751
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Nopola-Hemmi J, Taipale M, Haltia T, Lehesjoki AE, Voutilainen A, Kere J. Two translocations of chromosome 15q associated with dyslexia. J Med Genet 2000; 37:771-5. [PMID: 11015455 PMCID: PMC1757170 DOI: 10.1136/jmg.37.10.771] [Citation(s) in RCA: 69] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Developmental dyslexia is characterised by difficulties in learning to read. As reading is a complex cognitive process, multiple genes are expected to contribute to the pathogenesis of dyslexia. The genetics of dyslexia has been a target of molecular studies during recent years, but so far no genes have been identified. However, a locus for dyslexia on chromosome 15q21 (DYX1) has been established in previous linkage studies. We have identified two families with balanced translocations involving the 15q21-q22 region. In one family, the translocation segregates with specific dyslexia in three family members. In the other family, the translocation is associated with dyslexia in one family member. We have performed fluorescence in situ hybridisation (FISH) studies to refine the position of the putative dyslexia locus further. Our results indicate that both translocation breakpoints on 15q map within an interval of approximately 6-8 Mb between markers D15S143 and D15S1029, further supporting the presence of a locus for specific dyslexia on 15q21.
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Affiliation(s)
- J Nopola-Hemmi
- Department of Paediatric Neurology, Hospital for Children and Adolescents, University of Helsinki, Finland
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752
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Casey M, Vaughan CJ, He J, Hatcher CJ, Winter JM, Weremowicz S, Montgomery K, Kucherlapati R, Morton CC, Basson CT. Mutations in the protein kinase A R1alpha regulatory subunit cause familial cardiac myxomas and Carney complex. J Clin Invest 2000; 106:R31-8. [PMID: 10974026 PMCID: PMC381290 DOI: 10.1172/jci10841] [Citation(s) in RCA: 171] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
Cardiac myxomas are benign mesenchymal tumors that can present as components of the human autosomal dominant disorder Carney complex. Syndromic cardiac myxomas are associated with spotty pigmentation of the skin and endocrinopathy. Our linkage analysis mapped a Carney complex gene defect to chromosome 17q24. We now demonstrate that the PRKAR1alpha gene encoding the R1alpha regulatory subunit of cAMP-dependent protein kinase A (PKA) maps to this chromosome 17q24 locus. Furthermore, we show that PRKAR1alpha frameshift mutations in three unrelated families result in haploinsufficiency of R1alpha and cause Carney complex. We did not detect any truncated R1alpha protein encoded by mutant PRKAR1alpha. Although cardiac tumorigenesis may require a second somatic mutation, DNA and protein analyses of an atrial myxoma resected from a Carney complex patient with a PRKAR1alpha deletion revealed that the myxoma cells retain both the wild-type and the mutant PRKAR1alpha alleles and that wild-type R1alpha protein is stably expressed. However, in this atrial myxoma, we did observe a reversal of the ratio of R1alpha to R2beta regulatory subunit protein, which may contribute to tumorigenesis. Further investigation will elucidate the cell-specific effects of PRKAR1alpha haploinsufficiency on PKA activity and the role of PKA in cardiac growth and differentiation.
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Affiliation(s)
- M Casey
- Molecular Cardiology Laboratory, Cardiology Division, Department of Medicine, Weill Medical College of Cornell University, New York, New York, USA
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753
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Puttagunta R, Gordon LA, Meyer GE, Kapfhamer D, Lamerdin JE, Kantheti P, Portman KM, Chung WK, Jenne DE, Olsen AS, Burmeister M. Comparative maps of human 19p13.3 and mouse chromosome 10 allow identification of sequences at evolutionary breakpoints. Genome Res 2000; 10:1369-80. [PMID: 10984455 PMCID: PMC310909 DOI: 10.1101/gr.145200] [Citation(s) in RCA: 31] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023]
Abstract
A cosmid/bacterial artificial chromosome (BAC) contiguous (contig) map of human chromosome (HSA) 19p13.3 has been constructed, and over 50 genes have been localized to the contig. Genes and anonymous ESTs from approximately 4000 kb of human 19p13.3 were placed on the central mouse chromosome 10 map by genetic mapping and pulsed-field gel electrophoresis (PFGE) analysis. A region of approximately 2500 kb of HSA 19p13.3 is collinear to mouse chromosome (MMU) 10. In contrast, the adjacent approximately 1200 kb are inverted. Two genes are located in a 50-kb region after the inversion on MMU 10, followed by a region of homology to mouse chromosome 17. The synteny breakpoint and one of the inversion breakpoints has been localized to sequenced regions in human <5 kb in size. Both breakpoints are rich in simple tandem repeats, including (TCTG)n, (CT)n, and (GTCTCT)n, suggesting that simple repeat sequences may be involved in chromosome breaks during evolution. The overall size of the region in mouse is smaller, although no large regions are missing. Comparing the physical maps to the genetic maps showed that in contrast to the higher-than-average rate of genetic recombination in gene-rich telomeric region on HSA 19p13.3, the average rate of recombination is lower than expected in the homologous mouse region. This might indicate that a hot spot of recombination may have been lost in mouse or gained in human during evolution, or that the position of sequences along the chromosome (telomeric compared to the middle of a chromosome) is important for recombination rates.
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MESH Headings
- Animals
- Chromosome Breakage/genetics
- Chromosome Inversion
- Chromosomes, Bacterial/genetics
- Chromosomes, Human, Pair 19/genetics
- Cosmids/genetics
- Electrophoresis, Gel, Pulsed-Field
- Evolution, Molecular
- Female
- Genetic Markers/genetics
- Humans
- Male
- Mice
- Mice, Inbred C57BL
- Mice, Neurologic Mutants
- Physical Chromosome Mapping
- Repetitive Sequences, Nucleic Acid
- Sequence Homology, Nucleic Acid
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Affiliation(s)
- R Puttagunta
- Mental Health Research Institute, University of Michigan, Ann Arbor, Michigan 48109, USA
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754
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Lynn A, Kashuk C, Petersen MB, Bailey JA, Cox DR, Antonarakis SE, Chakravarti A. Patterns of meiotic recombination on the long arm of human chromosome 21. Genome Res 2000; 10:1319-32. [PMID: 10984450 DOI: 10.1101/gr.138100] [Citation(s) in RCA: 39] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
In this study we quantify the features of meiotic recombination on the long arm of human chromosome 21. We constructed a 67. 3-centimorgan (cM) high-resolution, comprehensive, and accurate genetic linkage map of chromosome 21q using 187 highly polymorphic markers covering almost the entire long arm; 46 loci, consisting of mutually recombining marker sets, were ordered with greater than 1000:1 odds and with average interlocus distance of 1.46 cM. These markers were used to accurately identify all exchanges in 186 female and 160 male meioses and to show (1) significant excess of recombination in female versus male meioses, (2) an overall decline in female:male recombination between the centromere and the telomere, (3) greater positive chiasma interference in male than in female meioses, and (4) lack of correlation between exchange frequency and parental age. By comparing the genetic map with the 21q sequence map, we show a general trend of increasing male, but near-constant female, recombination versus physical distance across 21q, explaining the gender-specific recombination effect. The recombination rate varies considerably between genders across 21q but is the greatest (eightfold) in the pericentromeric region, with a rate of approximately 250 kb/cM in females and approximately 2125 kb/cM in males. We used information on the locations of all exchanges to construct an empirical map function that confirms the statistical findings of positive interference. These analyses reveal that occurrence of recombination on 21q is not only gender-specific but also region-specific and that recombination suppression at the centromere is not universal. We also find evidence that male exchange location is highly correlated with gene density.
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Affiliation(s)
- A Lynn
- Department of Genetics and Center for Human Genetics, Case Western Reserve University and University Hospitals of Cleveland, Cleveland, Ohio 44106, USA
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755
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Bosse K, Betz RC, Lee YA, Wienker TF, Reis A, Kleen H, Propping P, Cichon S, Nöthen MM. Localization of a gene for syndactyly type 1 to chromosome 2q34-q36. Am J Hum Genet 2000; 67:492-7. [PMID: 10877983 PMCID: PMC1287194 DOI: 10.1086/303028] [Citation(s) in RCA: 39] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2000] [Accepted: 06/21/2000] [Indexed: 01/08/2023] Open
Abstract
Syndactyly type 1 (SD1) is an autosomal dominant limb malformation characterized in its classical form by complete or partial webbing between the third and fourth fingers and/or the second and third toes. After exclusion of a candidate region previously identified for syndactyly type 2 (synpolydactyly), we performed a genomewide linkage analysis in a large German pedigree. We found evidence for linkage of SD1 to polymorphic markers on chromosome 2q34-q36, with a maximum LOD score of 12.40 for marker D2S301. Key recombination events in affected individuals defined a 9.4-cM region between markers D2S2319 and D2S344. The identification of the responsible gene will give further insights into the molecular basis of limb development.
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Affiliation(s)
- Kristin Bosse
- Institutes of Human Genetics and Medical Biometry, Informatics, and Epidemiology, University of Bonn, Bonn; Gene Mapping Center, Max-Delbrück Centrum, and Department of Pediatrics, Pneumology, and Immunology and Institute of Human Genetics, Humboldt-University Berlin, Berlin; and Kreiskrankenhaus Aurich, Aurich, Germany
| | - Regina C. Betz
- Institutes of Human Genetics and Medical Biometry, Informatics, and Epidemiology, University of Bonn, Bonn; Gene Mapping Center, Max-Delbrück Centrum, and Department of Pediatrics, Pneumology, and Immunology and Institute of Human Genetics, Humboldt-University Berlin, Berlin; and Kreiskrankenhaus Aurich, Aurich, Germany
| | - Young-Ae Lee
- Institutes of Human Genetics and Medical Biometry, Informatics, and Epidemiology, University of Bonn, Bonn; Gene Mapping Center, Max-Delbrück Centrum, and Department of Pediatrics, Pneumology, and Immunology and Institute of Human Genetics, Humboldt-University Berlin, Berlin; and Kreiskrankenhaus Aurich, Aurich, Germany
| | - Thomas F. Wienker
- Institutes of Human Genetics and Medical Biometry, Informatics, and Epidemiology, University of Bonn, Bonn; Gene Mapping Center, Max-Delbrück Centrum, and Department of Pediatrics, Pneumology, and Immunology and Institute of Human Genetics, Humboldt-University Berlin, Berlin; and Kreiskrankenhaus Aurich, Aurich, Germany
| | - André Reis
- Institutes of Human Genetics and Medical Biometry, Informatics, and Epidemiology, University of Bonn, Bonn; Gene Mapping Center, Max-Delbrück Centrum, and Department of Pediatrics, Pneumology, and Immunology and Institute of Human Genetics, Humboldt-University Berlin, Berlin; and Kreiskrankenhaus Aurich, Aurich, Germany
| | - Heidi Kleen
- Institutes of Human Genetics and Medical Biometry, Informatics, and Epidemiology, University of Bonn, Bonn; Gene Mapping Center, Max-Delbrück Centrum, and Department of Pediatrics, Pneumology, and Immunology and Institute of Human Genetics, Humboldt-University Berlin, Berlin; and Kreiskrankenhaus Aurich, Aurich, Germany
| | - Peter Propping
- Institutes of Human Genetics and Medical Biometry, Informatics, and Epidemiology, University of Bonn, Bonn; Gene Mapping Center, Max-Delbrück Centrum, and Department of Pediatrics, Pneumology, and Immunology and Institute of Human Genetics, Humboldt-University Berlin, Berlin; and Kreiskrankenhaus Aurich, Aurich, Germany
| | - Sven Cichon
- Institutes of Human Genetics and Medical Biometry, Informatics, and Epidemiology, University of Bonn, Bonn; Gene Mapping Center, Max-Delbrück Centrum, and Department of Pediatrics, Pneumology, and Immunology and Institute of Human Genetics, Humboldt-University Berlin, Berlin; and Kreiskrankenhaus Aurich, Aurich, Germany
| | - Markus M. Nöthen
- Institutes of Human Genetics and Medical Biometry, Informatics, and Epidemiology, University of Bonn, Bonn; Gene Mapping Center, Max-Delbrück Centrum, and Department of Pediatrics, Pneumology, and Immunology and Institute of Human Genetics, Humboldt-University Berlin, Berlin; and Kreiskrankenhaus Aurich, Aurich, Germany
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756
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Clifford R, Edmonson M, Hu Y, Nguyen C, Scherpbier T, Buetow KH. Expression-based genetic/physical maps of single-nucleotide polymorphisms identified by the cancer genome anatomy project. Genome Res 2000; 10:1259-65. [PMID: 10958644 PMCID: PMC310932 DOI: 10.1101/gr.10.8.1259] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
SNPs (Single-Nucleotide Polymorphisms), the most common DNA variant in humans, represent a valuable resource for the genetic analysis of cancer and other illnesses. These markers may be used in a variety of ways to investigate the genetic underpinnings of disease. In gene-based studies, the correlations between allelic variants of genes of interest and particular disease states are assessed. An extensive collection of SNP markers may enable entire molecular pathways regulating cell metabolism, growth, or differentiation to be analyzed by this approach. In addition, high-resolution genetic maps based on SNPs will greatly facilitate linkage analysis and positional cloning. The National Cancer Institute's CGAP-GAI (Cancer Genome Anatomy Project Genetic Annotation Initiative) group has identified 10,243 SNPs by examining publicly available EST (Expressed Sequence Tag) chromatograms. More than 6800 of these polymorphisms have been placed on expression-based integrated genetic/physical maps. In addition to a set of comprehensive SNP maps, we have produced maps containing single nucleotide polymorphisms in genes expressed in breast, colon, kidney, liver, lung, or prostate tissue. The integrated maps, a SNP search engine, and a Java-based tool for viewing candidate SNPs in the context of EST assemblies can be accessed via the CGAP-GAI web site (http://cgap.nci.nih.gov/GAI/). Our SNP detection tools are available to the public for noncommercial use.
