The International IBD Genetics Consortium; Université de Liège - ULiège > Dpt. de gestion vétérinaire des Ressources Animales (DRA) > Génomique animale
M.D. Mailman, M. Feolo, Y. Jin, M. Kimura, K. Tryka, R. Bagoutdinov, L. Hao, A. Kiang, J. Paschall, L. Phan, and et al. The NCBI dbGaP database of genotypes and phenotypes Nat. Genet. 39 2007 1181 1186
A. Koike, N. Nishida, I. Inoue, S. Tsuji, and K. Tokunaga Genome-wide association database developed in the Japanese Integrated Database Project J. Hum. Genet. 54 2009 543 546
R.S. Spielman, R.E. McGinnis, and W.J. Ewens Transmission test for linkage disequilibrium: the insulin gene region and insulin-dependent diabetes mellitus (IDDM) Am. J. Hum. Genet. 52 1993 506 516
C. Lange, and N.M. Laird Power calculations for a general class of family-based association tests: dichotomous traits Am. J. Hum. Genet. 71 2002 575 584
S.-A. Bacanu, B. Devlin, and K. Roeder The power of genomic control Am. J. Hum. Genet. 66 2000 1933 1944
N. Risch Implications of multilocus inheritance for gene-disease association studies Theor. Popul. Biol. 60 2001 215 220
M.A. Ferreira, P. Sham, M.J. Daly, and S. Purcell Ascertainment through family history of disease often decreases the power of family-based association studies Behav. Genet. 37 2007 631 636
L. Klei, S.J. Sanders, M.T. Murtha, V. Hus, J.K. Lowe, A.J. Willsey, D. Moreno-De-Luca, T.W. Yu, E. Fombonne, D. Geschwind, and et al. Common genetic variants, acting additively, are a major source of risk for autism Mol. Autism 3 2012 9
T. Gaugler, L. Klei, S.J. Sanders, C.A. Bodea, A.P. Goldberg, A.B. Lee, M. Mahajan, D. Manaa, Y. Pawitan, J. Reichert, and et al. Most genetic risk for autism resides with common variation Nat. Genet. 46 2014 881 885
A.B. Lee, D. Luca, and K. Roeder A spectral graph approach to discovering genetic ancestry Ann. Appl. Stat. 4 2010 179 202
A.L. Price, N.J. Patterson, R.M. Plenge, M.E. Weinblatt, N.A. Shadick, and D. Reich Principal components analysis corrects for stratification in genome-wide association studies Nat. Genet. 38 2006 904 909
N. Patterson, A.L. Price, and D. Reich Population structure and eigenanalysis PLoS Genet. 2 2006 e190
Klei, L., Kent, B.P., Melhem, N., Devlin, B., and Roeder, K. (2011). Gemtools: a fast and efficient approach to estimating genetic ancestry. arXiv:1104.1162. http://arxiv.org/abs/0901.0633v2.
A.B. Lee, D. Luca, L. Klei, B. Devlin, and K. Roeder Discovering genetic ancestry using spectral graph theory Genet. Epidemiol. 34 2010 51 59
M.R. Nelson, K. Bryc, K.S. King, A. Indap, A.R. Boyko, J. Novembre, L.P. Briley, Y. Maruyama, D.M. Waterworth, G. Waeber, and et al. The Population Reference Sample, POPRES: a resource for population, disease, and pharmacological genetics research Am. J. Hum. Genet. 83 2008 347 358
J. Novembre, T. Johnson, K. Bryc, Z. Kutalik, A.R. Boyko, A. Auton, A. Indap, K.S. King, S. Bergmann, M.R. Nelson, and et al. Genes mirror geography within Europe Nature 456 2008 98 101
W.-Y. Yang, J. Novembre, E. Eskin, and E. Halperin A model-based approach for analysis of spatial structure in genetic data Nat. Genet. 44 2012 725 731
M.P. Epstein, A.S. Allen, and G.A. Satten A simple and improved correction for population stratification in case-control studies Am. J. Hum. Genet. 80 2007 921 930
B.E. Engelhardt, and M. Stephens Analysis of population structure: a unifying framework and novel methods based on sparse factor analysis PLoS Genet. 6 2010 e1001117
C. Wang, X. Zhan, L. Liang, G.R. Abecasis, and X. Lin Improved ancestry estimation for both genotyping and sequencing data using projection procrustes analysis and genotype imputation Am. J. Hum. Genet. 96 2015 926 937
A. Crossett, B.P. Kent, L. Klei, S. Ringquist, M. Trucco, K. Roeder, and B. Devlin Using ancestry matching to combine family-based and unrelated samples for genome-wide association studies Stat. Med. 29 2010 2932 2945
Y. Bengio, O. Delalleau, N. Le Roux, J.-F. Paiement, P. Vincent, and M. Ouimet Learning eigenfunctions links spectral embedding and kernel PCA Neural Comput. 16 2004 2197 2219
Williams, C., and Seeger, M. (2001). Using the nyström method to speed up kernel machines. In Proceedings of the 14th Annual Conference on Neural Information Processing Systems number EPFL-CONF-161322. pp. 682-688.
