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Biology subjects

Heissl, A.

Publications and source records attributed to Heissl, A..

3 recordsLinked to original sources

Discovery of an unusual high number of de novo mutations in sperm of older men using duplex sequencing

De novo mutations (DNMs) are an important player in heritable diseases and evolution. Of particular interest are highly recurrent DNMs associated with congenital disorders that have been described as selfish mutations expanding in the male germline, thus becoming more frequent with age. Here, we have adapted duplex sequencing (DS), an ultra-deep sequencing method that renders sequence information on both DNA strands; thus, one mutation can be reliably called in millions of sequenced bases. With DS, we examined [~]4.5 kb of the FGFR3 coding region in sperm DNA from older and younger donors. We identified sites with variant frequencies of 10-4 to 10-5, with an overall mutation frequency of the region of [~]6x10-7. Some of the substitutions were re-current and were found at a higher variant frequency in older donors than in younger ones, or exclusively, in older donors. Also, older donors harbored more mutations associated with congenital disorders. Other mutations were present in both age groups suggesting that these might result from a different mechanism (e.g., post-zygotic mosaicism). We also observed that independent of age, the frequency and deleteriousness of the mutational spectra was more similar to COSMIC than to gnomAD variants. Our approach is an important strategy to identify mutations that could be associated with a gain-of-function of the receptor tyrosine kinase activity, with unexplored consequences in a society with delayed fatherhood.

genetics↗

Length asymmetry and heterozygosity strongly influences the evolution of poly-A microsatellites at meiotic recombination hotspots

Meiotic recombination has strong, but poorly understood, effects on short tandem repeat (STR) instability. Here, we screened thousands of single recombinant products to characterize the transmission and evolution of polymorphic poly-A repeats at a human recombination hotspot. We show that length asymmetry between heterozygous poly-As plays a key role in the recombination outcome and their transmission. A difference of 10 As (9A/19A) elevates the frequency of non-crossovers, complex recombination products, and long conversion tracts. Moreover, asymmetry also influences STR transmission: the shorter allele is transmitted more frequently (deletion bias) at the asymmetric STR (9A/19A), while the longer allele is favored (insertion bias) at the site with a small STR length difference (6A/7A). Finally, potentially due to this opposing insertion/deletion driven evolution, we find that poly-As are enriched at human recombination hotspots predominantly with short poly-As, possibly influencing open chromatin regions that in turn can activate hotspots.

evolutionary biology↗

LDJump: Estimating Variable Recombination Rates from Population Genetic Data

As recombination plays an important role in evolution, its estimation, as well as, the identification of hotspot positions is of considerable interest. We propose a novel approach for estimating historical recombination along a chromosome that involves a sequential multiscale change point estimator. Our method also permits to take demography into account. It uses a composite likelihood estimate and other summary statistics within a regression model fitted on suitable scenarios. Our proposed method is accurate, computationally fast, and provides a parsimonious solution by ensuring a type I error control against too many changes in the recombination rate. An application to human genome data suggests a good congruence between our estimated and experimentally identified hotspots. Our method is implemented in the R-package LDJump, which is freely available from https://github.com/PhHermann/LDJump.

bioinformatics↗