Genomics & Informatics

Korea Genome Organization (한국유전체학회)
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Joint Identification of Multiple Genetic Variants of Obesity in a Korean Genome-wide Association Study

  • Oh, So-Hee (Department of Statistics, Seoul National University) ;
  • Cho, Seo-Ae (Department of Statistics, University of California) ;
  • Park, Tae-Sung (Department of Statistics, Seoul National University)
  • Accepted : 2010.09.02
  • Published : 2010.09.30
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Abstract

In recent years, genome-wide association (GWA) studies have successfully led to many discoveries of genetic variants affecting common complex traits, including height, blood pressure, and diabetes. Although GWA studies have made much progress in finding single nucleotide polymorphisms (SNPs) associated with many complex traits, such SNPs have been shown to explain only a very small proportion of the underlying genetic variance of complex traits. This is partly due to that fact that most current GWA studies have relied on single-marker approaches that identify single genetic factors individually and have limitations in considering the joint effects of multiple genetic factors on complex traits. Joint identification of multiple genetic factors would be more powerful and provide a better prediction of complex traits, since it utilizes combined information across variants. Recently, a new statistical method for joint identification of genetic variants for common complex traits via the elastic-net regularization method was proposed. In this study, we applied this joint identification approach to a large-scale GWA dataset (i.e., 8842 samples and 327,872 SNPs) in order to identify genetic variants of obesity for the Korean population. In addition, in order to test for the biological significance of the jointly identified SNPs, gene ontology and pathway enrichment analyses were further conducted.

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References

  1. Abdi, H. (2007). The Bonferroni and Sidak corrections for multiple comparisons. In Encyclopedia of measurement and statistics . Salkind N, ed. Thousand Oaks, CA: Sage. pp. 1-9.
  2. Bell, C.G., Walley, A.J., and Froguel, P. (2005). The Genetics of Human Obesity. Nat. Rev. Genet. 6, 221-234.
  3. Benjamini, Y. and Hochberg, Y. (1995). Controlling the false discovery rate: a practical and powerful approach to multiple testing. J.R. Statist. Soc. B. 57, 289-300.
  4. Cho, S., Kim, K., Kim, Y.J., Lee, J.K., Cho, Y.S., Lee, J.Y., Han, B.G., Kim, H., Ott, J., and Park, T. (2010). Joint identification of multiple genetic variants via EN variable selection in a genome-wide association analysis. Ann. Hum. Genet. 74, 416-428. https://doi.org/10.1111/j.1469-1809.2010.00597.x
  5. Cho, Y.S., Go, M.J., Kim, Y.J., Heo, J.Y., Oh, J.H., Ban, H.J., Yoon, D., Lee, M.H., Kim, D.J., Park, M., Cha, S.H., Kim, J.W., Han, B.K., Min, H., Ahn, Y., Park, M.S., Han, H.R., Jang, H.Y., Cho, E.Y., Lee, J.E., Cho, N.H., Shin, C., Park, T., Park, J.W., Lee, J.K., Cardon, L., Clarke, G., McCarthy, M.I., Lee, J.Y., Lee., J.W., Oh, B., and Kim, H.R. (2009). A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits. Nat. Genet. 41, 527-534. https://doi.org/10.1038/ng.357
  6. Cotsapas, C., Speliotes, E.K., Hatoum, I.J., Greenawalt, D.M., Dobrin, R., Lum, P.Y., Suver, C., Chudin, E., Kemp, D., Reitman, M., Voight, B.F., Neale, B.M., Schadt, E.E., Hirschhorn, J.N., Kaplan, L.M., Daly, M.J., and the GIANT consortium. (2009). Common body mass index-associated variants confer risk of extreme obesity. Hum. Mol. Genet. 18, 3502-3507. https://doi.org/10.1093/hmg/ddp292
  7. Das, U.N., and Rao, A.A. (2007). Gene expression profile in obesity and type 2 diabetes mellitus. Lipids in Health and Disease 6, 35. https://doi.org/10.1186/1476-511X-6-35
