High-resolution Melting Genotyping Research Articles

Genetic variation of the 5-HT1A rs6295, 5-HT2A rs6311, and CNR1 rs1049353 and an altered endocannabinoid system in depressed patients.

The reasons for developing depression are not fully understood. However, it is known that the serotonergic system plays a role in the etiology, but the endocannabinoid system receives attention. In this study, 161 patients with a depressive disorder and 161 healthy participants were examined for the distribution of the CNR1 rs4940353, 5-HT2A rs6311, and 5-HT1A rs6295 by high-resolution melting genotyping. The concentration of arachidonoyl ethanolamide (AEA) and 2-arachidonoylglycerol (2-AG) in the blood was measured by liquid chromatography-tandem mass spectrometry. Additionally, depression and anxiety symptoms were evaluated based on self-questionnaires. Fifty-nine patients participated in a second appointment to measure the concentration of AEA, 2-AG, and symptoms of depression and anxiety. We observed higher AEA and decreased 2-AG concentrations in patients with depression compared to healthy participants. During the treatment, the concentrations of AEA and 2-AG did not change significantly. In patients higher symptoms of anxiety correlated with lower concentrations of 2-AG. Gender differences were found concerning increased 2-AG concentration in male patients and increased anxiety symptoms in female patients. Genotypic variations of 5-HT1A rs6295 and 5-HT2A rs6311 are associated with altered serotonergic activity and serotonin content in patients. In conclusion, it seems that the endocannabinoid system, especially the endocannabinoids 2-AG and AEA, and genetic variations of the 5-HT1A and 5-HT2A could play a role in patients with depression and may be involved in a depressive disorder.

Development of a Gene-Based High Resolution Melting (HRM) Marker for Selecting the Gene ty-5 Conferring Resistance to Tomato Yellow Leaf Curl Virus

Tomato yellow leaf curl virus (TYLCV) causes serious yield reductions in China. The use of certain resistance genes in tomato varieties has alleviated the impact of the virus to a certain extent. Recently, varieties with the Ty-1, Ty-2, or Ty-3 genes lost their resistance to TYLCV in some areas in China. New genes should be introduced into tomato to maintain the resistance to TYLCV. Tomato line AVTO1227 has excellent resistance to disease due to the resistance gene ty-5. In this study, we screened different types of markers in a tomato F2 population to compare their accuracy and efficiency. The sequencing analysis results were consistent with the high resolution melting (HRM) marker genotype and field identification results. The result confirmed that the functional marker of ty-5 was accurate and reliable. The single nucleotide polymorphism-based HRM genotyping method established in this study can be used for the selection of breeding parent material, gene correlation analysis, and molecular marker-assisted breeding.

Rapid high-resolution melting genotyping scheme for Escherichia coli based on MLST derived single nucleotide polymorphisms

Routinely used typing methods including MLST, rep-PCR and whole genome sequencing (WGS) are time-consuming, costly, and often low throughput. Here, we describe a novel mini-MLST scheme for Eschericha coli as an alternative method for rapid genotyping. Using the proposed mini-MLST scheme, 10,946 existing STs were converted into 1,038 Melting Types (MelTs). To validate the new mini-MLST scheme, in silico analysis was performed on 73,704 strains retrieved from EnteroBase resulting in discriminatory power D = 0.9465 (CI 95% 0.9726–0.9736) for mini-MLST and D = 0.9731 (CI 95% 0.9726–0.9736) for MLST. Moreover, validation on clinical isolates was conducted with a significant concordance between MLST, rep-PCR and WGS. To conclude, the great portability, efficient processing, cost-effectiveness, and high throughput of mini-MLST represents immense benefits, even when accompanied with a slightly lower discriminatory power than other typing methods. This study proved mini-MLST is an ideal method to screen and subgroup large sets of isolates and/or quick strain typing during outbreaks. In addition, our results clearly showed its suitability for prospective surveillance monitoring of emergent and high-risk E. coli clones’.

