Duplicate Genotypes Research Articles

Is Chromosome 15q13.3 Duplication Involving CHRNA7 Associated With Oral Clefts?

Copy number variants have been associated with intellectual disability, multiple congenital anomalies and craniofacial disorders. It has been reported that microduplication of 15q13.3 is associated with autism, cognitive impairment, seizures, and attention-deficit hyperactivity disorder. Here, the author identified microduplications in the 15q13.3 region in 4 cases from 3 Chinese families using chromosomal microarray analysis–single nucleotide polymorphism array (CMA-SNP). These 4 cases include 2 fetuses from 2 unrelated families and a father and a daughter from a third family. The identified microduplications of 15q13.3 are approximately 400 kb in size, encompassing just 1 gene, cholinergic receptor, neuronal nicotinic, alpha polypeptide 7 (CHRNA7). Three-fourths of the probands exhibit oral clefts, which has not been previously reported in cases with this duplication genotype. Therefore, in this study, the author describes for the first time the common feature of oral clefts in patients carrying a microduplication of 15q13.3 encompassing the CHRNA7 gene, which sheds light on the correlation between CHRNA7 and cleft palate.

Label-Free Fluorescent Copper Nanoclusters for Genotyping of Deletion and Duplication of Duchenne Muscular Dystrophy.

Real applications in clinical diagnosis of label-free fluorescent copper nanoclusters (CuNCs) are demonstrated. Double-strand DNA (dsDNA) can act as an effective template for the formation of CuNCs, which can be used to distinguish the deletion or duplication genotypes of Duchenne muscular dystrophy (DMD) due to different fluorescent intensities. After PCR, the DMD amplicons reacted with copper ion by reduction of ascorbic acid and generated fluorescence. The exons of the DMD gene were taken as the model analytes for genetic diagnosis. In this sensing system, the deletion type does not show fluorescence; on the other hand, the duplication type emits higher fluorescence than normal type. Parameters of this sensing system were optimized, including PCR conditions, levels of copper ion and ascorbate, and reaction time. The DMD-dominated exons 45, 46, and 47 were detected, and the method was applied to six samples of DMD patients. The results were consistent with those of the multiplex ligation-dependent probe amplification method. This strategy was feasible to detect all exons of this disease.

Heterogeneity in the inter-tumor transcriptome of high risk prostate cancer.

BackgroundGenomic analyses of hundreds of prostate tumors have defined a diverse landscape of mutations and genome rearrangements, but the transcriptomic effect of this complexity is less well understood, particularly at the individual tumor level. We selected a cohort of 25 high-risk prostate tumors, representing the lethal phenotype, and applied deep RNA-sequencing and matched whole genome sequencing, followed by detailed molecular characterization.ResultsTen tumors were exposed to neo-adjuvant hormone therapy and expressed marked evidence of therapy response in all except one extreme case, which demonstrated early resistance via apparent neuroendocrine transdifferentiation. We observe high inter-tumor heterogeneity, including unique sets of outlier transcripts in each tumor. Interestingly, outlier expression converged on druggable cellular pathways associated with cell cycle progression, translational control or immune regulation, suggesting distinct contemporary pathway affinity and a mechanism of tumor stratification. We characterize hundreds of novel fusion transcripts, including a high frequency of ETS fusions associated with complex genome rearrangements and the disruption of tumor suppressors. Remarkably, several tumors express unique but potentially-oncogenic non-ETS fusions, which may contribute to the phenotype of individual tumors, and have significance for disease progression. Finally, one ETS-negative tumor has a striking tandem duplication genotype which appears to be highly aggressive and present at low recurrence in ETS-negative prostate cancer, suggestive of a novel molecular subtype.ConclusionsThe multitude of rare genomic and transcriptomic events detected in a high-risk tumor cohort offer novel opportunities for personalized oncology and their convergence on key pathways and functions has broad implications for precision medicine.Electronic supplementary materialThe online version of this article (doi:10.1186/s13059-014-0426-y) contains supplementary material, which is available to authorized users.

