Preprint · not peer-reviewed Researchers Educators

Preprint identifies genomic regions with excess reciprocal recombination in autism spectrum disorder families

Using family-based study designs including the Simons Simplex Collection, researchers have developed statistical methods to detect genomic regions where elevated reciprocal meiotic recombination may generate deleterious de novo haplotypes contributing to autism spectrum disorder.

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A preprint posted on bioRxiv describes new statistical methods for detecting genomic regions enriched for reciprocal recombination in the context of autism spectrum disorder (ASD), with application to two family-based datasets including the Simons Simplex Collection.

The biological rationale rests on a recognised feature of meiotic recombination: in some genomic regions, recombination rates are very low and variants remain in high linkage disequilibrium over long timescales. The authors propose that co-adapted haplotypes can accumulate in such regions, and that reciprocal recombination events separating these co-adapted variants may generate novel, deleterious haplotype combinations. This represents a distinct mechanism from the better-characterised de novo single-nucleotide variants and copy-number variants typically sought in ASD genetic studies.

The study develops two complementary statistical approaches tailored to different family-based study designs and applies them to identify candidate regions in ASD. The work is methodological as well as empirical, offering tools that could be applied to other neurodevelopmental and complex trait datasets.

As a preprint, the findings have not yet undergone peer review and should be treated as preliminary. The study is likely to be of primary interest to researchers in statistical genetics, neurodevelopmental genomics, and those working on the genetic architecture of ASD beyond conventional variant discovery.

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  1. Primary sourcePreprint bioRxiv · 2026-05-27
    Detecting genomic regions enriched for reciprocal recombination in autism spectrum disorder

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autism-spectrum-disorder meiotic-recombination linkage-disequilibrium de-novo-haplotype statistical-genetics simons-simplex-collection neurodevelopmental-genomics
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Genetic Current is the news section of Evagene, an academic, research, and educational pedigree-modelling platform. Stories are AI-drafted summaries of items from trusted public sources, written for researchers, clinicians, educators, students, genealogists, and patients with an interest in genetics. Summaries are for educational and research purposes only and are not medical advice.

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