Disease Resistant Citrus Breeding Using Newly Developed High Resolution Melting and CAPS Protocols for Alternaria Brown Spot Marker Assisted Selection

Alternaria alternata is a fungus that causes a serious disease in susceptible genotypes of citrus, particularly in mandarins. The Alternaria citri toxin (ACT) produced by the pathogen induces necrotic lesions on young leaves and fruits, defoliation and fruit drop. Here, we describe two methods of marker-assisted selection (MAS) that could be used for the early identification of Alternaria brown spot (ABS)-resistant mandarin hybrids. The first method is based on a nested PCR coupled to high resolution melting (HRM) analysis at the SNP08 locus, which is located at 0.4 cM from the ABS resistance locus, and was previously indicated as the most suitable for the selection of ABS-resistant hybrids. The method was validated on 41 mandarin hybrids of the CREA germplasm collection, and on 862 progenies generated from five crosses involving different susceptible parents. Four out of five populations showed Mendelian segregation at the analyzed locus, while a population involving Murcott tangor as male parent showed distorted segregation toward the susceptible hybrids. The second method is based on a cleaved amplified polymorphic sequences (CAPS) marker that was developed using the same primers as the nested PCR at the SNP08 locus, coupled with BccI restriction enzyme digestion. To verify the reliability of the two genotyping methods, in vitro leaf phenotyping was carried out by inoculating A. alternata spores onto young leaves of 101 hybrids, randomly chosen among the susceptible and resistant progenies. The phenotyping confirmed the SNP08 genotyping results, so the proposed method of selection based on HRM or CAPS genotyping could be routinely used as an alternative to KBioscience competitive allele specific polymerase chain reaction (KASPar) single nucleotide polymorphism (SNP) genotyping system to improve citrus breeding programs. While the study confirmed that the SNP08 marker is a reliable tool for MAS of new citrus hybrids with different genetic backgrounds, it also identified a small group of genotypes where the resistance mechanism requires further investigation.

High Resolution Melting (HRM) Genotyping in the Genus Origanum: Molecular Identification and Discrimination for Authentication Purposes.

Origanum L. (Lamiaceae) is an important genus of medicinal and aromatic plants used since ancient times as culinary herbs and remedies in traditional medicine. Although it is a relatively small genus, intra-generic species delineation, as well as its inter-generic relationships within tribe Mentheae, are still poorly understood. High resolution melting (HRM) analysis, coupled with microsatellite markers (SSRs), could facilitate the molecular identification and characterization of certain genotypes more efficiently and relatively faster when compared to other analytical methods. In this study, 38 Origanum samples corresponding to six Origanum taxa (O. dictamnus, O. majorana, O. onites, O. scabrum, O. sipyleum, and O. vulgare subsp. hirtum) were analyzed, using six microsatellite loci. Our goal was to molecularly identify and discriminate among the selected samples and to evaluate the ability of the HRM technique as an analytical tool for the discrimination of Origanum species from Greece. The temperature-shifted melting curves produced by the HRM analysis, resulted in 98 unique HRM profiles, which enabled the discrimination of the Origanum genotypes studied. According to the similarity dendrogram based on the HRM profiles, six unique clusters were formed, each one corresponding to a single taxon. In conclusion, HRM genotyping provided a fast, cost-effective method, well suited for the molecular characterization and identification of Origanum taxa and for the authentication of the original genetic material.

Neonatal Buccal Cell Collection: A Non-Invasive Strategy to Provide A Reliable Source of DNA for High Resolution Melting Analysis

Background: The low yield and quality of buccal-derived genomic DNA have reduced its applicability in various genetic research. The aim of this study was to assess the quantity, purity and genotyping efficiency of genomic DNA isolated from neonatal buccal swabs. Methods: Paired buccal swabs and whole blood samples were collected from 60 neonates with the mean age 5 days (SD=1.57). The genomic DNA quantity and purity were measured by using Infinite® 200 PRO NanoQuant reader and agarose gel electrophoresis. High-resolution melting (HRM) analysis was used to analyse the sequence variants present in uridine diphosphate glucuronosyltransferase 1A1 (UGT1A1 c.211G>A) and nuclear receptor subfamily 1, group I, member 3 (NR1I3 IVS8+116T>G) genes. Results: Buccal swabs provided lower mean genomic DNA concentration (18.78 ± 8.39 ng/µl versus 40.02 ± 13.03 ng/µl), yield (2.63 ± 1.17 µg versus 8.00 ± 2.61 µg). The purity of buccal samples however were inconsistent with 16 samples (26.7%) having A260/280 ratios below 1.8 which indicated protein contamination. Genomic DNA purity for all blood samples were within the ideal range with average absorbance ratios of 1.8−2.0. However, all buccal genomic DNA demonstrated 100% genotype call rates for all variants. A complete genotype concordance was also observed between paired genomic DNA samples. Conclusion: Despite related to a reduced quantity and purity, neonatal buccal genomic DNA could generate reliable HRM genotyping results. Therefore, buccal swab collection is a promising alternative to the invasive blood sampling to provide genomic DNA for genetic analysis involving paediatric population.

