Evidence map›Paper›PMID 36527873›Full record

SynthesisEnvironment international2023

Association of distance to swine concentrated animal feeding operations with immune-mediated diseases: An exploratory gene-environment study.

Montserrat Ayala-Ramirez, Nathaniel MacNell, Lucy E McNamee, John A McGrath, Farida S Akhtari, Matthew D Curry, Askia K Dunnon, Michael B Fessler, Stavros Garantziotis, Christine G Parks and 6 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Environment international, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. 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

16 authors at 3 institutions in 1 country.

Montserrat Ayala-RamirezClinical Research Branch, National Institute of Environmental Health Sciences, National Institutes of Health, 111 T.W. Alexander Drive, Research Triangle Park, NC 27709, USA. Electronic address: montserrat.ayala-ramirez@nih.gov.
Nathaniel MacNellSocial and Scientific Systems, 505 Emperor Blvd Suite 400, Durham, NC 27703, USA. Electronic address: nathaniel.macnell@dlhcorp.com.
Lucy E McNameeClinical Research Branch, National Institute of Environmental Health Sciences, National Institutes of Health, 111 T.W. Alexander Drive, Research Triangle Park, NC 27709, USA. Electronic address: lemcnamee@uncg.edu.
John A McGrathSocial and Scientific Systems, 505 Emperor Blvd Suite 400, Durham, NC 27703, USA. Electronic address: john.mcgrath@dlhcorp.com.
Farida S AkhtariBiostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, 111 T.W. Alexander Drive, Research Triangle Park, NC 27709, USA. Electronic address: farida.akhtari@nih.gov.
Matthew D CurrySocial and Scientific Systems, 505 Emperor Blvd Suite 400, Durham, NC 27703, USA. Electronic address: matt.curry@icf.com.
Askia K DunnonClinical Research Branch, National Institute of Environmental Health Sciences, National Institutes of Health, 111 T.W. Alexander Drive, Research Triangle Park, NC 27709, USA. Electronic address: askia.dunnon@cuanschutz.edu.
Michael B FesslerImmunity, Inflammation and Disease Laboratory, National Institute of Environmental Health Sciences, National Institutes of Health, P.O. Box 12233, Mail Drop D2-01, Durham, NC 27709, USA. Electronic address: fesslerm@niehs.nih.gov.
Stavros GarantziotisClinical Research Branch, National Institute of Environmental Health Sciences, National Institutes of Health, BG 109 RM 109 MSC CU-01, 111 T.W. Alexander Drive, Research Triangle Park, NC 27709, USA. Electronic address: garantziotis@niehs.nih.gov.
Christine G ParksEpidemiology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, P.O. Box 12233, Mail Drop A3-05, Durham, NC 27709, USA. Electronic address: parks1@niehs.nih.gov.
David C FargoOffice of Scientific Computing, National Institute of Environmental Health Sciences, National Institutes of Health, P.O. Box 12233, Mail Drop B3-01, Durham, NC 27709, USA. Electronic address: fargod@niehs.nih.gov.
Charles P SchmittOffice of Data Science, National Institute of Environmental Health Sciences, National Institutes of Health, P.O. Box 12233, Mail Drop K2-02, Durham, NC 27709, USA. Electronic address: charles.schmitt@nih.gov.
Alison A Motsinger-ReifPEGS Co-PI, Biostatistics and Computational Biology Branch, National Institute of Environmental Health Sciences, National Institutes of Health, 111 T.W. Alexander Drive, RTP 101, Research Triangle Park, NC 27709, USA. Electronic address: alison.motsinger-reif@nih.gov.
Janet E HallPEGS Co-PI, Clinical Research Branch, National Institute of Environmental Health Sciences, National Institutes of Health, BG 101 RM A222 MSC A2-03. 111 T.W. Alexander Drive, Research Triangle Park, NC 27709, USA. Electronic address: janet.hall@nih.gov.
Frederick W MillerClinical Research Branch, National Institute of Environmental Health Sciences, National Institutes of Health, 111 T.W. Alexander Drive, RTP 101 David P. Rall Building, Research Triangle Park, NC 27709, USA. Electronic address: millerf@nih.gov.
Shepherd H SchurmanClinical Research Branch, National Institute of Environmental Health Sciences, National Institutes of Health, 111 T.W. Alexander Drive, Research Triangle Park, NC 27709, USA. Electronic address: shepherd.schurman@nih.gov.
National Institute of Environmental Health Sciences · USNational Institutes of Health · USSocial and Scientific Systems (United States) · US

