Evidence map›Paper›PMID 22747632›Full record

ArticleBMC genetics2012

The rhesus macaque is three times as diverse but more closely equivalent in damaging coding variation as compared to the human.

Qiaoping Yuan, Zhifeng Zhou, Stephen G Lindell, J Dee Higley, Betsy Ferguson, Robert C Thompson, Juan F Lopez, Stephen J Suomi, Basel Baghal, Maggie Baker and 3 more

Open access · diamondAbstract readComparative Study
In one paragraph

Article in BMC genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

23 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
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  4. Genomic resources for rhesus macaques (Macaca mulatta).Mammalian genome : official journal of the International Mammalian Genome Society · 2022
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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

13 authors at 5 institutions in 1 country.

Qiaoping YuanLaboratory of Neurogenetics, National Institute on Alcohol Abuse and Alcoholism, NIH, Bethesda, MD 20892, USA.
Zhifeng Zhou
Stephen G Lindell
J Dee Higley
Betsy Ferguson
Robert C Thompson
Juan F Lopez
Stephen J Suomi
Basel Baghal
Maggie Baker
Deborah C Mash
Christina S Barr
David Goldman
National Institutes of Health · USNational Institute on Alcohol Abuse and Alcoholism · USUniversity of Michigan–Ann Arbor · USOregon National Primate Research Center · USUniversity of Miami · US

Funding

Integrative genetics of behavior with high throughput technologiesZIAAA000301 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI GOLDMAN, DAVID · 2009 to 2025
$68.6M
Cross-Species Genetic and Epigenetic Studies of Stress Response and RewardZIAAA000311 · NIAAA · NATIONAL INSTITUTE ON ALCOHOL ABUSE AND ALCOHOLISM · PI BARR, CHRISTINA · 2010 to 2020
$14.0M
Developmental Continuity Of Individual Differences In Reactivity In MonkeysZIAHD001106 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI SUOMI, STEPHEN J. · 2009 to 2018
$8.8M
Intramural NIH HHS Z99 AA999999
6 · The paper itself

Abstract

backgroundAs a model organism in biomedicine, the rhesus macaque (Macaca mulatta) is the most widely used nonhuman primate. Although a draft genome sequence was completed in 2007, there has been no systematic genome-wide comparison of genetic variation of this species to humans. Comparative analysis of functional and nonfunctional diversity in this highly abundant and adaptable non-human primate could inform its use as a model for human biology, and could reveal how variation in population history and size alters patterns and levels of sequence variation in primates.

resultsWe sequenced the mRNA transcriptome and H3K4me3-marked DNA regions in hippocampus from 14 humans and 14 rhesus macaques. Using equivalent methodology and sampling spaces, we identified 462,802 macaque SNPs, most of which were novel and disproportionately located in the functionally important genomic regions we had targeted in the sequencing. At least one SNP was identified in each of 16,797 annotated macaque genes. Accuracy of macaque SNP identification was conservatively estimated to be >90%. Comparative analyses using SNPs equivalently identified in the two species revealed that rhesus macaque has approximately three times higher SNP density and average nucleotide diversity as compared to the human. Based on this level of diversity, the effective population size of the rhesus macaque is approximately 80,000 which contrasts with an effective population size of less than 10,000 for humans. Across five categories of genomic regions, intergenic regions had the highest SNP density and average nucleotide diversity and CDS (coding sequences) the lowest, in both humans and macaques. Although there are more coding SNPs (cSNPs) per individual in macaques than in humans, the ratio of dN/dS is significantly lower in the macaque. Furthermore, the number of damaging nonsynonymous cSNPs (have damaging effects on protein functions from PolyPhen-2 prediction) in the macaque is more closely equivalent to that of the human.

conclusionsThis large panel of newly identified macaque SNPs enriched for functionally significant regions considerably expands our knowledge of genetic variation in the rhesus macaque. Comparative analysis reveals that this widespread, highly adaptable species is approximately three times as diverse as the human but more closely equivalent in damaging variation.

Indexed as

Genetic VariationAdultAnimalsHumansMacaca mulattaMaleMiddle AgedOligonucleotide Array Sequence AnalysisPolymorphism, Single Nucleotide

Identifiers

PMID22747632
PMCPMC3426462
OpenAlexW2074639016

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.