Fitting ACE Structural equation models to case-control family data

Genetic Epidemiology

Volumn 34, Issue 3, 2010, Pages 238-245

  Javaras, K N ^a   Hudson, J I ^b,c   Laird, N M ^d  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b HARVARD MEDICAL SCHOOL   (United States)

^c MCLEAN HOSPITAL   (United States)

^d HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Clustered binary data; Heritability; Path analysis; Variance components

Indexed keywords

ARTICLE; AUSTRIA; CONTROLLED STUDY; DEPRESSION; DISEASE COURSE; FAMILY STUDY; GENETIC VARIABILITY; GENOTYPE ENVIRONMENT INTERACTION; HEREDITY; HUMAN; OUTCOME ASSESSMENT; POPULATION RESEARCH; SIMULATION; TWINS;

AUSTRIA; CASE-CONTROL STUDIES; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DEPRESSIVE DISORDER; FAMILY HEALTH; GENETIC DISEASES, INBORN; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, GENETIC; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS;

EID: 77949815850     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.20454     Document Type: Article

References (59)

1. Akaike H. 1987. Factor analysis and AIC. Psychometrika 52:317-332.
2. American Psychiatric Association. 1994. Diagnostic and Statistical Manual of Mental Disorders, 4th edition. Washington, DC: American Psychiatric Press.
3. Bowden J, Thompson JR, Burton PR. 2006. A two-stage approach to the correction of ascertainment bias in complex genetic studies involving variance components. Ann Hum Genet 71:220-229.
4. Burton PR. 2002. Comment on "Ascertainment adjustment in complex diseases". Genet Epidemiol 23:214-218.
5. Burton PR. 2003. Correcting for nonrandom ascertainment in generalized linear mixed models (GLMMs), fitted using Gibbs sampling. Genet Epidemiol 24:24-35.
6. Burton PR, Tiller KJ, Gurrin LC, Cookson WOCM, Musk AW, Palmer LJ. 1999. Genetic variance components analysis for binary phenotypes using generalized linear mixed models (GLMMs) and Gibbs sampling. Genet Epidemiol 17:118-140.
7. Burton PR, Palmer LJ, Jacobs K, Keen KJ, Olson JM, Elston RC. 2001. Ascertainment adjustment: Where does it take us? Am J Hum Genet 67:1505-1514.
8. Byrd RH, Lu P, Nocedal J, Zhu C. 1995. A limited memory algorithm for bound constrained optimization. SIAM J Sci Comput 16:1190-1208.
9. Chakraborty R. 1986. The inheritance of pyloric stenosis explained by a multifactorial threshold model with sex dimorphism for liability. Genet Epidemiol 3:1-15.
10. Chernoff H. 1954. On the distribution of the likelihood ratio. Ann Math Stat 25:573-578.
11. Curnow RN, Smith C. 1975. Multifactorial models for familial diseases in man. J R Stat Soc A 138:131-169.
12. Dominicus A, Skrondal A, Gjessing HK, Pedersen NL, Palmgren J. 2006. Likelihood ratio tests in behavioral genetics: Problems and solutions. Behav Genet 36:331-340.
13. Epstein MP. 2002. Comment on "Ascertainment adjustment in complex diseases". Genet Epidemiol 23:209-213.
14. Epstein MP, Lin X, Boehnke M. 2002. Ascertainment-adjusted parameter estimates revisited. Am J Hum Genet 70:886-895.
15. Falconer DS. 1965. The inheritance of liability to certain diseases, estimated from the incidence among relatives. Ann Hum Genet 29:51-76.
16. First MB, Spitzer RL, Gibbons M, Williams JBW. 1994. Structured Clinical Interview for Axis I DSM-IV Disorders - Patient Edition (SCID-I/P, version 2.0). New York: Biometrics Research Department, New York State Psychiatric Institute.
17. Genz A. 1992. Numerical computation of multivariate normal probabilities. J Comput Graphical Stat 1:141-149.
18. Gjessing HK, Lie RT. 2008. Biometrical modelling in genetics: are complex traits too complex? Stat Methods Med Res 17:75-96.
19. Glidden DP. 2002. Rejoinder on "Ascertainment adjustment in complex diseases". Genet Epidemiol 23:219-220.
20. Glidden DV, Liang KY. 2002. Ascertainment adjustment in complex diseases. Genet Epidemiol 23:201-208.
21. Guo G, Wang J. 2002. The mixed or multilevel model for behavior genetic analysis. Behav Genet 32:37-49.
22. Hopper JL. 1993. Variance components for statistical genetics: applications in medical research to characteristics related to human diseases and health. Stat Methods Med Res 2:199-223.
23. Hopper JL, Mathews JD. 1982. Extensions to multivariate normal models for pedigree analysis. Ann Hum Genet 46:373-383.
24. Hudson JI, Laird NM, Betensky RA. 2001. Multivariate logistic regression for familial aggregation of two disorders: I. Development of models and methods. Am J Epidemiol 153:501-505.
25. Hudson JI, Mangweth B, Pope Jr. HG, De Col C, Hausmann A, Gutweniger S, Laird NM, Biebl W, Tsuang MT. 2003. Family study of affective spectrum disorder. Arch Gen Psychiatry 60: 170-177.
26. Javaras KN, Laird NM, Hudson JI, Ripley BD. 2009. Estimating disease prevalence using relatives of case and control probands. Biometrics, published online, May 2009.
