Chromatin folding contributes to the regulation of genomic processes such as gene activity. Existing conformation capture methods characterize genome topology through analysis of pairwise chromatin contacts in populations of cells but cannot discern whether individual interactions occur simultaneously or competitively. Here we present multi-contact 4C (MC-4C), which applies Nanopore sequencing to study multi-way DNA conformations of individual alleles. MC-4C distinguishes cooperative from random and competing interactions and identifies previously missed structures in subpopulations of cells. We show that individual elements of the β-globin superenhancer can aggregate into an enhancer hub that can simultaneously accommodate two genes. Neighboring chromatin domain loops can form rosette-like structures through collision of their CTCF-bound anchors, as seen most prominently in cells lacking the cohesin-unloading factor WAPL. Here, massive collision of CTCF-anchored chromatin loops is believed to reflect ‘cohesin traffic jams’. Single-allele topology studies thus help us understand the mechanisms underlying genome folding and functioning.

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In clinical genetics, detection of single nucleotide polymorphisms (SNVs) as well as copy number variations (CNVs) is essential for patient genotyping. Obtaining both CNV and SNV information from WES data would significantly simplify clinical workflow. Unfortunately, the sequence reads obtained with WES vary between samples, complicating accurate CNV detection with WES. To avoid being dependent on other samples, we developed a within-sample comparison approach (WISExome). For every (WES) target region on the genome, we identified a set of reference target regions elsewhere on the genome with similar read frequency behavior. For a new sample, aberrations are detected by comparing the read frequency of a target region with the distribution of read frequencies in the reference set. WISExome correctly identifies known pathogenic CNVs (range 4 Kb–5.2 Mb). Moreover, WISExome prioritizes pathogenic CNVs by sorting them on quality and annotations of overlapping genes in OMIM. When comparing WISExome to four existing CNV detection tools, we found that CoNIFER detects much fewer CNVs and XHMM breaks calls made by other tools into smaller calls (fragmentation). CODEX and CLAMMS seem to perform more similar to WISExome. CODEX finds all known pathogenic CNVs, but detects much more calls than all other methods. CLAMMS and WISExome agree the most. CLAMMS does, however, miss one of the known CNVs and shows slightly more fragmentation. Taken together, WISExome is a promising tool for genome diagnostics laboratories as the workflow can be solely based on WES data.@en

Objective: To compare available analysis methods for determining fetal fraction on single read next generation sequencing data. This is important as the performance of non-invasive prenatal testing (NIPT) procedures depends on the fraction of fetal DNA. Methods: We tested six different methods for the detection of fetal fraction in NIPT samples. The same clinically obtained data were used for all methods, allowing us to assess the effect of fetal fraction on the test result, and to investigate the use of fetal fraction for quality control. Results: We show that non-NIPT methods based on body mass index (BMI) and gestational age are unreliable predictors of fetal fraction, male pregnancy specific methods based on read counts on the Y chromosome perform consistently and the fetal sex-independent new methods SeqFF and SANEFALCON are less reliable but can be used to obtain a basic indication of fetal fraction in case of a female fetus. Conclusion: We recommend the use of a combination of methods to prevent the issue of reports on samples with insufficient fetal DNA; SANEFALCON to check for presence of fetal DNA, SeqFF for estimating the fetal fraction for a female pregnancy and any Y-based method for estimating the fetal fraction for a male pregnancy.

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Objective While large fetal copy number aberrations can generally be detected through sequencing of DNA in maternal blood, the reliability of tests depends on the fraction of DNA that originates from the fetus. Existing methods to determine this fetal fraction require additional work or are limited to male fetuses. We aimed to create a sex-independent approach without additional work. Methods DNA fragments used for noninvasive prenatal testing are cut only by natural processes; thus, influences on cutting by the packaging of DNA in nucleosomes will be preserved in sequencing. As cuts are expected to be made preferentially in linker regions, the shorter fetal fragments should be enriched for reads starting in nucleosome covered positions. Results We generated genome-wide nucleosome profiles based on single end sequencing of cell-free DNA. We found a difference between DNA digestion of fetal cell-free DNA and maternal cell-free DNA and used this to calculate the fraction of fetal DNA in maternal plasma for both male and female fetuses. Conclusion Our method facilitates cost-effective noninvasive prenatal testing, as the fetal DNA fraction can be estimated without the need for expensive paired-end sequencing or additional tests. The methodology is implemented as a tool, which we called SANEFALCON (Single reAds Nucleosome-basEd FetAL fraCtiON). It is available for academic and non-profit purposes under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International Public License. github.com/rstraver/sanefalcon. © 2016 The Authors. Prenatal Diagnosis published by John Wiley & Sons, Ltd.@en