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1 GeneMapping Goes from FISH to Surfing the Net John Valdes and Danilo A. Tagle 1. Introduction The amval of the second millenmum will usher m unsurpassed information and knowledge of our genetic constitution, and will promise to revolutronize basic research and molecular medicine. The road toward a complete under- standing of our genetic makeup is largely the fruit of the Human Genome Project that has mmated, advanced, and made major strtdes in constructing genetic and physical maps of humans and other model organisms. Already enttre genomic sequences of a few prokaryottc organisms have become avarl- able with efforts toward completion of the budding yeast not too far behind. Genemappingand identification are critical steps m this ambitrous undertak- ing. Unfortunately, the identrficatton of genes, especially those responsible for the vast majority of inherited human disorders, must often proceed without any knowledge of then biochemical functions. To wit, positional clomng (I) has taken center stage toward the initial steps m the molecular characterization of the estimated 100,000 genes in the human genome. This approach has gar- nered over 60 “diseased” genes thus far, with many more to come as the pro- cess becomes more streamlined. Despite having achieved in the last several years a framework of genetic and physical maps of the human genome, none- theless the efficient and comprehensive isolation of transcribed sequences within large targeted genomic intervals remains a formidable task. The numer- ous chapters in this book document the creativity and ingenuity of various investigators and laboratories m this global effort. Our aim in this introductory chapter is to give an overvrew of genemappingand assess where approaches in geneisolation are headed m the near future. From Methods IR Molecular B/o/ogy, Vol 68 Gene lsolatfon and Mapprng Protocols Edlted by J Boultwood Humana Press Inc , Totowa, NJ 1 Valdes and Tag/e 7.7. ldenfifying and Defining the Chromosome of Interest The mapping of a gene that contains disease-causing mutations frequently begins with the assignment of the gene to a single chromosome or to a specific subchromosomal region. Chromosomal gene assignments can be accomplished in several ways. For diseases where a large collection of affected families exists, the gene can be locahzed by lmkage analysts which involves studying the segregation pattern of the disease phenotype with selected genetic markers within a pedigree. Statistical methods are used to determine the likelihood that the marker and disease are segregating Independently. If the chance of mde- pendent segregation 1s Cl in 1000 (an LOD score of 3), then lmkage 1s assumed. Identification of recombinant families using addmonal polymorphrc markers allows further delineation of the lmked interval. Linkage analysis has shown widespread success m mapping monogenic disorders that show clear Mende- lian inheritance patterns. The same principles are now bemg applied to poly- gemc diseases (those that show complex genetic patterns, likely owing to multiple genes and/or environmental factors acting m combmation), but this has proven difficult in practice (2). Proposed soluttons have mcluded use of standardized ascertainment and the incorporation of interference models (3,4), inclusion of larger sample sizes, or use of genetically homogeneous popula- tions in lmkage disequilibrium studies (5). Human-rodent somatic cell hybrids (either monochromosomal, regional/dele- tion, or radiation-reduced mapping panels) provide a convenient resource for mapping of genes by hybridization or polymerase chain reaction (PCR). Hybrid cell lines have also been useful in genetic complementation studies, such as in xeroderma plgmentosa and m Niemann-Pick disease (6). Aside from mapping, radiation hybrids provide additional information about the order and distance of markers/genes (7,s) where