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E Lander

Publications and source records attributed to E Lander.

18 recordsLinked to original sources
PubMed2004

Genome-wide scan in Portuguese Island families identifies 5q31-5q35 as a susceptibility locus for schizophrenia and psychosis.

Schizophrenia is a common psychiatric disorder with a complex genetic etiology. To understand the genetic basis of this syndrome in Portuguese Island populations, we performed a genome-wide scan of 29 families with schizophrenia, which identified a single region on 5q31-5q35 with strong linkage (NPL=3.09, P=0.0012 at D5S820). Empirical simulations set a genome-wide threshold of NPL=3.10 for significant linkage. Additional support for this locus in schizophrenia comes from higher-density mapping and mapping of 11 additional families. The combined set of 40 families had a peak NPL=3.28 (P=0.00066) at markers D5S2112-D5S820. These data and previous linkage findings from other investigators provide strong and consistent evidence for this genomic region as a susceptibility locus for schizophrenia. Exploratory analyses of a novel phenotype, psychosis, in families with schizophrenia and bipolar disorder detected evidence for linkage to the same markers as found in schizophrenia (peak NPL=3.03, P=0.0012 at D5S820), suggesting that this locus may be responsible for the psychotic symptoms observed in both diseases. Molecular Psychiatry (2004) 9, 213-218. doi:10.1038/sj.mp.4001418 Published online 30 December 2003

Azores↗
PubMed2001

Loss of genomic methylation causes p53-dependent apoptosis and epigenetic deregulation.

Cytosine methylation of mammalian DNA is essential for the proper epigenetic regulation of gene expression and maintenance of genomic integrity. To define the mechanism through which demethylated cells die, and to establish a paradigm for identifying genes regulated by DNA methylation, we have generated mice with a conditional allele for the maintenance DNA methyltransferase gene Dnmt1. Cre-mediated deletion of Dnmt1 causes demethylation of cultured fibroblasts and a uniform p53-dependent cell death. Mutational inactivation of Trp53 partially rescues the demethylated fibroblasts for up to five population doublings in culture. Oligonucleotide microarray analysis showed that up to 10% of genes are aberrantly expressed in demethylated fibroblasts. Our results demonstrate that loss of Dnmt1 causes cell-type-specific changes in gene expression that impinge on several pathways, including expression of imprinted genes, cell-cycle control, growth factor/receptor signal transduction and mobilization of retroelements.

Alleles↗
PubMed2001

Molecular classification of multiple tumor types.

Using gene expression data to classify tumor types is a very promising tool in cancer diagnosis. Previous works show several pairs of tumor types can be successfully distinguished by their gene expression patterns (Golub et al. 1999, Ben-Dor et al. 2000, Alizadeh et al. 2000). However, the simultaneous classification across a heterogeneous set of tumor types has not been well studied yet. We obtained 190 samples from 14 tumor classes and generated a combined expression dataset containing 16063 genes for each of those samples. We performed multi-class classification by combining the outputs of binary classifiers. Three binary classifiers (k-nearest neighbors, weighted voting, and support vector machines) were applied in conjunction with three combination scenarios (one-vs-all, all-pairs, hierarchical partitioning). We achieved the best cross validation error rate of 18.75% and the best test error rate of 21.74% by using the one-vs-all support vector machine algorithm. The results demonstrate the feasibility of performing clinically useful classification from samples of multiple tumor types.

Algorithms↗
PubMed1999

BB rat diabetes susceptibility and body weight regulation genes colocalize on chromosome 2.

The genetic etiology of Type 1 (insulin-dependent) diabetes mellitus is complicated by the apparent presence of several diabetes susceptibility genetic regions. Type 1 diabetes in the inbred BioBreeding (BB) rat closely resembles the human disorder and was previously shown to involve two genes: the lymphopenia (lyp) region on Chromosome (Chr) 4 and RT1(u) in the major histocompatibility complex (MHC) on Chr 20. In addition, a segregation analysis of an F(2) intercross between the diabetes-prone congenic BB DR(lyp/lyp, u/u) and F344(+/+,)(lv/lv) rats indicated that at least one more genetic factor was responsible for Type 1 diabetes. In this study, we generated F(2)N(2) progeny in a cross between non-diabetic F(2)(DR(lyp/lyp,u/u) x F344)(lyp/lyp,u/u) and diabetic DR(lyp/lyp, u/u) rats. In a subsequent total genome scan, a third factor was mapped to the 21.3-cM region on Chr 2 between D2Mit14 and D2Mit15 (peak LOD score 4.7 with 67% penetrance). Interestingly, the homozygosity of the BB allele (b/b) for the Chr 2 region was significantly associated with a greater weight reduction after fasting than the homozygosity of the F344 allele (f/f, p < 0.008). In conclusion, the development of Type 1 diabetes in the congenic DR(lyp/lyp) rat is controlled by at least three genes: lymphopenia, MHC, and a third factor that may play a role in metabolism and body weight regulation.

