We performed a comprehensive analysis for mutations in the TSC1 gene using Southern blot analysis, and SSCP and heteroduplex analysis of amplified exons in 13 families with genetic linkage to the TSC1 region, 22 small families without linkage information, and 126 sporadic patients. 17 unique mutations were identified in 21 patients. Mutations were found in 7/13 (54%) TSC1-linked families, 1/22 (5%) small families without linkage, and 13 of 126 (10%) sporadic cases. The mutations were all chain-terminating, with 14 small deletions, 1 small insertion, and 6 nonsense mutations. In families with mutations, all individuals carrying a mutation met formal diagnostic criteria for TSC, apart from a 3-year-old girl who had inherited a deletion mutation, and who had no seizures, normal intelligence, normal abdominal ultrasound, and hypomelanotic macules only on physical exam. We assessed the incidence and severity of mental retardation in the 13 sporadic patients with TSC1 mutations versus the entire sporadic cohort, and found no significant difference. The observations indicate that TSC1 mutations are all inactivating, suggest that TSC1 disease occurs in only 15–20% of the sporadic TSC population, and demonstrate that presymptomatic TSC does occur.

The novel gene, Diphor-1, was recently cloned from rat kidney and shown to increase phosphate uptake in cells when co-expressed with a Na+-Pi cotransporter, indicating that it may play a substantial role in cellular phosphate balance. Previously, the phosphate wasting disorder, autosomal dominant hypophosphatemic rickets (ADHR) was mapped to chromosome 12p13 by linkage analysis. In the present work, PDZK1, a PDZ domain-containing protein highly homologous to rat Diphor-1, was shown to be expressed in human kidney. Based upon its sequence similarity to rat Diphor-1, we considered PDZK1 a feasible candidate gene for ADHR. PDZK1 was found to localize to human chromosome 1q21, thereby ruling it out as a candidate for ADHR.

A number of localizations for the putative susceptibility gene(s) have been identified for both Crohn's disease and ulcerative colitis. In a genome wide scan, Hugot et al. (1996) identified a region on chromosome 16 which appeared to be responsible for the inheritance of inflammatory bowel disease in a small proportion of families. Subsequent work has suggested that this localization is important for susceptibility to Crohn's disease rather than ulcerative colitis (Ohmen et al. 1996; Parkes et al. 1996). We investigated the contribution of this localization to the inheritance of inflammatory bowel disease in 54 multiplex Australian families, and confirmed its importance in a significant proportion of Crohn's disease families; we further refined the localization to a region near to D16S409, obtaining a maximum LOD score of 6.3 between D16S409 and D16S753.

The structure of the human gene for deoxyribonuclease II (DNase II; EC 3.1.22.1) was determined using several specific primers based on the human DNase II cDNA sequence [Yasuda et al. (1998). J. Biol. Chem.273, 2610–2616] in a polymerase chain reaction-based strategy. The gene spanned about 6 kb and consisted of 6 exons. No canonical TATA or CAAT boxes could be identified within the 1341 nucleotides upstream of the putative transcription start site, although the 5′-flanking region contained a CpG island and several putative binding motifs for transcription factors Sp1 and ETF. These properties indicate that the DNase II gene is a housekeeping gene and this is compatible with its ubiquitous expression in human tissues. Three different cleavage/polyadenylation sites were identified in the 3′-flanking region, leading to the production of multiple DNase II mRNA species. However, a comparison of the entire translated sequences of the gene from a pair of subjects with homozygous DNase II phenotypes H and L revealed no differences in the nucleotide sequences.

Pedigree samples were collected from five ethnically and geographically different populations: Kirghizians, Turkmenians, Chuvashians, Israelis and Mexicans. All studied individuals were assessed for body height, weight and BMI. The sample size in the studied pedigrees ranged from 381 to 1811 individuals. Segregation analysis of these traits preliminarily adjusted for sex and age was performed by means of program package MAN that provides parameter estimates for the major gene effects, for the residual within the genotype correlations between relatives and for the assortative mating. By the usual transmission probability tests, the ‘environmental’ model was strongly rejected for all measured traits in all 5 populations. The major gene mode of inheritance, however, was accepted for all traits. The results of analysis in 5 populations were remarkably similar, and showed that except for Mexican sample, the proportion of variance attributable to major gene effect ranged between 37 and 53% for body weight and height. In the Mexican sample it explained only about 14% of the body weight variation. The proportion of inter-individual variation in BMI attributable to major gene effect was consistently lower in all populations in comparison with height and weight and ranged between 17 and 40%. Strong assortive mating in body height, as estimated by correlation between putative major gene genotypes in spouses, was found in four populations, not including Mexican pedigrees.

For many complex diseases, study has suggested that the disease genes influence not only the occurrence of the disease, but also the age of onset. Current methods in linkage analysis are mainly concentrated on affected relative pairs or affected family members, and age of onset information is either ignored or is taken into account by specifying age-dependent penetrances for liability classes. In fact, affected relatives with different ages of onset may be the result of different genetic aetiologies and unaffected relatives are censored at the study time. Therefore, incorporation of age of onset and including contrasts between affected and unaffected pedigree members are important components of effective analysis for the detection of linkage with genetic markers. We use multiple markers to infer the inheritance vector in order to extract information about the inheritance pattern of the disease allele in a pedigree. For a given inheritance vector, we define two neighbour sets for each individual based on allele identical by descent (IBD). We then use the within-set and between-sets conditional hazard ratios to characterize the dependence of age of onset among relatives. A pseudolikelihood ratio test is proposed for testing linkage. Simulated and real data sets are used to illustrate these new statistical methods.

A non-linear time series version of a model for the transmission of fragile X previously described in Ashley & Sherman (1995) is developed. The model retains the biological features of the Ashley/Sherman model but is easier to generalize and in particular allows the inclusion of covariates such as haplotype to model different paths and random effects to model family effects. The model is fitted to data from Murray et al. (1997) and its properties are illustrated in a simulation study.

Many traits that distinguish one individual from another, such as height or weight, are clearly heritable and yet vary continuously in populations. Continuous, heritable variation in trait levels presumably reflects the segregation of multiple genes, but elucidation of the genetic architecture of quantitative traits has been limited. Haseman & Elston (1972) developed a genetically robust method (HE) for detecting linkage to quantitative trait loci using sib-pairs. The method is based on a simple linear regression of the squared sib-pairs trait difference on the proportion of alleles shared identical by descent at a marker locus. Linkage is detected by a negative slope which has been traditionally assessed by a standard t-test. Wan, Cohen & Guerra (1997) have shown that the standard t-test is robust to the violations of the stochastic assumptions underlying the test. In practice, however, the standard t-test, based on least-squares regression, is sensitive to outliers. The presence of outliers in the data can lead to false positive and false negative linkage results. Accordingly we have developed and evaluated a statistically robust procedure for the HE approach to linkage. The procedure is based on robust regression. Simulation studies show that this robust procedure has greater power than the standard t-test in the presence of outliers, and has similar power to the standard t-test in the absence of outliers. This robust procedure also shows greater power than rank-based approaches either in the absence or presence of outliers. To illustrate the methods using real data we reanalyse data from two lipoprotein systems that motivated this work.

The 4th International Symposium on Genetics, Health and Disease is scheduled from 1–4 December 1998 in Amritsar. For further details contact: Prof. Dr Jai Rup Singh, Co-ordinator, Centre for Genetic Disorders, and Head, Department of Human Genetics, Guru Nanak Dev University, Amritsar 143005, India. Fax: +91-183-258863/258820.