Differential expression and characterization of ATP1A1 exon17 gene by high resolution melting analysis and RT-PCR in Indian goats.

The investigation was carried out to analyse the genetic polymorphism and gene expression of ATP1A1 gene in four different Indian goat breeds by using high resolution melting (HRM) and real time-PCR. ATPase is electro-genic ion pump which is maintains the balance of sodium and potassium ions in animal cells. The transport of Na+& K+ is variable at cellular level during extreme hot period. Therefore, susceptible and tolerant animals were selected based on the physiological responses during hot period. Blood samples were collected from individuals, DNA was isolated. The 300bp fragment of ATP1A1 gene was amplified by PCR and HRM genotyping was performed. The melting curves were analysed, differential temperature-shift plot showed three different genotypes in all the analysed samples. Out of the 135 samples, the distribution percentages were 55.56% (AA/blue), 33.33% (AC/red) and 11.11% (CC/green). The sequence variation revealed a SNP at 143rd position (A>C). The nucleotide diversity was 0.695 ± 0.403, 0.732 ± 0.424, 0.662 ± 0.433 and 0.687 ± 0.398 in Barbari, Jamunapari, Jakharna and Sirohi, respectively. The respiration rate (RR) was significantly different (P < 0.05) between AA and AC (t = 1.875, df = 38) genotype and heart rate (HR) was significantly different (P < 0.05) between AA and CC genotype. The relative expression pattern of ATP1A1 in SNP variants and non-variants animal tissues showed 19.09 and 6.93 fold higher than control (non-variant), respectively. Jamunapari showed higher fold value of ATP1A1 gene in comparison to Barbari, Jakharna and Sirohi. However, the heat stress-susceptible phenotype had significantly higher gene expression than stress-tolerant in all the breeds. The variation may be used as a marker for selection on the basis of physiological parameters and expression of ATP1A1 gene in goats indicating the specificity of expression in each tissue.

Pyrethroid resistance in the pest mite, Halotydeus destructor: Dominance patterns and a new method for resistance screening

An L1024F substitution in the para gene, which encodes a subunit of the voltage-gated sodium channel, has been implicated in pyrethroid resistance in a mite pest, Halotydeus destructor, which attacks rape and other grain crops. A high-resolution melt (HRM) genotyping assay was developed for testing the relative pyrethroid susceptibility of different para genotypes and for high-throughput field screening of resistant alleles. The L1024F mutation was found to be incompletely recessive in phenotypic laboratory bioassays with the pyrethroid pesticide, bifenthrin. While the resistance ratio of heterozygotes (RS) to susceptible homozygotes (SS) was <6 in 24 h bioassays, the resistant homozygotes (RR) (with a resistance ratio > 200,000) survived the recommended field rate of bifenthrin (100 mgL−1). HRM genotyping of mites from field populations across Australia indicated the presence of resistant alleles in Western Australia and South Australia, but not in Victoria and New South Wales. The assay developed will be useful for routine screening of pyrethroid resistance, and the dominance relationships established here point to useful resistance management strategies involving the maintenance of reservoirs of susceptible mites to dilute resistant homozygotes in a population.

Development of High-Throughput SNP Genotyping Assays for Rapid Detection of Strawberry Colletotrichum Species and the G143A Mutation.

Colletotrichum spp. cause major diseases of strawberry and disease management depends on the species present. However, species identification based on symptoms and spore morphology is difficult. Therefore, development of molecular techniques for trustworthy and high-throughput identification of Colletotrichum spp. is vital for the accurate diagnosis. A high-resolution melting (HRM) assay was developed for simultaneous identification and differentiation of Colletotrichum spp. from fungal colonies or from symptomatic strawberry tissue. HRM markers were designed based on the internal transcribed spacer region of Colletotrichum acutatum and C. gloeosporioides from strawberry, and accurately identified and differentiated the two species. In addition, for the rapid detection of a single-nucleotide polymorphism (SNP) in the cytochrome b (cytb) gene of C. acutatum and C. gloeosporioides associated with resistance to quinone-outside inhibitor fungicides, an endpoint SNP genotyping analysis was developed. The HRM and endpoint SNP genotyping assays are useful methods that can be implemented in plant diagnostic clinics for the rapid and accurate identification of Colletotrichum spp. and detection of the G143A mutation in the cytb gene of C. acutatum and C. gloeosporioides.

