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.

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.

Human paternal population history was studied in 9 populations [three Native American, three Asian, two Caucasian and one African-derived sample(s)] using sequence and short tandem repeat haplotype diversity within the non-pseudoautosegmal region of the Y chromosome. Complete coding and additional flanking sequences (949 base pairs) of the RPS4Y locus were determined in 59 individuals from three of the populations, revealing a nucleotide diversity of 0.0147%, consistent with previous estimates from Y chromosome resequencing studies. One RPS4Y sequence variant, 711C>T, was polymorphic in Asian and Native American populations, but not in African and Caucasian population samples. The RPS4Y 711C>T variant, a second unique sequence variant at DYS287 and nine Y chromosome short tandem repeat (YSTR) loci were used to analyze the evolution of Y chromosome lineages. Three unambiguous lineages were defined in Asian, Native American and Jamaican populations using sequence variants at RPS4Y and DYS287. These lineages were independently supported by the haplotypes defined solely by YSTR alleles, demonstrating the haplotypes constructed from YSTRs can evaluate population diversity, admixture and phylogeny.

In case-control studies of complex disease genes, allele frequencies or allele positivities at candidate loci or markers are compared between cases and controls. Although 2 × 2 contingency tables based on allele frequency and allele positivity are generally used to perform simple statistical tests (e.g. a comparison of two proportions and a χ2 test), little is known about the difference in power between the two tables. In this study, we investigated the number of subjects required to obtain a power of 1 − β with a significance level of α for the allele frequency and allele positivity tables. A large difference in the required number of subjects was found between the two tables. Allele positivity tables were suitable for the detection of susceptibility alleles showing a dominant mode of inheritance (MOI). On the other hand, allele frequency tables were suitable for the identification of susceptibility alleles showing a recessive MOI or a multiplicative MOI. In the case of an additive MOI, a suitable table was determined by combining the frequency of the susceptibility allele and the penetrance. These results imply that there are cases in which true association is detected based on one contingency table and is not detected based on another. A simulation analysis revealed that the type I error rate was not much inflated under the null hypothesis of no association, even when a statistical test was performed twice using both allele frequency and allele positivity tables. In contrast, under the alternative hypothesis, the loss of power was marked when a test was performed once using an unsuitable table. In conclusion, statistical tests should be performed using both tables, without adjustment of multiplicity, in case-control studies of complex disease genes when the study objective is exploratory.

Coeliac disease (CD) is a malabsorptive disorder of the small intestine resulting from ingestion of gluten. The HLA risk factors involved in CD are well known but do not explain the whole genetic susceptibility. Several regions of potential linkage on chromosomes 3q, 5q, 10q, 11q, 15q and 19q have already been reported in the literature. These six regions were analyzed with the Maximum Lod Score method on a dense set of markers. A new sample of 89 Italian sibpairs was available for study. There was no evidence for linkage for any of the regions tested, except for chromosome 5q. For this region, our data, as well as a sample of 93 sibpairs from our first genome screen (Greco et al. 1998), are compatible with the presence of a risk factor for CD with a moderate effect.

The susceptibility to develop coeliac disease (CD) has a strong genetic component, which is not entirely explained by HLA associations. Two previous genome wide linkage studies have been performed to identify additional loci outside this region. These studies both used a sib-pair design and produced conflicting results.

Our aim is to identify non-MHC genetic loci contributing to coeliac disease using a family based linkage study. We performed a genome wide search in 16 highly informative multiply affected pedigrees using 400 microsatellite markers with an average spacing of 10 cM. Linkage analysis was performed using lod score and model free methods.

We identified two new potential susceptibility loci with lod scores of 1.9, at 10q23.1, and 16q23.3. Significant, but lower lod scores were found for 6q14 (1.2), 11p11 (1.5), and 19q13.4 (0.9), areas implicated in a previous genome wide study. Lod scores of 0.9 were obtained for both D7S507, which lies 1 cM from the γT-cell receptor gene, and for D2S364, which lies 12 cM from the CTLA4 gene.

