Disentangling archaic introgression and genomic signatures of selection at human immunity genes.

Pathogens and infectious diseases have imposed exceptionally strong selective pressure on ancient and modern human genomes and contributed to the current variation in many genes. There is evidence that modern humans acquired immune variants through interbreeding with ancient hominins, but the impact of such variants on human traits is not fully understood. The main objectives of this research were to infer the genetic signatures of positive selection that may be involved in adaptation to infectious diseases and to investigate the function of Neanderthal alleles identified within a set of 50 Lithuanian genomes. Introgressed regions were identified using the machine learning tool ArchIE. Recent positive selection signatures were analysed using iHS. We detected high-scoring signals of positive selection at innate immunity genes (EMB, PARP8, HLAC, and CDSN) and evaluated their interactions with the structural proteins of pathogens. Interactions with human immunodeficiency virus (HIV) 1 and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were identified. Overall, genomic regions introgressed from Neanderthals were shown to be enriched in genes related to immunity, keratinocyte differentiation, and sensory perception.

Microevolutionary processes analysis in the Lithuanian genome.

Differences in the relative fitness of genomic variants are foundational, without these, neither natural selection nor adaption can exist. This research analyzed two microevolutionary forces, mutations, and positive selection, using whole genome sequencing data from Lithuanians across three generations: newborns (generation I), their parents (generation II), 60 years old Lithuanians, and the root ancestors (generation III). The main objective was to determine the frequency of mutations under selection in modern humans and how allele frequencies change across generations. Our results show that going through all the landscapes of the relative fitness on each chromosome, the general relative fitness background pattern remains the same in analysed generations. However, the tendency of relative fitness to decrease, in general, is noted. We hypothesize that the de novo genome variants or genome variants with a very low frequency that formed in the previous generation did not have time to be as affected by natural selection, thus, in the following generation, the force of natural selection acting on them is greater and their cumulative relative fitness also decreases. The strong natural selection pressure on the genetic regions that encode the NEGR1 and PTPN1/PTNP21 genes were also identified, highlighting the evolution of the Lithuanian population's genome over generations, and possible genomic "deficiencies" for better adaptation.

Inherited and De Novo Variation in Lithuanian Genomes: Introduction to the Analysis of the Generational Shift.

Most genetic variants are rare and specific to the population, highlighting the importance of characterizing local population genetic diversity. Many countries have initiated population-based whole-genome sequencing (WGS) studies. Genomic variation within Lithuanian families are not available in the public databases. Here, we describe initial findings of a high-coverage (an average of 36.27×) whole genome sequencing for 25 trios of the Lithuanian population. Each genome on average carried approximately 4,701,473 (±28,255) variants, where 80.6% (3,787,626) were single nucleotide polymorphisms (SNPs), and the rest 19.4% were indels. An average of 12.45% was novel according to dbSNP (build 150). The WGS structural variation (SV) analysis identified on average 9133 (±85.10) SVs, of which 95.85% were novel. De novo single nucleotide variation (SNV) analysis identified 4417 variants, where 1.1% de novo SNVs were exonic, 43.9% intronic, 51.9% intergenic, and the rest 3.13% in UTR or downstream sequence. Three potential pathogenic de novo variants in the ZSWIM8, CDC42EP1, and RELA genes were identified. Our findings provide useful information on local human population genomic variation, especially for de novo variants, and will be a valuable resource for further genetic studies, and medical implications.

The relative fitness of the de novo variants in general Lithuanian population vs. in individuals with intellectual disability.

The effect of a variant on an organism is always multifaceted and can be considered from multiple perspectives-biochemical, medical, or evolutionary. However, the relationship between the effects of amino acid substitution on protein activity, human health, and an individual's evolutionary fitness is not trivial. We uncover that the general Lithuanian population is characterized by a "mirror reflection" of the de novo variant fitness effect, confirming the theory of neutrality. Meanwhile, in the group of individuals with intellectual disability, compared with the reference exome de novo variants significantly changed the composition of the amino acid. Therefore, it predicts that, both in terms of the number of amino acids and changes in their relative fitness, the structure of the proteins encoded by the studied amino acids undergo significant changes following the de novo variant, leading to possible changes in protein function associated with phenotypic traits. These results suggest that the analysis of relative fitness of exome sequences with de novo variants can predict the future phenotype. Therefore even in those cases, then only a few of all functional prediction analysis tools predict a variant as damaging, the negative relative fitness or even adaptability of the genome variant should be carefully evaluated considering both its direct function and the global background of the possible disease-associated mechanism regardless of the phenotype being studied.

De novo splice site variant of ARID1B associated with pathogenesis of Coffin-Siris syndrome.

