“…Possible explanation for the lack of association between the Val66Met (rs6265) polymorphism and BPD in present metaanalysis may be due to (i) small sample size in included genetic association studies, (ii) different clinical criteria for selecting BPD patients and (iii) BDNF factor level decreases in subtype BPD II but not in BPD I. Meta-analysis is an acceptable powerful statistical tool which is used effectively to combine data from several similar case control studies to obtain reliable results. During past two decades, numerous meta-analysis were published which evaluated genetic polymorphism as risk factor for different diseases and disorders-likeschizophrenia , depression (Rai,2014), autism Rai and Kumar,2018), Glucose 6-phosphate deficiency , hyperuricemia , cleft lip and palate (Rai,2014(Rai, ,2017, male infertility (Rai and Kumar,2017), Down syndrome (Rai,2011;Rai and Kumar,2018), epilepsy , Uterine Leiomyoma , recurrent pregnancy loss , breast cancer (Rai,2014;, digestive tract cancer (Yadav et al,2018), colorectal cancer (Rai, 2015), esophageal cancer (Kumar and Rai,2018), ovary cancer (Rai,2016), and prostate cancer and endometrial cancer (Kumar and Rai,2018) etc. Despite the clear strengths of present meta-analysis, including relatively large sample sizes and lack of publication bias, the interpretation of results should be done in light of few limitations like-(i) crude ORs without adjustment was used as association measure, adjusted analysis could not be done due to lack of sufficient raw data about related risk factors like substance abuse, alcohol intake etc., (ii) significant heterogeneity was observed in overall metaanalysis,(iii) single gene polymorphism was considered, and (iv) gene-environment interactions were not considered.…”