Evidence map›Paper›PMID 34048057›Full record

ArticleBiometrics2022

A multiview model for relative and absolute microbial abundances.

Brian D Williamson, James P Hughes, Amy D Willis

Abstract read
In one paragraph

Article in Biometrics, 2022. 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
–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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. The mosquito microbiome includes habitat-specific but rare symbionts.Computational and structural biotechnology journal · 2022
    Article
  8. Article
  9. Article
  10. Article
  11. 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

3 authors.

Brian D WilliamsonDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-7024-548X
James P HughesDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.ORCID 0000-0001-5034-3157
Amy D WillisDepartment of Biostatistics, University of Washington, Seattle, Washington, USA.ORCID 0000-0002-2802-4317

Funding

Urethral microbiome and non-gonococcal urethritis in men who have sex with men (MU19AI113173 · NIAID · UNIVERSITY OF WASHINGTON · PI MARRAZZO, JEANNE M · 2014 to 2018
$14.3M
Statistical methods to enhance reproducible microbiome discoveryR35GM133420 · NIGMS · UNIVERSITY OF WASHINGTON · PI Amy D Willis · 2019 to 2026
$2.8M
NIAID NIH HHS U19 AI113173NIGMS NIH HHS R35 GM133420Office of the NIH Director S10 OD02865
6 · The paper itself

Abstract

The absolute abundance of bacterial taxa in human host-associated environments plays a critical role in reproductive and gastrointestinal health. However, obtaining the absolute abundance of many bacterial species is typically prohibitively expensive. In contrast, relative abundance data for many species are comparatively cheap and easy to collect (e.g., with universal primers for the 16S rRNA gene). In this paper, we propose a method to jointly model relative abundance data for many taxa and absolute abundance data for a subset of taxa. Our method provides point and interval estimates for the absolute abundance of all taxa. Crucially, our proposal accounts for differences in the efficiency of taxon detection in the relative and absolute abundance data. We show that modeling taxon-specific efficiencies substantially reduces the estimation error for absolute abundance, and controls the coverage of interval estimators. We demonstrate the performance of our proposed method via a simulation study, a study of the effect of HIV acquisition on microbial abundances, and a sensitivity study where we jackknife the taxa with observed absolute abundances.

Indexed as

BacteriaHigh-Throughput Nucleotide SequencingHumansRNA, Ribosomal, 16SRNA, Ribosomal, 16SBayesian estimationgenomicshierarchical modelinghigh throughput sequencingmicrobiome

Identifiers

PMID34048057
PMCPMC8982138

What OpenQuestion holds

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LicenceCC BY
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.