  8. Farooqi, I.S. and O'Rahilly, S. (2007). Genetic factors in human obesity. Obesity Rev. 8 (Suppl. 1) 37-40.
  9. Feitosa, M.F., Borecki, I.B., Rich, S.S., Arnett, D.K., Sholinsky, P., Myers, R.H., Leppert, M., and Province, M.A. (2002). Quantitative-trait loci influencing body-mass index reside on chromosome 7 and 13: The National Heart, Lung, and Blood Institute Family Heart Study. Am. J. Hum. Genet. 70, 72-82. https://doi.org/10.1086/338144
  10. Heard-Costa, N.L., Zillikens, M.C., Monda, K.L., Johansson, A., Harris, T.B., Fu, M., Haritunians, T., Feitosa, M., Aspelund, T., Eiriksdottir, G., Garcia, M., Launer, L.J., Smith, A.V., Mitchell, B.D., McArdle, P.F., Shuldiner, A.R., Bielinski, S.J., Boerwinkle, E., Brancati, F., Demerath, E.W., Pankow, J.S., Arnold, A.M., Chen, Y.D.I., Glazer, N.L., McKnight, B., Psaty, B.M., Rotter, J.I., Amin, N., Campbell, H., Gyllensten, U., Pattaro, C., Pramstaller, P.P., Rudan, I., Struchalin, M., Vitart, V., Gao, X., Kraja, A., Province, M.A., Zhang, Q., Atwood, L.D., Dupuis, J., Hirschhorn, J.N., Jaquish, C.E., O'Donnell, C.J., Vasan, R.S., White, C.C., Aulchenko, Y.S., Estrada, K., Hofman, A., Rivadeneira, F., Uitterlinden, A.G., Witteman, J.C.M., Oostra, B.A., Kaplan, R.C., Gudnason, V., O'Connell, J.R., Borecki, I.B., van Dujin, C.M., Cupples, L.A., Fox, C.S., and North, K.E. (2009). NRXN3 is novel locus for waist circumference: a genome-wide association study from the CHARGE Consortium. PLoS One 5, e1000539.
  11. Hfker, M. and Wijmenga, C. (2009). A supersized list of obesity genes. Nat. Genet. 41, 139-140. https://doi.org/10.1038/ng0209-139
  12. Hill, J.O. and Peters, J.C. (1998). Environmental contributions to the obesity epidemic. Science 280, 1371-1374. https://doi.org/10.1126/science.280.5368.1371
  13. Hinney, A., Nguyen, T.T., Scherag, A., Friedel, S., Bronner, G., Muller, T.D., Grallert, H., Illig, T., Wichmann, H.E., Rief, W., Schafer, G., Gebebrand, J. (2007). Genome wide association (GWA) study for early onset extreme obesity supports the role of fat mass and obesity associated gene (FTO) variants. PLoS One 2, e1361. https://doi.org/10.1371/journal.pone.0001361
  14. Hirschhorn, J.N. and Daly, M.J. (2005). Genome-wide association studies for common diseases and complex traits. Nat. Rev. Genet. 6, 95-108.
