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Whole-genome sequence-based analysis of thyroid function

Taylor, Peter N., Porcu, Eleonora, Chew, Shelby, Campbell, Purdey J., Traglia, Michela, Brown, Suzanne J., Mullin, Benjamin H., Shihab, Hashem A., Min, Josine, Walter, Klaudia, Memari, Yasin, Huang, Jie, Barnes, Michael R., Beilby, John P., Charoen, Pimphen, Danecek, Petr, Dudbridge, Frank, Forgetta, Vincenzo, Greenwood, Celia, Grundberg, Elin, Johnson, Andrew D., Hui, Jennie, Lim, Ee M., McCarthy, Shane, Muddyman, Dawn, Panicker, Vijay, Perry, John R.B., Bell, Jordana T., Yuan, Wei, Relton, Caroline, Gaunt, Tom, Schlessinger, David, Abecasis, Goncalo, Cucca, Francesco, Surdulescu, Gabriela L., Woltersdorf, Wolfram, Zeggini, Eleftheria, Zheng, Hou-Feng, Toniolo, Daniela, Dayan, Colin M., Naitza, Silvia, Walsh, John P., Spector, Tim, Davey Smith, George, Durbin, Richard, Brent Richards, J., Sanna, Serena, Soranzo, Nicole, Timpson, Nicholas J., Wilson, Scott G., Turki, Saeed Al, Anderson, Carl, Anney, Richard, Antony, Dinu, Artigas, Maria Soler, Ayub, Muhammad, Balasubramaniam, Senduran, Barrett, Jeffrey C., Barroso, Inês, Beales, Phil, Bentham, Jamie, Bhattacharya, Shoumo, Birney, Ewan, Blackwood, Douglas, Bobrow, Martin, Bochukova, Elena, Bolton, Patrick, Bounds, Rebecca, Boustred, Chris, Breen, Gerome, Calissano, Mattia, Carss, Keren, Chatterjee, Krishna, Chen, Lu, Ciampi, Antonio, Cirak, Sebhattin, Clapham, Peter, Clement, Gail, Coates, Guy, Collier, David, Cosgrove, Catherine, Cox, Tony, Craddock, Nicholas John, Crooks, Lucy, Curran, Sarah, Curtis, David, Daly, Allan, Day-Williams, Aaron, Day, Ian N.M., Down, Thomas, Du, Yuanping, Dunham, Ian, Edkins, Sarah, Ellis, Peter, Evans, David, Faroogi, Sadaf, Fatemifar, Ghazaleh, Fitzpatrick, David R., Flicek, Paul, Flyod, James, Foley, A. Reghan, Franklin, Christopher S., Futema, Marta, Gallagher, Louise, Geihs, Matthias, Geschwind, Daniel, Griffin, Heather, Grozeva, Detelina, Guo, Xueqin, Guo, Xiaosen, Gurling, Hugh, Hart, Deborah, Hendricks, Audrey, Holmans, Peter Alan, Howie, Bryan, Huang, Liren, Hubbard, Tim, Humphries, Steve E., Hurles, Matthew E., Hysi, Pirro, Jackson, David K., Jamshidi, Yalda, Jing, Tian, Joyce, Chris, Kaye, Jane, Keane, Thomas, Keogh, Julia, Kemp, John, Kennedy, Karen, Kolb-Kokocinski, Anja, Lachance, Genevieve, Langford, Cordelia, Lawson, Daniel, Lee, Irene, Lek, Monkol, Liang, Jieqin, Lin, Hong, Li, Rui, Li, Yingrui, Liu, Ryan, Lönnqvist, Jouko, Lopes, Margarida, Lotchkova, Valentina, MacArthur, Daniel, Marchini, Jonathan, Maslen, John, Massimo, Mangino, Mathieson, Iain, Marenne, Gaëlle, McGuffin, Peter, McIntosh, Andrew, McKechanie, Andrew G., McQuillin, Andrew, Metrustry, Sarah, Mitchison, Hannah, Moayyeri, Alireza, Morris, James, Muntoni, Francesco, Northstone, Kate, O'Donovan, Michael Conlon, Onoufriadis, Alexandros, O'Rahilly, Stephen, Oualkacha, Karim, Owen, Michael John, Palotie, Aarno, Panoutsopoulou, Kalliope, Parker, Victoria, Parr, Jeremy R., Paternoster, Lavinia, Paunio, Tiina, Payne, Felicity, Pietilainen, Olli, Plagnol, Vincent, Quaye, Lydia, Quai, Michael A., Raymond, Lucy, Rehnström, Karola, Richards, Brent, Ring, Susan, Ritchie, Graham R.S., Roberts, Nicola, Savage, David B., Scambler, Peter, Schiffels, Stephen, Schmidts, Miriam, Schoenmakers, Nadia, Semple, Robert K., Serra, Eva, Sharp, Sally I., Shin, So-Youn, Skuse, David, Small, Kerrin, Southam, Lorraine, Spasic-Boskovic, Olivera, Clair, David St, Stalker, Jim, Stevens, Elizabeth, Pourcian, Beate St, Sun, Jianping, Suvisaari, Jaana, Tachmazidou, Ionna, Tobin, Martin D., Valdes, Ana, Kogelenberg, Margriet Van, Vijayarangakannan, Parthiban, Visscher, Peter M., Wain, Louise V., Walters, James Tynan Rhys, Wang, Guangbiao, Wang, Jun, Wang, Yu, Ward, Kirsten, Wheeler, Elanor, Whyte, Tamieka, Williams, Hywel, Williamson, Kathleen A., Wilson, Crispian, Wong, Kim, Xu, ChangJiang, Yang, Jian, Zhang, Fend and Zhang, Pingbo 2015. Whole-genome sequence-based analysis of thyroid function. Nature Communications 6 , p. 5681. 10.1038/ncomms6681

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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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: MRC Centre for Neuropsychiatric Genetics and Genomics (CNGG)
Medicine
Neuroscience and Mental Health Research Institute (NMHRI)
Subjects: R Medicine > R Medicine (General)
Additional Information: Nick Craddock, Peter Holmans, Michael O'Donovan, Michael Owen and James Walters are collaborators on this article.
Publisher: Nature Publishing Group
ISSN: 2041-1723
Date of First Compliant Deposit: 13 September 2017
Date of Acceptance: 27 October 2014
Last Modified: 12 Jun 2019 12:18
URI: http://orca.cf.ac.uk/id/eprint/85638

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