Evidence map›Paper›PMID 26664699›Full record

ArticleF1000Research2014

Characterization of population-based variation and putative functional elements for the multiple-cancer susceptibility loci at 5p15.33.

Lisa Mirabello, Charles C Chung, Meredith Yeager, Sharon A Savage

Open access · goldAbstract read
In one paragraph

Article in F1000Research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Lisa MirabelloDivision of Cancer Epidemiology and Genetics, National Cancer Institute,National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20892, USA.
Charles C ChungDivision of Cancer Epidemiology and Genetics, National Cancer Institute,National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20892, USA.
Meredith YeagerCancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, Leidos Biomedical Research, Inc., Frederick, MD 20877, USA.
Sharon A SavageDivision of Cancer Epidemiology and Genetics, National Cancer Institute,National Institutes of Health, Department of Health and Human Services, Bethesda, MD 20892, USA.
National Institutes of Health · USLeidos (United States) · US

Funding

CCR NIH HHS HHSN261200800001CNCI NIH HHS HHSN261200800001E
6 · The paper itself

Abstract

backgroundTERT encodes the telomerase reverse transcriptase, which is responsible for maintaining telomere ends by addition of (TTAGGG) n nucleotide repeats at the telomere.  Recent genome-wide association studies have found common genetic variants at the TERT-CLPTM1L locus (5p15.33) associated with an increased risk of several cancers.

resultsData were acquired for 1627 variants in 1092 unrelated individuals from 14 populations within the 1000 Genomes Project.  We assessed the population genetics of the 5p15.33 region, including recombination hotspots, diversity, heterozygosity, differentiation among populations, and potential functional impacts. There were significantly lower polymorphism rates, divergence, and heterozygosity for the coding variants, particularly for non-synonymous sites, compared with non-coding and silent changes. Many of the cancer-associated SNPs had differing genotype frequencies among ancestral groups and were associated with potential regulatory changes.

conclusionsSurrogate SNPs in linkage disequilibrium with the majority of cancer-associated SNPs were functional variants with a likely role in regulation of TERT and/or CLPTM1L.  Our findings highlight several SNPs that future studies should prioritize for evaluation of functional consequences.

Indexed as

TERT, CLPTM1L, population genetics, 5p15.33

Identifiers

PMID26664699
PMCPMC4654438
OpenAlexW1983412714

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.