SORA

Advancing, promoting and sharing knowledge of health through excellence in teaching, clinical practice and research into the prevention and treatment of illness

Meta-analysis of exome array data identifies six novel genetic loci for lung function

Jackson, VE; Latourelle, JC; Wain, LV; Smith, AV; Grove, ML; Bartz, TM; Obeidat, M; Province, MA; Gao, W; Qaiser, B; et al. Jackson, VE; Latourelle, JC; Wain, LV; Smith, AV; Grove, ML; Bartz, TM; Obeidat, M; Province, MA; Gao, W; Qaiser, B; Porteous, DJ; Cassano, PA; Ahluwalia, TS; Grarup, N; Li, J; Altmaier, E; Marten, J; Harris, SE; Manichaikul, A; Pottinger, TD; Li-Gao, R; Lind-Thomsen, A; Mahajan, A; Lahousse, L; Imboden, M; Teumer, A; Prins, B; Lyytikäinen, L-P; Eiriksdottir, G; Franceschini, N; Sitlani, CM; Brody, JA; Bossé, Y; Timens, W; Kraja, A; Loukola, A; Tang, W; Liu, Y; Bork-Jensen, J; Justesen, JM; Linneberg, A; Lange, LA; Rawal, R; Karrasch, S; Huffman, JE; Smith, BH; Davies, G; Burkart, KM; Mychaleckyj, JC; Bonten, TN; Enroth, S; Lind, L; Bruselle, GG; Kumar, A; Stubbe, B; Understanding Society Scientific Group; Kähönen, M; Wyss, AB; Psaty, BM; Heckbert, SR; Hao, K; Rantanen, T; Kritchevsky, SB; Lohman, K; Skaaby, T; Pisinger, C; Hansen, T; Schulz, H; Polasek, O; Campbell, A; Starr, JM; Rich, S; Mook-Kanamori, DO; Johansson, Å; Ingelsson, E; Uitterlinden, AG; Weiss, S; Raitakari, OT; Gudnason, V; North, KE; Gharib, SA; Sin, DD; Taylor, KD; O'Connor, GT; Kaprio, J; Harris, TB; Pederson, O; Vestergaard, H; Wilson, JG; Strauch, K; Hayward, C; Kerr, S; Deary, I; Barr, RG; de Mutsert, R; Gyllensten, U; Morris, AP; Ikram, MA; Probst-Hensch, N; Gläser, S; Zeggini, E; Lehtimäki, T; Strachan, DP; Dupuis, J; Morrison, AC; Hall, IP; Tobin, MD; London, SJ (2018) Meta-analysis of exome array data identifies six novel genetic loci for lung function. Wellcome Open Research, 3. p. 4. ISSN 2398-502X https://doi.org/10.12688/wellcomeopenres.12583.3
SGUL Authors: Strachan, David Peter

[img]
Preview
PDF Published Version
Available under License Creative Commons Attribution.

Download (1MB) | Preview

Abstract

Background: Over 90 regions of the genome have been associated with lung function to date, many of which have also been implicated in chronic obstructive pulmonary disease. Methods: We carried out meta-analyses of exome array data and three lung function measures: forced expiratory volume in one second (FEV1), forced vital capacity (FVC) and the ratio of FEV1 to FVC (FEV1/FVC). These analyses by the SpiroMeta and CHARGE consortia included 60,749 individuals of European ancestry from 23 studies, and 7,721 individuals of African Ancestry from 5 studies in the discovery stage, with follow-up in up to 111,556 independent individuals. Results: We identified significant (P<2·8x10-7) associations with six SNPs: a nonsynonymous variant in RPAP1, which is predicted to be damaging, three intronic SNPs (SEC24C, CASC17 and UQCC1) and two intergenic SNPs near to LY86 and FGF10. Expression quantitative trait loci analyses found evidence for regulation of gene expression at three signals and implicated several genes, including TYRO3 and PLAU. Conclusions: Further interrogation of these loci could provide greater understanding of the determinants of lung function and pulmonary disease.

Item Type: Article
Additional Information: Copyright: © 2018 Jackson VE et al. This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The author(s) is/are employees of the US Government and therefore domestic copyright protection in USA does not apply to this work. The work may be protected under the copyright laws of other jurisdictions when used in those jurisdictions.
SGUL Research Institute / Research Centre: Academic Structure > Population Health Research Institute (INPH)
Journal or Publication Title: Wellcome Open Research
ISSN: 2398-502X
Dates:
DateEvent
7 August 2018Published
21 June 2018Published
12 January 2018Published Online
12 January 2018Accepted
Publisher License: Creative Commons: Attribution 4.0
Projects:
Project IDFunderFunder ID
G0501942Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
G0902313Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
MR/N011317/1Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
G1000861Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
G0000934Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
068545/Z/02Wellcome Trusthttp://dx.doi.org/10.13039/100004440
WT098017Wellcome Trusthttp://dx.doi.org/10.13039/100004440
WT098051Wellcome Trusthttp://dx.doi.org/10.13039/100004440
WT064890Wellcome Trusthttp://dx.doi.org/10.13039/100004440
ES/H029745/1Economic and Social Research Councilhttp://dx.doi.org/10.13039/501100000269
WT 084703MAWellcome Trusthttp://dx.doi.org/10.13039/100004440
MR/K026992/1Medical Research Councilhttp://dx.doi.org/10.13039/501100000265
URI: https://openaccess.sgul.ac.uk/id/eprint/109558
Publisher's version: https://doi.org/10.12688/wellcomeopenres.12583.3

Actions (login required)

Edit Item Edit Item