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Affiliation(s)
- R Clifford
- Laboratory of Population Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland 20892 USA
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757
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Abstract
The rate of meiotic recombination is not a constant function of physical distance across chromosomes. This variation is manifested by recombination hot spots and cold spots, observed in all organisms ranging from bacteria to humans. It is generally believed that factors such as primary and secondary DNA sequence, as well as chromatin structure and associated proteins, influence the frequency of recombination within a specific region. Several such factors, for example repetitive sequences, gene promoters, or regions with the ability to adopt Z-DNA conformation, have been hypothesized to enhance recombination. However, apart from specific examples, no general trends of association between recombination rates and particular DNA sequence motifs have been reported. In this paper, we analyze the complete sequence data from human chromosome 22 and compare microsatellite repeat distributions with mitotic recombination patterns available from earlier genetic studies. We show significant correlation between long tandem GT repeats, which are known to form Z-DNA and interact with several components of the recombination machinery, and recombination hot spots on human chromosome 22.
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Affiliation(s)
- J Majewski
- Laboratory of Statistical Genetics, Rockefeller University, New York, New York 10021, USA.
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758
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Meins M, Henderson DJ, Bhattacharya SS, Sowden JC. Characterization of the human TBX20 gene, a new member of the T-Box gene family closely related to the Drosophila H15 gene. Genomics 2000; 67:317-32. [PMID: 10936053 DOI: 10.1006/geno.2000.6249] [Citation(s) in RCA: 40] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
T-box transcription factors contain a novel type of DNA-binding domain, the T-box domain, and are encoded by an ancient gene family. Four T-box genes, omb, Trg, org-1, and H15, have been identified in Drosophila, whereas in mammals the T-box gene family has expanded, and 12 human T-box genes have been isolated. We have identified a new human T-box gene, TBX20, and its mouse homologue Tbx20, which are more closely related to the Drosophila H15 gene than to any known vertebrate gene. H15 expression in leg imaginal discs correlates with commitment to a ventral fate, implicating this gene in early patterning events. We find that TBX20 is expressed in the fetal heart, eye, and limb, and during embryogenesis in the mouse, Tbx20 is expressed in the developing heart, eye, ventral neural tube, and limbs, indicating a possible role in regulating development of these tissues. The TBX20 gene maps to chromosome 7p14-p15. An association between TBX20 and loci for retinitis pigmentosa, RP9, and blepharophimosis syndrome, BPES, have been excluded.
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Affiliation(s)
- M Meins
- Developmental Biology Unit, Neural Development Unit, Institute of Child Health, University College London, London, United Kingdom
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759
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Dupuis J, Van Eerdewegh P. Multipoint linkage analysis of the pseudoautosomal regions, using affected sibling pairs. Am J Hum Genet 2000; 67:462-75. [PMID: 10869236 PMCID: PMC1287190 DOI: 10.1086/303008] [Citation(s) in RCA: 11] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2000] [Accepted: 05/17/2000] [Indexed: 11/03/2022] Open
Abstract
Affected sibling pairs are often the design of choice in linkage-analysis studies with the goal of identifying the genes that increase susceptibility to complex diseases. Methods for multipoint analysis based on sibling amount of sharing that is identical by descent are widely available, for both autosomal and X-linked markers. Such methods have the advantage of making few assumptions about the mode of inheritance of the disease. However, with this approach, data from the pseudoautosomal regions on the X chromosome pose special challenges. Same-sex sibling pairs will share, in that region of the genome, more genetic material identical by descent, with and without the presence of a disease-susceptibility gene. This increased sharing will be more pronounced for markers closely linked to the sex-specific region. For the same reason, opposite-sex sibling pairs will share fewer alleles identical by descent. Failure to take this inequality in sharing into account may result in a false declaration of linkage if the study sample contains an excess of sex-concordant pairs, or a linkage may be missed when an excess of sex-discordant pairs is present. We propose a method to take into account this expected increase/decrease in sharing when markers in the pseudoautosomal region are analyzed. For quantitative traits, we demonstrate, using the Haseman-Elston method, (1) the same inflation in type I error, in the absence of an appropriate correction, and (2) the inadequacy of permutation tests to estimate levels of significance when all phenotypic values are permuted, irrespective of gender. The proposed method is illustrated with a genome screen on 350 sibling pairs affected with type I diabetes.
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Affiliation(s)
- J Dupuis
- Genome Therapeutics Corporation, Waltham, MA, 02453, USA.
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760
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Kniazeva M, Traboulsi EI, Yu Z, Stefko ST, Gorin MB, Shugart YY, O'Connell JR, Blaschak CJ, Cutting G, Han M, Zhang K. A new locus for dominant drusen and macular degeneration maps to chromosome 6q14. Am J Ophthalmol 2000; 130:197-202. [PMID: 11004294 DOI: 10.1016/s0002-9394(00)00585-7] [Citation(s) in RCA: 21] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
Abstract
PURPOSE To report the localization of a gene causing drusen and macular degeneration in a previously undescribed North American family. METHODS Genetic mapping studies were performed using linkage analysis in a single family with drusen and atrophic macular degeneration. RESULTS The clinical manifestations in this family ranged from fine macular drusen in asymptomatic middle-aged individuals to atrophic macular lesions in two children and two elderly patients. We mapped the gene to chromosome 6q14 between markers D6S2258 and D6S1644. CONCLUSIONS In a family with autosomal dominant drusen and atrophic macular degeneration, the gene maps to a 3.2-cM region on chromosome 6q14. This locus appears to be distinct from, but adjacent to, the loci for cone-rod dystrophy 7 (CORD7) and North Carolina macular dystrophy (MCDR1). Future identification of the gene responsible for the disease in this family will provide a better understanding of macular degeneration.
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Affiliation(s)
- M Kniazeva
- MCDB Department and Howard Hughes Medical Institute, University of Colorado at Boulder, Colorado, USA
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761
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Hu FZ, Preston RA, Post JC, White GJ, Kikuchi LW, Wang X, Leal SM, Levenstien MA, Ott J, Self TW, Allen G, Stiffler RS, McGraw C, Pulsifer-Anderson EA, Ehrlich GD. Mapping of a gene for severe pediatric gastroesophageal reflux to chromosome 13q14. JAMA 2000; 284:325-34. [PMID: 10891964 PMCID: PMC6148744 DOI: 10.1001/jama.284.3.325] [Citation(s) in RCA: 87] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/23/2023]
Abstract
CONTEXT Gastroesophageal reflux (GER) has not previously been widely regarded as a hereditary disease. A few reports have suggested, however, that a genetic component may contribute to the incidence of GER, especially in its severe or chronic forms. OBJECTIVE To identify a genetic locus that cosegregates with a severe pediatric GER phenotype in families with multiple affected members. DESIGN A genome-wide scan of families affected by severe pediatric GER using polymorphic microsatellite markers spaced at an average of 8 centimorgans (cM), followed by haplotyping and by pairwise and multipoint linkage analyses. SETTING General US community, with research performed in a university tertiary care hospital. SUBJECTS Affected and unaffected family members from 5 families having multiple individuals affected by severe pediatric GER, identified through a patient support group. MAIN OUTCOME MEASURES Determination of inheritance patterns and linkage of a genetic locus with the severe pediatric GER phenotype by logarithm-of-odds (lod) score analysis, considering a lod score of 3 or greater as evidence of linkage. RESULTS In these families, severe pediatric GER followed an autosomal dominant hereditary pattern with high penetrance. A gene for severe pediatric GER was mapped to a 13-cM region on chromosome 13q between microsatellite markers D13S171 and D13S263. A maximum multifamily 2-point lod score of 5.58 and a maximum multifamily multipoint lod score of 7.15 were obtained for marker D13S1253 at map position 35 cM when presumptively affected persons were modeled as unknown (a maximum multipoint score of 4.88 was obtained when presumptively affected persons were modeled as unaffected). CONCLUSION These data suggest that a gene for severe pediatric GER maps to chromosome 13q14. JAMA. 2000;284:325-334
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Affiliation(s)
- F Z Hu
- Center for Genomic Sciences, Room 1030, Allegheny General Hospital, 320 E North Ave, Pittsburgh, PA 15212, USA
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762
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Gibbs M, Stanford JL, Jarvik GP, Janer M, Badzioch M, Peters MA, Goode EL, Kolb S, Chakrabarti L, Shook M, Basom R, Ostrander EA, Hood L. A genomic scan of families with prostate cancer identifies multiple regions of interest. Am J Hum Genet 2000; 67:100-9. [PMID: 10820127 PMCID: PMC1287067 DOI: 10.1086/302969] [Citation(s) in RCA: 67] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2000] [Accepted: 04/20/2000] [Indexed: 11/04/2022] Open
Abstract
A 10-cM genomewide scan of 94 families with hereditary prostate cancer, including 432 affected men, was used to identify regions of putative prostate cancer-susceptibility loci. There was an average of 3.6 affected, genotyped men per family, and an overall mean age at diagnosis of 65.4 years. A total of 50 families were classified as early onset (mean age at diagnosis <66 years), and 44 families were classified as later onset (mean age at diagnosis > or =66 years). When the entire data set is considered, regions of interest (LOD score > or =1.5) were identified on chromosomes 10, 12, and 14, with a dominant model of inheritance. Under a recessive model LOD scores > or =1.5 were found on chromosomes 1, 8, 10, and 16. Stratification by age at diagnosis highlighted a putative susceptibility locus on chromosome 11, among the later-onset families, with a LOD score of 3. 02 (recombination fraction 0) at marker ATA34E08. Overall, this genomic scan suggests that there are multiple prostate cancer loci responsible for the hereditary form of this common and complex disease and that stratification by a variety of factors will be required for identification of all relevant genes.
