Evidence map›Paper›PMID 26092298›Full record

ArticleBMC biology2015

Sequencing strategies and characterization of 721 vervet monkey genomes for future genetic analyses of medically relevant traits.

Yu S Huang, Vasily Ramensky, Susan K Service, Anna J Jasinska, Yoon Jung, Oi-Wa Choi, Rita M Cantor, Nikoleta Juretic, Jessica Wasserscheid, Jay R Kaplan and 8 more

Abstract read
In one paragraph

Article in BMC biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. A Fine-Scale Genetic Map for Vervet Monkeys.Molecular biology and evolution · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. 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

18 authors.

Yu S HuangCenter for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Vasily RamenskyCenter for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Susan K ServiceCenter for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Anna J JasinskaCenter for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Yoon JungCenter for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Oi-Wa ChoiCenter for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, 90095, USA.
Rita M CantorDepartment of Human Genetics, University of California, Los Angeles, CA, 90095, USA.
Nikoleta JureticDepartment of Human Genetics, McGill University, Montreal, Canada.
Jessica WasserscheidDepartment of Human Genetics, McGill University, Montreal, Canada.
Jay R KaplanDepartment of Pathology, Section on Comparative Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157-1040, USA.
Matthew J JorgensenDepartment of Pathology, Section on Comparative Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, NC, 27157-1040, USA.
Thomas D DyerSouth Texas Diabetes and Obesity Institute, UTHSCSA/UTRGV, Brownsville, TX, USA.
Ken DewarDepartment of Human Genetics, McGill University, Montreal, Canada.
John BlangeroSouth Texas Diabetes and Obesity Institute, UTHSCSA/UTRGV, Brownsville, TX, USA.
Richard K WilsonThe Genome Institute, Washington University School of Medicine, Genome Sequencing Center, St. Louis, MO, 63108, USA.
Wesley WarrenThe Genome Institute, Washington University School of Medicine, Genome Sequencing Center, St. Louis, MO, 63108, USA.
George M WeinstockThe Jackson Laboratory for Genomic Medicine, Farmington, CT, 06001, USA.
Nelson B FreimerCenter for Neurobehavioral Genetics, University of California Los Angeles, Los Angeles, CA, 90095, USA. nfreimer@mednet.ucla.edu.

Funding

Vervet Research Colony as a Biomedical ResourceP40OD010965 · OD · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI Matthew Jorgensen · 2012 to 2026
$14.6M
Vervet Monkey (Cercopithecus Aethiops) Genetic MapR01RR016300 · NCRR · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FREIMER, NELSON B. · 2002 to 2011
$6.3M
VERVET RESEARCH COLONY AS A BIOMEDICAL RESOURCE: AIDSP40RR019963 · NCRR · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI KAPLAN, JAY ROSS · 2005 to 2011
$6.2M
Integrated Genetic and Genomic Resources for a Model SystemR01OD010980 · OD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI FREIMER, NELSON B. · 2012 to 2012
$741k
NCRR NIH HHS P40 RR019963NCRR NIH HHS R01 RR016300NHGRI NIH HHS 5U54HG00307907NIH HHS P40 OD010965NIH HHS P40RR019963/OD010965NIH HHS R01 OD010980NIH HHS R01RR016300/OD010980
6 · The paper itself

Abstract

backgroundWe report here the first genome-wide high-resolution polymorphism resource for non-human primate (NHP) association and linkage studies, constructed for the Caribbean-origin vervet monkey, or African green monkey (Chlorocebus aethiops sabaeus), one of the most widely used NHPs in biomedical research. We generated this resource by whole genome sequencing (WGS) of monkeys from the Vervet Research Colony (VRC), an NIH-supported research resource for which extensive phenotypic data are available.

resultsWe identified genome-wide single nucleotide polymorphisms (SNPs) by WGS of 721 members of an extended pedigree from the VRC. From high-depth WGS data we identified more than 4 million polymorphic unequivocal segregating sites; by pruning these SNPs based on heterozygosity, quality control filters, and the degree of linkage disequilibrium (LD) between SNPs, we constructed genome-wide panels suitable for genetic association (about 500,000 SNPs) and linkage analysis (about 150,000 SNPs). To further enhance the utility of these resources for linkage analysis, we used a further pruned subset of the linkage panel to generate multipoint identity by descent matrices.

conclusionsThe genetic and phenotypic resources now available for the VRC and other Caribbean-origin vervets enable their use for genetic investigation of traits relevant to human diseases.

Indexed as

Linkage DisequilibriumPolymorphism, Single NucleotideAnimalsChlorocebus aethiopsChromosome MappingFemaleGenome-Wide Association StudyGenotypeHumansMaleMicrosatellite RepeatsPhenotypeQuantitative Trait LociSequence Analysis

Identifiers

PMID26092298
PMCPMC4494155

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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.