Whole-genome sequence-based analysis of thyroid function
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- Whole-genome sequence-based analysis of thyroid function
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Normal thyroid function is essential for health, but its genetic architecture remains poorly understood. Here, for the heritable thyroid traits thyrotropin (TSH) and free thyroxine (FT4), we analyse whole-genome sequence data from the UK10K project (N = 2,287). Using additional whole-genome sequence and deeply imputed data sets, we report meta-analysis results for common variants (MAF ≥ 1%) associated with TSH and FT4 (N = 16,335). For TSH, we identify a novel variant in SYN2 (MAF = 23.5%, P = 6.15 × 10-9) and a new independent variant in PDE8B (MAF = 10.4%, P = 5.94 × 10-14). For FT4, we report a low-frequency variant near B4GALT6/SLC25A52 (MAF=3.2%, P = 1.27 × 10-9) tagging a rare TTR variant (MAF = 0.4%, P=2.14 × 10-11). All common variants explain ≥ 20% of the variance in TSH and FT4. Analysis of rare variants (MAF <1%) using sequence kernel association testing reveals a novel association with FT4 in NRG1. Our results demonstrate that increased coverage in whole-genome sequence association studies identifies novel variants associated with thyroid function.
Original language | English |
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Article number | 5681 |
Journal | Nature Communications |
Volume | 6 |
Number of pages | 11 |
ISSN | 2041-1723 |
DOIs | |
Publication status | Published - 2015 |
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