Literature DB >> 10597500

Meta-analysis by combining p-values: simulated linkage studies.

R Guerra1, C J Etzel, D R Goldstein, S R Sain.   

Abstract

Meta-analysis has been little explored to make an overall assessment of linkage from different studies. In practice, it is likely that published linkage studies will only report p-values. We compared the performance of the widely used Fisher method for combining p-values with that of pooling raw data. More loci were consistently found by pooling raw data. In the absence of further information, combining p-values can provide an overall, but limited, assessment of different linkage studies. However, meta-analysis would be better viewed as a preliminary step toward the goal of analyzing the pooled raw data.

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Year:  1999        PMID： 10597500     DOI： 10.1002/gepi.1370170798

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN： 0741-0395            Impact factor:   2.135


  13 in total

1.  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

2.  The significance of not finding a gene.

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

3.  Genomewide scans of complex human diseases: true linkage is hard to find.

Authors:  J Altmüller; L J Palmer; G Fischer; H Scherb; M Wjst
Journal:  Am J Hum Genet       Date:  2001-09-14       Impact factor: 11.025

4.  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

Review 5.  "Are we there yet?": Deciding when one has demonstrated specific genetic causation in complex diseases and quantitative traits.

Authors:  Grier P Page; Varghese George; Rodney C Go; Patricia Z Page; David B Allison
Journal:  Am J Hum Genet       Date:  2003-09-17       Impact factor: 11.025

6.  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

7.  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

8.  Kernel-based association test.

Authors:  Hsin-Chou Yang; Hsin-Yi Hsieh; Cathy S J Fann
Journal:  Genetics       Date:  2008-06       Impact factor: 4.562

9.  African ancestry allelic variation at the MYH9 gene contributes to increased susceptibility to non-diabetic end-stage kidney disease in Hispanic Americans.

Authors:  Doron M Behar; Saharon Rosset; Shay Tzur; Sara Selig; Guennady Yudkovsky; Sivan Bercovici; Jeffrey B Kopp; Cheryl A Winkler; George W Nelson; Walter G Wasser; Karl Skorecki
Journal:  Hum Mol Genet       Date:  2010-02-09       Impact factor: 6.150

10.  Genome-wide linkage screen for stature and body mass index in 3.032 families: evidence for sex- and population-specific genetic effects.

Authors:  Sampo Sammalisto; Tero Hiekkalinna; Karen Schwander; Sharon Kardia; Alan B Weder; Beatriz L Rodriguez; Alessandro Doria; Jennifer A Kelly; Gail R Bruner; John B Harley; Susan Redline; Emma K Larkin; Sanjay R Patel; Amy J H Ewan; James L Weber; Markus Perola; Leena Peltonen
Journal:  Eur J Hum Genet       Date:  2008-09-10       Impact factor: 4.246
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