PubMed Health⌕ Search

Biomedical subjects

E S Lander

Publications and source records attributed to E S Lander.

At least 19 recordsLinked to original sources
PubMed1992

Systematic detection of errors in genetic linkage data.

Construction of dense genetic linkage maps is hampered, in practice, by the occurrence of laboratory typing errors. Even relatively low error rates cause substantial map expansion and interfere with the determination of correct genetic order. Here, we describe a systematic method for overcoming these difficulties, based on incorporating the possibility of error into the usual likelihood model for linkage analysis. Using this approach, it is possible to construct genetic maps allowing for error and to identify the typings most likely to be in error. The method has been implemented for F2 intercrosses between two inbred strains, a situation relevant to the construction of genetic maps in experimental organisms. Tests involving both simulated and real data are presented, showing that the method detects the vast majority of errors.

Animals↗
PubMed1992

Identification of polymorphic simple sequence repeats in the genome of the zebrafish.

The zebrafish has drawn a great deal of attention as a developmental system because it offers the ability to combine excellent embryology and genetics. Here, we report that simple sequence repeats are abundant in the zebrafish genome and are highly polymorphic between two outbred lines, making them useful markers for the construction of a genetic map of this organism.

Animals↗
PubMed1992

Genetic dissection of autoimmune type I diabetes in the BB rat.

The BB rat is among the best models of insulin-dependent diabetes mellitus--with onset and pathogenesis closely resembling the human disease. One unusual feature is a severe T-cell lymphopenia, which appears to be inherited as a recessive trait controlled by a single gene, Lyp. Based on genetic analysis of several crosses, we show that development of diabetes involves at least three genes: Lyp, which is tightly linked to the neuropeptide Y (Npy) gene on chromosome 4, a gene linked to the major histocompatibility complex (MHC) on chromosome 20, and a third unmapped gene for which the Fischer rat strain carries an allele conferring resistance.

Animals↗
PubMed1992

A genetic map of the mouse suitable for typing intraspecific crosses.

We report the construction of a genetic linkage map of the mouse, consisting entirely of genetic markers that can be rapidly typed by polymerase chain reaction and that show a high degree of polymorphism among inbred laboratory strains. Specifically, the map contains 317 simple sequence length polymorphisms at an average spacing of 4.3 cM and is detectably linked to approximately 99% of the mouse genome. In typical crosses between inbred laboratory strains, about 50% of the markers are polymorphic, making it straightforward to follow inheritance in almost any cross.

Animals↗
PubMed1992

Identification of genetic factors contributing to heterosis in a hybrid from two elite maize inbred lines using molecular markers.

The use of molecular markers to identify quantitative trait loci (QTLs) affecting agriculturally important traits has become a key approach in plant genetics-both for understanding the genetic basis of these traits and to help design novel plant improvement programs. In the study reported here, we mapped QTLs (and evaluated their phenotypic effects) associated with seven major traits (including grain yield) in a cross between two widely used elite maize inbred lines, B73 and Mo17, in order to explore two important phenomena in maize genetics-heterosis (hybrid vigor) and genotype-by-environment (G x E) interaction. We also compared two analytical approaches for identifying QTLs, the traditional single-marker method and the more recently described interval-mapping method. Phenotypic evaluations were made on 3168 plots (nearly 100,000 plants) grown in three states. Using 76 markers that represented 90-95% of the maize genome, both analytical methods showed virtually the same results in detecting QTLs affecting grain yield throughout the genome, except on chromosome 6. Fewer QTLs were detected for other quantitative traits measured. Whenever a QTL for grain yield was detected, the heterozygote had a higher phenotype than the respective homozygote (with only one exception) suggesting not only overdominance (or pseudooverdominance) but also that these detected QTLs play a significant role in heterosis. This conclusion was reinforced by a high correlation between grain yield and proportion of heterozygous markers. Although plant materials were grown and measured in six diverse environments (North Carolina, Iowa and Illinois) there was little evidence for G x E interaction for most QTLs.

Crosses, Genetic↗
PubMed1992

The recombinant congenic strains for analysis of multigenic traits: genetic composition.

