Denaturing high-performance liquid chromatography in the detection of ABCA1 gene mutations in familial HDL deficiency

Mutations in the ABCA1 gene are the cause of familial high density lipoprotein deficiency (FHD). Because these mutations are spread over the entire gene, their detection requires the sequencing of all 50 exons. The aim of this study was to validate denaturing high-performance liquid chromatography (DHPLC) in mutation detection as an alternative to systematic sequencing. Exons of the ABCA1 gene were amplified using primers employed for sequencing. Temperatures for DHPLC were deducted from a software and empirically defined for each amplicon. To assess DHPLC reliability, we tested 30 sequence variants found in FHD patients and controls. Combined DHPLC and sequencing was applied to the genotyping of new FHD patients. Most of the amplicons required from two to five temperature conditions to obtain partially denatured DNA over the entire amplicon length. Twenty-nine of the variants found by sequencing were detected by DHPLC (97% sensitivity). The detection of the last variant (in exon 40) required different primers and amplification conditions. DHPLC and sequencing analysis of new FHD patients revealed that all amplicons showing a heteroduplex DHPLC profile contained sequence variants. No variants were detected in amplicons with a homoduplex profile. DHPLC is a sensitive and reliable method for the detection of ABCA1 gene mutations.     

Gene conversion rapidly generates major histocompatibility complex diversity in recently founded bird populations

Population bottlenecks can restrict variation at functional genes, reducing the ability of populations to adapt to new and changing environments. Understanding how populations generate adaptive genetic variation following bottlenecks is therefore central to evolutionary biology. Genes of the major histocompatibility complex (MHC) are ideal models for studying adaptive genetic variation due to their central role in pathogen recognition. While de novo MHC sequence variation is generated by point mutation, gene conversion can generate new haplotypes by transferring sections of DNA within and across duplicated MHC loci. However, the extent to which gene conversion generates new MHC haplotypes in wild populations is poorly understood. We developed a 454 sequencing protocol to screen MHC class I exon 3 variation across all 13 island populations of Berthelot's pipit (Anthus berthelotii). We reveal that just 11-15 MHC haplotypes were retained when the Berthelot's pipit dispersed across its island range in the North Atlantic ca. 75,000 years ago. Since then, at least 26 new haplotypes have been generated in situ across populations. We show that most of these haplotypes were generated by gene conversion across divergent lineages, and that the rate of gene conversion exceeded that of point mutation by an order of magnitude. Gene conversion resulted in significantly more changes at nucleotide sites directly involved with pathogen recognition, indicating selection for functional variants. We suggest that the creation of new variants by gene conversion is the predominant mechanism generating MHC variation in genetically depauperate populations, thus allowing them to respond to pathogenic challenges.     

Deriving haplotypes through recombination and gene conversion pathways

Retracing the trajectories of past genetic events is crucial to understand the structure of the genome, both in individuals and across populations. A haplotype describes a string of polymorphic sites along a DNA segment. Haplotype diversity is due to mutations creating new variants, and to recombinations and gene conversions that mix and redistribute these variants among individual chromosomes in populations. A number of studies have revealed a relatively simple pattern of haplotype diversity in the human genome, dominated by a few common haplotypes representing founder ancestral ones. New haplotypes are usually rare and have a limited geographic distribution. We propose a method to derive a new haplotype from a set of putative ancestral haplotypes, once mutations in place, through minimal recombination and gene conversion pathways. We describe classes of pathways that represent the whole set of minimal pathways leading to a new haplotype. We show that obtaining this set of pathways can be represented as a problem of finding "secondary structures" of minimum energy. We present a polynomial algorithm solving this folding problem.     

Semiquantitative chemiluminescent detection of UV-B-induced point mutations in the p53 tumor-suppressor gene

The technique of allele-specific PCR (AS-PCR) enables the detection of a small number of mutant alleles in a large number of wild-type (WT) alleles. We used the AS-PCR technique and Southern blotting, using a nonradioactive labeled probe to analyze the formation of point mutations in the tumor-suppressor gene p53 of primary keratinocytes after UV-B irradiation. These permanent mutations resulting from CC dimers occur at distinct "hot-spots", one of which is affected in the human keratinocyte cell line HaCaT. This enabled us to establish the method with a defined positive control template, which also allowed semiquantitative determination of the mutation frequency. This, and the determination of the detection limit, was done with the use of serial dilutions of WT genomic DNA from primary keratinocytes with mutant genomic HaCaT DNA in the AS-PCR assay.     

Y chromosome probe p49a detects complex PvuII haplotypes and many new TaqI haplotypes in southern African populations.

