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In the case of family data, association was tested both in separate families and across all families together.
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Association was tested using three different types of genetic models on the same data set.
Association was tested using chi-square statistics.
In the NESDA/NTR data set, SNP associations were tested in a linear model assuming additive SNP effects using Plink (v1.07).
Data was analyzed using SPSS v.15 and associations were tested using the Pearson's Chi square test.
Associations were tested by regression analysis.
Categorical associations were tested using χ tests.
The association of clinical data was tested by χ2-test, Fisher's exact test and Kruskal-Wallis-test. Logrank test was used to compare outcome data.
Non-parametric correlation was assessed by Spearman coefficient, association between normally distributed data was tested by Pearson's correlation test.
A set of 6 036 699 high-quality SNPs from imputation using the 1000 Genomes Project data was tested for the association with advanced AMD.
The association between genotypes and clinical data will be tested with χ- or Fisher test and then with logistic regression or analysis of co-variance, as appropriate [ 67].
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