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PubMedDate not supplied

Applications of surface-surface matching algorithms for determination of orthodontic tooth movements.

Orthodontic tooth movements are described as the differences between initial and final tooth positions. A computer based method for determination of tooth movements for different treatment methods was developed. A total of 20 casts of the upper jaw of patients treated with tooth positioners or fixed appliances were used as a basis for this study. Tooth movement was analysed on casts before (Ci) and after treatment (Cf). The casts were digitized either with a COMT or 3D laser scanning systems. After digitization, the models were superimposed in the palate by using a surface-surface matching algorithm. Tooth surfaces of the orthodontically moved teeth were segmented and determination of tooth movement was accomplished by matching the moved teeth from Ci to Cf. The resulting transformations delivered three dimensional information on translations and rotations. An accuracy of 0.2 mm in translations and 1 degree in rotations could be demonstrated, showing the different efficiency of treatment schemes.

Algorithms↗
PubMedDate not supplied

Neuroimaging-genetic paradigms: a new approach to investigate the pathophysiology and treatment of cognitive deficits in schizophrenia.

Cognitive impairment is a prominent and debilitating feature of schizophrenia. Genetic predisposition likely accounts for a large proportion of these cognitive deficits. Direct associations between candidate genes and cognitive dysfunction have been difficult to establish, however, largely due to the subtle effects of these genes on observable behavior. Neuroimaging techniques can provide a sensitive means to bridge the neurobiology of genes and behavior. Here we illustrate the use of neuroimaging-genetics paradigms to elaborate the relationship between genes and cognitive dysfunction in schizophrenia. After reviewing principles important for the selection of genes, neuroimaging techniques, and subjects, we describe how imaging-genetics investigations have helped clarify the contribution of five candidate genes (COMT, GRM3, G72, DISC1, and BDNF) to cognitive deficits in schizophrenia. The potential of this approach for improving patient care will depend on its ability to predict outcomes with greater accuracy and sensitivity than current clinical measures.

Brain↗
PubMed2004

Evolution of the concept of altruistic suicide in pre-Durkheim suicidology.

Suicide as self-sacrifice was described by early nineteenth century authors before the delineation of altruism by the French Philosopher and Mathematician Auguste Comte. The concept evolved, leading to the categorization of altruistic suicide by Savage in England in 1892 and the elaboration of the term by Durkheim in France in 1897. Pre-Durkheim suicidologists were aware of the subtleties of sacrifice as opposed to revenge in this type of suicide.

Journal Article↗
PubMed2004

Violence in male patients with schizophrenia: risk markers in a South African population.

OBJECTIVE: We investigate the role of functional variants in the catecholamine-O-methyl transferase gene (COMT) and the monoamine oxidase-A gene (MOA-A), as well as previously identified non-genetic risk factors in the manifestation of violent behaviour in South African male schizophrenia patients. METHOD: A cohort of 70 acutely relapsed male schizophrenia patients was stratified into violent and non-violent subsets, based on the presence or absence of previous or current violent behaviour. Standardized violence rating scales were also applied and the COMT/NlaIII and MAO-A promoter region variable number of tandem repeats (VNTR) polymorphisms were genotyped. RESULTS: A multiple logistic regression model based on the clinical, genetic and socio-demographic variables indicated that delusions of control (OR = 3.7, 95% CI = 1.21-11.61) and the combined use of cannabis and alcohol (OR = 6.89, 95% CI = 1.28-37.05) were two significant predictors of violent behaviour in this schizophrenia population. No association was found between the tested polymorphisms and violent behaviour. CONCLUSIONS: Although the sample size may have limited power to exclude a minor role for these specific gene variants, such a small contribution would have limited clinical relevance given the strong significance of the non-genetic markers. These findings suggest that currently proactive management of violent behaviour in this schizophrenia population should continue to be based on clinical predictors of violence.

Adult↗
PubMed2005

An entropy-based statistic for genomewide association studies.

