Imperial College London
Alternate

ProfessorPaulElliott

Faculty of Medicine, School of Public Health

Chair in Epidemiology and Public Health Medicine
 
 
 
//

Contact

 

+44 (0)20 7594 3328p.elliott Website

 
 
//

Assistant

 

Miss Jennifer Wells +44 (0)20 7594 3328

 
//

Location

 

154Norfolk PlaceSt Mary's Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Gill:2019:10.1371/journal.pmed.1002833,
author = {Gill, D and Benyamin, B and Moore, LSP and Monori, G and Zhou, A and Fotios, K and Evangelou, E and Laffan, M and Walker, AP and Tsilidis, KK and Dehghan, A and Elliott, P and Hyppönen, E and Tzoulaki, I},
doi = {10.1371/journal.pmed.1002833},
journal = {PLoS Medicine},
title = {Associations of genetically determined iron status across the phenome: a mendelian randomization study},
url = {http://dx.doi.org/10.1371/journal.pmed.1002833},
volume = {16},
year = {2019}
}
Download

RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BackgroundIron is integral to many physiological processes and variations in its levels, even within the normal range, can have implications for health. The objective of this study was to explore the broad clinical effects of varying iron status.Methods and FindingsGenome-wide association study summary data obtained from 48,972 European individuals (55% female) across 19 cohorts in the Genetics of Iron Status Consortium were used to identify three genetic variants (rs1800562 and rs1799945 in the hemochromatosis gene, and rs855791 in the transmembrane protease serine 6 gene) that associate with increased serum iron, ferritin and transferrin saturation, and decreased transferrin levels, thus serving as instruments for systemic iron status. Phenome-wide association study (PheWAS) of these instruments was performed on 415,482 European individuals (54% female) in the UK Biobank that were aged 40-69 years when recruited from 2006 to 2010, with their genetic data linked to Hospital Episode Statistics from April 1995 to March 2016. Two-sample summary data Mendelian randomization (MR) analysis was performed to investigate the effect of varying iron status on outcomes across the human phenome. MR-PheWAS analysis for the three iron status genetic instruments was performed separately and then pooled by meta-analysis. Correction was made for testing of multiple correlated phenotypes using a 5% false discovery rate threshold. Heterogeneity between MR estimates for different instruments was used to indicate possible bias due to effects of the genetic variants through pathways unrelated to iron status. There were 904 distinct phenotypes included in the MR-PheWAS analyses. After correcting for multiple testing, the three genetic instruments for systemic iron status demonstrated consistent evidence of a causal effect of higher iron status on decreasing risk of traits related to anemia (iron deficiency anemia: odds ratio [OR] scaled to a standard deviation increase in genetically dete
AU  - Gill,D
AU  - Benyamin,B
AU  - Moore,LSP
AU  - Monori,G
AU  - Zhou,A
AU  - Fotios,K
AU  - Evangelou,E
AU  - Laffan,M
AU  - Walker,AP
AU  - Tsilidis,KK
AU  - Dehghan,A
AU  - Elliott,P
AU  - Hyppönen,E
AU  - Tzoulaki,I
DO  - 10.1371/journal.pmed.1002833
PY  - 2019///
SN  - 1549-1277
TI  - Associations of genetically determined iron status across the phenome: a mendelian randomization study
T2  - PLoS Medicine
UR  - http://dx.doi.org/10.1371/journal.pmed.1002833
UR  - http://hdl.handle.net/10044/1/70662
VL  - 16
ER  -
Download