BACKGROUND: Coffin-Siris syndrome is an extremely rare syndrome associated with developmental and congenital anomalies. It is caused by heterozygous pathogenic variants of ARID1A, ARID1B, SMARCA4, SMARCB1, SMARCE1, and SOX11. METHODS: This case study presents the whole exome sequencing of a patient with characteristic clinical features of Coffin-Siris syndrome. Analysis included Sanger sequencing of complementary DNA and bioinformatic analysis of the variant. RESULTS: Analysis of cDNA Sanger sequencing data revealed that the donor splice site variant led to skipping of exon 19. Further, bioinformatic analysis predicted abnormal splicing in a translational frameshift of 11 amino acids and the creation of a premature termination codon. Results found a novel de novo splice site variant c.5025+2T>C in the ARID1B and truncated 1 633 amino acid protein NP_065783.3:p. (Thr1633Valfs*11). CONCLUSION: Truncated ARID1B resulted in loss of the BAF250 domain, which is part of SWI/SNF-like ATP-dependent chromatin remodeling complex. The severe clinical manifestation presented by the proband was attributed to the disappearance of the BAF250 domain in the ARID1B protein. Our finding provides strong evidence that this pathogenic variant of exon 19 caused a frameshift mutation in the ARID1B at the terminal exon, resulting in the expression of a severe phenotype of CSS.

Novel Androgen Receptor Gene Variant Containing a Premature Termination Codon in a Patient with Androgen Insensitivity Syndrome.

BACKGROUND: Androgen receptor (AR) mutations, which cause androgen insensitivity syndrome, impair the actions of 5α-dihydrotestosterone and testosterone, resulting in abnormal sexual development. In most cases, genetic aberrations of the AR are caused by substitutions, but also can result from mutations in splicing regions and deletions in the AR gene. CASE: Our present report describes a female patient with 46,XY karyotype and normal female external genitalia. A novel de novo c.1669_1670insC insertion in the AR gene caused androgen insensitivity syndrome. SUMMARY AND CONCLUSION: This report provides a detailed clinical characterization of the patient and a possible pathogenic mechanism leading to androgen insensitivity syndrome and should be particularly useful in genetic counseling.

De Novo Duplication in the CHD7 Gene Associated With Severe CHARGE Syndrome.

CHARGE syndrome is an autosomal dominant developmental disorder associated with a constellation of traits involving almost every organ and sensory system, in particular congenital anomalies, including choanal atresia and malformations of the heart, inner ear, and retina. Variants in CHD7 have been shown to cause CHARGE syndrome. Here, we report the identification of a novel de novo p.Asp2119_Pro2120ins6 duplication variant in a conserved region of CHD7 in a severely affected boy presenting with 3 and 5 of the CHARGE cardinal major and minor signs, respectively, combined with congenital umbilical hernia, congenital hernia at the linea alba, mildly hypoplastic inferior vermis, slight dilatation of the lateral ventricles, prominent metopic ridge, and hypoglycemic episodes.

Insights Into de novo Mutation Variation in Lithuanian Exome.

In the last decade, one of the biggest challenges in genomics research has been to distinguish definitive pathogenic variants from all likely pathogenic variants identified by next-generation sequencing. This task is particularly complex because of our lack of knowledge regarding overall genome variation and pathogenicity of the variants. Therefore, obtaining sufficient information about genome variants in the general population is necessary as such data could be used for the interpretation of de novo mutations (DNMs) in the context of patient's phenotype in cases of sporadic genetic disease. In this study, data from whole-exome sequencing of the general population in Lithuania were directly examined. In total, 84 (VarScan) and 95 (VarSeqTM) DNMs were identified and validated using different algorithms. Thirty-nine of these mutations were considered likely to be pathogenic based on gene function, evolutionary conservation, and mutation impact. The mutation rate estimated per position pair per generation was 2.74 × 10-8 [95% CI: 2.24 × 10-8-3.35 × 10-8] (VarScan) and 2.4 × 10-8 [95% CI: 1.96 × 10-8-2.99 × 10-8] (VarSeqTM), with 1.77 × 10-8 [95% CI: 6.03 × 10-9-5.2 × 10-8] de novo indels per position per generation. The rate of germline DNMs in the Lithuanian population and the effects of the genomic and epigenetic context on DNM formation were calculated for the first time in this study, providing a basis for further analysis of DNMs in individuals with genetic diseases. Considering these findings, additional studies in patient groups with genetic diseases with unclear etiology may facilitate our ability to distinguish certain pathogenic or adaptive DNMs from tolerated background DNMs and to reliably identify disease-causing DNMs by their properties through direct observation.