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Jobanputra, V.

Publications and source records attributed to Jobanputra, V..

2 recordsLinked to original sources

Maternal age and genome-wide failure of meiotic recombination are associated with triploid conceptions in humans

Triploid and haploid conceptions are not viable and are a common occurrence in humans, where they account for 10% of all pregnancy losses. Despite the parent-of-origin being important in the etiology of the pregnancy, our knowledge of their causes is limited, especially at the point of conception. Using a dataset of 96,660 biopsies and a validation dataset of 44,324 from human blastocysts embryos generated by intra-cytoplasmic sperm injection (ICSI), we estimate that 1.1% of human conceptions (n=1,063) contain extra or missing chromosome sets in zygotes. We identify a maternal age effect, with a 1.059 per year increased risk in triploidy/haploidy (p=0.0008). In 0.03% of couples, we identified three or more triploid/haploid embryos, suggesting a personal risk effect (p=0.03). Genotype analysis of 55 triploid embryo biopsies and their parents show that one third of maternal triploid conceptions originate in meiosis I and two thirds in meiosis II. Seven of these embryos are inferred to have entirely failed to initiate meiotic recombination genome-wide, suggesting that human oocytes with pervasive meiotic recombination failure that are formed during fetal development are capable of ovulation in adult life. Finally, we identify a new type of genome-wide maternal isodiploidy (two maternal chromosome sets) in 0.05% of embryos (41 of 74,009). Collectively, our findings shed light on the biology of meiosis and the formation of human oocytes with the number of chromosome sets.

genetics↗

Deep sequencing of 3 cancer cell lines on 2 sequencing platforms

To test the performance of a new sequencing platform, develop an updated somatic calling pipeline and establish a reference for future benchmarking experiments, we sequenced 3 common cancer cell lines along with their matched normal cell lines to great sequencing depths (up to 278X coverage) on both Illumina HiSeqX and NovaSeq sequencing instruments. Somatic calling was generally consistent between the two platforms despite minor differences at the read level. We designed and implemented a novel pipeline for the analysis of tumor-normal samples, using multiple variant callers. We show that coupled with a high-confidence filtering strategy, it improves the accuracy of somatic calls. We also demonstrate the utility of the dataset by creating an artificial purity ladder to evaluate the somatic pipeline and benchmark methods for estimating purity and ploidy from tumor-normal pairs. The data and results of the pipeline are made accessible to the cancer genomics community.

genomics↗