Evidence map›Paper›PMID 29452120›Full record

ArticleThe Journal of investigative dermatology2018

Quantifying the Polygenic Contribution to Cutaneous Squamous Cell Carcinoma Risk.

Joanne E Sordillo, Peter Kraft, Ann Chen Wu, Maryam M Asgari

Erratum issuedOpen access · bronzeAbstract read
In one paragraph

Article in The Journal of investigative dermatology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Cumulative Genetic Score andNeurology. Genetics · 2023
    Article
  4. Genetic polymorphism inSkin health and disease · 2022
    Article
  5. Article
  6. Identification ofTranslational cancer research · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. Keratinocyte Carcinomas: Current Concepts and Future Research Priorities.Clinical cancer research : an official journal of the American Association for Cancer Research · 2019
    Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 1 country.

Joanne E SordilloPrecision Medicine Translational Research Center, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Peter KraftDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA.
Ann Chen WuPrecision Medicine Translational Research Center, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA.
Maryam M AsgariPrecision Medicine Translational Research Center, Department of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, Massachusetts, USA; Department of Dermatology, Massachusetts General Hospital, Boston, Massachusetts, USA. Electronic address: pores@mgh.harvard.edu.
Harvard Pilgrim Health Care · USHarvard University · US

Funding

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
Powering whole genome sequence-based genetic discovery for common human diseases- Extended 2021-2022.U01HG009088 · NHGRI · HARVARD SCHOOL OF PUBLIC HEALTH · PI LIN, XIHONG, NEALE, BENJAMIN MICHAEL · 2016 to 2021
$5.1M
Age-Dependent Pharmacogenomics of Asthma Treatment (ADAPT)R01HD085993 · NICHD · HARVARD PILGRIM HEALTH CARE, INC. · PI WU, ANN CHEN · 2016 to 2020
$3.1M
Genome-wide association study of cutaneous squamous cell carincomaR01CA166672 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI ASGARI, MARYAM MANDANA · 2013 to 2016
$1.3M
NCI NIH HHS R01 CA166672NCI NIH HHS R35 CA197449NHGRI NIH HHS U01 HG009088NICHD NIH HHS R01 HD085993
6 · The paper itself

Abstract

Genetic factors play an important role in cutaneous squamous cell carcinoma risk. Genome-wide association studies have identified 21 single nucleotide polymorphisms associated with cutaneous squamous cell carcinoma risk. Yet no studies have attempted to quantify the contribution of heritability to cutaneous squamous cell carcinoma risk by calculating the population attributable risk using a combination of all discovered genetic variants. Using an additive multi-locus linear logistic model, we determined the cumulative association of these 21 genetic regions to cutaneous squamous cell carcinoma population attributable risk. We computed a multi-locus population attributable risk of 62%, suggesting that if the effects of all the risk alleles were removed from a population, the cutaneous squamous cell carcinoma risk would drop by 62%. Using stratified analysis, we also examined the impact of sex on polygenic risk score, and found that men have an increased relative risk throughout the spectrum of the polygenic risk score. Quantifying the impact of genetic predisposition on the proportion of cancer cases can guide future research decisions and public health policy planning.

Indexed as

Genetic Predisposition to DiseaseModels, BiologicalCarcinoma, Squamous CellFemaleGenetic LociGenome-Wide Association StudyHumansLinear ModelsLogistic ModelsMalePolymorphism, Single NucleotideRisk AssessmentRisk FactorsSex FactorsSkin Neoplasms

Identifiers

PMID29452120
PMCPMC6019610
OpenAlexW2787783381

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.