Y-specific 49a/TaqI haplotypes were determined for 831 individuals drawn from 21 different southern African populations. A total of 31 new haplotypes were observed, some of which contained new alleles or allelic variants. Duplication, in addition to CpG mutation, is implicated in the generation of certain allelic variants. Cluster analysis of genetic distances between the populations, calculated using the 49a/TaqI haplotype frequencies, revealed a basic split between African and non-African populations. Hybrid groups cluster with the caucasoid groups, indicating that male gene flow has occurred from the latter into the former. Clustering of the negroid and Khoisan groups is not what might have been expected from the known linguistic affinities. It is suggested that the 49a/TaqI haplotype analysis of these populations is not sufficiently sensitive to distinguish between many of the populations. The Y-specific 49a/PvuII polymorphism was studied in 127 individuals from southern African populations, and 17 polymorphic fragments ranging in size from 3.6 kb to greater than 48 kb were identified. A total of 53 PvuII haplotypes were observed, corresponding to only 30 TaqI haplotypes. There appears to be poor correlation between the two polymorphisms.     

Haplotypes at ATM identify coding-sequence variation and indicate a region of extensive linkage disequilibrium

Genetic variation in the human population may lead to functional variants of genes that contribute to risk for common chronic diseases such as cancer. In an effort to detect such possible predisposing variants, we constructed haplotypes for a candidate gene and tested their efficacy in association studies. We developed haplotypes consisting of 14 biallelic neutral-sequence variants that span 142 kb of the ATM locus. ATM is the gene responsible for the autosomal recessive disease ataxia-telangiectasia (AT). These ATM noncoding single-nucleotide polymorphisms (SNPs) were genotyped in nine CEPH families (89 individuals) and in 260 DNA samples from four different ethnic origins. Analysis of these data with an expectation-maximization algorithm revealed 22 haplotypes at this locus, with three major haplotypes having frequencies > or = .10. Tests for recombination and linkage disequilibrium (LD) show reduced recombination and extensive LD at the ATM locus, in all four ethnic groups studied. The most striking example was found in the study population of European ancestry, in which no evidence for recombination could be discerned. The potential of ATM haplotypes for detection of genetic variants through association studies was tested by analysis of 84 individuals carrying one of three ATM coding SNPs. Each coding SNP was detected by association with an ATM haplotype. We demonstrate that association studies with haplotypes for candidate genes have significant potential for the detection of genetic backgrounds that contribute to disease.     

FOXE1 gene mutation screening by multiplex PCR/DHPLC in CHARGE syndrome and syndromic and non-syndromic cleft palate

Denaturing high-performance liquid chromatography (DHPLC) has established itself as one of the most powerful tools for DNA variation screening. FOXE1, a highly GC-rich gene involved in syndromic cleft palate, is under investigation in thyroid dysgenesis, nonsyndromic cleft palate and squamous cell carcinoma. A technique for fast and simultaneous detection of sequence variants in the entire coding region of the FOXEl gene based on multiplex PCR/DHPLC is presented here. Given its characteristics of high sensitivity and rapidity, the testing strategy developed by us appears to be a reliable approach for FOXE1 analysis in the screening of a large population at risk.     

Denaturing high-performance liquid chromatography is a suitable method for PMM2 mutation screening in carbohydrate-deficient glycoprotein syndrome type IA patients

The phosphomannomutase 2 gene (PMM2; MIM 601785) has been identified as the carbohydrate-deficient glycoprotein syndrome type 1A gene (CDGS type 1A; MIM 212065). The gene spans 8 exons and 741 bp of coding DNA. Previously, we have identified 20 different mutations in the PMM2 gene using mutation screening with single-stranded conformation polymorphism (SSCP) and sequencing of DNA from 61 CDGS type 1A patients. Because eight of these could not be detected by SSCP, we were not satisfied with the sensitivity of the mutation detection technique used. Thus, we wanted to investigate if denaturing high-performance liquid chromatography (DHPLC) was a more suitable mutation screening method for PMM2. DHPLC was set up for PMM2 by optimizing eight different PCR fragments, one for each exon. The mutation detection was optimized empirically with PCR fragments from controls. First, control samples were run at a universal gradient and after modification and shortening of the gradient, also run at 10 different temperatures, 50-70 degrees C with 2-degree intervals, to enable setting of the temperature with the highest resolution. Then, PCR products with known mutations from the previous study were analyzed, and the results were compared to the control chromatograms for aberrations. We detected 19/20 mutations with DHPLC, and several mutations not detected by earlier screening techniques were readily detected by DHPLC. We conclude that DHPLC is a suitable detection technique for a rapid and reliable first scan of CDGS type 1A patients.     

