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Items: 1 to 20 of 163

1.

Genomic Risk Prediction of Coronary Artery Disease in 480,000 Adults: Implications for Primary Prevention.

Inouye M, Abraham G, Nelson CP, Wood AM, Sweeting MJ, Dudbridge F, Lai FY, Kaptoge S, Brozynska M, Wang T, Ye S, Webb TR, Rutter MK, Tzoulaki I, Patel RS, Loos RJF, Keavney B, Hemingway H, Thompson J, Watkins H, Deloukas P, Di Angelantonio E, Butterworth AS, Danesh J, Samani NJ; UK Biobank CardioMetabolic Consortium CHD Working Group.

J Am Coll Cardiol. 2018 Oct 16;72(16):1883-1893. doi: 10.1016/j.jacc.2018.07.079.

2.

Age at first birth in women is genetically associated with increased risk of schizophrenia.

Ni G, Gratten J, Wray NR, Lee SH; Schizophrenia Working Group of the Psychiatric Genomics Consortium.

Sci Rep. 2018 Jul 5;8(1):10168. doi: 10.1038/s41598-018-28160-z.

3.

Genomic Dissection of Bipolar Disorder and Schizophrenia, Including 28 Subphenotypes.

Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics Consortium. Electronic address: douglas.ruderfer@vanderbilt.edu; Bipolar Disorder and Schizophrenia Working Group of the Psychiatric Genomics Consortium.

Cell. 2018 Jun 14;173(7):1705-1715.e16. doi: 10.1016/j.cell.2018.05.046.

PMID:
29906448
4.

Using genetic data to strengthen causal inference in observational research.

Pingault JB, O'Reilly PF, Schoeler T, Ploubidis GB, Rijsdijk F, Dudbridge F.

Nat Rev Genet. 2018 Sep;19(9):566-580. doi: 10.1038/s41576-018-0020-3. Review.

PMID:
29872216
5.

Estimation of Genetic Correlation via Linkage Disequilibrium Score Regression and Genomic Restricted Maximum Likelihood.

Ni G, Moser G; Schizophrenia Working Group of the Psychiatric Genomics Consortium, Wray NR, Lee SH.

Am J Hum Genet. 2018 Jun 7;102(6):1185-1194. doi: 10.1016/j.ajhg.2018.03.021. Epub 2018 May 10.

6.

Are your covariates under control? How normalization can re-introduce covariate effects.

Pain O, Dudbridge F, Ronald A.

Eur J Hum Genet. 2018 Aug;26(8):1194-1201. doi: 10.1038/s41431-018-0159-6. Epub 2018 Apr 30.

7.

Genome-wide analysis of adolescent psychotic-like experiences shows genetic overlap with psychiatric disorders.

Pain O, Dudbridge F, Cardno AG, Freeman D, Lu Y, Lundstrom S, Lichtenstein P, Ronald A.

Am J Med Genet B Neuropsychiatr Genet. 2018 Jun;177(4):416-425. doi: 10.1002/ajmg.b.32630. Epub 2018 Mar 31.

8.

Capture Hi-C identifies putative target genes at 33 breast cancer risk loci.

Baxter JS, Leavy OC, Dryden NH, Maguire S, Johnson N, Fedele V, Simigdala N, Martin LA, Andrews S, Wingett SW, Assiotis I, Fenwick K, Chauhan R, Rust AG, Orr N, Dudbridge F, Haider S, Fletcher O.

Nat Commun. 2018 Mar 12;9(1):1028. doi: 10.1038/s41467-018-03411-9.

9.

Epigenome-based cancer risk prediction: rationale, opportunities and challenges.

Widschwendter M, Jones A, Evans I, Reisel D, Dillner J, Sundström K, Steyerberg EW, Vergouwe Y, Wegwarth O, Rebitschek FG, Siebert U, Sroczynski G, de Beaufort ID, Bolt I, Cibula D, Zikan M, Bjørge L, Colombo N, Harbeck N, Dudbridge F, Tasse AM, Knoppers BM, Joly Y, Teschendorff AE, Pashayan N; FORECEE (4C) Consortium.

Nat Rev Clin Oncol. 2018 May;15(5):292-309. doi: 10.1038/nrclinonc.2018.30. Epub 2018 Feb 27. Review.

10.

Expression Quantitative Trait Locus Study of Bone Mineral Density GWAS Variants in Human Osteoclasts.

Mullin BH, Zhu K, Xu J, Brown SJ, Mullin S, Tickner J, Pavlos NJ, Dudbridge F, Walsh JP, Wilson SG.

J Bone Miner Res. 2018 Jun;33(6):1044-1051. doi: 10.1002/jbmr.3412. Epub 2018 Mar 24.

PMID:
29473973
11.

Formalising recall by genotype as an efficient approach to detailed phenotyping and causal inference.

Corbin LJ, Tan VY, Hughes DA, Wade KH, Paul DS, Tansey KE, Butcher F, Dudbridge F, Howson JM, Jallow MW, John C, Kingston N, Lindgren CM, O'Donavan M, O'Rahilly S, Owen MJ, Palmer CNA, Pearson ER, Scott RA, van Heel DA, Whittaker J, Frayling T, Tobin MD, Wain LV, Smith GD, Evans DM, Karpe F, McCarthy MI, Danesh J, Franks PW, Timpson NJ.

