Literature DB >> 16804532

Statistical false positive or true disease pathway?

John A Todd1.   

Abstract

Three very recent reports provide convincing statistical evidence (P < 10(-8)), at a genome-wide level, of the association of common polymorphisms with three different common diseases: systemic lupus erythematosus (IRF5), prostate cancer and type 1 diabetes (IFIH1 region). This adds to the trickle--soon to be a flood--of disease association results that are highly unlikely to be false positives. There are other convincing examples in the last 12 months: age-related macular degeneration (CFH), type 1 diabetes (IL2RA, also known as CD25) and type 2 diabetes (TCF7L2). Given 20 years of a literature full of irreproducible results, what has changed?

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Year:  2006        PMID: 16804532     DOI: 10.1038/ng0706-731

Source DB:  PubMed          Journal:  Nat Genet        ISSN: 1061-4036            Impact factor:   38.330


  45 in total

1.  Association between type 1 diabetes and GWAS SNPs in the southeast US Caucasian population.

Authors:  M V Prasad Linga Reddy; H Wang; S Liu; B Bode; J C Reed; R D Steed; S W Anderson; L Steed; D Hopkins; J-X She
Journal:  Genes Immun       Date:  2011-01-27       Impact factor: 2.676

2.  Gene by environment interaction and ambient air pollution.

Authors:  Isabelle Romieu; Hortensia Moreno-Macias; Stephanie J London
Journal:  Proc Am Thorac Soc       Date:  2010-05

3.  Genome scanning by composite likelihood.

Authors:  Newton Morton; Nikolas Maniatis; Weihua Zhang; Sarah Ennis; Andrew Collins
Journal:  Am J Hum Genet       Date:  2006-12-05       Impact factor: 11.025

Review 4.  Genetics of preeclampsia: paradigm shifts.

Authors:  Cees B M Oudejans; Marie van Dijk; Marjet Oosterkamp; Augusta Lachmeijer; Marinus A Blankenstein
Journal:  Hum Genet       Date:  2006-09-26       Impact factor: 4.132

5.  A high mobility group box-containing transcription factor leads to diabetes risk.

Authors:  Friedrich C Luft
Journal:  J Mol Med (Berl)       Date:  2006-11-08       Impact factor: 4.599

6.  Joint estimates of quantitative trait locus effect and frequency using synthetic recombinant populations of Drosophila melanogaster.

Authors:  Stuart J Macdonald; Anthony D Long
Journal:  Genetics       Date:  2007-04-15       Impact factor: 4.562

7.  Genetic and molecular epidemiology.

Authors:  John P A Ioannidis
Journal:  J Epidemiol Community Health       Date:  2007-09       Impact factor: 3.710

8.  IFIH1 polymorphisms are significantly associated with type 1 diabetes and IFIH1 gene expression in peripheral blood mononuclear cells.

Authors:  Siyang Liu; Hongjie Wang; Yulan Jin; Robert Podolsky; M V Prasad Linga Reddy; Jennifer Pedersen; Bruce Bode; John Reed; Dennis Steed; Steve Anderson; Ping Yang; Andy Muir; Leigh Steed; Diane Hopkins; Yihua Huang; Sharad Purohit; Cong-Yi Wang; Andrea K Steck; Annalisa Montemari; George Eisenbarth; Marian Rewers; Jin-Xiong She
Journal:  Hum Mol Genet       Date:  2008-10-16       Impact factor: 6.150

Review 9.  Pharmacogenetics: potential role in the treatment of diabetes and obesity.

Authors:  Adrian Vella; Michael Camilleri
Journal:  Expert Opin Pharmacother       Date:  2008-05       Impact factor: 3.889

Review 10.  Genetic architecture of cancer and other complex diseases: lessons learned and future directions.

Authors:  Lucia A Hindorff; Elizabeth M Gillanders; Teri A Manolio
Journal:  Carcinogenesis       Date:  2011-03-31       Impact factor: 4.944

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