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“Sequence variants in the bovine PRDM16 gene associated with body weight in Chinese cattle breeds”, vol. 11, pp. 746-755, 2012.
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http://dx.doi.org/10.1007/BF02399929
PMid:8748455
Chen DX, Jin QJ, Fang XT, Zhang CL, et al. (2010). Analysis of the polymorphisms in the caprine PRDM16, SHH and SF-1 genes and their association with production traits in goats. Small Ruminant Res. 93: 193-197.
http://dx.doi.org/10.1016/j.smallrumres.2010.04.022
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Farmer SR (2008). Molecular determinants of brown adipocyte formation and function. Genes Dev. 22: 1269-1275.
http://dx.doi.org/10.1101/gad.1681308
Jenuwein T (2001). Re-SET-ting heterochromatin by histone methyltransferases. Trends Cell Biol. 11: 266-273.
http://dx.doi.org/10.1016/S0962-8924(01)02001-3
Kajimura S, Seale P, Tomaru T, Erdjument-Bromage H, et al. (2008). Regulation of the brown and white fat gene programs through a PRDM16/CtBP transcriptional complex. Genes Dev. 22: 1397-1409.
http://dx.doi.org/10.1101/gad.1666108
Kimchi-Sarfaty C, Oh JM, Kim IW, Sauna ZE, et al. (2007). A “silent” polymorphism in the MDR1 gene changes substrate specificity. Science 315: 525-528.
http://dx.doi.org/10.1126/science.1135308
PMid:17185560
Kinameri E, Inoue T, Aruga J, Imayoshi I, et al. (2008). Prdm proto-oncogene transcription factor family expression and interaction with the Notch-Hes pathway in mouse neurogenesis. PLoS One 3: e3859.
http://dx.doi.org/10.1371/journal.pone.0003859
PMid:19050759 PMCid:2585159
Komar AA (2007). Silent SNPs: impact on gene function and phenotype. Pharmacogenomics 8: 1075-1080.
http://dx.doi.org/10.2217/14622416.8.8.1075
PMid:17716239
Lai X, Lan X, Chen H, Wang X, et al. (2009). A novel SNP of the Hesx1 gene in bovine and its associations with average daily gain. Mol. Biol. Rep. 36: 1677-1681.
http://dx.doi.org/10.1007/s11033-008-9368-3
PMid:18853282
Lan XY, Pan CY, Chen H and Zhang CL (2007). An AluI PCR-RFLP detecting a silent allele at the goat POU1F1 locus and its association with production traits. Small Ruminant Res. 73: 8-12.
http://dx.doi.org/10.1016/j.smallrumres.2006.10.009
Nedergaard J, Bengtsson T and Cannon B (2007). Unexpected evidence for active brown adipose tissue in adult humans. Am. J. Physiol. Endocrinol. Metab. 293: E444-E452.
http://dx.doi.org/10.1152/ajpendo.00691.2006
PMid:17473055
Nei M and Roychoudhury AK (1974). Sampling variances of heterozygosity and genetic distance. Genetics 76: 379-390.
PMid:4822472 PMCid:1213072
Oh I, Shimizu H, Satoh T, Okada S, et al. (2006). Identification of nesfatin-1 as a satiety molecule in the hypothalamus. Nature 443: 709-712.
http://dx.doi.org/10.1038/nature05162
PMid:17036007
Ren G, Chen H, Zhang LZ, Lan XY, et al. (2010). A coding SNP of LHX4 gene is associated with body weight and body length in bovine. Mol. Biol. Rep. 37: 417-422.
http://dx.doi.org/10.1007/s11033-009-9486-6
PMid:19283511
Rhee EJ, Oh KW, Lee WY, Kim SY, et al. (2006). Effects of two common polymorphisms of peroxisome proliferator-activated receptor-gamma gene on metabolic syndrome. Arch. Med. Res. 37: 86-94.
http://dx.doi.org/10.1016/j.arcmed.2005.04.008
PMid:16314192
Rosado EL, Bressan J, Martins MF, Cecon PR, et al. (2007). Polymorphism in the PPARgamma2 and beta2-adrenergic genes and diet lipid effects on body composition, energy expenditure and eating behavior of obese women. Appetite 49: 635-643.
http://dx.doi.org/10.1016/j.appet.2007.04.003
PMid:17658197
Sauna ZE, Kimchi-Sarfaty C, Ambudkar SV and Gottesman MM (2007). Silent polymorphisms speak: how they affect pharmacogenomics and the treatment of cancer. Cancer Res. 67: 9609-9612.
http://dx.doi.org/10.1158/0008-5472.CAN-07-2377
PMid:17942888
Seale P, Kajimura S, Yang W, Chin S, et al. (2007). Transcriptional control of brown fat determination by PRDM16. Cell Metab. 6: 38-54.
http://dx.doi.org/10.1016/j.cmet.2007.06.001
PMid:17618855 PMCid:2564846
Seale P, Bjork B, Yang W, Kajimura S, et al. (2008). PRDM16 controls a brown fat/skeletal muscle switch. Nature 454: 961-967.
http://dx.doi.org/10.1038/nature07182
PMid:18719582 PMCid:2583329
Walczak R, Tontonoz P and Edward AD (2003). PPAR[gamma] Signaling in Adipose Tissue Development. In: Handbook of Cell Signaling, Academic Press, Burlington, 39-46.
