Published in

Nature Research (part of Springer Nature), Nature Communications, (6), p. 5681

DOI: 10.1038/ncomms6681

Links

Tools

Export citation

Search in Google Scholar

Whole-genome sequence-based analysis of thyroid function

Journal article published in 2015 by Shane Mccarthy, Peter N. Taylor, Saeed Al Turki, Eleonora Porcu, Shelby Chew, Maria Soler Artigas, Purdey J. Campbell, Michela Traglia, Suzanne J. Brown, Benjamin H. Mullin, Scott G. Wilson, Saeed Al Turki, Hashem A. Shihab, Carl Anderson, Richard Anney and other authors.
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

Full text: Download

Green circle
Preprint: archiving allowed
Green circle
Postprint: archiving allowed
Green circle
Published version: archiving allowed
Data provided by SHERPA/RoMEO

Abstract

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.