ACE model
The ACE model is a statistical model commonly used to analyze the results of twin studies. It aims to decompose sources of phenotypic variation into three categories: additive genetic variance (A), common environmental factors (C), and specific environmental factors (E). It is widely used in genetic epidemiology and behavioural genetics.[1][2] The basic ACE model relies on several assumptions, including the absence of assortative mating,[3] that there is no genetic dominance or epistasis,[4] that all genetic effects are additive, and the absence of gene-environment interactions.[2] In order to address these limitations, several variants of the ACE model have been developed, including an ACE-β model, which emphasizes the identification of causal effects,[2] and the ACDE model, which accounts for the presence of dominant genetic effects.[5]
See also
References
- ^ Maes, Hermine H. (2005-10-15). ACE Model. Chichester, UK: John Wiley & Sons, Ltd. doi:10.1002/0470013192.bsa002. ISBN 0470860804.
{{cite encyclopedia}}:|journal=ignored (help) - ^ a b c Kohler, Hans-Peter; Behrman, Jere R.; Schnittker, Jason (2011). "Social science methods for twins data: integrating causality, endowments, and heritability". Biodemography and Social Biology. 57 (1): 88–141. ISSN 1948-5565. PMC 3158495. PMID 21845929.
- ^ Beauchamp, Jonathan P.; Cesarini, David; Johannesson, Magnus; Lindqvist, Erik; Apicella, Coren (2010-07-06). "On the sources of the height–intelligence correlation: New insights from a bivariate ACE model with assortative mating". Behavior Genetics. 41 (2): 242–252. doi:10.1007/s10519-010-9376-7. ISSN 0001-8244. PMC 3044837. PMID 20603722.
- ^ Lawlor, Debbie A.; Lawlor, Deborah A.; Mishra, Gita D. (2009-04-02). Family Matters: Designing, Analysing and Understanding Family Based Studies in Life Course Epidemiology. OUP Oxford. pp. 252–3. ISBN 9780199231034.
- ^ Wang, Xueqin; Guo, Xiaobo; He, Mingguang; Zhang, Heping (2011-02-09). "Statistical Inference in Mixed Models and Analysis of Twin and Family Data". Biometrics. 67 (3): 987–995. doi:10.1111/j.1541-0420.2010.01548.x. ISSN 0006-341X. PMC 3129472. PMID 21306354.
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