segments of DNA that are farther apart on a chro- mosome are more likely to be broken apart by radiation and thus segregate independently in the radiation hybrid cells than rf they were closely linked together. Fluorescence in situ hybridization (FISH) is also widely used to determine the chromosomal map location and the relative order of genes and DNA sequences within a chromosomal band. Unlike hybrid panel mapping where a cDNA clone or PCR primers are all that is needed, larger genomic clones, such as cosmids, are needed when mapping via FISH. However FISH can readily provide more precise regional mapping than regional or radiation panels. FISH can also detect aneuploidy, gene amplification, and subtle chromo- somal rearrangements. Discovery of a patient whose inherited disease has resulted from a visible chromosomal abnormality has often been the ‘Jackpot” that has accelerated efforts to clone the causal gene (9, IO). The ability to map by FISH most chromosomal translocations that interrupts or inactivates the GeneMapping Goes from FISH to Surfing the Net 3 gene has tremendous utility m the field of cancer genetics (II), where molecu- lar events leading to the loss of tumor suppressor genes (12) or the generation of fusion genes (13) can often be detected at the chromosome level. Usmg FISH on normal metaphase spreads, comparative genomic hybridization (CGH) allows total genome assessment of changes m relative copy number (regions of chromosomal loss, gain, or amplificattons) of DNA sequences using DNA probes derived from tumor cells (14). CGH has the potential to identify previously unknown regions involved m tumorigenesis. 1.2. Defining and Cloning the Physical Region Once a genomic interval has been defined for a disease locus, the gene map- ping efforts now shift toward constructmg a physical map of the candidate region, determining accurate distances between markers, and cloning the genomic segment m large insert clones. Physical distances can then be estab- lished and correlated with the genetic distance (e.g., if two marker probes hybridize to the same 250-kb fragment, then their maximum dtstance apart must be 250 kb). Physical distances between genomic markers can be refined with pulsed-field gel electrophoresis (PFGE) and a combination of rare cutting restriction enzymes. Because such enzymes occur in GC-rich sequences, the location of CpG islands, which are likely landmarks for expressed genes, can then be determined. The pulsed-field maps also provide a reliable method for verifying the extent of coverage of overlapping clones within a contig in rela- tion to the actual genomic distance. PFGE can also be used to compare patient and normal DNA samples, looking for genomic abnormalities that may have been too small to be detected by cytogenetic techniques (13). In long-range physical mapping, yeast artificial chromosomes (YACs) are the cloning library of choice because of their larger insert size, which means that fewer markers and clones are required to anchor and assemble the contig (15,26). Where a dense ordered array of markers is available, bacterial artifi- cial chromosomes (BACs), Pls, or even cosmids are preferred for screening despite their smaller insert sizes (120 kb for BACs, 95 kb for P 1 s and 40 kb for cosmids) because of their ease in purifying DNA, relative stability, and low frequency of chimerism compared to YAC clones. Genomic clones isolated for the candidate interval are analyzed for insert size and for degree of overlap by marker content mapping using sequence-tagged sites (STSs) and repetitive element fingerprint patterns. The clones or derivatives of it can be used as probes for chromosome walking until full coverage of the candidate interval are obtained. More importantly, these genomic clones provide a readily avail- able source of DNA for isolating additional markers, for use as FISH or hybridization probes, for generating sequence data, and for gene identification. 