Nur Asherah Asteroth A.

Ms. Nur Asherah Asteroth A.

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Research Focus & Metrics

Academic Career Length

2Years (2025-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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Verified
Journal Article
Open access
PDF file
VTVivienne J Tan
Vivienne J Tan
YLYing Liang
Ying Liang
ATArnold S. C. Tan
Arnold S. C. Tan
SWSimin Wong
Simin Wong
NANur Asherah Asteroth A.
Nur Asherah Asteroth A.
SCSamuel Chong
Samuel Chong
Combined preimplantation genetic testing of aneuploidy (PGT-A) and monogenic disease (PGT-M) can be achieved through PCR-based whole genome amplification (WGA) and next-generation sequencing (NGS). However, pathogenic variant detection is usually achieved indirectly through single nucleotide polymorphism haplotyping, as direct detection of pathogenic variants is not always possible. We evaluated whether isothermal WGA was suitable for combined PGT-A and PGT-M that also permitted direct detection of repeat expansions and large deletions, in addition to indirect linkage analysis using microsatellite markers. Five-cell replicates from selected cell lines were subjected to isothermal or PCR-based WGA, followed by NGS-based PGT-A and direct and indirect PGT-M of Huntington’s disease and spinal muscular atrophy. Both WGA methods accurately detected aneuploidy and large (10 Mb) segmental imbalances. However, isothermal WGA produced higher genotyping accuracy compared with PCR-based WGA for all analysed microsatellite markers (93.5% vs. 75.6%), as well as at the HTT CAG repeat locus (100% vs. 7.7%) and the SMN1/2 locus (100% vs. 71.8%). These results demonstrate that isothermal WGA is potentially ideal for combined PGT-A and PGT-M that permits both direct and indirect detection of pathogenic variants including repeat expansions and gene deletions.

Verified
Journal Article
Open access
PDF file
NANur Asherah Asteroth A.
Nur Asherah Asteroth A.
MLMulias Lian
Mulias Lian
ATArnold S. C. Tan
Arnold S. C. Tan
RTRiho Taguchi
Riho Taguchi
PCPeng Yian Chua
Peng Yian Chua
SCSamuel Chong
Samuel Chong
Spinocerebellar ataxia type 2 (SCA2) is an autosomal dominant neurodegenerative disorder caused by a pathogenic CAG trinucleotide repeat expansion in the ATXN2 gene. At-risk couples can embark on unaffected pregnancies through preimplantation genetic testing of monogenic disorders (PGT-M) of SCA2, which should involve accurate repeat expansion detection together with risk haplotype tracking using informative linked markers. Two couples underwent SCA2 PGT-M involving analysis of whole genome amplified embryonic trophectoderm cells by ATXN2 (CAG)n triplet-primed PCR (TP-PCR) and linkage-based risk allele genotyping using customized markers. To simplify and expedite the identification of informative markers for future PGT-M cases, putative microsatellite markers closely linked to ATXN2 were initially screened for polymorphism using a small set of anonymous DNA samples obtained from Coriell Cell Repository. Shortlisted markers with high polymorphism likelihood were then multiplexed in a single-tube reaction and genotyped on 190 anonymous DNA samples to determine their polymorphic information content. Across both SCA2 PGT-M clinical cases, the linked marker genotypes corroborated the TP-PCR results, allowing clear differentiation between unaffected and affected embryos. In both cases, transfer of an unaffected embryo led to a successful pregnancy and live birth of a healthy baby. In silico mining, filtering, and curation identified 287 microsatellites located within 1.65 Mb of either side of the ATXN2 CAG repeat. Of these, eight upstream and nine downstream polymorphic markers were successfully co-amplified in a single-tube assay and demonstrated high overall heterozygosity in both Chinese and Caucasian populations. Conclusion: To ensure high diagnostic accuracy for PGT-M of SCA2, we developed a heptadecaplex microsatellite marker panel for haplotype-based linkage analysis to complement TP-PCR-based direct detection of the ATXN2 CAG repeat. The panel can rapidly identify informative markers from virtually any couple, and it works equally well on MDA-amplified DNAs for embryonic haplotype analysis.