Phylogeny of human beta-globin haplotypes and its implications for recent human evolution

The evolutionary histories and relationships among African, Eurasian, and Pacific Island populations are investigated by using observations on five polymorphic restriction sites in the beta-globin gene cluster. We present new data on 222 chromosomes from a global sample and combine these with previously published observations on 591 chromosomes. It is shown that the data are rich in rare haplotypes and that rare variants are not helpful for standard methods of population structure analysis. Consequently, a new approach is developed. We first consider the phylogeny of beta-globin haplotypes. The roles of mutation, gene conversion, and recombination in the generation of haplotype diversity are specifically focused upon. The relationships among human populations are then inferred from the phylogenetic relationships among the haplotypes, their presence or absence, and frequencies within populations. Questions regarding whether or not a phyletic process can account for relationships among the major geographical populations and whether or not an extant human population exhibits the qualities that would be expected of an ancestral group are addressed. The results of this analysis support an African origin for modern Homo sapiens and a phyletic structuring of the major geographical regions. However, it is shown that divergence times for the various populations cannot be determined from these data.     

Demography and the Age of Rare Variants

Large whole-genome sequencing projects have provided access to much rare variation in human populations, which is highly informative about population structure and recent demography. Here, we show how the age of rare variants can be estimated from patterns of haplotype sharing and how these ages can be related to historical relationships between populations. We investigate the distribution of the age of variants occurring exactly twice ( variants) in a worldwide sample sequenced by the 1000 Genomes Project, revealing enormous variation across populations. The median age of haplotypes carrying variants is 50 to 160 generations across populations within Europe or Asia, and 170 to 320 generations within Africa. Haplotypes shared between continents are much older with median ages for haplotypes shared between Europe and Asia ranging from 320 to 670 generations. The distribution of the ages of haplotypes is informative about their demography, revealing recent bottlenecks, ancient splits, and more modern connections between populations. We see the effect of selection in the observation that functional variants are significantly younger than nonfunctional variants of the same frequency. This approach is relatively insensitive to mutation rate and complements other nonparametric methods for demographic inference.     

Molecular haplotype determination using allele-specific PCR and pyrosequencing technology

Haplotyping of single-nucleotide polymorphisms (SNPs) is usually performed statistically by computational analysis or by time-consuming cloning techniques. Here we present a simple molecular approach for reliable haplotype determination on individual samples. The procedure is based on allele-specific PCR (AS-PCR) in combination with Pyrosequencing analysis. AS-PCR primers for each allelic variant of the investigated SNPs were used. A mismatch introduced at the second base from the 3' end dramatically improved allele specificity. Analysis of multiple SNPs on amplified fragments using Pyrosequencing technology allowed determination of haplotypes. Genotyping of heterozygote samples after AS-PCR gave a typical monoallelic pattern at each SNP, in which the identity of the present allele depended on the allele-specific initial amplification. Haplotype determination by the described procedure proved to be highly reliable. The results obtained by Pyrosequencing technology have the benefit of being truly quantitative, enabling detection of any nonspecific allele amplification.     

High-throughput SNP detection by using DNA pooling and denaturing high performance liquid chromatography (DHPLC)

One of the critical steps in the positional cloning of a complex disease gene involves association analysis between a phenotype and a set of densely spaced diallelic markers, typically single nucleotide repeats (SNPs), covering the region of interest. However, the effort and cost of detecting sufficient numbers of SNPs across relatively large physical distances represents a significant rate-limiting step. We have explored DNA pooling, in conjunction with denaturing high performance liquid chromatography (DHPLC), as a possible strategy for augmenting the efficiency, economy, and throughput of SNP detection. DHPLC is traditionally used to detect variants in polymerase chain reaction products containing both allelic forms of a polymorphism (e.g., heterozygotes or a 1:1 mix of both alleles) via heteroduplex separation and thereby requires separate analyses of multiple individual test samples. We have adapted this technology to identify variants in pooled DNA. To evaluate the utility and sensitivity of this approach, we constructed DNA pools comprised of 20 previously genotyped individuals with a frequency representation of 0%-50% for the variant allele. Mutation detection was performed by using temperature-modulated heteroduplex formation/DHPLC and dye-terminator sequencing. Using DHPLC, we could consistently detect SNPs at lower than 5% frequency, corresponding to the detection of one variant allele in a pool of 20 alleles. In contrast, fluorescent sequencing detected variants in the same pools only if the frequency of the less common allele was at least 10%. We conclude that DNA pooling of samples for DHPLC analysis is an effective way to increase throughput efficiency of SNP detection.     

