Jana Obsteter
Overview
Explore the profile of Jana Obsteter including associated specialties, affiliations and a list of published articles.
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11
Citations
132
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Recent Articles
1.
Lukic B, Raguz N, Kovacic M, Curik I, Obsteter J, Presern J, et al.
BMC Genomics
. 2024 Sep;
25(1):849.
PMID: 39256678
Background: Research into the genetic diversity of honey bee (Apis mellifera L.) populations has become increasingly significant in recent decades, primarily due to population declines attributed to human activities and...
2.
Lauterbur M, Cavassim M, Gladstein A, Gower G, Pope N, Tsambos G, et al.
Elife
. 2023 Jun;
12.
PMID: 37342968
Simulation is a key tool in population genetics for both methods development and empirical research, but producing simulations that recapitulate the main features of genomic datasets remains a major obstacle....
3.
Oliveira T, Obsteter J, Pocrnic I, Heslot N, Gorjanc G
Genet Sel Evol
. 2023 Jun;
55(1):36.
PMID: 37268883
Background: In breeding programmes, the observed genetic change is a sum of the contributions of different selection paths represented by groups of individuals. Quantifying these sources of genetic change is...
4.
Pocrnic I, Obsteter J, Gaynor R, Wolc A, Gorjanc G
Front Genet
. 2023 May;
14:1168212.
PMID: 37234871
Nucleus-based breeding programs are characterized by intense selection that results in high genetic gain, which inevitably means reduction of genetic variation in the breeding population. Therefore, genetic variation in such...
5.
Obsteter J, Strachan L, Bubnic J, Presern J, Gorjanc G
Genet Sel Evol
. 2023 May;
55(1):31.
PMID: 37161307
Background: The Western honeybee is an economically important species globally, but has been experiencing colony losses that lead to economical damage and decreased genetic variability. This situation is spurring additional...
6.
Obsteter J, Holl J, Hickey J, Gorjanc G
Genet Sel Evol
. 2021 Mar;
53(1):30.
PMID: 33736590
Background: In this paper, we present the AlphaPart R package, an open-source implementation of a method for partitioning breeding values and genetic trends to identify the contribution of selection pathways...
7.
Obsteter J, Jenko J, Gorjanc G
Front Genet
. 2021 Mar;
12:637017.
PMID: 33679899
This paper evaluates the potential of maximizing genetic gain in dairy cattle breeding by optimizing investment into phenotyping and genotyping. Conventional breeding focuses on phenotyping selection candidates or their close...
8.
Clarke T, Obsteter J, Hall L, Hayward C, Thomson P, Smith B, et al.
Am J Med Genet B Neuropsychiatr Genet
. 2016 Aug;
174(3):227-234.
PMID: 27480393
Type II diabetes (T2D) and major depressive disorder (MDD) are often co-morbid. The reasons for this co-morbidity are unclear. Some studies have highlighted the importance of environmental factors and a...
9.
Zorc M, Obsteter J, Dovc P, Kunej T
J Genomics
. 2015 Apr;
3:51-6.
PMID: 25874014
MicroRNAs (miRNA) are a class of non-coding RNAs important in posttranscriptional regulation of target genes. Previous studies have proven that genetic variability of miRNA genes (miR-SNP) has an impact on...
10.
Obsteter J, Dovc P, Kunej T
Mol Genet Genomic Med
. 2015 Jan;
3(1):30-9.
PMID: 25629077
MicroRNAs are currently being extensively studied due to their important role as post-transcriptional regulators. During miRNA biogenesis, precursors undergo two cleavage steps performed by Drosha-DGCR8 (Microprocessor) cleaving of pri-miRNA to...