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Runs of homozygosity and inbreeding in thyroid cancer

Overview of attention for article published in BMC Cancer, March 2016
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Title
Runs of homozygosity and inbreeding in thyroid cancer
Published in
BMC Cancer, March 2016
DOI 10.1186/s12885-016-2264-7
Pubmed ID
Authors

Hauke Thomsen, Bowang Chen, Gisella Figlioli, Rossella Elisei, Cristina Romei, Monica Cipollini, Alfonso Cristaudo, Franco Bambi, Per Hoffmann, Stefan Herms, Stefano Landi, Kari Hemminki, Federica Gemignani, Asta Försti

Abstract

Genome-wide association studies (GWASs) have identified several single-nucleotide polymorphisms (SNPs) influencing the risk of thyroid cancer (TC). Most cancer predisposition genes identified through GWASs function in a co-dominant manner, and studies have not found evidence for recessively functioning disease loci in TC. Our study examines whether homozygosity is associated with an increased risk of TC and searches for novel recessively acting disease loci. Data from a previously conducted GWAS were used for the estimation of the proportion of phenotypic variance explained by all common SNPs, the detection of runs of homozygosity (ROH) and the determination of inbreeding to unravel their influence on TC. Inbreeding coefficients were significantly higher among cases than controls. Association on a SNP-by-SNP basis was controlled by using the false discovery rate at a level of q* < 0.05, with 34 SNPs representing true differences in homozygosity between cases and controls. The average size, the number and total length of ROHs per person were significantly higher in cases than in controls. A total of 16 recurrent ROHs of rather short length were identified although their association with TC risk was not significant at a genome-wide level. Several recurrent ROHs harbor genes associated with risk of TC. All of the ROHs showed significant evidence for natural selection (iHS, Fst, Fay and Wu's H). Our results support the existence of recessive alleles in TC susceptibility. Although regions of homozygosity were rather small, it might be possible that variants within these ROHs affect TC risk and may function in a recessive manner.

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Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 48 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 17%
Researcher 6 13%
Student > Bachelor 6 13%
Student > Master 5 10%
Student > Doctoral Student 4 8%
Other 7 15%
Unknown 12 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 16 33%
Agricultural and Biological Sciences 7 15%
Medicine and Dentistry 5 10%
Unspecified 1 2%
Nursing and Health Professions 1 2%
Other 3 6%
Unknown 15 31%