Evidence map›Paper›PMID 38291185›Full record

ArticleCommunications biology2024

A genome-wide association study reveals the relationship between human genetic variation and the nasal microbiome.

Xiaomin Liu, Xin Tong, Leying Zou, Yanmei Ju, Mingliang Liu, Mo Han, Haorong Lu, Huanming Yang, Jian Wang, Yang Zong and 7 more

Abstract read
In one paragraph

Article in Communications biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  15. Antibiotics (Basel, Switzerland) · 2024
    Review
  16. 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.

Xiaomin Liu *BGI Research, Shenzhen, 518083, China.ORCID 0000-0003-2155-3627
Xin Tong *BGI Research, Shenzhen, 518083, China.
Leying Zou *BGI Research, Shenzhen, 518083, China.
Yanmei Ju *BGI Research, Shenzhen, 518083, China.
Mingliang LiuBGI Research, Shenzhen, 518083, China.
Mo HanBGI Research, Shenzhen, 518083, China.ORCID 0000-0002-4404-297X
Haorong LuChina National Genebank, BGI-Shenzhen, Shenzhen, 518120, China.
Huanming YangBGI Research, Shenzhen, 518083, China.ORCID 0000-0002-0858-3410
Jian WangBGI Research, Shenzhen, 518083, China.
Yang ZongBGI Research, Shenzhen, 518083, China.
Weibin LiuBGI Research, Shenzhen, 518083, China.
Xun XuBGI Research, Shenzhen, 518083, China.ORCID 0000-0002-5338-5173
Xin JinBGI Research, Shenzhen, 518083, China.ORCID 0000-0001-7554-4975
Liang XiaoBGI Research, Shenzhen, 518083, China.
Huijue JiaGreater Bay Area Institute of Precision Medicine, Guangzhou, Guangdong, China. huijue_jia@fudan.edu.cn.ORCID 0000-0002-3592-126X
Ruijin GuoBGI Research, Shenzhen, 518083, China. guoruijin@genomics.cn.ORCID 0000-0001-7863-3797
Tao ZhangBGI Research, Wuhan, 430074, China. tao.zhang@genomics.cn.ORCID 0000-0003-2765-2802

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32200548
6 · The paper itself

Abstract

The nasal cavity harbors diverse microbiota that contributes to human health and respiratory diseases. However, whether and to what extent the host genome shapes the nasal microbiome remains largely unknown. Here, by dissecting the human genome and nasal metagenome data from 1401 healthy individuals, we demonstrated that the top three host genetic principal components strongly correlated with the nasal microbiota diversity and composition. The genetic association analyses identified 63 genome-wide significant loci affecting the nasal microbial taxa and functions, of which 2 loci reached study-wide significance (p < 1.7 × 10

Indexed as

Cardiovascular DiseasesMicrobiotaGenetic VariationGenome-Wide Association StudyHumansNose

Identifiers

PMID38291185
PMCPMC10828421

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.