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 Status: Updated 18 April 2011;  ***Please see legend below and consult the "Top Results Methods" for details on new ranking procedure***
Ranking based on HuGENet interim guidelines for the assessment of genetic association studies
# Gene Polymorphism Ethnicity OR (95% CI) P-value N minor (Grade) I2 (Grade) Bias Reason (Grade) Overall Grade Bayes Factor (log10)
1 APOE_e2/3/4 APOE_e2/3/4All3.685 (3.30-4.12)<1E-504167 (A)n.a. (A) (A)A>50
2 BIN1 rs744373All1.166 (1.13-1.20)1.59E-2649650 (A)n.a. (A) (A)A23.4
3 CLU rs11136000Caucasian0.879 (0.86-0.90)3.37E-2372432 (A)n.a. (A) (A)A20.1
4 ABCA7 rs3764650All1.229 (1.18-1.28)8.17E-2260569 (A)n.a. (A) (A)A18.8
5 CR1 rs3818361Caucasian1.174 (1.14-1.21)4.72E-2147052 (A)n.a. (A) (A)A18.1
6 PICALM rs3851179Caucasian0.879 (0.86-0.9)2.85E-2044358 (A)n.a. (A) (A)A17.3
7 MS4A6A rs610932All0.904 (0.88-0.93)1.81E-1163026 (A)n.a. (A) (A)A8.7
8 CD33 rs3865444All0.893 (0.86-0.93)2.04E-1037767 (A)n.a. (A) (A)A7.7
9 MS4A4E rs670139All1.079 (1.05-1.11)9.51E-1064577 (A)n.a. (A) (A)A6.9
10 CD2AP rs9349407All1.117 (1.08-1.16)2.75E-0935840 (A)n.a. (A) (A)A6.6

NEW: Only meta-analysis results with P-values <0.00001 are displayed in this table. Please contact us to request a list of other at least nominally significant meta-analysis results.

Per gene/locus only one (i.e. the best associated) marker is listed, ranking is based on P-value. All results are assessed for their epidemiological credibility using two methods:

1. The HuGENet interim criteria for the cumulative assessment of genetic associations: These criteria (Ioannidis et al, 2008a; Khoury et al, 2009) take into account amount of evidence (i.e. sample size, measured as "N minor"), consistency of replication (i.e. heterogeneity across studies, measured as "I2" [NB: this criterion does not apply [n.a.] to genome-wide significant findings [P < 5.0E-8]), and protection from bias ("Bias reason"). Overall epidemiological credibility is graded as "A" (=strong) if associations received three A grades, "B" (=moderate) if they received at least one B grade but no C grades, and "C" (=weak) if they received a C grade in any of the three assessment criteria.

2. Bayesian analyses: For this assessment we calculate Bayes factors (expressed here as log10-values) assuming an average non-null odds ratio of 1.15 using a spike and smear prior distribution of effects (as described in Ioannidis, 2008b) Generally, a logBF ≥5, which suggests that the data increase over 100,000-fold the odds of a given finding being true vs. not true, is considered as strong support in the context of genetic association studies (Stephens and Balding, 2009).

For more details see "Top Results Methods" and reference below.

Ioannidis JP, Boffetta P, Little J, O'Brien TR, Uitterlinden AG, Vineis P, Balding DJ, Chokkalingam A, Dolan SM, Flanders WD, Higgins JP, McCarthy MI, McDermott DH, Page GP, Rebbeck TR, Seminara D, Khoury MJ (2008a) "Assessment of cumulative evidence on genetic associations: interim guidelines." Int J Epidemiol 37(1):120-32. Abstract

Ioannidis JP (2008b) "Effect of Formal Statistical Significance on the Credibility of Observational Associations." Am J Epidemiol 168:374-383. Abstract

Khoury MJ, Bertram L, Boffetta P, Butterworth AS, Chanock SJ, Dolan SM, Fortier I, Garcia-Closas M, Gwinn M, Higgins JP, Janssens AC, Ostell J, Owen RP, Pagon RA, Rebbeck TR, Rothman N, Bernstein JL, Burton PR, Campbell H, Chockalingam A, Furberg H, Little J, O'Brien TR, Seminara D, Vineis P, Winn DM, Yu W, Ioannidis JP (2009) "Genome-wide association studies, field synopses, and the development of the knowledge base on genetic variation and human diseases." Am J Epidemiol 170(3):269-79. Abstract

Stephens M, Balding DJ (2009) "Bayesian statistical methods for genetic association studies" Nat Rev Genet 10(10):681-90. Abstract

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Genes: 695
Polymorphisms: 2973
Meta-analyses: 320
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