  15. Hosack, M., Dennis, G., Sherman, B.T., Lane, H.C., and Lempicki, R.A. (20003). Identifying biological themes within lists of genes with EASE. Genome Biol. 4, R70. https://doi.org/10.1186/gb-2003-4-10-r70
  16. Ichihara, S. and Yamada, Y. (2008). Genetic factors for human obesity. Cell. Mol. Life. Sci. 65, 1086-1098. https://doi.org/10.1007/s00018-007-7453-8
  17. Klein, R.J., Zeiss, C., Chew, E.Y., Tsai, J.Y., Sackler, R.S., Haynes, C., Henning, A.K., SanGiovanni, J.P., Mane, S.M., Mayne, M.B., Ferris, F.L., Ott, J., Barnstable, C., and Hoh, J. (2005). Complement factor H polymorphism in age-related macular degeneration. Science 308, 335-389. https://doi.org/10.1126/science.308.5720.335
  18. Kosiol, C., Vinar, T., da Fonseca, R.R., Hubisz, M.J., Bustamante, C.D., Nielsen, R., Siepel, A. (2008). Patterns of positive selection in six mammalian genomes. PLoS Genet 4, e1000144. https://doi.org/10.1371/journal.pgen.1000144
  19. Le Cessie, S. and Van Houwelingen, J. (1992). Ridge estimators in logistic regression. App. Statist. 41, 191-201. https://doi.org/10.2307/2347628
  20. Li, H., Wetten, S., Li, L., St Jean, P.L., Upmanyu, R., Surh, L., Hosford, D., Barnes, M.R., Briley, J.D., Borrie, M., Coletta, N., Delisle, R., Dhalla, D., Ehm, M.G., Feldman, H.H., Fornazzari, L., Gauthier, S., Goodgame, N., Guzman, D., Hammond, S., Hollingworth, P., Hsiung, G.Y., Johnson, J., Kelly, D.D., Keren, R., Kertesz, A., King, K.S., Lovestone, S., Loy-English, I., Matthews, P.M., Owen, M.J., Plumpton, M., Pryse-Phillips, W., Prinjha, R.K., Richardson, J.C., Saunders, A., Slater, A.J., St George-Hyslop, P.H., Stinnett, S.W., Swartz, J.E., Taylor, R.L., Wherrett, J., Williams, J., Yarnall, D.P., Gibson, R.A., Irizarry, M.C., Middleton, L.T., and Roses, A.D. (2008). Candidate single-nucleotide polymorphisms from a genomewide association study of Alzheimer disease. Arch. Neurol. 65, 45 https://doi.org/10.1001/archneurol.2007.3
  21. Liu, Y.J., Liu, X.G., Wang, L., Dina, C., Yan, H., Liu, J.F., Levy, S., Papasian, C.J., Drees, B.M., Hamilton, J.J., Meyre, D., Delplanque, J., Pei, Y.F., Zhang, L., Recker, R.R., Froguel, P., and Deng, H.W. (2008). Genome-wide association scans identified CTNNBL1 as a novel gene for obesity. Hum. Mol. Genet. 17, 1803-1813. https://doi.org/10.1093/hmg/ddn072
  22. Loos, R.J.F., Lindgren, C.M., Li, S., Wheeler, E., Zhao, J.H., Prokopenko, I., Inouye, M., Freathy, R.M., Attwood, A.P., Beckmann, J.S., Berndt, S.I., Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening Trial, Jacobs, K.B., Chanock, S.J., Hayes, R.B., Bergmann, S., Bennett, A.J., Bingham, S.A., Bochud, M., Brown, M., Cauchi, S., Connell, J.M., Cooper, C., Smith, G.D., Day, I., Dina, C., De, S., Dermitzakis, E.T., Doney, A.S., Elliott, K.S., Elliott, P., Evans, D.M., Sadaf Farooqi, I., Froguel, P., Ghori, J., Groves, C.J., Gwilliam, R., Hadley, D., Hall, A.S., Hattersley, A.T., Hebebrand, J., Heid, I.M., KORA, Lamina, C., Gieger, C., Illig, T., Meitinger, T., Wichmann, H.E., Herrera, B., Hinney, A., Hunt, S.E., Jarvelin, M.R., Johnson, T., Jolley, J.D., Karpe, F., Keniry, A., Khaw, K.T., Luben, R.N., Mangino, M., Marchini, J., McArdle, W.L., McGinnis, R., Meyre, D., Munroe, P.B., Morris, A.D., Ness, A.R., Neville, M.J., Nica, A.C., Ong, K.K., O'Rahilly, S., Owen, K.R., Palmer, C.N., Papadakis, K., Potter, S., Pouta, A., Qi, L., Nurses' Health