Polymorphism of the HLA class II loci in Siberian populations

The populations that colonized Siberia diverged from one another in the Paleolithic and evolved in isolation until today. These populations are therefore a rich source of information about the conditions under which the initial divergence of modern humans occurred. In the present study we used the HLA system, first, to investigate the evolution of the human major histocompatibility complex (MHC) itself, and second, to reveal the relationships among Siberian populations. We determined allelic frequencies at five HLA class II loci (DRB1, DQA1, DQB1, DPA1, and DPB1) in seven Siberian populations (Ket, Evenk, Koryak, Chukchi, Nivkh, Udege, and Siberian Eskimo) by the combination of single-stranded conformational polymorphism and DNA sequencing analysis. We then used the gene frequency data to deduce the HLA class II haplotypes and their frequencies. Despite high polymorphism at four of the five loci, no new alleles could be detected. This finding is consistent with a conserved evolution of human class II MHC genes. We found a high number of HLA class II haplotypes in Siberian populations. More haplotypes have been found in Siberia than in any other population. Some of the haplotypes are shared with non-Siberian populations, but most of them are new, and some represent “forbidden” combinations of DQA1 and DQB1 alleles. We suggest that a set of “public” haplotypes was brought to Siberia with the colonizers but that most of the new haplotypes were generated in Siberia by recombination and are part of a haplotype pool that is turning over rapidly. The allelic frequencies at the DRB1 locus divide the Siberian populations into eastern and central Siberian branches; only the former shows a clear genealogical relationship to Amerinds. Received: 18 August 1997 / Accepted: 6 October 1997     

Molecular monitoring of the intestinal flora by denaturing high performance liquid chromatography

Gut flora analysis is hampered by the complexity of the intestinal microbiota and by inherent limitations of culture-based approaches. Therefore, culture-independent molecular methods based upon 16S rRNA gene analysis were applied successfully for the analysis of complex microbial communities. However, generally accepted and validated profiling methods such as denaturing and temperature gradient gel electrophoresis (DGGE/TGGE) are still laborious and time consuming. Thus, we adapted the separation of amplified bacterial 16S rRNA gene fragments by denaturing high performance liquid chromatography (DHPLC) using the WAVE Microbial Analysis System as a rapid and convenient means to display complex intestinal bacterial communities and to monitor changes in the gut flora. The separation of 16S rRNA gene fragments amplified from reference strains representing main gut bacterial populations and from human stool samples revealed that DHPLC analysis effectively detects bacterial groups predominant in the human gut flora. The investigation of faecal samples from hospitalized patients before, during and after antibiotic therapy showed that PCR-based DHPLC can be used to monitor gut flora changes. Results from DHPLC analysis were comparable with DGGE profiles generated from the same samples, demonstrating that the adapted DHPLC protocol is well suited for the analysis of complex microbial communities.     

Assessment of DHPLC usefulness in the genotyping of GSTP1 exon 5 SNP: comparison to the PCR-RFLP method

Single-nucleotide polymorphism (SNP) analysis can be performed by several methods such as PCR-RFLP, real time PCR and mass spectrometry. Denaturating High Pressure Liquid Chromatography (DHPLC) analysis allows the detection of DNA mutations in heteroduplex samples. GSTP1 exon 5 gene presents a single-nucleotide polymorphism (a to g) that results into an amino-acid substitution (Ile to Val). Ile and Val variants are identified respectively by a and b alleles. This polymorphism affects enzyme activity and is highly frequent within Caucasian populations and therefore widely studied in the context of SNP related to cancer susceptibility. Our goal was to evaluate DHPLC usefulness in detecting a well-known SNP in comparison to PCR-RFLP, in the field of molecular epidemiological studies. Fifty Caucasian people were genotyped by both methods. Heterozygous samples were identified easily at two temperatures using the DHPLC method. Discrimination between a/a and b/b homozygous genotypes was done by pooling every homozygous sample with a known a/a sample. Our genotyping using both methods resulted in the characterisation of 32 (64%) a/a homozygous, 18 (36%) a/b heterozygous and 5 (10%) b/b homozygous. All samples were also identically genotyped by the two methods. Our results show that DHPLC is a good alternative to classical PCR-RFLP method in genotyping SNPs. Advantages of this chromatographic method were no restriction site needed and a reduced technical time thanks to an automated injection. Moreover, unlike classical RFLP gel analysis, DHPLC chromatograms provided objective criteria for sample classification.     

