Literature DB >> 10934526

Gene mapping by linkage and association analysis.

R E March1.   

Abstract

Genetic analysis is used to map genes, including disease loci, to positions within the human genome. Linkage analysis depends on the co-segregation of a gene (locus) and a phenotype through a pedigree, while association analysis, or linkage disequilibrium mapping, depends on measuring deviation from the random occurrence of alleles in a haplotype in unrelated individuals or nuclear families. Complex computer programs may be used in both forms of analysis. In recent years most interest has focused on identifying genes involved in common, multifactorial diseases. Here I review some current and developing techniques of genetic analysis and give references to where further information can be obtained.

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Year:  1999        PMID: 10934526     DOI: 10.1385/MB:13:2:113

Source DB:  PubMed          Journal:  Mol Biotechnol        ISSN: 1073-6085            Impact factor:   2.695


  45 in total

1.  Tests for linkage and association in nuclear families.

Authors:  E R Martin; N L Kaplan; B S Weir
Journal:  Am J Hum Genet       Date:  1997-08       Impact factor: 11.025

Review 2.  The relative power of family-based and case-control designs for linkage disequilibrium studies of complex human diseases I. DNA pooling.

Authors:  N Risch; J Teng
Journal:  Genome Res       Date:  1998-12       Impact factor: 9.043

3.  Parametric and nonparametric linkage analysis: a unified multipoint approach.

Authors:  L Kruglyak; M J Daly; M P Reeve-Daly; E S Lander
Journal:  Am J Hum Genet       Date:  1996-06       Impact factor: 11.025

Review 4.  The TDT and other family-based tests for linkage disequilibrium and association.

Authors:  R S Spielman; W J Ewens
Journal:  Am J Hum Genet       Date:  1996-11       Impact factor: 11.025

5.  A comprehensive genetic map of the human genome based on 5,264 microsatellites.

Authors:  C Dib; S Fauré; C Fizames; D Samson; N Drouot; A Vignal; P Millasseau; S Marc; J Hazan; E Seboun; M Lathrop; G Gyapay; J Morissette; J Weissenbach
Journal:  Nature       Date:  1996-03-14       Impact factor: 49.962

6.  Avoiding recomputation in linkage analysis.

Authors:  A A Schäffer; S K Gupta; K Shriram; R W Cottingham
Journal:  Hum Hered       Date:  1994 Jul-Aug       Impact factor: 0.444

7.  Fine mapping of the diabetes-susceptibility locus, IDDM4, on chromosome 11q13.

Authors:  Y Nakagawa; Y Kawaguchi; R C Twells; C Muxworthy; K M Hunter; A Wilson; M E Merriman; R D Cox; T Merriman; F Cucca; P A McKinney; J P Shield; J Tuomilehto; E Tuomilehto-Wolf; C Ionesco-Tirgoviste; L Nisticò; R Buzzetti; P Pozzilli; G Joner; E Thorsby; D E Undlien; F Pociot; J Nerup; K S Rönningen; S C Bain; J A Todd
Journal:  Am J Hum Genet       Date:  1998-08       Impact factor: 11.025

8.  Strategies for multilocus linkage analysis in humans.

Authors:  G M Lathrop; J M Lalouel; C Julier; J Ott
Journal:  Proc Natl Acad Sci U S A       Date:  1984-06       Impact factor: 11.205

Review 9.  Construction of a genetic linkage map in man using restriction fragment length polymorphisms.

Authors:  D Botstein; R L White; M Skolnick; R W Davis
Journal:  Am J Hum Genet       Date:  1980-05       Impact factor: 11.025

10.  The VITESSE algorithm for rapid exact multilocus linkage analysis via genotype set-recoding and fuzzy inheritance.

Authors:  J R O'Connell; D E Weeks
Journal:  Nat Genet       Date:  1995-12       Impact factor: 38.330

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  4 in total

Review 1.  Approaches for unraveling the joint genetic determinants of schizophrenia and bipolar disorder.

Authors:  Ping-I Lin; Braxton D Mitchell
Journal:  Schizophr Bull       Date:  2008-05-22       Impact factor: 9.306

2.  The Genetic Basis of the Polycystic Ovary Syndrome: A Literature Review Including Discussion of PPAR-gamma.

Authors:  Ugur Unluturk; Ayla Harmanci; Cetin Kocaefe; Bulent O Yildiz
Journal:  PPAR Res       Date:  2007       Impact factor: 4.964

Review 3.  Computational Genomics in the Era of Precision Medicine: Applications to Variant Analysis and Gene Therapy.

Authors:  Yung-Chun Wang; Yuchang Wu; Julie Choi; Garrett Allington; Shujuan Zhao; Mariam Khanfar; Kuangying Yang; Po-Ying Fu; Max Wrubel; Xiaobing Yu; Kedous Y Mekbib; Jack Ocken; Hannah Smith; John Shohfi; Kristopher T Kahle; Qiongshi Lu; Sheng Chih Jin
Journal:  J Pers Med       Date:  2022-01-27

4.  Predicting the genomic resolution of bulk segregant analysis.

Authors:  Runxi Shen; Philipp W Messer
Journal:  G3 (Bethesda)       Date:  2022-03-04       Impact factor: 3.154

  4 in total

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