Study, Randall, J.C., Rayner, N.W., Ring, S.M., Sandhu, M.S., Scherag, A., Sims, M.A., Song, K., Soranzo, N., Speliotes, E.K., Diabetes Genetics Initiative, Syddall, H.E., Teichmann, S.A., Timpson, N.J., Tobias, J.H., Uda, M., SardiNIA Study, Vogel, C.I., Wallace, C., Waterworth, D.M., Weedon, M.N., Wellcome Trust Case Control Consortium, Willer, C.J., FUSION, Wraight, Yuan, X., Zeggini, E., Hirschhorn, J.N., Strachan, D.P., Ouwehand, W.H., Caulfield, M.J., Samani, N.J., Frayling, T.M., Vollenweider, P., Waeber, G., Mooser, V., Deloukas, P., McCarthy, M.I., Wareham, N.J., Barroso, I., Jacobs, K.B., Chanock, S.J., Hayes, R.B., Lamina, C., Gieger, C., Illig, T., Meitinger, T., Wichmann, H.E., Kraft, P., Hankinson, S.E., Hunter, D.J., Hu, F.B., Lyon, H.N., Voight, B.F., Ridderstrale, M., Groop, L., Scheet, P., Sanna, S., Abecasis, G.R., Albai, G., Nagaraja, R., Schlessinger, D., Jackson, A.U., Tuomilehto, J., Collins, F.S., Boehnke, M., and Mohlke, K.L. (2008). Common variants near MC4R are associated with fat mass, weight and risk of obesity. Nat. Genet. 40, 768-775. https://doi.org/10.1038/ng.140
  23. Lowe, J.K., Maller, J.B., Pe'er, I., Neale, B.M., Salit, J., Kenny, E.E., Shea, J.L., Burkhardt, R., Smith, J.G., Ji, W., Noel, M., Foo, J.N., Blundell, M.L., Skilling, V., Garcia, L., Sullivan, M.L., Lee, H.E., Labek, A., Ferdowsian, H., Auerbach, S.B., Lifton, R.P., Newton-Cheh, C., Breslow, J.L., Stoffel, M., Daly, M.J., Altshuler, D.M., and Friedman, J.M. (2009). Genome-wide association studies in an isolated founder population from the Pacific Island of Kosrae. PLoS Genet. 5, e1000365. https://doi.org/10.1371/journal.pgen.1000365
  24. Marsh, M. (2001). Endocytosis. Oxford university press. P.vii.
  25. Meyre, D., Delplanque, J., Chevre, J.C., Lecoeur, C., Lobbens, S., Gallina, S., Durand, E., Vatin, V., Degraeve, F., Proenca, C., Gaget, S., Korner, A., Kovacs, P., Kiess, W., Tichet, J., Marre, M., Hartikainen, A.L., Horber, F., Potoczna, N., Hercberg, S., Levy-Marchal, C., Pattou, F., Heude, B., Tauber, M., McCarthy, M.I., Blakemore, A.I., Montpetit, A., Polychronakos, C., Weill, J., Coin, L.J., Asher, J., Elliott, P., Järvelin, M.R., Visvikis-Siest, S., Balkau, B., Sladek, R., Balding, D., Walley, A., Dina, C., and Froguel, P. (2009). Genome-wide association study for early-onset and morbid adult obesity identifies three new risk loci in European populations. Nat. Genet. 41, 157-159. https://doi.org/10.1038/ng.301
  26. Miaczynska, M. and Stenmark, H. (2008). Mechanisms and functions of endocytosis. J. Cell Biol. 180, 7-11. https://doi.org/10.1083/jcb.200711073
  27. Must, A., Spadano, J., Coakley, E.H., Field, A.E., Coldotz, G., and Dietz, W.H. (1999). The disease burden associated with overweight and obesity. JAMA 282, 1523-1029. https://doi.org/10.1001/jama.282.16.1523