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Affiliation(s)
- Mark Gibbs
- Divisions of Human Biology and Clinical Research and Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Department of Epidemiology, School of Public Health & Community Medicine, and Department of Molecular Biotechnology, University of Washington, and Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle
| | - Janet L. Stanford
- Divisions of Human Biology and Clinical Research and Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Department of Epidemiology, School of Public Health & Community Medicine, and Department of Molecular Biotechnology, University of Washington, and Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle
| | - Gail P. Jarvik
- Divisions of Human Biology and Clinical Research and Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Department of Epidemiology, School of Public Health & Community Medicine, and Department of Molecular Biotechnology, University of Washington, and Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle
| | - Marta Janer
- Divisions of Human Biology and Clinical Research and Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Department of Epidemiology, School of Public Health & Community Medicine, and Department of Molecular Biotechnology, University of Washington, and Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle
| | - Michael Badzioch
- Divisions of Human Biology and Clinical Research and Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Department of Epidemiology, School of Public Health & Community Medicine, and Department of Molecular Biotechnology, University of Washington, and Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle
| | - Mette A. Peters
- Divisions of Human Biology and Clinical Research and Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Department of Epidemiology, School of Public Health & Community Medicine, and Department of Molecular Biotechnology, University of Washington, and Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle
| | - Ellen L. Goode
- Divisions of Human Biology and Clinical Research and Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Department of Epidemiology, School of Public Health & Community Medicine, and Department of Molecular Biotechnology, University of Washington, and Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle
| | - Suzanne Kolb
- Divisions of Human Biology and Clinical Research and Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Department of Epidemiology, School of Public Health & Community Medicine, and Department of Molecular Biotechnology, University of Washington, and Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle
| | - Lisa Chakrabarti
- Divisions of Human Biology and Clinical Research and Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Department of Epidemiology, School of Public Health & Community Medicine, and Department of Molecular Biotechnology, University of Washington, and Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle
| | - Morgan Shook
- Divisions of Human Biology and Clinical Research and Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Department of Epidemiology, School of Public Health & Community Medicine, and Department of Molecular Biotechnology, University of Washington, and Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle
| | - Ryan Basom
- Divisions of Human Biology and Clinical Research and Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Department of Epidemiology, School of Public Health & Community Medicine, and Department of Molecular Biotechnology, University of Washington, and Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle
| | - Elaine A. Ostrander
- Divisions of Human Biology and Clinical Research and Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Department of Epidemiology, School of Public Health & Community Medicine, and Department of Molecular Biotechnology, University of Washington, and Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle
| | - Leroy Hood
- Divisions of Human Biology and Clinical Research and Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Department of Epidemiology, School of Public Health & Community Medicine, and Department of Molecular Biotechnology, University of Washington, and Department of Medicine, Division of Medical Genetics, University of Washington Medical Center, Seattle
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763
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Abstract
Positive selection can be inferred from its effect on linked neutral variation. In the restrictive case when there is no recombination, all linked variation is removed. If recombination is present but rare, both deterministic and stochastic models of positive selection show that linked variation hitchhikes to either low or high frequencies. While the frequency distribution of variation can be influenced by a number of evolutionary processes, an excess of derived variants at high frequency is a unique pattern produced by hitchhiking (derived refers to the nonancestral state as determined from an outgroup). We adopt a statistic, H, to measure an excess of high compared to intermediate frequency variants. Only a few high-frequency variants are needed to detect hitchhiking since not many are expected under neutrality. This is of particular utility in regions of low recombination where there is not much variation and in regions of normal or high recombination, where the hitchhiking effect can be limited to a small (<1 kb) region. Application of the H test to published surveys of Drosophila variation reveals an excess of high frequency variants that are likely to have been influenced by positive selection.
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Affiliation(s)
- J C Fay
- Committee on Genetics, University of Chicago, Chicago, Illinois 60637, USA
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764
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Witte JS, Goddard KA, Conti DV, Elston RC, Lin J, Suarez BK, Broman KW, Burmester JK, Weber JL, Catalona WJ. Genomewide scan for prostate cancer-aggressiveness loci. Am J Hum Genet 2000; 67:92-9. [PMID: 10825281 PMCID: PMC1287106 DOI: 10.1086/302960] [Citation(s) in RCA: 117] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2000] [Accepted: 05/02/2000] [Indexed: 11/04/2022] Open
Abstract
The aggressiveness of prostate cancer (PCa) varies widely: some tumors progress to invasive, potentially life-threatening disease, whereas others stay latent for the remainder of an individual's lifetime. The mechanisms resulting in this variability are not yet understood, but they are likely to involve both genetic and environmental influences. To investigate genetic factors, we conducted a genomewide linkage analysis of 513 brothers with PCa, using the Gleason score, which reflects tumor histology, as a quantitative measure of PCa aggressiveness. To our knowledge, this is the first time that a measure of PCa aggressiveness has been directly investigated as a quantitative trait in a genomewide scan. We employed a generalized multipoint Haseman-Elston linkage-analysis approach that regresses the mean-corrected cross product between the brothers' Gleason scores on the estimated proportion of alleles shared by brothers identical by descent at each marker location. Our results suggest that candidate regions on chromosomes 5q, 7q, and 19q give evidence for linkage to PCa-aggressiveness genes. In particular, the strongest signals detected in these regions were at the following markers (with corresponding P values): for chromosome 5q31-33, between markers D5S1480 and D5S820 (P=.0002); for chromosome 7q32, between markers D7S3061 and D7S1804 (P=.0007); and, for chromosome 19q12, at D19S433 (P=.0004). This indicates that one or more of these candidate regions may contain genes that influence the progression of PCa from latent to invasive disease. Identification of such genes would be extremely valuable for elucidation of the mechanism underlying PCa progression and for determination of treatment in men in whom this disease has been diagnosed.
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Affiliation(s)
- J S Witte
- Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland, OH 44109, USA.
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765
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Herman-Bert A, Stevanin G, Netter JC, Rascol O, Brassat D, Calvas P, Camuzat A, Yuan QP, Schalling M, Dürr A, Brice A. Mapping of spinocerebellar ataxia 13 to chromosome 19q13.3-q13.4 in a family with autosomal dominant cerebellar ataxia and mental retardation. Am J Hum Genet 2000; 67:229-35. [PMID: 10820125 PMCID: PMC1287081 DOI: 10.1086/302958] [Citation(s) in RCA: 115] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2000] [Accepted: 03/12/2000] [Indexed: 11/03/2022] Open
Abstract
We examined a large French family with autosomal dominant cerebellar ataxia (ADCA) that was excluded from all previously identified spinocerebellar ataxia genes and loci. The patients-seven women and a 4-year-old boy-exhibited slowly progressive childhood-onset cerebellar gait ataxia associated with cerebellar dysarthria, moderate mental retardation (IQ 62-76), and mild developmental delays in motor acquisition. Nystagmus and pyramidal signs were also observed in some cases. This unique association of clinical features clearly distinguishes this new entity from other previously described ADCA. Cerebral magnetic-resonance imaging showed moderate cerebellar and pontine atrophy in two patients. We performed a genomewide search and found significant evidence for linkage to chromosome 19q13.3-q13.4, in an approximately 8-cM interval between markers D19S219 and D19S553.
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Affiliation(s)
- Alexandra Herman-Bert
- INSERM U289, Hôpital de la Salpêtrière, and Consultation de Génétique Médicale, Hôpital de la Salpêtrière, Paris; Service de Néonatologie, Centre Hospitalier Intercommunal de Tarbes, Tarbes, France; Service de Pharmacologie Clinique, Faculté de Médecine, Fédération de Neurologie, Hôpital Purpan, and Consultation de Génétique Médicale, Hôpital Purpan, Toulouse, France; and Neurogenetics Unit, Department of Molecular Medicine, Karolinska Hospital, Stockholm
| | - Giovanni Stevanin
- INSERM U289, Hôpital de la Salpêtrière, and Consultation de Génétique Médicale, Hôpital de la Salpêtrière, Paris; Service de Néonatologie, Centre Hospitalier Intercommunal de Tarbes, Tarbes, France; Service de Pharmacologie Clinique, Faculté de Médecine, Fédération de Neurologie, Hôpital Purpan, and Consultation de Génétique Médicale, Hôpital Purpan, Toulouse, France; and Neurogenetics Unit, Department of Molecular Medicine, Karolinska Hospital, Stockholm
| | - Jean-Claude Netter
- INSERM U289, Hôpital de la Salpêtrière, and Consultation de Génétique Médicale, Hôpital de la Salpêtrière, Paris; Service de Néonatologie, Centre Hospitalier Intercommunal de Tarbes, Tarbes, France; Service de Pharmacologie Clinique, Faculté de Médecine, Fédération de Neurologie, Hôpital Purpan, and Consultation de Génétique Médicale, Hôpital Purpan, Toulouse, France; and Neurogenetics Unit, Department of Molecular Medicine, Karolinska Hospital, Stockholm
| | - Olivier Rascol
- INSERM U289, Hôpital de la Salpêtrière, and Consultation de Génétique Médicale, Hôpital de la Salpêtrière, Paris; Service de Néonatologie, Centre Hospitalier Intercommunal de Tarbes, Tarbes, France; Service de Pharmacologie Clinique, Faculté de Médecine, Fédération de Neurologie, Hôpital Purpan, and Consultation de Génétique Médicale, Hôpital Purpan, Toulouse, France; and Neurogenetics Unit, Department of Molecular Medicine, Karolinska Hospital, Stockholm
| | - David Brassat
- INSERM U289, Hôpital de la Salpêtrière, and Consultation de Génétique Médicale, Hôpital de la Salpêtrière, Paris; Service de Néonatologie, Centre Hospitalier Intercommunal de Tarbes, Tarbes, France; Service de Pharmacologie Clinique, Faculté de Médecine, Fédération de Neurologie, Hôpital Purpan, and Consultation de Génétique Médicale, Hôpital Purpan, Toulouse, France; and Neurogenetics Unit, Department of Molecular Medicine, Karolinska Hospital, Stockholm
| | - Patrick Calvas
- INSERM U289, Hôpital de la Salpêtrière, and Consultation de Génétique Médicale, Hôpital de la Salpêtrière, Paris; Service de Néonatologie, Centre Hospitalier Intercommunal de Tarbes, Tarbes, France; Service de Pharmacologie Clinique, Faculté de Médecine, Fédération de Neurologie, Hôpital Purpan, and Consultation de Génétique Médicale, Hôpital Purpan, Toulouse, France; and Neurogenetics Unit, Department of Molecular Medicine, Karolinska Hospital, Stockholm
| | - Agnès Camuzat
- INSERM U289, Hôpital de la Salpêtrière, and Consultation de Génétique Médicale, Hôpital de la Salpêtrière, Paris; Service de Néonatologie, Centre Hospitalier Intercommunal de Tarbes, Tarbes, France; Service de Pharmacologie Clinique, Faculté de Médecine, Fédération de Neurologie, Hôpital Purpan, and Consultation de Génétique Médicale, Hôpital Purpan, Toulouse, France; and Neurogenetics Unit, Department of Molecular Medicine, Karolinska Hospital, Stockholm
| | - Qiu-ping Yuan
- INSERM U289, Hôpital de la Salpêtrière, and Consultation de Génétique Médicale, Hôpital de la Salpêtrière, Paris; Service de Néonatologie, Centre Hospitalier Intercommunal de Tarbes, Tarbes, France; Service de Pharmacologie Clinique, Faculté de Médecine, Fédération de Neurologie, Hôpital Purpan, and Consultation de Génétique Médicale, Hôpital Purpan, Toulouse, France; and Neurogenetics Unit, Department of Molecular Medicine, Karolinska Hospital, Stockholm
| | - Martin Schalling
- INSERM U289, Hôpital de la Salpêtrière, and Consultation de Génétique Médicale, Hôpital de la Salpêtrière, Paris; Service de Néonatologie, Centre Hospitalier Intercommunal de Tarbes, Tarbes, France; Service de Pharmacologie Clinique, Faculté de Médecine, Fédération de Neurologie, Hôpital Purpan, and Consultation de Génétique Médicale, Hôpital Purpan, Toulouse, France; and Neurogenetics Unit, Department of Molecular Medicine, Karolinska Hospital, Stockholm
| | - Alexandra Dürr
- INSERM U289, Hôpital de la Salpêtrière, and Consultation de Génétique Médicale, Hôpital de la Salpêtrière, Paris; Service de Néonatologie, Centre Hospitalier Intercommunal de Tarbes, Tarbes, France; Service de Pharmacologie Clinique, Faculté de Médecine, Fédération de Neurologie, Hôpital Purpan, and Consultation de Génétique Médicale, Hôpital Purpan, Toulouse, France; and Neurogenetics Unit, Department of Molecular Medicine, Karolinska Hospital, Stockholm
| | - Alexis Brice
- INSERM U289, Hôpital de la Salpêtrière, and Consultation de Génétique Médicale, Hôpital de la Salpêtrière, Paris; Service de Néonatologie, Centre Hospitalier Intercommunal de Tarbes, Tarbes, France; Service de Pharmacologie Clinique, Faculté de Médecine, Fédération de Neurologie, Hôpital Purpan, and Consultation de Génétique Médicale, Hôpital Purpan, Toulouse, France; and Neurogenetics Unit, Department of Molecular Medicine, Karolinska Hospital, Stockholm
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766
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767
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Abstract
We describe a method for identifying, from a comprehensive genetic map, the most dense framework of confidently ordered markers. The approach uses the number of observed recombination events between each pair of markers, and finds the largest subset of markers for which adjacent loci are separated by at least one recombination. We illustrate the approach using a short region of chromosome 7p.