Efficient genotyping methods and the availability of a large collection of single-nucleotide polymorphisms provide valuable tools for genetic studies of human disease. The standard chi2 statistic for case-control studies, which uses a linear function of allele frequencies, has limited power when the number of marker loci is large. We introduce a novel test statistic for genetic association studies that uses Shannon entropy and a nonlinear function of allele frequencies to amplify the differences in allele and haplotype frequencies to maintain statistical power with large numbers of marker loci. We investigate the relationship between the entropy-based test statistic and the standard chi2 statistic and show that, in most cases, the power of the entropy-based statistic is greater than that of the standard chi2 statistic. The distribution of the entropy-based statistic and the type I error rates are validated using simulation studies. Finally, we apply the new entropy-based test statistic to two real data sets, one for the COMT gene and schizophrenia and one for the MMP-2 gene and esophageal carcinoma, to evaluate the performance of the new method for genetic association studies. The results show that the entropy-based statistic obtained smaller P values than did the standard chi2 statistic.

Entropy↗
PubMed2006

Multilocus genotypes spanning estrogen metabolism associated with breast cancer and fibroadenoma.

We investigated inherited polymorphic variation in genes spanning estrogen metabolism (10 SNPs [single nucleotide polymorphism]) to distinguish multilocus genotypes associated with breast cancer (n = 393), benign breast lesions (n = 154), and low risk (n = 1936). Three latent classification GoM extreme type groups represented the data: (a) fibroadenoma, and infrequent SRD5A2 and VDR alleles; (b) postmenopausal breast cancer, and infrequent CYP1A1-1 and CYP1A1-2 alleles (both over-represented infrequent alleles for CYP17, CYP19-3, and COMT); and (c) women at intrinsically low risk. Carriage of the respective multilocus genotypes increased risk 25-fold. We conclude that GoM latent classification may be useful to identify genetic risk sets and estimate risk for individuals.

Aged↗
PubMed2001

Biogenesis of Golgi stacks in imaginal discs of Drosophila melanogaster.

We provide a detailed description of Golgi stack biogenesis that takes place in vivo during one of the morphogenetic events in the lifespan of Drosophila melanogaster. In early third-instar larvae, small clusters consisting mostly of vesicles and tubules were present in epithelial imaginal disk cells. As larvae progressed through mid- and late-third instar, these larval clusters became larger but also increasingly formed cisternae, some of which were stacked. In white pupae, the typical Golgi stack was observed. We show that larval clusters are Golgi stack precursors by 1) localizing various Golgi-specific markers to the larval clusters by electron and immunofluorescence confocal microscopy, 2) driving this conversion in wild-type larvae incubated at 37 degrees C for 2 h, and 3) showing that this conversion does not take place in an NSF1 mutant (comt 17). The biological significance of this conversion became clear when we found that the steroid hormone 20-hydroxyecdysone (ecdysone) is critically involved in this conversion. In its absence, Golgi stack biogenesis did not occur and the larval clusters remained unaltered. We showed that dGM130 and sec23p expression increases approximately three- and fivefold, respectively, when discs are exposed to ecdysone in vivo and in vitro. Taken together, these results suggest that we have developed an in vivo system to study the ecdysone-triggered Golgi stack biogenesis.

Animals↗
PubMed2005

Psychiatric genetics--the new era: genetic research and some clinical implications.

Impressive advances in the last decade have been made in the genetics and neuroscience of neuropsychiatric illness. Synergies between complex genetics, elaboration of intermediate phenotypes (Egan et al. (2004) Schizophrenia. London: Blackwell) and novel applications in neuroimaging (Bookheimer et al. (2000) N Engl J Med, 343, 450-456) are revealing the effects of positively associated disease alleles on aspects of neurological function. Genes such as NRG-1, DISC1, RGS4, COMT, PRODH, DTNBP1, G72, DAAO, GRM3 (Harrison and Weinberger (2005) Mol Psychiatry, 10, 40-68) and others have been implicated in schizophrenia along with 5-HTTPR (Ogilvie et al. (1996) Lancet, 347, 731-733; Caspi et al. (2003) Science, 301, 386-389) and BDNF (Geller et al. (2004) Am J Psychiatry, 161, 1698-1700) in affective disorders. As the genetics and complex neurocircuits of these and disorders are being untangled, parallel applications in pharmacogenomics and gene-based drug metabolism are shaping a drive for personalized medicine. Genetic research and pharmacogenomics suggest that the subcategorization of individuals based on various sets of susceptibility alleles will make the treatment of neuropsychiatric and other illnesses more predictable and effective.

Chromosomes, Human↗
PubMed2000

White blood cell DNA adducts and fruit and vegetable consumption in bladder cancer.

