scispace - formally typeset
Open AccessJournal ArticleDOI

Large-scale association analyses identify host factors influencing human gut microbiome composition

Alexander Kurilshikov, +109 more
- 18 Jan 2021 - 
- Vol. 53, Iss: 2, pp 156-165
Reads0
Chats0
TLDR
In this article, the MiBioGen consortium curated and analyzed genome-wide genotypes and 16S fecal microbiome data from 18,340 individuals (24 cohorts) and found high variability across cohorts: only 9 of 410 genera were detected in more than 95% of samples.
Abstract
To study the effect of host genetics on gut microbiome composition, the MiBioGen consortium curated and analyzed genome-wide genotypes and 16S fecal microbiome data from 18,340 individuals (24 cohorts). Microbial composition showed high variability across cohorts: only 9 of 410 genera were detected in more than 95% of samples. A genome-wide association study of host genetic variation regarding microbial taxa identified 31 loci affecting the microbiome at a genome-wide significant (P < 5 × 10−8) threshold. One locus, the lactase (LCT) gene locus, reached study-wide significance (genome-wide association study signal: P = 1.28 × 10−20), and it showed an age-dependent association with Bifidobacterium abundance. Other associations were suggestive (1.95 × 10−10 < P < 5 × 10−8) but enriched for taxa showing high heritability and for genes expressed in the intestine and brain. A phenome-wide association study and Mendelian randomization identified enrichment of microbiome trait loci in the metabolic, nutrition and environment domains and suggested the microbiome might have causal effects in ulcerative colitis and rheumatoid arthritis.

read more

Citations
More filters
Journal ArticleDOI

Microbiome and cancer

TL;DR: The human microbiome constitutes a complex multikingdom community that symbiotically interacts with the host across multiple body sites and has been suggested to influence the development, progression, metastasis formation, and treatment response of multiple cancer types as mentioned in this paper.
Journal ArticleDOI

Combined effects of host genetics and diet on human gut microbiota and incident disease in a single population cohort

TL;DR: In this paper , the authors characterize genetic variations associated with microbial abundances in a single large-scale population-based cohort of 5,959 genotyped individuals with matched gut microbial metagenomes and dietary and health records (prevalent and follow-up).
Journal ArticleDOI

Microbial Community Heterogeneity Within Colorectal Neoplasia and its Correlation With Colorectal Carcinogenesis.

TL;DR: In this article, the authors used 16S ribosomal RNA gene sequencing to determine the microbial community architecture within a colorectal cancer (CRC) or adenoma (n = 36) and the contribution of the intratumoral microbiota and its association with CRC progression remain elusive.
References
More filters
Journal ArticleDOI

The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

TL;DR: The extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
Journal ArticleDOI

A global reference for human genetic variation.

Adam Auton, +517 more
- 01 Oct 2015 - 
TL;DR: The 1000 Genomes Project set out to provide a comprehensive description of common human genetic variation by applying whole-genome sequencing to a diverse set of individuals from multiple populations, and has reconstructed the genomes of 2,504 individuals from 26 populations using a combination of low-coverage whole-generation sequencing, deep exome sequencing, and dense microarray genotyping.
Journal ArticleDOI

The Ribosomal Database Project: improved alignments and new tools for rRNA analysis

TL;DR: An improved alignment strategy uses the Infernal secondary structure aware aligner to provide a more consistent higher quality alignment and faster processing of user sequences, and a new Pyrosequencing Pipeline that provides tools to support analysis of ultra high-throughput rRNA sequencing data.
Journal ArticleDOI

The combination of estimates from different experiments.

TL;DR: The problem of making a combined estimate has been discussed previously by Cochran and Yates and Cochran (1937) for agricultural experiments, and by Bliss (1952) for bioassays in different laboratories as discussed by the authors.
Related Papers (5)