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Affiliation(s)
- K W Broman
- Center for Medical Genetics, Marshfield Medical Research Foundation, WI 54449, USA.
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768
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Stöber G, Meyer J, Nanda I, Wienker TF, Saar K, Knapp M, Jatzke S, Schmid M, Lesch KP, Beckmann H. Linkage and family-based association study of schizophrenia and the synapsin III locus that maps to chromosome 22q13. AMERICAN JOURNAL OF MEDICAL GENETICS 2000; 96:392-7. [PMID: 10898920 DOI: 10.1002/1096-8628(20000612)96:3<392::aid-ajmg29>3.0.co;2-r] [Citation(s) in RCA: 34] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
The human synapsin III gene (synapsin III) is a member of a neuron-specific phosphoprotein gene family involved in short-term neurotransmitter release. We mapped synapsin III to chromosomal region 22q13 (13.1-13.31) by fluorescence in situ hybridization, a region that has been identified as a potential schizophrenia susceptibility locus. The dinucleotide repeat marker D22S280 located in intron 5 of synapsin III was genotyped in a linkage and family-based association study to assess the role of the synapsin III locus in the etiology of schizophrenia. In 12 pedigrees with periodic catatonia comprising 135 individuals, we found exclusion of linkage of marker D22S280 using lod score analysis with autosomal dominant/recessive models as well as affected only LOD score methods with dominant/recessive models. In a family-based association study of 61 unrelated parent-offspring trios with schizophrenia (according to the the Diagnostic and Statistical Manual of Mental Disorders, fourth edition [DSM-IV, American Psychiatric Association, 1994]), we found no association of individual D22S280 alleles to disease. Results of a multiallelic transmission/disequilibrium test (TDT(max) = 3.00; P = 0.55) challenged the possibility that D22S280 alleles appear with DSM-IV schizophrenia more frequently than expected. In addition, no evidence for gender differences or parent-of-origin effects were found. Thus, the synapsin III locus at chromosome 22q13 is not likely to contain a schizophrenia susceptibility gene.
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Affiliation(s)
- G Stöber
- Department of Psychiatry, University of Würzburg, Federal Republic of Germany.
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769
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Duerr RH, Barmada MM, Zhang L, Pfützer R, Weeks DE. High-density genome scan in Crohn disease shows confirmed linkage to chromosome 14q11-12. Am J Hum Genet 2000; 66:1857-62. [PMID: 10747815 PMCID: PMC1378032 DOI: 10.1086/302947] [Citation(s) in RCA: 147] [Impact Index Per Article: 6.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/1999] [Accepted: 03/15/2000] [Indexed: 11/03/2022] Open
Abstract
Epidemiological studies have shown that genetic factors contribute to the pathogenesis of the idiopathic inflammatory bowel diseases (IBD), Crohn disease (CD) and ulcerative colitis (UC). Recent genome scans and replication studies have identified replicated linkage between CD and a locus on chromosome 16 (the IBD1 locus), replicated linkage between IBD (especially UC) and a locus on chromosome 12q (the IBD2 locus), and replicated linkage between IBD (especially CD) and a locus on chromosome 6p (the IBD3 locus). Since the estimated locus-specific lambdas values for the regions of replicated linkage do not account for the overall lambdas in CD, and since the published genome scans in IBD show at least nominal evidence for linkage to regions on all but two chromosomes, we performed an independent genome scan using 751 microsatellite loci in 127 CD-affected relative pairs from 62 families. Single-point nonparametric linkage analysis using the GENEHUNTER-PLUS program shows evidence for linkage to the adjacent D14S261 and D14S283 loci on chromosome 14q11-12 (LOD = 3.00 and 1.70, respectively), and the maximal multipoint LOD score is observed at D14S261 (LOD = 3.60). In the multipoint analysis, nominal evidence for linkage (P<.05) is observed near D2S117 (LOD = 1.25), near D3S3045 (LOD = 1.31), between D7S40 and D7S648 (LOD = 0.91), and near D18S61 (LOD = 1.15). Our finding of significant linkage to D14S261 and the finding of suggestive linkage to the same locus in an independent study (multipoint LOD = 2.8) satisfies criteria for confirmed linkage, so we propose that the region of interest on chromosome 14q11-12 should be designated the IBD4 locus.
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Affiliation(s)
- R H Duerr
- Department of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
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770
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Broman KW, Weber JL. Characterization of human crossover interference. Am J Hum Genet 2000; 66:1911-26. [PMID: 10801387 PMCID: PMC1378063 DOI: 10.1086/302923] [Citation(s) in RCA: 115] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2000] [Accepted: 03/24/2000] [Indexed: 11/04/2022] Open
Abstract
We present an analysis of crossover interference over the entire human genome, on the basis of genotype data from more than 8,000 polymorphisms in eight CEPH families. Overwhelming evidence was found for strong positive crossover interference, with average strength lying between the levels of interference implied by the Kosambi and Carter-Falconer map functions. Five mathematical models of interference were evaluated: the gamma model and four versions of the count-location model. The gamma model fit the data far better than did any of the other four models. Analysis of intercrossover distances was greatly superior to the analysis of crossover counts, in both demonstrating interference and distinguishing between the five models. In contrast to earlier suggestions, interference was found to continue uninterrupted across the centromeres. No convincing differences in the levels of interference were found between the sexes or among chromosomes; however, we did detect possible individual variation in interference among the eight mothers. Finally, we present an equation that provides the probability of the occurrence of a double crossover between two nonrecombinant, informative polymorphisms.
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Affiliation(s)
- K W Broman
- Department of Biostatistics, Johns Hopkins University, Baltimore, MD 21205, USA.
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771
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Kort EN, Ballinger DG, Ding W, Hunt SC, Bowen BR, Abkevich V, Bulka K, Campbell B, Capener C, Gutin A, Harshman K, McDermott M, Thorne T, Wang H, Wardell B, Wong J, Hopkins PN, Skolnick M, Samuels M. Evidence of linkage of familial hypoalphalipoproteinemia to a novel locus on chromosome 11q23. Am J Hum Genet 2000; 66:1845-56. [PMID: 10775531 PMCID: PMC1378041 DOI: 10.1086/302945] [Citation(s) in RCA: 44] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/1999] [Accepted: 03/14/2000] [Indexed: 11/04/2022] Open
Abstract
Coronary heart disease (CHD) accounts for half of the 1 million deaths annually ascribed to cardiovascular disease and for almost all of the 1.5 million acute myocardial infarctions. Within families affected by early and apparently heritable CHD, dyslipidemias have a much higher prevalence than in the general population; 20%-30% of early familial CHD has been ascribed to primary hypoalphalipoproteinemia (low HDL-C). This study assesses the evidence for linkage of low HDL-C to chromosomal region 11q23 in 105 large Utah pedigrees ascertained with closely related clusters of early CHD and expanded on the basis of dyslipidemia. Linkage analysis was performed by use of 22 STRP markers in a 55-cM region of chromosome 11. Two-point analysis based on a general, dominant-phenotype model yielded LODs of 2.9 for full pedigrees and 3.5 for 167 four-generation split pedigrees. To define a localization region, model optimization was performed using the heterogeneity, multipoint LOD score (mpHLOD). This linkage defines a region on 11q23.3 that is approximately 10 cM distal to-and apparently distinct from-the ApoAI/CIII/AIV gene cluster and thus represents a putative novel localization for the low HDL-C phenotype.
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Affiliation(s)
- E N Kort
- Genetic Research, Intermountain Health Care, Salt Lake City, UT, USA
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772
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Salam AA, Häfner FM, Linder TE, Spillmann T, Schinzel AA, Leal SM. A novel locus (DFNA23) for prelingual autosomal dominant nonsyndromic hearing loss maps to 14q21-q22 in a Swiss German kindred. Am J Hum Genet 2000; 66:1984-8. [PMID: 10777717 PMCID: PMC1378045 DOI: 10.1086/302931] [Citation(s) in RCA: 23] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2000] [Accepted: 03/27/2000] [Indexed: 11/03/2022] Open
Abstract
DFNA23, a novel locus for autosomal dominant nonsyndromic hearing loss, was identified in a Swiss German kindred. DNA samples were obtained from 22 family members in three generations: 10 with hearing impairment caused by the DFNA23 locus, 8 unaffected offspring, and 4 spouses of hearing-impaired pedigree members. In this kindred, the hearing-impaired family members have prelingual bilateral symmetrical hearing loss. All audiograms from hearing-impaired individuals displayed sloping curves, with hearing ability ranging from normal hearing to mild hearing loss in low frequencies, normal hearing to profound hearing loss in mid frequencies, and moderate to profound hearing loss in high frequencies. A conductive component existed for 50% of the hearing-impaired family members. The majority of the hearing-impaired family members did not display progression of hearing loss. The DFNA23 locus maps to 14q21-q22. Linkage analysis was carried out under a fully penetrant autosomal dominant mode of inheritance with no phenocopies. A maximum multipoint LOD score of 5.1 occurred at Marker D14S290. The 3.0-LOD unit support interval is 9.4 cM and ranged from marker D14S980 to marker D14S1046.
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Affiliation(s)
- A A Salam
- Laboratory of Statistical Genetics, The Rockefeller University, New York, NY 10021, USA
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773
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Betz RC, Lee YA, Bygum A, Brandrup F, Bernal AI, Toribio J, Alvarez JI, Kukuk GM, Ibsen HH, Rasmussen HB, Wienker TF, Reis A, Propping P, Kruse R, Cichon S, Nöthen MM. A gene for hypotrichosis simplex of the scalp maps to chromosome 6p21.3. Am J Hum Genet 2000; 66:1979-83. [PMID: 10793007 PMCID: PMC1378055 DOI: 10.1086/302934] [Citation(s) in RCA: 43] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2000] [Accepted: 04/06/2000] [Indexed: 12/29/2022] Open
Abstract
Hypotrichosis simplex of the scalp (HSS) is an autosomal dominant form of isolated alopecia causing almost complete loss of scalp hair, with onset in childhood. After exclusion of candidate regions previously associated with hair-loss disorders, we performed a genomewide linkage analysis in two Danish families and localized the gene to chromosome 6p21.3. This was confirmed in a Spanish family, with a total LOD score of 11.97 for marker D6S1701 in all families. The combined haplotype data identify a critical interval of 14.9 cM between markers D6S276 and D6S1607. Localization of the locus for HSS to 6p21.3 is a first step toward identification of the gene. The gene will give important insights into the molecular and cellular basis of hair growth on the scalp.
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Affiliation(s)
- R C Betz
- Institute of Human Genetics, University of Bonn, D-53111 Bonn, Germany.
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774
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Gordon D, Simonic I, Ott J. Significant evidence for linkage disequilibrium over a 5-cM region among Afrikaners. Genomics 2000; 66:87-92. [PMID: 10843808 DOI: 10.1006/geno.2000.6190] [Citation(s) in RCA: 44] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
We explore the extent of deviations from Hardy-Weinberg equilibrium (HWE) at a marker locus and linkage disequilibrium (LD) between pairs of marker loci in the Afrikaner population of South Africa. DNA samples were used for genotyping of 23 loci on six chromosomes. The samples were collected from 91 healthy unrelated Afrikaner adults. Exact tests were used to determine evidence for deviations from HWE at a single marker locus or LD between pairs of marker loci. At the 0.05 level of significance, evidence was found for deviation from HWE at only one of the 23 loci. At the same level of significance, LD was found among 8 of the 34 intrachromosomal pairs of loci. On chromosome 21, there was evidence for LD (P = 0.02) between a pair of loci with a genetic distance of 5.51 cM. On chromosome 2, there was evidence for LD between a pair of loci with a genetic distance of 5.28 cM (P = 0.002) and a pair of loci with a genetic distance of 3.68 cM (P = 0.0004). Detailed analysis of LD for one locus pair indicated that only a few of all alleles participated in the LD and that strong LD was most often positive. Our findings indicate that Afrikaans-speaking Afrikaners represent one of those special populations deemed particularly suitable for disequilibrium mapping.