Heterogeneity in the inter-tumor transcriptome of high risk prostate cancer

Genomic analyses of hundreds of prostate tumors have defined a diverse landscape of mutations and genome rearrangements, but the transcriptomic effect of this complexity is less well understood, particularly at the individual tumor level. We selected a cohort of 25 high-risk prostate tumors, representing the lethal phenotype, and applied deep RNA-sequencing and matched whole genome sequencing, followed by detailed molecular characterization. Ten tumors were exposed to neo-adjuvant hormone therapy and expressed marked evidence of therapy response in all except one extreme case, which demonstrated early resistance via apparent neuroendocrine transdifferentiation. We observe high inter-tumor heterogeneity, including unique sets of outlier transcripts in each tumor. Interestingly, outlier expression converged on druggable cellular pathways associated with cell cycle progression, translational control or immune regulation, suggesting distinct contemporary pathway affinity and a mechanism of tumor stratification. We characterize hundreds of novel fusion transcripts, including a high frequency of ETS fusions associated with complex genome rearrangements and the disruption of tumor suppressors. Remarkably, several tumors express unique but potentially-oncogenic non-ETS fusions, which may contribute to the phenotype of individual tumors, and have significance for disease progression. Finally, one ETS-negative tumor has a striking tandem duplication genotype which appears to be highly aggressive and present at low recurrence in ETS-negative prostate cancer, suggestive of a novel molecular subtype. The multitude of rare genomic and transcriptomic events detected in a high-risk tumor cohort offer novel opportunities for personalized oncology and their convergence on key pathways and functions has broad implications for precision medicine.

Duplicação cromossômica de gramíneas forrageiras: uma alternativa para programas de melhoramento genético

A obtenção artificial de genótipos com duplicação cromossômica em forrageiras busca maximizar características de interesse agronômico, como valor nutricional e produção de forragem, resistência a pragas e doenças, tolerância a estresses abióticos e restauração da fertilidade de híbridos estéreis. Outro objetivo da duplicação cromossômica é a geração de variabilidade genética em espécies apomíticas, por meio da duplicação cromossômica de acessos sexuais igualando a ploidia de modo a permitir a realização de cruzamentos e a obtenção de descendentes férteis. A indução de poliploidia é feita utilizando substâncias antimitóticas, sendo a colchicina a mais amplamente usada em plantas forrageiras. Entretanto, devido a sua toxicidade, outras substâncias como herbicidas e cafeína vem sendo empregadas com sucesso em gramíneas. A eficácia na obtenção de poliploides artificialmente depende de uma série de fatores exógenos, tais como as substâncias antimitóticas utilizadas, o tipo de explante, o tempo e as condições de exposição e as concentrações dos antimitóticos. Esta revisão tem por objetivo apresentar os principais métodos usados para indução de poliploidia em gramíneas forrageiras e os avanços obtidos no melhoramento genético, a partir do uso de genótipos poliploidizados.

Association between genetic variations in transforming growth factor beta pathway and overall survival in patients with non-small cell lung cancer treated with definitive radiotherapy.

