Spontaneous DNA damage frequently occurs on the human genome, and it could alter gene expression by inducing mutagenesis or epigenetic changes. Therefore, it is highly desired to profile DNA damage distribution on the human genome and identify the genes that are prone to DNA damage. Here, we present a novel single-cell whole-genome amplification method which employs linear-copying followed by a split-amplification scheme, to efficiently remove amplification errors and achieve accurate detection of DNA damage in individual cells. In comparison to previous methods that measure DNA damage, our method uses a next-generation sequencing platform to detect misincorporated bases derived from spontaneous DNA damage with single-cell resolution.