The genetic control of susceptibility to many common diseases, including cancer, is multigenic both in humans and in animals. This genetic complexity has presented a major obstacle in mapping the relevant genes. As a consequence, most geneticists and molecular biologists presently focus on "single gene" diseases. To make the multigenic diseases accessible to genetic and molecular analysis, we developed a novel genetic tool, the recombinant congenic strains (RCS) in the mouse (4). The RC strains are produced by inbreeding of mice of the second backcross generation between two inbred strains, one of which serves as the "donor" and the other as the "background" strain. A series of RCS consists of approximately 20 strains, each carrying a different set of genes: approximately 12.5% genes from the common donor inbred strain, the remaining 87.5% from the common background inbred strain. As the set of donor strain genes in each RC strain is different, the nonlinked genes of the donor strain involved in the control of a multigenic trait, e.g., cancer susceptibility, become distributed into different RC strains where they can be analyzed one by one. Hence, the RCS system transforms a multigenic trait into a series of single gene traits, where each gene contributing to the multigenic control can be mapped and studied separately. Recently we demonstrated that the RCS system is indeed capable of resolving multigenic traits, which are hardly analyzable otherwise, by mapping four new colon tumor susceptibility loci (8; P. C. Groot, C. J. A. Moen, W. Dietrich, L. F. M. van Zutphen, E. S. Lander, and P. Demant, unpublished results). For successful application of the RCS system, extensive genetic characterization of the individual recombinant congenic strains is essential. In this paper we present detailed information about the genetic composition of three series of RC strains on the basis of typing of 120-180 markers distributed along all autosomes. The data indicate that the relative representation of the donor strain genes in the RC strains does not deviate from the theoretical expectation, and that the RC strains achieved a very high degree of genetic homogeneity and for all practical purposes can be considered inbred strains. The density and distribution of markers reported here permits an effective mapping of unknown genes of donor strain origin at almost all autosomal locations. Much of this information has been obtained using the new class of genetic markers, the simple sequence repeat polymorphisms.(ABSTRACT TRUNCATED AT 400 WORDS)

Animals↗
PubMed1991

Genetic mapping of a gene causing hypertension in the stroke-prone spontaneously hypertensive rat.

The stroke-prone spontaneously hypertensive rat (SHRSP) is a well-characterized model for primary hypertension in humans. High blood pressure in SHRSP shows polygenic inheritance, but none of the loci responsible have previously been identified. To locate genes controlling this quantitative trait, we mapped a large collection of DNA polymorphisms in a cross between SHRSP and the normotensive WKY strain. Here we report strong genetic evidence that a gene, Bp1, having a major effect on blood pressure maps to rat chromosome 10 with a LOD score of 5.10 and is closely linked to the rat gene encoding angiotensin-converting enzyme (ACE), an enzyme that plays a major role in blood pressure homeostasis and is an important target of anti-hypertensive drugs. We also find significant, albeit weaker, linkage to a locus, Bp2, on chromosome 18. We discuss the implications of genetic dissection of quantitative disease-related phenotypes in mammals.

Animals↗
PubMed1991

An automated method for DNA preparation from thousands of YAC clones.

We describe an automated method for the preparation of yeast genomic DNA capable of preparing thousands of DNAs in parallel from a YAC library. Briefly, the protocol involves four steps: (1) Yeast clones are grown in the wells of 96-well microtiter plates with filter (rather than plastic) well-bottoms, which are embedded in solid growth media; (2) These yeast cultures are resuspended and their concentrations determined by optical density measurement; (3) Equal numbers of cells from each well are embedded in low-melting temperature agarose blocks in fresh 96-well plates, again with filter bottoms; and (4) DNA is prepared in the agarose blocks by a protocol similar to that used for preparing DNA for pulsed-field gels, with the reagents being dialyzed through the (filter) bottoms of the microtiter plate. The DNA produced by this method is suitable for pulsed-field gel electrophoresis, for restriction enzyme digestion, and for the polymerase chain reaction (PCR). Using this protocol, we produced 3000 YAC strain DNAs in three weeks. This automated procedure should be extremely useful in many genomic mapping projects.

Blotting, Southern↗
PubMed1991

Genomic mapping by anchoring random clones: a mathematical analysis.

A complete physical map of the DNA of an organism, consisting of overlapping clones spanning the genome, is an extremely useful tool for genomic analysis. Various methods for the construction of such physical maps are available. One approach is to assemble the physical map by "fingerprinting" a large number of random clones and inferring overlap between clones with sufficiently similar fingerprints. E.S. Lander and M.S. Waterman (1988, Genomics 2:231-239) have recently provided a mathematical analysis of such physical mapping schemes, useful for planning such a project. Another approach is to assemble the physical map by "anchoring" a large number of random clones--that is, by taking random short regions called anchors and identifying the clones containing each anchor. Here, we provide a mathematical analysis of such a physical mapping scheme.

Chromosome Mapping↗
PubMed1991

Mendelian factors underlying quantitative traits in tomato: comparison across species, generations, and environments.

