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Myriad Genetics

CompanyMunich, Germany
About: Myriad Genetics is a company organization based out in Munich, Germany. It is known for research contribution in the topics: Cancer & Breast cancer. The organization has 562 authors who have published 586 publications receiving 56046 citations. The organization is also known as: Myriad Genetics, Inc..


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Journal ArticleDOI
01 Aug 2007-Genetics
TL;DR: The construction of a dense genetic map for Vitis vinifera and its anchoring to a BAC-based physical map is described, which provides the most comprehensive view of the Vitis genome reported to date and will be relevant for future studies on structural and functional genomics and genetic improvement.
Abstract: The construction of a dense genetic map for Vitis vinifera and its anchoring to a BAC-based physical map is described: it includes 994 loci mapped onto 19 linkage groups, corresponding to the basic chromosome number of Vitis. Spanning 1245 cM with an average distance of 1.3 cM between adjacent markers, the map was generated from the segregation of 483 single-nucleotide polymorphism (SNP)-based genetic markers, 132 simple sequence repeats (SSRs), and 379 AFLP markers in a mapping population of 94 F1 individuals derived from a V. vinifera cross of the cultivars Syrah and Pinot Noir. Of these markers, 623 were anchored to 367 contigs that are included in a physical map produced from the same clone of Pinot Noir and covering 352 Mbp. On the basis of contigs containing two or more genetically mapped markers, region-dependent estimations of physical and recombinational distances are presented. The markers used in this study include 118 SSRs common to an integrated map derived from five segregating populations of V. vinifera. The positions of these SSR markers in the two maps are conserved across all Vitis linkage groups. The addition of SNP-based markers introduces polymorphisms that are easy to database, are useful for evolutionary studies, and significantly increase the density of the map. The map provides the most comprehensive view of the Vitis genome reported to date and will be relevant for future studies on structural and functional genomics and genetic improvement.

146 citations

Journal ArticleDOI
TL;DR: Sources of error in commonly used methods of mutation detection that should be addressed by laboratories using these methods are characterised and provide a basis for interpreting studies of mutations in susceptibility genes across many inherited cancer syndromes.
Abstract: While sequence analysis is considered by many to be the most sensitive method of detecting unknown mutations in large genes such as BRCA1, most published estimates of the prevalence of mutations in this gene have been derived from studies that have used other methods of gene analysis. In order to determine the relative sensitivity of techniques that are widely used in research on BRCA1, a set of blinded samples containing 58 distinct mutations were analysed by four separate laboratories. Each used one of the following methods:single strand conformational polymorphism analysis (SSCP), conformation sensitive gel electrophoresis (CSGE), two dimensional gene scanning (TDGS), and denaturing high performance liquid chromatography (DHPLC). Only the laboratory using DHPLC correctly identified each of the mutations. The laboratory using TDGS correctly identified 91% of the mutations but produced three apparent false positive results. The laboratories using SSCP and CSGE detected abnormal migration for 72% and 76% of the mutations, respectively, but subsequently confirmed and reported only 65% and 60% of mutations, respectively. False negatives therefore resulted not only from failure of the techniques to distinguish wild type from mutant, but also from failure to confirm the mutation by sequence analysis as well as from human errors leading to misreporting of results. These findings characterise sources of error in commonly used methods of mutation detection that should be addressed by laboratories using these methods. Based upon sources of error identified in this comparison, it is likely that mutations in BRCA1 and BRCA2 are more prevalent than some studies have previously reported. The findings of this comparison provide a basis for interpreting studies of mutations in susceptibility genes across many inherited cancer syndromes. (J Med Genet 2001;38:824‐833)

141 citations

Journal ArticleDOI
TL;DR: In the genomewide search, a highly significant linkage to high body-mass index in female patients, at D4S2632, is identified, and therefore the gene in this region might account for a significant percentage of the genetic predisposition to severe obesity in females.
Abstract: Although the predisposition to morbid obesity is heritable, the identities of the disease-causing genes are largely unknown. Therefore, we have conducted a genomewide search with 628 markers, using multigenerational Utah pedigrees to identify genes involved in predisposition to obesity. In the genomewide search, we identified a highly significant linkage to high body-mass index in female patients, at D4S2632, with a multipoint heterogeneity LOD (HLOD) score of 6.1 and a nonparametric linkage (NPL) score of 5.3. To further delineate the linkage, we increased both the marker density around D4S2632 and the size of our pedigree data set. As a result, the linkage evidence increased to a multipoint HLOD score of 9.2 (at D4S3350) and an NPL score of 11.3. Evidence from almost half of the families in this analysis support this linkage, and therefore the gene in this region might account for a significant percentage of the genetic predisposition to severe obesity in females. However, further studies are necessary to clarify the effect that this gene has in males and in the general population.

136 citations

Journal ArticleDOI
09 Aug 2010-PLOS ONE
TL;DR: Computer analysis revealed that pathogen proteins preferentially interact with human proteins that are hubs and bottlenecks in the human PPI network, and computed modules of human-pathogen PPIs that are conserved amongst the three networks.
Abstract: Background Bacillus anthracis, Francisella tularensis, and Yersinia pestis are bacterial pathogens that can cause anthrax, lethal acute pneumonic disease, and bubonic plague, respectively, and are listed as NIAID Category A priority pathogens for possible use as biological weapons. However, the interactions between human proteins and proteins in these bacteria remain poorly characterized leading to an incomplete understanding of their pathogenesis and mechanisms of immune evasion.

135 citations

Journal ArticleDOI
TL;DR: Evaluation of a polymorphism located within intron 2 of BRCA1 gave results consistent with the presence of a large deletion in K2035 mutation carriers, and Sequencing indicated that unequal crossover between Alu repeats was the likely cause of the deletion.
Abstract: BRCA1 is a breast and ovarian cancer susceptibility gene. An inferred germline regulatory mutation was previously reported in the BRCA1-linked kindred K2035, based on the absence of transcripts from the BRCA1 allele associated with the cancer susceptibility haplotype. In this study, the promoter region of BRCA1 was examined in individuals from K2035 for evidence of a mutation which could halt transcription. Evaluation of a polymorphism located within intron 2 of BRCA1 gave results consistent with the presence of a large deletion in K2035 mutation carriers. Southern blot analysis identified unique restriction fragments which occurred as a result of a 14 kb deletion that removed both of BRCA1's transcription start sites (exons 1a and 1b) as well as exon 2. Sequencing indicated that unequal crossover between Alu repeats was the likely cause of the deletion. Similar deletions may be responsible for other reported inferred regulatory mutations, as well as unidentified mutations in families linked to BRCA1.

132 citations


Authors

Showing all 562 results

NameH-indexPapersCitations
Richard D. Smith140118079758
Rosalind A. Eeles10654445058
David E. Goldgar10341950450
Mark H. Pollack8946426511
Jacques Simard8340928493
Julian R. Sampson7121222192
Johanna M. Rommens7120242630
David A. Frank6820117557
Sean V. Tavtigian6519435641
Mark H. Skolnick6421130548
Lisa A. Cannon-Albright6232728945
Alexander Gutin5416717705
Dominic P. Williams491346665
Nelleke A. Gruis4915913080
Nicola J. Camp462137772
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20221
202139
202043
201930
201827
201724