e17530 Background: The transforming growth factor beta (TGFβ) pathway, an important regulator in cellular metabolic process, has been reported for significant association with cancer prognosis. This study was to exam the association between single nucleotide polymorphisms (SNPs) of TGFβ pathway and overall survival (OS) in subjects with non-small cell lung cancer (NSCLC). Methods: Patients with stage I-III NSCLC received definitive radiotherapy with/without chemotherapy were eligible to this prospective study. The primary endpoint was OS which was calculated from radiation treatment start to death or censored. DNA samples for genotyping were extracted from buffy-coat which was collected before commencement of treatment. 19 SNPs in 10 genes (BMP1, BMP2, INHBC, SMAD1, SMAD3, SMAD4, SMAD6, SMAD7, SMAD8, TGFβ1), which was reported to have significant correlation with OS of lung cancer, were selected. MassArray System (Sequenom Company) was used for genotyping. Cox regression was performed for multivariate analysis to examine the effects of genotypes on OS using dominant and recessive genetic model. Results: 126 consecutive patients, 91% of them were Caucasian, were recruited in this study. All SNPs call rates were over 90%. Assay reproducibility was over 99% by random double-blinding duplicate or triplicate genotyping. Among clinical factors analyzed, radiation dose was only significant independent factor predicting OS (P=0.001). Genotypic association study showed that 7 SNPs (rs235756, rs11939979, rs12102171, rs6494633, rs12456284, rs12906898 and rs4803455) were significantly associated with OS, adjusted for age, gender, smoking, histology, clinical stage, tumor volume, Karnofsky Performance Status, radiotherapy dose, and chemotherapy. The strongest association was in SMAD3: rs12102171 (P=0.004, HR=2.28, 95%CI, 1.26-4.15). Conclusions: This study partly validated findings from previous studies that genetic variations in the TGFβ pathway are significant predictors of overall survival in NSCLC patients treated with definitive radiotherapy with/without chemotherapy.

The prognostic significance of IDH2 mutations in AML depends on the location of the mutation

AbstractWe have investigated the prognostic significance of isocitrate dehydrogenase 2 (IDH2) mutations in 1473 younger adult acute myeloid leukemia patients treated in 2 United Kingdom Medical Research Council trials. An IDH2 mutation was present in 148 cases (10%), 80% at R140 and 20% at R172. Patient characteristics and outcome differed markedly between the 2 mutations. IDH2R140 significantly correlated with nucleophosmin mutations (NPM1MUT), whereas IDH2R172 cases generally lacked other molecular mutations. An IDH2R140 mutation was an independent favorable prognostic factor for relapse (P = .004) and overall survival (P = .008), and there was no significant heterogeneity with regard to NPM1 or FLT3 internal tandem duplication (FLT3/ITD) genotype. Relapse in FLT3/ITDWTNPM1MUTIDH2R140 patients was lower than in favorable-risk cytogenetics patients in the same cohort (20% and 38% at 5 years, respectively). The presence of an IDH2R172 mutation was associated with a significantly worse outcome than IDH2R140, and relapse in FLT3/ITDWTNPM1WTIDH2R172 patients was comparable with adverse-risk cytogenetics patients (76% and 72%, respectively).

Towards an efficient phenotypic classification of fungal cultures from environmental samples using digital imagery

The use of the analysis technique proposed here, based on functions of the digital imagery software eCognition professional 4.0, provides an objective and effective method for the assessment of fungal diversity in the context of environmental screening projects. It is demonstrated that strains of cultivated fungi can be quantitatively segregated with regard to specific false-color patterns, which reflect even the merest differences in pigment composition, indicating genotypic or phylogenetic disparities. Due to resolving subtle differences of phenotypic traits, a rapid recognition of (duplicate) genotypes is possible which allows the direct inference of the mycobial diversity of given environmental samples and a semi-quantitative or qualitative estimation of the fungal community structure. Two sets of image data from cultures were used in the current study: a minor set being applied for the definition of color classes and for usage in an image reference array, and a second, extended dataset for method validation. An objective assignment, based on false-color classification, was carried out by cluster analysis. High reproducibility using standardized methods makes this design an effective pre-screening option in the field of microbial environmental research. The application of false-color imagery may therefore be applied in fungal monitoring studies as a meaningful procedure supplementing molecular analyses by the identification of new strains irrespective of their relatedness.