The 'Mediterranean diet', a diet rich in cereals, fruit and vegetables, has been associated with lowering the risk of a variety of cancers of the digestive tract and the bladder. In a previous study, we showed that the high phenolic content these dietary components produce in the urine could be associated with higher antimutagenic properties of the urine and lower arylamine-DNA adducts in exfoliated bladder cells. We have conducted a case-control study on 162 bladder cancer patients and 104 hospital controls. Total aromatic DNA adducts were measured in white blood cells (WBC) of all subjects by (32)P-post-labelling. Genetically based metabolic polymorphisms were analysed by PCR-RFLP (NAT2, GSTM1, GSTT1, GSTP1, COMT and NQO1). All subjects were interviewed about their tobacco use, dietary habits and other risk factors. The odds ratio (OR) for the risk of bladder cancer according to the presence/absence of WBC DNA adducts (detection limit 0.1 RALx10(8)) was 3.7 [95% confidence interval (CI) 2.2-6.3] and a dose-response relationship with levels of adducts was apparent. The association between case/control status and the presence of WBC DNA adducts was significantly stronger in the subjects who consumed fewer portions of fruit or vegetables per day (OR 7.80, 95% CI 3.0-20.30 for 0-1 portions of vegetables) than in the heavy consumers (OR 4.98 for consumers of 2 portions daily, OR 1.97 for consumers of > or =3 portions; similar but lower estimates were found for the intake of fruit). No association was noticed between tobacco smoking and WBC DNA adducts. Only NAT-2, among the several genotypes considered, was associated in a statistically significant way with the risk of bladder cancer (OR 1.72, 95% CI 1.03-2.87) and with the levels of WBC DNA adducts. Our report suggests that fruit and vegetables could protect against bladder cancer by inhibiting the formation of DNA adducts.

Case-Control Studies↗
PubMed1987

Covalent binding of estrogen metabolites to hamster liver microsomal proteins: inhibition by ascorbic acid and catechol-O-methyl transferase.

We have studied the irreversible binding of [14C]estradiol to hamster liver and kidney microsomes of castrated hamsters. The binding of estradiol metabolites to kidney microsomes was approximately 25 times lower than seen for liver microsomes, and was not affected by increases in protein or substrate concentration. Our results indicate that this irreversible binding, covalent in nature, is dependent on the metabolism of estrogens to catechols since the absence of NADPH markedly reduces this binding. The irreversible binding was inhibited nearly 70% by addition of catechol-O-methyl transferase (COMT) and S-adenosylmethionine (SAM). Ascorbic acid also inhibited the binding to 85% in a dose-dependent manner. Utilizing a displacement assay to assess the relative covalent binding of different stilbene and steroidal estrogens with homologous radiolabeled hormones, we found that only indenestrol B exhibited greater ability than diethylstilbestrol (DES) to displace [14C]DES from hepatic microsomal proteins. Except for hydroxypropiophenone and beta-dienestrol, all of the stilbene estrogens studied displaced the radioactive DES binding from these liver proteins to a greater extent than estradiol at comparable concentrations. A marked difference was observed in the ability of alpha- and beta-dienestrol to displace [14C]DES. Using radioinert steroidal estrogens to displace [14C]estradiol, we observed that both estriol and deoxoestrone were significantly less effective in displacing radiolabeled estradiol from liver microsomal proteins. Only ethinyl estradiol and 2-hydroxyestradiol displaced greater than 50% of the radioactive hormone at 1-fold excess concentrations. Interestingly, 11 beta-methoxyethinyl estradiol (Moxestrol) exhibited essentially the same ability to bind liver microsomal proteins as estradiol. When estrone and 2,4-dibromoestradiol were used as substrates together, we found the latter compound to be inactive as a substrate for estrogen hydroxylase (ESH) and additionally inhibited the metabolism of estrone to form the catechol metabolite. Data presented herein suggest that the chemically reactive estrogen metabolites responsible for covalent binding of both stilbene and steroidal estrogens are quinoids derived from catechols formed earlier in metabolism. Except for ethinyl estradiol which is a good substrate for liver, but not kidney microsomal ESH, the carcinogenicity data for the hamster kidney with respect to these estrogens is consistent with the covalent binding data presented.

Animals↗
PubMed2005

Tea and circulating estrogen levels in postmenopausal Chinese women in Singapore.