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Affiliation(s)
- D Gordon
- Laboratory of Statistical Genetics, Rockefeller University, New York, New York 10021, USA.
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775
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Mapping of a syndrome of X-linked thrombocytopenia with thalassemia to band Xp11-12: further evidence of genetic heterogeneity of X-linked thrombocytopenia. Blood 2000. [DOI: 10.1182/blood.v95.7.2262] [Citation(s) in RCA: 20] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
Abstract
X-linked thrombocytopenia with thalassemia (XLTT; Online Mendelian Inheritance in Man [OMIM] accession number 314050) is a rare disorder characterized by thrombocytopenia, platelet dysfunction, splenomegaly, reticulocytosis, and unbalanced hemoglobin chain synthesis. In a 4-generation family, the gene responsible for XLTT was mapped to the X chromosome, short arm, bands 11-12 (band Xp11-12). The maximum lod score possible in this family, 2.39, was obtained for markers DXS8054 and DXS1003, at a recombination fraction of 0. Recombination events observed for XLTT and markers DXS8080 and DXS8023 or DXS991 define a critical region that is less than or equal to 7.65 KcM and contains the gene responsible for the Wiskott-Aldrich syndrome (WAS; OMIM accession number 301000) and its allelic variant X-linked thrombocytopenia (XLT; OMIM accession number 313900). Manifestations of WAS include thrombocytopenia, eczema, and immunodeficiency. In WAS/XLT the platelets are usually small, and bleeding is proportional to the degree of thrombocytopenia. In contrast, in XLTT the platelet morphology is normal, and the bleeding time is disproportionately prolonged. In this study no alteration in the WAS gene was detected by Northern blot or Western blot analysis, flow cytometry, or complimentary DNA dideoxynucleotide fingerprinting or sequencing. As has been reported for WAS and some cases of XLT, almost total inactivation of the XLTTgene-bearing X chromosome was observed in granulocytes and peripheral blood mononuclear cells from 1 asymptomatic obligate carrier. The XLTT carrier previously found to have an elevated :β hemoglobin chain ratio had a skewed, but not clonal, X-inactivation pattern favoring activity of the abnormal allele. Clinical differences and results of the mutation analyses make it very unlikely that XLTT is another allelic variant of WAS/XLT and strongly suggest that X-linked thrombocytopenia mapping to band Xp11-12 is a genetically heterogeneous disorder.
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776
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Häfner FM, Salam AA, Linder TE, Balmer D, Baumer A, Schinzel AA, Spillmann T, Leal SM. A novel locus (DFNA24) for prelingual nonprogressive autosomal dominant nonsyndromic hearing loss maps to 4q35-qter in a large Swiss German kindred. Am J Hum Genet 2000; 66:1437-42. [PMID: 10739769 PMCID: PMC1288211 DOI: 10.1086/302865] [Citation(s) in RCA: 18] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/1999] [Accepted: 02/02/2000] [Indexed: 11/03/2022] Open
Abstract
Nonsyndromic hearing loss is one of the most genetically heterogeneous traits known. A total of 30 autosomal dominant nonsyndromic hearing-loss loci have been mapped, and 11 genes have been isolated. In the majority of cases, autosomal dominant nonsyndromic hearing loss is postlingual and progressive, with the exception of hearing impairment in families in which the impairment is linked to DFNA3, DFNA8/12, and DFNA24, the novel locus described in this report. DFNA24 was identified in a large Swiss German kindred with a history of autosomal dominant hearing loss that dates back to the middle of the 19th century. The hearing-impaired individuals in this kindred have prelingual, nonprogressive, bilateral sensorineural hearing loss affecting mainly mid and high frequencies. The DFNA24 locus maps to 4q35-qter. A maximum multipoint LOD score of 11.6 was obtained at 208.1 cM at marker D4S1652. The 3.0-unit support interval for the map position of this locus ranges from 205.8 cM to 211.7 cM (5.9 cM).
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Affiliation(s)
- Franziska M. Häfner
- Department of Otorhinolaryngology and Head and Neck Surgery, University Hospital of Zurich, and Institute of Medical Genetics, University of Zurich, Zurich; and Laboratory of Statistical Genetics, Rockefeller University, New York
| | - Ambar A. Salam
- Department of Otorhinolaryngology and Head and Neck Surgery, University Hospital of Zurich, and Institute of Medical Genetics, University of Zurich, Zurich; and Laboratory of Statistical Genetics, Rockefeller University, New York
| | - Thomas E. Linder
- Department of Otorhinolaryngology and Head and Neck Surgery, University Hospital of Zurich, and Institute of Medical Genetics, University of Zurich, Zurich; and Laboratory of Statistical Genetics, Rockefeller University, New York
| | - Damina Balmer
- Department of Otorhinolaryngology and Head and Neck Surgery, University Hospital of Zurich, and Institute of Medical Genetics, University of Zurich, Zurich; and Laboratory of Statistical Genetics, Rockefeller University, New York
| | - Allessandra Baumer
- Department of Otorhinolaryngology and Head and Neck Surgery, University Hospital of Zurich, and Institute of Medical Genetics, University of Zurich, Zurich; and Laboratory of Statistical Genetics, Rockefeller University, New York
| | - Albert A. Schinzel
- Department of Otorhinolaryngology and Head and Neck Surgery, University Hospital of Zurich, and Institute of Medical Genetics, University of Zurich, Zurich; and Laboratory of Statistical Genetics, Rockefeller University, New York
| | - Thomas Spillmann
- Department of Otorhinolaryngology and Head and Neck Surgery, University Hospital of Zurich, and Institute of Medical Genetics, University of Zurich, Zurich; and Laboratory of Statistical Genetics, Rockefeller University, New York
| | - Suzanne M. Leal
- Department of Otorhinolaryngology and Head and Neck Surgery, University Hospital of Zurich, and Institute of Medical Genetics, University of Zurich, Zurich; and Laboratory of Statistical Genetics, Rockefeller University, New York
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777
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Göring HHH, Terwilliger JD. Linkage analysis in the presence of errors III: marker loci and their map as nuisance parameters. Am J Hum Genet 2000; 66:1298-309. [PMID: 10731467 PMCID: PMC1288196 DOI: 10.1086/302846] [Citation(s) in RCA: 74] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/1999] [Accepted: 08/20/1999] [Indexed: 11/03/2022] Open
Abstract
In linkage and linkage disequilibrium (LD) analysis of complex multifactorial phenotypes, various types of errors can greatly reduce the chance of successful gene localization. The power of such studies-even in the absence of errors-is quite low, and, accordingly, their robustness to errors can be poor, especially in multipoint analysis. For this reason, it is important to deal with the ramifications of errors up front, as part of the analytical strategy. In this study, errors in the characterization of marker-locus parameters-including allele frequencies, haplotype frequencies (i.e., LD between marker loci), recombination fractions, and locus order-are dealt with through the use of profile likelihoods maximized over such nuisance parameters. It is shown that the common practice of assuming fixed, erroneous values for such parameters can reduce the power and/or increase the probability of obtaining false positive results in a study. The effects of errors in assumed parameter values are generally more severe when a larger number of less informative marker loci, like the highly-touted single nucleotide polymorphisms (SNPs), are analyzed jointly than when fewer but more informative marker loci, such as microsatellites, are used. Rather than fixing inaccurate values for these parameters a priori, we propose to treat them as nuisance parameters through the use of profile likelihoods. It is demonstrated that the power of linkage and/or LD analysis can be increased through application of this technique in situations where parameter values cannot be specified with a high degree of certainty.
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Affiliation(s)
- Harald H. H. Göring
- Department of Genetics and Development and Department of Psychiatry and Columbia Genome Center, Columbia University and New York State Psychiatric Institute, New York
| | - Joseph D. Terwilliger
- Department of Genetics and Development and Department of Psychiatry and Columbia Genome Center, Columbia University and New York State Psychiatric Institute, New York
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778
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Martignetti JA, Heath KE, Harris J, Bizzaro N, Savoia A, Balduini CL, Desnick RJ. The gene for May-Hegglin anomaly localizes to a <1-Mb region on chromosome 22q12.3-13.1. Am J Hum Genet 2000; 66:1449-54. [PMID: 10739770 PMCID: PMC1288213 DOI: 10.1086/302873] [Citation(s) in RCA: 33] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/1999] [Accepted: 01/24/2000] [Indexed: 11/03/2022] Open
Abstract
The May-Hegglin anomaly (MHA) is an autosomal dominant platelet disorder of unknown etiology. It is characterized by thrombocytopenia, giant platelets, and leukocyte inclusion bodies, and affected heterozygotes are predisposed to bleeding episodes. The MHA gene has recently been localized, by means of linkage analysis, to a 13.6-cM region on chromosome 22, and the complete chromosome 22 sequence has been reported. We recently performed a genome scan for the MHA gene in 29 members of a large, multigenerational Italian family, and we now confirm that the MHA locus is on chromosome 22q12. 3-13.1. The maximal two-point LOD score of 4.50 was achieved with the use of marker D22S283, at a recombination fraction of.05. Haplotype analysis narrowed the MHA critical region to 6.6 cM between markers D22S683 and D22S1177. It is of note that the chromosome 22 sequence allowed all markers to be ordered correctly, identified all the candidate genes and predicted genes, and specifically determined the physical size of the MHA region to be 0. 7 Mb. These results significantly narrow the region in which the MHA gene is located, and they represent the first use of chromosome 22 data to positionally clone a disease gene.
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Affiliation(s)
- J A Martignetti
- Departments of Human Genetics and Pediatrics, Mount Sinai School of Medicine, New York, NY 10029.
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779
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780
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Mapping of a syndrome of X-linked thrombocytopenia with thalassemia to band Xp11-12: further evidence of genetic heterogeneity of X-linked thrombocytopenia. Blood 2000. [DOI: 10.1182/blood.v95.7.2262.007k32_2262_2268] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
X-linked thrombocytopenia with thalassemia (XLTT; Online Mendelian Inheritance in Man [OMIM] accession number 314050) is a rare disorder characterized by thrombocytopenia, platelet dysfunction, splenomegaly, reticulocytosis, and unbalanced hemoglobin chain synthesis. In a 4-generation family, the gene responsible for XLTT was mapped to the X chromosome, short arm, bands 11-12 (band Xp11-12). The maximum lod score possible in this family, 2.39, was obtained for markers DXS8054 and DXS1003, at a recombination fraction of 0. Recombination events observed for XLTT and markers DXS8080 and DXS8023 or DXS991 define a critical region that is less than or equal to 7.65 KcM and contains the gene responsible for the Wiskott-Aldrich syndrome (WAS; OMIM accession number 301000) and its allelic variant X-linked thrombocytopenia (XLT; OMIM accession number 313900). Manifestations of WAS include thrombocytopenia, eczema, and immunodeficiency. In WAS/XLT the platelets are usually small, and bleeding is proportional to the degree of thrombocytopenia. In contrast, in XLTT the platelet morphology is normal, and the bleeding time is disproportionately prolonged. In this study no alteration in the WAS gene was detected by Northern blot or Western blot analysis, flow cytometry, or complimentary DNA dideoxynucleotide fingerprinting or sequencing. As has been reported for WAS and some cases of XLT, almost total inactivation of the XLTTgene-bearing X chromosome was observed in granulocytes and peripheral blood mononuclear cells from 1 asymptomatic obligate carrier. The XLTT carrier previously found to have an elevated :β hemoglobin chain ratio had a skewed, but not clonal, X-inactivation pattern favoring activity of the abnormal allele. Clinical differences and results of the mutation analyses make it very unlikely that XLTT is another allelic variant of WAS/XLT and strongly suggest that X-linked thrombocytopenia mapping to band Xp11-12 is a genetically heterogeneous disorder.
