Evidence map›Paper›PMID 26617950›Full record

SynthesisInternational journal of clinical and experimental pathology2015

Analysis of susceptible genes and chromosome loci for lung cancers by automated gene prediction tools and genome scanning meta-analysis.

Yu Tian, Daoxin Wang

Open access · greenAbstract readComparative StudyMeta-Analysis
In one paragraph

Synthesis in International journal of clinical and experimental pathology, 2015. 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
0.2field-weighted citation impact, top 43% 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, 1 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

2 authors at 2 institutions in 1 country.

Yu TianDepartment of Respiratory Medicine, Anyue People's Hospital of Sichuan Province Ziyang 642350, Sichuan, China.
Daoxin WangDepartment of Respiratory and Critical Care Medicine, Second Hospital Affiliated to Chongqing Medical University Yuzhong, Chongqing 400010, China.
Dalian Medical University · CNFourth People's Hospital of Sichuan Province · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-wide scanning of susceptible loci and genes for medical diseases is important in current post-genome era. To date, a variety of studies have been focused on the experimental validation or genome-wide linkage scans across multiple populations hunting for susceptibility genes in lung cancer. In the present study, we used two gene prediction tools (PROSPECTR and SUSPECTS, Gen Wanderer) to analyze eight previously identified susceptibility loci for lung tumors, which are selected from literature searching. Our results showed that there was a subset of 26 likely candidate susceptible genes related to lung cancer in each chromosomal region. For potential susceptible chromosome loci, the genome-wide scanning meta-analysis using bins of 60 cM width predicted a group of potential regions associated with lung cancer. Locus 15q21-26 (P=0.000606) is strongly evidenced, which has been confirmed in previous work. In contrast, another potential locus 10q11.2-q23.3 (P=0.0435223) is suggestively evidenced, which was never identified before. Ac compared to previous known regions, the latter one is the new detected one in our study. In conclusion, our study may be useful to contribute to further experimental tests of susceptibility genes/loci related to lung cancer.

Indexed as

Chromosomes, HumanComputational BiologyDatabases, GeneticGenetic LociGenetic VariationGenome, HumanAutomationBiomarkers, TumorGenetic Predisposition to DiseaseGenome-Wide Association StudyGenomicsHumansLung NeoplasmsPhenotypeRisk FactorsBiomarkers, Tumorcomputational strategyLung canermeta-analysisprioritizationsusceptibility genes/loci

Identifiers

PMID26617950
PMCPMC4637766
OpenAlexW2183162463

What OpenQuestion holds

Textmetadata
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.