Evidence map›Paper›PMID 32953080›Full record

ArticleEcology and evolution2020

Power of a dual-use SNP panel for pedigree reconstruction and population assignment.

Samuel A May, Garrett J McKinney, Ray Hilborn, Lorenz Hauser, Kerry A Naish

Abstract read
In one paragraph

Article in Ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. A Practical Framework for GT-Seq Panel Optimization.Molecular ecology resources · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. 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

5 authors.

Samuel A MaySchool of Aquatic and Fishery Sciences University of Washington Seattle WA USA.ORCID https://orcid.org/0000-0002-5312-140X
Garrett J McKinneyNRC Research Associateship Program Northwest Fisheries Science Center National Marine Fisheries Service National Oceanic and Atmospheric Administration Seattle WA USA.ORCID https://orcid.org/0000-0002-6267-2203
Ray HilbornSchool of Aquatic and Fishery Sciences University of Washington Seattle WA USA.ORCID https://orcid.org/0000-0003-2326-2305
Lorenz HauserSchool of Aquatic and Fishery Sciences University of Washington Seattle WA USA.ORCID https://orcid.org/0000-0002-9238-654X
Kerry A NaishSchool of Aquatic and Fishery Sciences University of Washington Seattle WA USA.ORCID https://orcid.org/0000-0002-3275-8778

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of high-throughput, low-density sequencing approaches has dramatically increased in recent years in studies of eco-evolutionary processes in wild populations and domestication in commercial aquaculture. Most of these studies focus on identifying panels of SNP loci for a single downstream application, whereas there have been few studies examining the trade-offs for selecting panels of markers for use in multiple applications. Here, we detail the use of a bioinformatic workflow for the development of a dual-purpose SNP panel for parentage and population assignment, which included identifying putative SNP loci, filtering for the most informative loci for the two tasks, designing effective multiplex PCR primers, optimizing the SNP panel for performance, and performing quality control steps for downstream applications. We applied this workflow to two adjacent Alaskan Sockeye Salmon populations and identified a GTseq panel of 142 SNP loci for parentage and 35 SNP loci for population assignment. Only 50-75 panel loci were necessary for >95% accurate parentage, whereas population assignment success, with all 172 panel loci, ranged from 93.9% to 96.2%. Finally, we discuss the trade-offs and complexities of the decision-making process that drives SNP panel development, optimization, and testing.

Indexed as

amplicon panelGTseqparentagepopulation assignmentSockeye

Identifiers

PMID32953080
PMCPMC7487233

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.