Panel Of Genetic Markers Research Articles

Predicting Diabetic Nephropathy Using a Multifactorial Genetic Model

AimsThe tendency to develop diabetic nephropathy is, in part, genetically determined, however this genetic risk is largely undefined. In this proof-of-concept study, we tested the hypothesis that combined analysis of multiple genetic variants can improve prediction.MethodsBased on previous reports, we selected 27 SNPs in 15 genes from metabolic pathways involved in the pathogenesis of diabetic nephropathy and genotyped them in 1274 Ashkenazi or Sephardic Jewish patients with Type 1 or Type 2 diabetes of >10 years duration. A logistic regression model was built using a backward selection algorithm and SNPs nominally associated with nephropathy in our population. The model was validated by using random “training” (75%) and “test” (25%) subgroups of the original population and by applying the model to an independent dataset of 848 Ashkenazi patients.ResultsThe logistic model based on 5 SNPs in 5 genes (HSPG2, NOS3, ADIPOR2, AGER, and CCL5) and 5 conventional variables (age, sex, ethnicity, diabetes type and duration), and allowing for all possible two-way interactions, predicted nephropathy in our initial population (C-statistic = 0.672) better than a model based on conventional variables only (C = 0.569). In the independent replication dataset, although the C-statistic of the genetic model decreased (0.576), it remained highly associated with diabetic nephropathy (χ2 = 17.79, p<0.0001). In the replication dataset, the model based on conventional variables only was not associated with nephropathy (χ2 = 3.2673, p = 0.07).ConclusionIn this proof-of-concept study, we developed and validated a genetic model in the Ashkenazi/Sephardic population predicting nephropathy more effectively than a similarly constructed non-genetic model. Further testing is required to determine if this modeling approach, using an optimally selected panel of genetic markers, can provide clinically useful prediction and if generic models can be developed for use across multiple ethnic groups or if population-specific models are required.

Tracing Cattle Breeds with Principal Components Analysis Ancestry Informative SNPs

The recent release of the Bovine HapMap dataset represents the most detailed survey of bovine genetic diversity to date, providing an important resource for the design and development of livestock production. We studied this dataset, comprising more than 30,000 Single Nucleotide Polymorphisms (SNPs) for 19 breeds (13 taurine, three zebu, and three hybrid breeds), seeking to identify small panels of genetic markers that can be used to trace the breed of unknown cattle samples. Taking advantage of the power of Principal Components Analysis and algorithms that we have recently described for the selection of Ancestry Informative Markers from genomewide datasets, we present a decision-tree which can be used to accurately infer the origin of individual cattle. In doing so, we present a thorough examination of population genetic structure in modern bovine breeds. Performing extensive cross-validation experiments, we demonstrate that 250-500 carefully selected SNPs suffice in order to achieve close to 100% prediction accuracy of individual ancestry, when this particular set of 19 breeds is considered. Our methods, coupled with the dense genotypic data that is becoming increasingly available, have the potential to become a valuable tool and have considerable impact in worldwide livestock production. They can be used to inform the design of studies of the genetic basis of economically important traits in cattle, as well as breeding programs and efforts to conserve biodiversity. Furthermore, the SNPs that we have identified can provide a reliable solution for the traceability of breed-specific branded products.

Genetic analyses involving microsatellite ETH10 genotypes on bovine chromosome 5 and performance trait measures in Angus- and Brahman-influenced cattle1

