In an effort to make genetic testing more accessible, we’re now offering a Patient Prompt Pay (self-pay) discount of 10% if payment is received in full when we receive the test requisition form (TRF).
We recently released an option for our pre-defined panels to be run on a PGnome® (genome) sequencing backbone. But you may be wondering … what’s a backbone?
Inherited kidney diseases have an overall prevalence of ~6-8 in 10,000 births in the United States and Europe, and accounts for up to 37% of adults with renal diseases (Cocchi et al. 2020. PubMed ID: 32646915; Connaughton et al. 2019. PubMed ID: 30773290; Lata et al. 2018. PubMed ID: 29204651). Obtaining an early diagnosis for kidney disease is important for establishing optimal maintenance and treatment plans for patients and their families, which is why genetic testing has been increasingly integrated into clinical practice.
MARSHFIELD, Wis. –With more than 150,000 genetic tests available, at least 6.9 codes per claim and thousands of medical policies1,2, it’s virtually impossible for providers and payers to keep up with the complex and ever-changing world of genetic testing. Today, PreventionGenetics joins Concert Genetics’ Preferred Laboratory Network, which brings health plans and preferred laboratories together to ensure that the quality, pricing and service information needed for decision-making is at the forefront and eases the administrative burden involved in insurance claims processing for genetic testing.
Marshfield, WI - PreventionGenetics is excited to announce the availability of their new whole genome sequencing (WGS) test, PGnome®. Prices start at only $2,490 for testing of a single patient. WGS is the ultimate germline DNA test. It is superior to exome and other genetic tests because it covers the entire genome, including deep intronic regions. WGS yields better detection of structural variants (deletions, duplications, inversion and translocations of DNA sequence) and improved analysis of tandem repeats and paralogous regions. Furthermore, WGS is essential for assessing disease risk and prevention using polygenic risk algorithms.
