Literature DB >> 15998910

Mutation scanning by meltMADGE: validations using BRCA1 and LDLR, and demonstration of the potential to identify severe, moderate, silent, rare, and paucimorphic mutations in the general population.

Khalid K Alharbi1, Mohammed A Aldahmesh, Emmanuel Spanakis, Lema Haddad, Roslyn A Whittall, Xiao-he Chen, Hamid Rassoulian, Matt J Smith, Julie Sillibourne, Nicola J Ball, Nikki J Graham, Patricia J Briggs, Iain A Simpson, David I W Phillips, Deborah A Lawlor, Shu Ye, Stephen E Humphries, Cyrus Cooper, George Davey Smith, Shah Ebrahim, Diana M Eccles, Ian N M Day.   

Abstract

We have developed a mutation-scanning approach suitable for whole population screening for unknown mutations. The method, meltMADGE, combines thermal ramp electrophoresis with MADGE to achieve suitable cost efficiency and throughput. The sensitivity was tested in blind trials using 54 amplicons representing the BRCA1 coding region and a panel of 94 unrelated family breast cancer risk consultands previously screened in a clinical diagnostic laboratory. All 10 common polymorphisms, 15/15 previously identified disease-causing mutations, and three previously untested single base changes were identified. Assays of LDLR exons 3 and 8 were validated in 460 familial hypercholesteremics and detected 8/9 known variants. We then applied the exon 3 assay in several DNA banks representing approximately 8000 subjects with known cholesterol values and applied both assays in one DNA bank (n = 3600). In exon 3 we identified one previously reported moderate mutation, P84S (n = 1), also associated with moderate hypercholesteremia in this subject; an unreported silent variant, N76N (n = 1); and known severe hypercholesteremia splice mutation 313+1G-->A (n = 2). Around exon 8 we identified a paucimorphism (n = 35) at the splice site 1061-8T-->C (known to be in complete linkage disequilibrium with T705I) and unreported sequence variants 1186+11G-->A (n = 1) and D335N G-->A (n = 1). The cholesterol value for D335N was on the 96.2 percentile and for T705I, 2/35 carriers were above the 99th percentile. Thus, variants with predicted severe, moderate, and no effect were identified at the population level. In contrast with case collections, CpG mutations predominated. MeltMADGE will enable definition of the full population spectrum of rare, paucimorphic, severe, moderate (forme fruste), and silent mutations and effects.

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Year:  2005        PMID: 15998910      PMCID: PMC1172041          DOI: 10.1101/gr.3313405

Source DB:  PubMed          Journal:  Genome Res        ISSN: 1088-9051            Impact factor:   9.043


  41 in total

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Review 2.  The mutational spectrum of single base-pair substitutions causing human genetic disease: patterns and predictions.

Authors:  D N Cooper; M Krawczak
Journal:  Hum Genet       Date:  1990-06       Impact factor: 4.132

3.  A simple salting out procedure for extracting DNA from human nucleated cells.

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Journal:  Nucleic Acids Res       Date:  1988-02-11       Impact factor: 16.971

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Journal:  Methods Enzymol       Date:  1987       Impact factor: 1.600

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Journal:  Lancet       Date:  1993-05-22       Impact factor: 79.321

6.  Two founder mutations in the LDL receptor gene in Norwegian familial hypercholesterolemia subjects.

Authors:  T P Leren; K Solberg; O K Rødningen; S Tonstad; L Ose
Journal:  Atherosclerosis       Date:  1994-12       Impact factor: 5.162

7.  Relation of fetal and infant growth to plasma fibrinogen and factor VII concentrations in adult life.

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Journal:  BMJ       Date:  1992-01-18

8.  Cytosine methylation and the fate of CpG dinucleotides in vertebrate genomes.

Authors:  D N Cooper; M Krawczak
Journal:  Hum Genet       Date:  1989-09       Impact factor: 4.132

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Authors:  H H Hobbs; M S Brown; J L Goldstein
Journal:  Hum Mutat       Date:  1992       Impact factor: 4.878

10.  Electrophoresis for genotyping: microtiter array diagonal gel electrophoresis on horizontal polyacrylamide gels, hydrolink, or agarose.

Authors:  I N Day; S E Humphries
Journal:  Anal Biochem       Date:  1994-11-01       Impact factor: 3.365

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  7 in total

1.  Family-specific aggregation of lipid GWAS variants confers the susceptibility to familial hypercholesterolemia in a large Austrian family.

Authors:  Elina Nikkola; Arthur Ko; Marcus Alvarez; Rita M Cantor; Kristina Garske; Elliot Kim; Stephanie Gee; Alejandra Rodriguez; Reinhard Muxel; Niina Matikainen; Sanni Söderlund; Mahdi M Motazacker; Jan Borén; Claudia Lamina; Florian Kronenberg; Wolfgang J Schneider; Aarno Palotie; Markku Laakso; Marja-Riitta Taskinen; Päivi Pajukanta
Journal:  Atherosclerosis       Date:  2017-07-22       Impact factor: 5.162

2.  Systematic analysis of variants related to familial hypercholesterolemia in families with premature myocardial infarction.

Authors:  Ingrid Brænne; Mariana Kleinecke; Benedikt Reiz; Elisabeth Graf; Tim Strom; Thomas Wieland; Marcus Fischer; Thorsten Kessler; Christian Hengstenberg; Thomas Meitinger; Jeanette Erdmann; Heribert Schunkert
Journal:  Eur J Hum Genet       Date:  2015-06-03       Impact factor: 4.246

3.  Haplotype analyses, mechanism and evolution of common double mutants in the human LDL receptor gene.

Authors:  M T Tejedor; A Cenarro; D Tejedor; M Stef; R Mateo-Gallego; I de Castro; A L García-Otin; L V Monteagudo; F Civeira; M Pocovi
Journal:  Mol Genet Genomics       Date:  2010-04-29       Impact factor: 3.291

Review 4.  Molecular genetics of human growth hormone, insulin-like growth factors and their pathways in common disease.

Authors:  Santiago Rodriguez; Tom R Gaunt; Ian N M Day
Journal:  Hum Genet       Date:  2007-05-30       Impact factor: 4.132

5.  MeltMADGE for mutation scanning of specific genes in population studies.

Authors:  Khalid K Alharbi; Mohammed A Aldahmesh; Tom R Gaunt; Hamid Rassoulian; Philip Ai Guthrie; Santiago Rodriguez; Christopher R Boustred; Emmanuel Spanakis; Ian N M Day
Journal:  Nat Protoc       Date:  2010-10-21       Impact factor: 13.491

6.  Cubic exact solutions for the estimation of pairwise haplotype frequencies: implications for linkage disequilibrium analyses and a web tool 'CubeX'.

Authors:  Tom R Gaunt; Santiago Rodríguez; Ian Nm Day
Journal:  BMC Bioinformatics       Date:  2007-11-02       Impact factor: 3.169

7.  Genetic screening for homozygous and heterozygous familial hypercholesterolemia.

Authors:  Maria C Izar; Valéria A Machado; Francisco A Fonseca
Journal:  Appl Clin Genet       Date:  2010-12-08
  7 in total

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