Evidence map›Paper›PMID 37808664›Full record

ArticlebioRxiv : the preprint server for biology2023

Context-aware single-cell multiome approach identified cell-type specific lung cancer susceptibility genes.

Erping Long, Jinhu Yin, Ju Hye Shin, Yuyan Li, Alexander Kane, Harsh Patel, Thong Luong, Jun Xia, Younghun Han, Jinyoung Byun and 12 more

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 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
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, 2 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

22 authors at 6 institutions in 3 countries.

Erping LongDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Jinhu YinDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Ju Hye ShinDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Yuyan LiInstitute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Alexander KaneDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Harsh PatelDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Thong LuongDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Jun XiaDepartment of Biomedical Sciences, Creighton University, Omaha, NE, USA.
Younghun HanInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
Jinyoung ByunInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
Tongwu ZhangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Wei ZhaoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Maria Teresa LandiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Nathaniel RothmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Qing LanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Yoon Soo ChangDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Fulong YuGuangzhou National Laboratory, Guangzhou International Bio Island, Guangzhou, China.
Christopher AmosInstitute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, USA.
Jianxin ShiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
Jin Gu LeeDepartment of Thoracic and Cardiovascular Surgery, Yonsei University College of Medicine, Seoul, Republic of Korea.
Eun Young KimDepartment of Internal Medicine, Yonsei University College of Medicine, Seoul, Republic of Korea.
Jiyeon ChoiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA.
National Institutes of Health · USYonsei University · KRBaylor College of Medicine · USChinese Academy of Medical Sciences & Peking Union Medical College · CNCreighton University · USGuangzhou Experimental Station · CN

Funding

The Role of Aquaporin 3 in Arsenic-Induced DNA Damage and MutagenesisR00ES033259 · NIEHS · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI XIA, JUN · 2022 to 2024
$731k
NIEHS NIH HHS R00 ES033259
6 · The paper itself

Abstract

Genome-wide association studies (GWAS) identified over fifty loci associated with lung cancer risk. However, the genetic mechanisms and target genes underlying these loci are largely unknown, as most risk-associated-variants might regulate gene expression in a context-specific manner. Here, we generated a barcode-shared transcriptome and chromatin accessibility map of 117,911 human lung cells from age/sex-matched ever- and never-smokers to profile context-specific gene regulation. Accessible chromatin peak detection identified cell-type-specific candidate

Identifiers

PMID37808664
PMCPMC10557605
OpenAlexW4387043345

What OpenQuestion holds

Textmetadata
LicenceCC0
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.