Evidence map›Paper›PMID 26006746›Full record

ReviewTranslational research : the journal of laboratory and clinical medicine2016

Complex genetics of pulmonary diseases: lessons from genome-wide association studies and next-generation sequencing.

Nima Pouladi, Christian Bime, Joe G N Garcia, Yves A Lussier

Abstract readReview
In one paragraph

Review in Translational research : the journal of laboratory and clinical medicine, 2016. 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
–field-weighted citation impact
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.

  1. Variants inInternational journal of general medicine · 2021
    Article
  2. Article
  3. Article
  4. Review
  5. 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

4 authors.

Nima PouladiDepartment of Medicine, University of Arizona, Tucson, Ariz; Center for Biomedical Informatics and Biostatistics, University of Arizona, Tucson, Ariz; BIO5 Institute, University of Arizona, Tucson, Ariz.
Christian BimeUniversity of Arizona Health Sciences Center, University of Arizona, Tucson, Ariz; Arizona Respiratory Center, University of Arizona, Tucson, Ariz.
Joe G N GarciaUniversity of Arizona Health Sciences Center, University of Arizona, Tucson, Ariz; Arizona Respiratory Center, University of Arizona, Tucson, Ariz.
Yves A LussierDepartment of Medicine, University of Arizona, Tucson, Ariz; Center for Biomedical Informatics and Biostatistics, University of Arizona, Tucson, Ariz; BIO5 Institute, University of Arizona, Tucson, Ariz; University of Arizona Health Sciences Center, University of Arizona, Tucson, Ariz; Institute for Genomics and Systems Biology, Argonne National Laboratory and University of Chicago, Chicago, Ill. Electronic address: yves@email.arizona.edu.

Funding

VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Teri L Bankhead · 1985 to 2026
$110.2M
Structure-Function Analysis of nmMLCK in EC Barrier ResponsesP01HL126609 · NHLBI · UNIVERSITY OF FLORIDA · PI Carol C Gregorio · 2016 to 2026
$24.4M
Regulation of Asthmatic Inflammation by Non-Muscle MLCKR01HL091889 · NHLBI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI GARCIA, JOE G. N., WANG, TING · 2008 to 2018
$3.2M
Semantic Approaches to Phenotypic Databases AnalysesK22LM008308 · NLM · UNIVERSITY OF CHICAGO · PI LUSSIER, YVES A · 2004 to 2006
$468k
NCI NIH HHS P30 CA023074NCI NIH HHS P30CA023074NHLBI NIH HHS P01 HL126609NHLBI NIH HHS R01 HL091889NLM NIH HHS K22 LM008308
6 · The paper itself

Abstract

The advent of high-throughput technologies has provided exceptional assistance for lung scientists to discover novel genetic variants underlying the development and progression of complex lung diseases. However, the discovered variants thus far do not explain much of the estimated heritability of complex lung diseases. Here, we review the literature of successfully used genome-wide association studies (GWASs) and identified the polymorphisms that reproducibly underpin the susceptibility to various noncancerous complex lung diseases or affect therapeutic responses. We also discuss the inherent limitations of GWAS approaches and how the use of next-generation sequencing technologies has furthered our understanding about the genetic determinants of these diseases. Next, we describe the contribution of the metagenomics to understand the interactions of the airways microbiome with lung diseases. We then highlight the urgent need for new integrative genomics-phenomics methods to more effectively interrogate and understand multiple downstream "omics" (eg, chromatin modification patterns). Finally, we address the scarcity of genetic studies addressing under-represented populations such as African Americans and Hispanics.

Indexed as

Genome-Wide Association StudySequence Analysis, DNAGenetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingHumansLung Diseases

Identifiers

PMID26006746
PMCPMC4658294

What OpenQuestion holds

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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.