We evaluated denaturing high pressure liquid chromatography (DHPLC) as a scanning method for mutation detection in TSC2, and compared it to conformation-sensitive gel electrophoresis (CSGE) and single-stranded conformation polymorphism analysis (SSCP). The first 20 exons of TSC2 were amplified from 84 TSC patients and screened initially by CSGE and then by DHPLC. Optimization of DHPLC analysis of each exon was carried out by design of primers with minimum variation in the melting temperature of the amplicon, and titration of both elution gradient and temperature. CSGE analysis identified 40 shifts (21 unique) in the 84 patients and 20 exons. All of these variants were detected by DHPLC, and an additional 27 changes (14 unique) were identified. Overall 15 of 28 (54%) unique single base substitutions were detected by CSGE; all were detected by DHPLC. 25 definite or probable mutations were found in these 84 patients (30%) in exons 1–20 of TSC2. In a subsequent blinded analysis of 15 samples with 18 distinct TSC2 sequence variants originally detected by SSCP in another centre, all variants were detected by DHPLC except one where the variation occurred within the primer. Ten other (7 unique) sequence variants were detected in these samples which had not been detected by SSCP. Overall, 11 of 16 (69%) unique single base substitutions were detected by SSCP; all were detected by DHPLC. We conclude that DHPLC is superior to both CSGE and SSCP for detection of DNA sequence variation in TSC2, particularly for single base substitution mutations.

It was investigated whether radiographic osteoarthritis (ROA) is associated with specific haplotypes of the COL2A1 gene. Radiographs of knees, hips, hands, and spine were scored for the presence of ROA in subjects of 55–70 years from a population-based cohort study, the Rotterdam study. Cases had ROA in 3 or more joint groups; controls, from the same population, had ROA in less than 3 joint groups. Allele frequencies of 3 dimorphisms (HaeIII, HindIII, MaeII) and a VNTR polymorphism of the COL2A1 gene were determined. The VNTR allele 14R2 and the HindIII polymorphism showed a significant association. Haplotype analysis of the HaeIII, HindIII and VNTR polymorphisms showed that a specific haplotype (1-2-14R2) is strongly associated with ROA in 3 or more joint groups (OR = 5.3, 95% CI 2.3–12.7). Our results suggest that a specific haplotype of the COL2A1 locus may predispose to generalised ROA.

Studies of rare Mendelian disorders of low density lipoprotein cholesterol (LDL-C) metabolism have identified specific genetic mutations in the LDL receptor and apolipoprotein B. Although these rare mutations account for a small proportion of LDL-C variation, twin and adoption studies indicate that at least 50% of the overall LDL-C observed variation is genetically determined. In a heterogeneous sample of 3227 subjects from the NHLBI Family Heart Study collected from four US centres, we find evidence for a common major gene accounting for mild elevations (1.25 standard deviations) in LDL-C. The analysis favored a recessive model with a frequency of 0.52 for the gene influencing elevated LDL-C, phenotypic means of 113 mg/dl for the normal genotypes and 146 mg/dl for the abnormal genotype, and a significant polygenic heritability. This statistically-inferred major gene accounted for 24% of the variation in LDL-C, with polygenes accounting for another 28% of the variation. Using parameters for major gene transmission estimated in the segregation analysis, LDL-C showed no linkage to the LDL receptor gene (LDLR), nor to the apolipoprotein E gene (APOE), nor to the cholesterol 7α-hydroxylase gene (CYP7A1), indicating the major gene effect influencing mild elevation in LDL-C is not explained by any of these candidate loci.

Although the Canary Islands were settled by humans, possibly of Berber origin, as late as 2500 years ago, the precise course and numbers of early migrations to the archipelago remain controversial. We have therefore analysed mtDNA variation (HVS-I as well as selected RFLP sites) in 300 individuals from the seven Canary Islands. The distribution and variation across the islands in a specific mtDNA clade of Northwest African ancestry suggest that there was one dominant initial settlement process that affected all the islands, from east to west. This indicates that a certain genetic affinity of present-day Canary Islanders to Northwest African Berbers mainly stems from the autochthonous population rather than slaves captured on the neighbouring African coast. The slave trade after the European conquest left measurable, though minor, traces in the mtDNA pool of the Canary Islands, which in its majority testifies to the European immigration.

The present study attempted to evaluate the relative importance of familial/genetic factors in interindividual variation of plasma concentrations of vitamin D (calcidiol). Ninety-five nuclear pedigrees (187 males and 168 females, aged 18–91 and 18–86 years old respectively), from the Chuvasha Autonomy, Russia, were assessed for calcidiol and sex hormones. Age-adjusted 25-hydroxy-vitamin D (25OHD) measures showed very high pair-wise correlations between all members of families, which suggest that there may be a genetic factor transmitted within the families. To test this assumption, complex segregation analysis of non-adjusted 25OHD data was undertaken, in which genotype-sex specific dependence of the trait on age was incorporated. The analysis showed that some 44% of the 25OHD variance was attributable to all genetic and non-genetic factors incorporated into the model. About 22% of the variation was accounted for by a putative major gene effect.

Direct identity-by-descent mapping is a technique for narrowing down the location of the gene or genes responsible for a given genetic disease to small segments of the genome. The technique involves DNA comparisons between pairs of affected individuals. The data generated are in the form of matching segments of the genome, representing regions likely to be identical-by-descent (IBD). Regions in the genome over which there are significantly more segments aligned than is expected by chance are taken as candidate regions for the disease gene or genes. Due to the complex geometric nature of the data, significance testing involves certain mathematical difficulties. We present here a new method for measuring this significance. This method introduces a novel statistic and is appropriate whether or not the relationships between the paired individuals are known. We give examples that we have calculated by implementing this method, including an application to real data.

Age of onset is a key factor in the linkage analysis of many complex diseases. Current methods in nonparametric linkage analysis are mainly concentrated on the affected relative pairs or affected family members with age of onset information either ignored or taken into account by specifying age-dependent penetrances for liability classes. On the other hand, gamma frailty models were developed in the biostatistics literature to model familial aggregation of age of onset. However, these frailty models cannot be used directly for linkage analysis. This paper extends the gamma frailty model by incorporating inheritance vector information and provides a semiparametric approach for linkage testing. For a given inheritance vector at the putative disease locus, we construct an additive genetic gamma frailty for each individual within a nuclear family and use the Cox proportional hazard model to model age of onset. We derive the conditional hazard ratio parameter for sib pairs and define a likelihood ratio based LOD score statistic under our model. The EM algorithm is used for estimating the parameters and the maximum likelihood functions. Simulated data sets are used to illustrate these new statistical methods.

Xiong et al. (1998) proposed a general transmission disequilibrium test (TDT) for quantitative traits. Their TDT for quantitative traits permits more than one child and more than one heterozygous parent per family. This TDT is also appropriate for the situation where the trait and marker loci are at varying degrees of linkage and linkage disequilibrium. Their generalized TDT statistic for a multi-allele marker locus may be more useful in practice. However, there are several mistakes in their mathematical presentation for this generalized TDT statistic for a multi-allele marker locus, and it confuses readers. Here, we present a corrected TDT statistic for a multi-allele marker locus with a clearer presentation. We hope that this new presentation will remove some confusion for readers.