Search PubMed⌕ Search

Biomedical subjects

E S Lander

Publications and source records attributed to E S Lander.

At least 127 records · Page 7Linked to original sources

Positional cloning of the nude locus: genetic, physical, and transcription maps of the region and mutations in the mouse and rat.

Mutations in the nude locus in mice and rats produce the pleiotropic phenotype of hairlessness and athymia, resulting in severely compromised immune system. To identify the causative gene, we utilized modern tools and techniques of positional cloning. Specifically, spanning the region in which the nude locus resides, we constructed a genetic map of polymorphic markers, a physical map of yeast artificial chromosomes and bacteriophage P1 clones, and a transcription map of genes obtained by direct cDNA selection and exon trapping. We identified seven novel transcripts with similarity to genes from Drosophila, Caenorhabditis elegans, rat, or human and three previously identified mouse genes. Based on our transcription mapping results, we present a novel approach to estimate the number of genes in a region and estimate that the nude locus resides in a region approximately threefold enriched for genes. We confirm a recently published report that the nude phenotype is caused by mutations in a gene encoding a novel winged helix or fork head domain transcription factor, whn (Nehls et al., Nature 372: 103-107, 1994). We report as well the mutations in the rat rnu allele and the complete coding sequence of the rat whn mRNA.

Amino Acid Sequence↗

Lgn1, a gene that determines susceptibility to Legionella pneumophila, maps to mouse chromosome 13.

The intracellular pathogen Legionella pneumophila is unable to replicate in macrophages derived from most inbred mouse strains. Here, we report the mapping of a gene, called Lgn1, that determines whether mouse macrophages are permissive for the intracellular replication of L. pneumophila. Although Lgn1 has been previously reported to map to mouse chromosome 15, we show here that it actually maps to chromosome 13, between D13Mit128 and D13Mit70. In the absence of any regional candidates for Lgn1, this map position will facilitate positional cloning attempts directed at this gene.

Animals↗

Genetic map of rat chromosome 5 including the fatty (fa) locus.

Thirteen loci, including the obesity gene fatty (fa), were incorporated into a linkage map of rat Chromosome (Chr) 5. These loci were mapped in obese (fa/fa) progeny of a cross between BN x 13M-fal+F1 animals. Obese rats were scored for BN and 13M alleles at four loci (Ifna, D1S85h, C8b, and Lck1) by restriction fragment length polymorphisms and at eight additional loci (Glut1, Sv4j2, R251, R735, R980, R252, R371, and R1138) by simple sequence length polymorphisms (SSLP). The resulting map spans 67.3 cM of Chr5, presenting nine previously unmapped loci and one locus (Lck1) previously assigned to Chr 5 by use of somatic cell hybrid lines. Seven of the eight SSLP loci are newly identified; the SSLP linkage group alone spans 56.8 cM. The order of the loci is Sv4j2-R251-R735-R980-R1138-Ifna-fa-+ ++D1S85h-C8b-(Glut1-R252-R371)-Lck1. One locus, D1S85h, was found to lie only 0.4 cM from fa, close enough to serve as a reliable marker for the prediction of phenotype from genotype, and will be useful also for studies on the development of obesity in the fatty rat.

Alleles↗

Thyroiditis in the BB rat is associated with lymphopenia but occurs independently of diabetes.

The spontaneously diabetic BB rat is an excellent and well studied model for human insulin-dependent diabetes (IDDM), sharing many important features with the human disease. Similarities include an equal frequency of IDDM in males and females, production of antibodies against pancreatic cell antigens, and an MHC disease association. In addition, the BB rat shares with human IDDM patients an increased frequency of autoantibodies against the parietal cells of the stomach and colloid cells of the thyroid gland. Here we investigate the genetic basis of thyroiditis in the BB rat. Based on crosses between BB, Lewis and Fischer rats, we show that two susceptibility factors for diabetes--the lymphopenia trait present in diabetes prone BB rats and the MHC--also appear to be risk factors for thyroiditis. However, the nature of the susceptibility was different for the two autoimmune diseases, with lymphopenia being absolutely required for diabetes although it only conferred increased risk for thyroiditis. Also, in contrast to IDDM, the MHC conferred dominant susceptibility to thyroiditis. Despite these shared risk factors, diabetes per se did not show significant correlation with thyroiditis.

