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Welsh, P. et al. (2018) Comparison between high-sensitivity cardiac troponin T and cardiac troponin I in a large general population cohort. Clinical Chemistry, 64(11), pp. 1607-1616. (doi:10.1373/clinchem.2018.292086) (PMID:30126950)

Prins, B. P. et al. (2018) Exome-chip meta-analysis identifies novel loci associated with cardiac conduction, including ADAMTS6. Genome Biology, 19, 87. (doi:10.1186/s13059-018-1457-6) (PMID:30012220) (PMCID:PMC6048820)

Magnus, M. C., Lawlor, D. A., Iliodromiti, S., Padmanabhan, S. , Nelson, S. M. and Fraser, A. (2018) Age at menarche and cardiometabolic health: a sibling analysis in the Scottish Family Health Study. Journal of the American Heart Association, 7(4), e007780. (doi:10.1161/JAHA.117.007780) (PMID:29440004) (PMCID:PMC5850196)

Zhang, E. et al. (2017) Inherited chromosomally integrated human herpesvirus 6 genomes are ancient, intact, and potentially able to reactivate from telomeres. Journal of Virology, 91(22), e01137-17. (doi:10.1128/JVI.01137-17) (PMID:28835501) (PMCID:PMC5660504)

Zeng, Y. et al. (2017) Genome-wide regional heritability mapping identifies a locus within the TOX2 gene associated with major depressive disorder. Biological Psychiatry, 82(5), pp. 312-321. (doi:10.1016/j.biopsych.2016.12.012) (PMID:28153336)

Howard, D. M. et al. (2017) Haplotype-based association analysis of general cognitive ability in Generation Scotland, the English Longitudinal Study of Ageing, and UK Biobank. Wellcome Open Research, 2, 61. (doi:10.12688/wellcomeopenres.12171.1) (PMID:28989979) (PMCID:PMC5605947)

Zhang, Z.‐Y. et al. (2017) Novel urinary peptidomic classifier predicts incident heart failure. Journal of the American Heart Association, 6(8), e005432. (doi:10.1161/JAHA.116.005432) (PMID:28784649) (PMCID:PMC5586413)

Wigmore, E. M. et al. (2017) Do regional brain volumes and major depressive disorder share genetic architecture? A study of Generation Scotland (n=19 762), UK Biobank (n=24 048) and the English Longitudinal Study of Ageing (n=5766). Translational Psychiatry, 7(8), e1205. (doi:10.1038/tp.2017.148) (PMID:28809859)

Justice, A. E. et al. (2017) Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits. Nature Communications, 8, 14977. (doi:10.1038/ncomms14977) (PMID:28443625) (PMCID:PMC5414044)

Clarke, T.-K. et al. (2017) Investigating shared aetiology between type 2 diabetes and major depressive disorder in a population based cohort. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics, 174(3), pp. 227-234. (doi:10.1002/ajmg.b.32478) (PMID:27480393) (PMCID:PMC5363226)

Nagy, R. et al. (2017) Exploration of haplotype research consortium imputation for genome-wide association studies in 20,032 Generation Scotland participants. Genome Medicine, 9, 23. (doi:10.1186/s13073-017-0414-4) (PMID:28270201) (PMCID:PMC5339960)

van Hecke, O. et al. (2017) Chronic pain, depression and cardiovascular disease linked through a shared genetic predisposition: Analysis of a family-based cohort and twin study. PLoS ONE, 12(2), e0170653. (doi:10.1371/journal.pone.0170653) (PMID:28225781) (PMCID:PMC5321424)

Zeng, Y. et al. (2017) A combined pathway and regional heritability analysis indicates NETRIN1 pathway is associated with major depressive disorder. Biological Psychiatry, 81(4), pp. 336-346. (doi:10.1016/j.biopsych.2016.04.017) (PMID:27422368) (PMCID:PMC5262437)

Power, R. A. et al. (2017) Genome-wide association for major depression through age at onset stratification: major depressive disorder working group of the psychiatric genomics consortium. Biological Psychiatry, 81(4), pp. 325-335. (doi:10.1016/j.biopsych.2016.05.010) (PMID:27519822)