As part of ongoing studies regarding the genetic basis of quantitative variation in phenotype, we have determined the chromosomal locations of quantitative trait loci (QTLs) affecting fruit size, soluble solids concentration, and pH, in a cross between the domestic tomato (Lycopersicon esculentum Mill.) and a closely-related wild species, L. cheesmanii. Using a RFLP map of the tomato genome, we compared the inheritance patterns of polymorphisms in 350 F2 individuals with phenotypes scored in three different ways: (1) from the F2 progeny themselves, grown near Davis, California; (2) from F3 families obtained by selfing each F2 individual, grown near Gilroy, California (F3-CA); and (3) from equivalent F3 families grown near Rehovot, Israel (F3-IS). Maximum likelihood methods were used to estimate the approximate chromosomal locations, phenotypic effects (both additive effects and dominance deviations), and gene action of QTLs underlying phenotypic variation in each of these three environments. A total of 29 putative QTLs were detected in the three environments. These QTLs were distributed over 11 of the 12 chromosomes, accounted for 4.7-42.0% of the phenotypic variance in a trait, and showed different types of gene action. Among these 29 QTLs, 4 were detected in all three environments, 10 in two environments, and 15 in only a single environment. The two California environments were most similar, sharing 11/25 (44%) QTLs, while the Israel environment was quite different, sharing 7/20 (35%) and 5/26 (19%) QTLs with the respective California environments. One major goal of QTL mapping is to predict, with maximum accuracy, which individuals will produce progeny showing particular phenotypes. Traditionally, the phenotype of an individual alone has been used to predict the phenotype of its progeny. Our results suggested that, for a trait with low heritability (soluble solids), the phenotype of F3 progeny could be predicted more accurately from the genotype of the F2 parent at QTLs than from the phenotype of the F2 individual. For a trait with intermediate heritability (fruit pH), QTL genotype and observed phenotype were about equally effective at predicting progeny phenotype. For a trait with high heritability (mass per fruit), knowing the QTL genotype of an individual added little if any predictive value, to simply knowing the phenotype. The QTLs mapped in the L. esculentum X L. cheesmanii F2 appear to be at similar locations to many of those mapped in a previous cross with a different wild tomato (L. chmielewskii).(ABSTRACT TRUNCATED AT 400 WORDS)

Biological Evolution↗
PubMed1991

Counting algorithms for linkage: correction to Morton and Collins.

In a recent paper, Morton & Collins (1990) claimed: (1) that the Lander-Green algorithm for genetic linkage analysis is not the EM algorithm for finding the maximum likelihood map; and (2) that a proposed alternative algorithm does have these properties. Here, we show that these assertions are both incorrect: the Lander-Green algorithm is an EM algorithm, while the Morton-Collins algorithm is not. We note that Morton and Collins concur with these conclusions.

Algorithms↗
PubMed1989

Mapping mendelian factors underlying quantitative traits using RFLP linkage maps.

The advent of complete genetic linkage maps consisting of codominant DNA markers [typically restriction fragment length polymorphisms (RFLPs)] has stimulated interest in the systematic genetic dissection of discrete Mendelian factors underlying quantitative traits in experimental organisms. We describe here a set of analytical methods that modify and extend the classical theory for mapping such quantitative trait loci (QTLs). These include: (i) a method of identifying promising crosses for QTL mapping by exploiting a classical formula of SEWALL WRIGHT; (ii) a method (interval mapping) for exploiting the full power of RFLP linkage maps by adapting the approach of LOD score analysis used in human genetics, to obtain accurate estimates of the genetic location and phenotypic effect of QTLs; and (iii) a method (selective genotyping) that allows a substantial reduction in the number of progeny that need to be scored with the DNA markers. In addition to the exposition of the methods, explicit graphs are provided that allow experimental geneticists to estimate, in any particular case, the number of progeny required to map QTLs underlying a quantitative trait.

Chromosome Mapping↗
PubMed1989

Prospects for the genetic analysis of schizophrenia.

This issue of the Schizophrenia Bulletin provides a forum for the presentation of early results and speculative hypotheses based on the application of molecular genetic methods for linkage studies in schizophrenia. Contributors were given the freedom to explore the historical and theoretical perspectives on the genetics of schizophrenia. They were also asked to balance their enthusiasm and cautious skepticism at the new suggestions of linkage involving chromosome 5 (Sherrington et al. 1988). In this overview, the epidemiologic evidence for a genetic factor in schizophrenia and recent linkage studies are briefly discussed. In addition, the potential and limitations of different linkage strategies in schizophrenia are examined.

Chromosomes, Human, Pair 5↗