Animals↗

Quantitative locus analysis of airway hyperresponsiveness in A/J and C57BL/6J mice.

Airway hyperresponsiveness is a key characteristic of human asthma and a marker for asthma-like conditions in animals. F1 mice derived from A/J and C57BL/6J display a phenotype which resembles the asthma-like phenotype of the A/J mice. Since airway responsiveness failed to segregate as a mendelian trait, we show significant linkage at two loci, Bhr1 (lod = 3.0) and Bhr2 (lod = 3.7) on chromosomes 2 and 15. A third locus, Bhr3 (lod = 2.83), maps to chromosome 17. Each of these loci maps near candidate loci implicated in the pathobiology of asthma. Our study represents the first linkages established through a genome-wide survey of airway hyperresponsiveness in any mammal.

Analysis of Variance↗

A nonparametric approach for mapping quantitative trait loci.

Genetic mapping of quantitative trait loci (QTLs) is performed typically by using a parametric approach, based on the assumption that the phenotype follows a normal distribution. Many traits of interest, however, are not normally distributed. In this paper, we present a nonparametric approach to QTL mapping applicable to any phenotypic distribution. The method is based on a statistic ZW, which generalizes the nonparametric Wilcoxon rank-sum test to the situation of whole-genome search by interval mapping. We determine the appropriate significance level for the statistic ZW, by showing that its asymptotic null distribution follows an Ornstein-Uhlenbeck process. These results provide a robust, distribution-free method for mapping QTLs.

Animals↗

A biometrical genome search in rats reveals the multigenic basis of blood pressure variation.

A genome-wide search for multiple loci influencing salt-loaded systolic blood pressure (NaSBP) variation among 188 F2 progeny from a cross between the Brown-Norway and spontaneously hypertensive rat strains was pursued in an effort to gain insight into the polygenic basis of blood pressure regulation. The results suggest that loci within five to six genomic regions collectively explain approximately 43% of the total NaSBP variation exhibited among the 188 F2 progeny. Many of these loci are in regions that previous studies have not implicated in blood pressure regulation. Ultimately, however, this study not only sheds light on the multigenic basis of blood pressure but provides further evidence that the identification of the genetic determinants of polygenic traits in mammals is possible with modern biometrical and molecular genetic tools in controlled settings (i.e., breeding paradigm and model organism).

Animals↗

Complete multipoint sib-pair analysis of qualitative and quantitative traits.

Sib-pair analysis is an increasingly important tool for genetic dissection of complex traits. Current methods for sib-pair analysis are primarily based on studying individual genetic markers one at a time and thus fail to use the full inheritance information provided by multipoint linkage analysis. In this paper, we describe how to extract the complete multipoint inheritance information for each sib pair. We then describe methods that use this information to map loci affecting traits, thereby providing a unified approach to both qualitative and quantitative traits. Specifically, complete multipoint approaches are presented for (1) exclusion mapping of qualitative traits; (2) maximum-likelihood mapping of qualitative traits; (3) information-content mapping, showing the extent to which all inheritance information has been extracted at each location in the genome; and (4) quantitative-trait mapping, by two parametric methods and one nonparametric method. In addition, we explore the effects of marker density, marker polymorphism, and availability of parents on the information content of a study. We have implemented the analysis methods in a new computer package, MAPMAKER/SIBS. With this computer package, complete multipoint analysis with dozens of markers in hundreds of sib pairs can be carried out in minutes.

Chromosome Mapping↗

High-resolution genetic mapping of complex traits.

Positional cloning requires high-resolution genetic mapping. To plan a positional cloning project, one needs to know how many informative meioses will be required to narrow the search for a disease gene to an acceptably small region. For a simple Mendelian trait studied with linkage analysis, the answer is straightforward. In this paper, we address the situation of a complex trait studied with affected-relative-pair methods. We derive mathematical formulas for the size of an appropriate confidence region, as a function of the relative risk attributable to the gene. Using these results, we provide graphs showing the number of relative pairs required to narrow the gene hunt to an interval of a given size. For example, we show that localizing a gene to 1 cM requires a median of 200 sib pairs for a locus causing a fivefold increased risk to an offspring and 700 sib pairs for a locus causing a twofold increased risk. We discuss the implications of these results for the positional cloning of genes underlying complex traits.

