Literature DB >> 9504931

Meta-analysis of linkage data under worst-case conditions: a demonstration using the human OB region.

D B Allison1, M Heo.   

Abstract

To date, few methods have been developed explicitly for meta-analysis of linkage analyses. Moreover, the methods that have been developed or suggested generally depend on certain ideal situations and have not been widely applied. In this article, we apply standard statistical theory and meta-analytic techniques in novel ways to five published papers discussing the evidence of linkage of body mass index (BMI) to the region of the human genome containing the OB gene. These methods are "inference based," meaning that they allow one to make statements about the statistical significance of the entire body of evidence. As currently developed, they do not allow specific statements to be made about the amount of variance explained by any putative locus or allow precise confidence intervals to be placed around the putative location of a linked locus. By applying these techniques to the literature on linkage in the human OB gene region, we are able to show that the evidence for linkage somewhere in the region is extremely strong (P = 1.5 x 10[-5]).

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Year:  1998        PMID: 9504931      PMCID: PMC1459818     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  23 in total

1.  An exploratory investigation of genetic linkage with body composition and fatness phenotypes: the Québec Family Study.

Authors:  I B Borecki; T Rice; L Pérusse; C Bouchard; D C Rao
Journal:  Obes Res       Date:  1994-05

2.  Linkage analysis of quantitative traits: increased power by using selected samples.

Authors:  G Carey; J Williamson
Journal:  Am J Hum Genet       Date:  1991-10       Impact factor: 11.025

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Journal:  JAMA       Date:  1990-03-09       Impact factor: 56.272

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Journal:  Genet Epidemiol       Date:  1989       Impact factor: 2.135

5.  Publication bias: the problem that won't go away.

Authors:  K Dickersin; Y I Min
Journal:  Ann N Y Acad Sci       Date:  1993-12-31       Impact factor: 5.691

6.  A random model approach to interval mapping of quantitative trait loci.

Authors:  S Xu; W R Atchley
Journal:  Genetics       Date:  1995-11       Impact factor: 4.562

Review 7.  Meta-analysis: statistical alchemy for the 21st century.

Authors:  A R Feinstein
Journal:  J Clin Epidemiol       Date:  1995-01       Impact factor: 6.437

8.  The investigation of linkage between a quantitative trait and a marker locus.

Authors:  J K Haseman; R C Elston
Journal:  Behav Genet       Date:  1972-03       Impact factor: 2.805

9.  The information contained in multiple sibling pairs.

Authors:  S E Hodge
Journal:  Genet Epidemiol       Date:  1984       Impact factor: 2.135

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Authors:  R S Spielman; R E McGinnis; W J Ewens
Journal:  Am J Hum Genet       Date:  1993-03       Impact factor: 11.025

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  20 in total

1.  Quantitative trait loci: a meta-analysis.

Authors:  B Goffinet; S Gerber
Journal:  Genetics       Date:  2000-05       Impact factor: 4.562

2.  Quantitative-trait loci influencing body-mass index reside on chromosomes 7 and 13: the National Heart, Lung, and Blood Institute Family Heart Study.

Authors:  Mary F Feitosa; Ingrid B Borecki; Stephen S Rich; Donna K Arnett; Phyliss Sholinsky; Richard H Myers; Mark Leppert; Michael A Province
Journal:  Am J Hum Genet       Date:  2001-11-16       Impact factor: 11.025

3.  A combined analysis of genomewide linkage scans for body mass index from the National Heart, Lung, and Blood Institute Family Blood Pressure Program.

Authors:  Xiaodong Wu; Richard S Cooper; Ingrid Borecki; Craig Hanis; Molly Bray; Cora E Lewis; Xiaofeng Zhu; Donghui Kan; Amy Luke; David Curb
Journal:  Am J Hum Genet       Date:  2002-03-28       Impact factor: 11.025

4.  The significance of not finding a gene.

Authors:  M A Province
Journal:  Am J Hum Genet       Date:  2001-07-30       Impact factor: 11.025

5.  Meta-analysis of genetic-linkage analysis of quantitative-trait loci.

Authors:  Carol J Etzel; Rudy Guerra
Journal:  Am J Hum Genet       Date:  2002-05-28       Impact factor: 11.025

6.  The future of association studies: gene-based analysis and replication.

Authors:  Benjamin M Neale; Pak C Sham
Journal:  Am J Hum Genet       Date:  2004-07-22       Impact factor: 11.025

7.  A male-specific quantitative trait locus on 1p21 controlling human stature.

Authors:  S Sammalisto; T Hiekkalinna; E Suviolahti; K Sood; A Metzidis; P Pajukanta; H E Lilja; A Soro-Paavonen; M-R Taskinen; T Tuomi; P Almgren; M Orho-Melander; L Groop; L Peltonen; M Perola
Journal:  J Med Genet       Date:  2005-04-12       Impact factor: 6.318

8.  An empirical Bayes method for updating inferences in analysis of quantitative trait loci using information from related genome scans.

Authors:  Kui Zhang; Howard Wiener; Mark Beasley; Varghese George; Christopher I Amos; David B Allison
Journal:  Genetics       Date:  2006-06-04       Impact factor: 4.562

9.  Genome scan for human obesity and linkage to markers in 20q13.

Authors:  J H Lee; D R Reed; W D Li; W Xu; E J Joo; R L Kilker; E Nanthakumar; M North; H Sakul; C Bell; R A Price
Journal:  Am J Hum Genet       Date:  1999-01       Impact factor: 11.025

10.  Data integration in genetics and genomics: methods and challenges.

Authors:  Jemila S Hamid; Pingzhao Hu; Nicole M Roslin; Vicki Ling; Celia M T Greenwood; Joseph Beyene
Journal:  Hum Genomics Proteomics       Date:  2009-01-12
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