In Biostars forum for differential gene expression analysis by LIMMA I found that most people suggest to set a threshold value of Log2FC > or = 2 to filter DEGs. When I analyzed the  GEO dataset "GSE90594" - Agilent-039494 SurePrint G3 Human GE v2 8x60K Microarray 039381 platform for DEGs by LIMMA package, I found that very few genes only have a log 2FC value above 1. 

But in the original paper "Study of gene expression alteration in male androgenetic alopecia: evidence of predominant molecular signalling pathways" (http://doi.wiley.com/10.1111/bjd.15577), the authors reported that they obtained 325 UP and 390 DOWN regulated DEGs. They have followed a different approach for obtaining DEGs and reported the DEGs with Fold change (FC) values. Most of the UP regulated genes are reported with the FC value 1.5 to 2 range (log2FC value 0.58 to 1.3 approx). Similarly for down regulated genes FC values of 0.5 to 0.8 (log2Fc value -1 to -0.3) are considered. 

Is this right ? can we consider log2FC value of above 0.6 for UP and below -0.6 for DOWN DEGs. Please someone clarify this irrespective of p and FDR values. I consider a q value of 0.05 for DEG selection.  
  
Filter first by adjusted p-value and only then by a fold-change that makes sense for your experiment. This might be a fold-change of 1 or 0.5 or 2 or something else, there's no one-size-fits-all solution to that. In some cases you may not filter by fold-change at all.