Skip to main content
Top
Published in: BMC Medical Research Methodology 1/2011

Open Access 01-12-2011 | Research article

Estimating the mode of inheritance in genetic association studies of qualitative traits based on the degree of dominance index

Authors: Elias Zintzaras, Mauro Santos

Published in: BMC Medical Research Methodology | Issue 1/2011

Login to get access

Abstract

Background

The biological justification for the choice of the genetic mode in genetic association studies (GAS) is seldom available. Then, the mode of inheritance is approximated by investigating a number of non-orthogonal genetic contrasts making the interpretation of results difficult.

Methods

We propose to define the mode of inheritance by the significance of the deviance of the co-dominant contrast and the degree of dominance (h), which is a function of two orthogonal contrasts (the co-dominant and additive). Non-dominance exists when the co-dominant contrast is non-significant and, hence, the risk effect of heterozygotes lies in the middle of the risk of the two homozygotes. Otherwise, dominance (including over- and under-dominance) is present and the direction of dominance depends on the value of h.

Results

Simulations show that h may capture the real mode of inheritance and it is affected by deviations from Hardy-Weinberg equilibrium (HWE). In addition, power for detecting significance of h when the study conforms to HWE rule increases with the degree of dominance and to some extent is related to the mutant allele frequency.

Conclusion

The introduction of the degree of dominance provides useful insights into the mode of inheritance in GAS.
Appendix
Available only for authorised users
Literature
1.
go back to reference Zintzaras E, Lau J: Synthesis of genetic association studies for pertinent gene-disease associations requires appropriate methodological and statistical approaches. Journal of Clinical Epidemiology. 2008, 61: 634-645. 10.1016/j.jclinepi.2007.12.011.CrossRefPubMed Zintzaras E, Lau J: Synthesis of genetic association studies for pertinent gene-disease associations requires appropriate methodological and statistical approaches. Journal of Clinical Epidemiology. 2008, 61: 634-645. 10.1016/j.jclinepi.2007.12.011.CrossRefPubMed
2.
go back to reference Hirschhorn JN, Lohmueller K, Byrne E, Hirschhorn K: A comprehensive review of genetic association studies. Genetics in Medicine. 2004, 4: 45-61.CrossRef Hirschhorn JN, Lohmueller K, Byrne E, Hirschhorn K: A comprehensive review of genetic association studies. Genetics in Medicine. 2004, 4: 45-61.CrossRef
3.
go back to reference Munafò MR, Flint J: Meta-analysis of genetic association studies. Trends in Genetics. 2004, 20: 439-44. 10.1016/j.tig.2004.06.014.CrossRefPubMed Munafò MR, Flint J: Meta-analysis of genetic association studies. Trends in Genetics. 2004, 20: 439-44. 10.1016/j.tig.2004.06.014.CrossRefPubMed
4.
go back to reference Zintzaras E: The generalized odds ratio as a measure of genetic risk effect in the analysis and meta-analysis of association studies. Statistical Applications in Genetics and Molecular Biology. 2010, 9: Article 21 Zintzaras E: The generalized odds ratio as a measure of genetic risk effect in the analysis and meta-analysis of association studies. Statistical Applications in Genetics and Molecular Biology. 2010, 9: Article 21
5.
go back to reference Lewis CM: Genetic association studies: design, analysis and interpretation. Brief Bioinform. 2002, 3 (2): 146-53. 10.1093/bib/3.2.146.CrossRefPubMed Lewis CM: Genetic association studies: design, analysis and interpretation. Brief Bioinform. 2002, 3 (2): 146-53. 10.1093/bib/3.2.146.CrossRefPubMed
6.
