Synthetic cfDNA for Monogenic Disorder Screening: 51 Single-Gene Conditions

Synthetic cfDNA for Monogenic Disorder Screening: 51 Single-Gene Conditions

The next frontier in prenatal screening isn't chromosomes - it's single genes. As sequencing costs drop and analytical methods improve, NIPT is expanding into monogenic disorders: conditions caused by mutations in individual genes rather than whole chromosome abnormalities.

At Eabha Genomics, we generate synthetic cfDNA for 51 monogenic disorders, covering the conditions most relevant for prenatal screening - from common carrier conditions to rare de novo mutations.

The Monogenic Opportunity

Traditional NIPT detects aneuploidy by counting reads. Detecting a single nucleotide variant in cfDNA requires finding the needle in a haystack of fragmented DNA, where fetal DNA is mixed with maternal at ratios as low as 4%.

Companies like Natera, Myriad, and BGI are racing to add monogenic conditions to their panels. But validation is even harder than for aneuploidies - where do you find cfDNA samples with specific point mutations at known fetal fractions?

Conditions We Cover

Skeletal Dysplasias (De Novo Dominant)

ConditionGeneOur VAFPrevalence
AchondroplasiaFGFR3 (G380R)0.0701 in 15,000
Thanatophoric dysplasiaFGFR3 (R248C)0.0701 in 60,000
HypochondroplasiaFGFR3 (N540K)0.0681 in 15,000
Pfeiffer syndromeFGFR1 (R661X)0.0651 in 100,000

These FGFR3 mutations are de novo dominant - arising new in the fetus, detectable even when neither parent carries them. Prime targets for cfDNA screening.

Carrier Screening Conditions

ConditionGeneOur VAFPrevalence
Cystic FibrosisCFTR (F508del)0.0551 in 2,500 (EUR)
Sickle Cell AnemiaHBB (E6V)0.0701 in 500 (AFR)
Spinal Muscular AtrophySMN1log2 -0.151 in 10,000
Tay-Sachs DiseaseHEXA0.1001 in 3,500 (AJ)

RASopathies

ConditionGeneOur VAFPrevalence
Noonan syndromePTPN11 (N308D)0.0751 in 2,500
Costello syndromeHRAS (G13D)0.0721 in 300,000
CFC syndromeBRAF (Q257R)0.0681 in 810,000

Neurodevelopmental

ConditionGeneOur VAFPrevalence
Rett syndromeMECP2 (R168X)0.0851 in 10,000
Dravet syndromeSCN1A (F1846L)0.0701 in 15,000
Neurofibromatosis 1NF1 (R1947X)0.0701 in 3,000
Tuberous sclerosisTSC2 (R1743Q)0.0901 in 6,000

Connective Tissue & Craniofacial

ConditionGeneOur VAFPrevalence
Marfan syndromeFBN1 (C1039Y)0.0651 in 5,000
Osteogenesis imperfectaCOL1A1/COL1A20.0701 in 15,000
Treacher CollinsTCOF1 (K1060X)0.0751 in 50,000
CHARGE syndromeCHD7 (R2178X)0.0801 in 10,000

Treatable Metabolic Conditions

ConditionGeneOur VAFNotes
PhenylketonuriaPAH (R408W)0.070Treatable (diet)
Pompe DiseaseGAA0.065Treatable (ERT)
MCADDACADM (K329E)0.072Treatable (diet)
Biotinidase deficiencyBTD (R538C)0.070Treatable (biotin)

Plus 30+ additional conditions including Duchenne MD, Hemophilia A, storage disorders, and more.

The Technical Challenge

Monogenic detection in cfDNA is hard because:

  1. Single nucleotide signal: Finding one variant among millions of fragments
  2. Low VAF: At 10% fetal fraction, a heterozygous fetal variant is present at 5% VAF
  3. PCR/sequencing errors: Error rates can approach the signal you're trying to detect

Our synthetic samples provide known variants at controlled variant allele frequencies (VAF), with configurable fetal fractions to test detection limits.

Why This Matters

Monogenic cfDNA screening is coming. Labs developing these assays need:

  • Positive controls for rare mutations they'll never see clinically
  • Validation data for regulatory submissions
  • Sensitivity/specificity characterisation at different fetal fractions

Get Started

Our monogenic panel includes 51 conditions. Contact us to discuss your monogenic validation needs, or explore our full conditions database.

Ready to Transform Prenatal Care?

Partner with us for AI-powered prenatal screening or explore our synthetic cfDNA data platform.

Contact Us Book a Demo