The current challenge in biomedical research is to detect genetic risk factors involved in common complex diseases. The power to detect their role is generally poor in populations that have been large for a long time. It has been suggested that the power may be increased by taking advantage of the specificity of founder populations; linkage disequilibrium spanning larger regions and kinship coefficients being stronger than in large populations. A new method is proposed here, the Maximum Identity Length Contrast (MILC) which, in contrast with other existing methods, does not make the assumption of unique ancestry for the genetic risk factors. It is thus appropriate for a search for common genetic risk factors for complex diseases. Statistical properties of the method are discussed in realistic contexts.

Malignant hyperthermia (MH) is a potentially lethal disorder triggered in susceptible individuals on exposure to common anaesthetic agents. Crises reflect the consequences of disturbed skeletal muscle calcium homeostasis. MH is an autosomal dominant, genetically heterogeneous trait. Defects in a single major gene have been assumed to determine susceptibility status in individual families. However, in some pedigrees phenotypic and genotypic data are discordant. One explanation, in contrast to the current genetic model, is that susceptibility is dependent upon the effects of more than one gene. Using the transmission disequilibrium test we assessed the involvement of 8 MH candidate loci (RYR1, CACNA1S, CACNA2D1, MHS4 at 3q13.1, MHS6 at 5p, LIPE, DM1, dystrophin) by analysis of data from 130 MH nuclear families. Results suggested that variations in more than one gene may influence MH susceptibility in single families.

Forty four families from Guinea–Conakry were analysed to test for association between NRAMP1 (Natural Resistance Associated Macrophage Protein 1) polymorphisms and tuberculosis. Each family included at least one affected sib and one parent. Healthy sibs were also analysed and on average the families included four members. A total of 160 individuals were included in the final dataset. The analysis of association was performed using an extended TDT test, TRANSMIT, to allow for missing information in the parental genotypes. Three polymorphisms in the NRAMP1 gene were typed: a microsatellite (CA) repeat, a 4 bp deletion in the 3′ untranslated region and a single nucleotide change in intron 4. The single base change in intron 4 was significantly associated (p = 0.036) with tuberculosis. Our results therefore confirm, using a family-based approach on a newly studied population, the previously reported association between this polymorphism and tuberculosis in a population-based study of West Africans.

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.

The transmission disequilibrium test (TDT), designed as a test of linkage in the presence of association (i.e. linkage disequilibrium), has received considerable attention in the recent statistical genetics literature due to its advantages over other within-family analytic methods. One limitation of the conventional TDT is its application solely to linkage disequilibrium between a genetic marker and a single categorical trait (e.g. presence or absence of a disease). In this paper, we present an extension of the TDT using logistic regression to examine the relation between a candidate gene or genetic marker and one or more continuous or categorical explanatory variables. This logistic regression extension of the TDT possesses all of the desirable features of the conventional TDT, as well as many advantages associated with traditional regression analysis. We describe the model and its properties, as well as a number of its possible applications, and apply it to examine linkage disequilibrium between the dopamine receptor D2 gene (DRD2) and symptoms of childhood attention deficit hyperactivity disorder (ADHD). We also briefly compare the logistic regression TDT to other quantitative TDTs that have been proposed in the literature, and highlight the advantages of a regression-based approach for examining the relation between a candidate gene and one or more continuous or categorical traits. Given its features, we regard the logistic regression extension of the TDT as a flexible new data analytic method with extensive potential applications to problems in medical, psychiatric, and behavioral genetics.

