Key result
Automated FBN1 sequencing detects mutations in ~76% of suspected Marfan patients while halving manual protocol time.
Why the study?
Does automated sample preparation and direct sequencing improve efficiency and maintain sensitivity for FBN1 mutation detection in patients with suspected Marfan syndrome?
Cross-Sectional (n=105)
Does automated sample preparation and direct sequencing improve efficiency and maintain sensitivity for FBN1 mutation detection in patients with suspected Marfan syndrome?
Answers are grounded in this paper and cite their sources.
Automated direct sequencing using robotic systems is an efficient and sensitive primary strategy for diagnostic FBN1 mutation identification in suspected Marfan syndrome.
Mutations in the fibrillin-1 (FBN1) gene cause Marfan syndrome (MFS) and the other type-1 fibrillinopathies. Finding these mutations is a major challenge considering that the FBN1 gene has a coding region of 8,600 base pairs divided into 65 exons. Most of the more than 600 known mutations have been identified using a mutation scanning method prior to sequencing of fragments with a suspected mutation. However, it is not obvious that these screening methods are ideal, considering cost, efficiency, and sensitivity. We have sequenced the entire FBN1 coding sequence and flanking intronic sequences in samples from 105 patients with suspected MFS, taking advantage of robotic devices, which reduce the cost of supplies and the quantity of manual work. In addition, automation avoids many tedious steps, thus reducing the opportunity for human error. Automated assembling of PCR, purification of PCR products, and assembly of sequencing reactions resulted in completion of the FBN1 sequence in half of the time needed for the manual protocol. Mutations were identified in 69 individuals. The mutation detection rate (76%), types, and genetic distribution of mutations resemble the findings in other MFS populations. We conclude that automated sequencing using the robotic systems is well suited as a primary strategy for diagnostic mutation identification in FBN1.
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Tjeldhorn et al. (2006) conducted a cross-sectional in Suspected Marfan syndrome (n=105). Automated sample preparation and direct sequencing vs. Manual protocol was evaluated on Mutation detection rate. Automated direct sequencing of the FBN1 gene identified mutations in 76% (69 of 105) of patients with suspected Marfan syndrome, completing the sequence in half the time of the manual protocol.
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