Animals↗
PubMed1999

Androgen metabolism and prostate cancer: establishing a model of genetic susceptibility.

The prostate is an androgen-regulated organ, which has led to longstanding interest in the role of androgens in prostate carcinogenesis. Although evidence of a hormonal etiology for prostate cancer is strong, it is almost entirely circumstantial. Much of the problem in proving a causal relationship relates to the continued difficulties in reliably measuring human tissue-specific exposure to endogenous steroid hormones. The international and racial-ethnic variations in prostate cancer incidence, combined with the effects of migration on risk patterns, have suggested that genetic factors play a central role in determining prostate cancer risk. We are developing a polygenic model of prostate carcinogenesis, focused around a series of genes involved in androgen biosynthesis, transport and metabolism. We have begun to develop this model by utilizing sequence variants to study how polymorphic markers in two genes (SRD5A2 and AR) are related to prostate cancer risk within and between racial-ethnic groups. We are now collaborating with the Whitehead Institute/MIT, Center for Genome Research, to screen for single nucleotide polymorphisms in additional genes relevant to the androgen pathway and prostate cell growth. The model when fully developed can potentially provide a basis for targeting populations for screening interventions and for implementing primary preventive strategies.

Androgens↗
PubMed1998

Familial eosinophilia maps to the cytokine gene cluster on human chromosomal region 5q31-q33.

Familial eosinophilia (FE) is an autosomal dominant disorder characterized by peripheral hypereosinophilia of unidentifiable cause with or without other organ involvement. To localize the gene for FE, we performed a genomewide search in a large U.S. kindred, using 312 different polymorphic markers. Seventeen affected subjects, 28 unaffected bloodline relatives, and 8 spouses were genotyped. The initial linkage results from the genome scan provided evidence for linkage on chromosome 5q31-q33. Additional genotyping of genetic markers located in this specific region demonstrated significant evidence that the FE locus is situated between the chromosome 5q markers D5S642 and D5S816 (multipoint LOD score of 6.49). Notably, this region contains the cytokine gene cluster, which includes three genes-namely, those for interleukin (IL)-3, IL-5, and granulocyte/macrophage colony-stimulating factor (GM-CSF)-whose products play important roles in the development and proliferation of eosinophils. These three cytokine genes were screened for potential disease-specific mutations by resequencing of a subgroup of individuals from the present kindred. No functional sequence polymorphisms were found within the promoter, the exons, or the introns of any of these genes or within the IL-3/GM-CSF enhancer, suggesting that the primary defect in FE is not caused by a mutation in any one of these genes but, rather, is caused by another gene in the area.

Adolescent↗
PubMed1997

FISH probes for mouse chromosome identification.

P1 clones near the telomeres and centromeres of each mouse chromosome except Y have been selected from a mouse genomic library and mapped using fluorescence in situ hybridization (FISH). Each clone was selected to contain a genetically mapped polymorphic DNA sequence as close as possible to the centromere or telomere of a chromosome. The genetic distance from the various P1 clones to the most distal genetically mapped polymorphic sequence ranged from 0 for about half of the clones to 6.7 cM for the probe at the telomere of chromosome 14. The average distance to the most distal or proximal chromosome marker was 1.5 cM. The use of FISH with these probes for mouse chromosome identification during comparative genomic hybridization is illustrated.

Animals↗
PubMed1997

Characterization of the MODY3 phenotype. Early-onset diabetes caused by an insulin secretion defect.

Maturity-onset diabetes of the young (MODY) type 3 is a dominantly inherited form of diabetes, which is often misdiagnosed as non-insulin-dependent diabetes mellitus (NIDDM) or insulin-dependent diabetes mellitus (IDDM). Phenotypic analysis of members from four large Finnish MODY3 kindreds (linked to chromosome 12q with a maximum lod score of 15) revealed a severe impairment in insulin secretion, which was present also in those normoglycemic family members who had inherited the MODY3 gene. In contrast to patients with NIDDM, MODY3 patients did not show any features of the insulin resistance syndrome. They could be discriminated from patients with IDDM by lack of glutamic acid decarboxylase antibodies (GAD-Ab). Taken together with our recent findings of linkage between this region on chromosome 12 and an insulin-deficient form of NIDDM (NIDDM2), the data suggest that mutations at the MODY3/NIDDM2 gene(s) result in a reduced insulin secretory response, that subsequently progresses to diabetes and underlines the importance of subphenotypic classification in studies of diabetes.

Adult↗
PubMed1997

Building human genome maps with radiation hybrids.

