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Genetic Solutions > PGT-A

PGT-A Preimplantation Genetic Testing for Aneuploidies

Improves the chances of reproductive success by selecting chromosomally normal embryos

  • Technical Overview
  • Documentation
  • Scientific evidence
  • I’m not a health specialist

+120,000 embryos
analyzed/year

Supporting over
12,000 IVF cycles/year

98% accuracy

Superior reviews from
independent studies

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Overview
  • PGT-A
  • Benefits
  • Indications

What is PGT-A test?

PGT-A (formerly PGS) is a genetic test performed on embryos to identify numerical chromosomal abnormalities (aneuploidy).

Our PGT-A uses Next-Generation Sequencing (NGS), which allows us to analyze all 24 chromosomes. Chromosomal abnormalities are detected prior to embryo transfer to enable informed decisions and increase pregnancy success.

What is the procedure?

Why use PGT-A?

  • Increases pregnancy rates per transfer:
    Selecting normal embryos can increase the pregnancy chances after transfer
  • Reduction in miscarriage rate:
    In the general population, 25% of all clinical pregnancies end in miscarriage, the vast majority of which are due to aneuploidy
  • Increase in the likelihood of having a healthy baby:
    Some pregnancies with chromosomal anomalies can give rise to the birth of baby with a serious illness
  • Reduction in time and necessary resources:
    The time and resources necessary to achieve a pregnancy are reduced
  • Reduces risk of multiple pregnancy:
    A SET significantly reduces the likelihood of a twin pregnancy

Why Igenomix PGT-A?

Independent studies have compared PGT-A from Igenomix and other labs and the highlights include:

Igenomix Mitoscore

MitoScore is a mitochondrial biomarker developed by Igenomix, which gives us an indicator of the energy status of an embryo.

MitoScore allows us to select those embryos with the greatest probabilities for implantation that are more likely to result in a viable pregnancy through IVF/ PGT-A.*

*(Diez-Juan et al. 2015)

The clinical translation of this work is the integration of the mtDNA copy number (MitoScore) with the routine genetic analysis performed in the PGT-A process.

Who should use PGT-A?

  • PGT-A is particularly important for patients over 35, as aneuploidy rate increases with maternal age from approximately 52% at maternal age under 35, to approximately 80%, at age 42 (source:xxx).
  • PGT-A also can greatly reduce the likelihood of a patient having a multiple-gestation pregnancy by choosing a Single Embryo Transfer (SET).

Test limitations

PGT-A does not test for:

Birth defects
Inherited single gene disorders, such as cystic fibrosis or Tay-Sachs disease
Multifactorial conditions, including autism
Adult-onset conditions such as diabetes or Alzheimer´s disease
Physical and mental traits, such as intelligence or athleticism
Microdeletions/microduplications

As with most tests, PGT-A has some limitations:

1. Accuracy is ~98%

  • False positive: There is a small chance an embryo could be excluded unnecessarily
  • False negative: There is a small chance that an embryo diagnosed as normal could still be chromosomally abnormal

2. PGT-A tests only the samples produced by embryo biopsy, not whole embryos

3. PGT-A does not detect structural abnormalities that do not involve gains or losses of genetic material. Additionally, the following cannot be detected:

  • Chromosome losses/gains bellow 10Mb,
  • Low level of mosaicism (<30%)
  • Uniparental disomy (UDP)
  • Defects affecting the complete set of chromosomes (haploidy, triploidy)

Follow-up prenatal testing is recommended to confirm the results of PGT-A.

There is a chance of unforeseeable problems with transportation, such as weather and air travel issues, or other circumstances beyond the control of Igenomix that may delay the reporting of results.

In a small percentage of cases, genetic testing cannot be performed due to improper biopsy techniques, loss of biopsied cells, or poor DNA quality.

Documentation
  • PGT-A Specialists’ documents

Technical Sheets

Download

Brochure

Download

Mitoscore

Download
Scientific evidence
  • Igenomix
  • External

Rubio et al: In vitro fertilization with preimplantation genetic diagnosis for aneuploidies in advanced maternal age: a randomized, controlled study. Fertil Steril. 2017 May;107(5):1122-1129. 

