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Novel Associations for Hypothyroidism Include Known Autoimmune Risk Loci

Overview of attention for article published in PLOS ONE, April 2012
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Title
Novel Associations for Hypothyroidism Include Known Autoimmune Risk Loci
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0034442
Pubmed ID
Authors

Nicholas Eriksson, Joyce Y. Tung, Amy K. Kiefer, David A. Hinds, Uta Francke, Joanna L. Mountain, Chuong B.

Abstract

Hypothyroidism is the most common thyroid disorder, affecting about 5% of the general population. Here we present the current largest genome-wide association study of hypothyroidism, in 3,736 cases and 35,546 controls. Hypothyroidism was assessed via web-based questionnaires. We identify five genome-wide significant associations, three of which are well known to be involved in a large spectrum of autoimmune diseases: rs6679677 near PTPN22, rs3184504 in SH2B3, and rs2517532 in the HLA class I region (p-values 2.8·10(-13), 2.6·10(-12), and 1.3·10(-8), respectively). We also report associations with rs4915077 near VAV3 (p-value 7.5·10(-10)) and rs925489 near FOXE1 (p value 2.4·10(-19)). VAV3 is involved in immune function, and FOXE1 and PTPN22 have previously been associated with hypothyroidism. Although the HLA class I region and SH2B3 have previously been linked with a number of autoimmune diseases, this is the first report of their association with thyroid disease. The VAV3 association is also novel. We also show suggestive evidence of association for hypothyroidism with a SNP in the HLA class II region (independent of the other HLA association) as well as SNPs in CAPZB, PDE8B, and CTLA4. CAPZB and PDE8B have been linked to TSH levels and CTLA4 to a variety of autoimmune diseases. These results suggest heterogeneity in the genetic etiology of hypothyroidism, implicating genes involved in both autoimmune disorders and thyroid function. Using a genetic risk profile score based on the top association from each of the five genome-wide significant regions in our study, the relative risk between the highest and lowest deciles of genetic risk is 2.0.

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Geographical breakdown

Country Count As %
United States 4 3%
United Kingdom 2 2%
Japan 1 <1%
Netherlands 1 <1%
Unknown 120 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 23%
Student > Ph. D. Student 25 20%
Student > Master 16 13%
Student > Bachelor 13 10%
Student > Doctoral Student 5 4%
Other 20 16%
Unknown 19 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 40 31%
Medicine and Dentistry 29 23%
Biochemistry, Genetics and Molecular Biology 19 15%
Social Sciences 3 2%
Immunology and Microbiology 2 2%
Other 13 10%
Unknown 22 17%