ETH10 is a dinucleotide microsatellite within the promoter of signal transducer and activator of transcription 6 (STAT6) gene on bovine chromosome 5. ETH10 is included in the panel of genetic markers used in parentage testing procedures of cattle breed associations. Allelic sizes of ETH10 PCR amplicons range from 199 to 225 bp. Objectives of this study were to use microsatellite data from beef cattle breed associations to investigate genetic distance and population stratification among Angus- and Brahman-influenced cattle and to use ETH10 genotypes and growth and ultrasound carcass data to investigate their statistical relationships. Three series of genotype to phenotype association analyses were conducted with 1) Angus data (n=5,094), 2) Brangus data (3/8 Brahman × 5/8 Angus; n=2,296), and 3) multibreed data (n=4,426) of Angus and Brangus cattle. Thirteen alleles and 38 genotypes were observed, but frequencies varied among breed groups. Tests of genetic identity and distance among 6 breed composition groups increasing in Brahman influence from 0 to 75% revealed that as Brahman-influence increased to ≥50%, genetic distance from Angus ranged from 18.3 to 43.5%. This was accomplished with 10 microsatellite loci. A mixed effects model involving genotype as a fixed effect and sire as a random source of variation suggested that Angus cattle with the 217/219 genotype tended to have 2.1% heavier (P=0.07) 205-d BW than other genotypes. In Brangus cattle, allele combinations were classified as small (≤215 bp) or large (≥217 bp). Brangus cattle with the small/large genotype had 2.0% heavier (P<0.05) birth weight, yet cattle with the large/large genotype had approximately 5.1% greater (P<0.05) percentage of fat within LM and more LM per BW than cattle with small/large or small/small genotypes. Genotype-to-phenotype relationships were not detected in multibreed analyses. The ETH10 locus appears to be associated with growth and carcass traits in Angus and Brangus cattle. Results from this study provide support for STAT6 as one of the candidate genes underlying cattle growth QTL on chromosome 5.

Genetic markers as one of tools for production of tenderness meat in cattle

Meat tenderness is one of the major characteristic quality of beef not only for consumers but for breeders of beef cattle too. Selection of cattle focussed on an increment of meat tenderness is complicated because this trait has large variability not only between different breeds but between individuals of equal breed too. Similarly a measurement of meat tenderness is expensive because it make after slaughter of animal and ageing of meat post mortem. Therefore it was developed a several methods, by the help of which is possible increase tenderness of meat. However still exist variance in values of meat tenderness which are caused by distinctness genetic base of animal. By using molecular genetic methods was described the most significant candidate genes (CAPN1, CAST) coding formation of the calpains-calpastatin proteolytic system, which exercise an influence on tenderness. The single nucleotide polymorphisms (SNPs) in these genes were using to design commercially genetic marker panels GeneSTAR Tenderness and Igenity Tender-GENE. By help this commercially test is possible to make genotyping and selection of animals for production of tenderness beef meat in meat industry.

Ancestry informative markers for fine-scale individual assignment to worldwide populations

Background and aimsThe analysis of large-scale genetic data from thousands of individuals has revealed the fact that subtle population genetic structure can be detected at levels that were previously unimaginable....

Hepatocyte Growth Factor and Retinal Arteriolar Diameter in Singapore Chinese

To assess if natural genetic variation in hepatocyte growth factor (HGF) is associated with altered retinal vessel diameter. Two-stage cohort study. Discovery set (set 1, n = 682 children) and confirmatory set (set 2, n = 1293 adults). Children in the discovery set were genotyped for a panel of genetic markers within HGF. Markers that were found to be associated significantly with altered retinal vessel diameter then were genotyped in the confirmatory set. Increased or decreased retinal vessel diameter. In the discovery set (n = 682 Chinese children aged 7 to 12 years), the variant allele of 4 HGF single nucleotide polymorphisms (SNPs) demonstrated association with larger retinal arteriolar diameter. The effect of the variant allele seems to be strongest within a recessive model of inheritance (P(min) = 4.6x10(-3)) for all 4 SNPs. When these 4 SNPs were assessed in a confirmatory study comprising 1293 Chinese adults, successful replication was observed for one of them (HGF +63962; rs5745752); the variant allele was observed to correlate with significantly larger retinal arteriolar diameter, with its effect again strongest within a model of recessive inheritance (P = 0.049). Analyzed as a quantitative trait, recessive carriage at HGF +63962 resulted in on average a 3.5-microm increase in retinal arteriolar diameter among children and a 2.5-microm increase in adults (P = 7.0x10(-3), analysis of variance; P = 3.0x10(-3), Kruskal-Wallis test). This study suggests that natural variation within HGF is involved in the control of retinal arteriolar diameter and may be important in the pathogenesis of microvascular disease in individuals of Chinese descent.