Wang YH, Bower NI, Reverter A, Tan SH, et al. (2009). Gene expression patterns during intramuscular fat development in cattle. J. Anim. Sci. 87: 119-130.
http://dx.doi.org/10.2527/jas.2008-1082
PMid:18820161
Warner DR, Horn KH, Mudd L, Webb CL, et al. (2007). PRDM16/MEL1: a novel Smad binding protein expressed in murine embryonic orofacial tissue. Biochim. Biophys. Acta 1773: 814-820.
http://dx.doi.org/10.1016/j.bbamcr.2007.03.016
PMid:17467076
Yang LL, Hua Q, Liu RK and Yang Z (2009). Association between two common polymorphisms of PPARgamma gene and metabolic syndrome families in a Chinese population. Arch. Med. Res. 40: 89-96.
http://dx.doi.org/10.1016/j.arcmed.2008.11.005
PMid:19237017
Zhang C, Wang Y, Chen H, Lan X, et al. (2007). Enhance the efficiency of single-strand conformation polymorphism analysis by short polyacrylamide gel and modified silver staining. Anal. Biochem. 365: 286-287.
http://dx.doi.org/10.1016/j.ab.2007.03.023
PMid:17449006
“SLC30A8 (ZnT8) variations and type 2 diabetes in the Chinese Han population”, vol. 11, pp. 1592-1598, 2012.
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Boutayeb A and Boutayeb S (2005). The burden of non communicable diseases in developing countries. Int. J. Equity Health 4: 2.
http://dx.doi.org/10.1186/1475-9276-4-2
PMid:15651987 PMCid:546417
Cauchi S, Proenca C, Choquet H, Gaget S, et al. (2008). Analysis of novel risk loci for type 2 diabetes in a general French population: the D.E.S.I.R. study. J. Mol. Med. 86: 341-348.
http://dx.doi.org/10.1007/s00109-007-0295-x
PMid:18210030
Chausmer AB (1998). Zinc, insulin and diabetes. J. Am. Coll. Nutr. 17: 109-115.
PMid:9550453
Chimienti F, Devergnas S, Favier A and Seve M (2004). Identification and cloning of a beta-cell-specific zinc transporter, ZnT-8, localized into insulin secretory granules. Diabetes 53: 2330-2337.
http://dx.doi.org/10.2337/diabetes.53.9.2330
PMid:15331542
Crawford DC and Nickerson DA (2005). Definition and clinical importance of haplotypes. Annu. Rev. Med. 56: 303-320.
http://dx.doi.org/10.1146/annurev.med.56.082103.104540
PMid:15660514
Das SK and Elbein SC (2006). The genetic basis of type 2 diabetes. Cell Sci. 2: 100-131.
Frayling TM (2007a). Genome-wide association studies provide new insights into type 2 diabetes aetiology. Nat. Rev. Genet. 8: 657-662.
http://dx.doi.org/10.1038/nrg2178
PMid:17703236
Frayling TM (2007b). A new era in finding type 2 diabetes genes - the unusual suspects. Diabet. Med. 24: 696-701.
http://dx.doi.org/10.1111/j.1464-5491.2007.02172.x
PMid:17561964
Horikoshi M, Hara K, Ito C, Shojima N, et al. (2007). Variations in the HHEX gene are associated with increased risk of type 2 diabetes in the Japanese population. Diabetologia 50: 2461-2466.
http://dx.doi.org/10.1007/s00125-007-0827-5
PMid:17928989
Kirchhoff K, Machicao F, Haupt A, Schafer SA, et al. (2008). Polymorphisms in the TCF7L2, CDKAL1 and SLC30A8 genes are associated with impaired proinsulin conversion. Diabetologia 51: 597-601.
http://dx.doi.org/10.1007/s00125-008-0926-y
PMid:18264689
Li Z, Zhang Z, He Z, Tang W, et al. (2009). A partition-ligation-combination-subdivision EM algorithm for haplotype inference with multiallelic markers: update of the SHEsis (http://analysis.bio-x.cn). Cell Res. 19: 519-523.
http://dx.doi.org/10.1038/cr.2009.33
PMid:19290020
Livak KJ, Marmaro J and Todd JA (1995). Towards fully automated genome-wide polymorphism screening. Nat. Genet. 9: 341-342.
http://dx.doi.org/10.1038/ng0495-341
PMid:7795635
MacDonald PE and Rorsman P (2007). The ins and outs of secretion from pancreatic beta-cells: control of single-vesicle exo- and endocytosis. Physiology 22: 113-121.
http://dx.doi.org/10.1152/physiol.00047.2006
PMid:17420302
Morris RW and Kaplan NL (2002). On the advantage of haplotype analysis in the presence of multiple disease susceptibility alleles. Genet. Epidemiol. 23: 221-233.