Validation of high-resolution melting analysis as a diagnostic tool for endothelin receptor B mutation in American Paint horses and allele frequency estimation

Overo lethal white foal syndrome (OLWFS) is a genetic disorder caused by a dinucleotide mutation in the endothelin receptor type B (EDNRB) gene leading to the death of affected foals shortly after birth. The use of rapid and reliable genetic testing is imperative for the early diagnosis of the mutation avoiding, therefore, either additional suffering or the production of affected animals. In the present study, we developed and validated a high-resolution melting (HRM) genotyping assay to detect the OLWFS causative mutation, and we also determined the frequency of heterozygotes among American Paint horses in Brazil. The HRM genotyping assay resulted in a high sensitivity, specificity, and positive and negative predictive values. The overall estimated frequency of heterozygotes was 21.6%; however, this frequency increased to 89.5% when considering only overo horses. The HRM assay optimized here was a reliable and suitable method for the detection of the dinucleotide mutation observed in the EDNRB gene resulting in a fast, accurate, and precise diagnostic tool. The causative gene mutation of OLWFS is present in heterozygosity in the American Paint Horse population in Brazil and is highly frequent among overo horses.

Genotype confidence percentage of SSR HRM profiles as a measure of genetic similarity in Rosmarinus officinalis

Rosemary (Rosmarinus officinalis L.) is a highly allogamous plant with few genomic resources available. Among these, a discrete set of nuclear and cytoplasmic microsatellite markers is counted. High resolution melting (HRM) is a closed-tube technique widely used for sequence polymorphism detection. Until now, HRM data analysis in plants has been conducted reporting melting profiles to known allelic assets. Even for preliminary studies on general genetic diversity, laborious workflows have been proposed for HRM genotyping of microsatellite's indels as well as of SNPs. Genotype confidence percentage (GCP) of HRM curves is the most commonly used statistical transformation of Euclidean distance between HRM curves to determine whether two curves are identical or not. In the present study we tested an analysis workflow that implies the use of GCPs of HRM profiles as a direct measure of the genetic similarities on SSR loci, bypassing therefore genotyping. The comparison between capillary electrophoresis and HRM-GCPs data demonstrates the efficiency of this new technique in detecting genetic differences between rosemary populations. This method can be used for determining overall genomic similarity in phylogenetic and ecological studies. It is cost and time effective, suitable to complete automation and can be used in other allogamous plants as well.

High Resolution Melting (HRM) for High-Throughput Genotyping-Limitations and Caveats in Practical Case Studies.

High resolution melting (HRM) is a convenient method for gene scanning as well as genotyping of individual and multiple single nucleotide polymorphisms (SNPs). This rapid, simple, closed-tube, homogenous, and cost-efficient approach has the capacity for high specificity and sensitivity, while allowing easy transition to high-throughput scale. In this paper, we provide examples from our laboratory practice of some problematic issues which can affect the performance and data analysis of HRM results, especially with regard to reference curve-based targeted genotyping. We present those examples in order of the typical experimental workflow, and discuss the crucial significance of the respective experimental errors and limitations for the quality and analysis of results. The experimental details which have a decisive impact on correct execution of a HRM genotyping experiment include type and quality of DNA source material, reproducibility of isolation method and template DNA preparation, primer and amplicon design, automation-derived preparation and pipetting inconsistencies, as well as physical limitations in melting curve distinction for alternative variants and careful selection of samples for validation by sequencing. We provide a case-by-case analysis and discussion of actual problems we encountered and solutions that should be taken into account by researchers newly attempting HRM genotyping, especially in a high-throughput setup.

A NLRC3-like gene from blunt snout bream (Megalobrama amblycephala): Molecular characterization, expression and association with resistance to Aeromonas hydrophila infection