  28. Rabbee, N. and Speed, T.A. (2006). A genotype calling algorithm for affymetrix SNP arrays. Bioinformatics 22, 7-12. https://doi.org/10.1093/bioinformatics/bti741
  29. Sabatti, C., Service, S.K., Hartikainen, A.L., Pouta, A., Ripatti, S., Brodsky, J., Jones, C.G., Zaitlen, N.A., Varilo, T., Kaakinen, M., Sovio, U., Ruokonen, A., Laitinen, J., Jakkula, E., Coin, L., Hoggart, C., Collins, A., Turunen, H., Gabriel, S., Elliot, P., McCarthy, M.I., Daly, M.J., Järvelin, M.R., Freimer, N.B., and Peltonen, L. (2009). Genome-wide association analysis of metabolic traits in a birth cohort from a founder population. Nat. Genet. 41, 35-46. https://doi.org/10.1038/ng.271
  30. Saxena, R., Voight, B.F., Lyssenko, V., Burtt, N.P., de Bakker, P.I., Chen, H., Roix, J.J., Kathiresan, S., Hirschhorn, J.N., Daly, M.J., Hughes, T.E., Groop, L., Altshuler, D., Almgren, P., Florez, J.C., Meyer, J., Ardlie, K., Bengtsson Bostrom, K., Isomaa, B., Lettre, G., Lindblad, U., Lyon, H.N., Melander, O., Newton-Cheh, C., Nilsson, P., Orho-Melander, M., Råstam, L., Speliotes, E.K., Taskinen, M.R., Tuomi, T., Guiducci, C., Berglund, A., Carlson, J., Gianniny, L., Hackett, R., Hall, L., Holmkvist, J., Laurila, E., Sjogren, M., Sterner, M., Surti, A., Svensson, M., Svensson, M., Tewhey, R., Blumenstiel, B., Parkin, M., Defelice, M., Barry, R., Brodeur, W., Camarata, J., Chia, N., Fava, M., Gibbons, J., Handsaker, B., Healy, C., Nguyen, K., Gates, C., Sougnez, C., Gage, D., Nizzari, M., Gabriel, S.B., Chirn, G.W., Ma, Q., Parikh, H., Richardson, D., Ricke, D., and Purcell, S. (2007). Genome-wide association analysis identifies loci for type 2 diabetes and triglyceride levels. Science 316, 1331-1336. https://doi.org/10.1126/science.1142358
  31. Scherag, A., Dina, C., Hinney, A., Vatin, V., Scherag, S., Vogel, C.I., Muller, T.D., Grallert, H., Wichmann, H.E., Balkau, B., Heude, B., Jarvelin, M.R., Hartikainen, A.L., Levy-Marchal, C., Weill, J., Delplanque, J., Korner, A., Kiess, W., Kovacs, P., Rayner, N.W., Prokopenko, I., McCarthy, M.I., Schafer, H., Jarick, I., Boeing, H., Fisher, E., Reinehr, T., Heinrich, J., Rzehak, P., Berdel, D., Borte, M., Biebermann, H., Krude, H., Rosskopf, D., Rimmbach, C., Rief, W., Fromme, T., Klingenspor, M., Schurmann, A., Schulz, N., Nothen, M.M., Muhleisen, T.W., Erbel, R., Jockel, K.H., Moebus, S., Boes, T., Illig, T., Froguel, P., Hebebrand, J., and Meyre, D. (2010). Two new loci for body-weight regulation identified in a joint analysis of genome-wide association studies for early- onset extreme obesity in French and German study groups. PLoS One 6, e1000916.
  32. Scuteri, A., Sanna, S., Chen, W.M., Uda, M., Albai, G., Strait, J., Najjar, S., Nagaraja, R., Orrú, M., Usala, G., Dei, M., Lai, S., Maschio, A., Busonero, F., Mulas, A., Ehret, G.B., Fink, A.A., Weder, A.B., Cooper, R.S., Galan, P., Chakravarti, A., Schlessinger, D., Cao, A., Lakatta, E., and Abecasis, G.R. (2007). Genome-wide association scan shows genetic variants in the FTO Gene are associated with obesity-related traits. PLoS Genet. 3, 1200-1210.
