Evidence map›Paper›PMID 41256160›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Formal Statistical Replication Analysis in Lung Cancer Genome-Wide Association Studies.

Yung-Han Chang, Jinyoung Byun, Bryan R Gorman, Rayjean J Hung, James D McKay, Christopher I Amos, Saiju Pyarajan, Arjun Bhattacharya, Ryan Sun

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. 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
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.

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

9 authors.

Yung-Han ChangDepartment of Biostatistics, University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA.ORCID 0009-0004-3041-0390
Jinyoung ByunInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0001-8579-1435
Bryan R GormanCenter for Data and Computational Sciences (C-DACS), VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA.ORCID 0000-0002-4239-4672
Rayjean J HungDalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-4486-7496
James D McKaySection of Genetics, International Agency for Research on Cancer, World Health Organization, Lyon, France.ORCID 0000-0002-1787-3874
Christopher I AmosInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.ORCID 0000-0002-8540-7023
Saiju PyarajanCenter for Data and Computational Sciences (C-DACS), VA Cooperative Studies Program, VA Boston Healthcare System, Boston, MA, USA.ORCID 0000-0002-9047-3762
Arjun BhattacharyaDepartment of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA.ORCID 0000-0003-1196-4385
Ryan SunDepartment of Biostatistics, University of Texas MD Anderson Cancer Center UTHealth Houston Graduate School of Biomedical Sciences, Houston, TX, USA.ORCID 0000-0003-1176-1561

Funding

Development of large-scale composite null hypothesis testing approaches to perform translational genetics analysesR35GM154843 · NIGMS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Ryan Sun · 2024 to 2026
$1.2M
NIGMS NIH HHS R35 GM154843
6 · The paper itself

Abstract

Dozens of genome-wide association studies (GWAS) have identified thousands of single nucleotide polymorphisms (SNPs) associated with lung cancer risk. However, it remains challenging to translate these findings to clinical insights. One well-known obstacle is the large amount of type I error attached to GWAS; attempted solutions such as setting a

Identifiers

PMID41256160
PMCPMC12622082

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.