The role of tea in the etiology of breast cancer is controversial. We recently provided the first set of human evidence that breast cancer risk is significantly inversely associated with tea intake, largely confined to intake of green tea. Since black tea and green tea possess comparable levels of the total tea polyphenols that possess antioxidative activities, reasons for the paradoxical effects of green tea and black tea on breast cancer protection are not apparent. Some limited evidence suggests that green tea may have downregulatory effects on circulating sex-steroid hormones, whereas black tea may have upregulatory effects. We therefore, investigated the relationship between tea intake, and plasma estrogen and androstenedione levels in a cross-sectional study of healthy postmenopausal Chinese women in Singapore. In this group of 130 women, 84 were non or irregular (less than once a week) tea drinkers, 27 were regular (weekly/daily) green tea drinkers and 19 were regular (weekly/daily) black tea drinkers. Relative to plasma estrone levels in non- or irregular tea drinkers (29.5 pg/ml) the levels were 13% lower in regular green tea drinkers (25.8 pg/ml) and 19% higher in regular black tea drinkers (35.0 pg/ml). These differences in estrone levels were statistically significant (P = 0.03) inspite of adjusting for age, body mass index, intake of soy, and other covariates. A similar pattern of differences between tea intake, and plasma levels of estradiol (P = 0.08) and androstenedione (P = 0.14) were found. In addition, the tea-estrogen associations were observed irrespective of the genotype of catechol-O-methyltransferase (COMT), a major enzyme that aids in the excretion of tea polyphenols in humans. Larger studies are needed to confirm results from this cross-sectional study and to better understand the potentially differing effect of black and green tea on circulating estrogen levels and ultimately on the risk of breast cancer.

Aged↗
PubMed2006

Multi-factor dimensionality reduction applied to a large prospective investigation on gene-gene and gene-environment interactions.

It is becoming increasingly evident that single-locus effects cannot explain complex multifactorial human diseases like cancer. We applied the multi-factor dimensionality reduction (MDR) method to a large cohort study on gene-environment and gene-gene interactions. The study (case-control nested in the EPIC cohort) was established to investigate molecular changes and genetic susceptibility in relation to air pollution and environmental tobacco smoke (ETS) in non-smokers. We have analyzed 757 controls and 409 cases with bladder cancer (n=124), lung cancer (n=116) and myeloid leukemia (n=169). Thirty-six gene variants (DNA repair and metabolic genes) and three environmental exposure variables (measures of air pollution and ETS at home and at work) were analyzed. Interactions were assessed by prediction error percentage and cross-validation consistency (CVC) frequency. For lung cancer, the best model was given by a significant gene-environment association between the base excision repair (BER) XRCC1-Arg399Gln polymorphism, the double-strand break repair (DSBR) BRCA2-Asn372His polymorphism and the exposure variable 'distance from heavy traffic road', an indirect and robust indicator of air pollution (mean prediction error of 26%, P<0.001, mean CVC of 6.60, P=0.02). For bladder cancer, we found a significant 4-loci association between the BER APE1-Asp148Glu polymorphism, the DSBR RAD52-3'-untranslated region (3'-UTR) polymorphism and the metabolic gene polymorphisms COMT-Val158Met and MTHFR-677C>T (mean prediction error of 22%, P<0.001, mean CVC consistency of 7.40, P<0.037). For leukemia, a 3-loci model including RAD52-2259C>T, MnSOD-Ala9Val and CYP1A1-Ile462Val had a minimum prediction error of 31% (P<0.001) and a maximum CVC of 4.40 (P=0.086). The MDR method seems promising, because it provides a limited number of statistically stable interactions; however, the biological interpretation remains to be understood.

Drug Resistance, Multiple↗
PubMed1993

Comparative mapping of 9 human chromosome 22q loci in the laboratory mouse.

We present a comparative map of genes on human chromosome 22q and homologous loci in the mouse genome. Gene order in humans was established using a panel of somatic cell hybrids. Genetic maps spanning homologous segments on three mouse chromosomes were generated using an interspecific backcross. The conserved linkage between human chromosome 22 and mouse chromosome 16 includes two closely linked loci, Comt and IgI-1. The second conserved linkage involves human chromosome 22 and mouse chromosome 11 and contains two genetically and physically linked loci, Lif and Nfh. Finally, conserved synteny involving mouse chromosome 15 and human chromosome 22 spans 30 cM and contains five loci (Acr, Bzrp, Dia-1, Il2rb and Pdgfb). Loci within this conserved synteny have been sublocalized to different portions of human chromosome 22. The order of genes on mouse chromosome 15 and human chromosome 22 provides further evidence for chromosomal rearrangements within the conserved synteny that have occurred since the divergence of lineages leading to mice and humans.

