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Items: 16

1.

Bigmelon: tools for analysing large DNA methylation datasets.

Gorrie-Stone TJ, Smart MC, Saffari A, Malki K, Hannon E, Burrage J, Mill J, Kumari M, Schalkwyk LC.

Bioinformatics. 2019 Mar 15;35(6):981-986. doi: 10.1093/bioinformatics/bty713.

2.

Genome-wide association analyses of risk tolerance and risky behaviors in over 1 million individuals identify hundreds of loci and shared genetic influences.

Karlsson Linnér R, Biroli P, Kong E, Meddens SFW, Wedow R, Fontana MA, Lebreton M, Tino SP, Abdellaoui A, Hammerschlag AR, Nivard MG, Okbay A, Rietveld CA, Timshel PN, Trzaskowski M, Vlaming R, Zünd CL, Bao Y, Buzdugan L, Caplin AH, Chen CY, Eibich P, Fontanillas P, Gonzalez JR, Joshi PK, Karhunen V, Kleinman A, Levin RZ, Lill CM, Meddens GA, Muntané G, Sanchez-Roige S, Rooij FJV, Taskesen E, Wu Y, Zhang F; 23and Me Research Team; eQTLgen Consortium; International Cannabis Consortium; Social Science Genetic Association Consortium, Auton A, Boardman JD, Clark DW, Conlin A, Dolan CC, Fischbacher U, Groenen PJF, Harris KM, Hasler G, Hofman A, Ikram MA, Jain S, Karlsson R, Kessler RC, Kooyman M, MacKillop J, Männikkö M, Morcillo-Suarez C, McQueen MB, Schmidt KM, Smart MC, Sutter M, Thurik AR, Uitterlinden AG, White J, Wit H, Yang J, Bertram L, Boomsma DI, Esko T, Fehr E, Hinds DA, Johannesson M, Kumari M, Laibson D, Magnusson PKE, Meyer MN, Navarro A, Palmer AA, Pers TH, Posthuma D, Schunk D, Stein MB, Svento R, Tiemeier H, Timmers PRHJ, Turley P, Ursano RJ, Wagner GG, Wilson JF, Gratten J, Lee JJ, Cesarini D, Benjamin DJ, Koellinger PD, Beauchamp JP.

Nat Genet. 2019 Feb;51(2):245-257. doi: 10.1038/s41588-018-0309-3. Epub 2019 Jan 14.

PMID:
30643258
3.

Leveraging DNA-Methylation Quantitative-Trait Loci to Characterize the Relationship between Methylomic Variation, Gene Expression, and Complex Traits.

Hannon E, Gorrie-Stone TJ, Smart MC, Burrage J, Hughes A, Bao Y, Kumari M, Schalkwyk LC, Mill J.

Am J Hum Genet. 2018 Nov 1;103(5):654-665. doi: 10.1016/j.ajhg.2018.09.007. Epub 2018 Oct 25.

4.

Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals.

Lee JJ, Wedow R, Okbay A, Kong E, Maghzian O, Zacher M, Nguyen-Viet TA, Bowers P, Sidorenko J, Karlsson Linnér R, Fontana MA, Kundu T, Lee C, Li H, Li R, Royer R, Timshel PN, Walters RK, Willoughby EA, Yengo L; 23andMe Research Team; COGENT (Cognitive Genomics Consortium); Social Science Genetic Association Consortium, Alver M, Bao Y, Clark DW, Day FR, Furlotte NA, Joshi PK, Kemper KE, Kleinman A, Langenberg C, Mägi R, Trampush JW, Verma SS, Wu Y, Lam M, Zhao JH, Zheng Z, Boardman JD, Campbell H, Freese J, Harris KM, Hayward C, Herd P, Kumari M, Lencz T, Luan J, Malhotra AK, Metspalu A, Milani L, Ong KK, Perry JRB, Porteous DJ, Ritchie MD, Smart MC, Smith BH, Tung JY, Wareham NJ, Wilson JF, Beauchamp JP, Conley DC, Esko T, Lehrer SF, Magnusson PKE, Oskarsson S, Pers TH, Robinson MR, Thom K, Watson C, Chabris CF, Meyer MN, Laibson DI, Yang J, Johannesson M, Koellinger PD, Turley P, Visscher PM, Benjamin DJ, Cesarini D.

Nat Genet. 2018 Jul 23;50(8):1112-1121. doi: 10.1038/s41588-018-0147-3.

5.

The effect of age and gender on the genetic regulation of serum 25-hydroxyvitamin D - the FIN-D2D population-based study.

Miettinen ME, Smart MC, Kinnunen L, Keinänen-Kiukaanniemi S, Moilanen L, Puolijoki H, Saltevo J, Oksa H, Hitman GA, Tuomilehto J, Peltonen M.

J Steroid Biochem Mol Biol. 2018 Apr;178:229-233. doi: 10.1016/j.jsbmb.2017.12.018. Epub 2017 Dec 26.

PMID:
29287921
6.

Gene-environment interactions between education and body mass: Evidence from the UK and Finland.

