Evidence map›Paper›PMID 25937444›Full record

ArticleAmerican journal of human genetics2015

Low-frequency coding variants at 6p21.33 and 20q11.21 are associated with lung cancer risk in Chinese populations.

Guangfu Jin, Meng Zhu, Rong Yin, Wei Shen, Jia Liu, Jie Sun, Cheng Wang, Juncheng Dai, Hongxia Ma, Chen Wu and 12 more

Open access · bronzeAbstract read
In one paragraph

Article in American journal of human genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 5% 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

28 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
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  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Etiology of lung cancer: Evidence from epidemiologic studies.Journal of the National Cancer Center · 2022
    Review
  11. Article
  12. Genome-Wide Identification ofFrontiers in endocrinology · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Molecular biology of BPIFB1 and its advances in disease.Annals of translational medicine · 2020
    Review
  18. Article
  19. Review
  20. 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

22 authors at 7 institutions in 2 countries.

Guangfu JinDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Jiangsu Key Laboratory of Cancer Biomarkers, Prevention, and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China.
Meng ZhuDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Rong YinJiangsu Key Laboratory of Molecular and Translational Cancer Research, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University Affiliated Cancer Hospital, Nanjing 210009, China.
Wei ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Jia LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Jie SunDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Cheng WangDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Juncheng DaiDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Hongxia MaDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China.
Chen WuState Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Zhihua YinDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang 110001, China.
Jiaqi HuangMedimmune, Gaithersburg, MD 20878, USA.
Brandon W HiggsMedimmune, Gaithersburg, MD 20878, USA.
Lin XuJiangsu Key Laboratory of Molecular and Translational Cancer Research, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University Affiliated Cancer Hospital, Nanjing 210009, China.
Yihong YaoMedimmune, Gaithersburg, MD 20878, USA.
David C ChristianiDepartment of Environmental Health, Harvard T.H. Chan School of Public Health, Harvard University, Boston, MA 02115, USA.
Christopher I AmosCenter for Genomic Medicine, Department of Community and Family Medicine, Geisel School of Medicine, Dartmouth College, Lebanon, NH 03755, USA.
Zhibin HuDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Jiangsu Key Laboratory of Cancer Biomarkers, Prevention, and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China; Jiangsu Key Laboratory of Molecular and Translational Cancer Research, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University Affiliated Cancer Hospital, Nanjing 210009, China.
Baosen ZhouDepartment of Epidemiology, School of Public Health, China Medical University, Shenyang 110001, China.
Yongyong ShiMinistry of Education Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders, Bio-X Institutes, Shanghai Jiao Tong University, Shanghai 200240, China.
Dongxin LinState Key Laboratory of Molecular Oncology, Cancer Institute and Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
Hongbing ShenDepartment of Epidemiology and Biostatistics, School of Public Health, Nanjing Medical University, Nanjing 211166, China; Jiangsu Key Laboratory of Cancer Biomarkers, Prevention, and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing 211166, China. Electronic address: hbshen@njmu.edu.cn.
Nanjing Medical University · CNJiangsu Cancer Hospital · CNChina Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNDartmouth College · USHarvard University · USShanghai Jiao Tong University · CN

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Statistical Methods for Analysis of Massive Genetic and Genomic Data in Cancer ResearchR35CA197449 · NCI · HARVARD UNIVERSITY D/B/A HARVARD SCHOOL OF PUBLIC HEALTH · PI XIHONG LIN · 2015 to 2026
$10.9M
NCI NIH HHS P30 CA023108NCI NIH HHS R35 CA197449
6 · The paper itself

Abstract

Genome-wide association studies have successfully identified a subset of common variants associated with lung cancer risk. However, these variants explain only a fraction of lung cancer heritability. It has been proposed that low-frequency or rare variants might have strong effects and contribute to the missing heritability. To assess the role of low-frequency or rare variants in lung cancer development, we analyzed exome chips representing 1,348 lung cancer subjects and 1,998 control subjects during the discovery stage and subsequently evaluated promising associations in an additional 4,699 affected subjects and 4,915 control subjects during the replication stages. Single-variant and gene-based analyses were carried out for coding variants with a minor allele frequency less than 0.05. We identified three low-frequency missense variants in BAT2 (rs9469031, c.1544C>T [p.Pro515Leu]; odds ratio [OR] = 0.55, p = 1.28 × 10(-10)), FKBPL (rs200847762, c.410C>T [p.Pro137Leu]; OR = 0.25, p = 9.79 × 10(-12)), and BPIFB1 (rs6141383, c.850G>A [p.Val284Met]; OR = 1.72, p = 1.79 × 10(-7)); these variants were associated with lung cancer risk. rs9469031 in BAT2 and rs6141383 in BPIFB1 were also associated with the age of onset of lung cancer (p = 0.001 and 0.006, respectively). BAT2 and FKBPL at 6p21.33 and BPIFB1 at 20q11.21 were differentially expressed in lung tumors and paired normal tissues. Gene-based analysis revealed that FKBPL, in which two independent variants were identified, might account for the association with lung cancer risk at 6p21.33. Our results highlight the important role low-frequency variants play in lung cancer susceptibility and indicate that candidate genes at 6p21.33 and 20q11.21 are potentially biologically relevant to lung carcinogenesis.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyAsian PeopleAutoantigensChromosomes, Human, Pair 20Chromosomes, Human, Pair 6Fatty Acid-Binding ProteinsFemaleGene FrequencyGenotypeHumansImmunophilinsLung NeoplasmsMaleProteinsRisk FactorsAutoantigensBPIFB1 protein, humanFatty Acid-Binding ProteinsFKBPL protein, humanImmunophilinsProteinsPRRC2A protein, humanTacrolimus Binding Proteins

Identifiers

PMID25937444
PMCPMC4570553
OpenAlexW2104232322

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.