Evidence map›Paper›PMID 35918364›Full record

ArticleScientific data2022

ExAgBov: A public database of annotated variations from hundreds of bovine whole-exome sequencing samples.

Rotem Raz, Zvi Roth, Moran Gershoni

Abstract readDataset
In one paragraph

Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Rotem RazDepartment of Ruminant Science, Institute of Animal Sciences, Agricultural Research Organization, The Volcani Center, Rishon LeZion, 7505101, Israel.
Zvi RothDepartment of Ruminant Science, Institute of Animal Sciences, Agricultural Research Organization, The Volcani Center, Rishon LeZion, 7505101, Israel.
Moran GershoniDepartment of Ruminant Science, Institute of Animal Sciences, Agricultural Research Organization, The Volcani Center, Rishon LeZion, 7505101, Israel. gmoran@volcani.agri.gov.il.ORCID 0000-0002-2179-0799

Funding

Israel Science Foundation (ISF) 946/19
6 · The paper itself

Abstract

Large reference datasets of annotated genetic variations from genome-scale sequencing are essential for interpreting identified variants, their functional impact, and their possible contribution to diseases and traits. However, to date, no such database of annotated variation from broad cattle populations is publicly available. To overcome this gap and advance bovine NGS-driven variant discovery and interpretation, we obtained and analyzed raw data deposited in the SRA public repository. Short reads from 262 whole-exome sequencing samples of Bos Taurus were mapped to the Bos Taurus ARS-UCD1.2 reference genome. The GATK best practice workflow was applied for variant calling. Comprehensive annotation of all recorded variants was done using the Ensembl Variant Effect Predictor (VEP). An in-depth analysis of the population structure revealed the breeds comprising the database. The Exomes Aggregate of Bovine- ExAgBov is a comprehensively annotated dataset of more than 20 million short variants, of which ~2% are located within open reading frames, splice regions, and UTRs, and more than 60,000 variants are predicted to be deleterious.

Indexed as

CattleDatabases, GeneticExome SequencingAnimalsChromosome MappingExomeHigh-Throughput Nucleotide SequencingINDEL MutationPolymorphism, Single Nucleotide

Identifiers

PMID35918364
PMCPMC9345876

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Registered trials

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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.