Animals↗
PubMed2003

Recent advances in the genetics of schizophrenia.

The high heritability of schizophrenia has stimulated much work aimed at identifying susceptibility genes using positional genetics. As a result, several strong and well-established linkages have emerged. Three of the best-supported regions are 6p24-22, 1q21-22 and 13q32-34 where single studies have achieved genome-wide significance at P<0.05 and suggestive positive findings have also been reported in other samples. Other promising regions include 8p21-22, 6q21-25, 22q11-12, 5q21-q33, 10p15-p11 and 1q42. Recently, evidence implicating individual genes within some of the linked regions has been reported and more importantly replicated. Currently, the weight of evidence supports NRG1 and DTNBP1 as schizophrenia susceptibility loci, though work remains before we understand precisely how genetic variation at each locus confers susceptibility and protection. The evidence for COMT, RGS4 and G72 is promising but not yet persuasive. While it is essential that further replications are established, the respective contributions of each gene, relationships with aspects of the phenotype, the possibility of epistatic interactions between genes and functional interactions between the gene products will all need investigation. The ability of positional genetics to implicate novel genes and pathways will open up new vistas for neurobiological research, and all the signs are that genetic research is poised to deliver crucial insights into the nature of schizophrenia.

Carrier Proteins↗
PubMed2005

Estrogen-metabolizing gene polymorphisms and age at natural menopause in Caucasian women.

BACKGROUND: Lifestyle parameters, personal history and genetic factors are thought to affect the timing of natural menopause in humans. Based on their biological function, estrogen-metabolizing gene polymorphisms have been regarded as candidate genes for early menopause. METHODS: In the present cross-sectional, multi-centre study, we analysed nine single nucleotide polymorphisms of six estrogen-metabolizing genes [three estrogen-synthesizing genes, i.e. 17-beta-hydroxysteroid dehydrogenase type 1 (17-beta HSD), cytochrome P-450 (CYP) 17 and CYP19; and three estrogen-inactivating genes, i.e. catechol-O-methyltransferase (COMT), CYP1A1 and CYP1B1] by sequencing-on-chip-technology in 1360 Caucasian women with natural menopause. Women's lifestyle parameters, reproductive and personal histories were ascertained. RESULTS: Carriage of at least one mutant allele of the CYP1B1-4 Asn453Ser A--> G polymorphism (P = 0.004) and the number of full-term pregnancies (P < 0.001) were found to be independently associated with age at natural menopause. Women with at least one polymorphic allele of CYP1B1-4 experienced natural menopause earlier than non-carriers of the polymorphism [mean (SD) 48.6 (5.0) versus 49.4 (4.3) years]. Women with no, one, two and three or more full-term pregnancies experienced natural menopause at 48.5 (5.0), 48.8 (4.8), 49.5 (4.2) and 49.6 (4.6) years, respectively. CONCLUSION: We present the most comprehensive data on estrogen-metabolizing gene polymorphisms and timing of natural menopause to date. The number of full-term pregnancies and the CYP1B1-4 polymorphism are significant predictors of timing of natural menopause in Caucasian women.

Adult↗
PubMed2004

Polymorphisms associated with circulating sex hormone levels in postmenopausal women.