Funding

Program in Clinical Research, Clinical Support Services and Clinical TrainingZIDES102465 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI KIRSCHNER, LAWRENCE · 2009 to 2025
$84.7M
Cell Signaling of Host DefenseZIAES102005 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI FESSLER, MICHAEL B · 2009 to 2025
$41.7M
Molecular Genetics Support to Identify Gene/Environment Interactions in DiseaseZICES102546 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI GERRISH, KEVIN · 2009 to 2025
$30.5M
Collaborative Applied StatisticsZIAES103335 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI MOTSINGER-REIF, ALISON · 2019 to 2025
$9.0M
The Personalized Environment and Genes StudyZIAES103394 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI MOTSINGER-REIF, ALISON · 2023 to 2025
$2.7M
Pathogenesis And Genetic/environmental Risk Factors ForZ01ES101074 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI MILLER, FREDERICK · 2002 to 2008
$2.7M
Environmental Exposures And Risk For Cancer and Chronic Diseases In AdultsZIAES049028 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SANDLER, DALE P · 2009 to 2024
$1.6M
Development of Data Science MethodsZIAES103364 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SCHMITT, CHARLES · 2021 to 2025
$1.6M
Intramural NIH HHS Z01 ES101074Intramural NIH HHS ZIA ES103335Intramural NIH HHS ZID ES102465NIEHS NIH HHS HHSN273201000002INIEHS NIH HHS HHSN273201600002CNIEHS NIH HHS HHSN273201600011C
6 · The paper itself

Abstract

backgroundConcentrated animal feeding operations (CAFOs) are a source of environmental pollution and have been associated with a variety of health outcomes. Immune-mediated diseases (IMD) are characterized by dysregulation of the normal immune response and, while they may be affected by gene and environmental factors, their association with living in proximity to a CAFO is unknown.

objectivesWe explored gene, environment, and gene-environment (GxE) relationships between IMD, CAFOs, and single nucleotide polymorphisms (SNPs) of prototypical xenobiotic response genes AHR, ARNT, and AHRR and prototypical immune response gene PTPN22.

methodsThe exposure analysis cohort consisted of 6,464 participants who completed the Personalized Environment and Genes Study Health and Exposure Survey and a subset of 1,541 participants who were genotyped. We assessed the association between participants' residential proximity to a CAFO in gene, environment, and GxE models. We recombined individual associations in a transethnic model using METAL meta-analysis.

resultsIn White participants, ARNT SNP rs11204735 was associated with autoimmune diseases and rheumatoid arthritis (RA), and ARNT SNP rs1889740 was associated with RA. In a transethnic genetic analysis, ARNT SNPs rs11204735 and rs1889740 and PTPN22 SNP rs2476601 were associated with autoimmune diseases and RA. In participants living closer than one mile to a CAFO, the log-distance to a CAFO was associated with autoimmune diseases and RA. In a GxE interaction model, White participants with ARNT SNPs rs11204735 and rs1889740 living closer than eight miles to a CAFO had increased odds of RA and autoimmune diseases, respectively. The transethnic model revealed similar GxE interactions.

conclusionsOur results suggest increased risk of autoimmune diseases and RA in those living in proximity to a CAFO and a potential role of the AHR-ARNT pathway in conferring risk. We also report the first association of ARNT SNPs rs11204735 and rs1889740 with RA. Our findings, if confirmed, could allow for novel genetically-targeted or other preventive approaches for certain IMD.

Indexed as

Arthritis, RheumatoidAutoimmune DiseasesAnimalsGenetic Predisposition to DiseaseGenotypePolymorphism, Single NucleotideSwineARNT geneAutoimmune diseaseConcentrated animal feeding operationsGene-environment interactionsPTPN22 geneRheumatoid arthritis

Identifiers

PMID36527873
PMCPMC10962257
OpenAlexW4311774583

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Registered trials

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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.