High Concordance of Bovine Single Nucleotide Polymorphism Genotypes Generated Using Two Independent Genotyping Strategies

Single nucleotide polymorphisms (SNPs) represent the most common form of DNA sequence variation in mammalian livestock genomes. While the past decade has witnessed major advances in SNP genotyping technologies, genotyping errors caused, in part, by the biochemistry underlying the genotyping platform used, can occur. These errors can distort project results and conclusions and can result in incorrect decisions in animal management and breeding programs; hence, SNP genotype calls must be accurate and reliable. In this study, 263 Bos spp. samples were genotyped commercially for a total of 16 SNPs. Of the total possible 4,208 SNP genotypes, 4,179 SNP genotypes were generated, yielding a genotype call rate of 99.31% (standard deviation ± 0.93%). Between 110 and 263 samples were subsequently re-genotyped by us for all 16 markers using a custom-designed SNP genotyping platform, and of the possible 3,819 genotypes a total of 3,768 genotypes were generated (98.70% genotype call rate, SD ± 1.89%). A total of 3,744 duplicate genotypes were generated for both genotyping platforms, and comparison of the genotype calls for both methods revealed 3,741 concordant SNP genotype call rates (99.92% SNP genotype concordance rate). These data indicate that both genotyping methods used can provide livestock geneticists with reliable, reproducible SNP genotypic data for in-depth statistical analysis.

The Cost Effectiveness of Duplicate Genotyping for Testing Genetic Association

We consider a modification to the traditional genome wide association (GWA) study design: duplicate genotyping. Duplicate genotyping (re-genotyping some of the samples) has long been suggested for quality control reasons; however, it has not been evaluated for its statistical cost-effectiveness. We demonstrate that when genotyping error rates are at least m%, duplicate genotyping provides a cost-effective (more statistical power for the same price) design alternative when relative genotype to phenotype/sample acquisition costs are no more than m%. In addition to cost and error rate, duplicate genotyping is most cost-effective for SNPs with low minor allele frequency. In general, relative genotype to phenotype/sample acquisition costs will be low when following up a limited number of SNPs in the second stage of a two-stage GWA study design, and, thus, duplicate genotyping may be useful in these situations. In cases where many SNPs are being followed up at the second stage, duplicate genotyping only low-quality SNPs with low minor allele frequency may be cost-effective. We also find that in almost all cases where duplicate genotyping is cost-effective, the most cost-effective design strategy involves duplicate genotyping all samples. Free software is provided which evaluates the cost-effectiveness of duplicate genotyping based on user inputs.

Incorporating Duplicate Genotype Data into Linear Trend Tests of Genetic Association: Methods and Cost-Effectiveness

The genome-wide association (GWA) study is an increasingly popular way to attempt to identify the causal variants in human disease. Duplicate genotyping (or re-genotyping) a portion of the samples in a GWA study is common, though it is typical for these data to be ignored in subsequent tests of genetic association. We demonstrate a method for including duplicate genotype data in linear trend tests of genetic association which yields increased power. We also consider the cost-effectiveness of collecting duplicate genotype data and find that when the relative cost of genotyping to phenotyping and sample acquisition costs is less than or equal to the genotyping error rate it is more powerful to duplicate genotype the entire sample instead of spending the same money to increase the sample size. Duplicate genotyping is particularly cost-effective when SNP minor allele frequencies are low. Practical advice for the implementation of duplicate genotyping is provided. Free software is provided to compute asymptotic and permutation based tests of association using duplicate genotype data as well as to aid in the duplicate genotyping design decision.

Estimating the Single Nucleotide Polymorphism Genotype Misclassification From Routine Double Measurements in a Large Epidemiologic Sample

