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Items: 1 to 20 of 58

1.

Polygenic risk score: use in migraine research.

Chalmer MA, Esserlind AL, Olesen J, Hansen TF.

J Headache Pain. 2018 Apr 5;19(1):29. doi: 10.1186/s10194-018-0856-0.

2.

A genome-wide association study in the Japanese population identifies the 12q24 locus for habitual coffee consumption: The J-MICC Study.

Nakagawa-Senda H, Hachiya T, Shimizu A, Hosono S, Oze I, Watanabe M, Matsuo K, Ito H, Hara M, Nishida Y, Endoh K, Kuriki K, Katsuura-Kamano S, Arisawa K, Nindita Y, Ibusuki R, Suzuki S, Hosono A, Mikami H, Nakamura Y, Takashima N, Nakamura Y, Kuriyama N, Ozaki E, Furusyo N, Ikezaki H, Nakatochi M, Sasakabe T, Kawai S, Okada R, Hishida A, Naito M, Wakai K, Momozawa Y, Kubo M, Tanaka H.

Sci Rep. 2018 Jan 24;8(1):1493. doi: 10.1038/s41598-018-19914-w.

3.

Systematic target function annotation of human transcription factors.

Li YF, Altman RB.

BMC Biol. 2018 Jan 10;16(1):4. doi: 10.1186/s12915-017-0469-0.

4.

Improving adherence to healthy dietary patterns, genetic risk, and long term weight gain: gene-diet interaction analysis in two prospective cohort studies.

Wang T, Heianza Y, Sun D, Huang T, Ma W, Rimm EB, Manson JE, Hu FB, Willett WC, Qi L.

BMJ. 2018 Jan 10;360:j5644. doi: 10.1136/bmj.j5644. Erratum in: BMJ. 2018 Feb 12;360:k693.

5.

Heavier smoking increases coffee consumption: findings from a Mendelian randomization analysis.

Bjørngaard JH, Nordestgaard AT, Taylor AE, Treur JL, Gabrielsen ME, Munafò MR, Nordestgaard BG, Åsvold BO, Romundstad P, Davey Smith G.

Int J Epidemiol. 2017 Dec 1;46(6):1958-1967. doi: 10.1093/ije/dyx147.

6.

Genetic variation of habitual coffee consumption and glycemic changes in response to weight-loss diet intervention: the Preventing Overweight Using Novel Dietary Strategies (POUNDS LOST) trial.

Han L, Ma W, Sun D, Heianza Y, Wang T, Zheng Y, Huang T, Duan D, Bray JGA, Champagne CM, Sacks FM, Qi L.

Am J Clin Nutr. 2017 Nov;106(5):1321-1326. doi: 10.3945/ajcn.117.156232. Epub 2017 Sep 20.

PMID:
28931532
8.

Associations of coffee genetic risk scores with consumption of coffee, tea and other beverages in the UK Biobank.

Taylor AE, Davey Smith G, Munafò MR.

Addiction. 2018 Jan;113(1):148-157. doi: 10.1111/add.13975. Epub 2017 Sep 29.

9.

Genetic Susceptibility, Change in Physical Activity, and Long-term Weight Gain.

Wang T, Huang T, Heianza Y, Sun D, Zheng Y, Ma W, Jensen MK, Kang JH, Wiggs JL, Pasquale LR, Rimm EB, Manson JE, Hu FB, Willett WC, Qi L.

Diabetes. 2017 Oct;66(10):2704-2712. doi: 10.2337/db17-0071. Epub 2017 Jul 12.

10.

The Taste of Caffeine.

Poole RL, Tordoff MG.

J Caffeine Res. 2017 Jun 1;7(2):39-52. doi: 10.1089/jcr.2016.0030. Review.

PMID:
28660093
11.

Does coffee consumption impact on heaviness of smoking?

Ware JJ, Tanner JA, Taylor AE, Bin Z, Haycock P, Bowden J, Rogers PJ, Davey Smith G, Tyndale RF, Munafò MR.

Addiction. 2017 Oct;112(10):1842-1853. doi: 10.1111/add.13888. Epub 2017 Jul 12.

12.

Habitual coffee consumption and genetic predisposition to obesity: gene-diet interaction analyses in three US prospective studies.

Wang T, Huang T, Kang JH, Zheng Y, Jensen MK, Wiggs JL, Pasquale LR, Fuchs CS, Campos H, Rimm EB, Willett WC, Hu FB, Qi L.

BMC Med. 2017 May 9;15(1):97. doi: 10.1186/s12916-017-0862-0.

13.

Coffee consumption is associated with DNA methylation levels of human blood.

Chuang YH, Quach A, Absher D, Assimes T, Horvath S, Ritz B.

Eur J Hum Genet. 2017 May;25(5):608-616. doi: 10.1038/ejhg.2016.175. Epub 2017 Feb 15.

PMID:
28198392
14.

Informing Prevention and Intervention Policy Using Genetic Studies of Resistance.

Maher BS, Latendresse S, Vanyukov MM.