NLRC (the nucleotide-oligomerization domain (NOD)-like receptor subfamily C) consists of teleost-specific NLRs (NOD-like receptors) and plays pivotal roles in microbial recognition and regulation of innate immune response. In this study, we cloned and characterized a NLRC3-like gene (MamNLRC3-like) from blunt snout bream (Megalobrama amblycephala) by using the quantitative real-time PCR method, and analyzed the correlation between its polymorphisms and resistance to Aeromonas hydrophila infection. The full length cDNA of MamNLRC3-like was 2863 bp, with a 5′-UTR of 169 bp, ORF of 2301 bp and 3′-UTR of 393 bp, encoding 766 amino acid residues. MamNLRC3-like consisted of a conserved NACHT domain, a fish-specific NACHT associated domain (FISNA) and a PYRIN effective domain. During early developmental stages, MamNLRC3-like was most highly expressed at 39.4 hpf (hours post fertilization, hatching stage) and constitutively detected in various healthy tissues. The expression of MamNLRC3-like was strongly induced by A. hydrophila infection and peaked in the head kidney, liver, intestine, and trunk kidney at 12 h post infection. Six SNPs (single nucleotide polymorphisms) from MamNLRC3-like, with 2 in introns and 4 in exons, were identified by direct sequencing, in which 6515C/T was a novel non-synonymous mutation. HRM (high resolution melting) genotyping of the 6 loci showed that locus 6515C/T SNP was associated with the resistance/susceptibility of blunt snout bream to A. hydrophila infection (P < 0.01). The CC genotype fish were more resistant than CT carriers (P < 0.01). This study suggests that the MamNLRC3-like gene might play an important role in the innate immunity of blunt snout bream and could be used as a candidate marker for genetic selection of A. hydrophila-resistant blunt snout bream.

Fine mapping of the temperature-sensitive semi-dwarf (Tssd) locus regulating the internode length in peach (Prunus persica)

As a key component of tree architecture, plant height is an important agronomic trait in fruit trees. Reducing tree height is beneficial for increasing planting density, allowing higher yields, lowering costs and increasing the orchard’s lifespan. However, the genetic and molecular factors that regulate peach height are unknown. Here, we report a semi-dwarf peach mutant, which exhibits extremely shortened internodes at temperature below 30 °C. Genetic analysis indicated that this trait was controlled by a single dominant gene that we have named as temperature-sensitive semi-dwarf (Tssd). To map the Tssd locus, two DNA pools, each consisting of 50 mutant or wild-type siblings, were subjected to specific length amplified fragment sequencing. SLAF analysis followed by marker validation using Sanger sequencing and high-resolution melting genotyping located the Tssd gene in a region spanning approximately 750 kb between 2.35 and 3.10 Mb in scaffold 3 based on the reference peach genome sequence of ‘Lovell.’ Further SNPs were developed for fine mapping the locus, which spans an interval of 500 Kb and contains 69 predicted protein-coding gene models. The SNP markers flanking this interval can be applied in molecular identification of Tssd individuals. The result will provide information on how temperature regulates internode length in temperate fruit trees.

Nested Machine Learning Facilitates Increased Sequence Content for Large-Scale Automated High Resolution Melt Genotyping.

High Resolution Melt (HRM) is a versatile and rapid post-PCR DNA analysis technique primarily used to differentiate sequence variants among only a few short amplicons. We recently developed a one-vs-one support vector machine algorithm (OVO SVM) that enables the use of HRM for identifying numerous short amplicon sequences automatically and reliably. Herein, we set out to maximize the discriminating power of HRM + SVM for a single genetic locus by testing longer amplicons harboring significantly more sequence information. Using universal primers that amplify the hypervariable bacterial 16 S rRNA gene as a model system, we found that long amplicons yield more complex HRM curve shapes. We developed a novel nested OVO SVM approach to take advantage of this feature and achieved 100% accuracy in the identification of 37 clinically relevant bacteria in Leave-One-Out-Cross-Validation. A subset of organisms were independently tested. Those from pure culture were identified with high accuracy, while those tested directly from clinical blood bottles displayed more technical variability and reduced accuracy. Our findings demonstrate that long sequences can be accurately and automatically profiled by HRM with a novel nested SVM approach and suggest that clinical sample testing is feasible with further optimization.

Development of genome-wide InDel markers and their integration with SSR, DArT and SNP markers in single barley map.