Previously, estimation of genotype misclassification of single nucleotide polymorphisms (SNPs) as encountered in epidemiologic practice and involving thousands of subjects was lacking. The authors collected representative data on approximately 14,000 subjects from 8 studies and 646,558 genotypes assessed in 2005 by means of matrix-assisted laser desorption ionization time-of-flight mass spectrometry. Overall discordance among 57,805 double genotypes from routine quality control was 0.36%. Fitting different misclassification models by maximum likelihood assuming identical misclassification for all SNPs, the estimated misclassification probabilities ranged from 0.0000 to 0.0035. When applying the misclassification simulation and extrapolation (MC-SIMEX) method for the first time to genetic data to account for the misclassification in a reanalysis of adiponectin-encoding (APM1) gene SNP associations with plasma adiponectin in 1,770 subjects, the authors found no impact of this small error on association estimates but increased estimates for a more substantial error. This study is the first to provide large-scale epidemiologic data on SNP genotype misclassification. The estimated misclassification in this example was small and negligible for association estimates, which is reassuring and essential for detecting SNP associations. In situations with more substantial error, the presented approach using duplicate genotyping and the MC-SIMEX method is practical and helpful for quantifying the genotyping error and its impact.

Multiple near-identical genotypes of Schistosoma japonicum can occur in snails and have implications for population-genetic analyses

We genotyped (using 16 or 17 microsatellite loci) numerous adult Schistosoma japonicum raised in rabbits exposed to pooled cercariae from small numbers of naturally infected snails from several localities in China. As expected, duplicate multi-locus genotypes (MLGs) were found among these worms. Additionally, many more MLGs, often near-identical, were found than snails used as sources of cercariae. Explanations for these results include (i) genotyping errors, (ii) development within each infected snail of multiple sibling miracidia and (iii) somatic mutation producing genetically varied cercariae from a single miracidium. To control for genotyping errors we re-analysed samples from many individual worms, including repeating the initial PCR. Explanations invoking the development of multiple sibling miracidia within a single snail are not likely to be correct because almost all duplicate MLGs fell within same-sex clusters in a principal coordinates analysis. We would expect both sexes to be represented in a multi-miracidium infection. In addition, we exposed several snails to infection by a single miracidium. One such snail, via an experimentally infected mouse, yielded 48 adult worms. The presence of at least nine near-identical MLGs among these worms was confirmed by re-genotyping. We regard somatic mutation as the most likely explanation for our results. The implications of multiple MLGs for population-genetic studies in S. japonicum are discussed.

Identification of deletion and duplication genotypes of thePMP22gene using PCR‐RFLP, competitive multiplex PCR, and multiplex ligation‐dependent probe amplification: A comparison

We evaluated the efficacy of PCR-RFLP, competitive multiplex PCR, and a commercially available system of multiplex ligation-dependent probe amplification (MLPA) for the determination of deletion and duplication genotypes of the PMP22 gene. We compared the methods for efficiency, sensitivity, and specificity. We determined the gene dosage of the PMP22 gene via PCR-RFLP, competitive multiplex PCR, and MLPA. To demonstrate the sensitivity and accuracy of these three methods, a total of 185 samples from 42 patients with hereditary neuropathy with liability to pressure palsies (HNPP), 57 patients with Charcot-Marie-Tooth disease type 1A (CMT1A), and 86 unaffected individuals, were analyzed. Molecular diagnosis by PCR-RFLP was performed on all 185 samples; 24 HNPP deletions and 33 CMT1A duplications were identified. In contrast, 25 HNPP deletions and 38 CMT1A duplications were identified correctly using competitive multiplex PCR and MLPA. Six samples were incorrectly identified by PCR-RFLP (one HNPP deletion and five CMT1A duplications). Competitive multiplex PCR and MLPA demonstrated reliability and relative speed compared to PCR-RFLP; they were superior to PCR-RFLP for gene dosage quantification. Multiplex PCR and MLPA should be the methods of choice for detection of deletion and duplication genotypes in molecular genetic diagnoses.

