Evidence map›Paper›PMID 28356540›Full record

ArticleJournal of the Royal Society, Interface2017

Population genetics of immune-related multilocus copy number variation in Native Americans.

Luciana W Zuccherato, Silvana Schneider, Eduardo Tarazona-Santos, Robert J Hardwick, Douglas E Berg, Helen Bogle, Mateus H Gouveia, Lee R Machado, Moara Machado, Fernanda Rodrigues-Soares and 7 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

4 citing papers in PubMed, 11 citations in OpenAlex.

  1. Pitfalls When Determining HNA-1 Genotypes and Finding Novel Alleles.International journal of molecular sciences · 2024
    Article
  2. Article
  3. Frontiers in immunology · 2021
    Article
  4. 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

17 authors at 4 institutions in 4 countries.

Luciana W ZuccheratoDepartamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Silvana SchneiderDepartamento de Estatística, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Eduardo Tarazona-SantosDepartamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Robert J HardwickDepartment of Genetics, University of Leicester, Leicester, UK.
Douglas E BergDepartment of Molecular Microbiology, Washington University in Saint Louis School of Medicine, St Louis, MO, USA.
Helen BogleDepartment of Genetics, University of Leicester, Leicester, UK.
Mateus H GouveiaDepartamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Lee R MachadoDepartment of Genetics, University of Leicester, Leicester, UK.
Moara MachadoDepartamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Fernanda Rodrigues-SoaresDepartamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Giordano B Soares-SouzaDepartamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Diego L TogniDepartamento de Estatística, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Roxana ZamudioDepartamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Robert H GilmanJohns Hopkins School of Public Health, Johns Hopkins University, Baltimore, MD, USA.
Denise DuarteDepartamento de Estatística, Instituto de Ciências Exatas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Edward J HolloxDepartment of Genetics, University of Leicester, Leicester, UK.
Maíra R RodriguesDepartamento de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil maira.r.rodrigues@gmail.com.ORCID 0000-0003-3193-9558
Universidade Federal de Minas Gerais · BRUniversity of Leicester · GBJohns Hopkins University · USWashington University in St. Louis · US

Funding

Medical Research Council MR/K007467/1
6 · The paper itself

Abstract

While multiallelic copy number variation (mCNV) loci are a major component of genomic variation, quantifying the individual copy number of a locus and defining genotypes is challenging. Few methods exist to study how mCNV genetic diversity is apportioned within and between populations (i.e. to define the population genetic structure of mCNV). These inferences are critical in populations with a small effective size, such as Amerindians, that may not fit the Hardy-Weinberg model due to inbreeding, assortative mating, population subdivision, natural selection or a combination of these evolutionary factors. We propose a likelihood-based method that simultaneously infers mCNV allele frequencies and the population structure parameter

Indexed as

AllelesModels, GeneticPolymorphism, Single NucleotideFemaleGene FrequencyGenetic LociGenetics, PopulationHumansIndians, South AmericanMaleMultilocus Sequence TypingPeruAmerindiansgenomic structural variationimmunitypopulation structureprofiled-likelihood

Identifiers

PMID28356540
PMCPMC5378149
OpenAlexW2598790897

What OpenQuestion holds

Textmetadata
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.