Alleles↗

Rapid multipoint linkage analysis of recessive traits in nuclear families, including homozygosity mapping.

Homozygosity mapping is a powerful strategy for mapping rare recessive traits in children of consanguineous marriages. Practical applications of this strategy are currently limited by the inability of conventional linkage analysis software to compute, in reasonable time, multipoint LOD scores for pedigrees with inbreeding loops. We have developed a new algorithm for rapid multipoint likelihood calculations in small pedigrees, including those with inbreeding loops. The running time of the algorithm grows, at most, linearly with the number of loci considered simultaneously. The running time is not sensitive to the presence of inbreeding loops, missing genotype information, and highly polymorphic loci. We have incorporated this algorithm into a software package, MAPMAKER/HOMOZ, that allows very rapid multipoint mapping of disease genes in nuclear families, including homozygosity mapping. Multipoint analysis with dozens of markers can be carried out in minutes on a personal workstation.

Algorithms↗

Allelotype analysis of mouse lung carcinomas reveals frequent allelic losses on chromosome 4 and an association between allelic imbalances on chromosome 6 and K-ras activation.

We generated allelotypes of 38 methylene chloride-induced lung carcinomas from female C57BL/6J x C3H/6J F1 (hereafter called B6C3F1) mice. Two or more polymorphic markers per autosome, most of them microsatellites, were examined for loss of heterozygosity. Allelic losses throughout the genome were generally infrequent except for markers on chromosome 4, which were lost in approximately one-half of the carcinomas. Analysis of lung adenomas indicated that chromosome 4 loss was associated with malignant conversion. In addition, chromosome 4 loss were specific for lung carcinomas based on comparison to methylene chloride-induced liver tumors and additional studies of lung tumors from a variety of treatment protocols and different mouse strains. Preferential loss of the maternal chromosome 4 was observed in B6C3F1 carcinomas. Analyses of additional tumors induced in mice from two reciprocal crosses, A/J x C3H/HeJ F1 (hereafter called AC3F1) and C3H/HeJ x A/J F1 (hereafter called C3AF1), provided evidence for the inactivation of one allele of the putative chromosome 4 tumor suppressor gene by parental imprinting. Most B6C3F1 tumors lost all chromosome 4 markers examined, suggesting nondisjunction events. In contrast, several C3AF1 and AC3F1 tumors appeared to have interstitial deletions that defined the smallest region of overlap as a 9-cM interval between Ifa-2 and D4Nds2. The homologous region on human chromosome 9p21-22 is frequently lost in a variety of tumors including lung cancers. A candidate tumor suppressor gene, MTS1, is located in this region, which is homozygously deleted or mutated in cell lines derived from a variety of human tumors. Finally, an association between K-ras gene activation and allelic imbalances on chromosome 6 was observed for B6C3F1 lung tumors.

Alleles↗

Genetic dissection of complex traits.

Medical genetics was revolutionized during the 1980s by the application of genetic mapping to locate the genes responsible for simple Mendelian diseases. Most diseases and traits, however, do not follow simple inheritance patterns. Genetics have thus begun taking up the even greater challenge of the genetic dissection of complex traits. Four major approaches have been developed: linkage analysis, allele-sharing methods, association studies, and polygenic analysis of experimental crosses. This article synthesizes the current state of the genetic dissection of complex traits--describing the methods, limitations, and recent applications to biological problems.

Alleles↗

Genome-wide search for loss of heterozygosity in transgenic mouse tumors reveals candidate tumor suppressor genes on chromosomes 9 and 16.

