Evidence map›Paper›PMID 36814836›Full record

ArticleCell reports methods2023

Comprehensive evaluation of shotgun metagenomics, amplicon sequencing, and harmonization of these platforms for epidemiological studies.

Mykhaylo Usyk, Brandilyn A Peters, Smruthi Karthikeyan, Daniel McDonald, Christopher C Sollecito, Yoshiki Vazquez-Baeza, Justin P Shaffer, Marc D Gellman, Gregory A Talavera, Martha L Daviglus and 5 more

Open access · goldAbstract read
In one paragraph

Article in Cell reports methods, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed, 1 pooled it
12.3field-weighted citation impact, top 1% 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

48 citing papers in PubMed, 1 synthesis or guideline pooled it, 78 citations in OpenAlex.

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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

15 authors at 9 institutions in 1 country.

Mykhaylo UsykDepartment of Pediatrics (Genetic Medicine), Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA.
Brandilyn A PetersDepartment of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
Smruthi KarthikeyanDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Daniel McDonaldDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Christopher C SollecitoDepartment of Pediatrics (Genetic Medicine), Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA.
Yoshiki Vazquez-BaezaCenter for Microbiome Innovation, University of California San Diego, La Jolla, CA, USA.
Justin P ShafferDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Marc D GellmanDepartment of Psychology, University of Miami, Miami, FL, USA.
Gregory A TalaveraDivision of Health Promotion and Behavioral Science, San Diego State University, San Diego, CA, USA.
Martha L DaviglusDepartment of Medicine, University of Illinois-Chicago, Chicago, IL, USA.
Bharat ThyagarajanDepartment of Laboratory Medicine and Pathology, University of Minnesota Medical Center, Minneapolis, MN, USA.
Rob KnightDepartment of Pediatrics, University of California San Diego, La Jolla, CA, USA.
Qibin QiDepartment of Epidemiology and Population Health, NYU School of Medicine, New York, NY, USA.
Robert KaplanDepartment of Epidemiology and Population Health, NYU School of Medicine, New York, NY, USA.
Robert D BurkDepartment of Pediatrics (Genetic Medicine), Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY 10461, USA.
Albert Einstein College of Medicine · USUniversity of California, San Diego · USFred Hutch Cancer Center · USLa Jolla Bioengineering Institute · USNew York University · USSan Diego State University · USUniversity of Illinois Chicago · USUniversity of Miami · USUniversity of Minnesota Medical Center · US

Funding

WORD PROCESSORP30CA013330 · NCI · YESHIVA UNIVERSITY · PI THOMAS E ROHAN · 1985 to 2026
$111.2M
Sex differences in the role of multi-omics in HIV-associated carotid artery atherosclerosisU01HL146204 · NHLBI · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI David B. Hanna, Anjali Sharma · 2019 to 2026
$33.2M
Patient and Population Health Outcomes Research SWGP30AI124414 · NIAID · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI HARRIS GOLDSTEIN · 2017 to 2026
$28.3M
UCSD/SDSU IRACDAK12GM068524 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI TREJO, JOANN · 2003 to 2025
$24.4M
Hispanic Community Health Study - NIDCDN01HC65235 · NHLBI · YESHIVA UNIVERSITY · PI KAPLAN, ROBERT · 2007 to 2012
$16.0M
OTHER FUNCTIONS - R&D - HISPANIC COMMUNITY HEALTH STUDYN01HC65233 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI CAI, JAIWEN · 2007 to 2012
$15.1M
Pilot Program CoreP30ES027792 · NIEHS · UNIVERSITY OF CHICAGO · PI Gokhan M. Mutlu, Gail S Prins · 2017 to 2026
$13.6M
HISPANIC COMMUNITY HEALTH STUDY - FIELD CENTERN01HC65236 · NHLBI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI DIVIGLUS, MARTHA · 2007 to 2012
$13.4M
HISPANIC COMMUNITY HEALTH STUDY - FIELD CENTERN01HC65234 · NHLBI · UNIVERSITY OF MIAMI CORAL GABLES · PI SCHNEIDERMAN, NEIL · 2007 to 2012
$13.1M
HISPANIC COMMUNITY HEALTH STUDY - FIELD CENTERN01HC65237 · NHLBI · SAN DIEGO STATE UNIVERSITY · PI TALAVERA, GREGORY · 2007 to 2013
$12.4M
Epidemiology of the gut microbiome, prediabetes and diabetes in LatinosR01MD011389 · NIMHD · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI BURK, ROBERT D, KAPLAN, ROBERT C · 2016 to 2020
$4.3M
Thalassemia Clinical Research Network, CanadaU01HL065233 · NHLBI · UNIVERSITY HEALTH NETWORK · PI OLIVIERI, NANCY F · 2000 to 2009
$2.6M
NCI NIH HHS HHSN261201300004INCI NIH HHS HHSN261201300005INCI NIH HHS P30 CA013330NHLBI NIH HHS HHSN268201000001INHLBI NIH HHS N01 HC065233NHLBI NIH HHS N01 HC065234NHLBI NIH HHS N01 HC065235NHLBI NIH HHS N01 HC065236NHLBI NIH HHS N01 HC065237NHLBI NIH HHS N01HC65233NHLBI NIH HHS N01HC65234NHLBI NIH HHS N01HC65235NHLBI NIH HHS N01HC65236NHLBI NIH HHS N01HC65237NHLBI NIH HHS U01 HL146204NIAID NIH HHS P30 AI124414NIDDK NIH HHS R01 DK126698NIEHS NIH HHS P30 ES027792NIGMS NIH HHS K12 GM068524NIMHD NIH HHS R01 MD011389
6 · The paper itself

Abstract

In a large cohort of 1,772 participants from the Hispanic Community Health Study/Study of Latinos with overlapping 16SV4 rRNA gene (bacterial amplicon), ITS1 (fungal amplicon), and shotgun sequencing data, we demonstrate that 16SV4 amplicon sequencing and shotgun metagenomics offer the same level of taxonomic accuracy for bacteria at the genus level even at shallow sequencing depths. In contrast, for fungal taxa, we did not observe meaningful agreements between shotgun and ITS1 amplicon results. Finally, we show that amplicon and shotgun data can be harmonized and pooled to yield larger microbiome datasets with excellent agreement (<1% effect size variance across three independent outcomes) using pooled amplicon/shotgun data compared to pure shotgun metagenomic analysis. Thus, there are multiple approaches to study the microbiome in epidemiological studies, and we provide a demonstration of a powerful pooling approach that will allow researchers to leverage the massive amount of amplicon sequencing data generated over the last two decades.

Indexed as

MicrobiotaBacteriaHigh-Throughput Nucleotide SequencingHumansMetagenomeSequence Analysis, DNA16S rrnaampliconepidemiologyfungiharmonizationHCHS/SOLITS1meta-analysismetagenomicshotgun

Identifiers

PMID36814836
PMCPMC9939430
OpenAlexW4319865330

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.