Meiotic Mapping Research Articles

Linkage analysis, kinship, and the short‐term evolution of chromosomes

Although all meiotic (or linkage) mapping strategies ultimately rely on Mendel's laws, the precise manner in which these laws are exploited in relevant statistical models determines the utility of each strategy for different traits and diseases. In this paper we review the motivation and principles behind each of the three most often used statistical strategies for mapping loci that influence complex, multifactorial traits and diseases (such as diabetes and hypertension), namely: pedigree-based parametric linkage, relative pair allele sharing analysis, and association or linkage disequilibrium analysis. It is our hope to show how Mendel's laws are exploited in each through use of two basic concepts: the short-term evolution of chromosomes, and kinship. Problems inherent in each strategy are described. We then consider how extensions, modifications, or novel derivatives of these three strategies might be fashioned that make better use of the concepts of kinship and short-term chromosome evolution. Two strategies receive emphasis: a haplotype sharing method, which considers the kinship of groups of individuals, and extended variance component models, which make use of genotype information in novel ways. J. Exp. Zool. 281:133–149, 1998. © 1998 Wiley-Liss, Inc.

The search for the MEN1 gene. The European Consortium on MEN-1.

The search for the gene whose mutations predispose individuals to multiple endocrine neoplasia type 1 (MEN-1) started in 1988 when the MEN1 locus was assigned to 11q13, close to PYGM. It came to an end with the recent identification of a gene expressed ubiquitously which harbours inactivating mutations associated with MEN-1. During these nine years, the genetic linkage interval had been slowly reduced, and losses of heterozygosity (LOH) in MEN-1 tumours had given strong indications that MEN1 was a tumour suppressor gene. It is ironic that MEN1 was finally found to be located less than 100 kb telomeric to PYGM. From the beginning, this gene was the most tightly linked genetically to MEN-1. In addition, LOH had already shown (in 1990) that it was the most likely centromeric boundary of the MEN1 minimal region. We recently narrowed the critical region to 900 kb through meiotic mapping, and established a 1200-kb sequence-ready contig consisting of cosmids, bacterial artificial chromosomes (BACs) and P1-derived artificial chromosomes (PACs), including three gene clusters (19 genes and 3 expressed sequence tags). Taking LOH results into account, the gene was likely to be present in the 300-kb area telomeric to PYGM that we had covered with BACs. One of the novel genes that we have identified by cDNA selection in this region, SCG2 (Suppressor Candidate Gene 2), proved to be identical to the recently published MEN1 gene. Mutation analysis of SCG2 in 11 unrelated MEN-1 families identified one nucleotide sequence polymorphism and 10 different mutations that segregated with the disease.

A search for additional X-linked genes affecting sex determination inDrosophila melanogaster

The geneSex-lethal (Sxl) plays a pivotal role inDrosophila sexual development. Once activated in response to the X: A ratio signal in XX embryos,Sxl participates in appropriate implementation of all known aspects of sexual differentiation. We have attempted to identify new X-linked genes involved in sex determination, especially those involved in the regulation ofSxl. Since misregulation ofSxl, or that of the genes that regulate it, leads to female-specific lethality, or synergistic female-lethal gene interactions, or both, we used these criteria to screen about 10,000 EMS-treated chromosomes for (i) recessive female-specific lethality or (ii) enhanced female lethality intransheterozygous combination withSxl. Four potentially useful mutations—Sxldlf, fl-35, fl-46, 1–43—were recovered and a few of their properties were characterized. Approximate map positions of these mutations were determined by meiotic mapping. To understand their probable position(s) in the hierarchy of genes regulating sex determination, we studied dose-dependent interactions between them and mutations in genes known to affect sex determination by generating double and triple heterozygotes. These studies suggest that (i)Sxldlf is not defective in the ‘early’ regulation or functions ofSxl, and (ii)fl-35, fl-46 and1–43 are unlikely to be a part of the X: A ratio signal, i.e. they are not needed for the transcriptional activation ofSxl. On the other hand, they could be affecting post-transcriptional processing ofSxl transcripts.