4 Valdes and Tag/e 1.3. Gene lsola tion Genetic linkage analysis and physical mapping experiments can often resolve the rough locatron of a gene to a region of 0.5-l centrmorgan (eqmva- lent to a frequency of 1 recombinant/l00 meloses), which IS approx 1 Mb. Such an interval may contain from 3G.50 genes, and rdenttfymg all the genes n-r such a region and finding the causative gene for the disorder has been a major bottleneck m most posmonal cloning projects. The choice of which gene cloning strategies to utrhze often depends on the available resources in a given laboratory. The common gene hunting methods can be divided mto hybrtdrza- non-based and functional detection of sequences involved m RNA splicing. Exon trapping identifies putative transcribed sequences from genomtc clones (often cosmlds as starting templates) based on splrcmg signals present m exon-mtron junctions. No assumptrons are made regarding the tissue-specific pattern of expression of a given gene or of its level of expression. The targeted exons can be internal (17,18) or directed toward the 3’-termmal exon (19). Numerous labs have applied the method successfully for both gene lsolatton (20,21) andmapping intron-exon boundaries of known genes (22). Transcribed sequences m genomtc DNA can also be detected by either using labeled cDNAs as hybridization probes on arrayed genomic clones (23) or the converse, where genomtc clones are used as probes against cDNA libraries (24,25). The former approach has taken on numerous permutations where the genomic YAC clones are either immobrlized on filters (26,27), brotmylated (28-301, or used in solutron hybrrdizatron schemes (32-34). These methodolo- gies assume some prior knowledge of the targeted gene’s expression level, since moderately to abundantly expressed messages are those usually obtained, as well as an idea on the proper tissue source of library to screen. Because the techniques are hybrrdrzatron-based, problems with sticky or GC-rich cDNAs, repeat sequences, and pseudogenes and related family gene family members frequently accompany the final product. None of the aforementtoned methodologtes are expected to garner full- length clones. The end points using these techniques are for the most part small exons or cDNA fragments that can then serve as additional expressed sequence tagged sites (ESTs) or probes for rsolatmg larger clones Other gene cloning strategies take advantage of certain features m the genomlc DNA or transcript. One such feature would be CpG islands that are areas of the human genome where the CpG dinucleotide is enriched (1 O-20 times greater than other regions). CpG islands tend to be associated with the 5’-ends of genes and can therefore provide a means of tsolatmg those genes. A recent survey of 375 genes m the GenBank database demonstrated that almost all housekeeping genes, and about 40% of tissue-specific genes are GeneMapping Goes from FISH to Surfing the Net 5 associated wtth these Islands (3.5). These Islands can be isolated by rare-cutting enzymes (36-38) or by PCR (39), and used as hybrrdrzatron probes against cDNA libraries. Another feature would be the differential expression pattern of genes in certain tissues. Subtraction techmques (40,41) have been used to isolate genes spectfic to one particular tissue source or developmental stage, This technique involves the use of a target cDNA hbrary (derived from a tissue where the desired gene IS likely to be expressed) and a drover cDNA library to subtract out most ubiquitously expressed sequences. Differential display (42-44) is another method for isolating genes that are unique to a partrcular cell type or developmental stage and allows the analysts of expressron patterns of multiple cell types. A third feature takes advantage of mutants m model organisms whose phenotype resembles that in human. The mouse genome (as well as that of other organisms) is also being investigated as part of the Human Genome