go back to reference Minelli C, Thompson JR, Abrams KR, Thakkinstian A, Attia J: The choice of a genetic model in the meta-analysis of molecular association studies. International Journal of Epidemiology. 2005, 34: 1319-1328. 10.1093/ije/dyi169.CrossRefPubMed Minelli C, Thompson JR, Abrams KR, Thakkinstian A, Attia J: The choice of a genetic model in the meta-analysis of molecular association studies. International Journal of Epidemiology. 2005, 34: 1319-1328. 10.1093/ije/dyi169.CrossRefPubMed
7.
go back to reference Attia J, Thakkinstian A, D'Este C: Meta-analyses of molecular association studies: methodologic lessons for genetic epidemiology. Journal of Clinical Epidemiology. 2003, 56: 297-303. 10.1016/S0895-4356(03)00011-8.CrossRefPubMed Attia J, Thakkinstian A, D'Este C: Meta-analyses of molecular association studies: methodologic lessons for genetic epidemiology. Journal of Clinical Epidemiology. 2003, 56: 297-303. 10.1016/S0895-4356(03)00011-8.CrossRefPubMed
8.
go back to reference McCullagh P, Nelder JA: Generalized Linear Models. 1989, Chapman and Hall: LondonCrossRef McCullagh P, Nelder JA: Generalized Linear Models. 1989, Chapman and Hall: LondonCrossRef
9.
go back to reference Mead R: The Design of Experiments. 1988, Cambridge University Press: Cambridge Mead R: The Design of Experiments. 1988, Cambridge University Press: Cambridge
10.
go back to reference Zintzaras E: Variance estimation of allele-based odds ratio in the absence of Hardy-Weinberg equilibrium. European Journal of Epidemiology. 2008, 23: 323-326. 10.1007/s10654-008-9242-6.CrossRefPubMed Zintzaras E: Variance estimation of allele-based odds ratio in the absence of Hardy-Weinberg equilibrium. European Journal of Epidemiology. 2008, 23: 323-326. 10.1007/s10654-008-9242-6.CrossRefPubMed
11.
go back to reference Kokoska S, Nevison C: Statistical Tables and Formulae. 1992, Springer-Verlag: New York Kokoska S, Nevison C: Statistical Tables and Formulae. 1992, Springer-Verlag: New York
12.
go back to reference Crow JF, Kimura M: An Introduction to Population Genetics Theory. 1970, Harper & Row: London Crow JF, Kimura M: An Introduction to Population Genetics Theory. 1970, Harper & Row: London
13.
go back to reference Falconer DS, Mackay TFC: Introduction to Quantitative Genetics. 1996, Longmans Green: Harlow, 4 Falconer DS, Mackay TFC: Introduction to Quantitative Genetics. 1996, Longmans Green: Harlow, 4
14.
go back to reference Thakkinstian A, Thompson JR, Minelli C, Attia J: Choosing between per-genotype, per-allele, and trend approaches for initial detection of gene-disease association. Journal of Applied Statistics. 2009, 36: 633-646. 10.1080/02664760802484990.CrossRef Thakkinstian A, Thompson JR, Minelli C, Attia J: Choosing between per-genotype, per-allele, and trend approaches for initial detection of gene-disease association. Journal of Applied Statistics. 2009, 36: 633-646. 10.1080/02664760802484990.CrossRef
15.
go back to reference Zintzaras E: Impact of Hardy-Weinberg equilibrium deviation on allele-based risk effect of genetic association studies and meta-analysis. European Journal of Epidemiology. 2010, 25: 553-560. 10.1007/s10654-010-9467-z.CrossRefPubMed Zintzaras E: Impact of Hardy-Weinberg equilibrium deviation on allele-based risk effect of genetic association studies and meta-analysis. European Journal of Epidemiology. 2010, 25: 553-560. 10.1007/s10654-010-9467-z.CrossRefPubMed
16.
go back to reference Weir BS: Genetic Data Analysis. 1990, Sinauer Associates: Massachusetts Weir BS: Genetic Data Analysis. 1990, Sinauer Associates: Massachusetts
17.
go back to reference Hernández JL, Weir BS: A disequilibrium coefficient approach to Hardy-Weinberg testing. Biometrics. 1989, 45: 53-70. 10.2307/2532034.CrossRefPubMed Hernández JL, Weir BS: A disequilibrium coefficient approach to Hardy-Weinberg testing. Biometrics. 1989, 45: 53-70. 10.2307/2532034.CrossRefPubMed
18.
