Hoffmann, E. R. | bioRxiv Science

bioRxiv2018

SureTypeSC - A Random Forest and Gaussian Mixture predictor of high confidence genotypes in single cell data

MotivationAccurate genotyping of DNA from a single cell is required for applications such as de novo mutation detection, linkage analysis and lineage tracing. However, achieving high precision genotyping in the single cell environment is challenging due to the errors caused by whole genome amplification. Two factors make genotyping from single cells using single nucleotide polymorphism (SNP) arrays challenging. The lack of a comprehensive single cell dataset with a reference genotype and the absence of genotyping tools specifically designed to detect noise from the whole genome amplification step. Algorithms designed for bulk DNA genotyping cause significant data loss when used for single cell applications.\n\nResultsIn this study, we have created a resource of 28.7 million SNPs, typed at high confidence from whole genome amplified DNA from single cells using the Illumina SNP bead array technology. The resource is generated from 104 single cells from two cell lines that are available from the Coriell repository. We used mother-father-proband (trio) information from multiple technical replicates of bulk DNA to establish a high quality reference genotype for the two cell lines on the SNP array. This enabled us to develop SureTypeSC - a two-stage machine learning algorithm that filters a substantial part of the noise, thereby retaining the majority of the high quality SNPs. SureTypeSC also provides a simple statistical output to show the confidence of a particular single cell genotype using Bayesian statistics.\n\nContacteva@sund.ku.dk

bioinformatics↗

bioRxiv2017

Tripolar mitosis drives the association between maternal genotypes of PLK4 and aneuploidy in human preimplantation embryos

Aneuploidy is prevalent in human preimplantation embryos and is the leading cause of pregnancy loss. Many aneuploidies arise during oogenesis, increasing in frequency with maternal age. Superimposed on these meiotic aneuploidies are a range of errors occurring during early mitotic divisions of the embryo, contributing to widespread chromosomal mosaicism. Here we reanalyzed a published dataset comprising preimplantation genetic testing for aneuploidy in 24,653 blastomere biopsies from day-3 cleavage-stage embryos, as well as 17,051 trophectoderm biopsies from day-5 blastocysts. We focused on complex abnormalities that affected multiple chromosomes simultaneously, seeking to quantify their incidences and gain insight into their mechanisms of formation. In addition to well-described patterns such as triploidy and haploidy, we identified 4.7% of day-3 blastomeres possessing karyotypes suggestive of tripolar mitosis in normally-fertilized diploid zygotes or descendant diploid cells. We further supported this hypothesis using time-lapse data from an intersecting set of 77 cleavage-stage embryos. The diploid tripolar signature was rare among day-5 blastocyst biopsies (0.5%), suggesting that complex aneuploidy generated by tripolar mitosis impairs cellular and/or early embryonic survival. Strikingly, we found that the tripolar mitosis mechanism is responsible for the previously described association with common maternal genetic variants spanning PLK4. Our findings are consistent with the role of PLK4 as the master regulator of centriole duplication with a known capacity to induce tripolar mitosis when mutated or mis-expressed. Taken together, we propose that tripolar mitosis is a key mechanism generating karyotype-wide aneuploidy in cleavage-stage embryos and implicate PLK4-mediated centrosome abnormality as a factor influencing its occurrence.

genetics↗