Publications
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“Analysis of regulatory T cell subsets in the peripheral blood of immunoglobulin A nephropathy (IgAN) patients”, vol. 14, pp. 14088-14092, 2015.
, “Effects of prolonged anesthesia with dexmedetomidine, fentanyl, or remifentanil on the self-renewal of mouse embryonic stem cells”, vol. 14, pp. 17809-17819, 2015.
, “Association between IRF5 polymorphisms and autoimmune diseases: a meta-analysis”, vol. 13, pp. 4473-4485, 2014.
, , “Loop-tail phenotype in heterozygous mice and neural tube defects in homozygous mice result from a nonsense mutation in the Vangl2 gene”, vol. 12, pp. 3157-3165, 2013.
, “Multiple abnormalities due to a nonsense mutation in the Alx4 gene”, vol. 12, pp. 2771-2778, 2013.
, “SLC30A8 (ZnT8) variations and type 2 diabetes in the Chinese Han population”, vol. 11, pp. 1592-1598, 2012.
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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.
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PMid:18210030
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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