous state in individuals with normal sperm, this is not likely to be the causal mutation. Conclusions In this study we identified two candidate genes for a severe defect affecting both the sperm acrosome and chromatin that causes infertility. One of these genes, HECW2, plays an important role in ubiquitination, a prerequisite for chromatin remodelling and acrosome formation, highlighting the involvement of this gene in the knobbed acrosome defect and male infertility.

Recent developments in sequencing methods have enabled whole genome sequencing of several species and the available sequence information has allowed the development of high throughput genotyping chips. However, these genotyping methods require high quality DNA. The possibility to genotype samples based on DNA from non-invasive sources would permit retrospective genotyping of previously collected samples and also facilitate the analysis of large populations e.g. for genomic selection. In this study we have developed and evaluated different DNA preparation methods from porcine hair root follicles for high throughput genotyping with the PorcineSNP60 Genotyping BeadChip (Illumina). We describe a method for DNA extraction from porcine hair root samples, which produces results from high throughput genotyping with the same high degree of accuracy as previously reported for DNA extracted from sperm, blood or tissue samples. This method was used for the genotyping of 273 hair follicle samples. When the DNA concentration was > 30 ng/ìl all samples had the same high call rate ( > 99%) as sperm samples confirming the robustness of this DNA extraction method for high throughput genotyping. Our data also establishes the suitability of the PorcineSNP60 BeadChip for genotyping the Finnish Landrace population., Viime aikoina uuden sukupolven sekvensointimenetelmät ovat mahdollistaneet useiden lajien koko genomin sekvensoinnin. Sekvenssitietoon perustuen on kehitetty genotyypityssiruja, joiden käyttö kuitenkin vaatii laadukasta DNA:ta. Perinteisesti DNA:n eristämiseen on käytetty veri-, sperma- tai kudosnäytteitä, joiden kerääminen kuitenkin on kallista, aikaa vievää ja stressaavaa eläimille. Karvanäytteitä on aiemmin käytetty yksittäisten geenimerkkien genotyypitykseen, mutta heikko DNA:n laatu on estänyt luotettavan sirugenotyypityksen karvanäytteistä. Mahdollisuus käyttää karvatupesta eristettyä DNA:ta sirutyypityksiin mahdollistaisi jo olemassa olevien näytteiden ja laajojen aineistojen genotyypityksen sirutekniikalla. Tässä tutkimuksessa olemme kehittäneet ja testanneet eri menetelmiä laadukkaan DNA:n eristämiseksi sikojen karvatupesta ja analysoitavaksi PorcineSNP60 Genotyping BeadChip-genotyypityssirulla (Illumina). Parhaan DNA konsentraation ja puhtauden antanut menetelmä valittiin 273n karvanäytteen analysointiin. Kun DNAn konsentraatio oli yli 30ng/µl, karvatupesta eristetty DNA tuotti sirugenotyypityksessä yhtä luotettavia tuloksia kuin spermasta eristetty DNA (onnistumisprosentti >99%). Tulokset myös todistavat PorcineSNP60-genotyypityssirun sopivuuden suomalaisen maatiaissikapopulaation analysointiin.

Type 2 diabetes (T2D) is a common, polygenic chronic disease with high heritability. The purpose of this whole-genome association study was to discover novel T2D-associated genes. We genotyped 500 familial cases and 497 controls with >300,000 HapMap-derived tagging single-nucleotide-polymorphism (SNP) markers. When a stringent statistical correction for multiple testing was used, the only significant SNP was at TCF7L2, which has already been discovered and confirmed as a T2D-susceptibility gene. For a replication study, we selected 10 SNPs in six chromosomal regions with the strongest association (singly or as part of a haplotype) for retesting in an independent case-control set including 2,573 T2D cases and 2,776 controls. The most significant replicated result was found at the AHI1-LOC441171 gene region.

Summary The effect of dominance on the accuracy of genetic evaluation was investigated by selection index theory. Three different prediction models were used: a purely additive model, a complete model including dominance and an approximate model (complete only for non-inbred population). Other variables were number of fullsibs, allele frequency and an amount of environmental variance. The complete model including dominance gave better accuracies than both the purely additive model and the approximate model. The difference between the complete model and other models was considerable only when dominance variance was large compared to additive variance (dominant allele was common) and when there was a small amount of environmental variation. An increase in number of full-sibs increased this difference. At most the difference between the models was 8%. The frequency of recessive alleles is probably low in production traits, such as the number of offspring, connected to fitness. The main component of genetic variance in these traits could therefore be dominance variance and some gains could be achieved in considering dominance in their genetic evaluation routines. Zusammenfassung Die Genauigkeit der genetischen Zuchtwertschatzungen in den dominanz-genetischen Modellen unter Berucksichtigung von Inzucht Die Rolle der Dominanz hinsichtlich der Genauigkeit der Zuchtwertschatzungen wurde mittels Index-selektions-Theorie mit drei verschiedenen Zuchtwertschatzungsmodellen — ein rein additives, ein vollstandiges mit Dominanz und ein approximatives Modell (vollkommen nur in den zufallsgepaarten Populationen) — untersucht. Andere Variable waren Zahl der Vollgeschwister, Genfrequenz und der umweltbedingte Varianzanteil. Das vollstandige Modell war genauer als die beiden anderen. Der Unterschied war deutlicher, wenn die Dominanzvarianz im Vergleich zur additiven gros war (haufiges dominantes Allel). Dieser Unterschied wurde mit der Zahl der Vollgeschwister und der Umweltvarianz vergrosert. Die groste Differenz zwischen dem vollstandigen und den anderen Modellen betrug 8%. Die rezessive Allelfrequenz ist bei Produktionseigenschaften wahrscheinlich niedrig, wenn sie mit Fitness, wie z. B. Nachkommenanzahl, verknupft sind. Der Grosteil der genetischen Varianz dieser Eigenschaften kann also dominanzbedingt sein und Fortschritt kann in geringem Mase durch die Einbeziehung der Dominanzeffekte in die Zuchtwertschatzung gesteigert werden.