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Biomedical subjects

Joachim Hallmayer

Publications and source records attributed to Joachim Hallmayer.

22 records · Page 2Linked to original sources

On the twin risk in autism.

Autism is considered by many to be the most strongly genetically influenced multifactorial childhood psychiatric disorder. In the absence of any known gene or genes, the main support for this is derived from family and twin studies. Two recent studies (Greenberg et al. 2001; Betancur et al. 2002) suggested that the twinning process itself is an important risk factor in the development of autism. If true, this would have major consequences for the interpretation of twin studies. Both studies compared the number of affected twin pairs among affected sib pairs to expected values in two separate samples of multiplex families and reported a substantial and significant excess of twin pairs. Using data from our epidemiological study in Western Australia, we investigated the possibility of an increased rate of autism in twins. All children born between 1980 and 1995 with autism, Asperger syndrome, or pervasive developmental disorder not otherwise specified (PDD-NOS) were ascertained. Of the 465 children with a diagnosis, 14 were twin births (rate 30.0/1,000) compared to 9,640 children of multiple births out of a total of 386,637 births in Western Australia between 1980 and 1995 (twin rate weighted to number of children with autism or PDD per year 26.3/1,000). These data clearly do not support twinning as a substantial risk factor in the etiology of autism. We demonstrate that the high proportion of twins found in affected-sib-pair studies can be adequately explained by the high ratio of concordance rates in monozygotic (MZ) twins versus siblings and the distribution of family size in the population studied. Our results are in agreement with those of two similar studies by Croen et al. (2002) in California and Hultman et al. (2002) in Sweden.

Australia↗

Investigation of linkage and association/linkage disequilibrium of HLA A-, DQA1-, DQB1-, and DRB1-alleles in 69 sib-pair- and 89 trio-families with schizophrenia.

The hypothesis that HLA antigens confer susceptibility to schizophrenic disorders has been tested by studying linkage and association in a family sample with 69 sib-pair families. Suggestive evidence for linkage was obtained by nonparametric multipoint LOD score analysis with a maximum around DQB CAR (P = 0.0004), a microsatellite marker that is in linkage disequilibrium with the HLA antigen DQB1. Spurious evidence for negative association as calculated by the transmission disequilibrium test was found for HLA- DRB1*11 (chi-square = 11.72, corrected P value = 0.03) and for the haplotype DQB1*301-DQA1*501-DRB1*11 (chi-square = 11.3, corrected P value = 0.043). No evidence of association with these alleles was obtained in a sample of 89 trios with schizophrenic offspring and parents. Our results are not in favor of a direct involvement of the HLA system in development of schizophrenia, but are compatible with the possible existence of a susceptibility gene in the MHC region at chromosome 6p 21.31.

Alleles↗

Genetics of complex psychiatric disorders: scientific foundations.

Advances in genetic analysis as well as progress in the Human Genome Sequencing Project have raised the hope to elucidate the molecular basis of mental disorders on the DNA level. In the present review we describe and discuss the basic concepts which are currently applied for the genetic approach in order to find DNA variations associated with a disorder. A prerequisite for such studies is the confirmed evidence for genetic transmission established by family-, twin-, and adoption studies. We describe the study design and discuss the mode of inheritance for complex genetic traits in comparison to monogenic, Mendelian traits. Recombination as a basis for linkage analysis is explained and its implication for classical LOD score analysis in families, as well as for affected sib-pair analysis and for analysis of linkage disequilibrium is discussed. Moreover, we describe types of markers and maps used in these studies. We explain and discuss the association approach in conjunction with the Human Genome Project. Finally, we stress possible implications for diagnosis, prevention and new therapeutic approaches.

Gene Frequency↗