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Items: 1 to 20 of 126

1.

What will diabetes genomes tell us?

Mohlke KL, Scott LJ.

Curr Diab Rep. 2012 Dec;12(6):643-50. doi: 10.1007/s11892-012-0321-4. Review.

2.

Imputation-based assessment of next generation rare exome variant arrays.

Martin AR, Tse G, Bustamante CD, Kenny EE.

Pac Symp Biocomput. 2014:241-52.

3.

1000 Genomes-based imputation identifies novel and refined associations for the Wellcome Trust Case Control Consortium phase 1 Data.

Huang J, Ellinghaus D, Franke A, Howie B, Li Y.

Eur J Hum Genet. 2012 Jul;20(7):801-5. doi: 10.1038/ejhg.2012.3. Epub 2012 Feb 1.

4.

Genome-wide searching of rare genetic variants in WTCCC data.

Feng T, Zhu X.

Hum Genet. 2010 Sep;128(3):269-80. doi: 10.1007/s00439-010-0849-9. Epub 2010 Jun 13.

5.

Imputation of coding variants in African Americans: better performance using data from the exome sequencing project.

Duan Q, Liu EY, Auer PL, Zhang G, Lange EM, Jun G, Bizon C, Jiao S, Buyske S, Franceschini N, Carlson CS, Hsu L, Reiner AP, Peters U, Haessler J, Curtis K, Wassel CL, Robinson JG, Martin LW, Haiman CA, Le Marchand L, Matise TC, Hindorff LA, Crawford DC, Assimes TL, Kang HM, Heiss G, Jackson RD, Kooperberg C, Wilson JG, Abecasis GR, North KE, Nickerson DA, Lange LA, Li Y.

Bioinformatics. 2013 Nov 1;29(21):2744-9. doi: 10.1093/bioinformatics/btt477. Epub 2013 Aug 16.

6.

Rare-variant genome-wide association studies: a new frontier in genetic analysis of complex traits.

Wagner MJ.

Pharmacogenomics. 2013 Mar;14(4):413-24. doi: 10.2217/pgs.13.36. Review.

PMID:
23438888
7.

Sequencing and analysis of a South Asian-Indian personal genome.

Gupta R, Ratan A, Rajesh C, Chen R, Kim HL, Burhans R, Miller W, Santhosh S, Davuluri RV, Butte AJ, Schuster SC, Seshagiri S, Thomas G.

BMC Genomics. 2012 Aug 31;13:440. doi: 10.1186/1471-2164-13-440.

8.

Exome sequencing and genetic testing for MODY.

Johansson S, Irgens H, Chudasama KK, Molnes J, Aerts J, Roque FS, Jonassen I, Levy S, Lima K, Knappskog PM, Bell GI, Molven A, NjĂžlstad PR.

PLoS One. 2012;7(5):e38050. doi: 10.1371/journal.pone.0038050. Epub 2012 May 25.

9.

Needles in stacks of needles: finding disease-causal variants in a wealth of genomic data.

Cooper GM, Shendure J.

Nat Rev Genet. 2011 Aug 18;12(9):628-40. doi: 10.1038/nrg3046. Review.

PMID:
21850043
10.

Functional evaluation of genetic variation in complex human traits.

Peters DT, Musunuru K.

Hum Mol Genet. 2012 Oct 15;21(R1):R18-23. Epub 2012 Aug 29. Review.

11.

Analysis of 32 common susceptibility genetic variants and their combined effect in predicting risk of Type 2 diabetes and related traits in Indians.

Janipalli CS, Kumar MV, Vinay DG, Sandeep MN, Bhaskar S, Kulkarni SR, Aruna M, Joglekar CV, Priyadharshini S, Maheshwari N, Yajnik CS, Chandak GR.

Diabet Med. 2012 Jan;29(1):121-7. doi: 10.1111/j.1464-5491.2011.03438.x.

PMID:
21913964
12.

Challenges in medical applications of whole exome/genome sequencing discoveries.

Marian AJ.

Trends Cardiovasc Med. 2012 Nov;22(8):219-23. doi: 10.1016/j.tcm.2012.08.001. Epub 2012 Aug 24. Review.

