Evidence map›Paper›PMID 34463609›Full record

SynthesisMicrobial genomics2021

Geographical separation and ethnic origin influence the human gut microbial composition: a meta-analysis from a Malaysian perspective.

Jacky Dwiyanto, Qasim Ayub, Sui Mae Lee, Su Chern Foo, Chun Wie Chong, Sadequr Rahman

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Microbial genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 3 pooled it
–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

23 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Global Microbiome: Core and Unique Signatures Across Diverse Populations.International journal of molecular sciences · 2026
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  20. Gut Microbiome Succession in Chinese Mitten CrabFrontiers in microbiology · 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

6 authors.

Jacky DwiyantoSchool of Science, Monash University Malaysia, Bandar Sunway, Malaysia.
Qasim AyubSchool of Science, Monash University Malaysia, Bandar Sunway, Malaysia.
Sui Mae LeeSchool of Science, Monash University Malaysia, Bandar Sunway, Malaysia.
Su Chern FooSchool of Science, Monash University Malaysia, Bandar Sunway, Malaysia.
Chun Wie ChongSchool of Pharmacy, Monash University Malaysia, Bandar Sunway, Malaysia.
Sadequr RahmanSchool of Science, Monash University Malaysia, Bandar Sunway, Malaysia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ethnicity is consistently reported as a strong determinant of human gut microbiota. However, the bulk of these studies are from Western countries, where microbiota variations are mainly driven by relatively recent migration events. Malaysia is a multicultural society, but differences in gut microbiota persist across ethnicities. We hypothesized that migrant ethnic groups continue to share fundamental gut traits with the population in the country of origin due to shared cultural practices despite subsequent geographical separation. To test this hypothesis, the 16S rRNA gene amplicons from 16 studies comprising three major ethnic groups in Malaysia were analysed, covering 636 Chinese, 248 Indian and 123 Malay individuals from four countries (China, India, Indonesia and Malaysia). A confounder-adjusted permutational multivariate analysis of variance (PERMANOVA) detected a significant association between ethnicity and the gut microbiota (PERMANOVA

Indexed as

EthnicityChinaGastrointestinal MicrobiomeHigh-Throughput Nucleotide SequencingHumansIndiaIndonesiaMalaysiaRNA, Ribosomal, 16SRNA, Ribosomal, 16SChinesecommunitygut microbiomeIndianMalaymicrobiotanext-generation sequence

Identifiers

PMID34463609
PMCPMC8549367

What OpenQuestion holds

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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.