Evidence map›Paper›PMID 37569643›Full record

ArticleInternational journal of molecular sciences2023

Gene-Smoking Interaction Analysis for the Identification of Novel Asthma-Associated Genetic Factors.

Junho Cha, Sungkyoung Choi

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
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

2 authors at 1 institution in 1 country.

Junho ChaDepartment of Applied Artificial Intelligence, College of Computing, Hanyang University, 55 Hanyang-daehak-ro, Sangnok-gu, Ansan 15588, Republic of Korea.
Sungkyoung ChoiDepartment of Applied Artificial Intelligence, College of Computing, Hanyang University, 55 Hanyang-daehak-ro, Sangnok-gu, Ansan 15588, Republic of Korea.ORCID 0000-0002-4266-5911
Hanyang University · KR

Funding

National Biobank of Korea NBK-2020-106National Research Foundation of Korea 2018R1C1B6008277National Research Foundation of Korea 2019M3E5D3073365National Research Foundation of Korea 2022R1F1A1072274the Korea government (MSIT) RS-2022-00155885
6 · The paper itself

Abstract

Asthma is a complex heterogeneous disease caused by gene-environment interactions. Although numerous genome-wide association studies have been conducted, these interactions have not been systemically investigated. We sought to identify genetic factors associated with the asthma phenotype in 66,857 subjects from the Health Examination Study, Cardiovascular Disease Association Study, and Korea Association Resource Study cohorts. We investigated asthma-associated gene-environment (smoking status) interactions at the level of single nucleotide polymorphisms, genes, and gene sets. We identified two potentially novel (

Indexed as

AsthmaGenetic Predisposition to DiseaseGene-Environment InteractionGenome-Wide Association StudyGuanine Nucleotide Exchange FactorsHumansKruppel-Like Transcription FactorsPolymorphism, Single NucleotideSmokingDOCK8 protein, humanGuanine Nucleotide Exchange FactorsKruppel-Like Transcription FactorsZNF8 protein, humanasthmagene–environment interactionsgenome-wide association studyKorean Genome and Epidemiology Studysmoking status

Identifiers

PMID37569643
PMCPMC10419280
OpenAlexW4385416943

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.