Project. Mouse genetic studies are able to take advantage of selective breeding, short generation times, and backcrosses (matmg between two mice, one of which is homozygous for a recessive tract, in order to establish the genotype of the first). One possible approach to mappmg a gene is to isolate the mouse homolog, determine its genetic localization within the mouse genome, and then focus efforts on the part of the human genome to which it corresponds. Com- parative mapping between the mouse and human is fairly well defined: The entire genome can be separated into 68 homologous chromosomal regions (4.5,). The observatron and characterizatron of naturally occurrmg mouse mutants have also supplied model systems (46), as well as acceleratmg the search for human disease genes (45). 1.4. Future Directions There is no doubt that the number of genes being cloned by positional clon- ing approaches is increasing at a rapid rate (5). Most of these genes have been obtained using the methodologies outlined in this chapter. However newer resources being made accessible through the Human Genome Project are promising even to accelerate genemappingandisolation at a more rapid rate. With the increasing resolutton of the chromosome physical maps, it is now feasible to embark on large-scale genomic sequencing (47). This has become possible despite the lack of significant improvement in sequencing methodol- ogy, but through a combination of faster computational machines to store and analyze the data, ready availability of sequence-ready cosmtd clones and their derivatives, and dense mapping information to help minimize overlap of cosmid templates. Large-scale sequencing of genomtc clones has been com- ;sleted for a number of prokaryotic organisms (48,49) and implemented for 6 Valdes and Tag/e diseased loci (50) as an additional gene searching tool. Sequences are queried to the sequence databases and fed to the Gene Recognition and Analysis Internet Link (GRAIL) server for exon prediction through computational analy- sis of the sequence (51,.52). Another critical development is the concerted effort to develop a transcript map of the human genome that involves sequencing of human cDNA clones by the Washington University Genome Sequencing Center under the auspices of Merck (Whitehouse, NJ) (53). The centerpieces of this undertaking are the oligo(dT)-primed, directionally cloned and normalized cDNA clones from vari- ous tissue sources (54,55). Concomitant with the sequencing are efforts to develop these sequences into gene-based STSs, and place them on the physical map via YACs (56,57) and radiation hybrid maps. Although attempted in the past on a limited scale, it is projected that this endeavor will generate approx 400,000 ESTs by early this year (53). The sequences, mapping information, and homology results are easily accessible via World Wide Servers in the Internet. As the number of the mapped cDNAs increase, these ESTs automati- cally become candidate genes if they so happen to fall in an interval linked to a disease locus. The tremendous potential of this resource can be gleamed from recent statistics obtained by National Center of Biotechnology Information at the National Institutes of Health that 79% of positionally cloned genes are actually represented in the EST database (dBEST at http://www.ncbi. nlm.nih.gov/dbEST/index.html). Positional cloning will soon be simplified to a positional candidate approach where linkage of a particular monogenic or polygenic disorder to a particular chromosomal subregion will be followed by a survey of the interval for any interesting ESTs (5). References 1. Collins, F. S. (1991) Of needles and haystacks: finding human disease genes by positional cloning. Clin. Genet. 39, 615-623. 2. Bishop, D. T. (1994) Linkage analysis: progress and problems. Phil. Trans. R. Sot. Land. 344,337-343. 3. Cloninger, C. R. (1994) Turning point in the design of linkage studies of schizo- phrenia. Am. J. Med. Genet. 