Evidence map›Paper›PMID 41390056›Full record

ArticleJournal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer2026

High-Penetrance Rare Variants Underlying Familial Lung Cancer Risk: Insights From Genetic Epidemiology of Lung Cancer Consortium.

Yanhong Liu, Yafang Li, Jinyoung Byun, Vikram R Shaw, Claudio Pikielny, Bo Peng, Chao Cheng, Spiridon Tsavachidis, Xiangjun Xiao, Dakai Zhu and 24 more

Abstract read
In one paragraph

Article in Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

34 authors.

Yanhong LiuDan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Yafang LiThe University of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico.
Jinyoung ByunThe University of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico.
Vikram R ShawDan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Claudio PikielnyDepartment of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire.
Bo PengDan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Chao ChengDan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Spiridon TsavachidisDan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Xiangjun XiaoThe University of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico.
Dakai ZhuThe University of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico.
Younghun HanDan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, Texas; The University of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico.
Ivan P GorlovDan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Olga Y GorlovaDan L. Duncan Comprehensive Cancer Center, Department of Medicine, Baylor College of Medicine, Houston, Texas.
Michael ColeDepartment of Biomedical Data Science, Geisel School of Medicine, Dartmouth College, Lebanon, New Hampshire.
Colette R GabaThe University of Toledo College of Medicine, Toledo, Ohio.
Erin L CrawfordThe University of Toledo College of Medicine, Toledo, Ohio.
Kristen PurringtonKarmanos Cancer Institute, Wayne State University School of Medicine, Detroit, Michigan.
Ellen L GoodeMayo Clinic, Rochester, Minnesota.
Ping YangMayo Clinic, Scottsdale, Arizona.
James McKayInternational Agency for Research on Cancer, Lyon, France.
John K FieldRoy Castle Lung Cancer Research Programme, The University of Liverpool, Department of Molecular and Clinical Cancer Medicine, Liverpool, United Kingdom.
Geoffrey LiuPrincess Margaret Cancer Center, Toronto, ON, Canada.
Rayjean J HungLunenfeld-Tanenbaum Research Institute, Sinai Health System, Toronto, ON, Canada.
Jun XiaInstitute of Biosciences and Technology, Texas A&M University, Houston, Texas.
Jiyeon ChoiDivision of Cancer Epidemiology & Genetics at the National Cancer Institute, Bethesda, Maryland.
Matthew B SchabathDepartments of Cancer Epidemiology and Thoracic Oncology, H. Lee Moffitt Cancer Center & Research Institute, Tampa, Florida.
Jaclyn LoPiccoloLowe Center for Thoracic Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, Massachusetts.
David C ChristianiHarvard University T. H. Chan School of Public Health, and Massachusetts General Hospital/Harvard Medical School, Boston, Massachusetts.
Joan Bailey-WilsonNational Human Genome Research Institute, Bethesda, Maryland.
Ann G SchwartzKarmanos Cancer Institute, Wayne State University School of Medicine, Detroit, Michigan.
James C WilleyThe University of Toledo College of Medicine, Toledo, Ohio.
Diptasri MandalLouisiana State University Health Sciences Center, New Orleans, Louisiana.
Susan M PinneyUniversity of Cincinnati College of Medicine, Cincinnati, Ohio.
Christopher I AmosThe University of New Mexico Comprehensive Cancer Center, Albuquerque, New Mexico. Electronic address: CIAmos@salud.unm.edu.

Funding

Women's Cancer ProgramP30CA015083 · NCI · MAYO CLINIC ROCHESTER · PI Lila J. Rutten · 1985 to 2026
$151.3M
TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI John L. Cleveland · 1998 to 2026
$93.5M
Translational Research Support CoreP30ES000002 · NIEHS · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI JAIME ELIZABETH HART · 1985 to 2026
$44.6M
Translating Molecular and Clinical Data to Population Lung Cancer Risk AssessmentU19CA203654 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Christopher I. Amos · 2017 to 2026
$23.7M
Sequencing Familial Lung CancerR01CA243483 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI Christopher I. Amos, DIPTASRI M MANDAL · 2023 to 2026
$4.2M
Intratumoral microbiota and immune predictors of response to immunotherapy in lung cancerR01CA285882 · NCI · BAYLOR COLLEGE OF MEDICINE · PI David C Christiani, Yanhong Liu · 2024 to 2026
$3.3M
Identifying germline pathogenic variants in familial lung cancer among African-AmericansR03CA282953 · NCI · BAYLOR COLLEGE OF MEDICINE · PI LIU, YANHONG · 2024 to 2025
$160k
Heterogeneous Genetic Architecture in Lung Cancer RiskR03CA277197 · NCI · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI BYUN, JINYOUNG · 2024 to 2025
$156k
NCI NIH HHS P30 CA015083NCI NIH HHS P30 CA076292NCI NIH HHS R01 CA243483NCI NIH HHS R01 CA285882NCI NIH HHS R03 CA277197NCI NIH HHS R03 CA282953NCI NIH HHS U19 CA203654NIEHS NIH HHS P30 ES000002World Health Organization 001
6 · The paper itself

Abstract

introductionRare, deleterious germline variants are key contributors to inherited lung cancer (LC) risk. The Genetic Epidemiology of LC Consortium (GELCC) has curated valuable high-risk LC families and is uniquely positioned to uncover rare, high-penetrance variants underlying familial LC (FLC).

methodsWe performed whole-genome and exome sequencing on germline DNA from 120 high-risk LC families (177 FLC cases, 309 unaffected relatives). We prioritized rare (allele frequency <1% in the genome aggregation database), potentially deleterious variants present in two or more FLC cases. These variants were then validated in 10,085 sporadic LC (SLC) cases and 612,970 controls.

resultsWe identified 118 candidate variants, 28 of which were validated in SLC with strong statistical support. We discovered a novel pathogenic axis of three truncating variants in GALNT6, MUC4, and ERBB3 genes, which are critical regulators of mucin-type O-glycosylation. Nine top hits were mapped to the known 6q23-25 linkage region (ROS1, LAMA2, PRKN, SYNE1). Other candidates were clustered in DNA repair (ATM, BRCA2, MLH1), oncogenic signaling (ERBB3, JAK1, PIM1), and extracellular matrix genes (COL6A3, FLG). Carriers of two or more variant alleles had a strong dose-dependent risk. Furthermore, gene-based burden tests revealed strong associations between RARB, MGMT, and EBF1 with FLC susceptibility.

conclusionOur findings underscore the important role of rare, high-penetrance genetic variants in FLC susceptibility, particularly in mucin glycosylation and DNA repair genes. These findings offer promising targets for early detection and personalized therapies.

Indexed as

Genetic Predisposition to DiseaseLung NeoplasmsPenetranceFemaleHumansMaleMiddle AgedFamilial riskGenetic susceptibilityLung cancerRare variants

Identifiers

PMID41390056
PMCPMC13259588

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.