Genomic regions associated with microdeletion/microduplication syndromes exhibit extreme diversity of structural variation. Issue 2 (6th January 2021)

• Record Type: Journal Article
• Authors: Mostovoy, Yulia; Yilmaz, Feyza; Chow, Stephen K; Chu, Catherine; Lin, Chin; Geiger, Elizabeth A; Meeks, Naomi J L; Chatfield, Kathryn C; Coughlin, Curtis R; Surti, Urvashi; Kwok, Pui-Yan; Shaikh, Tamim H
• Editors: Shendure, J
• Is Part Of: Genetics. Volume 217:Issue 2(2021)
• Publication Date: 2021-01-06
• Subjects: segmental duplications -- genome mapping -- structural variation -- genomic disorders; Genetics -- Periodicals; 576.5
• DOI: 10.1093/genetics/iyaa038
• Languages: English
• ISSNs: 0016-6731

Abstract

Abstract: Segmental duplications (SDs) are a class of long, repetitive DNA elements whose paralogs share a high level of sequence similarity with each other. SDs mediate chromosomal rearrangements that lead to structural variation in the general population as well as genomic disorders associated with multiple congenital anomalies, including the 7q11.23 (Williams–Beuren Syndrome, WBS), 15q13.3, and 16p12.2 microdeletion syndromes. Population-level characterization of SDs has generally been lacking because most techniques used for analyzing these complex regions are both labor and cost intensive. In this study, we have used a high-throughput technique to genotype complex structural variation with a single molecule, long-range optical mapping approach. We characterized SDs and identified novel structural variants (SVs) at 7q11.23, 15q13.3, and 16p12.2 using optical mapping data from 154 phenotypically normal individuals from 26 populations comprising five super-populations. We detected several novel SVs for each locus, some of which had significantly different prevalence between populations. Additionally, we localized the microdeletion breakpoints to specific paralogous duplicons located within complex SDs in two patients with WBS, one patient with 15q13.3, and one patient with 16p12.2 microdeletion syndromes. The population-level data presented here highlights the extreme diversity of large and complex SVs within SD-containing regions. The approach we outline will greatly facilitate the investigation of the role of inter-SD structural variation as a driver of chromosomal rearrangements and genomic disorders.