Here is the complete code with comments: # create a data frame for the gwas data gwas <- data.frame(chr = rep(1,8), pos = c(10511,15031,15245,30123,46285,49315,49318,51047), ID = letters[1:8]) # create a data frame for the interval data glist <- data.frame(chr = rep(1,9), start = c(12,10250,11237,15000,45500,49010,51001,67000,81000), end = c(900,11113,12545,16208,47123,50097,51987,69000,83000), name = c("kitty","tabby","scratch","spot","princess", "buddy","tiger","rocky","peep")) # define the function to find the gene name find_gene_name <- function(pos) { # filter the interval data to get the rows that match the pos value interval <- glist %>% filter(start <= pos & pos <= end) # if no matching rows, return NA if (nrow(interval) < 1){ gname <- "NA" # or "none" etc.

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