Linkage and association studies in complex diseases are used to identify and fine map disease loci. The process of identifying the aetiological polymorphism, the molecular variant responsible for the linkage and association of the chromosome region with disease, is complicated by the low penetrance of the disease variant, the linkage disequilibrium between physically-linked polymorphic markers flanking the disease variant, and the possibility that more than one polymorphism in the most associated region is aetiological. It is important to be able to detect additional disease determinants in a region containing a cluster of genes, such as the major histocompatibility complex (MHC) region on chromosome 6p21. Some methods have been developed for detection of additional variants, such as the Haplotype Method, Marker Association Segregation Chi-squares (MASC) Method, and the Homozygous Parent Test. Here, the Extended Transmission/Disequilibrium Test is adapted to test for association conditional on a previously associated locus. This test is referred to as the Conditional Extended TDT (CETDT). We discuss the advantages of the CETDT compared to existing methods and, using simulated data, investigate the effect of polymorphism, inheritance, and linkage disequilibrium on the CETDT.

The genetic basis of many human diseases, especially those with substantial genetic determinants, has been identified. Notable amongst others are cystic fibrosis, Huntington's disease and some forms of cancer. However, the detection of genetic factors with more modest effects such as in bipolar disorders and a majority of the cancers, has been more complicated. Standard linkage analysis procedures may not only have little power to detect such genes but they do, at best, only narrow the location of the disease susceptibility gene to a rather large region. Association studies are therefore necessary to further unveil the aetiological relevance of these factors to disease. However, the number of tests required if such procedures were used in extended genome-wide screens, is prohibitive and as such association studies have seen limited application, except in the investigation of candidate genes. In this paper, we discuss a logistic regression approach as a generalization of this procedure so that it can accommodate clusters of linked markers or candidate genes. Furthermore, we introduce an expectation maximization (E–M) algorithm with which to estimate haplotype frequencies for multiple locus systems with incomplete information on phase.

In order to investigate the origin of the Eastern Slavs, mitochondrial DNA (mtDNA) sequence variation was examined in Russians and Ukrainians by hypervariable segment I (HVS I) sequencing and restriction analysis of the haplogroup-specific sites. No significant differences were found for Russians and Ukrainians when compared to other Europeans – in fact, they fall within the range of gene diversity seen throughout Europe and exhibit the unimodal pattern of pairwise sequence differences. Moreover, HVS I sequences in the Russians and Ukrainians are similar or identical to those found in eastern and western European populations. Despite the small genetic distances between Europeans, phylogenetic analysis reveals a considerable heterogeneity of Eastern Slavonic populations – they do not cluster together onto a phylogenetic tree. Analysis of distribution of rare HVS I types shared between populations of Eastern Slavs and other West Eurasians has shown that Russians share rare haplotypes mainly with Germans and Finno–Ugric populations. Of these, subhaplogroup H1 sequence types, which are defined by different combinations of nucleotides 16192T, 16294T, 16304C, 16311C and 16320T, are found predominantly in common between Russians and German-speaking populations. The data obtained allow us to conclude that the Slavonic migrations in early Middle Ages from their putative homeland in central Europe to the east of Europe were accompanied mostly by the same mtDNA types characteristic for the pre-Slavonic populations of eastern Europe.

The analysis of seven different age cohorts (697 individuals from 10 to 109 years old) revealed age-related changes in the 3′APOB-VNTR genotype pool. By recoding the 3′APOB-VNTR alleles into three size-classes (small, S, 26–34 repeats; medium, M, 35–39 repeats; large, L, 41–55 repeats), an age-related convex trajectory of the frequency of SS homozygotes was found. The frequency of SS in the genotype pool increased from the group aged 10–19 years (3.06±1.74%) to that aged 40–49 years (8.51±4.07%). Then it declined reaching the minimum value in centenarians (1.58±0.90%). The observed trajectory is in agreement with that expected by assuming crossing of mortality curves relevant to subgroups of individuals having different genotypes.

We have refined polymerase chain reaction (PCR) assays for the detection of sickle cell anaemia, the delta F 508 deletion causing cystic fibrosis, and the IVS1–110 mutation leading to beta-thalassaemia, allowing them to be successfully performed upon single cells using fluorescent primers. We have also assessed the possibility of detecting aneuploidies of chromosomes 13, 18 and 21 using a quantitative fluorescent polymerase chain reaction (QF-PCR) with primers flanking polymorphic short tandem repeat (STR) markers. Trisomies were readily diagnosed by the detection of tri-allelic patterns. However some heterozygote normal and trisomic diallelic patterns did not produce the expected ratios of amplified PCR products due to preferential DNA sequence amplification. Total allelic drop out (ADO) did not occur with any of the cells tested. Multiplex QF-PCR assays can be performed on a single cell in under 6 h and simultaneously provide diagnosis of single gene defects, sex determination and an indication of selected chromosome aneuploidy.