Yang Z, Liu J, Collins GS, Salem SA, Liu X, Lyle SS, et al. Selection of single blastocysts for fresh transfer via standard morphology assessment alone and with array CGH for good prognosis IVF patients: results from a randomized pilot study. Mol Cytogenet 2012 May 2; 5(1):24.  

Coates A, Kung A, Mounts E, Hesla J, Bankowski B, Barbieri E, Ata B, Cohen J, Munné S. Optimal euploid embryo transfer strategy, fresh versus frozen, after Preimplantation Genetic Testing for Aneuploidies with next generation sequencing: a randomized controlled trial.  Fertil Steril. 2017 Mar;107(3):723-730.e3.   

Coates A, Bankowski BJ, Kung A, Griffin DK, Munne S. Differences in pregnancy outcomes in donor egg frozen embryo transfer (FET) cycles following Preimplantation Genetic Testing for Aneuploidies (PGT-A): a single center retrospective study. J Assist Reprod Genet. 2017 Jan;34(1):71-78.    

Sanchez-Ribas et al., Transcriptomic behavior of genes associated with chromo some 21 aneuploidies in early embryo development. Fertility and Sterility, 2019; 111, 5:991-1001. 

Goldwaser, Tamar et al. Cell-free DNA for the detection of fetal aneuploidy. Fertility and Sterility, 2018; 109, 2, 195 – 200. 

Kuznyetsov V, Madjunkova S, Antes R, Abramov R, Motamedi G, Ibarrientos Z, et al.  Evaluation of a novel non-invasive preimplantation genetic screening approach. PLoS ONE; 2018; 13(5): e0197262. 

Munné S, Status of preimplantation genetic testing and embryo selection. RBMO. 2018; 37(4):393-396. 

Levy et al., Prenatal diagnosis by chromosomal microarray analysis. Fertility and Sterility, 2017; 109, 2, 201–212.  

Ottolini C. et al., Scientific Reports. Tripolar mitosis and partitioning of the genome arrests human preimplantation development in vitro, 2017;7:9744. 

Ottolini C. et al., Scientific Reports. Tripolar mitosis and partitioning of the genome arrests human preimplantation development in vitro, 2017;7:9744. 

Munné, Santiago et al. Mosaicism: “survival of the fittest” versus “no embryo left behind”. Fertility and Sterility, 2016; 105, 5, 1146 – 1149. 

Bolton et al., Mouse model of chromosome mosaicism reveals lineage-specific depletion of aneuploid cells and normal developmental potential. Nature Communications, 2016; 29;7:11165. 

Cimadomo D. et al, The Impact of Biopsy on Human Embryo Developmental Potential during Preimplantation Genetic Diagnosis. Hindawi, 2016, 7193075. 

Scott RT, Galliano D., The challenge of embryonic mosaicism in preimplantation genetic screening. Fertility and Sterility, 2016; 105, 5. 

McCoy RC, Demko ZP, Ryan A, Banjevic M, Hill M, Sigurjonsson S, et al.  Evidence of Selection against Complex Mitotic-Origin Aneuploidy during Preimplantation Development. PLoS Genet, 2015; 11 (10): e1005601.  

Kung A. et al., Validation of next-generation sequencing for comprehensive chromosome screening of embryos. Reproductive BioMedicine, 2015; 1472-6483. 

Greco E, Minasi MG, Fiorentino F. Healthy Babies after Intrauterine Transfer of Mosaic Aneuploid Blastocysts, N Engl J Med, 2015; Nov 19;373(21):2089-90.  

Yang Z et al., Selection of single blastocysts for fresh transfer via standard morphology assessment alone and with array CGH for good prognosis IVF patients: results from a randomized pilot study., 2012, 5:24. 

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We work to make a world in which infertility is no longer an impossible barrier. Together with clinics and fertility specialists worldwide, we investigate human reproduction to change the lives of those who are trying to conceive.

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