Construction of a 1.2-Mb Sequence-Ready Contig of Chromosome 11q13 Encompassing the Multiple Endocrine Neoplasia Type 1 (MEN1) Gene

Multiple endocrine neoplasia type 1 (MEN1) is an autosomal dominant familial cancer syndrome characterized by parathyroid, pancreatic, and anterior pituitary tumors. The MEN1 locus has been previously localized to chromosome 11q13, and a 2-Mb gene-rich region flanked by D11S1883 and D11S449 has been defined. We have pursued studies to facilitate identification of the MEN1 gene by narrowing this critical region to a 900-kb interval between the VRF and D11S1783 loci through meiotic mapping. This was achieved by investigating 17 cosmids for microsatellite polymorphisms, which defined two novel polymorphisms at the VRF and A0138 loci, and utilizing these to characterize recombinants in MEN1 families. In addition, we have established a 1200-kb sequence-ready contig consisting of 26 cosmids, eight BACs, and eight PACs that encompass this region. The precise locations for 19 genes and three ESTs within this contig have been determined, and three gene clusters consisting of a centromeric group (VRF, FKBP2, PNG, and PLCB3), a middle group (PYGM, ZFM1, SCG1, SCG2 (which proved to be the MEN1 gene), and PPP2R5B), and a telomeric group (H4B, ANG3, ANG2, ANG1, FON, FAU, NOF, NON, and D11S2196E) were observed. These results represent a valuable transcriptional map of chromosome 11q13 that will help in the search for disease genes in this region.

Estimating meiotic exchange patterns from recombination data: an application to humans.

We present analytical methods to estimate the recombinational history of chromosomes in a human population. Our analysis, similar to those utilized in Drosophila, can be used to construct meiotic maps based upon crossover frequencies observed in family data. We apply this method of exchange estimation to a population of paternally and maternally inherited chromosomes 21. The patterns of chromosomal exchange estimated by this type of analysis are comparable to those obtained by the more technically difficult method of cytologically counting chiasmata among human male meiotic events (sperm). This type of analysis can be applied to both male and female meiosis, circumventing many technical problems inherent to cytological counting. Moreover, the distribution of exchange locations along a chromosome for each exchange type (i.e., single, double, or triple exchanges) can be examined individually, an advantage compared to examination of genetic maps that only provide a summary of these distributions. We discuss how this analysis can be used to examine various assumptions concerning meiotic exchange in humans and investigate properties of the analysis that contribute to the accuracy of the results.

The Validity of theAspergillus nidulansLinkage Map

TheAspergillus nidulanslinkage map is reviewed as a background to physical mapping by cosmid cross-hybridization and genome sequencing. DNA-based methods depend on contiguity, so that the resulting maps are only as good as the weakest link, whereas each new marker added to a linkage map can provide independent confirmation of the positions of its neighbors. For all eight chromosomes ofA. nidulansa reliable framework has been provided by analysis of mitotic crossing over, in many cases substantiated by the study of translocation disomics. Building on this framework, there is a backbone of loci linked by reliable three-point meiotic mapping and a second set of less precisely mapped loci. The result is a map with a high degree of self-consistency although some areas of uncertainty or conflict are also noted.

Utility of linked markers in genetic counseling: estimation of carrier risks in X-linked ocular albinism.

We apply a method proposed by Rogatko et al. [1995: Am J Med Genet 59:24-32] to estimate carrier risks using genetic linkage data. The method is illustrated for X-linked ocular albinism. Linkage data from pedigrees were combined with genome mapping data to compute carrier risks for individuals with unknown carrier status based on pedigree data alone. We considered two situations. First, a linkage map with some ambiguity in the gene order was considered. This analysis allows us to examine the effect of incomplete genetic map information on risk computations. Second, published physical and meiotic mapping information was used to derive a linkage map that could be assumed known without ambiguity. In both situations, the mean and median estimate of carrier risk differed significantly from that obtained using pedigree relationships only, in that the computed risk was significantly different from the a priori value of 0.5. The 95% CI's associated with point estimates of risk made using the known map or an map with ambiguity did not overlap in some cases. These results suggest that the risk estimate and the confidence with which a risk estimate can be imparted may depend on the genetic map and marker data used in the risk estimation procedure. We conclude that the method presented here can be used to estimate genetic risk under a variety of analytical conditions.

