Evidence map›Paper›PMID 21907785›Full record

ArticleGenomics2011

4040 SNPs for genomic analysis in the rhesus macaque (Macaca mulatta).

J Satkoski Trask, W T Garnica, S Kanthaswamy, R S Malhi, D G Smith

Open access · greenAbstract readComparative StudyValidation Study
In one paragraph

Article in Genomics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 15 citations in OpenAlex.

  1. DNA-based Determination of Ancestry in Cynomolgus Macaques (Journal of the American Association for Laboratory Animal Science : JAALAS · 2018
    Article
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  3. Genetic Characterization of a Captive Colony of Pigtailed Macaques (Journal of the American Association for Laboratory Animal Science : JAALAS · 2017
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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 2 institutions in 1 country.

J Satkoski TraskDepartment of Anthropology, University of California, Davis, USA. jasatkoski@ucdavis.edu
W T Garnica
S Kanthaswamy
R S Malhi
D G Smith
University of California, Davis · USUniversity of Illinois Urbana-Champaign · US

Funding

GENETIC MANAGEMENT OF MECAQUES BY DNA RFLP ANALYSISR24RR005090 · NCRR · UNIVERSITY OF CALIFORNIA DAVIS · PI SMITH, DAVID GLENN · 1988 to 2011
$3.7M
Development, Management and Use of a SNP Map for Rhesus MacaqueR24RR025871 · NCRR · UNIVERSITY OF CALIFORNIA AT DAVIS · PI SMITH, DAVID GLENN · 2009 to 2011
$1.6M
NCRR NIH HHS R24 RR005090NCRR NIH HHS R24RR005090NCRR NIH HHS R24 RR025871NCRR NIH HHS R24RR025871
6 · The paper itself

Abstract

Although the rhesus macaque (Macaca mulatta) is commonly used for biomedical research and becoming a preferred model for translational medicine, quantification of genome-wide variation has been slow to follow the publication of the genome in 2007. Here we report the properties of 4040 single nucleotide polymorphisms discovered and validated in Chinese and Indian rhesus macaques from captive breeding colonies in the United States. Frequency-matched measures of linkage disequilibrium were much greater in the Indian sample. Although the majority of polymorphisms were shared between the two populations, rare alleles were over twice as common in the Chinese sample. Indian rhesus had higher rates of heterozygosity, as well as previously undetected substructure, potentially due to admixture from Burma in wild populations and demographic events post-captivity.

Indexed as

Linkage DisequilibriumPolymorphism, Single NucleotideAllelesAnimalsChinaChromosomes, MammalianGenetic MarkersHeterozygoteIndiaMacaca mulattaPrincipal Component AnalysisSequence Analysis, DNASex ChromosomesGenetic Markers

Identifiers

PMID21907785
PMCPMC3207016
OpenAlexW2016002097

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.