Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Iulia Blaj"'
Publikováno v:
BMC Genomics, Vol 23, Iss 1, Pp 1-14 (2022)
Abstract Background Structural variants and tandem repeats are relevant sources of genomic variation that are not routinely analyzed in genome wide association studies mainly due to challenging identification and genotyping. Here, we profiled these v
Externí odkaz:
https://doaj.org/article/03a51112bf42463b8a381a393b39f354
GWAS for Meat and Carcass Traits Using Imputed Sequence Level Genotypes in Pooled F2-Designs in Pigs
Autor:
Clemens Falker-Gieske, Iulia Blaj, Siegfried Preuß, Jörn Bennewitz, Georg Thaller, Jens Tetens
Publikováno v:
G3: Genes, Genomes, Genetics, Vol 9, Iss 9, Pp 2823-2834 (2019)
In order to gain insight into the genetic architecture of economically important traits in pigs and to derive suitable genetic markers to improve these traits in breeding programs, many studies have been conducted to map quantitative trait loci. Shor
Externí odkaz:
https://doaj.org/article/691f4a947d9143eb8fcdbb1a88e252a7
Publikováno v:
PLoS ONE, Vol 13, Iss 10, p e0205576 (2018)
Genome-wide association studies (GWAS) have been widely used in the genetic dissection of complex traits. As more genomic data is being generated within different commercial or resource pig populations, the challenge which arises is how to collective
Externí odkaz:
https://doaj.org/article/0df4e0bfede84beeb19661a312e71c94
Publikováno v:
Animal geneticsREFERENCES. 53(5)
Since domestication, a wide variety of phenotypes including coat color variation has developed in livestock. This variation is mostly based on selective breeding. During the beginning of selective breeding, potential negative consequences did not bec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f13f25b6535920c636784a461f38ffb6
https://pubmed.ncbi.nlm.nih.gov/35811453
https://pubmed.ncbi.nlm.nih.gov/35811453
Autor:
Sarah Vosgerau, Nina Krattenmacher, Clemens Falker-Gieske, Anita Seidel, Jens Tetens, Kathrin F. Stock, Wietje Nolte, Mirell Wobbe, Iulia Blaj, Reinhard Reents, Christa Kühn, Mario von Depka Prondzinski, Ernst Kalm, Georg Thaller
Publikováno v:
Journal of applied genetics. 63(2)
Reliability of genomic predictions is influenced by the size and genetic composition of the reference population. For German Warmblood horses, compilation of a reference population has been enabled through the cooperation of five German breeding asso
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb52f3dacf9b4a874a846e43ce54468b
https://pubmed.ncbi.nlm.nih.gov/35028913
https://pubmed.ncbi.nlm.nih.gov/35028913
Autor:
Patrick Stratz, Robin Wellmann, Iulia Blaj, Jens Tetens, Jörn Bennewitz, Siegfried Preuß, Georg Thaller, Markus Schmid
Publikováno v:
Animal Genetics. 49:403-412
In the present study, data from four F2 crosses were analysed and used to study the linkage disequilibrium (LD) structure within and across the crosses. Genome-wide association analyses (GWASes) for conductivity and dressing out meat traits were cond
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a5014a0c1f43899e04a34d790afbaa2
https://doi.org/10.1111/age.12684
https://doi.org/10.1111/age.12684
Publikováno v:
PLoS ONE, Vol 13, Iss 10, p e0205576 (2018)
PLoS ONE
PLoS ONE
Genome-wide association studies (GWAS) have been widely used in the genetic dissection of complex traits. As more genomic data is being generated within different commercial or resource pig populations, the challenge which arises is how to collective
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd6db8ad96cbd6828b0f27df0ece2177
http://europepmc.org/articles/PMC6181390?pdf=render
http://europepmc.org/articles/PMC6181390?pdf=render
Autor:
Niklas Klümper, Iulia Blajan, Doris Schmidt, Glen Kristiansen, Marieta Toma, Michael Hölzel, Manuel Ritter, Jörg Ellinger
Publikováno v:
Translational Oncology, Vol 13, Iss 11, Pp 100844- (2020)
A precise stratification of our patients is essential and can support clinicians to determine the right therapy. The aim of this study was to identify clinically relevant genes using The Cancer Genome Atlas (TCGA) datasets.A comprehensive pan-cancer
Externí odkaz:
https://doaj.org/article/90a92a5820ff4beab7f3f39ecdc2e2e6