REPORT on the Fifth International Workshop on Chromosome 9 held at Eynsham, Oxfordshire, UK, September 4–6, 1996

The Fifth International workshop on chromosome 9 comprised a gathering of 36 scientists from seven countries and included a fairly even distribution of interests along chromosome 9 as well as a strong input from more global activities and from comparative mapping. At least eight groups had participated in the goal set at the previous workshop which was to improve the fine genetic mapping in different regions of chromosome 9 by meiotic breakpoint mapping in allocated regions and this has resulted in some greatly improved order information. Excellent computing facilities were available and all contributed maps were entered not only into SIGMA (and thence submitted to GDB) but also into a dedicated version of ACEDB which can be accessed on the Web in the form of one of 28 slices into which the chromosome has been arbitrarily divided. It was generally agreed that the amount of data is now overwhelming and that the integration and validation of all data is not only unrealistic in a short meeting but probably impossible until the whole chromosome has been sequenced and fully annotated. Sequence-ready contigs presented at the meeting totalled about 3 MB which is about one fiftieth of the estimated length. The single biggest barrier to integration of maps is the problem of non-standard nomenclature of loci. In the past 2 workshops efforts have been made to compare traditional 'consensus' maps made by human insight (still probably best for small specific regions) with those generated with some computer assistance (such as SIGMA) and those generated objectively by defined computer algorithms such as ldb. Since no single form of map or representation is entirely satisfactory for all purposes the maps reproduced in the published version of the report are confined to one of the genetic maps, in which Genethon and older markers have been incorporated, a Sigma map of the genes as symbols together with a listing of known 'disease' genes on chromosome 9, and a revised assessment of the mouse map together with a list of mouse loci predicted to be on human chromosome 9. One of the 25 ACEDB slices is also shown to illustrate strengths and weaknesses of this approach. Workshop files include not only all maps available at the time but also details of loci and details of the meiotic breakpoints in the CEPH families.

Report on the Fifth International Workshop on Chromosome 9 held at Eynsham, Oxfordshire, UK, September 4-6, 1996.

The Fifth International workshop on chromosome 9 comprised a gathering of 36 scientists from seven countries and included a fairly even distribution of interests along chromosome 9 as well as a strong input from more global activities and from comparative mapping. At least eight groups had participated in the goal set at the previous workshop which was to improve the fine genetic mapping in different regions of chromosome 9 by meiotic breakpoint mapping in allocated regions and this has resulted in some greatly improved order information. Excellent computing facilities were available and all contributed maps were entered not only into SIGMA (and thence submitted to GDB) but also into a dedicated version of ACEDB which can be accessed on the Web in the form of one of 28 slices into which the chromosome has been arbitrarily divided. It was generally agreed that the amount of data is now overwhelming and that the integration and validation of all data is not only unrealistic in a short meeting but probably impossible until the whole chromosome has been sequenced and fully annotated. Sequence-ready contigs presented at the meeting totalled about 3 MB which is about one fiftieth of the estimated length. The single biggest barrier to integration of maps is the problem of non-standard nomenclature of loci. In the past 2 workshops efforts have been made to compare traditional 'consensus' maps made by human insight (still probably best for small specific regions) with those generated with some computer assistance (such as SIGMA) and those generated objectively by defined computer algorithms such as ldb. Since no single form of map or representation is entirely satisfactory for all purposes the maps reproduced in the published version of the report are confined to one of the genetic maps, in which Genethon and older markers have been incorporated, a Sigma map of the genes as symbols together with a listing of known 'disease' genes on chromosome 9, and a revised assessment of the mouse map together with a list of mouse loci predicted to be on human chromosome 9. One of the 28 ACEDB slices is also shown to illustrate strengths and weaknesses of this approach. Workshop files include not only all maps available at the time but also details of loci and details of the meiotic breakpoints in the CEPH families (http:/(/)www.gene.ucl.ac.uk/scw9db.shtml) .

Selected methodological issues in meiotic mapping of obesity genes in humans: issues of power and efficiency.

This paper focuses on methods for mapping novel obesity genes in humans via meiotic mapping techniques. By novel we mean genes that are as yet unidentified as playing a role in obesity. We begin by presenting a discussion of why we believe it is important to seek out novel obesity genes and, in particular, novel genes of small effect. In light of the arguably Herculean task of finding genes of small effect with conventional gene mapping methods, we discuss alternative methods and procedures that may enhance our ability to map novel obesity genes of small effect. Many of these methods have been discussed previously in the literature and are summarized here. These include reconceptualizing power in the context of genomewide scans, multivariate linkage approaches, the use of phenotypically extreme subjects, and the use of large sibships. These are discussed in the context of linkage studies. Association studies and disequilibrium mapping are also discussed, and again, issues involving the use of extreme phenotypes and multiple testing are included. We also provide a brief discussion of DNA pooling and transmission disequilibrium tests for quantitative traits. Finally, we advocate data pooling techniques (e.g., meta-analysis) to enhance the power and efficiency of the entire field of the genetics of obesity.