  33. Shi, W., Wahba, G., Wright, S., Lee, K., Klein, R., and Klein, B. (2007). Lasso-patternsearch algorithm with application ophthalmology and genomic data. Stat. and its interface 1, 137.
  34. Sladek, R., Rocheleau, G., Rung, J., Dina, C., Shen, L., Serre, D., Boutin, P., Vincent, D., Belisle, A., Hadjadj, S., Balkau, B., Heude, B., Charpentier, G., Hudson, T.J., Montpetit, A., Pshezhetsky, A.V., Prentki, M., Posner, B.I., Balding, D.J., Meyre, D., Polychronakos, C., and Froguel, P. (2007). A genome-wide association study identifies novel risk loci for type 2 diabetes. Nature 445, 881-885. https://doi.org/10.1038/nature05616
  35. Thorleifsson, G., Walters, G.B., Gudbjartsson, D.F., Steinthorsdottir, V., Sulem, P., Helgadottir, A., Styrkarsdottir, U., Gretarsdottir, S., Thorlacius, S., Jonsdottir, I., Jonsdottir, T., Olafsdottir, E.J., Olafsdottir, G.H., Jonsson, T., Jonsson, F., Borch-Johnsen, K., Hansen, T., Andersen, G., Jorgensen, T., Lauritzen, T., Aben, K.K., Verbeek, A.L., Roeleveld, N., Kampman, E., Yanek, L.R., Becker, L.C., Tryggvadottir, L., Rafnar, T., Becker, D.M., Gulcher, J., Kiemeney, L.A., Pedersen, O., Kong, A., Thorsteinsdottir, U., and Stefansson, K. (2009) .Genome-wide association yields new sequence variants at seven loci that associate with measures of obesity. Nat. Genet. 41, 18-24. https://doi.org/10.1038/ng.274
  36. Tibshirani, R. (1996). Regression shrinkage and selection via the lasso. J. R. Statist. Soc. B. 58, 267-288.
  37. Wallace, C., Newhouse, S.J., Braund, P., Zhang, F., Tobin, M., Falchi, M., Ahmadi, K., Dobson, R.J., Marçano, A.C., Hajat, C., Burton, P., Deloukas, P., Brown, M., Connell, J.M., Dominiczak, A., Lathrop, G.M., Webster, J., Farrall, M., Spector, T., Samani, N.J., Caulfield, M.J., and Munroe, P.B. (2008). Genome-wide association analysis study identifies genes for biomarkers of cardiovascular disease: serum urate and dyslipidemia. Am. J. Hum. Genet. 82,139-149. https://doi.org/10.1016/j.ajhg.2007.11.001
  38. Wang, W.Y., Barratt, B.J., Clayton, D.G., and Todd, J.A. (2005). Genome-wide association studies: Theoretical and practical concerns. Nat. Rev. Genet. 6, 109-118. https://doi.org/10.1038/nrg1522
  39. Weedon, M. N., Lango, H., Lindgren, C.M., Wallace, C., Evans, D.M., Mangino, M., Freathy, R.M., Perry, J.R., Stevens, S., Hall, A.S., Samani, N.J., Shields, B., Prokopenko, I., Farrall, M., Dominiczak, A., Diabetes Genetics Initiative, Wellcome Trust Case Control Consortium, Johnson, T., Bergmann, S., Beckmann, J.S., Vollenweider, P., Waterworth, D.M., Mooser, V., Palmer, C.N., Morris, A.D., Ouwehand, W.H., Cambridge GEM Consortium, Zhao, J.H., Li, S., Loos, R.J., Barroso, I., Deloukas, P., Sandhu, M.S., Wheeler, E., Soranzo, N., Inouye, M., Wareham, N.J., Caulfield, M., Munroe, P.B., Hattersley, A.T., McCarthy, M.I., and Frayling, T.M. (2008). Genome-wide association analysis identifies 20 loci that influence adult height. Nat. Genet. 40, 575-583. https://doi.org/10.1038/ng.121