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781
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782
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El-Shanti H, Lidral AC, Jarrah N, Druhan L, Ajlouni K. Homozygosity mapping identifies an additional locus for Wolfram syndrome on chromosome 4q. Am J Hum Genet 2000; 66:1229-36. [PMID: 10739754 PMCID: PMC1288190 DOI: 10.1086/302858] [Citation(s) in RCA: 91] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/1999] [Accepted: 01/31/2000] [Indexed: 11/04/2022] Open
Abstract
Wolfram syndrome, which is sometimes referred to as "DIDMOAD" (diabetes insipidus, diabetes mellitus, optic atrophy, and deafness), is an autosomal recessive neurodegenerative disorder for which only insulin-dependent diabetes mellitus and optic atrophy are necessary to make the diagnosis. Researchers have mapped Wolfram syndrome to chromosome 4p16.1, and, recently, a gene encoding a putative transmembrane protein has been cloned and mutations have been identified in patients. To pursue the possibility of locus heterogeneity, 16 patients from four different families were recruited. These patients, who have the Wolfram syndrome phenotype, also have additional features that have not previously been reported. There is an absence of diabetes insipidus in all affected family members. In addition, several patients have profound upper gastrointestinal ulceration and bleeding. With the use of three microsatellite markers (D4S432, D4S3023, and D4S2366) reported to be linked to the chromosome 4p16.1 locus, we significantly excluded linkage in three of the four families. The two affected individuals in one family showed homozygosity for all three markers from the region of linkage on chromosome 4p16.1. For the other three families, genetic heterogeneity for Wolfram syndrome was verified by demonstration of linkage to chromosome 4q22-24. In conclusion, we report the unique clinical findings and linkage-analysis results of 16 patients with Wolfram syndrome and provide further evidence for the genetic heterogeneity of this disorder. We also provide data on a new locus that plays a role in the etiology of insulin-dependent diabetes mellitus.
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Affiliation(s)
- Hatem El-Shanti
- Departments of Pediatrics and Medical Technology, School of Medicine, Jordan University of Science and Technology, Irbid, Jordan; National Center for Diabetes, Endocrinology and Genetics, Amman, Jordan; and Section of Orthodontics, College of Dentistry, Ohio State University, Columbus
| | - Andrew C. Lidral
- Departments of Pediatrics and Medical Technology, School of Medicine, Jordan University of Science and Technology, Irbid, Jordan; National Center for Diabetes, Endocrinology and Genetics, Amman, Jordan; and Section of Orthodontics, College of Dentistry, Ohio State University, Columbus
| | - Nadim Jarrah
- Departments of Pediatrics and Medical Technology, School of Medicine, Jordan University of Science and Technology, Irbid, Jordan; National Center for Diabetes, Endocrinology and Genetics, Amman, Jordan; and Section of Orthodontics, College of Dentistry, Ohio State University, Columbus
| | - Lawrence Druhan
- Departments of Pediatrics and Medical Technology, School of Medicine, Jordan University of Science and Technology, Irbid, Jordan; National Center for Diabetes, Endocrinology and Genetics, Amman, Jordan; and Section of Orthodontics, College of Dentistry, Ohio State University, Columbus
| | - Kamel Ajlouni
- Departments of Pediatrics and Medical Technology, School of Medicine, Jordan University of Science and Technology, Irbid, Jordan; National Center for Diabetes, Endocrinology and Genetics, Amman, Jordan; and Section of Orthodontics, College of Dentistry, Ohio State University, Columbus
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783
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Suarez BK, Lin J, Burmester JK, Broman KW, Weber JL, Banerjee TK, Goddard KAB, Witte JS, Elston RC, Catalona WJ. A genome screen of multiplex sibships with prostate cancer. Am J Hum Genet 2000; 66:933-44. [PMID: 10712208 PMCID: PMC1288174 DOI: 10.1086/302818] [Citation(s) in RCA: 116] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/1999] [Accepted: 12/06/1999] [Indexed: 11/03/2022] Open
Abstract
Analysis of a genome screen of 504 brothers with prostate cancer (CaP) who were from 230 multiplex sibships identified five regions with nominally positive linkage signals, on chromosomes 2q, 12p, 15q, 16p, and 16q. The strongest signal in these data is found on chromosome 16q, between markers D16S515 and D16S3040, a region suspected to contain a tumor-suppressor gene. On the basis of findings from previous genome screens of families with CaP, three preplanned subanalyses were carried out, in the hope of increasing the subgroup homogeneity. Subgroups were formed by dividing the sibships into a group with a positive family history (FH+) that met criteria for "hereditary" CaP (n=111) versus those which did not meet the criteria (n=119) and by dividing the families into those with a mean onset age below the median (n=115) versus those with a mean onset age above the median (n=115). A separate subanalysis was carried out for families with a history of breast cancer (CaB+ [n=53]). Analyses of these subgroups revealed a number of potentially important differences in regions that were nonsignificant when all the families were analyzed together. In particular, the subgroup without a positive family history (FH-) had a signal in a region that is proximal to the putative site of the HPC1 locus on chromosome 1, whereas the late-age-at-onset group had a signal on 4q. The CaB+ subgroup revealed a strong linkage signal at 1p35.1.
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Affiliation(s)
- Brian K. Suarez
- Departments of Psychiatry and Genetics and Division of Urologic Surgery, Washington University School of Medicine, St. Louis; Center for Medical Genetics, Marshfield Medical Research Foundation and Department of Oncology, Marshfield Clinic, Marshfield, WI; and Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland
| | - Jennifer Lin
- Departments of Psychiatry and Genetics and Division of Urologic Surgery, Washington University School of Medicine, St. Louis; Center for Medical Genetics, Marshfield Medical Research Foundation and Department of Oncology, Marshfield Clinic, Marshfield, WI; and Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland
| | - James K. Burmester
- Departments of Psychiatry and Genetics and Division of Urologic Surgery, Washington University School of Medicine, St. Louis; Center for Medical Genetics, Marshfield Medical Research Foundation and Department of Oncology, Marshfield Clinic, Marshfield, WI; and Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland
| | - Karl W. Broman
- Departments of Psychiatry and Genetics and Division of Urologic Surgery, Washington University School of Medicine, St. Louis; Center for Medical Genetics, Marshfield Medical Research Foundation and Department of Oncology, Marshfield Clinic, Marshfield, WI; and Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland
| | - James L. Weber
- Departments of Psychiatry and Genetics and Division of Urologic Surgery, Washington University School of Medicine, St. Louis; Center for Medical Genetics, Marshfield Medical Research Foundation and Department of Oncology, Marshfield Clinic, Marshfield, WI; and Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland
| | - Tarit K. Banerjee
- Departments of Psychiatry and Genetics and Division of Urologic Surgery, Washington University School of Medicine, St. Louis; Center for Medical Genetics, Marshfield Medical Research Foundation and Department of Oncology, Marshfield Clinic, Marshfield, WI; and Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland
| | - Katrina A. B. Goddard
- Departments of Psychiatry and Genetics and Division of Urologic Surgery, Washington University School of Medicine, St. Louis; Center for Medical Genetics, Marshfield Medical Research Foundation and Department of Oncology, Marshfield Clinic, Marshfield, WI; and Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland
| | - John S. Witte
- Departments of Psychiatry and Genetics and Division of Urologic Surgery, Washington University School of Medicine, St. Louis; Center for Medical Genetics, Marshfield Medical Research Foundation and Department of Oncology, Marshfield Clinic, Marshfield, WI; and Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland
| | - Robert C. Elston
- Departments of Psychiatry and Genetics and Division of Urologic Surgery, Washington University School of Medicine, St. Louis; Center for Medical Genetics, Marshfield Medical Research Foundation and Department of Oncology, Marshfield Clinic, Marshfield, WI; and Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland
| | - William J. Catalona
- Departments of Psychiatry and Genetics and Division of Urologic Surgery, Washington University School of Medicine, St. Louis; Center for Medical Genetics, Marshfield Medical Research Foundation and Department of Oncology, Marshfield Clinic, Marshfield, WI; and Department of Epidemiology and Biostatistics, Case Western Reserve University, Cleveland
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784
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Deng Z, Haghighi F, Helleby L, Vanterpool K, Horn EM, Barst RJ, Hodge SE, Morse JH, Knowles JA. Fine mapping of PPH1, a gene for familial primary pulmonary hypertension, to a 3-cM region on chromosome 2q33. Am J Respir Crit Care Med 2000; 161:1055-9. [PMID: 10712363 DOI: 10.1164/ajrccm.161.3.9906051] [Citation(s) in RCA: 63] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
Familial primary pulmonary hypertension (PPH) is a rare autosomal dominant disease characterized by distinctive changes in pulmonary arterioles that lead to increased pulmonary artery pressures, right ventricular failure, and death. Our previous studies had mapped the disease locus, PPH1, to a 27-cM region on chromosome 2q31-q33, with a maximum multipoint logarithm of the odds favoring genetic linkage score of 3.87 with markers D2S350 and D2S364. To narrow the minimal genetic region for PPH, we physically mapped 33 highly polymorphic microsatellite markers and used them to genotype 44 affected individuals and 133 unaffected individuals from 17 families with PPH. We observed recombination events that substantially reduced the interval for PPH1 to the approximately 3-cM region that separates D2S311 and D2S1384. This entire region lies within chromosome 2q33. A maximum two-point lod score of 7.23 at a recombination fraction of zero was obtained for marker D2S307. A maximum multipoint lod score of 7.41 was observed close to marker D2S1367. The current minimal genetic region contains multiple candidate genes for PPH, including a locus thought to play a role in lung cancer.
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Affiliation(s)
- Z Deng
- Department of Genetics and Development, Columbia Genome Center, College of Physicians and Surgeons, Columbia University, New York, NY 10032, USA
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785
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McPeek MS, Sun L. Statistical tests for detection of misspecified relationships by use of genome-screen data. Am J Hum Genet 2000; 66:1076-94. [PMID: 10712219 PMCID: PMC1288143 DOI: 10.1086/302800] [Citation(s) in RCA: 285] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Misspecified relationships can have serious consequences for linkage studies, resulting in either reduced power or false-positive evidence for linkage. If some individuals in the pedigree are untyped, then Mendelian errors may not be observed. Previous approaches to detection of misspecified relationships by use of genotype data were developed for sib and half-sib pairs. We extend the likelihood calculations of Göring and Ott and Boehnke and Cox to more-general relative pairs, for which identity-by-descent (IBD) status is no longer a Markov chain, and we propose a likelihood-ratio test. We also extend the identity-by-state (IBS)-based test of Ehm and Wagner to nonsib relative pairs. The likelihood-ratio test has high power, but its drawbacks include the need to construct and apply a separate Markov chain for each possible alternative relationship and the need for simulation to assess significance. The IBS-based test is simpler but has lower power. We propose two new test statistics-conditional expected IBD (EIBD) and adjusted IBS (AIBS)-designed to retain the simplicity of IBS while increasing power by taking into account chance sharing. In simulations, the power of EIBD is generally close to that of the likelihood-ratio test. The power of AIBS is higher than that of IBS, in all cases considered. We suggest a strategy of initial screening by use of EIBD and AIBS, followed by application of the likelihood-ratio test to only a subset of relative pairs, identified by use of EIBD and AIBS. We apply the methods to a Genetic Analysis Workshop 11 data set from the Collaborative Study on the Genetics of Alcoholism.
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Affiliation(s)
- M S McPeek
- Department of Statistics, University of Chicago, Chicago, IL, 60637, USA.
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786
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787
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Abstract
BACKGROUND Two genome scans for susceptibility loci for type 1 diabetes using large collections of families have recently been reported. Apart from strong linkage in both studies of the HLA region on chromosome 6p, clear consistent evidence for linkage was not observed at any other loci. One possible explanation for this is a high degree of locus heterogeneity in type 1 diabetes, and we hypothesised that the sex of affected offspring, age of diagnosis, and parental origin of shared alleles may be the bases of heterogeneity at some loci. METHODS Using data from a genome wide linkage study of 356 affected sib pairs with type 1 diabetes, we performed linkage analyses using parental origin of shared alleles in subgroups based on (1) sex of affected sibs and (2) age of diagnosis. RESULTS Among the results obtained, we observed that evidence for linkage to IDDM4 on chromosome 11q13 occurred predominantly from opposite sex, rather than same sex sib pairs. At a locus on chromosome 4q, evidence for linkage was observed in sibs where one was diagnosed above the age of 10 years and the other diagnosed below 10 years of age. CONCLUSIONS We show that heterogeneity tests based on age of diagnosis, sex of affected subject, and parental origin of shared alleles may be helpful in reducing locus heterogeneity in type 1 diabetes. If repeated in other samples, these findings may assist in the mapping of susceptibility loci for type 1 diabetes. Similar analyses can be recommended in other complex diseases.