Amin V, Böckerman P, Viinikainen J, Smart MC, Bao Y, Kumari M, Pitkänen N, Lehtimäki T, Raitakari O, Pehkonen J.

Soc Sci Med. 2017 Dec;195:12-16. doi: 10.1016/j.socscimed.2017.10.027. Epub 2017 Nov 3.

PMID:
29102742
7.

Vitamin D and cognitive function: A Mendelian randomisation study.

Maddock J, Zhou A, Cavadino A, Kuźma E, Bao Y, Smart MC, Saum KU, Schöttker B, Engmann J, Kjærgaard M, Karhunen V, Zhan Y, Lehtimäki T, Rovio SP, Byberg L, Lahti J, Marques-Vidal P, Sen A, Perna L, Schirmer H, Singh-Manoux A, Auvinen J, Hutri-Kähönen N, Kähönen M, Kilander L, Räikkönen K, Melhus H, Ingelsson E, Guessous I, Petrovic KE, Schmidt H, Schmidt R, Vollenweider P, Lind L, Eriksson JG, Michaëlsson K, Raitakari OT, Hägg S, Pedersen NL, Herzig KH, Järvelin MR, Veijola J, Kivimaki M, Jorde R, Brenner H, Kumari M, Power C, Llewellyn DJ, Hyppönen E.

Sci Rep. 2017 Oct 16;7(1):13230. doi: 10.1038/s41598-017-13189-3.

8.

Genetic determinants of serum 25-hydroxyvitamin D concentration during pregnancy and type 1 diabetes in the child.

Miettinen ME, Smart MC, Kinnunen L, Harjutsalo V, Reinert-Hartwall L, Ylivinkka I, Surcel HM, Lamberg-Allardt C, Hitman GA, Tuomilehto J.

PLoS One. 2017 Oct 4;12(10):e0184942. doi: 10.1371/journal.pone.0184942. eCollection 2017.

9.

Maternal VDR variants rather than 25-hydroxyvitamin D concentration during early pregnancy are associated with type 1 diabetes in the offspring.

Miettinen ME, Smart MC, Kinnunen L, Mathews C, Harjutsalo V, Surcel HM, Lamberg-Allardt C, Tuomilehto J, Hitman GA.

Diabetologia. 2015 Oct;58(10):2278-83. doi: 10.1007/s00125-015-3675-8. Epub 2015 Jun 26.

PMID:
26109216
10.

Novel DNA methylation profiles associated with key gene regulation and transcription pathways in blood and placenta of growth-restricted neonates.

Hillman SL, Finer S, Smart MC, Mathews C, Lowe R, Rakyan VK, Hitman GA, Williams DJ.

Epigenetics. 2015;10(1):50-61. doi: 10.4161/15592294.2014.989741. Epub 2015 Jan 23.

11.

Solid State Multinuclear Magnetic Resonance Investigation of Electrolyte Decomposition Products on Lithium Ion Electrodes.

DeSilva JHSR, Udinwe V, Sideris PJ, Smart MC, Krause FC, Hwang C, Smith KA, Greenbaum SG.

ECS Trans. 2012;41(41):207-214. doi: 10.1149/1.4717978.

12.

Genetic variation within IL18 is associated with insulin levels, insulin resistance and postprandial measures.

Smart MC, Dedoussis G, Yiannakouris N, Grisoni ML, Dror GK, Yannakoulia M, Papoutsakis C, Louizou E, Mantzoros CS, Melistas L, Kontogianni MD, Cooper JA, Humphries SE, Talmud PJ; EARSII Consortium.

Nutr Metab Cardiovasc Dis. 2011 Jul;21(7):476-84. doi: 10.1016/j.numecd.2009.12.004. Epub 2010 Mar 12.

13.

ADIPOQ gene polymorphism rs1501299 interacts with fibre intake to affect adiponectin concentration in children: the GENe-Diet Attica Investigation on childhood obesity.

Ntalla I, Dedoussis G, Yannakoulia M, Smart MC, Louizou E, Sakka SD, Papoutsakis C, Talmud PJ.

Eur J Nutr. 2009 Dec;48(8):493-7. doi: 10.1007/s00394-009-0034-x. Epub 2009 Jun 19.

PMID:
19543786
14.

APOE, CETP and LPL genes show strong association with lipid levels in Greek children.

Smart MC, Dedoussis G, Louizou E, Yannakoulia M, Drenos F, Papoutsakis C, Maniatis N, Humphries SE, Talmud PJ.

Nutr Metab Cardiovasc Dis. 2010 Jan;20(1):26-33. doi: 10.1016/j.numecd.2009.02.005. Epub 2009 Apr 28.

15.

Urinary incontinence: The management of incontinence in Sweden.

Smart MC.

Nurs Times. 1982 Jan 27-Feb 2;78(4):171-2. No abstract available.

PMID:
6460987
16.

The use of thio-tepa (triethylene thiophosphoramide) in melanotic sarcoma.

SMART MC.

Can Med Assoc J. 1957 Aug 15;77(4):342-3. No abstract available.

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