Nat Commun. 2018 Feb 19;9(1):711. doi: 10.1038/s41467-018-03109-y. Review.

12.

Mendelian randomization with Egger pleiotropy correction and weakly informative Bayesian priors.

Schmidt AF, Dudbridge F.

Int J Epidemiol. 2018 Aug 1;47(4):1217-1228. doi: 10.1093/ije/dyx254.

13.

Predictive accuracy of combined genetic and environmental risk scores.

Dudbridge F, Pashayan N, Yang J.

Genet Epidemiol. 2018 Feb;42(1):4-19. doi: 10.1002/gepi.22092. Epub 2017 Nov 26.

14.

How many cases of disease in a pedigree imply familial disease?

Dudbridge F, Brown SJ, Ward L, Wilson SG, Walsh JP.

Ann Hum Genet. 2018 Mar;82(2):109-113. doi: 10.1111/ahg.12222. Epub 2017 Oct 23.

15.

Estimation of a significance threshold for epigenome-wide association studies.

Saffari A, Silver MJ, Zavattari P, Moi L, Columbano A, Meaburn EL, Dudbridge F.

Genet Epidemiol. 2018 Feb;42(1):20-33. doi: 10.1002/gepi.22086. Epub 2017 Oct 15.

16.

Impact of Selection Bias on Estimation of Subsequent Event Risk.

Hu YJ, Schmidt AF, Dudbridge F, Holmes MV, Brophy JM, Tragante V, Li Z, Liao P, Quyyumi AA, McCubrey RO, Horne BD, Hingorani AD, Asselbergs FW, Patel RS, Long Q; The GENIUS-CHD Consortium.

Circ Cardiovasc Genet. 2017 Oct;10(5). pii: e001616. doi: 10.1161/CIRCGENETICS.116.001616.

17.

Variants in the fetal genome near FLT1 are associated with risk of preeclampsia.

McGinnis R, Steinthorsdottir V, Williams NO, Thorleifsson G, Shooter S, Hjartardottir S, Bumpstead S, Stefansdottir L, Hildyard L, Sigurdsson JK, Kemp JP, Silva GB, Thomsen LCV, Jääskeläinen T, Kajantie E, Chappell S, Kalsheker N, Moffett A, Hiby S, Lee WK, Padmanabhan S, Simpson NAB, Dolby VA, Staines-Urias E, Engel SM, Haugan A, Trogstad L, Svyatova G, Zakhidova N, Najmutdinova D; FINNPEC Consortium; GOPEC Consortium, Dominiczak AF, Gjessing HK, Casas JP, Dudbridge F, Walker JJ, Pipkin FB, Thorsteinsdottir U, Geirsson RT, Lawlor DA, Iversen AC, Magnus P, Laivuori H, Stefansson K, Morgan L.

Nat Genet. 2017 Aug;49(8):1255-1260. doi: 10.1038/ng.3895. Epub 2017 Jun 19.

18.

Causal Associations of Adiposity and Body Fat Distribution With Coronary Heart Disease, Stroke Subtypes, and Type 2 Diabetes Mellitus: A Mendelian Randomization Analysis.

Dale CE, Fatemifar G, Palmer TM, White J, Prieto-Merino D, Zabaneh D, Engmann JEL, Shah T, Wong A, Warren HR, McLachlan S, Trompet S, Moldovan M, Morris RW, Sofat R, Kumari M, Hyppönen E, Jefferis BJ, Gaunt TR, Ben-Shlomo Y, Zhou A, Gentry-Maharaj A, Ryan A; UCLEB Consortium; METASTROKE Consortium, Mutsert R, Noordam R, Caulfield MJ, Jukema JW, Worrall BB, Munroe PB, Menon U, Power C, Kuh D, Lawlor DA, Humphries SE, Mook-Kanamori DO, Sattar N, Kivimaki M, Price JF, Davey Smith G, Dudbridge F, Hingorani AD, Holmes MV, Casas JP.

Circulation. 2017 Jun 13;135(24):2373-2388. doi: 10.1161/CIRCULATIONAHA.116.026560. Epub 2017 May 12.

19.

Genome-wide association study meta-analysis for quantitative ultrasound parameters of bone identifies five novel loci for broadband ultrasound attenuation.

Mullin BH, Zhao JH, Brown SJ, Perry JRB, Luan J, Zheng HF, Langenberg C, Dudbridge F, Scott R, Wareham NJ, Spector TD, Richards JB, Walsh JP, Wilson SG.

Hum Mol Genet. 2017 Jul 15;26(14):2791-2802. doi: 10.1093/hmg/ddx174.

20.

Genetic correlation between amyotrophic lateral sclerosis and schizophrenia.

McLaughlin RL, Schijven D, van Rheenen W, van Eijk KR, O'Brien M, Kahn RS, Ophoff RA, Goris A, Bradley DG, Al-Chalabi A, van den Berg LH, Luykx JJ, Hardiman O, Veldink JH; Project MinE GWAS Consortium; Schizophrenia Working Group of the Psychiatric Genomics Consortium.

Nat Commun. 2017 Mar 21;8:14774. doi: 10.1038/ncomms14774.

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