A genome-wide scan for loss of heterozygosity (LOH) in tumors provides a powerful route to the identification of genes involved in tumorigenesis. This approach has not previously been applied to transgenic mice, despite the considerable advantages they afford for genetic dissection. Here, we report a genome-wide LOH analysis of insulinomas and carcinoid tumors in transgenic mice expressing the simian virus 40 large tumor oncogene. Although the overall genome-wide rate of LOH was quite low, chromosomes 9 and 16 showed high rates of allelic loss. About one-third of tumors showed partial LOH, allowing localization of the likely tumor suppressor genes to intervals of approximately 11 centimorgans. The locus on chromosome 9, named Loh-1, lies in a region with synteny conservation to human chromosomes 3q, 6q12, 15q24, and 3p21, while the locus on chromosome 16, named Loh-2, lies in a region corresponding to human chromosomes 3q and 22q. Of particular note is the synteny conservation with human 3p21, which shows frequent loss in human cancers. These regions do not encode two tumor suppressors, pRB and p53, known to interact with large tumor oncoprotein, suggesting the presence of new genes whose loss of function contributes to multistage tumorigenesis.

Alleles↗

Genetic identification of Mcs-1, a rat mammary carcinoma suppressor gene.

Women have inherited differences in their susceptibility to breast cancer, but the genes underlying this variation are difficult to identify. We have approached the problem of identifying breast cancer susceptibility genes by using a rat model. Inbred rat strains display differential susceptibilities to mammary carcinogenesis; the Copenhagen (COP) rat is resistant, while the Wistar-Furth (WF) rat is susceptible to induction of mammary tumors by 7,12-dimethylbenz[a]anthracene. Genetic breeding studies have shown that tumor resistance in the COP rat is a dominant phenotype, termed the rat mammary carcinoma suppressor trait. As a step toward defining the basis of this resistance, we undertook genetic mapping of this phenotype in a (WF x COP)F1 x WF backcross by studying a large collection of microsatellite and minisatellite polymorphisms. A total of 114 genetic markers, covering approximately 75% of the rat genome, were genotyped in the backcross progeny. A marker on rat chromosome 2 was found to show linkage to the resistance phenotype. Genetic linkage was demonstrated both in a qualitative analysis (in which rats were defined as resistant if they developed 0 tumors and sensitive if they developed two or more tumors; LOD score, 4.0) and in a quantitative trait locus analysis (in which tumor number was used as the quantitative phenotype; LOD score, 3.8). We infer the existence of a gene, Mcs-1, on rat chromosome 2 that suppresses mammary carcinogenesis.

9,10-Dimethyl-1,2-benzanthracene↗

Allelotyping of butadiene-induced lung and mammary adenocarcinomas of B6C3F1 mice: frequent losses of heterozygosity in regions homologous to human tumor-suppressor genes.

To identify the potential involvement of tumor-suppressor gene inactivation during neoplastic development in B6C3F1 mice, genetic losses were determined from allelotypes of butadiene-induced lung and mammary adenocarcinomas. By using length polymorphisms in restriction fragments and simple sequence repeats, or "microsatellites," markers on each autosome were analyzed for allele losses in tumor DNAs. Losses of heterozygosity on chromosome 11 were observed at several loci surrounding the p53 tumor-suppressor gene (Trp53) in 12 of 17 mammary tumors and 2 of 8 lung tumors. Although most of these alterations appeared to result from nondisjunction, at least two examples of somatic recombination or deletion were also observed. Southern analysis revealed a homozygous deletion of the remaining Trp53 allele of one of these mammary tumors. Losses of heterozygosity were also detected at the Rb-1 tumor-suppressor gene in 7 of 17 mammary tumors and 1 lung tumor. Finally, frequent allele losses were observed on chromosome 4 in lung tumors. Analysis of nine chromosome 4 loci defined an interstitial deletion containing the Ifa gene cluster in one of the lung tumors. A tumor-suppressor gene was previously mapped to this region of chromosome 4 in studies with somatic cell hybrids. In addition, homozygous deletions have been reported in a homologous region of human chromosome 9p for acute lymphocytic leukemias, glioblastomas, melanomas, and lung carcinomas. These findings suggest that the inactivation of tumor-suppressor genes including Trp53, Rb-1, and an unidentified gene on chromosome 4 plays a significant role during carcinogenesis in mice.

Adenocarcinoma↗