Use of multiplex PCR and CE for gene dosage quantification and its biomedical applications for SMN, PMP22, and α‐globin genes

Many genetic diseases are caused by the presence of point mutations, small insertions, and deletions in respective genes, and the number of diseases known to be caused by deletions and duplications involving large DNA genomes is increasing. These changes lead to underexpression or overexpression of the gene, according to changes in gene dosage. The methods for the detection of point mutations, small insertions, and deletions are well established, but the detection of larger genomic deletions or duplications is more difficult. Due to the lack of efficient and technically feasible protocols for gene dosage quantification, we describe a diagnostic protocol employing a combination of available methods. The efficient and accurate gene dosage quantification platform is combined with multiplex PCR and CE, and applied to detect dosages of several genes, including SMN, PMP22, and alpha-globin genes. The reliability of this novel methodology shows that it is a relatively speedy and low-cost procedure and a significant tool for genetic diagnosis. Its sensitivity and specificity for identifying deletion and duplication genotypes approach 100%. Moreover, once we establish this powerful system, we will further apply this technique to the rapid detection of trisomy syndromes and microdeletion syndromes, including trisomy 13, Down syndrome, DiGeorge syndrome, and others.

Capturing genetic diversity of wild populations for ex situ conservation: Texas wild rice (Zizania texana) as a model

Genebanks complement other conser- vation programs because they preserve genetic diversity needed for future breeding and resto- ration. We evaluated efficiency of capturing genetic diversity, using endangered Zizania texana (Texas wild rice) as a model for plants with recalcitrant seeds. This perennial aquatic grass is restricted to 4 km of the San Marcos River in Texas. An early conservation collection included plants from stands throughout the river, based on the assumption stands would be unique geno- types. Using microsatellite markers, we found that genetic diversity was concentrated in five of 15 large, demographically stable stands; 96 stands smaller than 2 m 2 contributed no unique alleles. High heterozygosity and few duplicate genotypes suggested that sexual reproduction occurs more often than presumed. Simulations of stratified sampling of large stands captured all alleles in only 45 individuals, while random sampling along the river captured much less diversity. The early conservation collection captured as much diver- sity as expected from random sampling. Texas wild rice stands resemble a mainland-island metapopulation; our analyses suggest that strati- fied sampling maximizes genetic diversity for this population dynamic. Demographic and genetic information is important for validating the design of efficient ex situ collections and guiding in situ conservation.

Quantitative Assay of Deletion or Duplication Genotype by Capillary Electrophoresis System: Application in Prader–Willi Syndrome and Duchenne Muscular Dystrophy

Deletions and duplications involving large DNA segments result in underexpression or overexpression, depending on the changes in allele dose, and are known to cause many common disorders. Detection of allele dose variations in the human genome is increasingly important in medical genetic diagnosis. We used multiplex quantitative PCR coupled with capillary electrophoresis for accurate allele dose determination. In cases of Prader-Willi syndrome (PWS), a total of 24 patients with PWS, as well as 205 control individuals from the general population, were analyzed by use of multiplex quantitative PCR to amplify the FGFR2 gene, the KRIT1 gene, and the SNRPN gene simultaneously. In cases of Duchenne muscular dystrophy (DMD), we optimized the multiplex quantitative PCR to amplify 38 exons to analyze the DMD gene for rapid diagnosis of 12 DMD-affected males, 12 obligate carriers from families, and 50 unaffected female controls. We were able to unambiguously diagnose the deletion genotype in PWS patients and identify all deletion or duplication genotypes and carrier status in DMD-affected cases with 100% sensitivity and specificity. This report describes a novel single assay that can rapidly quantify allele dose to provide accurate clinical genetic diagnosis. This technique offers a valuable alternative for the rapid detection of genomic deletions or duplications and decreases costs because it does not require expensive fluorescent reagents.

