Evidence map›Paper›PMID 37228113›Full record

ArticlePloS one2023

Hierarchical association of COPD to principal genetic components of biological systems.

Daniel E Carlin, Simon J Larsen, Vikram Sirupurapu, Michael H Cho, Edwin K Silverman, Jan Baumbach, Trey Ideker

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 76% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 4 institutions in 3 countries.

Daniel E CarlinDepartment of Medicine, Division of Genetics, University of California San Diego, La Jolla, CA, United States of America.ORCID 0000-0001-5075-9486
Simon J LarsenUniversity of Southern Denmark, Odense, Denmark.ORCID 0000-0001-8076-5035
Vikram SirupurapuDepartment of Medicine, Division of Genetics, University of California San Diego, La Jolla, CA, United States of America.ORCID 0000-0002-3375-5317
Michael H ChoChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, United States of America.ORCID 0000-0002-4907-1657
Edwin K SilvermanChanning Division of Network Medicine, Brigham and Women's Hospital, Boston, MA, United States of America.ORCID 0000-0002-3641-3822
Jan BaumbachDepartment of Computational Systems Biology, University of Hamburg, Hamburg, Germany.
Trey IdekerDepartment of Medicine, Division of Genetics, University of California San Diego, La Jolla, CA, United States of America.ORCID 0000-0002-1708-8454
University of California San Diego · USBrigham and Women's Hospital · USUniversität Hamburg · DEUniversity of Southern Denmark · DK

Funding

Genetic Epidemiology of COPDU01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2007 to 2021
$56.9M
Metabolomic signatures of empysema and COPD progression in the COPDGene cohortR01HL089897 · NHLBI · NATIONAL JEWISH HEALTH · PI CRAPO, JAMES D · 2012 to 2016
$31.1M
Sequencing CoreP50DA037844 · NIDA · UNIVERSITY OF CHICAGO · PI PALMER, ABRAHAM A · 2014 to 2023
$27.4M
Genetic Epidemiology of COPDU01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2007 to 2021
$20.7M
(2 of 2) Genetic Epidemiology of COPDR01HL089856 · NHLBI · BRIGHAM AND WOMEN'S HOSPITAL · PI SILVERMAN, EDWIN K · 2012 to 2016
$18.9M
TR&D 3 - Network Guided Machine LearningP41GM103504 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2012 to 2024
$17.3M
Cytoscape: A Modeling Platform for Biomolecular NetworksR01HG009979 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI IDEKER, TREY · 2017 to 2021
$3.5M
NHGRI NIH HHS R01 HG009979NHLBI NIH HHS R01 HL089856NHLBI NIH HHS R01 HL089897NHLBI NIH HHS U01 HL089856NHLBI NIH HHS U01 HL089897NIDA NIH HHS P50 DA037844NIGMS NIH HHS P41 GM103504
6 · The paper itself

Abstract

Many disease-causing genetic variants converge on common biological functions and pathways. Precisely how to incorporate pathway knowledge in genetic association studies is not yet clear, however. Previous approaches employ a two-step approach, in which a regular association test is first performed to identify variants associated with the disease phenotype, followed by a test for functional enrichment within the genes implicated by those variants. Here we introduce a concise one-step approach, Hierarchical Genetic Analysis (Higana), which directly computes phenotype associations against each function in the large hierarchy of biological functions documented by the Gene Ontology. Using this approach, we identify risk genes and functions for Chronic Obstructive Pulmonary Disease (COPD), highlighting microtubule transport, muscle adaptation, and nicotine receptor signaling pathways. Microtubule transport has not been previously linked to COPD, as it integrates genetic variants spread over numerous genes. All associations validate strongly in a second COPD cohort.

Indexed as

Genetic Predisposition to DiseasePulmonary Disease, Chronic ObstructiveGenetic Association StudiesGenome-Wide Association StudyHumansPolymorphism, Single Nucleotide

Identifiers

PMID37228113
PMCPMC10212185
OpenAlexW4378195350

What OpenQuestion 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 OpenQuestion graph.