Tag Archives: STAT-Seq

Rapid Genome Sequencing in NICUs and PICUs

protocolSTAT-Seq to rapidly detect thousands of genetic diseases.

A recently published study in The Lancet Respiratory Medicine reveals the early results of the clinical usefulness of rapid whole genome sequencing in neonatal and pediatric intensive care units (NICUs and PICUs). Children’s Mercy Kansas City’s STAT-Seq test helped diagnose a genetic disease in more than one half of 35 critically ill infants tested, compared to just 9% with standard genetic tests.

Besides the medical impact on treatment strategies I want to share some information about STAT-Seq.

STAT-Seq, which runs on Illumina’s HiSeq 2500, is first of all a research protocol. It is the fastest whole genome test that might take less than 50 hours from test order to delivery of an initial report once it is fully implemented in the lab. STAT-Seq can identify mutations across the genome associated with approximately 5,300 known genetic diseases.

The study showed a significantly improved diagnosis rate for whole genome sequencing versus traditional testing. But it did not show an improvement over what is typically seen in exome sequencing. The latter only examines the parts of DNA that code for proteins, the body’s basic building blocks.

Right now exome sequencing is the more commonly used diagnostic tool because the technology is cheaper and more readily available. Cost effectiveness was not examined in the study, but the costs of genome sequencing are falling rapidly. Currently, the best available cost runs around €3,500 ($4,000), but many genomic researchers say it could drop down to €1,500 ($1,700) until the end of this year.

Whole genome testing could become a more useful tool than exome sequencing in the long run because it provides more complete information. Genes account for less than 25% of the DNA in the genome. The remainder includes areas that control how genes are turned on and off as well as “junk” DNA whose function isn’t fully understood.

Get other aspects of the study in GenomeWeb.