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Improving risk assessment in consanguineous couples by means of SNP analysis

Improving risk assessment in consanguineous couples by means of SNP analysis - risk assessment in consanguineous couples by means of SNP analysis

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
NL-OMON
Registry ID
NL-OMON32549
Enrollment
150
Registered
2008-10-28
Start date
2009-05-11
Completion date
Unknown
Last updated
2024-12-02

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

autosomal recessive disorders

Interventions

None listed

Sponsors

Vrije Universiteit Medisch Centrum
Lead Sponsor

Eligibility

Age
2 Years to 99 Years

Inclusion criteria

Inclusion criteria: Cases : -are defined as consanguineous parents of a child that is affected by an autosomal recessive disorder -This autosomal recessive disorder has not occurred in the family before. Controls : -are defined as consanguineous parents without (previous) affected children and with at least three healthy children. In our study we restrict ourselves to couples with an inbreeding coefficient (F) of at least F= 1/128. This inbreeding coefficient must be clear from the family tree that include ALL third-degree family members (including great grandparents) of the couple, to make sure equally reliable and sufficient information is obtained in all pedigrees. ;Cohort: Consanguineous couples with a desire to have children. There are no previous cases of autosomal recessive disorders in the family.

Exclusion criteria

Exclusion criteria: - the nature of the disorder of the affected child is not clear - the disease has occurred in the family before - the inbreeding coefficient is less than 1/128

Design outcomes

Primary

MeasureTime frame
For every individual a genotype is formed by using the SNP's. With this information for all couples the inbreeding coefficient is estimated. The estimates of inbreeding coefficient will be used as an outcome variable in the case-controle study. The expected outcome of these analyses is that the actual degree of relatedness (i.e. estimated from genotype data) of the cases is highger than the degree of relatedness of the controls. For our cohort design a logistic regression analysis will be performed with the inbreeding coefficient as independent variable. With this information an odds-ratio can be estimated for the relationship between the inbreeding coefficient and the risk of having a child with an autosomal recessive disorder.

Countries

Netherlands

Outcome results

None listed

Source: NL-OMON (via WHO ICTRP)