54, 83-92. 4. Karlin, S. and Liberman, U. (1994) Theoretical recombination processes incorpo- rating interference effects. Theor. Popul. Biol. 46, 198-23 1. 5. Collins, F. S. (1995) Positional cloning moves from perditional to traditional. Nut. Genet. 9, 347-350. 6. Kurimasa, A., Ohno, K. and Oshimura, M. (1993) Restoration of the cholesterol metabolism in 3T3 cell lines derived from the sphingomyelinosis mouse (spm/spm) by transfer of a human chromosome 18. Hum. Genet. 92,157-l 62. 7. Walter, M. A. and Goodfellow, P. N. (1993) Radiation hybrids: irradiation and fusion gene transfer. Trends Genet. 9,352-356. 8. James, M. R., Richard, C. W., III, Schott, J. J., Yoursy, C. , Clark, K., Bell, J., Tersilliger, J. D., Hazan, J., Dubay, C., Viginal, A., Agrapart, M., Imai, T., Nakamura, Y., Polymeropoulos, M., Weissenbach, J., Cox, D. R., and Lathrop, G. M. (1994) A radiation hybrid map of 506 STS markers spanning human chromo- some 11. Nut. Genet. 8,70-76. 9. Black, G. and Redmond, R. M. (1994) The molecular biology of Norrie’s disease. Eye 8,491-496. 10. Chotai, K. A., Brueton, L. A., van Herwerden, L., Garrett, C., Hinkel, G. K., Schinzel, A., Mueller, R. F., Speleman, F., and Winter, R. M. (1994) Six cases of 7p dele- tion: clinical, cytogenetic and molecular studies. Am. J. Med. Genet. 51,270-276. 11. Cohen, M. M., Rosenblum-Vos, L. S., and Prabhakar, G. (1993) Human cytoge- netics. Am. J. Dis. Child 147, 1159-l 166. 12. Johansson, B., Met-tens, F., and Mitelman, F. (1993) Cytogenetic deletion maps of hematologic neoplasms: circumstantial evidence for tumor suppressor loci. Genes Chromosomes Cancer 8,205-2 18. 13. Liu, P., Tarle, S. A., Hajra, A., Claxton, D. F., Marlton, P., Freedman, M., Siciliano, M. J., and Collins, F. S. (1993) Fusion between transcription factor CBF beta/PEBP2 beta and a myosin heavy chain in acute myeloid leukemia. Science 261, 1041-1044 14. Kallioniemi, A., Kallioniemi, 0. P., Sudar, D., Rutovitz, D., Gray, J. W., Waldman, F., and Pinkel, D. (1992) Comparative genomic hybridization: a rapid new method for detecting andmapping DNA amplification in tumors. Semin. Cancer Biol. 4,4 l-46. 15. Ramsay, M. (1994) Yeast artificial chromosome cloning. Mol. Biotechnol. 2, 181-201. 16. Khristich, J. V., Bailis, J., Diggle, K., Rodkins, A., Romo, A., Quackenbush, J., and Evans, G. A. (1994) Large-scale screening of yeast artificial chromosome libraries using PCR. BioTechniques 17,498-50 1. 17. Duyk, G. M., Kim, S., Myers, R. M., and Cox, D. R. (1990) Exon trapping: a genetic screen to identify candidate transcribed sequences in cloned mammalian genomic DNA. Proc. Natl. Acad. Sci. USA 87,8995-8999. 18. Buckler, A. J., Chang, D. D., Graw, S. L., Brook, J. D., Haber, D. A., Sharp, P. A., and Housman, D. E. (1991) Exon amplification: a strategy to isolate mammalian genes based on RNA splicing. Proc. Natl. Acad. Sci. USA 88,4005+009. 19. Krizman, D. B. and Berget, S. M. (1993) Efficient selection of 3’ terminal exons from vertebrate DNA, Nucleic Acids Res. 21,5 198-5202. 20. Abel, K. J., Castila, L. H., Buckler, A. J., Couch, F. J., Ho, P., Schaefer, I., Chandrasekharappa, S. C., Collins, F. S., and Weber, B. L. (1994) Isolation of gene sequences from the BRCAl region of chromosome 17q2 1 by exon ampliti- cation, in Identification of Transcribed Sequences (Hochgeschwender, U. and Gardiner, K., eds.), Plenum, New York, pp. 183-189. 21. Andreadis, A., Nisson, P. E., Koisk, K. S., and Watkins, P. C. (1993) The exon trapping assay partly discriminates against alternatively spliced exons. Nucleic Acids Res. 21,2217-2221. 8 Valdes and Tagle 22 Kwok, J B , Gardner, E., Warner, J. P., Ponder, B. A., and Mulligan, L. M. (1993) Structural analysis of the human ret proto-oncogene usmg exon trapping Oncogene 8,2575-2582. 23. Hochgeschwender, U , Sutcliffe, J G., and Brennan, M. B (1989) Construction and screening of a genomic library spectfic for mouse chromosome 16. Proc Nat1 Acad Scz USA 86,8482-8486. 