Evidence map›Paper›PMID 26729255›Full record

ReviewNature reviews. Genetics2016

Harnessing the power of RADseq for ecological and evolutionary genomics.

Kimberly R Andrews, Jeffrey M Good, Michael R Miller, Gordon Luikart, Paul A Hohenlohe

Open access · greenAbstract readReview
In one paragraph

Review in Nature reviews. Genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 515 papers.

0numbers the graph read from it
0cells of the map it votes in
515citing papers in PubMed
92.1field-weighted citation impact, top 1% 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

515 citing papers in PubMed, 1,513 citations in OpenAlex.

  1. Article
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  4. Inversion characterization inbioRxiv : the preprint server for biology · 2026
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  7. Review
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  12. Advances in mutant characterization for detecting causal mutations in crop plants.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  13. Article
  14. Article
  15. Article
  16. Population Genetic Structure of the Endangered Long-Tailed Goral (Animals : an open access journal from MDPI · 2026
    Article
  17. Article
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  19. Article
  20. Methods to estimate marine functional connectivity: A primer.Ecological applications : a publication of the Ecological Society of America · 2026
    Review

455 more citing papers are in PubMed but not listed here.

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 at 3 institutions in 1 country.

Kimberly R AndrewsDepartment of Fish and Wildlife Sciences, University of Idaho, 875 Perimeter Drive MS 1136, Moscow, Idaho 83844-1136, USA.
Jeffrey M GoodUniversity of Montana, Division of Biological Sciences, 32 Campus Dr. HS104, Missoula, Montana 59812, USA.
Michael R MillerDepartment of Animal Science, University of California, One Shields Avenue, Davis, California 95616, USA.
Gordon LuikartFlathead Lake Biological Station, Fish and Wildlife Genomics Group, Division of Biological Sciences, University of Montana, Polson, Montana 59860, USA.
Paul A HohenloheInstitute for Bioinformatics and Evolutionary Studies, Department of Biological Sciences, University of Idaho, Moscow, Idaho 83843, USA.
University of Idaho · USUniversity of Montana · USUniversity of California, Davis · US

Funding

Genomics Resources Core (GRC)P30GM103324 · NIGMS · UNIVERSITY OF IDAHO · PI FORNEY, LARRY J · 2013 to 2017
$5.0M
Evolutionary and Functional Genetics of Male Reproduction using Wild Mice as a MoR01GM098536 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI DEAN, MATTHEW D · 2012 to 2016
$1.5M
Meiotic sex chromosome inactivation and the developmental basis of hybrid male stR01HD073439 · NICHD · UNIVERSITY OF MONTANA · PI GOOD, JEFFREY · 2012 to 2016
$1.5M
NICHD NIH HHS R01 HD073439NICHD NIH HHS R01HD73439NIGMS NIH HHS P30 GM103324NIGMS NIH HHS R01 GM098536NIGMS NIH HHS R01GM098536
6 · The paper itself

Abstract

High-throughput techniques based on restriction site-associated DNA sequencing (RADseq) are enabling the low-cost discovery and genotyping of thousands of genetic markers for any species, including non-model organisms, which is revolutionizing ecological, evolutionary and conservation genetics. Technical differences among these methods lead to important considerations for all steps of genomics studies, from the specific scientific questions that can be addressed, and the costs of library preparation and sequencing, to the types of bias and error inherent in the resulting data. In this Review, we provide a comprehensive discussion of RADseq methods to aid researchers in choosing among the many different approaches and avoiding erroneous scientific conclusions from RADseq data, a problem that has plagued other genetic marker types in the past.

Indexed as

Biological EvolutionGenomicsHigh-Throughput Nucleotide SequencingHumansMetagenomicsRestriction Mapping

Identifiers

PMID26729255
PMCPMC4823021
OpenAlexW2263977295

What OpenQuestion holds

Textmetadata
LicenceTDM
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.