Genetic Polymorphisms in Genes Encoding Antioxidant Enzymes Are Associated With Diabetic Retinopathy in Type 1 Diabetes

OBJECTIVEOxidative stress plays an important role in the development of microangiopathic complications in type 1 diabetes. We investigated polymorphic markers in genes encoding enzymes regulating production of reactive oxygen species in association with diabetic retinopathy or diabetic nephropathy.RESEARCH DESIGN AND METHODSA total of 124 patients with type 1 diabetes were investigated in this case-control study. All subjects were matched for sex, age, and duration of diabetes. Genotyping was conducted using real-time PCR for p.Val16Ala polymorphism in the MnSOD gene and c.C−262T in the promoter region of the CAT gene. Multiplex PCR method was used for determination of GSTM1 and GSTT1 polymorphic deletions. Fluorescence-labeled PCR amplicons and fragment analysis was used for assessing the number of pentanucleotide (CCTTT)n repeats in inducible nitric oxide synthase.RESULTSA positive association of MnSOD genotype Val/Val (odds ratio [OR] 2.49, 95% CI 1.00–6.16, P = 0.045) and GSTM1–1 genotype (2.63, 1.07–6.47, P = 0.031) with diabetic retinopathy but not with diabetic nephropathy was demonstrated. Additionally, the combination of the two genotypes conveyed an even higher risk (4.24, 1.37–13.40, P = 0.009). No other investigated genetic polymorphisms were associated with either diabetic retinopathy or diabetic nephropathy.CONCLUSIONSSelected polymorphisms in genes encoding MnSOD and GSTM1 could be added to a panel of genetic markers for identification of individuals with type 1 diabetes at an increased risk for developing diabetic retinopathy.

CMET and Refractive Error Progression in Children

To assess whether genetic variation in cMET is associated with refractive error or change in refractive error over time. Cohort study. Discovery set (Set 1: N = 579 children; 403 cases, 176 controls). Confirmatory set (Set 2: N = 547 children; 338 cases, 209 controls). Children in the discovery set were genotyped for a panel of genetic markers within cMET. Markers that were found to be significantly associated with the presence of refractive error or more rapid change in refractive error were then genotyped in the confirmatory set. Presence or absence of myopia and the rate of change in refractive error over a 3-year follow-up period. Carriage of the variant cMET +110703 A allele was found to associate with increased susceptibility to myopia. The variant was also found to associate with a faster rate of change in refractive error in both the discovery set and the confirmatory cohort regardless of the initial refractory ability (School 1; chi(2) for trend P = 0.014) (Schools 2 and 3; chi(2) for trend = 5.42, P = 0.020) (combined N = 1126, overall chi(2) for trend = 10.90, P = 9.6 x 10(-4)). Carriage of the variant allele was also found to be significantly overrepresented in children within the fastest changing quartile (Q4: mean change of -3.01 D over 3 years) compared with the slowest (Q1: mean change of -0.28 D over 3 years) (P(Set1) = 0.004, P(Set2) = 0.02, Combined N = 559, P = 3.0 x 10(-4)). Our data implicate the involvement of cMET in the pathogenesis of myopia in general, as well as more rapid progression in refractive error regardless of the initial refractory ability. These results underline the importance of eye growth genes in the development of common myopia.

Association of genetic profiles to Crohn’s disease by linear combinations of single nucleotide polymorphisms

A large number of single nucleotide polymorphisms (SNPs) are supposed to be involved in onset, differentiation and development of complex diseases. Univariate analysis is limited in studying complex traits since does not take into account gene-gene interaction, and the correlation of multiple SNPs with a specific phenotype. Moreover it might underestimate gene variants with weaker genetic contribution. Therefore more sophisticated techniques should be adopted when investigating the role of a panel of genetic markers in disease predisposition. In this paper we describe a general method to simultaneously investigate the association between SNPs profile and Crohn's disease (CD), by evaluating the susceptibility or protective role of single or groups of markers. As an association measure we adopted a weighted linear combination of SNPs in which suitable weighting vectors belonged to predefined and over-complete vocabularies of vectors (frames), or were determined by the data. The proposed method found a weighted linear combination of SNPs statistically associated to CD (p=3.81 x 10(-10)) describing the role of the markers in the pathology. In particular, MCP1-A2518G gave the major contribution as protective locus, similarly to TNF-alpha-C857T, DLG5 rs124869, PTPN22 C1858T variants. The NF kappaB -94ATTG variants was found to be irrelevant for CD. For the remaining markers, a susceptibility role was attributed also confirming that markers on CARD15 gene, in particular G908R and L1007fsinsC, are involved with CD to the same extent as FcGIIIA G559T and TNF-alpha-G308A. Moreover, an odds ratio of 3.99(p<1.0 x 10(-4)) was assigned to this combination which is greater than the best odds ratio found in the single SNP analysis. Our methodology allowed to statistically measure the association of a panel of SNPs with a specific phenotype. Therefore this approach could be suitable for a population screening program with simultaneous evaluation of a large set of gene polymorphism.

