Evidence map›Paper›PMID 27723813›Full record

ArticlePloS one2016

Estimating KIR Haplotype Frequencies on a Cohort of 10,000 Individuals: A Comprehensive Study on Population Variations, Typing Resolutions, and Reference Haplotypes.

Cynthia Vierra-Green, David Roe, Jyothi Jayaraman, John Trowsdale, James Traherne, Rui Kuang, Stephen Spellman, Martin Maiers

Abstract read
In one paragraph

Article in PloS one, 2016. 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. OMIP-098: A 26 parameter, 24 color flow cytometry panel for human memory NK cell phenotyping.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2023
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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

8 authors.

Cynthia Vierra-GreenCenter for International Blood and Marrow Transplant Research, Minneapolis, Minnesota, United States of America.
David RoeBioinformatics Research, National Marrow Donor Program, Minneapolis, Minnesota, United States of America.
Jyothi JayaramanDepartment of Pathology, University of Cambridge, Cambridge, United Kingdom.
John TrowsdaleDepartment of Pathology, University of Cambridge, Cambridge, United Kingdom.
James TraherneDepartment of Pathology, University of Cambridge, Cambridge, United Kingdom.
Rui KuangDepartment of Computer Science and Engineering, University of Minnesota, Minneapolis, Minnesota, United States of America.
Stephen SpellmanCenter for International Blood and Marrow Transplant Research, Minneapolis, Minnesota, United States of America.
Martin MaiersBioinformatics Research, National Marrow Donor Program, Minneapolis, Minnesota, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The killer cell immunoglobulin-like receptors (KIR) mediate human natural killer (NK) cell cytotoxicity via activating or inhibiting signals. Although informative and functional haplotype patterns have been reported, most genotyping has been performed at resolutions that are structurally ambiguous. In order to leverage structural information given low-resolution genotypes, we performed experiments to quantify the effects of population variations, reference haplotypes, and genotyping resolutions on population-level haplotype frequency estimations as well as predictions of individual haplotypes. We genotyped 10,157 unrelated individuals in 5 populations (518 African American[AFA], 258 Asian or Pacific Islander[API], 8,245 European[EUR], 1,073 Hispanic[HIS], and 63 Native American[NAM]) for KIR gene presence/absence (PA), and additionally half of the AFA samples for KIR gene copy number variation (CNV). A custom EM algorithm was used to estimate haplotype frequencies for each population by interpretation in the context of three sets of reference haplotypes. The algorithm also assigns each individual the haplotype pairs of maximum likelihood. Generally, our haplotype frequency estimates agree with similar previous publications to within <5% difference for all haplotypes. The exception is that estimates for NAM from the U.S. showed higher frequency association of cB02 with tA01 (+14%) instead of tB01 (-8.5%) compared to a previous study of NAM from south of the U.S. The higher-resolution CNV genotyping on the AFA samples allowed unambiguous haplotype-pair assignments for the majority of individuals, resulting in a 22% higher median typing resolution score (TRS), which measures likelihood of self-match in the context of population-specific haplo- and geno-types. The use of TRS to quantify reduced ambiguity with CNV data clearly revealed the few individuals with ambiguous genotypes as outliers. It is observed that typing resolution and reference haplotype set influence haplotype frequency estimates. For example, PA resolution may be used with reference haplotype sets up to the point where certain haplotypes are gene-content subsets of others. At that point, CNV must be used for all genes.

Indexed as

Gene DosageGenotyping TechniquesHaplotypesCohort StudiesFemaleHumansMaleReceptors, KIRReceptors, KIR

Identifiers

PMID27723813
PMCPMC5056762

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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.