go back to reference Fatini C, Abbate R, Pepe G, Battaglini B, Gensini F, Ruggiano G, Gensini GF, Guazzelli R: Searching for a better assessment of the individual coronary risk profile. The role of angiotensin-converting enzyme, angiotensin II type 1 receptor and angiotensinogen gene polymorphisms. Eur Heart J. 2000, 21 (8): 633-8. 10.1053/euhj.1999.1738.CrossRefPubMed Fatini C, Abbate R, Pepe G, Battaglini B, Gensini F, Ruggiano G, Gensini GF, Guazzelli R: Searching for a better assessment of the individual coronary risk profile. The role of angiotensin-converting enzyme, angiotensin II type 1 receptor and angiotensinogen gene polymorphisms. Eur Heart J. 2000, 21 (8): 633-8. 10.1053/euhj.1999.1738.CrossRefPubMed
19.
go back to reference Zintzaras E, Stefanidis I, Santos M, Vidal F: Do alcohol-metabolizing enzyme gene polymorphisms increase the risk of alcoholism and alcoholic liver disease?. Hepatology. 2006, 43: 352-361. 10.1002/hep.21023.CrossRefPubMed Zintzaras E, Stefanidis I, Santos M, Vidal F: Do alcohol-metabolizing enzyme gene polymorphisms increase the risk of alcoholism and alcoholic liver disease?. Hepatology. 2006, 43: 352-361. 10.1002/hep.21023.CrossRefPubMed
20.
go back to reference Neves-Pereira M, Cheung JK, Pasdar A, Zhang F, Breen G, Yates P, Sinclair M, Crombie C, Walker N, St Clair DM: BDNF gene is a risk factor for schizophrenia in a Scottish population. Mol Psychiatry. 2005, 10 (2): 208-12. 10.1038/sj.mp.4001575.CrossRefPubMed Neves-Pereira M, Cheung JK, Pasdar A, Zhang F, Breen G, Yates P, Sinclair M, Crombie C, Walker N, St Clair DM: BDNF gene is a risk factor for schizophrenia in a Scottish population. Mol Psychiatry. 2005, 10 (2): 208-12. 10.1038/sj.mp.4001575.CrossRefPubMed
21.
go back to reference Zintzaras E, Lau J: Trends in meta-analysis of genetic association studies. Journal of Human Genetics. 2008, 53: 1-9. 10.1007/s10038-007-0223-5.CrossRefPubMed Zintzaras E, Lau J: Trends in meta-analysis of genetic association studies. Journal of Human Genetics. 2008, 53: 1-9. 10.1007/s10038-007-0223-5.CrossRefPubMed
22.
go back to reference Wang WY, Barratt BJ, Clayton DG, Todd JA: Genome-wide association studies: theoretical and practical concerns. Nature Review Genetics. 2005, 6: 109-18. 10.1038/nrg1522.CrossRef Wang WY, Barratt BJ, Clayton DG, Todd JA: Genome-wide association studies: theoretical and practical concerns. Nature Review Genetics. 2005, 6: 109-18. 10.1038/nrg1522.CrossRef
23.
go back to reference Thakkinstian A, McElduff P, D'Este C, Duffy D, Attia J: A method for meta-analysis of molecular association studies. Statistics in Medicine. 2005, 24: 1291-1306. 10.1002/sim.2010.CrossRefPubMed Thakkinstian A, McElduff P, D'Este C, Duffy D, Attia J: A method for meta-analysis of molecular association studies. Statistics in Medicine. 2005, 24: 1291-1306. 10.1002/sim.2010.CrossRefPubMed
24.
go back to reference Minelli C, Thompson JR, Abrams KR, Lambert PC: Bayesian implementation of a genetic model-free approach to the meta-analysis of genetic association studies. Statistics in Medicine. 2005, 24: 3845-3861. 10.1002/sim.2393.CrossRefPubMed Minelli C, Thompson JR, Abrams KR, Lambert PC: Bayesian implementation of a genetic model-free approach to the meta-analysis of genetic association studies. Statistics in Medicine. 2005, 24: 3845-3861. 10.1002/sim.2393.CrossRefPubMed
25.
go back to reference Spiegelhalter DJ, Abrams KR, Myles JP: Bayesian Approaches to Clinical Trials and Health Care Evaluation. 2004, Wiley: New York Spiegelhalter DJ, Abrams KR, Myles JP: Bayesian Approaches to Clinical Trials and Health Care Evaluation. 2004, Wiley: New York
Metadata
Title
Estimating the mode of inheritance in genetic association studies of qualitative traits based on the degree of dominance index
Authors
Elias Zintzaras
Mauro Santos
Publication date
01-12-2011
Publisher
BioMed Central
Published in
BMC Medical Research Methodology / Issue 1/2011
Electronic ISSN: 1471-2288
DOI
https://doi.org/10.1186/1471-2288-11-171

Other articles of this Issue 1/2011

BMC Medical Research Methodology 1/2011 Go to the issue