Evidence map›Paper›PMID 36238155›Full record

ArticleFrontiers in genetics2022

Favored single nucleotide variants identified using whole genome Re-sequencing of Austrian and Chinese cattle breeds.

Maulana M Naji, Yifan Jiang, Yuri T Utsunomiya, Benjamin D Rosen, Johann Sölkner, Chuduan Wang, Li Jiang, Qin Zhang, Yi Zhang, Xiangdong Ding and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 25% of its field
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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

11 authors at 4 institutions in 4 countries.

Maulana M NajiUniversity of Natural Resources and Life Sciences, Vienna, Austria.
Yifan JiangChina Agricultural University, Beijing, China.
Yuri T UtsunomiyaDepartment of Production and Animal Health, School of Veterinary Medicine, São Paulo State University (Unesp), Araçatuba, Brazil.
Benjamin D RosenAnimal Genomics and Improvement Laboratory, USDA-ARS, Beltsville, MD, United States.
Johann SölknerUniversity of Natural Resources and Life Sciences, Vienna, Austria.
Chuduan WangChina Agricultural University, Beijing, China.
Li JiangChina Agricultural University, Beijing, China.
Qin ZhangChina Agricultural University, Beijing, China.
Yi ZhangChina Agricultural University, Beijing, China.
Xiangdong DingChina Agricultural University, Beijing, China.
Gábor MészárosUniversity of Natural Resources and Life Sciences, Vienna, Austria.
China Agricultural University · CNBOKU University · ATAgricultural Research Service · USUniversidade Estadual Paulista (Unesp) · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cattle have been essential for the development of human civilization since their first domestication few thousand years ago. Since then, they have spread across vast geographic areas following human activities. Throughout generations, the cattle genome has been shaped with detectable signals induced by various evolutionary processes, such as natural and human selection processes and demographic events. Identifying such signals, called selection signatures, is one of the primary goals of population genetics. Previous studies used various selection signature methods and normalized the outputs score using specific windows, in kbp or based on the number of SNPs, to identify the candidate regions. The recent method of iSAFE claimed for high accuracy in pinpointing the candidate SNPs. In this study, we analyzed whole-genome resequencing (WGS) data of ten individuals from Austrian Fleckvieh (

Indexed as

bos indicusBos tauruscattlefstIHSiSAFEselection signaturewhole-genome sequence (WGS)

Identifiers

PMID36238155
PMCPMC9552183
OpenAlexW4297313725

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.