Evidence map›Paper›PMID 25644374›Full record

ArticleGenetic epidemiology2015

Informed genome-wide association analysis with family history as a secondary phenotype identifies novel loci of lung cancer.

Julia G Poirier, Paul Brennan, James D McKay, Margaret R Spitz, Heike Bickeböller, Angela Risch, Geoffrey Liu, Loic Le Marchand, Shelley Tworoger, John McLaughlin and 15 more

Abstract readComparative Study
In one paragraph

Article in Genetic epidemiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Etiology of lung cancer: Evidence from epidemiologic studies.Journal of the National Cancer Center · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Aberrant fatty acid profile and FFAR4 signaling confer endocrine resistance in breast cancer.Journal of experimental & clinical cancer research : CR · 2019
    Article
  10. A Decade of GWAS Results in Lung Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018
    Review
  11. Review
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

25 authors.

Julia G PoirierLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.
Paul Brennan
James D McKay
Margaret R Spitz
Heike Bickeböller
Angela Risch
Geoffrey Liu
Loic Le Marchand
Shelley Tworoger
John McLaughlin
Albert Rosenberger
Joachim Heinrich
Irene Brüske
Thomas Muley
Brian E Henderson
Lynne R Wilkens
Xuchen Zong
Yafang Li
Ke Hao
Wim Timens
Yohan Bossé
Don D Sin
Ma'en Obeidat
Christopher I Amos
Rayjean J Hung

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
University of Hawaii Cancer Center CCSGP30CA071789 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI Xin Chen · 1996 to 2026
$56.2M
Understanding Ethnic Differences in Cancer: The Multiethnic Cohort StudyUM1CA164973 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI HENDERSON, BRIAN E, LE MARCHAND, LOIC · 2012 to 2014
$11.3M
Transdisciplinary Research in Cancer of the Lung (TRICL)U19CA148127 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI AMOS, CHRISTOPHER I., LE MARCHAND, LOIC · 2010 to 2014
$10.9M
A genomewide study of lung cancer in never smokersR01CA149462 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI GORLOVA, OLGA · 2010 to 2014
$4.4M
CIHR MOP-123369NCI NIH HHS CA148127NCI NIH HHS P30 CA023108NCI NIH HHS P30 CA071789NCI NIH HHS R01 CA149462NCI NIH HHS R01 CA149462-02NCI NIH HHS U19 CA148127NCI NIH HHS U19 CA148127-01NCI NIH HHS UM1 CA164973World Health Organization 001
6 · The paper itself

Abstract

Lung cancer is the leading cause of cancer death worldwide. Although several genetic variants associated with lung cancer have been identified in the past, stringent selection criteria of genome-wide association studies (GWAS) can lead to missed variants. The objective of this study was to uncover missed variants by using the known association between lung cancer and first-degree family history of lung cancer to enrich the variant prioritization for lung cancer susceptibility regions. In this two-stage GWAS study, we first selected a list of variants associated with both lung cancer and family history of lung cancer in four GWAS (3,953 cases, 4,730 controls), then replicated our findings for 30 variants in a meta-analysis of four additional studies (7,510 cases, 7,476 controls). The top ranked genetic variant rs12415204 in chr10q23.33 encoding FFAR4 in the Discovery set was validated in the Replication set with an overall OR of 1.09 (95% CI=1.04, 1.14, P=1.63×10(-4)). When combining the two stages of the study, the strongest association was found in rs1158970 at Ch4p15.2 encoding KCNIP4 with an OR of 0.89 (95% CI=0.85, 0.94, P=9.64×10(-6)). We performed a stratified analysis of rs12415204 and rs1158970 across all eight studies by age, gender, smoking status, and histology, and found consistent results across strata. Four of the 30 replicated variants act as expression quantitative trait loci (eQTL) sites in 1,111 nontumor lung tissues and meet the genome-wide 10% FDR threshold.

Indexed as

Genetic Predisposition to DiseaseGenome-Wide Association StudyLung NeoplasmsPhenotypeBiomarkers, TumorCase-Control StudiesFemaleGenetic VariationHumansMaleBiomarkers, TumoreQTLfamily historygenetic susceptibilitygenome-wide association studieslung cancersecondary phenotype

Identifiers

PMID25644374
PMCPMC4554719

What OpenQuestion holds

Textmetadata
LicenceTDM
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.