“…The effects of individual SNPs may be with limited value in predicting risks, and combining multiple low-penetrance SNPs may have stronger predictive power. There have been a few studies on the gene-gene interaction in affecting risk for PD, such as SNCA and MAPT gene, SNCA, MAPT and GSK3B, and FGF20 and MAOB Gao et al, 2008;Trotta et al, 2012;Wider et al, 2011), but little positive effects have been found. Our present study is the first comprehensive study paying attention on independent and joint effects of the variants within SNCA, LRRK2, GBA, MAPT, PARK16, GAK, HLA-DR, and BST1 genes or loci in PD in an ethnically homogeneous Chinese population.…”