@article{HarrisSE2016,
title = {Molecular genetic contributions to self-rated health},
author = {Harris, Sarah E.
Hagenaars, Saskia P.
Davies, Gail
David Hill, W.
Liewald, David C. M.
Ritchie, Stuart J.
Marioni, Riccardo E.
Sudlow, Cathie L. M.
Wardlaw, Joanna M.
McIntosh, Andrew M.
Gale, Catharine R.
Deary, Ian J.
Metastroke Consortium, International Consortium for Blood Pressure Genome-Wide Association Studies Charge Consortium Aging
Longevity Group, Charge Consortium Cognitive Group},
url = {http://ije.oxfordjournals.org/content/early/2016/11/10/ije.dyw219.full},
year = {2016},
date = {2016-11-17},
journal = {International Journal of Epidemiology},
abstract = {BACKGROUND: Poorer self-rated health (SRH) predicts worse health outcomes, even when adjusted for objective measures of disease at time of rating. Twin studies indicate SRH has a heritability of up to 60% and that its genetic architecture may overlap with that of personality and cognition.; METHODS: We carried out a genome-wide association study (GWAS) of SRH on 111 749 members of the UK Biobank sample. Univariate genome-wide complex trait analysis (GCTA)-GREML analyses were used to estimate the proportion of variance explained by all common autosomal single nucleotide polymorphisms (SNPs) for SRH. Linkage disequilibrium (LD) score regression and polygenic risk scoring, two complementary methods, were used to investigate pleiotropy between SRH in the UK Biobank and up to 21 health-related and personality and cognitive traits from published GWAS consortia.; RESULTS: The GWAS identified 13 independent signals associated with SRH, including several in regions previously associated with diseases or disease-related traits. The strongest signal was on chromosome 2 (rs2360675, P = 1.77 x 10(-10)) close to KLF7 A second strong peak was identified on chromosome 6 in the major histocompatibility region (rs76380179, P = 6.15 x 10(-10)). The proportion of variance in SRH that was explained by all common genetic variants was 13%. Polygenic scores for the following traits and disorders were associated with SRH: cognitive ability, education, neuroticism, body mass index (BMI), longevity, attention-deficit hyperactivity disorder (ADHD), major depressive disorder, schizophrenia, lung function, blood pressure, coronary artery disease, large vessel disease stroke and type 2 diabetes.; CONCLUSIONS: Individual differences in how people respond to a single item on SRH are partly explained by their genetic propensity to many common psychiatric and physical disorders and psychological traits. The Author 2016. Published by Oxford University Press on behalf of the International Epidemiological Association.},
keywords = {Genetic, heritability, pleiotrophy, polygenic score, self-rated health},
pubstate = {published},
tppubtype = {article}
}

@misc{Miller2015,
title = {INFLAMMATION AND COPD The Uk Bileve Study: The First Genetic Study In Uk Biobank Identifies Novel Regions Associated With Airway Obstruction And Smoking Behaviour},
author = {Suzanne Miller and Louise Wain and Nick Shrine and Ioanna Ntalla and James Cook and Ian Sayers and Andrew Morris and Eleftheria Zeggini and Jonathan Marchini and Panos Deloukas and Anna Hansell and Richard Hubbard and Ian Pavord and Neil Thomson and David Strachan and Martin Tobin and Ian Hall


},
url = {http://www.atsjournals.org/doi/pdf/10.1164/ajrccm-conference.2015.191.1_MeetingAbstracts.A2714},
year = {2015},
date = {2015-05-18},
keywords = {Genetic, lung function, smoking},
pubstate = {published},
tppubtype = {presentation}
}