Leveraging large family analyses for more accurate de novo mutation detection

De novo mutations (DNMs), which arise in the offspring and are absent in the parents, are increasingly studied in farm animals with the advent of whole-genome sequencing (WGS). Variant calling after genome sequencing is a crucial step in modern genomics, and its accuracy directly influences subsequent genetic analyses, which are vital not only in breeding and human healthcare but also in functional genomic research. Yet, using only families with trios neglects the important shared information in the family and leads to an inaccurate determination of DNMs. Here, we show that using inheritance-based Whole Genome Sequencing (WGS) data analysis on a larger family is an effective way to identify DNMs in offspring accurately, and we present the first such study in rabbits.

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Publication Details

Journal
Biologia Futura
Published
2026-03-14
DOI
https://doi.org/10.1007/s42977-026-00312-7
Primary Topic
Genetic Mapping and Diversity in Plants and Animals
Type
article
Field-Weighted Citation Impact
0.00

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article

Leveraging large family analyses for more accurate de novo mutation detection

Endre Barta, Maher Alnajjar
Biologia Futura
Genetic Mapping and Diversity in Plants and Animals
article

Leveraging large family analyses for more accurate de novo mutation detection

Endre Barta, Maher Alnajjar
article en

Abstract

De novo mutations (DNMs), which arise in the offspring and are absent in the parents, are increasingly studied in farm animals with the advent of whole-genome sequencing (WGS). Variant calling after genome sequencing is a crucial step in modern genomics, and its accuracy directly influences subsequent genetic analyses, which are vital not only in breeding and human healthcare but also in functional genomic research. Yet, using only families with trios neglects the important shared information in the family and leads to an inaccurate determination of DNMs. Here, we show that using inheritance-based Whole Genome Sequencing (WGS) data analysis on a larger family is an effective way to identify DNMs in offspring accurately, and we present the first such study in rabbits.

Biologia Futura
University of Debrecen (HU), Agricultural Biotechnology Institute (HU)
Hungarian Scientific Research Fund, Debreceni Egyetem, Nemzeti Kutatási Fejlesztési és Innovációs Hivatal
Openalex Percentile: Top 23%
Genetic Mapping and Diversity in Plants and Animals
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Leveraging large family analyses for more accurate de novo mutation detection — Endre Barta, Maher Alnajjar · Biologia Futura (2026) | TGRS Research Map | TGRS