Identification of pharmacogenetic markers in smoking cessation therapy

Pharmacogenetic clinical trials seek to identify genetic modifiers of treatment effects. When a trial has collected data on many potential genetic markers, a first step in analysis is to screen for evidence of pharmacogenetic effects by testing for treatment-by-marker interactions in a statistical model for the outcome of interest. This approach is potentially problematic because (i) individual significance tests can be overly sensitive, particularly when sample sizes are large; and (ii) standard significance tests fail to distinguish between markers that are likely, on biological grounds, to have an effect, and those that are not. One way to address these concerns is to perform Bayesian hypothesis tests [Berger (1985) Statistical decision theory and Bayesian analysis. New York: Springer; Kass and Raftery (1995) J Am Stat Assoc 90:773-795], which are typically more conservative than standard uncorrected frequentist tests, less conservative than multiplicity-corrected tests, and make explicit use of relevant biological information through specification of the prior distribution. In this article we use a Bayesian testing approach to screen a panel of genetic markers recorded in a randomized clinical trial of bupropion versus placebo for smoking cessation. From a panel of 59 single-nucleotide polymorphisms (SNPs) located on 11 candidate genes, we identify four SNPs (one each on CHRNA5 and CHRNA2 and two on CHAT) that appear to have pharmacogenetic relevance. Of these, the SNP on CHRNA5 is most robust to specification of the prior. An unadjusted frequentist test identifies seven SNPs, including these four, none of which remains significant upon correction for multiplicity. In a panel of 43 randomly selected control SNPs, none is significant by either the Bayesian or the corrected frequentist test.

Neither Replication nor Simulation Supports a Role for the Axon Guidance Pathway in the Genetics of Parkinson's Disease

Susceptibility to sporadic Parkinson's disease (PD) is thought to be influenced by both genetic and environmental factors and their interaction with each other. Statistical models including multiple variants in axon guidance pathway genes have recently been purported to be capable of predicting PD risk, survival free of the disease and age at disease onset; however the specific models have not undergone independent validation. Here we tested the best proposed risk panel of 23 single nucleotide polymorphisms (SNPs) in two PD sample sets, with a total of 525 cases and 518 controls. By single marker analysis, only one marker was significantly associated with PD risk in one of our sample sets (rs6692804: P = 0.03). Multi-marker analysis using the reported model found a mild association in one sample set (two sided P = 0.049, odds ratio for each score change = 1.07) but no significance in the other (two sided P = 0.98, odds ratio = 1), a stark contrast to the reported strong association with PD risk (P = 4.64×10−38, odds ratio as high as 90.8). Following a procedure similar to that used to build the reported model, simulated multi-marker models containing SNPs from randomly chosen genes in a genome wide PD dataset produced P-values that were highly significant and indistinguishable from similar models where disease status was permuted (3.13×10−23 to 4.90×10−64), demonstrating the potential for overfitting in the model building process. Together, these results challenge the robustness of the reported panel of genetic markers to predict PD risk in particular and a role of the axon guidance pathway in PD genetics in general.

EQED: an efficient method for interpreting eQTL associations using protein networks

Analysis of expression quantitative trait loci (eQTLs) is an emerging technique in which individuals are genotyped across a panel of genetic markers and, simultaneously, phenotyped using DNA microarrays. Because of the spacing of markers and linkage disequilibrium, each marker may be near many genes making it difficult to finely map which of these genes are the causal factors responsible for the observed changes in the downstream expression. To address this challenge, we present an efficient method for prioritizing candidate genes at a locus. This approach, called ‘eQTL electrical diagrams' (eQED), integrates eQTLs with protein interaction networks by modeling the two data sets as a wiring diagram of current sources and resistors. eQED achieved a 79% accuracy in recovering a reference set of regulator–target pairs in yeast, which is significantly higher than the performance of three competing methods. eQED also annotates 368 protein–protein interactions with their directionality of information flow with an accuracy of approximately 75%.