Zeng, Y. et al. (2016) Shared genetics and couple-associated environment are major contributors to the risk of both clinical and self-declared depression. EBioMedicine, 14, pp. 161-167. (doi:10.1016/j.ebiom.2016.11.003) (PMID:27838479) (PMCID:PMC5161419)

McIntosh, A. M. et al. (2016) Genetic and environmental risk for chronic pain and the contribution of risk variants for major depressive disorder: a family-based mixed-model analysis. PLoS Medicine, 13(8), e1002090. (doi:10.1371/journal.pmed.1002090) (PMID:27529168) (PMCID:PMC4987025)

Yaghootkar, H. et al. (2016) Genetic evidence for a link between favorable adiposity and lower risk of type 2 diabetes, hypertension, and heart disease. Diabetes, 65(8), pp. 2448-2460. (doi:10.2337/db15-1671) (PMID:27207519)

Davies, G. et al. (2016) Genome-wide association study of cognitive functions and educational attainment in UK Biobank (N=112 151). Molecular Psychiatry, 21, pp. 758-767. (doi:10.1038/mp.2016.45)

Clarke, T.-K. et al. (2016) Common polygenic risk for autism spectrum disorder (ASD) is associated with cognitive ability in the general population. Molecular Psychiatry, 21(3), pp. 419-425. (doi:10.1038/mp.2015.12) (PMID:25754080) (PMCID:PMC4759203)

Clarke, T.-K. et al. (2016) Polygenic risk for alcohol dependence associates with alcohol consumption, cognitive function and social deprivation in a population-based cohort. Addiction Biology, 21(2), pp. 469-480. (doi:10.1111/adb.12245) (PMID:25865819) (PMCID:PMC4600406)

Rahbari, R. et al. (2016) Timing, rates and spectra of human germline mutation. Nature Genetics, 48(2), pp. 126-133. (doi:10.1038/ng.3469) (PMID:26656846) (PMCID:PMC4731925)

Smith, D.J. et al. (2016) Genome-wide analysis of over 106 000 individuals identifies 9 neuroticism-associated loci. Molecular Psychiatry, 21(6), pp. 749-757. (doi:10.1038/mp.2016.49) (PMID:27067015)

Artigas, M. S. et al. (2015) Sixteen new lung function signals identified through 1000 Genomes Project reference panel imputation. Nature Communications, 6, 8658. (doi:10.1038/ncomms9658) (PMID:26635082) (PMCID:PMC4686825)

Ebmeier, K. et al. (2015) Epidemiology and heritability of major depressive disorder, stratified by age of onset, sex, and illness course in Generation Scotland: Scottish Family Health Study (GS:SFHS). PLoS ONE, 10(11), e0142197. (doi:10.1371/journal.pone.0142197) (PMID:6571028) (PMCID:PMC4646689)

Wei, W. et al. (2015) Copy number variation in the human Y chromosome in the UK population. Human Genetics, 134(7), pp. 789-800. (doi:10.1007/s00439-015-1562-5) (PMID:25957587)

King, D.A. et al. (2015) Mosaic structural variation in children with developmental disorders. Human Molecular Genetics, 24(10), pp. 2733-2745. (doi:10.1093/hmg/ddv033) (PMID:25634561) (PMCID:PMC4406290)

Wessel, J. et al. (2015) Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility. Nature Communications, 6, 5897. (doi:10.1038/ncomms6897) (PMID:25631608) (PMCID:PMC4311266)

van Leeuwen, E. M. et al. (2015) Genome of the Netherlands population-specific imputations identify an ABCA6 variant associated with cholesterol levels. Nature Communications, 6, 6065. (doi:10.1038/ncomms7065) (PMID:25751400) (PMCID:PMC4366498)

Norsworthy, P. J. et al. (2014) Targeted genetic testing for familial hypercholesterolaemia using next generation sequencing: a population-based study. BMC Medical Genetics, 15(1), p. 70. (doi:10.1186/1471-2350-15-70)

Smith, B. H. et al. (2013) Cohort Profile: Generation Scotland: Scottish Family Health Study (GS:SFHS). The study, its participants and their potential for genetic research on health and illness. International Journal of Epidemiology, 42(3), pp. 689-700. (doi:10.1093/ije/dys084)

This list was generated on Thu Dec 12 04:45:36 2019 GMT.