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BioMed Research International
Volume 2015, Article ID 671349, 9 pages
http://dx.doi.org/10.1155/2015/671349
Research Article

On the Estimation of Heritability with Family-Based and Population-Based Samples

1The Center for Genome Science, Korea National Institute of Health, KCDC, Osong 361-951, Republic of Korea
2Department of Applied Statistics, Chung-Ang University, Seoul 156-756, Republic of Korea
3Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151-742, Republic of Korea
4Chunlab Inc., Seoul National University, Seoul 151-742, Republic of Korea
5Department of Epidemiology, Seoul National University, Seoul 151-742, Republic of Korea
6Department of Preventive Medicine, Ajou University School of Medicine, Suwon 443-380, Republic of Korea
7Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44106-7281, USA
8Department of Epidemiology and Biostatistics, School of Public Health & Institute of Health and Environment, Seoul National University, Seoul 151-742, Republic of Korea

Received 22 November 2014; Revised 16 April 2015; Accepted 21 April 2015

Academic Editor: Kristel van Steen

Copyright © 2015 Youngdoe Kim et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. O. Zuk, E. Hechter, S. R. Sunyaev, and E. S. Lander, “The mystery of missing heritability: genetic interactions create phantom heritability,” Proceedings of the National Academy of Sciences of the United States of America, vol. 109, no. 4, pp. 1193–1198, 2012. View at Publisher · View at Google Scholar · View at Scopus
  2. L. Almasy and J. Blangero, “Multipoint quantitative-trait linkage analysis in general pedigrees,” The American Journal of Human Genetics, vol. 62, no. 5, pp. 1198–1211, 1998. View at Publisher · View at Google Scholar · View at Scopus
  3. D. S. Falconer, Introduction to Quantitative Genetics, Ronald Press, New York, NY, USA, 1960.
  4. R. A. Fisher, “The correlation between relatives on the supposition of mendelian inheritance,” Transactions of the Royal Society of Edinburgh, vol. 52, pp. 399–433, 1918. View at Google Scholar
  5. P. M. Visscher, W. G. Hill, and N. R. Wray, “Heritability in the genomics era—concepts and misconceptions,” Nature Reviews Genetics, vol. 9, no. 4, pp. 255–266, 2008. View at Publisher · View at Google Scholar · View at Scopus
  6. J. Yang, B. Benyamin, B. P. McEvoy et al., “Common SNPs explain a large proportion of the heritability for human height,” Nature Genetics, vol. 42, no. 7, pp. 565–569, 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. J. Yang, T. A. Manolio, L. R. Pasquale et al., “Genome partitioning of genetic variation for complex traits using common SNPs,” Nature Genetics, vol. 43, no. 6, pp. 519–525, 2011. View at Publisher · View at Google Scholar · View at Scopus
  8. J. Yang, S. H. Lee, M. E. Goddard, and P. M. Visscher, “GCTA: a tool for genome-wide complex trait analysis,” American Journal of Human Genetics, vol. 88, no. 1, pp. 76–82, 2011. View at Publisher · View at Google Scholar · View at Scopus
  9. J. Sung, S.-I. Cho, K. Lee et al., “Healthy twin: a twin-family study of Korea—protocols and current status,” Twin Research and Human Genetics, vol. 9, no. 6, pp. 844–848, 2006. View at Publisher · View at Google Scholar · View at Scopus
  10. Y. S. Cho, M. J. Go, Y. J. Kim et al., “A large-scale genome-wide association study of Asian populations uncovers genetic factors influencing eight quantitative traits,” Nature Genetics, vol. 41, no. 5, pp. 527–534, 2009. View at Publisher · View at Google Scholar · View at Scopus
  11. L. Peltonen and V. A. McKusick, “Genomics and medicine: dissecting human disease in the postgenomic era,” Science, vol. 291, no. 5507, pp. 1224–1229, 2001. View at Publisher · View at Google Scholar · View at Scopus
  12. R. C. Elston and C. Gray-McGuire, “A review of the ‘Statistical Analysis for Genetic Epidemiology’ (S.A.G.E.) software package,” Human genomics, vol. 1, no. 6, pp. 456–459, 2004. View at Publisher · View at Google Scholar · View at Scopus
  13. 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,” Nature Genetics, vol. 38, no. 8, pp. 904–909, 2006. View at Publisher · View at Google Scholar · View at Scopus
  14. R. C. Elston, V. T. George, and F. Severtson, “The Elston-Stewart algorithm for continuous genotypes and environmental factors,” Human Heredity, vol. 42, no. 1, pp. 16–27, 1992. View at Publisher · View at Google Scholar · View at Scopus
  15. M. Neijts, J. van Dongen, C. Kluft, D. I. Boomsma, G. Willemsen, and E. J. de Geus, “Genetic architecture of the pro-inflammatory state in an extended twin-family design,” Twin Research and Human Genetics, vol. 16, no. 5, pp. 931–940, 2013. View at Publisher · View at Google Scholar
  16. G. Pilia, W.-M. Chen, A. Scuteri et al., “Heritability of cardiovascular and personality traits in 6,148 Sardinians,” PLoS Genetics, vol. 2, no. 8, article e132, 2006. View at Publisher · View at Google Scholar · View at Scopus
  17. J. van Dongen, G. Willemsen, W.-M. Chen, E. J. C. de Geus, and D. I. Boomsma, “Heritability of metabolic syndrome traits in a large population-based sample,” Journal of Lipid Research, vol. 54, no. 10, pp. 2914–2923, 2013. View at Publisher · View at Google Scholar · View at Scopus
  18. F. V. Rijsdijk and P. C. Sham, “Analytic approaches to twin data using structural equation models,” Briefings in Bioinformatics, vol. 3, no. 2, pp. 119–133, 2002. View at Publisher · View at Google Scholar · View at Scopus
  19. J. Lim, J. Sung, and S. Won, “Efficient strategy for the genetic analysis of related samples with a linear mixed model,” Journal of the Korean Data and Information Science Society, vol. 25, no. 5, pp. 1025–1038, 2014. View at Publisher · View at Google Scholar
  20. A. R. Gilmour, R. Thompson, and B. R. Cullis, “Average information REML: an efficient algorithm for variance parameter estimation in linear mixed models,” Biometrics, vol. 51, no. 4, pp. 1440–1450, 1995. View at Publisher · View at Google Scholar · View at Scopus
  21. D. Speed, G. Hemani, M. R. Johnson, and D. J. Balding, “Improved heritability estimation from genome-wide SNPs,” The American Journal of Human Genetics, vol. 91, no. 6, pp. 1011–1021, 2012. View at Publisher · View at Google Scholar · View at Scopus
  22. T. Thornton, H. Tang, T. J. Hoffmann, H. M. Ochs-Balcom, B. J. Caan, and N. Risch, “Estimating kinship in admixed populations,” The American Journal of Human Genetics, vol. 91, no. 1, pp. 122–138, 2012. View at Publisher · View at Google Scholar · View at Scopus
  23. C. R. Darwin, On the Origin of Species by Means of Natural Selection, or the Preservation of Favoured Races in the Struggle for Life, John Murry, London, UK, 1861.
  24. I. C. McManus and C. G. N. Mascie-Taylor, “Human assortative mating for height: non-linearity and heteroscedasticity,” Human Biology, vol. 56, no. 4, pp. 617–623, 1984. View at Google Scholar · View at Scopus