A5012726411- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Genetics and Plant Breeding
- Animal Nutrition and Physiology
- Livestock and Poultry Management
- Effects of Environmental Stressors on Livestock
- Animal Behavior and Welfare Studies
- Genetic Associations and Epidemiology
- Cancer-related molecular mechanisms research
- Nutrition, Genetics, and Disease
- Gene expression and cancer classification
- Animal Genetics and Reproduction
- Reproductive Physiology in Livestock
- Biomedical Text Mining and Ontologies
- Evolution and Genetic Dynamics
- RNA and protein synthesis mechanisms
- Digestive system and related health
- Machine Learning in Bioinformatics
- Esophageal and GI Pathology
- Milk Quality and Mastitis in Dairy Cows
- Livestock Farming and Management
- Bioinformatics and Genomic Networks
- Peatlands and Wetlands Ecology
- Genomics and Rare Diseases
Bavarian State Research Center for Agriculture
2015-2022
University of Göttingen
2010-2018
Achieving accurate genomic estimated breeding values for dairy cattle requires a very large reference population of genotyped and phenotyped individuals. Assembling such populations has been achieved breeds as Holstein, but is challenging with fewer An alternative to use multi-breed population, that smaller gain some advantage in accuracy (GEBV) from information larger breeds. However, this marker-quantitative trait loci associations persist across Here, we assessed the GEBV Jersey result...
Utilizing the whole genomic variation of complex traits to predict yet-to-be observed phenotypes or unobserved genetic values via genome prediction (WGP) and infer underlying architecture wide association study (GWAS) is an interesting fast developing area in context human disease studies as well animal plant breeding. Though thousands significant loci for several species were detected GWAS past decade, they not used directly improve WGP due lack proper models. Here, we propose a generalized...
Obtaining accurate predictions of unobserved genetic or phenotypic values for complex traits in animal, plant, and human populations is possible through whole-genome prediction (WGP), a combined analysis genotypic data. Because the underlying architecture trait interest an important factor affecting model selection, we propose new strategy, termed BLUP|GA (BLUP-given architecture), which can use information within dataset at hand rather than from public sources. This achieved by using...
Epistasis marker effect models incorporating products of values as predictor variables in a linear regression approach (extended GBLUP, EGBLUP) have been assessed potentially beneficial for genomic prediction, but their performance depends on coding. Although this fact has recognized literature, the nature problem not thoroughly investigated so far. We illustrate how choice coding implicitly specifies model effects certain allele combinations at different loci contribute to phenotype, and...
With the availability of next-generation sequencing technologies, genomic prediction based on whole-genome (WGS) data is now feasible in animal breeding schemes and was expected to lead higher predictive ability, since such may contain all variants including causal mutations. Our objective compare ability with high-density (HD) array WGS a commercial brown layer line best linear unbiased (GBLUP) models using various approaches weight single nucleotide polymorphisms (SNPs).A total 892...
Prediction of genomic breeding values is major practical relevance in dairy cattle breeding. Deterministic equations have been suggested to predict the accuracy a given design which are based on training set size, reliability phenotypes, and number independent chromosome segments (). The aim our study was find general deterministic equation for average that also accounts marker density can be fitted empirically. Two data sets 5′698 Holstein Friesian bulls genotyped with 50 K SNPs 1′332 Brown...
The number of piglets born alive (NBA) per litter is one the most important traits in pig breeding due to its influence on production efficiency. It difficult improve NBA because heritability trait low and it governed by a high loci with moderate effects. To clarify biological genetic background NBA, genome-wide association studies (GWAS) were performed using 4,012 Large White Landrace pigs from herdbook commercial companies Germany (3), Austria (1) Switzerland (1). animals genotyped...
Genomic data provide a valuable source of information for modeling covariance structures, allowing more accurate prediction total genetic values (GVs). We apply the kriging concept, originally developed in geostatistical context predictions low-dimensional space, to high-dimensional space spanned by genomic single nucleotide polymorphism (SNP) vectors and study its properties different gene-action scenarios. Two methods ["universal kriging" (UK) "simple (SK)] are presented. As novelty, we...
The objective of this study was to estimate the contribution each autosome genetic variation milk yield, fat, and protein percentage somatic cell score in Holstein cattle. Data on 2294 bulls genotyped for 39,557 autosomal markers were used. Three approaches applied proportion variance attributed chromosome. In two them, marker-derived kinship coefficients computed, using either marker genotypes observed whole genome or subsets relative Variance components then estimated residual maximum...
Identifying signatures of selection can provide valuable insight about the genes or genomic regions that are have been under selective pressure, which lead to a better understanding genotype-phenotype relationships. A common strategy for signature detection is compare samples from several populations and search with outstanding genetic differentiation. Wright's fixation index, FST, useful index evaluation differentiation between populations. The aim this study was detect different chicken...
This study aimed at (1) assessing the genomic stratification of experimental lines Nelore cattle that have experienced different selection regimes for growth traits, and (2) identifying regions undergone recent selection. We used a sample 763 animals genotyped with Illumina BovineHD BeadChip, among which 674 originated from two are maintained under directional increased yearling body weight 89 control line is stabilizing Multidimensional analysis dissimilarity matrix admixture revealed...
An increasing interest is being placed in the detection of genes, or genomic regions, that have been targeted by selection because identifying signatures can lead to a better understanding genotype-phenotype relationships. A common strategy for compare samples from distinct populations and search regions with outstanding genetic differentiation. The aim this study was detect selective layer chicken using recently proposed approach, hapFLK, which exploits linkage disequilibrium information...
The technical progress in the last decade has made it possible to sequence millions of DNA reads a relatively short time frame. Several variant callers based on different algorithms have emerged and extract single nucleotide polymorphisms (SNPs) out whole-genome sequence. Often, only few individuals population are sequenced completely imputation is used obtain genotypes for all sequence-based SNP loci other individuals, which been genotyped subset SNPs using genotyping array. First, we...
Abstract Important traits are often controlled by a large number of genes that each impact small proportion total variation; however, the majority tools in population genomics designed to identify single genes...
Variance components (VC) were estimated for the semen production trait ejaculate volume, sperm concentration and motility in Swiss cattle breeds Brown (BS), Original Braunvieh (OB), Holstein (HO), Red-Factor-Carrier (RF), Red (RH), Fleckvieh (SF) Simmental (SI). For this purpose, traits from 2,617 bulls with 124,492 records used. The data collected years 2000-2012. model genetic parameter estimation across all included fixed effects age of bull at collection, year month number collection per...
The understanding of non-random association between loci, termed linkage disequilibrium (LD), plays a central role in genomic research. Since causal mutations are generally not included marker data, LD those and available markers is essential for capturing the effects loci on localizing genes responsible traits. Thus, interpretation studies requires detailed knowledge patterns. It well known that most measures depend minor allele frequencies (MAF) considered magnitude influenced by physical...
Summary Simulations are a major tool to evaluate new statistical methods and optimize experimental designs in the genomic era. However, this can only be achieved when simulations close enough reality, as well diverse realistic. For mapping studies, it is thus critical re‐create much possible forces generating linkage (mutation, random drift, changes population sizes, selection pedigree structure) mechanisms producing trait genetic architecture (additivity, dominance, epistasis). We present...
Summary The availability of genomic information demands proper evaluation on how the kind (phenotypic versus genomic) and amount influences interplay heritability ( h 2 ), genetic correlation ) economic weighting traits with regard to standard deviation index σ I ). As is directly proportional response selection, it was chosen parameter for comparing indices. Three selection indices incorporating conventional a two trait i j breeding goal were compared. Information sources corresponding pig...