Refining the impact of TCF7L2 gene variants on type 2 diabetes and adaptive evolution

[1]  Anubhuti,et al.  Role of neuropeptides in appetite regulation and obesity – A review , 2006, Neuropeptides.

[2]  Steven Wiltshire,et al.  Association Analysis of 6,736 U.K. Subjects Provides Replication and Confirms TCF7L2 as a Type 2 Diabetes Susceptibility Gene With a Substantial Effect on Individual Risk , 2006, Diabetes.

[3]  David M Nathan,et al.  TCF7L2 polymorphisms and progression to diabetes in the Diabetes Prevention Program. , 2006, The New England journal of medicine.

[4]  A. Gylfason,et al.  A common variant associated with prostate cancer in European and African populations , 2006, Nature Genetics.

[5]  Molly Przeworski,et al.  How reliable are empirical genomic scans for selective sweeps? , 2006, Genome research.

[6]  J. Pritchard,et al.  A Map of Recent Positive Selection in the Human Genome , 2006, PLoS biology.

[7]  H. Stefánsson,et al.  Variant of transcription factor 7-like 2 (TCF7L2) gene confers risk of type 2 diabetes , 2006, Nature Genetics.

[8]  S. Gabriel,et al.  Calibrating a coalescent simulation of human genome sequence variation. , 2005, Genome research.

[9]  S. Wagenpfeil,et al.  Differential association of basal and postprandial plasma ghrelin with leptin, insulin, and type 2 diabetes. , 2005, Diabetes.

[10]  Nicholas J. Wareham,et al.  Genetic Factors in Type 2 Diabetes: The End of the Beginning? , 2005, Science.

[11]  M. Olivier A haplotype map of the human genome. , 2003, Nature.

[12]  M. Olivier A haplotype map of the human genome , 2003, Nature.

[13]  T. Hansen,et al.  Studies of the association of the GNB3 825C>T polymorphism with components of the metabolic syndrome in white Danes , 2005, Diabetologia.

[14]  C. Rotimi,et al.  Genetic structure in four West African population groups , 2005, BMC Genetics.

[15]  Laurent Excoffier,et al.  SIMCOAL 2.0: a program to simulate genomic diversity over large recombining regions in a subdivided population with a complex history , 2004, Bioinform..

[16]  Mark Gurney,et al.  The gene encoding phosphodiesterase 4D confers risk of ischemic stroke , 2003, Nature Genetics.

[17]  Thomas Gudermann,et al.  Melanocortin-4 receptor gene: case-control study and transmission disequilibrium test confirm that functionally relevant mutations are compatible with a major gene effect for extreme obesity. , 2003, The Journal of clinical endocrinology and metabolism.

[18]  Pardis C Sabeti,et al.  Detecting recent positive selection in the human genome from haplotype structure , 2002, Nature.

[19]  D. Gudbjartsson,et al.  A high-resolution recombination map of the human genome , 2002, Nature Genetics.

[20]  L. S. Jónsdóttir,et al.  Do Lipids, Blood Pressure, Diabetes, and Smoking Confer Equal Risk of Myocardial Infarction in Women as in Men? the Reykjavik Study , 2002 .

[21]  P. Fearnhead,et al.  A coalescent-based method for detecting and estimating recombination from gene sequences. , 2002, Genetics.

[22]  V. Gudnason,et al.  Do lipids, blood pressure, diabetes, and smoking confer equal risk of myocardial infarction in women as in men? The Reykjavik Study. , 2001, Journal of cardiovascular risk.

[23]  M. Slatkin,et al.  The use of intraallelic variability for testing neutrality and estimating population growth rate. , 2001, Genetics.

[24]  C. Rotimi,et al.  In search of susceptibility genes for type 2 diabetes in West Africa: the design and results of the first phase of the AADM study. , 2001, Annals of epidemiology.

[25]  H. Bandelt,et al.  Median-joining networks for inferring intraspecific phylogenies. , 1999, Molecular biology and evolution.

[26]  M. Beaumont,et al.  Evaluating loci for use in the genetic analysis of population structure , 1996, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[27]  D. F. Roberts,et al.  The History and Geography of Human Genes , 1996 .

[28]  L. Excoffier,et al.  Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data. , 1992, Genetics.

[29]  E. Cerasi,et al.  DIABETES MELLITUS , 1924, Nihon rinsho. Japanese journal of clinical medicine.

[30]  C. Falk,et al.  Haplotype relative risks: an easy reliable way to construct a proper control sample for risk calculations , 1987, Annals of human genetics.

[31]  Robert C. Wolpert,et al.  A Review of the , 1985 .

[32]  C. Henderson,et al.  Role of WHO. , 1982, Experientia. Supplementum.

[33]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[34]  J. Neel Diabetes mellitus: a "thrifty" genotype rendered detrimental by "progress"? , 1962, American journal of human genetics.

[35]  W. Haenszel,et al.  Statistical aspects of the analysis of data from retrospective studies of disease. , 1959, Journal of the National Cancer Institute.