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A new panel of SNPs to assess thyroid carcinoma risk: a pilot study in a Brazilian admixture population

Overview of attention for article published in BMC Medical Genomics, November 2017
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Title
A new panel of SNPs to assess thyroid carcinoma risk: a pilot study in a Brazilian admixture population
Published in
BMC Medical Genomics, November 2017
DOI 10.1186/s12881-017-0502-8
Pubmed ID
Authors

Isabelle C. C. dos Santos, Julieta Genre, Diego Marques, Ananília M. G. da Silva, Jéssica C. dos Santos, Jéssica N. G. de Araújo, Victor H. R. Duarte, Angel Carracedo, Maria Torres-Español, Gisele Bastos, Carlos C. de Oliveira Ramos, André D. Luchessi, Vivian N. Silbiger

Abstract

Thyroid cancer is a common malignant disease of the endocrine system with increasing incidence rates over the last few decades. In this study, we sought to analyze the possible association of 45 single nucleotide polymorphisms (SNPs) with thyroid cancer in a population from Rio Grande do Norte, Brazil. Based on histological analysis by a pathologist, 80 normal thyroid specimens of tissue adjacent to thyroid tumors were obtained from the biobank at the Laboratory of Pathology of Liga Norte Riograndense Contra o Câncer, Natal, RN. Patient samples were then genotyped using the MassARRAY platform (Sequenon, Inc) followed by statistical analysis employing the SNPassoc package in R program. The genotypic frequencies of all 45 SNPs obtained from the International HapMap Project database and based on data from the ancestral populations of European and African origin were used to compose the control study group. In our study, the following 9 SNPs showed significant differences in their frequency when comparing the study and control groups: rs3744962, rs258107, rs1461855, rs4075022, rs9943744, rs4075570, rs2356508, rs17485896, and rs2651339. Furthermore, the SNPs rs374492 C/T and rs258107 C/T were associated with a relative risk for thyroid carcinoma of 3.78 (p = 6.27 × 10e-5) and 2.91 (p = 8.27 × 10e-5), respectively, after Bonferroni's correction for multiple comparisons. These nine polymorphisms could be potential biomarkers of predisposition to thyroid carcinoma in the population from Rio Grande do Norte. However, complementary studies including a control group with samples obtained from healthy subjects in Rio Grande do Norte state, should be conducted to confirm these results.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 18%
Student > Ph. D. Student 5 15%
Student > Master 3 9%
Student > Doctoral Student 2 6%
Student > Postgraduate 2 6%
Other 5 15%
Unknown 11 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 18%
Unspecified 3 9%
Agricultural and Biological Sciences 3 9%
Nursing and Health Professions 2 6%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Other 6 18%
Unknown 12 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 November 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from BMC Medical Genomics
#2,010
of 2,444 outputs
Outputs of similar age
#385,137
of 446,042 outputs
Outputs of similar age from BMC Medical Genomics
#36
of 41 outputs
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