Variants of uncertain significance in newborn screening disorders: implications for large-scale genomic sequencing

As exome and genome sequencing using high-throughput sequencing technologies move rapidly into the diagnostic process, laboratories and clinicians need to develop a strategy for dealing with uncertain findings. A commitment must be made to minimize these findings, and all parties may need to make adjustments to their processes. The information required to reclassify these variants is often available but not communicated to all relevant parties. To illustrate these issues, we focused on three well-characterized monogenic, metabolic disorders included in newborn screens: classic galactosemia, caused by GALT variants; phenylketonuria, caused by PAH variants; and medium-chain acyl-CoA dehydrogenase (MCAD) deficiency, caused by ACADM variants. In 10 years of clinical molecular testing, we have observed 134 unique GALT variants, 46 of which were variants of uncertain significance (VUS). In PAH, we observed 132 variants, including 17 VUS, and for ACADM, we observed 64 unique variants, of which 33 were uncertain. After this review, 17 VUS (37%; 7 in ACADM, 9 in GALT, and 1 in PAH) were reclassified from uncertain (6 to benign or likely benign and 11 to pathogenic or likely pathogenic). We identified common types of missing information that would have helped make a definitive classification and categorized this information by ease and cost to obtain.