27. Khoury MJ, Beaty TH, Cohen BH. 1993. Fundamentals of Genetic Epidemiology. Oxford: Oxford University Press.
28. Kraemer HC. 1997. What is the "right" statistical measure of twin concordance (or diagnostic reliability and validity)? [Commentary]. Arch Gen Psychiatry 54:1121-1124.
29. Kuhnert PM, Do KA. 2003. Fitting genetic models to twin data with binary and observed categorical responses: a comparison of structural equation model and Bayesian hierarchical models. Behav Genet 33:441-454.
30. Laird NM, Cuenco KT. 2003. Regression methods for assessing familial aggregation of disease. Stat Med 22:1447-1455.
31. Lalouel JM, Morton NE. 1981. Complex segregation analysis with pointers. Hum Hered 31:312-321.
32. Lalouel JM, Rao DC, Morton NE, Elston RC. 1983. A unified model for complex segregation analysis. Am J Hum Genet 35:816-826.
33. Lange K. 1978. Central limit theorems of pedigrees. J Math Biol 6:59-66.
34. Liang KY, Pulver AE. 1996. Analysis of case-control/family sampling design. Genet Epidemiol 13:253-270.
35. Lyons MJ, Faraone SV, Tsuang MT, Goldberg J, Ramakrishnan V, Eaves LJ, Meyer J, True WR, Eisen SA. 1997. Another view on the "right" statistical measure of twin concordance [Commentary]. Arch Gen Psychiatry 54:1126-1128.
36. Maes HMM, Neale MC, Eaves LJ. 1997. Genetic and environmental factors in relative body weight and human adiposity. Behav Genet 27:325-351.
37. Matthews AG, Finkelstein DM, Betensky RA. 2005. Analysis of familial aggregation in the presence of varying family sizes. Appl Stat 54:847-862.
38. McArdle JJ, Prescott CA. 2005. Mixed-effects variance components models for biometric family analysis. Behav Genet 35:631-652.
39. Moffitt TE, Caspi A, Rutter M. 2005. Strategy for investigating interactions between measured genes and measured environments. Arch Gen Psychiatry 62:473-481.
40. Morton NE, MacLean CJ. 1974. Analysis of family resemblance. III. Complex segregation of quantitative traits. Am J Hum Genet 26:489-503.
41. Neale MC, Maes HHM. 2004. Methodology for Genetic Studies of Twins and Families. Dordrecht: Kluwer Academic Publishers.
42. Noh M, Yip B, Lee Y, Pawitan Y. 2006. Multicomponent variance estimation for binary traits in family-based studies. Genet Epidemiol 30:37-47.
43. Pawitan Y, Reilly M, Nilsson E, Cnattingius S, Lichtenstein P. 2004. Estimation of genetic and environmental factors for binary traits using family data. Stat Med 23:449-465.
44. Pfeiffer RM, Gail MH, Pee D. 2001. Inference for covariates that accounts for ascertainment and random genetic effects in family studies. Biometrika 88:933-948.
45. Pitkäniemi J, Moltchanova E, Haapala L, Harjutsalo V, Tuomilehto J, Hakulinen T. 2007. Genetic random effects model for family data with long-term survivors: analysis of diabetic nephropathy in Type 1 Diabetes. Genet Epidemiol 31:697-708.
46. Rabe-Hesketh S, Skrondal A, Gjessing HK. 2008. Biometrical modeling of twin and family data using standard mixed model software. Biometrics 64:280-288.
47. Rice J, Nichols PL, Gottesman II. 1981. Assessment of sex differences for multifactorial traits using path analysis: application to learning difficulties. Psychiatry Res 4:301-312.
48. Ripley BD. 1987. Stochastic Simulation. New York: Wiley.
49. Self SG, Liang KY. 1987. Asymptotic properties of maximum likelihood estimators and likelihood ratio tests under nonstandard conditions. J Am Stat Assoc 82:605-610.
50. Stram DO, Lee JW. 1994. Variance component testing in the longitudinal mixed effects model. Biometrics 50:1171-1177.
51. Stram DO, Lee JW. 1995. Correction to "variance components testing in the longitudinal mixed effects model." Biometrics 51:1196.
52. Sullivan PF, Eaves LJ. 2002. Evaluation of analyses of univariate discrete twin data. Behav Genet 32:221-227.
53. Sullivan PF, Neale MC, Kendler KS. 2000. Genetic epidemiology of major depression: review and meta-analysis. Am J Psychiatry 157:1552-1562.
54. Thomas DC. 2004. Statistical Methods in Genetic Epidemiology. Oxford: Oxford University Press.
55. Thompson EA. 1986. Pedigree Analysis in Human Genetics. Baltimore, MD: The Johns Hopkins University Press.
56. Tosteson TD, Rosner B, Redline S. 1991. Logistic regression for clustered binary data in proband studies with application to familial aggregation of sleep disorders. Biometrics 47:1257-1265.
57. Verbeke G, Molenberghs G. 2003. The use of score tests for inference on variance components. Biometrics 59:254-262.
58. Whittemore AS. 1995. Logistic regression of family data from case-control studies. Biometrika 82:57-67.
59. Zhao LP, Hsu L, Holte S, Chen Y, Quiaoit F, Prentice RL. 1998. Combined association and aggregation analysis of data from case-control family studies. Biometrika 85:299-315.