Evidence map›Paper›PMID 30197908›Full record

ArticleGenes & diseases2017

Hypothesis Testing and Statistical Analysis of Microbiome.

Yinglin Xia, Jun Sun

Abstract read
In one paragraph

Article in Genes & diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing 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

92 citing papers in PubMed.

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  14. Computational and structural biotechnology journal · 2025
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32 more citing papers are in PubMed but not listed here.

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

2 authors.

Yinglin XiaDivision of Academic Internal Medicine and Geriatrics, Department of Medicine University of Illinois at Chicago, Chicago, IL.
Jun SunDivision of Gastroenterology and Hepatology, Department of Medicine University of Illinois at Chicago, Chicago, IL.

Funding

How Vitamin D Receptor Influences Intestinal BarriersR01DK114126 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Jun Sun · 2018 to 2026
$3.0M
Vitamin D Receptor Regulation of Microbiota in Intestinal EpitheliaR01DK105118 · NIDDK · UNIVERSITY OF ILLINOIS AT CHICAGO · PI SUN, JUN · 2016 to 2020
$1.8M
NIDDK NIH HHS R01 DK105118NIDDK NIH HHS R01 DK114126
6 · The paper itself

Abstract

After the initiation of Human Microbiome Project in 2008, various biostatistic and bioinformatic tools for data analysis and computational methods have been developed and applied to microbiome studies. In this review and perspective, we discuss the research and statistical hypotheses in gut microbiome studies, focusing on mechanistic concepts that underlie the complex relationships among host, microbiome, and environment. We review the current available statistic tools and highlight recent progress of newly developed statistical methods and models. Given the current challenges and limitations in biostatistic approaches and tools, we discuss the future direction in developing statistical methods and models for the microbiome studies.

Indexed as

bioinformaticsbiostatisticscancerdietdysbiosishypothesis testingIBDinflammationmicrobiomeobesitystatistical methods and modelsVitamin D receptor

Identifiers

PMID30197908
PMCPMC6128532

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.