Evidence map›Paper›PMID 24728327›Full record

ArticlePloS one2014

Germline variation in cancer-susceptibility genes in a healthy, ancestrally diverse cohort: implications for individual genome sequencing.

Dale L Bodian, Justine N McCutcheon, Prachi Kothiyal, Kathi C Huddleston, Ramaswamy K Iyer, Joseph G Vockley, John E Niederhuber

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

58 citing papers in PubMed, 114 citations in OpenAlex.

  1. Trial
  2. Review
  3. African journal of laboratory medicine · 2026
    Article
  4. Review
  5. Co-occurrence ofAmerican journal of ophthalmology case reports · 2025
    Article
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  16. Classification of the canonical splice alterationCold Spring Harbor molecular case studies · 2022
    Article
  17. Article
  18. Article
  19. GermlineFrontiers in endocrinology · 2021
    Article
  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

7 authors at 1 institution in 1 country.

Dale L BodianInova Translational Medicine Institute, Inova Health System, Falls Church, Virginia, United States of America.
Justine N McCutcheonInova Translational Medicine Institute, Inova Health System, Falls Church, Virginia, United States of America.
Prachi KothiyalInova Translational Medicine Institute, Inova Health System, Falls Church, Virginia, United States of America.
Kathi C HuddlestonInova Translational Medicine Institute, Inova Health System, Falls Church, Virginia, United States of America.
Ramaswamy K IyerInova Translational Medicine Institute, Inova Health System, Falls Church, Virginia, United States of America.
Joseph G VockleyInova Translational Medicine Institute, Inova Health System, Falls Church, Virginia, United States of America.
John E NiederhuberInova Translational Medicine Institute, Inova Health System, Falls Church, Virginia, United States of America.
Inova Health System · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technological advances coupled with decreasing costs are bringing whole genome and whole exome sequencing closer to routine clinical use. One of the hurdles to clinical implementation is the high number of variants of unknown significance. For cancer-susceptibility genes, the difficulty in interpreting the clinical relevance of the genomic variants is compounded by the fact that most of what is known about these variants comes from the study of highly selected populations, such as cancer patients or individuals with a family history of cancer. The genetic variation in known cancer-susceptibility genes in the general population has not been well characterized to date. To address this gap, we profiled the nonsynonymous genomic variation in 158 genes causally implicated in carcinogenesis using high-quality whole genome sequences from an ancestrally diverse cohort of 681 healthy individuals. We found that all individuals carry multiple variants that may impact cancer susceptibility, with an average of 68 variants per individual. Of the 2,688 allelic variants identified within the cohort, most are very rare, with 75% found in only 1 or 2 individuals in our population. Allele frequencies vary between ancestral groups, and there are 21 variants for which the minor allele in one population is the major allele in another. Detailed analysis of a selected subset of 5 clinically important cancer genes, BRCA1, BRCA2, KRAS, TP53, and PTEN, highlights differences between germline variants and reported somatic mutations. The dataset can serve a resource of genetic variation in cancer-susceptibility genes in 6 ancestry groups, an important foundation for the interpretation of cancer risk from personal genome sequences.

Indexed as

Genetic Predisposition to DiseaseHealthSequence Analysis, DNAAdolescentAdultAllelesCohort StudiesFemaleGene FrequencyGene PoolGenes, NeoplasmGenome, HumanGerm-Line MutationHumansMaleMiddle Aged

Identifiers

PMID24728327
PMCPMC3984285
OpenAlexW2063632443

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.