13.

Type 2 diabetes-associated genetic variants discovered in the recent genome-wide association studies are related to gestational diabetes mellitus in the Korean population.

Cho YM, Kim TH, Lim S, Choi SH, Shin HD, Lee HK, Park KS, Jang HC.

Diabetologia. 2009 Feb;52(2):253-61. doi: 10.1007/s00125-008-1196-4. Epub 2008 Nov 11.

PMID:
19002430
14.

Confirmation of multiple risk Loci and genetic impacts by a genome-wide association study of type 2 diabetes in the Japanese population.

Takeuchi F, Serizawa M, Yamamoto K, Fujisawa T, Nakashima E, Ohnaka K, Ikegami H, Sugiyama T, Katsuya T, Miyagishi M, Nakashima N, Nawata H, Nakamura J, Kono S, Takayanagi R, Kato N.

Diabetes. 2009 Jul;58(7):1690-9. doi: 10.2337/db08-1494. Epub 2009 Apr 28.

15.

The next generation of complex lung genetic studies.

Yang IV, Schwartz DA.

Am J Respir Crit Care Med. 2012 Dec 1;186(11):1087-94. doi: 10.1164/rccm.201207-1178PP. Epub 2012 Aug 30. Review.

16.

Replication of 13 genome-wide association (GWA)-validated risk variants for type 2 diabetes in Pakistani populations.

Rees SD, Hydrie MZ, Shera AS, Kumar S, O'Hare JP, Barnett AH, Basit A, Kelly MA.

Diabetologia. 2011 Jun;54(6):1368-74. doi: 10.1007/s00125-011-2063-2. Epub 2011 Feb 25.

PMID:
21350842
17.

Interrogating type 2 diabetes genome-wide association data using a biological pathway-based approach.

Perry JR, McCarthy MI, Hattersley AT, Zeggini E; Wellcome Trust Case Control Consortium, Weedon MN, Frayling TM.

Diabetes. 2009 Jun;58(6):1463-7. doi: 10.2337/db08-1378. Epub 2009 Feb 27.

18.

Comparing strategies to fine-map the association of common SNPs at chromosome 9p21 with type 2 diabetes and myocardial infarction.

Shea J, Agarwala V, Philippakis AA, Maguire J, Banks E, Depristo M, Thomson B, Guiducci C, Onofrio RC, Kathiresan S, Gabriel S, Burtt NP, Daly MJ, Groop L, Altshuler D; Myocardial Infarction Genetics Consortium.

Nat Genet. 2011 Jul 24;43(8):801-5. doi: 10.1038/ng.871.

19.

Follow-up analysis of genome-wide association data identifies novel loci for type 1 diabetes.

Grant SF, Qu HQ, Bradfield JP, Marchand L, Kim CE, Glessner JT, Grabs R, Taback SP, Frackelton EC, Eckert AW, Annaiah K, Lawson ML, Otieno FG, Santa E, Shaner JL, Smith RM, Skraban R, Imielinski M, Chiavacci RM, Grundmeier RW, Stanley CA, Kirsch SE, Waggott D, Paterson AD, Monos DS; DCCT/EDIC Research Group, Polychronakos C, Hakonarson H.

Diabetes. 2009 Jan;58(1):290-5. doi: 10.2337/db08-1022. Epub 2008 Oct 7.

20.

Genome-wide association study identifies three novel loci for type 2 diabetes.

Hara K, Fujita H, Johnson TA, Yamauchi T, Yasuda K, Horikoshi M, Peng C, Hu C, Ma RC, Imamura M, Iwata M, Tsunoda T, Morizono T, Shojima N, So WY, Leung TF, Kwan P, Zhang R, Wang J, Yu W, Maegawa H, Hirose H; DIAGRAM consortium, Kaku K, Ito C, Watada H, Tanaka Y, Tobe K, Kashiwagi A, Kawamori R, Jia W, Chan JC, Teo YY, Shyong TE, Kamatani N, Kubo M, Maeda S, Kadowaki T.

Hum Mol Genet. 2014 Jan 1;23(1):239-46. doi: 10.1093/hmg/ddt399. Epub 2013 Aug 14.

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