We report a branch site mutation in the gene of the enzyme tyrosine hydroxylase (TH): a −24t > a substitution two bases upstream of the adenosine in the branchpoint sequence (BPS) of intron 11. As normal lariat formation is therefore prevented, alternative splicing takes place: use of the BPS of intron 12 results in skipping of exon 12, whereas the use of a cryptic branch site in intron 11 leads to partial retention of this intron in the mRNA. This leads in both cases to an aberrant protein product. In the one case, skipping of exon 12 results in the absence of 32 amino acids. In the other, retention of 36 nucleotides of intron 11 in the mRNA results in the incorporation of twelve additional amino acids. The functional consequences of this mutation for the patient, who is also heterozygous for another previously identified mutation, become apparent in a severe clinical phenotype.

Long PCR followed by nested PCR has previously been used to determine CYP2A6 160H alleles, but the method proved unreliable. We have optimized this approach in a DNA bank of 1032 subjects (age range 59–74 years) to give reliable results, yielding indirect molecular evidence and very strong statistical evidence of hitherto unrecognized common alleles (designated O) recalcitrant to the long PCR. Coding three alleles (160L, 160H and O) and an approach to association analysis originally developed to deal with null alleles implicit in ABO blood group phenotyping, the contribution of 160H (functionally null) to reduced smoking habit has been clearly measured for the first time, unconfounded by alleles null to the long PCR. The most significant findings (p < 0.01) are that the possession of a 160H allele, compared with not possessing a 160H allele, is associated with a mean age of starting regular smoking 3 years later (95% CI±1.93 years, average start age 20–21 years rather than 17–18 years); and that the average likelihood of quitting smoking at any time is 1.75 fold (95% CI. 1.17–2.61) for those possessing an 160H allele compared with those who have no 160H allele. This suggests that a smoking subject with a genotype predicted to confer 50% of the ability to eliminate nicotine via the CYP2A6 pathway has almost twice the likelihood of quitting smoking.

Mutations in the translated part of the leptin gene (LEP) have been found in only two families. Nevertheless DNA polymorphisms in the LEP region are linked to extreme obesity. We previously found in the 5′ region of LEP a polymorphism, G-2548A, associated with a difference in BMI reduction following a low calorie diet in overweight women. Recently, this polymorphism was associated with extreme obesity in women. In this work, we genotyped a new sample from the general population including 314 normal weight (BMI < 27 kg/m2) and 109 overweight subjects (BMI [ges ] 27 kg/m2). The genotype and allele frequencies were significantly different between groups, with the G-2548 allele being more frequent in the overweight subjects (p < 0.01). In men, carriers of this allele had lower leptin concentrations adjusted for fat mass (p = 0.05). Our results indicate that variations at the leptin locus are associated with common obesity phenotypes, and not only with extreme obesity or the rare mendelian obesity syndromes.

We typed 1801 males from 55 locations for the Y-specific binary markers YAP, DYZ3, SRY10831 and the (CA)n microsatellites YCAII and DYS413. Phylogenetic relationships of chromosomes with the same binary haplotype were condensed in seven large one-step networks, which accounted for 95% of all chromosomes. Their coalescence ages were estimated based on microsatellite diversity. The three largest and oldest networks undergo sharp frequency changes in three areas. The more recent network 3.1A clearly discriminates between Western and Eastern European populations. Pairwise Fst showed an overall increment with increasing geographic distance but with a slope greatly reduced when compared to previous reports. By sectioning the entire data set according to geographic and linguistic criteria, we found higher Fst-on-distance slopes within Europe than in West Asia or across the two continents.

For large numbers of marker loci in a genomic scan for disease loci, we propose a novel 2-stage approach for linkage or association analysis. The two stages are (1) selection of a subset of markers that are ‘important’ for the trait studied, and (2) modelling interactions among markers and between markers and trait. Here we focus on stage 1 and develop a selection method based on a 2-level nested bootstrap procedure. The method is applied to single nucleotide polymorphisms (SNPs) data in a cohort study of heart disease patients. Out of the 89 original SNPs the method selects 11 markers as being ‘important’. Conventional backward stepwise logistic regression on the 89 SNPs selects 7 markers, which are a subset of the 11 markers chosen by our method.

Two popular and robust approaches to analysing affected sib pair (ASP) data for linkage are the traditional excess sharing methods and the transmission/disequilibrium test (TDT). Here we derive an overall test of linkage for multi-allelic ASP marker data which comprises two component tests: one for excess sharing and one for transmission disequilibrium. This method has several advantages. Firstly the overall test of linkage is often more powerful than either of the two component tests. Secondly the method makes it possible to determine the contribution of linkage disequilibrium (LD), in addition to linkage, to an overall positive linkage result. This is useful because the presence of LD in addition to linkage may suggest that the marker locus is in very close proximity to a disease susceptibility gene. Thirdly the method provides estimates of the risk associated with transmission of the different marker alleles.

The proportions of affected sibs sharing 2, 1 or 0 identical by descent parental marker alleles have been shown to conform to the ‘triangle constraints’ (Suarez, 1978; Holmans, 1993). It has also been shown (Dudoit & Speed, 1999) that the constraints are verified provided certain assumptions hold. In this study we explore a realistic situation in which the constraints fail due to the presence of a factor in which the sibs differ, a factor on which penetrance depends. This factor may be a characteristic of the trait (severe vs. mild form), or the presence/absence of an associated trait or an environmental factor. We show that under such situations, using the triangle constraints may lead to important loss of power to detect linkage by the MLS test. We propose here an alternative approach in order to detect both linkage and heterogeneity.

For diseases that do not follow a clear Mendelian pattern of inheritance nonparametric tests applied to affected sibs have been shown to be robust to the inherent uncertainty about the precise underlying genetic model. It is known that the weights optimizing the power of tests using IBD alleles shared by affected sib pairs or triples depend on the underlying model. We show how efficiency robustness techniques, used in other areas of statistics, provide a systematic approach for constructing a robust linear combination of the statistics that are optimal for the individual members of a family of plausible genetic models. The method depends on the correlation matrix of the optimal tests as these correlations reflect how different the models are. When the minimal correlation is less than 0.5, an alternate robust procedure is proposed. The methods apply to combining data from sibships of different sizes.