BackgroundDevelopment of molecular markers such as SSR (simple sequence repeat), DArT (diversity arrays technology) and SNP (single nucleotide polymorphism) is fundamental for linkage map construction and QTL mapping. However, DArT and SNP genotyping require special tools, and detection of SSR polymorphisms requires time-consuming polyacrylamide electrophoresis. Furthermore, many markers have been mapped in different populations such that their genetic positions are inconsistent. Recently, InDel (insertion and deletion) markers have become popular in genetic map construction and map-based cloning.ResultsAligning genomic DNA sequences in two barley cultivars (Morex and Barke) identified 436,640 InDels. We designed 1140 InDel markers across the barley genome with an average genetic distance of 1 cM, each having a unique location in the barley genome. High-resolution melting (HRM) technology was used to genotype 55 InDel markers; those PCR amplicons with melting temperature differences >0.3 °C were ideal for HRM genotyping. The 1140 InDel markers together with 383 SSRs, 3909 gene-based SNPs and 1544 DArT markers were integrated into single barley genetic map according to their physical map positions.ConclusionsHigh-density InDel markers with specific genome locations were developed, with 6976 molecular markers (SSRs, DArTs, SNPs and InDels) integrated into single barley genetic map. HRM genotyping of the InDel markers each with single PCR band will facilitate quick map construction and gene fine-mapping.Electronic supplementary materialThe online version of this article (doi:10.1186/s12864-015-2027-x) contains supplementary material, which is available to authorized users.

High-resolution melting assay for genotyping of IFNL4-associated dinucleotide variant rs368234815

Interferon-λ4-related dinucleotide variant rs368234815 TT/-G is strongly linked with rs12979860 polymorphism, the most important genetic marker connected to treatment-induced hepatitis C virus clearance. Due to additional baseline information that rs368234815 polymorphism could provide for the management of chronic hepatitis C, we developed and validated a high-resolution melting genotyping assay using 193 patients with chronic hepatitis C.

Trainable high resolution melt curve machine learning classifier for large-scale reliable genotyping of sequence variants.

High resolution melt (HRM) is gaining considerable popularity as a simple and robust method for genotyping sequence variants. However, accurate genotyping of an unknown sample for which a large number of possible variants may exist will require an automated HRM curve identification method capable of comparing unknowns against a large cohort of known sequence variants. Herein, we describe a new method for automated HRM curve classification based on machine learning methods and learned tolerance for reaction condition deviations. We tested this method in silico through multiple cross-validations using curves generated from 9 different simulated experimental conditions to classify 92 known serotypes of Streptococcus pneumoniae and demonstrated over 99% accuracy with 8 training curves per serotype. In vitro verification of the algorithm was tested using sequence variants of a cancer-related gene and demonstrated 100% accuracy with 3 training curves per sequence variant. The machine learning algorithm enabled reliable, scalable, and automated HRM genotyping analysis with broad potential clinical and epidemiological applications.

High-resolution melting analysis: a promising molecular method for meat traceability

To find a promising molecular method for meat traceability, three methods of single nucleotide polymorphism (SNP) detection: RFLP-PCR analysis, high-resolution melting (HRM) analysis, and TaqMan probe analysis, have been compared in terms of accuracy, ease of use, throughput capability, and cost. We genotyped ten pork DNA samples across three SNPs. The results showed that the HRM genotyping method was the most accurate and easiest to use with the lowest cost, while TaqMan probe analysis provided similar results, but its cost was much higher.

Development of a high-resolution melting genotyping assay for the angiotensin I converting enzyme insertion/deletion polymorphism and establishment of genotype-specific reference intervals in a Danish population

The serum-angiotensin I converting enzyme (s-ACE) activity is influenced by a genetic insertion/deletion (I/D) polymorphism in the ACE gene, and the resulting large interindividual variation in s-ACE limits the use of normal reference intervals in the evaluation of sarcoidosis. In this study, we developed a new method for genotyping the I/D polymorphism in ACE and established genotype-specific reference intervals in order to improve the diagnostic accuracy and the value for treatment of sarcoidosis. The new genotyping assay is based on high-resolution melting (HRM) using LCGreen + and was used to genotype 400 healthy Danish individuals. The assay was compared to a real-time polymerase chain reaction (RT-PCR) assay in a validation set of 86 samples. Enzyme activity in serum was measured using the Infinity™ ACE Liquid Stable Reagent from Thermo adapted for the ABX Pentra analyzer. There was full concordance between genotyping assays. The three genotypes II, ID and DD were present with a frequency of 0.23, 0.51 and 0.26. The distribution of s-ACE values in the total population was non-Gaussian (non-parametric 95% reference interval 12.0-60.0 U/L). The median activities of the genotypes differed significantly (P<0.0001). Ninety-five per cent non-parametric reference intervals for the subpopulations were determined to 6.3-38.5, 14.0-56.0 and 23.3-71.2 U/L for II, ID and DD, respectively. We have developed a simple and robust method for ACE genotyping and determined genotype-specific reference intervals for s-ACE concentrations in the Danish population. The new reference intervals may increase the value of s-ACE measurements.