A genetic linkage map of the male goat genome.

This paper presents a first genetic linkage map of the goat genome. Primers derived from the flanking sequences of 612 bovine, ovine and goat microsatellite markers were gathered and tested for amplification with goat DNA under standardized PCR conditions. This screen made it possible to choose a set of 55 polymorphic markers that can be used in the three species and to define a panel of 223 microsatellites suitable for the goat. Twelve half-sib paternal goat families were then used to build a linkage map of the goat genome. The linkage analysis made it possible to construct a meiotic map covering 2300 cM, i.e., > 80% of the total estimated length of the goat genome. Moreover, eight cosmids containing microsatellites were mapped by fluorescence in situ hybridization in goat and sheep. Together with 11 microsatellite-containing cosmids previously mapped in cattle (and supposing conservation of the banding pattern between this species and the goat) and data from the sheep map, these results made the orientation of 15 linkage groups possible. Furthermore, 12 coding sequences were mapped either genetically or physically, providing useful data for comparative mapping.

Genetic mapping studies of 40 loci and 23 cosmids in chromosome 11p13-11q13, and exclusion of mu-calpain as the multiple endocrine neoplasia type 1 gene.

Forty loci (16 polymorphic and 24 non-polymorphic) together with 23 cosmids isolated from a chromosome 11-specific library were used to construct a detailed genetic map of 11p13-11q13. The map was constructed by using a panel of 13 somatic cell hybrids that sub-divided this region into 19 intervals, a meiotic mapping panel of 33 multiple endocrine neoplasia type 1 (MEN1) families (134 affected and 269 unaffected members) and a mitotic mapping panel that was used to identify loss of heterozygosity in 38 MEN1-associated tumours. The results defined the most likely order of the 16 loci as being: 11pter-D11S871-(D11S288, D11S149)-11cen-CNTF-PGA-ROM1-D11S480-PYGM- SEA-D11S913-D11S970-D11S97- D11S146-INT2-D11S971-D11S533-11qter. The meiotic mapping studies indicated that the most likely location of the MEN1 gene was in the interval flanked by PYGM and D11S97, and the results of mitotic mapping suggested a possible location of the MEN1 gene telomeric to SEA. Mapping studies of the gene encoding mu-calpain (CAPN1) located CAPN1 to 11q13 and in the vicinity of the MEN1 locus. However, mutational analysis studies did not detect any germ-line CAPN1 DNA sequence abnormalities in 47 unrelated MEN1 patients and the results therefore exclude CAPN1 as the MEN1 gene. The detailed genetic map that has been constructed of the 11p13-11q13 region should facilitate the construction of a physical map and the identification of candidate genes for disease loci mapped to this region.

P357 - A precise meiotic map in the class I region of the MHC

P357 - A precise meiotic map in the class I region of the MHC

A Precise Meiotic Map in the Class I Region of the Human Major Histocompatibility Complex

Human families in which recombinant meiotic event(s) are known to have occurred are powerful tools with which to analyze more precisely the structures of defined genomic regions, especially unstable areas. Such families allow the determination of the haplotypes of each member and, taking into account the recombinant event, it is possible to localize very precisely the point of crossover. Using families in which crossovers between the genes HLA-A and -B have occurred, we have constructed a meiotic map localizing the meiotic breakpoint events with respect to both anonymous markers and the principal genes of the region. Such mapping, which depends on the direct analysis of genomic DNA, is essential for fine structural analysis and is a powerful means of verification of the order and the localization of markers: physical mapping alone, using yeast artificial chromosomes, presents some uncertainties due to the numerous chimeras and inversions that can be produced. The establishment of this map will allow us to determine efficiently the precise location for new markers already localized to the map region. Three microsatellites (D6S265, D6S276, and D6S306), localized in the HLA region by linkage analysis, have been precisely located with respect to the points of recombination in the class I region. The sites of meiotic recombination in the MHC class I region seem to be not randomly distributed but in the majority of cases occurred between HLA-C and the microsatellite D6S265. This study also shows two cases of abnormal segregation of alleles. We discuss how these mutations correspond to a spontaneous mutation event at the somatic or germinal level.