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Affiliation(s)
- A D Paterson
- Neurogenetics Section, Clarke Division, Centre for Addiction and Mental Health, Department of Psychiatry, University of Toronto, 250 College Street, Toronto, Ontario M5T 1R8, Canada
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788
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Abstract
Currently available genetic maps differ in a variety of basic features; in particular, with respect to the total length of the genome. Consequently, the question arises as to the extent to which genetic maps are compatible to each other, as well as to the methods with which genetic maps can be transformed into one another. We propose a set of nonlinear, polynomial transformations that enable the integration of genetic maps at a sufficiently high overall precision. Our analysis of six major, publicly available maps, and iteratively optimized polynomials of up to degree 5, yielded differences of </= +/-0.8 cM between empirical and reconstructed marker locations for >90% of points. Similarly, we determined, at a slightly worse overall fit, those polynomials that enabled the reconstruction of sex-specific recombination estimates from sex-averaged data. Our results suggest that polynominal transformations may become a valuable extension of standard map construction methods due to a rapid integration of newly developed markers into existing maps. Am. J. Med. Genet. (Neuropsychiatr. Genet.) 96:108-113, 2000.
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Affiliation(s)
- H H Stassen
- Psychiatric University Hospital Zurich, Research Department, CH-8029 Zurich, Switzerland.
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789
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Weissman MM, Fyer AJ, Haghighi F, Heiman G, Deng Z, Hen R, Hodge SE, Knowles JA. Potential panic disorder syndrome: clinical and genetic linkage evidence. AMERICAN JOURNAL OF MEDICAL GENETICS 2000; 96:24-35. [PMID: 10686548 DOI: 10.1002/(sici)1096-8628(20000207)96:1<24::aid-ajmg7>3.0.co;2-e] [Citation(s) in RCA: 77] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
This paper reports evidence for a possible "chromosome 13 syndrome," which includes panic disorder, kidney or bladder problems, serious headaches, thyroid problems (usually hypothyroid), and/or mitral valve prolapse (MVP). In the course of a genetic linkage study of panic disorder, we noted these medical conditions in individual family members. (We were blind to family relationships and marker data.) We hypothesized that there may exist a subgroup of panic families with these medical conditions, which for simplicity we called it the "syndrome." Subsequently we reclassified the families as with or without the "syndrome" and extended the phenotype for analysis to include the above medical conditions. All these classifications were also done before the analysis and blind to marker data. We then examined our linkage results, looking for significant differences between families with and without the "syndrome" (using several definitions of the "syndrome")-i.e., testing for genetic heterogeneity. When the families with and without bladder/kidney problems were separated from each other, one marker-D13S779 (ATA26D07)-yielded a lod score of over 3 in the families with bladder/kidney problems. This lod score went up to 4.2 in these families when we diagnosed any individual with any one of the "syndrome" conditions as affected. These results were statistically significant even after applying an extremely overconservative Bonferroni correction for multiple tests. We present these results in order to alert other investigators working on panic disorder, for replication. If replicated, one may hypothesize that a candidate gene for the syndrome should be expressed in CNS, kidney, gut, thyroid, etc. We also noted that two independent studies report recent linkage findings between schizophrenia and the same region on chromosome 13. No connection between schizophrenia and panic disorder has ever been reported. Finally, we suggest that genetic studies of psychiatric disorders might prove more fruitful if phenotypes were expanded to include possible manifestations of the disorder in medical (non-mental) symptoms. Am. J. Med. Genet.(Neuropsychiatr. Genet.) 96:24-35, 2000.
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Affiliation(s)
- M M Weissman
- Department of Psychiatry, College of Physicians and Surgeons at Columbia University, New York, New York, USA.
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790
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Rapley EA, Crockford GP, Teare D, Biggs P, Seal S, Barfoot R, Edwards S, Hamoudi R, Heimdal K, Fossâ SD, Tucker K, Donald J, Collins F, Friedlander M, Hogg D, Goss P, Heidenreich A, Ormiston W, Daly PA, Forman D, Oliver TD, Leahy M, Huddart R, Cooper CS, Bodmer JG, Easton DF, Stratton MR, Bishop DT. Localization to Xq27 of a susceptibility gene for testicular germ-cell tumours. Nat Genet 2000; 24:197-200. [PMID: 10655070 DOI: 10.1038/72877] [Citation(s) in RCA: 208] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Testicular germ-cell tumours (TGCT) affect 1 in 500 men and are the most common cancer in males aged 15-40 in Western European populations. The incidence of TGCT has risen dramatically over the last century. Known risk factors for TGCT include a history of undescended testis (UDT), testicular dysgenesis, infertility, previously diagnosed TGCT (ref. 7) and a family history of the disease. Brothers of men with TGCT have an 8-10-fold risk of developing TGCT (refs 8,9), whereas the relative risk to fathers and sons is fourfold (ref. 9). This familial relative risk is much higher than that for most other types of cancer. We have collected samples from 134 families with two or more cases of TGCT, 87 of which are affected sibpairs. A genome-wide linkage search yielded a heterogeneity lod (hlod) score of 2.01 on chromosome Xq27 using all families compatible with X inheritance. We obtained a hlod score of 4.7 from families with at least one bilateral case, corresponding to a genome-wide significance level of P=0.034. The proportion of families with UDT linked to this locus was 73% compared with 26% of families without UDT (P=0.03). Our results provide evidence for a TGCT susceptibility gene on chromosome Xq27 that may also predispose to UDT.
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Affiliation(s)
- E A Rapley
- Sections of Cancer Genetics and Molecular Carcinogenesis, Institute of Cancer Research, Haddow Laboratories, Sutton, Surrey, UK
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791
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Wieser T, Bönsch D, Eger K, Schulte-Mattler W, Zierz S. A family with PROMM not linked to the recently mapped PROMM locus DM2. Neuromuscul Disord 2000; 10:141-3. [PMID: 10714590 DOI: 10.1016/s0960-8966(99)00081-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Proximal myotonic myopathy is an autosomal dominantly inherited multisystem disorder, clinically similar to but genetically distinct from myotonic dystrophy (DM). A recently mapped second locus for myotonic dystrophy was thought to be an attractive candidate locus for PROMM, and this hypothesis was supported by reports of linkage to this locus in some PROMM families. We present a large German pedigree with PROMM in which linkage to this locus could be excluded, showing that PROMM is genetically heterogeneous.
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Affiliation(s)
- T Wieser
- Klinik und Poliklinik für Neurologie, Martin-Luther-Universität Halle/Wittenberg, Halle/Saale, Germany.
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792
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Brennan MD, Neibergs HL, Phillips K, Moseley S. Polymorphic markers for the arylsulfatase A gene reveal a greatly expanded meiotic map for the human 22q telomeric region. Genomics 2000; 63:430-2. [PMID: 10704291 DOI: 10.1006/geno.1999.6110] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Two microsatellite markers, D22S1743 and D22S1744, were developed for the arylsulfatase A (ARSA) region of chromosome 22q. Linkage analysis for 171 families, using nine reference markers covering all of 22q, placed these new markers 2.0 Kosambi cM distal to D22S526, making them more distal than any microsatellite markers currently on the Généthon or Marshfield linkage maps. Recombination between proximal markers D22S270/D22S683 and D22S446/D22S311 exhibited increased rates of female meiotic recombination compared to male recombination (P < 0.01). In contrast, the region encompassing sJCW16, D22S526, D22S1743, and D22S1744 exhibited relatively greater recombination in males (1.1 cM for females and 7.5 cM for males; chi(2); P < 0.005). These four distal markers lie in a region of hyperrecombination having a sex-averaged recombination ratio of between 8.3 (D22S1843/D22S1744) and 12 cM (sJCW16/D22S526) per megabase.
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Affiliation(s)
- M D Brennan
- Department of Biochemistry and Molecular Biology, University of Louisville Medical School, Louisville, Kentucky 40292, USA.
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793
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Lien S, Szyda J, Schechinger B, Rappold G, Arnheim N. Evidence for heterogeneity in recombination in the human pseudoautosomal region: high resolution analysis by sperm typing and radiation-hybrid mapping. Am J Hum Genet 2000; 66:557-66. [PMID: 10677316 PMCID: PMC1288109 DOI: 10.1086/302754] [Citation(s) in RCA: 91] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
Abstract
Accurate genetic and physical maps for the human pseudoautosomal region were constructed by use of sperm typing and high-resolution radiation-hybrid mapping. PCR analysis of 1,912 sperm was done with a manual, single-sperm isolation method. Data on four donors show highly significant linkage heterogeneity among individuals. The most significant difference was observed in a marker interval located in the middle of the Xp/Yp pseudoautosomal region, where one donor showed a particularly high recombination fraction. Longitudinal models were fitted to the data to test whether linkage heterogeneity among donors was significant for multiple intervals across the region. The results indicated that increased recombination in particular individuals and regions is compensated for by reduced recombination in neighboring intervals. To investigate correspondence between physical and genetic distances within the region, we constructed a high-resolution radiation-hybrid map containing 29 markers. The recombination fraction per unit of physical distance varies between regions ranging from 13- to 70-fold greater than the genome-average rate.
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Affiliation(s)
- S Lien
- Department of Animal Science, Agricultural University of Norway, Aas, Norway
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794
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Omran H, Fernandez C, Jung M, Häffner K, Fargier B, Villaquiran A, Waldherr R, Gretz N, Brandis M, Rüschendorf F, Reis A, Hildebrandt F. Identification of a new gene locus for adolescent nephronophthisis, on chromosome 3q22 in a large Venezuelan pedigree. Am J Hum Genet 2000; 66:118-27. [PMID: 10631142 PMCID: PMC1360127 DOI: 10.1086/302705] [Citation(s) in RCA: 67] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
Abstract
Nephronophthisis, an autosomal-recessive cystic kidney disease, is the most frequent monogenic cause for renal failure in childhood. Infantile and juvenile forms of nephronophthisis are known to originate from separate gene loci. We describe here a new disease form, adolescent nephronophthisis, that is clearly distinct by clinical and genetic findings. In a large, 340-member consanguineous Venezuelan kindred, clinical symptoms and renal pathology were evaluated. Onset of terminal renal failure was compared with that in a historical sample of juvenile nephronophthisis. Onset of terminal renal failure in adolescent nephronophthisis occurred significantly later (median age 19 years, quartile borders 16.0 and 25.0 years) than in juvenile nephronophthisis (median age 13.1 years, quartile borders 11.3 and 17.3 years; Wilcoxon test P=.0069). A total-genome scan of linkage analysis was conducted and evaluated by LOD score and total-genome haplotype analyses. A gene locus for adolescent nephronophthisis was localized to a region of homozygosity by descent, on chromosome 3q22, within a critical genetic interval of 2. 4 cM between flanking markers D3S1292 and D3S1238. The maximum LOD score for D3S1273 was 5.90 (maximum recombination fraction.035). This locus is different than that identified for juvenile nephronophthisis. These findings will have implications for diagnosis and genetic counseling in hereditary chronic renal failure and provide the basis for identification of the responsible gene.