  40. Wellcome Trust Case Control Consortium (2007). Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature 447, 661-678. https://doi.org/10.1038/nature05911
  41. Willer, C.J., Speliotes, E.K., Loos, R.J., Li, S., Lindgren, C.M., Heid, I.M., Berndt, S.I., Elliott, A.L., Jackson, A.U., Lamina, C., Lettre, G., Lim, N., Lyon, H.N., McCarroll, S.A., Papadakis, K., Qi, L., Randall, J.C., Roccasecca, R.M., Sanna, S., Scheet, P., Weedon, M.N., Wheeler, E., Zhao, J.H., Jacobs, L.C., Prokopenko, I., Soranzo, N., Tanaka, T., Timpson, N.J., Almgren, P., Bennett, A., Bergman, R.N., Bingham, S.A., Bonnycastle, L.L., Brown, M., Burtt, N.P., Chines, P., Coin, L., Collins, F.S., Connell, J.M., Cooper, C., Smith, G.D., Dennison, E.M., Deodhar, P., Elliott, P., Erdos, M.R., Estrada, K., Evans, D.M., Gianniny, L., Gieger, C., Gillson, C.J., Guiducci, C., Hackett, R., Hadley, D., Hall, A.S., Havulinna, A.S., Hebebrand, J., Hofman, A., Isomaa, B., Jacobs, K.B., Johnson, T., Jousilahti, P., Jovanovic, Z., Khaw, K.T., Kraft, P., Kuokkanen, M., Kuusisto, J., Laitinen, J., Lakatta, E.G., Luan, J., Luben, R.N., Mangino, M., McArdle, W.L., Meitinger, T., Mulas, A., Munroe, P.B., Narisu, N., Ness, A.R., Northstone, K., O'Rahilly, S., Purmann, C., Rees, M.G., Ridderstrale, M., Ring, S.M., Rivadeneira, F., Ruokonen, A., Sandhu, M.S., Saramies, J., Scott, L.J., Scuteri, A., Silander, K., Sims, M.A., Song, K., Stephens, J., Stevens, S., Stringham, H.M., Tung, Y.C., Valle, T.T., van Duijn, C.M., Vimaleswaran, K.S., Vollenweider, P., Waeber, G., Wallace, C., Watanabe, R.M., Waterworth, D.M., Watkins, N., Wellcome Trust Case Control Consortium, Witteman, J.C., Zeggini, E., Zhai, G., Zillikens, M.C., Altshuler, D., Caulfield, M.J., Chanock, S.J., Farooqi, I.S., Ferrucci, L., Guralnik, J.M., Hattersley, A.T., Hu, F.B., Jarvelin, M.R., Laakso, M., Mooser, V., Ong, K.K., Ouwehand, W.H., Salomaa, V., Samani, N.J., Spector, T.D., Tuomi, T., Tuomilehto, J., Uda, M., Uitterlinden, A.G., Wareham, N.J., Deloukas, P., Frayling, T.M., Groop, L.C., Hayes, R.B., Hunter, D.J., Mohlke, K.L., Peltonen, L., Schlessinger, D., Strachan, D.P., Wichmann, H.E., McCarthy, M.I., Boehnke, M., Barroso, I., Abecasis, G.R., Hirschhorn, J.N., and Genetic Investigation of ANthropometric Traits Consortium. (2008). Six new loci associated with body mass index highlight a neuronal influence on body weight regulation. Nat. Genet. 41, 25-34.
  42. Wu, T., Chen, Y., Hastie, T., Sobel, E., and Lange, K. (2009). Genome-wide association analysis by lasso penalized logistic regression. Bioinformatics 25, 714. https://doi.org/10.1093/bioinformatics/btp041
  43. Zou, H. and Hastie, T. (2005). Regularization and variable selection via the elastic net. J.R. Statist. Soc. B. 67, 301-320. https://doi.org/10.1111/j.1467-9868.2005.00503.x

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  1. Genome-Wide Association Studies of the Korea Association REsource (KARE) Consortium vol.8, pp.3, 2010, https://doi.org/10.5808/GI.2010.8.3.101