Evidence map›Paper›PMID 23659773›Full record

ArticleThyroid : official journal of the American Thyroid Association2013

Cumulative risk impact of five genetic variants associated with papillary thyroid carcinoma.

Sandya Liyanarachchi, Anna Wojcicka, Wei Li, Malgorzata Czetwertynska, Elzbieta Stachlewska, Rebecca Nagy, Kevin Hoag, Bernard Wen, Rafal Ploski, Matthew D Ringel and 5 more

Open access · greenAbstract read
In one paragraph

Article in Thyroid : official journal of the American Thyroid Association, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 11 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 11 pooled it
6.3field-weighted citation impact, top 3% 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

51 citing papers in PubMed, 11 syntheses or guidelines pooled it, 71 citations in OpenAlex.

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  10. Common genetic variants on FOXE1 contributes to thyroid cancer susceptibility: evidence based on 16 studies.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
    Pooled it
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  12. Article
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  15. Multiple sclerosis and genetic polymorphisms in fibrinogen-mediated hemostatic pathways: a case-control study.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2022
    Article
  16. Genetic susceptibility to hereditary non-medullary thyroid cancer.Hereditary cancer in clinical practice · 2022
    Review
  17. Endocrine oncology (Bristol, England) · 2021
    Article
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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

15 authors at 4 institutions in 2 countries.

Sandya Liyanarachchi1 Human Cancer Genetics Program and Department of Molecular Virology, Immunology, and Medical Genetics, Ohio State University Comprehensive Cancer Center, The Ohio State University , Columbus, Ohio.
Anna Wojcicka
Wei Li
Malgorzata Czetwertynska
Elzbieta Stachlewska
Rebecca Nagy
Kevin Hoag
Bernard Wen
Rafal Ploski
Matthew D Ringel
Izabella Kozłowicz-Gudzinska
Wojciech Gierlikowski
Krystian Jazdzewski
Huiling He
Albert de la Chapelle
Cancer Genetics (United States) · USMedical University of Warsaw · PLThe Maria Sklodowska-Curie National Research Institute of Oncology · PLThe Ohio State University · US

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
Selective Modulation of Thyroidal RadioiodineP01CA124570 · NCI · OHIO STATE UNIVERSITY · PI RINGEL, MATTHEW D · 2008 to 2017
$23.4M
NCI NIH HHS P01 CA124570NCI NIH HHS P01CA124570NCI NIH HHS P30 CA016058NCI NIH HHS P30CA16058
6 · The paper itself

Abstract

backgroundTwo recent genome-wide association studies (GWASs) identified five single nucleotide polymorphisms (SNPs; rs965513, rs944289, rs966423, rs2439302, and rs116909374) associated with papillary thyroid carcinoma (PTC). Each variant showed highly significant but moderate to low disease risk. Here we assessed the cumulative risk and predictive value of the five SNPs.

methodsWe genotyped two cohorts of individuals, 747 PTC cases and 1047 controls from Ohio and 1795 PTC cases and 2090 controls from Poland. Cumulative genetic risk scores were calculated using unweighted and weighted approaches.

resultsAll five SNPs showed significant association with PTC. The average cumulative risk score in cases was significantly higher than in controls (p<2.2×10(-16)). Each additional risk allele increased the risk of having PTC by 1.51 [95% confidence interval (CI) 1.4, 1.64] in Ohio and by 1.35 [95% CI 1.27, 1.44] in Poland. An analysis was performed weighing risk alleles by effect size and assigning individuals to three weighted risk score groups, low (≤2), medium (2-5), and high (>5). Individuals in the high group were significantly more susceptible to PTC compared with individuals in the low group with an odds ratio of 8.7 [95% CI 5.8, 13.3] in Ohio and 4.24 [95% CI 3.10, 5.84] in Poland. Almost identical results were obtained when follicular variant PTCs and microPTCs were omitted. These five SNPs explained 11% of the familial risk of thyroid cancer in the Ohio cohort and 6% in the Polish cohort.

conclusionAs the genetic risk score increases, the risk of having PTC increases. However, the predictive power of the cumulative effect of these five variants is only moderately high and clinical use may not be feasible until more variants are detected.

Indexed as

Genetic Predisposition to DiseasePolymorphism, Single NucleotideAdultAllelesCarcinoma, PapillaryCase-Control StudiesFemaleGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedRisk FactorsThyroid Neoplasms

Identifiers

PMID23659773
PMCPMC3868253
OpenAlexW2220913161

What OpenQuestion holds

Textmetadata
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.