ArticleAdvances and applications in bioinformatics and chemistry : AABC2017
Prioritizing single-nucleotide polymorphisms and variants associated with clinical mastitis.
Article in Advances and applications in bioinformatics and chemistry : AABC, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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
5 citing papers in PubMed, 8 citations in OpenAlex.
- Identification and Classification of Long Non-Coding RNAs in the Mammary Gland of the Holstein Cow.International journal of molecular sciences · 2023Article
- Candidate genes for mastitis resistance in dairy cattle: a data integration approach.Journal of animal science and biotechnology · 2023Article
- Adjustment ofFrontiers in genetics · 2023Article
- Emerging Roles of Noncoding RNAs in Bovine Mastitis Diseases.Pathogens (Basel, Switzerland) · 2022Review
- Genome-Wide DNA Methylation Analysis of Mammary Gland Tissues From Chinese Holstein Cows WithFrontiers in genetics · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Next-generation sequencing technology has provided resources to easily explore and identify candidate single-nucleotide polymorphisms (SNPs) and variants. However, there remains a challenge in identifying and inferring the causal SNPs from sequence data. A problem with different methods that predict the effect of mutations is that they produce false positives. In this hypothesis, we provide an overview of methods known for identifying causal variants and discuss the challenges, fallacies, and prospects in discerning candidate SNPs. We then propose a three-point classification strategy, which could be an additional annotation method in identifying causalities.
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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.