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Genotype correlates with clinical severity in PIK3CA-associated lymphatic malformations
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
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
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Research Article Genetics Vascular biology

Genotype correlates with clinical severity in PIK3CA-associated lymphatic malformations

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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

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Figure 5

Variant allele fraction (VAF) and genotype-adjusted VAF (GVAF) comparisons by phenotype.

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Variant allele fraction (VAF) and genotype-adjusted VAF (GVAF) compariso...
(A) Dot-box plot of VAF by mutation. Wilcoxon’s rank-sum test of hotspots versus NHS showed a trend toward increased VAF with NHS (P = 0.062). (B and C) Dot-box plots with (B) VAF (blue) on the left and (C) GVAF (green) on the right plotted by the 4 phenotype outputs: primary location, laterality, cystic structure, and number of procedures. Boxes are defined by the first quartile inferiorly, median, and third quartile superiorly, with whiskers extending to the farthest non-outlier point (defined as within 1.5 times the interquartile range) (A–C). Statistically significant results were seen for GVAF when analyzed by location and macro- versus microcystic structure. *P < 0.05 via Wilcoxon’s rank-sum test. (D and E) Dot plots with dots colored by cystic structure for volume by VAF (D) and GVAF (E) showed no correlation by Pearson’s correlation (n = 31). NHS, non-hotspot mutations.

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