Abstract

Whole genome sequencing (WGS) allows the identification of human knockouts (HKOs), individuals in whom loss of function (LoF) variants disrupt both alleles of a given gene. HKOs are a valuable model for understanding the consequences of genes function loss. Naturally occurring biallelic LoF variants tend to be significantly enriched in “genetic isolates,” making these populations specifically suited for HKO studies. In this work, a meticulous WGS data analysis combined with an in-depth phenotypic assessment of 947 individuals from three Italian genetic isolates led to the identification of ten biallelic LoF variants in ten OMIM genes associated with known autosomal recessive diseases. Notably, only a minority of the identified HKOs (C7, F12, and GPR68 genes) displayed the expected phenotype. For most of the genes, instead, (ACADSB, FANCL, GRK1, LGI4, MPO, PGAM2, and RP1L1), the carriers showed none or few of the signs and symptoms typically associated with the related diseases. Of particular interest is a case presenting with a FANCL biallelic LoF variant and a positive diepoxybutane test but lacking a full Fanconi anemia phenotypic spectrum. Identifying KO subjects displaying expected phenotypes suggests that the lack of correct genetic diagnoses may lead to inappropriate and delayed treatment. In contrast, the presence of HKOs with phenotypes deviating from the expected patterns underlines how LoF variants may be responsible for broader phenotypic spectra. Overall, these results highlight the importance of in-depth phenotypical characterization to understand the role of LoF variants and the advantage of studying these variants in genetic isolates.

Highlights

  • One of the best ways to investigate the function of a gene consists in studying the phenotypic consequences of a geneThese authors contributed : Beatrice Spedicati, Massimiliano Cocca

  • A recent whole genome sequencing (WGS) study [12] provided an extensive characterization of these three isolated populations, describing their genetic features focusing on homozygous loss of function (LoF) variants

  • Considering the starting list of 506 LoF variants, only those in genes already known to be associated with autosomal recessive Mendelian disorders were selected (Supplementary Table 1)

Read more

Summary

1234567890();,: 1234567890();,: Introduction

An efficient and cutting-edge approach to study HKOs consists in detecting these subjects in genetic isolates, i.e., populations characterized by few founders, small population size, high rate of inbreeding, and low rate of gene flow [7, 8]. These population characteristics lead to decreased genetic variability and can determine an enrichment in homozygous LoF variants, in genes associated with recessive Mendelian genetic disorders [9]. A recent whole genome sequencing (WGS) study [12] provided an extensive characterization of these three isolated populations, describing their genetic features focusing on homozygous LoF variants. The genetic data described in this manuscript have been submitted to the European Variation Archive and are accessible in Variant Call Format at the following link: https://www.ebi.ac.uk/ena/data/view/PRJEB33648

Ethical statement
Results
Discussion
Compliance with ethical standards
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call