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Human-specific segmental duplications (HSDs) contain millions of base pairs of sequence unique to the human genome, including genes that shape neurodevelopment. Despite their young age (<6 million years), HSD genes exhibit widespread regulatory divergence, with paralog-specific expression patterns documented across a variety of tissues and cell types. Using long-read expression and epigenomic data, we show that human-specific paralogs tend to have lower activity than the shared, ancestral ones. To systematically characterize the cis-regulatory elements (CREs) within HSDs and understand patterns of regulatory change in recently evolved gene families, we conducted a massively parallel reporter assay of 7,160 human duplicated and chimpanzee orthologous sequences in lymphoblastoid (GM12878) and neuroblastoma (SH-SY5Y) cell lines. A large proportion (14–24%) of sequences exhibited differential activity relative to the chimpanzee ortholog (or between human paralogs), mostly with small fold-differences. Combining measured activity levels across all assayed sequences, predicted differences in cis-regulatory activity correlated with mRNA levels in SH-SY5Y. Differentially active CREs were validated for CHRFAM7A, HYDIN2, and SRGAP2C that may contribute to paralog-specific expression patterns and thereby to human-specific traits. While we find some changes in CRE activity shared between duplicate paralogs likely driving regulatory divergence in gene expression, consideration of non-shared adjacent sequences to duplications suggests a larger role for altered genome positional effects. In all, this work suggests that functional divergence of duplicated CREs contributes moderately to regulatory divergence of HSD genes and uncovers enhancers that are candidate drivers of human-specific regulatory patterns. 

Abstract Structural variants (SVs)—including duplications, deletions, and inversions of DNA—can have significant genomic and functional impacts but are technically difficult to identify and assay compared with single‐nucleotide variants. With the aid of new genomic technologies, it has become clear that SVs account for significant differences across and within species. This phenomenon is particularly well‐documented for humans and other primates due to the wealth of sequence data available. In great apes, SVs affect a larger number of nucleotides than single‐nucleotide variants, with many identified SVs exhibiting population and species specificity. In this review, we highlight the importance of SVs in human evolution by (1) how they have shaped great ape genomes resulting in sensitized regions associated with traits and diseases, (2) their impact on gene functions and regulation, which subsequently has played a role in natural selection, and (3) the role of gene duplications in human brain evolution. We further discuss how to incorporate SVs in research, including the strengths and limitations of various genomic approaches. Finally, we propose future considerations in integrating existing data and biospecimens with the ever‐expanding SV compendium propelled by biotechnology advancements.