24. Wallace, A4 R., Marchuk, D. A, Anderson, L. B., Letcher, R, Odeh, H. M , Saulmo, A M., Fountain, J. W , Brereton, A., Nicholson, J , and Mitchell, A. L. (1990) Type I neurolibromatosis gene: identification of a large transcript disrupted in three NFI patients. Science 249, 18 1-186 25. Elvm, P., Slynn, G., Black, D., Graham, A., Butler, R., Riley, J , Anand, R , and Markham, A. F. (1990) Isolation of cDNA clones using yeast artificial chromo- some probes. Nuclerc Aczds Res l&39 13-39 17 26 Lovett, M , Kere, J , and Hinton, L M. (1991) Direct selection: a method for the isolation of cDNAs encoded by large genomic regions. Proc. Nat1 Acad. Scz USA 88,9628-9632. 27. Parimoo, S., PatanJab, S R., Shukla, H., Chaplin, D. D., and Weissman, S. M. (1991) cDNA selection efficient PCR approach for the selection of cDNAs encoded m large chromosomal DNA fragments. Proc. Nat1 Acad. SCL USA 88, 9623-9627. 28 Korn, B , Sedlacel, Z., Manta, A, Kioschis, P., Koneckt, D., Lehrach, H., and Poustka, A (1992) A strategy for the selection of transcribed sequences m the Xq28 region. Hum Mol Genet. 1,235-242. 29. Morgan, J G., Dolganov, G. M., Robbms, S E., Hmton, L M., and Lovett, M (1992) The selective isolation of novel cDNAs encoded by the regions surround- ing the human mterleukm 4 and 5 genes Nucleic Acids Res 20, 5 173-5 179. 30. Tagle, D. A., Swaroop, M., Lovett, M., and Collms, F. S (1993) Magnetic bead capture of expressed sequences encoded within large genomic segments Nature 361,751-753. 3 1. Swaroop, A. and Yan, D. (1994) A sandwich-hybridtzation method for specific and efficient selection of cDNA clones from genomic regions, m Zdentificatzon of Transcrzbed Sequences (Hochgeschwender, U and Gardmer, K., eds.), Plenum, New York, pp. 91-100. 32. Jagadeeswaran, P., Odom, M. W., and Boland, E J. (1994) Novel strategy for isolating unknown coding sequences from genomic DNA by generating genomic- cDNA chimeras, in Identzjkatlon of Transcrzbed Sequences (Hochgeschwender, U. and Gardmer, K., eds.), Plenum, New York, pp 10 l-l 10. 33. Brookes, A. J. (1994) Identifymg and directly purifymg transcribed elements coincident sequence cloning, in Zdentzfzcation of Transcribed Sequences (Hoch- geschwender, U. and Gardiner, K , eds ), Plenum, New York, pp 111-122. 34. Hozier, J. C , Davis, L. M., Siebert, P. D., Dietrich, K., and Paterson, M C. (1994) Finding candidate genes by preparative zn sztu hybridization, m Identification of Transcribed Sequences (Hochgeschwender, U. and Gardmer, K., eds.), Plenum, New York, pp 123-138. GeneMapping Goes from FISH to Surfing the Net 9 35. Larsen, F., Solheim, J , Kristensen, T , Kolsto, A. B., and Prydz, H (1993) A tight cluster of five unrelated human genes on chromosome 16q22 1 Hum Mol. Genet 2,2589-2595 36. Larsen, F., Gundersen, G., Lopez, R., and Prydz, H. (1992) CpG Islands as gene markers m the human genome Genomzcs 13,1095-l 107 37. Bird, A. P. (1989) Two classes of observed frequency for rare-cutter sites m CpG islands Nucleic Aczds Res 17,9485. 38. Trtbtoh, C., Maestrmi, E., Bione, S., Tamamm, F., Mancini, M., Sala, C., Torrt, G , Rivella, S , and Toniolo, D. (1994) Identification of genes and construction of a transcriptional map in Xq28, m Identz$catzon of Transcrzbed Sequences (Hochgeschwender, U and Gardmer, K., eds ). Plenum, New York, pp. 5-10 39. Valdes, J. M., Tagle, D. A , and Collins, F. S. (1994) Island rescue PCR: a rapid and efficient method for isolating transcribed sequences from yeast arttfictal chro- mosomes and cosmids Proc Nat1 Acad. Sci USA 91,5377-538 1. 40 Swaroop, A., Xu, J , Pawar, H., Jackson, C., Skolmck, C., and Agarwal, N. (1992) A conserved retina-specific gene encodes a basic mottf/leucme zipper domam Proc Nat1 Acad Scz USA 89,266-270. 41. Gratas, C., Herlyn, M., and Becker, D. (1994) Isolationand analysts of novel human melanocyte-specific cDNA clones DNA Cell Biol 13, 5 15-5 19. 