REPORT on the Fourth International Workshop on Chromosome 9: held at Williamsburg, Virginia, USA, April 23–25, 1995

SUMMARYThe Fourth International Workshop on Chromosome 9 was a highly successful endeavor in terms of the growth of the map, both genetic and physical, the amount of data entered into GDB, and the continued comradeship in the sharing of data and resources that was exemplified. SIGMA remained a stable and valuable part of the chromosome 9 mapping effort. A new subsection outlining the morbid anatomy of chromosome 9 was included. Finally, specific goals were set for the community to aim for over the upcoming months. These included extending the information about the ease of use of genetic markers, and coordinating across numerous groups the meiotic breakpoint mapping of many microsatellite markers. Workshop files are available by anonymous ftp from ftp.gene.ucl.ac.uk (128.40.82.1) in the subdirectory /pub/c9workshop/1995, or by using a World Wide Web browser (such as Mosaic or Netscape) via the Chromosome 9 Home Page (at the URL http:www.gene.ucl.ac.ukchr9home.html).

Precise mapping of t(12;14) leiomyoma breakpoint on chromosome 14 between D14S298 and D14S540.

Uterine leiomyoma is a common tumor of smooth muscle cell origin often characterized by the presence of a balanced t(12;14)(q13-15;q24.1) chromosomal translocation. This breakpoint on chromosome 14 had previously been placed between the markers SPTB and D14S77, a region estimated to span 7 cM. In this study we have used a meiotic breakpoint mapping panel to construct a high resolution genetic map of this interval. Markers that mapped within this interval were used to analyze DNA from a somatic cell hybrid containing the t(12;14) translocated chromosome. The results of this analysis localize the t(12;14) breakpoint on chromosome 14 between D14S298 and D14S540, between which no meiotic recombination was detected. This sets the stage for identifying the gene(s) disrupted by the chromosomal translocation by defining the markers that flank the translocation breakpoint.

An integrated cytogenetic and meiotic map of the bovine genome.

An integrated cytogenetic and meiotic map of the bovine genome.

Mapping of the Insulin Promoter Factor I Gene ( Ipf1) to Distal Mouse Chromosome 5

We have identified sequence variants in the 3′ untranslated region of the insulin promoter factor 1 ( Ipf1) cDNA sequence in mice and used a PCR-based oligonucleotide hybridization assay to map the Ipf1 gene to distal mouse chromosome (Chr) 5. An identical 12-bp insertion in the 3′ untranslated region of the mouse Ipf1 gene sequence is present in Mus spretus and Mus m. musculus Czech II mice, two feral strains used for meiotic mapping by backcross analysis. The human IPF1 gene homolog would be expected to map to either chromosome 13q12-q14 or 7pter-q21 based on homology of synteny of other loci in this region of mouse Chr 5. Given its genetic map position, the Ipf1 gene may be part of a cassette of homeodomain-containing transcription factors involved in the development of the pancreas and other foregut-derived organs.

3 Mapping of Mammalian Genomes with Radiation (Goss and Harris) Hybrids

Publisher Summary This chapter describes the use of radiation hybrids for constructing high-resolution maps of the human genome. Radiation hybrids have recently been implemented for mouse mapping and have been found to have a higher level of resolution compared to that of interspecies meiotic mapping panels. The chapter presents the advantages and disadvantages of the two different types of radiation hybrid panels. One advantage of the chromosome-specific panels is their reduced complexity. Because the human component in the hybrids is derived from a single chromosome or a reduced number of chromosomes, the hybrid can be used as a resource for chromosome-specific marker isolation. Using methods, such as interspersed repetitive sequence-polymerase chain reaction (IRS-PCR) to obtain the human sequences has greatly improved their usefulness. Moreover, the hybrids are easier to analyze with markers from multigenic families due to their reduced complexity. As radiation hybrid mapping has become more popular, numerous laboratories have expressed an interest in gaining access to hybrid panels. There is a renewed interest in total genome hybrid panels because they can be used without a piori knowledge of a marker's location.

Localization of the OTF3 Gene within the Human MHC Class I Region by Physical and Meiotic Mapping

OTF3 (octamer transcription factor 3) is a transcription factor containing a POU-specific domain and a homeodomain that could play a role in early development. In situ hybridization and pairwise linkage analysis showed that OTF3 gene maps close to the human MHC (major histocompatibility complex). In this paper, we define its localization within the MHC, around 100 kb telomeric to HLA-C, using a combination of physical and genetic analyses.