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Estimation of Transmission Probabilities in Families Ascertained through a Proband with Variable Age-at-Onset Disease: Application to the HLA A, B and DR Loci in Finnish Families with Type 1 Diabetes

Authors :
Päivi Onkamo
Elja Arjas
Eva Tuomilehto-Wolf
Jaakko Tuomilehto
Janne Pitkäniemi
Source :
Human Heredity. 50:308-317
Publication Year :
2000
Publisher :
S. Karger AG, 2000.

Abstract

An open problem of some interest in the study of HLA has been the possible existence of transmission distortion in the human HLA complex. In this paper, transmission probabilities are estimated and tested using data on HLA A, B and DR loci genotypes of parents and offspring ascertained from the entire population of Finland (Childhood Diabetes in Finland Study) through one or more offspring diagnosed with insulin-dependent diabetes mellitus (IDDM) during the recruitment period from September 1986 to July 1989. First, we show how to get unbiased estimates of transmission probabilities from the family data collected in the disease registry of incident cases. This is accomplished by assuming that transmission of HLA genes to children in the general population is conditionally independent given the parents’ genotypes, and the birth dates of all offspring. Based on the sampling (ascertainment) process in the study on Childhood Diabetes in Finland, younger siblings of the index child (the oldest proband) are independent of the ascertainment and therefore give rise to unbiased inference regarding allele transmission. The hypothesis of Mendelian transmission of alleles at each locus was tested using the standard χ2 test. Goodness-of-fit of the Mendelian inheritance model to the individual locus data is calculated by maximizing the likelihood function over allele transmission intensities at each locus. The existence of a strong transmission distortion is not supported by this study at the loci considered.

Details

ISSN :
14230062 and 00015652
Volume :
50
Database :
OpenAIRE
Journal :
Human Heredity
Accession number :
edsair.doi.dedup.....3c61d26e10dbd59cf80699384afac426