ArticleScientific reports2026
Identification and bioinformatic functional analysis of novel and known polymorphisms in the myostatin gene of Ukrainian Carpathian Mountain sheep.
Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
Abstract
Myostatin (MSTN) is a well-established negative regulator of muscle growth and development in mammals. Genetic variations within MSTN are linked to differences in sheep musculature, particularly the double-muscle phenotype. This study represents the first comprehensive polymorphism analysis within intron 1 of the MSTN in the Ukrainian Carpathian Mountain (UCM) sheep breed combining molecular and bioinformatic approaches. Sequencing data of samples from UCM sheep revealed eight previously reported single-nucleotide polymorphisms (c.373+241T>C, c.373+243G>A, c.373+246T>C, c.373+249T>C, c.373+259G>T, c.373+323C>T, c.373+563G>A, c.373+607G>A) and one novel polymorphism (c.373+283T>C). Bioinformatic analysis evaluated potential functional effects of these intronic polymorphisms, including changes in pre-mRNA stability, proximity to transcription factor binding sites, and possible pre-miRNA formation, using in silico approaches, including molecular dynamics simulations of predicted pre-miRNA structures. Predictions identified c.373+607G>A and the novel c.373+283T>C polymorphisms as potential candidates for further functional investigation and association studies. This study demonstrates the value of combining molecular genetic and bioinformatic approaches for characterizing intronic polymorphisms and supporting a deeper understanding of functional genetic variation in livestock.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.