Evidence map›Paper›PMID 33167493›Full record

ArticleGenes2020

Assessment of Imputation from Low-Pass Sequencing to Predict Merit of Beef Steers.

Warren M Snelling, Jesse L Hoff, Jeremiah H Li, Larry A Kuehn, Brittney N Keel, Amanda K Lindholm-Perry, Joseph K Pickrell

Abstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
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  5. Review
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  9. Viruses · 2025
    Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Recent advances in the genomic resources for sheep.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Review
  19. Article
  20. 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

7 authors.

Warren M SnellingU.S. Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE 68933, USA.ORCID 0000-0001-6282-9728
Jesse L HoffGencove, Inc., New York, NY 10016, USA.
Jeremiah H LiGencove, Inc., New York, NY 10016, USA.ORCID 0000-0002-9344-0237
Larry A KuehnU.S. Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE 68933, USA.
Brittney N KeelU.S. Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE 68933, USA.
Amanda K Lindholm-PerryU.S. Department of Agriculture, Agricultural Research Service, U.S. Meat Animal Research Center, Clay Center, NE 68933, USA.
Joseph K PickrellGencove, Inc., New York, NY 10016, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Decreasing costs are making low coverage sequencing with imputation to a comprehensive reference panel an attractive alternative to obtain functional variant genotypes that can increase the accuracy of genomic prediction. To assess the potential of low-pass sequencing, genomic sequence of 77 steers sequenced to >10X coverage was downsampled to 1X and imputed to a reference of 946 cattle representing multiple

Indexed as

Animal HusbandryAnimalsBreedingCattleGenomicsGenotypeMalePhenotypePolymorphism, Single NucleotideRed MeatSequence Analysis, DNAUnited Statesbeef cattlegenomic predictionimputationsequence

Identifiers

PMID33167493
PMCPMC7716200

What OpenQuestion holds

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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.