Detecting and Characterizing Genomic Signatures of Positive Selection in Global Populations

Natural selection is a significant force that shapes the architecture of the human genome and introduces diversity across global populations. The question of whether advantageous mutations have arisen in the human genome as a result of single or multiple mutation events remains unanswered except for the fact that there exist a handful of genes such as those that confer lactase persistence, affect skin pigmentation, or cause sickle cell anemia. We have developed a long-range-haplotype method for identifying genomic signatures of positive selection to complement existing methods, such as the integrated haplotype score (iHS) or cross-population extended haplotype homozygosity (XP-EHH), for locating signals across the entire allele frequency spectrum. Our method also locates the founder haplotypes that carry the advantageous variants and infers their corresponding population frequencies. This presents an opportunity to systematically interrogate the whole human genome whether a selection signal shared across different populations is the consequence of a single mutation process followed subsequently by gene flow between populations or of convergent evolution due to the occurrence of multiple independent mutation events either at the same variant or within the same gene. The application of our method to data from 14 populations across the world revealed that positive-selection events tend to cluster in populations of the same ancestry. Comparing the founder haplotypes for events that are present across different populations revealed that convergent evolution is a rare occurrence and that the majority of shared signals stem from the same evolutionary event.     

Allele-specific PCR can improve the efficiency of experimental resolution of heterozygotes in resequencing studies

Resolution of the two haplotypes present in an individual that is heterozygous at a locus has been a difficult problem for nucleotide sequence-based population genetic studies. Here, we demonstrate a method in which allele-specific polymerase chain reaction (AS-PCR) and computational phasing are combined for relatively high-throughput, efficient resolution of phase in resequencing studies. Using data from multiple loci that were fully experimentally phased, we demonstrate that the popular computational tool PHASE can accurately phase heterozygous individuals with common SNPs (single nucleotide polymorphisms) and/or common haplotypes. However, we also demonstrate that experimental phasing with AS-PCR can efficiently supplement computational phasing, providing a rapid means to phase individuals with rare SNPs or haplotypes and with heterozygous insertion/deletion polymorphisms. By following simple stepwise procedures, AS-PCR can result in much more efficient and accurate experimental phasing of haplotypes than is possible with traditional methods such as cloning.     

Denaturing high-performance liquid chromatography detects reliably BRCA1 and BRCA2 mutations

Denaturing high-performance liquid chromatography (DHPLC) is a recently developed method of comparative sequencing based upon heteroduplex detection. To assess the reliability of this method, 180 different mutations (54 deletions, 12 insertions, and 117 single base substitutions) in BRCA1 and BRCA2 were tested. Second, 25 index individuals with complete DHPLC analysis of BRCA1 were reanalyzed by dye-terminator sequencing. Third, 41 index individuals were analyzed concomitantly by both DGGE and DHPLC. Of the 180 different BRCA1 and BRCA2 mutations, 179 showed heterozygous DHPLC elution profiles. Dye-terminator sequencing of the entire BRCA1 gene, including 5592 bp of coding sequence and 5206 bp of flanking noncoding sequence, in 25 index individuals did not reveal additional variants missed by DHPLC. The concomitant analysis of 41 index cases showed that 4 probably disease-associated mutations were identified by DHPLC while only 3 of those 4 sites were detected by denaturing gradient gel electrophoresis. We conclude that DHPLC is a sensitive and cost-effective method for the screening of BRCA1 and BRCA2.     

Denaturing HPLC-based approach for detection of COL7A1 gene mutations causing dystrophic epidermolysis bullosa

Dystrophic epidermolysis bullosa (DEB) is a rare clinically heterogeneous genodermatosis due to genetic defects in type VII collagen gene (COL7A1). Identification of COL7A1 mutations is a challenge since this gene comprises 118 exons and more than 300 mutations scattered over the gene have been reported. Here, we describe for the first time the use of denaturing high performance liquid chromatography (DHPLC) for COL7A1 mutation detection. To validate the method, exon-specific DHPLC conditions were applied to screen DNA samples from patients carrying known COL7A1 mutations. Abnormal DHPLC profiles were obtained for all known mutations. Subsequent DHPLC analysis of 17 DEB families of unknown genotype allowed the identification of 21 distinct mutations, 9 of which were novel. The DHPLC mutation detection rate was significantly higher compared with our mutation scanning rate with conventional techniques (97% vs 86%), indicating DHPLC as the method of choice for COL7A1 molecular characterization in DEB patients.