Genetic exchange and sub-structuring in Theileria annulata populations

Tropical theileriosis, caused by the tick-transmitted protozoan Theileria annulata, is a major disease of cattle in many regions of the developing world. Development and deployment of current and novel control strategies should take into account the potential diversity of parasite populations and therefore it is important that the nature and basis for this genetic variation is investigated and quantified. The recently completed genome sequence of T. annulata provided an opportunity to develop a panel of genetic markers for population studies. Bioinformatic screening of the genome sequence identified micro- and mini-satellite loci, which were PCR amplified from a series of diverse parasite stocks in order to characterise their polymorphism and determine their species-specificity. A panel of 10 polymorphic markers was then selected for population genetic studies and used to genotype both cloned and uncloned isolates maintained as cell lines of T. annulata isolated from different countries. Uncloned isolates comprised a multiplicity of genotypes, while cloned isolates showed evidence of a single haploid genome. Population genetic analysis revealed a high level of genotypic diversity both between and within countries, as measured by the number of distinct multilocus genotypes. Based on measures of genetic differentiation ( F ST and Nei's genetic distance), the parasite populations are geographically sub-structured and these measurements positively correlate with geographical distance. To investigate whether genetic exchange occurs at random and the populations are panmictic, the level of linkage disequilibrium was measured using the index of association across all loci. Linkage disequilibrium was observed when isolates from all countries were treated as a single population but when the isolates from Tunisia were analysed separately, linkage equilibrium was observed.

Validation of commercial DNA tests for quantitative beef quality traits1,2

Associations between 3 commercially available genetic marker panels (GeneSTAR Quality Grade, GeneSTAR Tenderness, and Igenity Tender-GENE) and quantitative beef traits were validated by the US National Beef Cattle Evaluation Consortium. Validation was interpreted to be the independent confirmation of the associations between genetic tests and phenotypes, as claimed by the commercial genotyping companies. Validation of the quality grade test (GeneSTAR Quality Grade) was carried out on 400 Charolais x Angus crossbred cattle, and validation of the tenderness tests (GeneSTAR Tenderness and Igenity Tender-GENE) was carried out on over 1,000 Bos taurus and Bos indicus cattle. The GeneSTAR Quality Grade marker panel is composed of 2 markers (TG5, a SNP upstream from the start of the first exon of thyroglobulin, and QG2, an anonymous SNP) and is being marketed as a test associated with marbling and quality grade. In this validation study, the genotype results from this test were not associated with marbling score; however, the association of substituting favorable alleles of the marker panel with increased quality grade (percentage of cattle grading Choice or Prime) approached significance (P < or = 0.06), mainly due to the effect of 1 of the 2 markers. The GeneSTAR Tenderness and Igenity TenderGENE marker panels are being marketed as tests associated with meat tenderness, as assessed by Warner-Bratzler shear force. These marker panels share 2 common mu-calpain SNP, but each has a different calpastatin SNP. In both panels, there were highly significant (P < 0.001) associations of the calpastatin marker and the mu-calpain haplotype with tenderness. The genotypic effects of the 2 tenderness panels were similar to each other, with a 1 kg difference in Warner-Bratzler shear force being observed between the most and least tender genotypes. Unbiased and independent validation studies are important to help build confidence in marker technology and also as a potential source of data required to enable the integration of marker data into genetic evaluations. As DNA tests associated with more beef production traits enter the marketplace, it will become increasingly important, and likely more difficult, to find independent populations with suitable phenotypes for validation studies.

Natural selection and population dynamics

To what extent, and under which circumstances, are population dynamics influenced by concurrent natural selection? Density dependence and environmental stochasticity are generally expected to subsume any selective modulation of population growth rate, but theoretical considerations point to conditions under which selection can have an appreciable impact on population dynamics. By contrast, empirical research has barely scratched the surface of this fundamental question in population biology. Here, we present a diverse body of mostly empirical evidence that demonstrates how selection can influence population dynamics, including studies of small populations, metapopulations, cyclical populations and host-pathogen interactions. We also discuss the utility, in this context, of inferences from molecular genetic data, placing them within the broader framework of quantitative genetics and life-history evolution.

