Evidence map›Paper›PMID 29317335›Full record

ArticleBiochimica et biophysica acta. Molecular basis of disease2018

Integrated case-control and somatic-germline interaction analyses of melanoma susceptibility genes.

Yao Yu, Hao Hu, Jiun-Sheng Chen, Fulan Hu, Jerry Fowler, Paul Scheet, Hua Zhao, Chad D Huff

Open access · greenAbstract read
In one paragraph

Article in Biochimica et biophysica acta. Molecular basis of disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 28% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. A Systematic Literature Review of Whole Exome and Genome Sequencing Population Studies of Genetic Susceptibility to Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Germline Variants That Affect Tumor Progression.Trends in genetics : TIG · 2021
    Review
  7. Article
  8. 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

8 authors at 1 institution in 2 countries.

Yao YuDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Hao HuDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Jiun-Sheng ChenDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences, Houston, TX, USA.
Fulan HuDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA; Department of Epidemiology, Public Health College, Harbin Medical University, Harbin, Heilongjiang 150081, China.
Jerry FowlerDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Paul ScheetDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Hua ZhaoDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA.
Chad D HuffDepartment of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, TX, USA. Electronic address: chad@hufflab.org.
The University of Texas MD Anderson Cancer Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
High-throughput sequencing to identify novel melanoma susceptibility genesR01CA195614 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ALBRIGHT, LISA CANNON, HUFF, CHAD DANIEL · 2015 to 2019
$5.4M
VAAST+: Tool for variant prioritization, risk assessment and disease-gene findingR01GM104390 · NIGMS · UNIVERSITY OF UTAH · PI JORDE, LYNN, YANDELL, MARK DOUGLAS · 2013 to 2017
$2.2M
Statistical Methods for Population Genomics and "Next-gen" Sequencing DataR01HG005859 · NHGRI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI SCHEET, PAUL A · 2011 to 2015
$1.9M
NCI NIH HHS P30 CA016672NCI NIH HHS R01 CA195614NHGRI NIH HHS R01 HG005859NIGMS NIH HHS R01 GM104390
6 · The paper itself

Abstract

While a number of genes have been implicated in melanoma susceptibility, the role of protein-coding variation in melanoma development and progression remains underexplored. To better characterize the role of germline coding variation in melanoma, we conducted a whole-exome case-control and somatic-germline interaction study involving 322 skin cutaneous melanoma cases from The Cancer Genome Atlas and 3607 controls of European ancestry. We controlled for cross-platform technological stratification using XPAT and conducted gene-based association tests using VAAST 2. Four established melanoma susceptibility genes achieved nominal statistical significance, MC1R (p = .0014), MITF (p = .0165) BRCA2 (p = .0206), and MTAP (p = .0393). We also observed a suggestive association for FANCA (p = .002), a gene previously implicated in melanoma survival. The association signal for BRCA2 was driven primarily by likely gene disrupting (LGD) variants, with an Odds Ratio (OR) of 5.62 (95% Confidence Interval (CI) 1.03-30.1). In contrast, the association signals for MC1R and MITF were driven primarily by predicted pathogenic missense variants, with estimated ORs of 1.4 to 3.0 for MC1R and 4.1 for MITF. MTAP exhibited an excess of both LGD and predicted damaging missense variants among cases, with ORs of 5.62 and 3.72, respectively, although neither category was significant. For individuals with known or predicted damaging variants, age of disease onset was significantly lower for two of the four genes, MC1R (p = .005) and MTAP (p = .035). In an analysis of germline carrier status and overlapping copy number alterations, we observed no evidence to support a two-hit model of carcinogenesis in any of the four genes. Although MC1R carriers were represented proportionally among the four molecular tumor subtypes, these individuals accounted for 69% of ultraviolet (UV) radiation mutational signatures among triple-wild type tumors (p = .040), highlighting the increased sensitivity to UV exposure among individuals with loss-of-function variants in MC1R.

Indexed as

Epistasis, GeneticGenetic Predisposition to DiseaseGerm-Line MutationMutation, MissenseFemaleHumansMaleMelanomaNeoplasm ProteinsSkin NeoplasmsNeoplasm ProteinsCancer susceptibility geneCase-control studySkin cutaneous melanomaSomatic-germline interactionWhole exome association analysis

Identifiers

PMID29317335
PMCPMC6501568
OpenAlexW2782353428

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.