Format
Sort by
Items per page

Send to

Choose Destination

Search results

Items: 1 to 20 of 163

1.

Liver Function and Risk of Type 2 Diabetes: Bidirectional Mendelian Randomization Study.

De Silva NMG, Borges MC, Hingorani A, Engmann J, Shah T, Zhang X, Luan J, Langenberg C, Wong A, Kuh D, Chambers JC, Zhang W, Jarvelin MR, Sebert S, Auvinen J; UCLEB consortium, Gaunt TR, Lawlor DA.

Diabetes. 2019 May 14. pii: db181048. doi: 10.2337/db18-1048. [Epub ahead of print]

PMID:
31088856
2.

Genetic determinants of circulating haptoglobin concentration.

Kazmi N, Koda Y, Ndiaye NC, Visvikis-Siest S, Morton MJ, Gaunt TR, Galea I.

Clin Chim Acta. 2019 Jul;494:138-142. doi: 10.1016/j.cca.2019.03.1617. Epub 2019 Mar 18.

3.

Leveraging brain cortex-derived molecular data to elucidate epigenetic and transcriptomic drivers of complex traits and disease.

Hatcher C, Relton CL, Gaunt TR, Richardson TG.

Transl Psychiatry. 2019 Feb 28;9(1):105. doi: 10.1038/s41398-019-0437-2.

4.

Searching for the causal effects of body mass index in over 300 000 participants in UK Biobank, using Mendelian randomization.

Millard LAC, Davies NM, Tilling K, Gaunt TR, Davey Smith G.

PLoS Genet. 2019 Feb 1;15(2):e1007951. doi: 10.1371/journal.pgen.1007951. eCollection 2019 Feb.

5.

A genome-wide association study of mitochondrial DNA copy number in two population-based cohorts.

Guyatt AL, Brennan RR, Burrows K, Guthrie PAI, Ascione R, Ring SM, Gaunt TR, Pyle A, Cordell HJ, Lawlor DA, Chinnery PF, Hudson G, Rodriguez S.

Hum Genomics. 2019 Jan 31;13(1):6. doi: 10.1186/s40246-018-0190-2.

6.

Prioritizing putative influential genes in cardiovascular disease susceptibility by applying tissue-specific Mendelian randomization.

Taylor K, Davey Smith G, Relton CL, Gaunt TR, Richardson TG.

Genome Med. 2019 Jan 31;11(1):6. doi: 10.1186/s13073-019-0613-2.

7.

Identification of new therapeutic targets for osteoarthritis through genome-wide analyses of UK Biobank data.

Tachmazidou I, Hatzikotoulas K, Southam L, Esparza-Gordillo J, Haberland V, Zheng J, Johnson T, Koprulu M, Zengini E, Steinberg J, Wilkinson JM, Bhatnagar S, Hoffman JD, Buchan N, Süveges D; arcOGEN Consortium, Yerges-Armstrong L, Smith GD, Gaunt TR, Scott RA, McCarthy LC, Zeggini E.

Nat Genet. 2019 Feb;51(2):230-236. doi: 10.1038/s41588-018-0327-1. Epub 2019 Jan 21.

PMID:
30664745
8.

Low-frequency variation in TP53 has large effects on head circumference and intracranial volume.

Haworth S, Shapland CY, Hayward C, Prins BP, Felix JF, Medina-Gomez C, Rivadeneira F, Wang C, Ahluwalia TS, Vrijheid M, Guxens M, Sunyer J, Tachmazidou I, Walter K, Iotchkova V, Jackson A, Cleal L, Huffmann J, Min JL, Sass L, Timmers PRHJ; UK10K consortium, Davey Smith G, Fisher SE, Wilson JF, Cole TJ, Fernandez-Orth D, Bønnelykke K, Bisgaard H, Pennell CE, Jaddoe VWV, Dedoussis G, Timpson N, Zeggini E, Vitart V, St Pourcain B.

Nat Commun. 2019 Jan 21;10(1):357. doi: 10.1038/s41467-018-07863-x.

9.

Early life adiposity and telomere length across the life course: a systematic review and meta-analysis.

Guyatt AL, Rodriguez S, Gaunt TR, Fraser A, Anderson EL.

Version 2. Wellcome Open Res. 2018 Aug 7 [revised 2018 Jan 1];2:118. doi: 10.12688/wellcomeopenres.13083.2. eCollection 2017.

10.

Author Correction: Discovery and refinement of genetic loci associated with cardiometabolic risk using dense imputation maps.

Iotchkova V, Huang J, Morris JA, Jain D, Barbieri C, Walter K, Min JL, Chen L, Astle W, Cocca M, Deelen P, Elding H, Farmaki AE, Franklin CS, Franberg M, Gaunt TR, Hofman A, Jiang T, Kleber ME, Lachance G, Luan J, Malerba G, Matchan A, Mead D, Memari Y, Ntalla I, Panoutsopoulou K, Pazoki R, Perry JRB, Rivadeneira F, Sabater-Lleal M, Sennblad B, Shin SY, Southam L, Traglia M, van Dijk F, van Leeuwen EM, Zaza G, Zhang W; UK10K Consortium, Amin N, Butterworth A, Chambers JC, Dedoussis G, Dehghan A, Franco OH, Franke L, Frontini M, Gambaro G, Gasparini P, Hamsten A, Isaacs A, Kooner JS, Kooperberg C, Langenberg C, Marz W, Scott RA, Swertz MA, Toniolo D, Uitterlinden AG, van Duijn CM, Watkins H, Zeggini E, Maurano MT, Timpson NJ, Reiner AP, Auer PL, Soranzo N.

