Do Genes Associated with Dyslexia of Chinese Characters Evolve Neutrally?

Dyslexia, or reading disability, is found to have a genetic basis, and several related genes have been reported. We investigated whether natural selection has acted on single nucleotide polymorphisms (SNPs) that were reported to be associated with risk/non-risk for the reading disability of Chinese characters. We applied recently developed 2D SFS-based statistics to SNP data of East Asian populations to examine whether there is any sign of selective sweep. While neutrality was not rejected for most SNPs, significant signs of selection were detected for two linkage disequilibrium (LD) regions containing the reported SNPs of GNPTAB and DCDC2. Furthermore, we searched for a selection target site among the SNPs in these LD regions, because a causal site is not necessarily a reported SNP but could instead be a tightly linked site. In both LD regions, we found candidate target sites, which may have an effect on expression regulation and have been selected, although which genes these SNPs affect remains unknown. Because most people were not engaged in reading until recently, it is unlikely that there has been selective pressure on reading ability itself. Consistent with this, our results suggest a possibility of genetic hitchhiking, whereby alleles of the reported SNPs may have increased in frequency together with the selected target, which could have functions for other genes and traits apart from reading ability.

Two-dimensional site frequency spectrum for detecting, classifying and dating incomplete selective sweeps.

The two-dimensional site frequency spectrum (2D SFS) was investigated to describe the intra-allelic variability (IAV) maintained within a derived allele (D) group that has undergone an incomplete selective sweep against an ancestral allele group. We observed that recombination certainly muddles the ancestral relationships of allelic lineages between the two allele groups; however, the 2D SFS reveals intriguing signatures of recombination as well as the genealogical structure of the D group, particularly the size of a mutation and the time to the most recent common ancestor (TMRCA). Coalescent simulations were performed to achieve powerful and robust 2D SFS-based statistics with special reference to accurate evaluation of IAV, significance of recombination effects, and distinction between hard and soft selective sweeps. These studies were extended to a case wherein an incomplete selective sweep is no longer in progress and ceased in the recent past. The 2D SFS-based method was applied to 100 intronic linkage disequilibrium regions randomly chosen from the East Asian population of modern humans to examine the P value distributions of the summary statistics under the null hypothesis of neutrality in a nonequilibrium demographic model. We argue that about 96% of intronic variants are non-adaptive with a 10% false discovery rate. Furthermore, this method was applied to six genomic regions in Eurasian populations that were claimed to have experienced recent selective sweeps. We found that two of these genomic regions did not have significant signals of selective sweeps, but the remaining four had undergone hard and soft sweeps and were dated, in terms of TMRCA, after the major out-of-Africa dispersal of modern humans.