http://dx.doi.org/10.1002/gepi.10200
PMid:12384975
Omori S, Tanaka Y, Takahashi A, Hirose H, et al. (2008). Association of CDKAL1, IGF2BP2, CDKN2A/B, HHEX, SLC30A8, and KCNJ11 with susceptibility to type 2 diabetes in a Japanese population. Diabetes 57: 791-795.
http://dx.doi.org/10.2337/db07-0979
PMid:18162508
Owen KR and McCarthy MI (2007). Genetics of type 2 diabetes. Curr. Opin. Genet. Dev. 17: 239-244.
http://dx.doi.org/10.1016/j.gde.2007.04.003
PMid:17466512
Palmiter RD and Huang L (2004). Efflux and compartmentalization of zinc by members of the SLC30 family of solute carriers. Pflugers Arch. 447: 744-751.
http://dx.doi.org/10.1007/s00424-003-1070-7
PMid:12748859
Sano M, Kuroi N, Nakayama T, Sato N, et al. (2005). Association study of calcitonin-receptor-like receptor gene in essential hypertension. Am. J. Hypertens. 18: 403-408.
http://dx.doi.org/10.1016/j.amjhyper.2004.10.016
PMid:15797661
Saxena R, Voight BF, Lyssenko V, Burtt NP, et al. (2007). Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels. Science 316: 1331-1336.
http://dx.doi.org/10.1126/science.1142358
PMid:17463246
Scott LJ, Mohlke KL, Bonnycastle LL, Willer CJ, et al. (2007). A genome-wide association study of type 2 diabetes in Finns detects multiple susceptibility variants. Science 316: 1341-1345.
http://dx.doi.org/10.1126/science.1142382
PMid:17463248 PMCid:3214617
Shi YY and He L (2005). SHEsis, a powerful software platform for analyses of linkage disequilibrium, haplotype construction, and genetic association at polymorphism loci. Cell Res. 15: 97-98.
http://dx.doi.org/10.1038/sj.cr.7290272
PMid:15740637
Sladek R, Rocheleau G, Rung J, Dina C, et al. (2007). A genome-wide association study identifies novel risk loci for type 2 diabetes. Nature 445: 881-885.
http://dx.doi.org/10.1038/nature05616
PMid:17293876
Staiger H, Machicao F, Stefan N, Tschritter O, et al. (2007). Polymorphisms within novel risk loci for type 2 diabetes determine beta-cell function. PLoS One 2: e832.
http://dx.doi.org/10.1371/journal.pone.0000832
PMid:17786204 PMCid:1952072
Steinthorsdottir V, Thorleifsson G, Reynisdottir I, Benediktsson R, et al. (2007). A variant in CDKAL1 influences insulin response and risk of type 2 diabetes. Nat. Genet. 39: 770-775.
http://dx.doi.org/10.1038/ng2043
PMid:17460697
Xiang X, Ma YT, Fu ZY, Yang YN, et al. (2009). Haplotype analysis of the CYP8A1 gene associated with myocardial infarction. Clin. Appl. Thromb. Hemost. 15: 574-580.
http://dx.doi.org/10.1177/1076029608329581
PMid:19147528
Zeggini E (2007). A new era for type 2 diabetes genetics. Diabet. Med. 24: 1181-1186.
http://dx.doi.org/10.1111/j.1464-5491.2007.02274.x
PMid:17897328 PMCid:2121132
Zeggini E, Weedon MN, Lindgren CM, Frayling TM, et al. (2007). Replication of genome-wide association signals in UK samples reveals risk loci for type 2 diabetes. Science 316: 1336-1341.
http://dx.doi.org/10.1126/science.1142364
PMid:17463249
“Genetic algorithm-based efficient feature selection for classification of pre-miRNAs”, vol. 10, pp. 588-603, 2011.
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Batuwita R and Palade V (2009). microPred: effective classification of pre-miRNAs for human miRNA gene prediction. Bioinformatics 25: 989-995.
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Berezikov E, Guryev V, van de Belt J, Wienholds E, et al. (2005). Phylogenetic shadowing and computational identification of human microRNA genes. Cell 120: 21-24.
doi:10.1016/j.cell.2004.12.031
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Bushati N and Cohen SM (2007). microRNA functions. Annu. Rev. Cell Dev. Biol. 23: 175-205.
doi:10.1146/annurev.cellbio.23.090506.123406
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Chang DT, Wang CC and Chen JW (2008). Using a kernel density estimation based classifier to predict species-specific microRNA precursors. BMC Bioinformatics 9 (Suppl 12): S2.
doi:10.1186/1471-2105-9-S12-S2
PMid:19091019 PMCid:2638167
Chatterjee S and Grosshans H (2009). Active turnover modulates mature microRNA activity in Caenorhabditis elegans. Nature 461: 546-549.
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Ng KL and Mishra SK (2007). De novo SVM classification of precursor microRNAs from genomic pseudo hairpins using global and intrinsic folding measures. Bioinformatics 23: 1321-1330.
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“Molecular characterization and structure analysis of RPL10/QM-like protein from the red drum Sciaenops ocellatus (Sciaenidae)”, vol. 10, pp. 576-587, 2011.
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