Genome maps are crucial tools in human genetic research, providing known landmarks for locating disease genes and frameworks for large-scale sequencing. Radiation hybrid mapping is one technique for building genome maps. In this paper, we describe the methods used to build radiation hybrid maps of the entire human genome. We present the hidden Markov model that we employ to estimate the likelihood of a map despite uncertainty about the data, and we discuss the problem of searching for maximum-likelihood maps. We describe the graph algorithms used to find sparse but reliable initial maps and our methods of extending them. Finally, we show results validating our software on simulated data, and we describe our genome-wide human radiation hybrid maps and the evidence supporting them.

Chromosome Mapping↗
PubMed1995

Genetic dissection of complex traits: guidelines for interpreting and reporting linkage results.

Genetic studies are under way for many complex traits, spurred by the recent feasibility of whole genome scans. Clear guidelines for the interpretation of linkage results are needed to avoid a flood of false positive claims. At the same time, an overly cautious approach runs the risk of causing true hints of linkage to be missed. We address this problem by proposing specific standards designed to maintain rigor while also promoting communication.

Genetic Linkage↗
PubMed1993

Localization of the EPM1 gene for progressive myoclonus epilepsy on chromosome 21: linkage disequilibrium allows high resolution mapping.

The gene for Progressive myoclonus epilepsy of Unverricht-Lundborg type (EPM1) has previously been mapped by linkage to markers on chromosome 21q22.3. By analyzing crossover events in multiplex disease families with newly detected markers from the region we were able to narrow the localization of EPM1 to an interval of approximately 7 cM, between loci D21S212 and CD18. To further refine the localization of the EPM1 gene we applied linkage disequilibrium mapping in 38 Finnish families, consisting of 12 with multiple affected children and 26 with a single affected child. Based on existing knowledge about the structure and history of the isolated Finnish population, we estimated genetic distances based on strong linkage disequilibrium to several marker loci and found that EPM1 resides within 0.3 cM or less of loci PFKL, D21S25 and D21S154. As this genetic distance translates into a likely physical distance of 300 kb or less, these data provide a basis for highly focused attempts to clone EPM1.

Alleles↗
PubMed1992

Parametric sequence comparisons.

Current algorithms can find optimal alignments of two nucleic acid or protein sequences, often by using dynamic programming. While the choice of algorithm penalty parameters greatly influences the quality of the resulting alignments, this choice has been done in an ad hoc manner. In this work, we present an algorithm to efficiently find the optimal alignments for all choices of the penalty parameters. It is then possible to systematically explore these alignments for those with the most biological or statistical interest. Several examples illustrate the method.

Algorithms↗
PubMed1992

Linkage disequilibrium mapping in isolated founder populations: diastrophic dysplasia in Finland.

Linkage disequilibrium mapping in isolated populations provides a powerful tool for fine structure localization of disease genes. Here, Luria and Delbrück's classical methods for analysing bacterial cultures are adapted to the study of human isolated founder populations in order to estimate (i) the recombination fraction between a disease locus and a marker; (ii) the expected degree of allelic homogeneity in a population; and (iii) the mutation rate of marker loci. Using these methods, we report striking linkage disequilibrium for diastrophic dysplasia (DTD) in Finland indicating that the DTD gene should lie within 0.06 centimorgans (or about 60 kilobases) of the CSF1R gene. Predictions about allelic homogeneity in Finland and mutation rates in simple sequence repeats are confirmed by independent observations.

Base Sequence↗
PubMed1989

A mutation in the insulin receptor gene that impairs transport of the receptor to the plasma membrane and causes insulin-resistant diabetes.

Insulin binds to a receptor on the cell surface, thereby triggering a biological response within the target cell. Mutations in the insulin receptor gene can render the cell resistant to the biological action of insulin. We have studied a family in which two sisters have a genetic form of insulin-resistant diabetes mellitus. The technique of homozygosity mapping has been used to demonstrate that the mutation causing diabetes in this consanguineous family is genetically linked to the insulin receptor gene. The two insulin-resistant sisters are homozygous for a mutation encoding substitution of valine for phenylalanine at position 382 in the alpha-subunit of the insulin receptor. Transfection of mutant insulin receptor cDNA into NIH3T3 cells demonstrated that the Val382 mutation impaired post-translational processing and retarded transport of the insulin receptor to the plasma membrane. Thus, the mutation causes insulin resistance by decreasing the number of insulin receptors on the surface of the patients' cells.

Cells, Cultured↗
PubMed1987

Genetic linkage map of human chromosome 7 with 63 DNA markers.

High-density genetic maps of individual human chromosomes will permit accurate localization of disease-associated genes and provide signposts that will be useful in the construction of physical maps. We have constructed a genetic map of chromosome 7 with 63 polymorphic DNA markers by using segregation data from 23 three-generation families and recently developed multilocus linkage-analysis techniques. The map spans 250 centimorgans in females and 170 centimorgans in males, with much of the difference being concentrated in a few intervals. The density and informativeness of the markers are such that there is a high probability of detecting linkage to any disease gene on this chromosome for which 20 phase-known meioses are available.

Chromosome Mapping↗