Usage Information
Citation Information: JCI Insight. 2019;4(21):e129884. https://doi.org/10.1172/jci.insight.129884.
Abstract
Lymphatic malformations (LMs) are congenital, nonneoplastic vascular malformations associated with postzygotic activating PIK3CA mutations. The mutation spectrum within LMs is narrow, with the majority having 1 of 3 hotspot mutations. Despite this relative genetic homogeneity, clinical presentations differ dramatically. We used molecular inversion probes and droplet digital polymerase chain reaction to perform deep, targeted sequencing of PIK3CA in 271 affected and unaffected tissue samples from 81 individuals with isolated LMs and retrospectively collected clinical data. Pathogenic PIK3CA mutations were identified in affected LM tissue in 64 individuals (79%) with isolated LMs, with variant allele fractions (VAFs) ranging from 0.1% to 13%. Initial analyses revealed no correlation between VAF and phenotype variables. Recognizing that different mutations activate PI3K to varying degrees, we developed a metric, the genotype-adjusted VAF (GVAF), to account for differences in mutation strength, and found significantly higher GVAFs in LMs with more severe clinical characteristics including orofacial location or microcystic structure. In addition to providing insight into LM pathogenesis, we believe GVAF may have broad applicability for genotype-phenotype analyses in mosaic disorders.
Authors
Kaitlyn Zenner, Chi Vicky Cheng, Dana M. Jensen, Andrew E. Timms, Giridhar Shivaram, Randall Bly, Sheila Ganti, Kathryn B. Whitlock, William B. Dobyns, Jonathan Perkins, James T. Bennett
Usage data is cumulative from December 2023 through December 2024.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 702 | 247 |
| 87 | 51 | |
| Figure | 259 | 7 |
| Table | 64 | 0 |
| Supplemental data | 39 | 10 |
| Citation downloads | 48 | 0 |
| Totals | 1,199 | 315 |
| Total Views | 1,514 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.