In order to study the matrilineal genetic composition in Cabo Verde (Republic of Cape Verde), an archipelago that used to serve as a Portuguese entrepôt of the Atlantic slave trade, we have analysed a total of 292 mtDNAs sampled from the seven inhabitated islands for the hypervariable segment I (HVS-I) and some characteristic RFLPs of the coding regions. The different settlement history of the northwestern group of the islands is well reflected in the mtDNA pool. The total Cabo Verde sample clearly displays the characteristic mitochondrial features of the Atlantic fringe of western Africa and testifies to almost no mitochondrial input from the Portuguese colonizers.

The caudal-type homeobox gene Cdx2 encodes a transcription factor which is expressed in the intestine and is thought to play an important role in the proliferation and differentiation of intestinal epithelial cells. Mice heterozygous for null mutations in the caudal-type homeobox gene Cdx2 show multiple adenomatous polyps in the proximal colon in addition to skeletal problems associated with abnormal segmentation. In human colorectal cancer the expression of both CDX2 and carbonic anhydrase 1, a gene regulated by CDX2, is reduced or absent. It is possible that mutation of CDX2 is a primary event in the origin of some colorectal cancers. We have cloned human CDX2 cDNA and report here the nucleotide and protein sequences and assignment of the human gene to chromosome 13q12–13.

A genetic polymorphism is responsible for determining that some humans express lactase at high levels throughout their lives and are thus lactose tolerant, while others lose lactase expression during childhood and are lactose intolerant. We have previously shown that this polymorphism is controlled by an element or elements which act in cis to the lactase gene. We have also reported that 7 polymorphisms in the lactase gene are highly associated and lead to only 3 common haplotypes (A, B and C) in individuals of European extraction. Here we report the frequencies of these polymorphisms in Caucasians from north and south Europe and also from the Indian sub-continent, and show that the alleles differ in frequency, the B and C haplotypes being much more common in southern Europe and India. Allelic association studies with lactase persistence and non-persistence phenotypes show suggestive evidence of association of lactase persistence with certain alleles. This association was rather more clear in the analysis of small families, where haplotypes could be determined. Furthermore haplotype and RNA transcript analysis of 11 unrelated lactase persistent individuals shows that the persistence (highly expressed) allele is almost always on the A haplotype background. Non-persistence is found on a variety of haplotypes including A. Thus it appears that lactase persistence arose more recently than the DNA marker polymorphisms used here to define the main Caucasian haplotypes, possibly as a single mutation on the A haplotype background. The high frequency of the A haplotype in northern Europeans is consistent with the high frequency of lactase persistence.

In this study we report the cloning of four human OCT1 (hOCT1/SLC22A1) isoforms: a long form, hOCT1G/L554, and three shorter forms (hOCT1G/L506, hOCT1G483 and hOCT1G353). All four variants could be identified in the human glioma cell line SK-MG-1, whereas only two isoforms (hOCT1G/L554 and hOCT1G/L506) were found in human liver cDNA. The hOCT1G/L554 represents the full length hOCT1 since the sequence of this clone is more than 99% identical to previously cloned hOCT1 cDNAs. Elucidation of the gene structure of human OCT1 demonstrated that the other isolated isoforms are alternatively spliced variants. The hOCT1 gene consists of 7 exons and 6 introns. When stably expressed in human embryonic kidney (HEK293) cells, only the full length hOCT1 cDNA mediated decynium-22 (D22)-sensitive uptake of tritiated 1-methyl-4-phenylpyridinium ([3H]-MPP+).