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Affiliation(s)
- Heymut Omran
- University Children's Hospital Freiburg,
Freiburg; University Hospital Los Andes, Merida, Venezuela;
Microsatellite Center, Max-Delbrück Center
Berlin, and Institute of Human Genetics, Charité,
Humboldt University, Berlin; and Institute of Pathology, and
Medical Research Center of Heidelberg University, Heidelberg,
Germany
| | - Carmen Fernandez
- University Children's Hospital Freiburg,
Freiburg; University Hospital Los Andes, Merida, Venezuela;
Microsatellite Center, Max-Delbrück Center
Berlin, and Institute of Human Genetics, Charité,
Humboldt University, Berlin; and Institute of Pathology, and
Medical Research Center of Heidelberg University, Heidelberg,
Germany
| | - Martin Jung
- University Children's Hospital Freiburg,
Freiburg; University Hospital Los Andes, Merida, Venezuela;
Microsatellite Center, Max-Delbrück Center
Berlin, and Institute of Human Genetics, Charité,
Humboldt University, Berlin; and Institute of Pathology, and
Medical Research Center of Heidelberg University, Heidelberg,
Germany
| | - Karsten Häffner
- University Children's Hospital Freiburg,
Freiburg; University Hospital Los Andes, Merida, Venezuela;
Microsatellite Center, Max-Delbrück Center
Berlin, and Institute of Human Genetics, Charité,
Humboldt University, Berlin; and Institute of Pathology, and
Medical Research Center of Heidelberg University, Heidelberg,
Germany
| | - Bernardo Fargier
- University Children's Hospital Freiburg,
Freiburg; University Hospital Los Andes, Merida, Venezuela;
Microsatellite Center, Max-Delbrück Center
Berlin, and Institute of Human Genetics, Charité,
Humboldt University, Berlin; and Institute of Pathology, and
Medical Research Center of Heidelberg University, Heidelberg,
Germany
| | - Aminta Villaquiran
- University Children's Hospital Freiburg,
Freiburg; University Hospital Los Andes, Merida, Venezuela;
Microsatellite Center, Max-Delbrück Center
Berlin, and Institute of Human Genetics, Charité,
Humboldt University, Berlin; and Institute of Pathology, and
Medical Research Center of Heidelberg University, Heidelberg,
Germany
| | - Rüdiger Waldherr
- University Children's Hospital Freiburg,
Freiburg; University Hospital Los Andes, Merida, Venezuela;
Microsatellite Center, Max-Delbrück Center
Berlin, and Institute of Human Genetics, Charité,
Humboldt University, Berlin; and Institute of Pathology, and
Medical Research Center of Heidelberg University, Heidelberg,
Germany
| | - Norbert Gretz
- University Children's Hospital Freiburg,
Freiburg; University Hospital Los Andes, Merida, Venezuela;
Microsatellite Center, Max-Delbrück Center
Berlin, and Institute of Human Genetics, Charité,
Humboldt University, Berlin; and Institute of Pathology, and
Medical Research Center of Heidelberg University, Heidelberg,
Germany
| | - Matthias Brandis
- University Children's Hospital Freiburg,
Freiburg; University Hospital Los Andes, Merida, Venezuela;
Microsatellite Center, Max-Delbrück Center
Berlin, and Institute of Human Genetics, Charité,
Humboldt University, Berlin; and Institute of Pathology, and
Medical Research Center of Heidelberg University, Heidelberg,
Germany
| | - Franz Rüschendorf
- University Children's Hospital Freiburg,
Freiburg; University Hospital Los Andes, Merida, Venezuela;
Microsatellite Center, Max-Delbrück Center
Berlin, and Institute of Human Genetics, Charité,
Humboldt University, Berlin; and Institute of Pathology, and
Medical Research Center of Heidelberg University, Heidelberg,
Germany
| | - André Reis
- University Children's Hospital Freiburg,
Freiburg; University Hospital Los Andes, Merida, Venezuela;
Microsatellite Center, Max-Delbrück Center
Berlin, and Institute of Human Genetics, Charité,
Humboldt University, Berlin; and Institute of Pathology, and
Medical Research Center of Heidelberg University, Heidelberg,
Germany
| | - Friedhelm Hildebrandt
- University Children's Hospital Freiburg,
Freiburg; University Hospital Los Andes, Merida, Venezuela;
Microsatellite Center, Max-Delbrück Center
Berlin, and Institute of Human Genetics, Charité,
Humboldt University, Berlin; and Institute of Pathology, and
Medical Research Center of Heidelberg University, Heidelberg,
Germany
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795
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Lee YA, Stevens HP, Delaporte E, Wahn U, Reis A. A gene for an autosomal dominant scleroatrophic syndrome predisposing to skin cancer (Huriez syndrome) maps to chromosome 4q23. Am J Hum Genet 2000; 66:326-30. [PMID: 10631162 PMCID: PMC1288338 DOI: 10.1086/302718] [Citation(s) in RCA: 37] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
MESH Headings
- Abnormalities, Multiple/genetics
- Abnormalities, Multiple/pathology
- Carcinoma, Squamous Cell/genetics
- Carcinoma, Squamous Cell/pathology
- Chromosome Mapping
- Chromosomes, Human, Pair 4
- Haplotypes
- Humans
- Keratoderma, Palmoplantar/congenital
- Keratoderma, Palmoplantar/genetics
- Keratoderma, Palmoplantar/pathology
- Limb Deformities, Congenital/genetics
- Limb Deformities, Congenital/pathology
- Lod Score
- Microsatellite Repeats/genetics
- Nail Diseases/congenital
- Nail Diseases/genetics
- Nail Diseases/pathology
- Pedigree
- Risk Factors
- Skin Neoplasms/genetics
- Skin Neoplasms/pathology
- Syndrome
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Affiliation(s)
- Young-Ae Lee
- Gene Mapping Center, Max-Delbrück Centrum, Institute of Human Genetics, and Department of Pediatrics, Pneumology, and Immunology, Charite, Campus Virchow, Humboldt-University, Berlin; Academic Department of Dermatology, St. Bartholomew's and Royal London School of Medicine and Dentistry, London; Department of Dermatology, Barnet General Hospital, Wellhouse Lane, Barnet, Herts, United Kingdom; and Service de Dermatologie A, Hôpital Claude-Huriez, Lille, France
| | - Howard P. Stevens
- Gene Mapping Center, Max-Delbrück Centrum, Institute of Human Genetics, and Department of Pediatrics, Pneumology, and Immunology, Charite, Campus Virchow, Humboldt-University, Berlin; Academic Department of Dermatology, St. Bartholomew's and Royal London School of Medicine and Dentistry, London; Department of Dermatology, Barnet General Hospital, Wellhouse Lane, Barnet, Herts, United Kingdom; and Service de Dermatologie A, Hôpital Claude-Huriez, Lille, France
| | - Emmanuel Delaporte
- Gene Mapping Center, Max-Delbrück Centrum, Institute of Human Genetics, and Department of Pediatrics, Pneumology, and Immunology, Charite, Campus Virchow, Humboldt-University, Berlin; Academic Department of Dermatology, St. Bartholomew's and Royal London School of Medicine and Dentistry, London; Department of Dermatology, Barnet General Hospital, Wellhouse Lane, Barnet, Herts, United Kingdom; and Service de Dermatologie A, Hôpital Claude-Huriez, Lille, France
| | - Ulrich Wahn
- Gene Mapping Center, Max-Delbrück Centrum, Institute of Human Genetics, and Department of Pediatrics, Pneumology, and Immunology, Charite, Campus Virchow, Humboldt-University, Berlin; Academic Department of Dermatology, St. Bartholomew's and Royal London School of Medicine and Dentistry, London; Department of Dermatology, Barnet General Hospital, Wellhouse Lane, Barnet, Herts, United Kingdom; and Service de Dermatologie A, Hôpital Claude-Huriez, Lille, France
| | - André Reis
- Gene Mapping Center, Max-Delbrück Centrum, Institute of Human Genetics, and Department of Pediatrics, Pneumology, and Immunology, Charite, Campus Virchow, Humboldt-University, Berlin; Academic Department of Dermatology, St. Bartholomew's and Royal London School of Medicine and Dentistry, London; Department of Dermatology, Barnet General Hospital, Wellhouse Lane, Barnet, Herts, United Kingdom; and Service de Dermatologie A, Hôpital Claude-Huriez, Lille, France
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796
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Daw EW, Kumm J, Snow GL, Thompson EA, Wijsman EM. Monte Carlo Markov chain methods for genome screening. Genet Epidemiol 1999; 17 Suppl 1:S133-8. [PMID: 10597425 DOI: 10.1002/gepi.1370170723] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
We used Monte Carlo Markov chain (MCMC) methods to analyze a quantitative trait, MAO level, and a discrete trait, Collaborative Study on the Genetics of Alcoholism (COGA) alcoholism. Segregation, linkage, and haplotype sharing were analyzed and effects of marker map features were examined. For MAO, modest signals were found on chromosomes 1 and 17 for raw data, and 15 for covariate-adjusted data. For alcoholism, a strong signal was found on chromosome 1 with modest signals on chromosomes 4 and 10.
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Affiliation(s)
- E W Daw
- Division of Medical Genetics, University of Washington, Seattle 98195, USA
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797
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Abstract
The identification of genes contributing to variation in complex phenotypes requires genetic data of high fidelity. Thus, the identification of pedigree and genotyping errors is a crucial prerequisite to the analysis of data from a genome scan for disease genes. The problem has been given little attention in most gene hunting papers; the focus has often been on eliminating mendelian inconsistencies in order that the analysis may proceed, rather than on achieving the best possible data. Though a number of computer programs are available to assist in the identification of genotyping and pedigree errors, the process is still not completely automated. While the Collaborative Study on the Genetics of Alcoholism (COGA) data set for GAW11 is completely compatible with Mendel's rules, there are still some errors present. We inspected the COGA data for the presence of additional errors, and identified five possible pedigree errors.
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Affiliation(s)
- K W Broman
- Marshfield Medical Research Foundation, Wisconsin, USA
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798
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Broman KW, Weber JL. Long homozygous chromosomal segments in reference families from the centre d'Etude du polymorphisme humain. Am J Hum Genet 1999; 65:1493-500. [PMID: 10577902 PMCID: PMC1288359 DOI: 10.1086/302661] [Citation(s) in RCA: 211] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/1999] [Accepted: 09/28/1999] [Indexed: 11/04/2022] Open
Abstract
Using genotypes from nearly 8,000 short tandem-repeat polymorphisms typed in eight of the reference families from the Centre d'Etude du Polymorphisme Humain (CEPH), we identified numerous long chromosomal segments of marker homozygosity in many CEPH individuals. These segments are likely to represent autozygosity, the result of the mating of related individuals. Confidence that the complete segment is homozygous is gained only with markers of high density. The longest segment in the eight families spanned 77 cM and included 118 homozygous markers. All individuals in family 884 showed at least one segment of homozygosity: the father and mother were homozygous in 8 and 10 segments with an average length of 13 and 16 cM, respectively, and covering a total of 105 and 160 cM, respectively. The progeny in family 884 were homozygous over 5-16 segments with average length 11 cM. The progeny in family 102 were homozygous over 4-12 segments with average length 19 cM. Of the 100 individuals in the other six families, 1 had especially long homozygous segments, and 19 had short but significant homozygous segments. Our results indicate that long homozygous segments are common in humans and that these segments could have a substantial impact on gene mapping and health.
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Affiliation(s)
- K W Broman
- Marshfield Medical Research Foundation, Marshfield, WI, USA.
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799
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Neuhausen SL, Farnham JM, Kort E, Tavtigian SV, Skolnick MH, Cannon-Albright LA. Prostate cancer susceptibility locus HPC1 in Utah high-risk pedigrees. Hum Mol Genet 1999; 8:2437-42. [PMID: 10556291 DOI: 10.1093/hmg/8.13.2437] [Citation(s) in RCA: 53] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
A prostate cancer susceptibility locus ( HPC1 ) at 1q24-25 has been identified. Subsequent analysis showed that the majority of the evidence for localization was provided by families with relatively young (<65 years) average age at diagnosis. We examined evidence for linkage to this region in a set of 41 extended multi-case prostate cancer pedigrees containing 440 prostate cancer cases. Genotyping of five short tandem repeat markers in the region was performed on DNA from 1724 individuals, including 284 prostate cancer cases. In comparison with the families reported in the initial localization, the Utah pedigrees are generally much larger (average of 10.7 versus 5.1 cases) and have an older average age at diagnosis (69 versus 65 years). Two- and three-point linkage analyses were conducted using a previously reported model and provided replication for HPC1 (two-point: LOD = 1.73, P = 0.005 at D1S196; three-point: LOD = 2.06, P = 0.002 for the interval D1S196-D1S416 ). The youngest quartile (by median age at diagnosis) yielded a maximum LOD of 2.82, P = 0. 0003 (at D1S215-D1S222 ), compared with a maximum LOD of 0.73, P = 0. 07 for the oldest quartile pedigrees at the same locus. Further analysis with an age-dependent model, specifying higher sporadic rates for older cases, suggests that the linkage evidence may be lower than expected given the power of the resource due to a high sporadic rate in the large Utah pedigrees.
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Affiliation(s)
- S L Neuhausen
- Department of Medical Informatics, University of Utah School of Medicine, Salt Lake City, UT, USA
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800
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Pearce SH, Vaidya B, Imrie H, Perros P, Kelly WF, Toft AD, McCarthy MI, Young ET, Kendall-Taylor P. Further evidence for a susceptibility locus on chromosome 20q13.11 in families with dominant transmission of Graves disease. Am J Hum Genet 1999; 65:1462-5. [PMID: 10521315 PMCID: PMC1288301 DOI: 10.1086/302610] [Citation(s) in RCA: 42] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022] Open
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