Pharmacokinetics of codeine and its metabolite morphine in ultra-rapid metabolizers due to CYP2D6 duplication

Codeine is an analgesic drug acting on mu-opiate receptors predominantly via its metabolite morphine, which is formed almost exclusively by the genetically polymorphic enzyme cytochrome P450 2D6 (CYP2D6). Whereas it is known that individuals lacking CYP2D6 activity (poor metabolizers, PM) suffer from poor analgesia from codeine, ultra-fast metabolizers (UM) due to the CYP2D6 gene duplication may experience exaggerated and even potentially dangerous opioidergic effects and no systematical study has been performed so far on this question. A single dose of 30 mg codeine was administered to 12 UM of CYP2D6 substrates carrying a CYP2D6 gene duplication, 11 extensive metabolizers (EM) and three PM. Genotyping was performed using polymerase chain reaction-restriction fragment length polymorphism methods and a single-base primer extension method for characterization of the gene-duplication alleles. Pharmacokinetics was measured over 24 h after drug intake and codeine and its metabolites in plasma and urine were analyzed by liquid chromatography with tandem mass spectrometry. Significant differences between the EM and UM groups were detected in areas under the plasma concentration versus time curves (AUCs) of morphine with a median (range) AUC of 11 (5-17) microg h l(-1) in EMs and 16 (10-24) microg h l(-1) in UM (P=0.02). In urine collected over 12 h, the metabolic ratios of the codeine+codeine-6-glucuronide divided by the sum of morphine+its glucuronides metabolites were 11 (6-17) in EMs and 9 (6-16) in UM (P=0.05). Ten of the 11 CYP2D6 UMs felt sedation (91%) compared to six (50%) of the 12 EMs (P=0.03). CYP2D6 genotypes predicting ultrarapid metabolism resulted in about 50% higher plasma concentrations of morphine and its glucuronides compared with the EM. No severe adverse effects were seen in the UMs in our study most likely because we used for safety reasons a low dose of only 30 mg. It might be good if physicians would know about the CYP2D6 duplication genotype of their patients before administering codeine.

Microsatellite DNA Analysis of Wild Hops, Humulus lupulus L.

To study the relationships and genetic diversity among wild hops, Humulus lupulus, we analyzed 133 samples of wild hops collected from Europe, Asia and North America using polymorphism on 11 microsatellite loci. Although only three primers showed bands in Japanese hops, all other samples showed polymorphic bands at most loci. There were no duplicate genotypes among samples of European, Chinese and North American hops, and each individual hop could be distinguished completely. The phylogenetic tree constructed from DA distance with the UPGMA method showed a large cluster comprised of European hops, although Russian hops from the Caucasus and Altai regions were separate from the European cluster. Chinese and North American samples gave distinct clusters suggesting genetic differentiation. This study has indicated that hop microsatellite DNA is differentiated, and is dependent upon the origin in regions of Europe, Asia and North America.

Detection of genotyping errors and pseudo-SNPs via deviations from Hardy-Weinberg equilibrium.

Genotype error can greatly reduce the power of a genetic study. For family data, genotype error can be assessed by examining marker data for non-Mendelian inconsistencies, closely linked markers for double recombination events, and consistency of duplicate genotypes. For case-control data, duplicate samples are genotyped, and controls are tested for deviations from Hardy-Weinberg equilibrium (HWE). Duplicate samples can provide accurate estimates of genotyping error rates, unless systematic genotyping errors have occurred. Although genotyping errors can cause deviations from HWE, these deviations are usually small, and the power to detect them is low except for high rates of genotyping error and/or large sample sizes. An additional problem is that even when deviations from HWE are detected for marker loci, without additional experimentation it is not possible to unequivocally implicate genotyping error as the cause. The power and sample sizes necessary to detect deviations from HWE for single-nucleotide polymorphism (SNP) data are examined for a variety of genotyping error and pseudo-SNP models. For the majority of genotyping models examined, the power is poor to detect deviations from HWE. For example, for 1,000 controls, if an allele with a frequency of 0.1 fails to amplify for 28% of the heterozygous genotypes producing a sample error rate of 0.05, the power is 0.51 to detect a deviation from HWE at an alpha level of 0.05. On the other hand, the detection of deviations from HWE for pseudo-SNPs (paralogous and ectopic sequence variants) for the majority of models examined produces a power of >0.8 for sample sizes as small as 50 individuals.