Select the donor most compatible

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GENES4LIFE

Genes4Life is a genetic test for people who wants to become pregnant. The Genes4Life panel consists of 430 genes associated with more than 400 hereditary diseases. All the recessive diseases covered by Genes4Life are combined present in 1 out of 100 live births. Additionally, many recessive genes associated with infertility are included.

 

As the diseases are recessive and carrying one or more of the disease-causing alleles is not unusual, the Genes4Life test is best used to screen for partner compatibility. By screening both parents, the test can ensure that no two copies of the same disease-causing gene are present. This is especially useful for parents when selecting donors for fertility treatment. For partners that seek fertility treatment without donors, we recommend the Genes2Life test, as it only screens for diseases that are treatable.

The Genes4Life panel includes both the Genes2Life and X-Linked Carrier test genes as well as many others. The panel is regularly updated according to the newest recommendations and knowledge obtained in the field of genetic diseases.

TYPES OF GENETIC DISEASES WE INVESTIGATE WITH GENES4LIFE:

Provide knowledge about 430 genes related to rare diseases due to recessive inheritance. We study more than 100 high-prevalence diseases and more than 400 low-prevalence diseases.

 

Prevalence in medicine is a measure of the total number of people in a specific group who have (or had) a certain disease, condition, or risk factor at a specific point in time or during a given period. Reference: https://www.medicinenet.com/prevalence/definition.htm


LOW PREVALENCE

Genetic diseases: Juvenile amyotrophic lateral sclerosis.
Statistics: the prevalence and incidence of JALS are not known. A small number of cases have been reported to date. The disorder has been described in various ethnic groups.

Genetic diseases: Bloom syndrome.
Statistics: Bloom syndrome (BSYN) overall prevalence is unknown. Ashkenazi Jewish population is estimated at approximately 1/48000 births.

Genetic diseases: Triple-A syndrome.
Statistics: Prevalence is unknown but less than 100 cases have been published since the first description in 1978.


Reference: https://www.orpha.net/consor/cgi-bin/index.php?lng=EN



HIGH PREVALENCE

Genetic diseases: Spinal muscular atrophy.
Statistics: 1 in 6000-10000 children are born with the disease.
In the United Kingdom, approx. 2000-2500 children and adults with SMA.

Genetic diseases: Cystic fibrosis
Statistics: Approx. 1 in 30 people is a healthy carrier of cystic fibrosis without knowing it.  In Denmark, 1-2 children are born with cystic fibrosis every month. This represents approx.150000 people in Denmark.

Genetic diseases: Lysosomal diseases such as Tay-Sachs, Sandhoffs, Niemann, Gauchers, Mannosidose, Fukosidose, Sialidose, Hurlers, Hunter, Sanfilippos, Morquios, I-cell, Cystinose, Sallas, Wolmans.
Statistics: Approx. 70 different lysosomal diseases. Each of these is very rare, but as a group, they affect about 1 in 5000-8000 newborns. Every year, about 10 children are born with one of these diagnoses in Denmark. 

GENES4LIFE

TEST TYPE:
RANGE: 
CARRIER PROBABILITY:
DISEASES INVESTIGATED:
RESPONSE TIME: 

NGS extended, includes Genes2Life

430 genes

2 in 100 couples at risk

+ 400 diseases

25 workdays

Genetic testing plays an essential role in fertility treatments. One of the reasons why fertility treatments may fail is the presence of genetic mutations that can lead to repeat abortions and unsuccessful treatments. 78 out of 100 cases analyzed in Amplexa with GENES4LIFE were approved for donation. In 78 of 100 cases studied with GENES4LIFE, 430 genes related to rare diseases of recessive inheritance were diagnosed, and no mutations were found. Both patient and donor are compatible.


WE RECOMMEND THIS TEST:

  • For couples trying to get pregnant.
  • Before starting an assisted fertilization treatment.
  • Before starting treatment with donor eggs or sperm. Both patient and donor can be healthy carriers of diseases with a genetic mutation in the same gene.

HOW TO DO IT?





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