Volume 15, Issue 5 pp. 451-469
Original Article
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Testing for contributions of mitochondrial DNA mutations to complex diseases

Fengzhu Sun

Corresponding Author

Fengzhu Sun

Department of Genetics, Emory University School of Medicine, Atlanta, Georgia

Department of Genetics, Emory University School of Medicine, 1462 Clifton Road, N.E., Atlanta, GA 30322Search for more papers by this author
Allison E. Ashley-Koch

Allison E. Ashley-Koch

Department of Genetics, Emory University School of Medicine, Atlanta, Georgia

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L. Kathryn Durham

L. Kathryn Durham

Department of Biostatistics, The Rollins School of Public Health of Emory University, Atlanta, Georgia

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Eleanor Feingold

Eleanor Feingold

Department of Biostatistics, The Rollins School of Public Health of Emory University, Atlanta, Georgia

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M. Elizabeth Halloran

M. Elizabeth Halloran

Department of Biostatistics, The Rollins School of Public Health of Emory University, Atlanta, Georgia

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Amita K. Manatunga

Amita K. Manatunga

Department of Biostatistics, The Rollins School of Public Health of Emory University, Atlanta, Georgia

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Stephanie L. Sherman

Stephanie L. Sherman

Department of Genetics, Emory University School of Medicine, Atlanta, Georgia

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Abstract

Several complex disorders are suspected of being associated with mitochondrial DNA (mtDNA) mutations. We studied the statistical properties of a test based on proband–relative pairs to identify potential mtDNA mutation involvement in a complex disorder. The test compares the recurrence risk of relatives of probands along the mitochondrial lineage with that of relatives along the nonmitochondrial lineage. If mtDNA mutations are involved, the recurrence risk will be higher among relatives in the mitochondrial lineage. The form of the test is independent of the assumed models of inheritance and interaction of the nuclear autosomal mutations with mtDNA mutations. The power of the test, however, differs among the different models and by the type of proband–relative pairs used in the test. We considered heterogeneity models with and without phenocopies, a three-state heteroplasmic mtDNA transmission model, and a multiplicative epistasis model. Under the heterogeneity model, the power of the test increases as the relationship between the proband and the relative becomes more distant. Under the multiplicative epistasis model, the power of the test decreases as the relationship between the proband and the relative becomes more distant. Genet. Epidemiol. 15:451–469,1998. © 1998 Wiley-Liss, Inc.

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