42. Liang, P , Averboukh, L , and Pardee, A. B. (1993) Distribution and cloning of eukaryottc mRNAs by means of differential display. refinements and optimization Nucleic Acids Res 21, 3269-3275 43. Liang, P., Averboukh, L., and Pardee, A. B (1993) Distribution and clonmg of eukaryotic mRNAs by means of differential display refinements and opttmtza- non. Nucleic Acids Res 21,3269-3275 44. Bauer, D , Muller, H., Reich, J., Riedel, H., Ahrenkiel, V., Warthoe, P., and Strauss, M. (1993) Identtfication of differentially expressed mRNA species by an improved display technique (DDRT-PCR) Nuclezc Aczds Res 21,4272-4280. 45. Delezoide, A. L and Vekemans, M. (1994) Waardenburg syndrome in man and splotch mutants m the mouse: a paradigm of the usefulness of linkage and synteny homologies m mouse and man for the genetic analysis of human congenital mal- formations Bzomed Pharmacother 48,335-339 46. Brown, S D. (1994) Integrating maps ofthe mouse genome. Curr Opznion Genet Dev. 4,389-394 47. Olson, M. V. (1995) A time to sequence. Science 270,394-396. 48. Fleischmann, R D., Adams, M. D., White, O., Clayton, R. A., Kirkness, E. F., Kerlavage, D R., et al (1995) Science 269,496-5 12 49. Fraser, C M , Gocayne, J. D., White, O., Adams, M. D., Clayton, R. A, Fleischmann, R. D., et al (1995) The minimal gene complement of Mycoplasma gemtahum Sczence 270, 397-403 50. Brody, L. C , Abel, K. J , Castilla, L H , Couch, F. J., McKinley, D. R., Yin, G. Y., Ho, P. P , MeraJver, S , Chandrasekharappa, S C., Xu, J , Cole, J. L , Struewmg, J P , Valdes, J M., Colhns, F. S , and Weber, B. L. (1995) Construction of a transcription map surrounding the BRCAl locus of human chromosome 17 Genomzcs 25,238-247. IO Valdes and Tag/e 5 1 Uberbacher, E C and Mural, R. J (1991) Locating protein-coding regions in human DNA sequences by a multiple sensor-neural network approach Proc Nat1 Acad Scl USA 88, 11,261-l 1,265. 52. Shah, M. B., Guan, X., Einstein, J. R., Matls, S., Xu, Y , Mural, R. J , and Uberbacher, E. C. (1994) User’s guide to GRAIL and GENQUEST (sequence analysis, gene assembly and sequence comparison systems) e-mail servers and XGRAIL (Version 1 2) and XGENQUEST (Version 1 1) client-server systems Available by anonymous ftp to arthur.epm.oml. gov (128 219.9.76) from direc- tory pub/xgrail or pub/xgenQuest as file Manual grail-genquest 53. Boguski, M. and Schuler, G. D. (1995) ESTabhshing a human transcript map Nat Genet 10,369-371. 54. Soares, M. B., Bonaldo, M F., Jelene, P., Su, L , Lawton, L., and Efstrattadrs, A (1994) Construction and characterization of a normalized cDNA library Proc Nat1 Acad. Sci USA 91,228-232 55. Adams, M D., Soares, M. B., Kerlavage, A. R., Fields, C., and Venter, J. C. (1993) Rapid cDNA sequencing (expressed sequence tags) from a dnectionally cloned human mfant brain cDNA library. Nut Genet. 4,373-380 56 Polymeropoulos, M. H , Xiao, H., Sikela, J M , Adams, M , Venter, J C., and Merril, C. R. (1993) Chromosomal drstribution of 320 genes from a brain cDNA library Nat. Genet 4,381-386. 57. Berry, R , Stevens, T. J., Walter, N. A, Wilcox, A S , Rubano, T., Hopkins, J. A , Weber, J., Goold, R., Soares, M B , and Sikela, J M (1995) Gene-based sequence-tagged-sites (STSs) as the basis for a human gene map. Nat Genet 10, 415-423. [...]... allele 1 of Dl 1 and allele 3 of Ml 5 Mr and Mrs Smith have four children, two boys and two girls One of the boys and one of the girls has red hair Both of the red-haired children have the alleles 2 and 3 at locus Dl 1 The boy also carries alleles 1 and 3 at locus M15, whereas the girl carries alleles 2 and 5 The brown-haired boy carries alleles 1 and 4 at locus D 11, and alleles 1 and 2 at Ml 5, whereas... genotype and phenotype makes genetic studies difficult; however, several genetic epidemiology approaches are helpful m determining if there is a genetic component to a complex disorder These approaches are used to determine whether a disorder is caused by environmental factors, polygenes (several genes affect the