Prev Sci. 2018 Jan;19(1):49-57. doi: 10.1007/s11121-016-0730-8.

PMID:
27943075
15.

SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function.

Li M, Li Y, Weeks O, Mijatovic V, Teumer A, Huffman JE, Tromp G, Fuchsberger C, Gorski M, Lyytikäinen LP, Nutile T, Sedaghat S, Sorice R, Tin A, Yang Q, Ahluwalia TS, Arking DE, Bihlmeyer NA, Böger CA, Carroll RJ, Chasman DI, Cornelis MC, Dehghan A, Faul JD, Feitosa MF, Gambaro G, Gasparini P, Giulianini F, Heid I, Huang J, Imboden M, Jackson AU, Jeff J, Jhun MA, Katz R, Kifley A, Kilpeläinen TO, Kumar A, Laakso M, Li-Gao R, Lohman K, Lu Y, Mägi R, Malerba G, Mihailov E, Mohlke KL, Mook-Kanamori DO, Robino A, Ruderfer D, Salvi E, Schick UM, Schulz CA, Smith AV, Smith JA, Traglia M, Yerges-Armstrong LM, Zhao W, Goodarzi MO, Kraja AT, Liu C, Wessel J; CHARGE Glycemic-T2D Working Group,; CHARGE Blood Pressure Working Group,, Boerwinkle E, Borecki IB, Bork-Jensen J, Bottinger EP, Braga D, Brandslund I, Brody JA, Campbell A, Carey DJ, Christensen C, Coresh J, Crook E, Curhan GC, Cusi D, de Boer IH, de Vries AP, Denny JC, Devuyst O, Dreisbach AW, Endlich K, Esko T, Franco OH, Fulop T, Gerhard GS, Glümer C, Gottesman O, Grarup N, Gudnason V, Hansen T, Harris TB, Hayward C, Hocking L, Hofman A, Hu FB, Husemoen LL, Jackson RD, Jørgensen T, Jørgensen ME, Kähönen M, Kardia SL, König W, Kooperberg C, Kriebel J, Launer LJ, Lauritzen T, Lehtimäki T, Levy D, Linksted P, Linneberg A, Liu Y, Loos RJ, Lupo A, Meisinger C, Melander O, Metspalu A, Mitchell P, Nauck M, Nürnberg P, Orho-Melander M, Parsa A, Pedersen O, Peters A, Peters U, Polasek O, Porteous D, Probst-Hensch NM, Psaty BM, Qi L, Raitakari OT, Reiner AP, Rettig R, Ridker PM, Rivadeneira F, Rossouw JE, Schmidt F, Siscovick D, Soranzo N, Strauch K, Toniolo D, Turner ST, Uitterlinden AG, Ulivi S, Velayutham D, Völker U, Völzke H, Waldenberger M, Wang JJ, Weir DR, Witte D, Kuivaniemi H, Fox CS, Franceschini N, Goessling W, Köttgen A, Chu AY.

J Am Soc Nephrol. 2017 Mar;28(3):981-994. doi: 10.1681/ASN.2016020131. Epub 2016 Dec 5.

16.
17.

Population Structure of UK Biobank and Ancient Eurasians Reveals Adaptation at Genes Influencing Blood Pressure.

Galinsky KJ, Loh PR, Mallick S, Patterson NJ, Price AL.

Am J Hum Genet. 2016 Nov 3;99(5):1130-1139. doi: 10.1016/j.ajhg.2016.09.014. Epub 2016 Oct 20.

18.

Investigating the possible causal role of coffee consumption with prostate cancer risk and progression using Mendelian randomization analysis.

Taylor AE, Martin RM, Geybels MS, Stanford JL, Shui I, Eeles R, Easton D, Kote-Jarai Z, Amin Al Olama A, Benlloch S, Muir K, Giles GG, Wiklund F, Gronberg H, Haiman CA, Schleutker J, Nordestgaard BG, Travis RC, Neal D, Pashayan N, Khaw KT, Blot W, Thibodeau S, Maier C, Kibel AS, Cybulski C, Cannon-Albright L, Brenner H, Park J, Kaneva R, Batra J, Teixeira MR, Pandha H; PRACTICAL Consortium, Donovan J, Munafò MR.

Int J Cancer. 2017 Jan 15;140(2):322-328. doi: 10.1002/ijc.30462. Epub 2016 Oct 26.

19.

Non-additive genome-wide association scan reveals a new gene associated with habitual coffee consumption.

Pirastu N, Kooyman M, Robino A, van der Spek A, Navarini L, Amin N, Karssen LC, Van Duijn CM, Gasparini P.

Sci Rep. 2016 Aug 25;6:31590. doi: 10.1038/srep31590.

20.

Selecting instruments for Mendelian randomization in the wake of genome-wide association studies.

Swerdlow DI, Kuchenbaecker KB, Shah S, Sofat R, Holmes MV, White J, Mindell JS, Kivimaki M, Brunner EJ, Whittaker JC, Casas JP, Hingorani AD.

Int J Epidemiol. 2016 Oct;45(5):1600-1616. Epub 2016 Jun 24. Review.

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