BACKGROUND: Reports suggest a relationship between circulating sex hormone levels and breast cancer risk, but genetic association studies have been inconclusive. We investigated the association between levels of sex hormones and single nucleotide polymorphisms (SNPs) in genes coding for the enzymes that regulate them. METHODS: We assayed circulating levels of estradiol, testosterone, estrone, androstenedione, 17alpha-hydroxyprogesterone, and sex hormone-binding globulin (SHBG) in 1975 normal postmenopausal women. Fifteen SNPs in the CYP17, CYP19, EDH17B2, SHBG, COMT, and CYP1B1 genes were genotyped in these postmenopausal women and in a breast cancer case-control study. Associations of genotypes with breast cancer risk were evaluated in the case-control study and with hormone levels in the postmenopausal women using multiple linear regression with assay batch, body mass index, parity, peri- or postmenopausal status, and age band as covariates. RESULTS: CYP19 SNPs (rs10046 and [TCT]+/-) were associated with differences in estradiol level (P =.0006 and P =.0003, respectively) and the estradiol : testosterone ratio (P =.000001() and P =.002). SNP rs10046 explained 1.6% of the variance (r2) in the estradiol : testosterone ratio. SHBG SNPs (5' untranslated region [5'UTR] g-a and D356N) were associated with both SHBG levels (P<10(-6) and P =.005) and the estradiol : SHBG ratio (P =().000008() and P =.01). These SNPs explained 2.4% and 0.6% of the variance in SHBG levels, respectively. SNPs in the other genes were not associated with differences in any hormone levels, and none were statistically significantly associated with breast cancer risk. CONCLUSION: Genetic variation in CYP19 and SHBG contributes to variance in circulating hormone levels between postmenopausal women, but low r2 values may explain why these genes have given inconclusive results in breast cancer case-control studies.

17-alpha-Hydroxyprogesterone↗
PubMed2006

Estrogen sulfation genes, hormone replacement therapy, and endometrial cancer risk.

BACKGROUND: Unopposed estrogen replacement therapy is associated with increased risk of endometrial cancer. To investigate the mechanism of this association, we evaluated whether risk of endometrial cancer was associated with the genotypes involved in steroid hormone metabolism and the duration of exogenous hormone use. METHODS: A population-based case-control study in nine counties of the Philadelphia metropolitan area was undertaken with 502 case patients with endometrial cancer and 1326 age- and race-matched control subjects. Data regarding exogenous hormone use were obtained by interview, and genotypes of the genes COMT, CYP1A1, CYP1A2, CYP1B1, CYP3A4, PGR, SULT1A1, SULT1E1, and UGT1A1 were obtained by polymerase chain reaction techniques. Conditional logistic regression was used to examine the relationship among genotype, hormone use, and endometrial cancer risk. RESULTS: Associations were observed between the risk of endometrial cancer and genotypes of the following steroid hormone metabolism genes: CYP1A1*2C (adjusted odds ratio [OR] = 1.68, 95% confidence interval [CI] = 1.08 to 2.61); SULT1A1*3 (adjusted OR = 0.51, 95% CI = 0.29 to 0.92); and the G --> A variant in the promoter of SULT1E1 at position -64 (adjusted OR = 1.45, 95% CI = 1.06 to 1.99). We observed a statistically significant interaction between estrogen replacement therapy use and SULT1A1*2 genotype: the SULT1A1*2 allele and long-term use of estrogen replacement therapy were associated with statistically significantly higher risk of endometrial cancer (adjusted OR = 3.85, 95% CI = 1.48 to 10.00) than that of the SULT1A1*2 allele and no estrogen replacement therapy use. CONCLUSIONS: Among women with long-term use of estrogen replacement therapy or combined hormone replacement therapy, the risk of endometrial cancer may be associated with functionally relevant genotypes that regulate steroid hormone sulfation.

Aryl Hydrocarbon Hydroxylases↗
PubMed2006

Microarray-based DNA methylation profiling: technology and applications.

This work is dedicated to the development of a technology for unbiased, high-throughput DNA methylation profiling of large genomic regions. In this method, unmethylated and methylated DNA fractions are enriched using a series of treatments with methylation sensitive restriction enzymes, and interrogated on microarrays. We have investigated various aspects of the technology including its replicability, informativeness, sensitivity and optimal PCR conditions using microarrays containing oligonucleotides representing 100 kb of genomic DNA derived from the chromosome 22 COMT region in addition to 12 192 element CpG island microarrays. Several new aspects of methylation profiling are provided, including the parallel identification of confounding effects of DNA sequence variation, the description of the principles of microarray design for epigenomic studies and the optimal choice of methylation sensitive restriction enzymes. We also demonstrate the advantages of using the unmethylated DNA fraction versus the methylated one, which substantially improve the chances of detecting DNA methylation differences. We applied this methodology for fine-mapping of methylation patterns of chromosomes 21 and 22 in eight individuals using tiling microarrays consisting of over 340 000 oligonucleotide probe pairs. The principles developed in this work will help to make epigenetic profiling of the entire human genome a routine procedure.

Chromosome Mapping↗