S. Kumar, M. Mohri, and A. Talwalkar Sampling methods for the nyström method J. Mach. Learn. Res. 13 2012 981 1006
J.Z. Li, D.M. Absher, H. Tang, A.M. Southwick, A.M. Casto, S. Ramachandran, H.M. Cann, G.S. Barsh, M. Feldman, L.L. Cavalli-Sforza, and R.M. Myers Worldwide human relationships inferred from genome-wide patterns of variation Science 319 2008 1100 1104
P.J. Diggle, J. Tawn, and R. Moyeed Model-based geostatistics J. R. Stat. Soc. Ser. C Appl. Stat. 47 1998 299 350
S.C. Heath, I.G. Gut, P. Brennan, J.D. McKay, V. Bencko, E. Fabianova, L. Foretova, M. Georges, V. Janout, M. Kabesch, and et al. Investigation of the fine structure of European populations with applications to disease association studies Eur. J. Hum. Genet. 16 2008 1413 1429
L. Jostins, S. Ripke, R.K. Weersma, R.H. Duerr, D.P. McGovern, K.Y. Hui, J.C. Lee, L.P. Schumm, Y. Sharma, C.A. Anderson, et al. International IBD Genetics Consortium (IIBDGC) Host-microbe interactions have shaped the genetic architecture of inflammatory bowel disease Nature 491 2012 119 124
B. Devlin, and K. Roeder Genomic control for association studies Biometrics 55 1999 997 1004
M.L. Freedman, D. Reich, K.L. Penney, G.J. McDonald, A.A. Mignault, N. Patterson, S.B. Gabriel, E.J. Topol, J.W. Smoller, C.N. Pato, and et al. Assessing the impact of population stratification on genetic association studies Nat. Genet. 36 2004 388 393
J. Yang, M.N. Weedon, S. Purcell, G. Lettre, K. Estrada, C.J. Willer, A.V. Smith, E. Ingelsson, J.R. O'Connell, M. Mangino, et al. GIANT Consortium Genomic inflation factors under polygenic inheritance Eur. J. Hum. Genet. 19 2011 807 812
D. Lee, T.B. Bigdeli, B.P. Riley, A.H. Fanous, and S.-A. Bacanu DIST: direct imputation of summary statistics for unmeasured SNPs Bioinformatics 29 2013 2925 2927
E.S. Lander, and N.J. Schork Genetic dissection of complex traits Science 265 1994 2037 2048
L.R. Cardon, and L.J. Palmer Population stratification and spurious allelic association Lancet 361 2003 598 604
D. Luca, S. Ringquist, L. Klei, A.B. Lee, C. Gieger, H.E. Wichmann, S. Schreiber, M. Krawczak, Y. Lu, A. Styche, and et al. On the use of general control samples for genome-wide association studies: genetic matching highlights causal variants Am. J. Hum. Genet. 82 2008 453 463
M. Pirinen, P. Donnelly, and C.C.A. Spencer Including known covariates can reduce power to detect genetic effects in case-control studies Nat. Genet. 44 2012 848 851
H. Aschard, B.J. Vilhjálmsson, A.D. Joshi, A.L. Price, and P. Kraft Adjusting for heritable covariates can bias effect estimates in genome-wide association studies Am. J. Hum. Genet. 96 2015 329 339
S.A. Tishkoff, F.A. Reed, F.R. Friedlaender, C. Ehret, A. Ranciaro, A. Froment, J.B. Hirbo, A.A. Awomoyi, J.-M. Bodo, O. Doumbo, and et al. The genetic structure and history of Africans and African Americans Science 324 2009 1035 1044
J. Kaye, P. Boddington, J. de Vries, N. Hawkins, and K. Melham Ethical implications of the use of whole genome methods in medical research Eur. J. Hum. Genet. 18 2010 398 403
N. Homer, S. Szelinger, M. Redman, D. Duggan, W. Tembe, J. Muehling, J.V. Pearson, D.A. Stephan, S.F. Nelson, and D.W. Craig Resolving individuals contributing trace amounts of DNA to highly complex mixtures using high-density SNP genotyping microarrays PLoS Genet. 4 2008 e1000167
K.B. Jacobs, M. Yeager, S. Wacholder, D. Craig, P. Kraft, D.J. Hunter, J. Paschal, T.A. Manolio, M. Tucker, R.N. Hoover, and et al. A new statistic and its power to infer membership in a genome-wide association study using genotype frequencies Nat. Genet. 41 2009 1253 1257
H.K. Im, E.R. Gamazon, D.L. Nicolae, and N.J. Cox On sharing quantitative trait GWAS results in an era of multiple-omics data and the limits of genomic privacy Am. J. Hum. Genet. 90 2012 591 598
Lek, M., Karczewski, K., Minikel, E., Samocha, K., Banks, E., Fennell, T., O'Donnell-Luria, A., Ware, J., Hill, A., Cummings, B., et al. (2015). Analysis of protein-coding genetic variation in 60,706 humans. bioRxiv 10.1101/030338.