disorder, From Methods in Molecular B/ology, Edlted by J Boultwood Vol 68 Gene /so/at/on and Mapping. .. with the disorder are affected by some other mechanism and do not have the susceptibility gene under study (possibly a different gene) ; 4 Heterogeneity-some affected famthes have a genetic defect m another locus and thus do not have the susceptibrhty gene under study; and 5 Ohgogemc inherrtancea disease phenotype is the result of several defectrve genes, erther additrve or mteractrve Thus, in a given... analysts under “random” and “genetic” reduced penetrance Genet Epldemlol 6,259-264 16 Xu, J., Levitt, R C , Panhuysen, C I M , Postma, D S., Taylor, E W., Amelung, P J , Holroyd, K J , Bleecker, E R., and Meyers, D A (1995) Evidence for two unlmked loci regulating total serum IgE levels Am J Hum Genet 57,425+30 17 Thomson, G (1994) Identifying complex drsease genes: progress and paradigms Nature Genet 8, 108-l... Mendehan principle of independent, or random, assortment of gene pairs when transmitted from generation to generation Two genes are said to be completely linked (see Section 4.1 for defimttons of genetic terms) when there is no recombination between them; the same alleles or phenotypes are always transmitted together from generation to generation within a family Two genes are completely unlinked if they... subsequent genettc linkage analysis, and the calculation of gene frequencies The ordering of several markers, if unknown, into a genetic map, and the calculation of recombination fractions and genetic distance between the markers is then examined Finally the placing of a new locus, such as a phenotype or a disease locus, on this known genetic map is covered This chapter concentrates on the use of the Genetic... Analysis of Genetic Disorders Eugene W Taylor, Jianfeng and Deborah A Meyers Xu, Ethylin Wang Jabs, 1 Introduction 1 1 Definition Genetic disorders follow a classic Mendelian dominant or recessive singlelocus pattern of inheritance or a complex genetic pattern (multiple genes and environmental influences) In general, the complexity arises when the simple correspondence between genotype and phenotype... parents are called 1 and 2, the children are 3,4, and 5, and 6 and 7 are the paternal grandparents The next two columns contains the identification for the father and mother, respectively, of each person, if the father appears m the pedigree in your database Therefore, the paternal and maternal identification for the father of this pedigree is 6 and 7, respectively, but the mother’s father and mother do not... important that the clinical, analytical, and molecular investigators be involved in all steps in the process Mapping genes for complex disorders is often more difficult than mapping genes for Mendelian disorders, but both may prove to be very important in understanding disease processesand designing new treatments Practical use of computer programs available for genetic analysis is detailed elsewhere... and quantitative traits Am J, Hum Genet 57, 439-454 23 Hodge, S E and Elston, E R (1994) Lods, Wrods and Mods: the interpretation of lod scores calculated under different models Genet Epldemiol 11,32%342 24 Terwtlhger, J D and Ott, J (1994) Handbook of Human Genetzc Lznkuge Johns Hopkins Umverstty Press, Baltimore, MD 3 Gene Ordering and Localization by Linkage Analysis R E March 1 Introduction The . hybridization probes, for generating sequence data, and for gene identification. 4 Valdes and Tag/e 1.3. Gene lsola tion Genetic linkage analysis and physical mapping experiments can often. almost all housekeeping genes, and about 40% of tissue-specific genes are Gene Mapping Goes from FISH to Surfing the Net 5 associated wtth these Islands (3.5). These Islands can be isolated by. creativity and ingenuity of various investigators and laboratories m this global effort. Our aim in this introductory chapter is to give an overvrew of gene mapping and assess where approaches in gene