Committing Embryonic Stem Cells to Early Endocrine Pancreas In Vitro

A panel of genetic markers was used to assess the in vitro commitment of murine embryonic stem (ES) cells toward the endoderm-derived pancreas and to distinguish insulin-expressing cells of this lineage from other lineages such as neuron, liver, and yolk sac. There are two nonallelic insulin genes in mice. Neuronal cells express only insulin II, whereas the pancreas expresses both insulin I and II. Yolk sac and fetal liver express predominately insulin II, small amounts of insulin I, and no glucagon. We found that ES-derived embryoid bodies cultured in the presence of stage-specific concentrations of monothio-glycerol and 15% fetal calf serum, followed by serum-free conditions, give rise to a population that expresses insulin I, insulin II, pdx-1 (a pancreas marker), and Sox17 (an endoderm marker). Immunohistochemical staining shows intracellular insulin particles, and its de novo production was confirmed by staining for C-peptide. Most, but not all, of the insulin+ or C-peptide+ cells coexpress glucagon, demonstrating a differentiation pathway to pancreas rather than yolk sac or fetal liver. Addition of beta-cell specification and differentiation factors activin beta B, nicotinamide, and exendin-4 to later-stage culture increased insulin-positive cells to 2.73% of the total population, compared with the control culture, which gave rise to less than 1% insulin-staining cells. These findings suggest that stepwise culture manipulations can direct ES cells to become early endocrine pancreas.

Rapid chromosomal assignment of medaka mutants by bulked segregant analysis.

Genetic screens in medaka are leading to the identification of an increasing number of unique mutant phenotypes. However, so far only a few genes responsible for these phenotypes have been characterized. Furthermore, no protocols using a systematic positional cloning strategy have been developed to determine the implicated genes. The PCR-based bulked segregant analysis is a fast and reliable tool to accomplish the initial steps of the positional cloning of a mutation. Here we describe the selection of a panel of genetic markers that, evenly distributed over the 24 chromosomes of medaka, provide a full coverage of the compact medaka genome (800 Mb) when used in bulked segregant analysis. The reference panel, which consists of 48 EST-derived markers, is anchored to a collection of more than 2000 polymorphic markers, thus facilitating a rapid transition from chromosomal assignment to fine mapping of the mutants. More importantly, since most of the genetic screens have been performed in the inbred Cab strain (derived from the Southern population), the selection of markers included in this panel was intended to optimize the recognition of polymorphisms between Cab and the polymorphic inbred mapping strain Kaga. Here we present a reliable mapping panel, confirmed both by the assignment of the locus responsible for the medaka mutation eyeless/Rx3 to chromosome 12, and by the analysis of its resolution power using representative markers.

Genetic determinants of plasma lipid response to dietary intervention: the role of the APOA1/C3/A4 gene cluster and the APOE gene.

Polymorphisms at the APOA1/C3/A4 gene cluster and the APOE gene have been extensively studied in order to examine their potential association with plasma lipid levels, coronary heart disease risk and more recently with inter-individual variability in response to dietary therapies. Although the results have not been uniform across studies, the current research supports the concept that variation at these genes explains a significant, but still rather small, proportion of the variability in fasting and postprandial plasma lipid responses to dietary interventions. This information constitutes the initial frame to develop panels of genetic markers that could be used to predict individual responsiveness to dietary therapy for the prevention of coronary heart disease. Future progress in this complex area will come from experiments carried out using animal models, and from carefully controlled dietary protocols in humans that should include the assessment of several other candidate gene loci coding for products that play a relevant role in lipoprotein metabolism (i.e. APOB, CETP, LPL, FABP2, SRBI, ABC1 and CYP7).

Detection of Chromosomal Aberrations by a Whole-Genome Microsatellite Screen

Chromosomal aberrations are a common cause of multiple anomaly syndromes that include developmental and growth retardation. Current microscopic techniques are useful for the detection of such aberrations but have a limit of resolution that is above the threshold for phenotypic effect. We hypothesized that a genomewide microsatellite screen could detect chromosomal aberrations that were not detected by standard cytogenetic techniques in a portion of these individuals. To test this hypothesis, we performed a genomewide microsatellite screen of patients, by use of a currently available genetic-marker panel that was originally designed for meiotic mapping of Mendelian traits. We genotyped approximately 400 markers on 17 pairs of parents and their children who had normal karyotypes. By using this approach, we detected and confirmed two cases of segmental aneusomy among 11 children with multiple congenital anomalies. These data demonstrate that a genomewide microsatellite scan can be used to detect chromosomal aberrations that are not detected by microscopic techniques.

Screening for submicroscopic chromosome rearrangements in children with idiopathic mental retardation using microsatellite markers for the chromosome telomeres

Recently much attention has been given to the detection of submicroscopic chromosome rearrangements in patients with idiopathic mental retardation. We have screened 27 subjects with mental retardation and dysmorphic features...