Evidence map›Paper›PMID 34949778›Full record

ArticleNature biotechnology2022

Fast and accurate metagenotyping of the human gut microbiome with GT-Pro.

Zhou Jason Shi, Boris Dimitrov, Chunyu Zhao, Stephen Nayfach, Katherine S Pollard

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 2 pooled it
5.0field-weighted citation impact, top 3% of its field
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

29 citing papers in PubMed, 2 syntheses or guidelines pooled it, 49 citations in OpenAlex.

  1. Pooled it
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  4. Article
  5. Linkage of nucleotide and functional diversity varies across gut bacteria.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  8. Microbiota effects and predictors ofmedRxiv : the preprint server for health sciences · 2025
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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

5 authors at 3 institutions in 1 country.

Zhou Jason ShiData Science, Chan Zuckerberg Biohub, San Francisco, CA, USA.
Boris DimitrovChan Zuckerberg Initiative, Redwood city, CA, USA.
Chunyu ZhaoData Science, Chan Zuckerberg Biohub, San Francisco, CA, USA.
Stephen NayfachDepartment of Energy, Joint Genome Institute, Walnut Creek, CA, USA. snayfach@lbl.gov.ORCID http://orcid.org/0000-0003-4625-4164
Katherine S PollardData Science, Chan Zuckerberg Biohub, San Francisco, CA, USA. katherine.pollard@gladstone.ucsf.edu.ORCID http://orcid.org/0000-0002-9870-6196
Chan Zuckerberg Initiative (United States) · USGladstone Institutes · USLawrence Berkeley National Laboratory · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single nucleotide polymorphisms (SNPs) in metagenomics are used to quantify population structure, track strains and identify genetic determinants of microbial phenotypes. However, existing alignment-based approaches for metagenomic SNP detection require high-performance computing and enough read coverage to distinguish SNPs from sequencing errors. To address these issues, we developed the GenoTyper for Prokaryotes (GT-Pro), a suite of methods to catalog SNPs from genomes and use unique k-mers to rapidly genotype these SNPs from metagenomes. Compared to methods that use read alignment, GT-Pro is more accurate and two orders of magnitude faster. Using high-quality genomes, we constructed a catalog of 104 million SNPs in 909 human gut species and used unique k-mers targeting this catalog to characterize the global population structure of gut microbes from 7,459 samples. GT-Pro enables fast and memory-efficient metagenotyping of millions of SNPs on a personal computer.

Indexed as

Gastrointestinal MicrobiomeMicrobiotaGenotypeHumansMetagenomeMetagenomicsSoftware

Identifiers

PMID34949778
OpenAlexW4200163820

What OpenQuestion holds

Textmetadata
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.