Nat Genet. 2018 Dec;50(12):1752. doi: 10.1038/s41588-018-0276-8.

PMID:
30390057
11.

DNA methylation derived systemic inflammation indices are associated with head and neck cancer development and survival.

Ambatipudi S, Langdon R, Richmond RC, Suderman M, Koestler DC, Kelsey KT, Kazmi N, Penfold C, Ho KM, McArdle W, Ring SM, Pring M, Waterboer T, Pawlita M, Gaunt TR, Davey Smith G, Thomas S, Ness AR, Relton CL.

Oral Oncol. 2018 Oct;85:87-94. doi: 10.1016/j.oraloncology.2018.08.021. Epub 2018 Sep 5.

12.

PhenoSpD: an integrated toolkit for phenotypic correlation estimation and multiple testing correction using GWAS summary statistics.

Zheng J, Richardson TG, Millard LAC, Hemani G, Elsworth BL, Raistrick CA, Vilhjalmsson B, Neale BM, Haycock PC, Smith GD, Gaunt TR.

Gigascience. 2018 Aug 1;7(8). doi: 10.1093/gigascience/giy090.

13.

Inflammation-related epigenetic risk and child and adolescent mental health: A prospective study from pregnancy to middle adolescence.

Barker ED, Cecil CAM, Walton E, Houtepen LC, O'Connor TG, Danese A, Jaffee SR, Jensen SKG, Pariante C, McArdle W, Gaunt TR, Relton CL, Roberts S.

Dev Psychopathol. 2018 Aug;30(3):1145-1156. doi: 10.1017/S0954579418000330.

PMID:
30068408
14.

Systematic Mendelian randomization framework elucidates hundreds of CpG sites which may mediate the influence of genetic variants on disease.

Richardson TG, Haycock PC, Zheng J, Timpson NJ, Gaunt TR, Davey Smith G, Relton CL, Hemani G.

Hum Mol Genet. 2018 Sep 15;27(18):3293-3304. doi: 10.1093/hmg/ddy210.

15.

Genome-wide survey of parent-of-origin effects on DNA methylation identifies candidate imprinted loci in humans.

Cuellar Partida G, Laurin C, Ring SM, Gaunt TR, McRae AF, Visscher PM, Montgomery GW, Martin NG, Hemani G, Suderman M, Relton CL, Davey Smith G, Evans DM.

Hum Mol Genet. 2018 Aug 15;27(16):2927-2939. doi: 10.1093/hmg/ddy206.

16.

Age-related DNA methylation changes are tissue-specific with ELOVL2 promoter methylation as exception.

Slieker RC, Relton CL, Gaunt TR, Slagboom PE, Heijmans BT.

Epigenetics Chromatin. 2018 May 30;11(1):25. doi: 10.1186/s13072-018-0191-3.

17.

The MR-Base platform supports systematic causal inference across the human phenome.

Hemani G, Zheng J, Elsworth B, Wade KH, Haberland V, Baird D, Laurin C, Burgess S, Bowden J, Langdon R, Tan VY, Yarmolinsky J, Shihab HA, Timpson NJ, Evans DM, Relton C, Martin RM, Davey Smith G, Gaunt TR, Haycock PC.

Elife. 2018 May 30;7. pii: e34408. doi: 10.7554/eLife.34408.

18.

Association of copy number variation across the genome with neuropsychiatric traits in the general population.

Guyatt AL, Stergiakouli E, Martin J, Walters J, O'Donovan M, Owen M, Thapar A, Kirov G, Rodriguez S, Rai D, Zammit S, Gaunt TR.

Am J Med Genet B Neuropsychiatr Genet. 2018 Jul;177(5):489-502. doi: 10.1002/ajmg.b.32637. Epub 2018 Apr 24.

19.

Longitudinal analysis strategies for modelling epigenetic trajectories.

Staley JR, Suderman M, Simpkin AJ, Gaunt TR, Heron J, Relton CL, Tilling K.

Int J Epidemiol. 2018 Apr 1;47(2):516-525. doi: 10.1093/ije/dyy012.

20.

Psychosocial adversity and socioeconomic position during childhood and epigenetic age: analysis of two prospective cohort studies.

Lawn RB, Anderson EL, Suderman M, Simpkin AJ, Gaunt TR, Teschendorff AE, Widschwendter M, Hardy R, Kuh D, Relton CL, Howe LD.

Hum Mol Genet. 2018 Apr 1;27(7):1301-1308. doi: 10.1093/hmg/ddy036.

Supplemental Content

Loading ...
Support Center