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Effective detection of 148 cases chromosomal mosaicism by karyotyping, chromosomal microarray analysis and QF-PCR in 32,967 prenatal diagnoses.

BACKGROUND: Detection of mosaicism has always been difficult in prenatal diagnosis, which is to assess the value of karyotyping combined with three different molecular genetic tests for prenatal diagnosis. Retrospective review of chromosomal mosaicism (CM) was conducted in 32,967 pregnant women from January 2015 to December 2022. METHODS: A total of 148 fetuses diagnosed with chromosomal mosaicism by karyotyping with copy number variant sequencing (CNV-seq)/ chromosomal microarray analysis (CMA) and quantitative fluorescent polymerase chain reaction (QF-PCR) were selected, and the results from three the methods were compared and further analyzed. The χ2 test for multiple group rates was for the 5 clinical prenatal diagnostic indication groups was used to do multiple comparison tests for statistical analysis. Inconsistent results between methods were identified and further analyzed. RESULTS: A total of 148 CM cases was detected (0.45%, 148/32967), of which karyotyping was detected in combination with CMA in 73 cases (73/85), with CNV-seq in 5 cases (5/11), and with QF-PCR in 35 cases (35/52) and the mosaic conformity rates of the three methods compared with karyotyping were 85.9% (CMA), 67.3% (QF-PCR), and 45.5% (CNV-seq), respectively. There were 49 cases of autosomal mosaicism (49/148, 33.1%) and 99 cases of sex CM (99/148, 66.9%). There were 9 cases of small supernumerary marker chromosome (sSMC)with CMA detection clarified the origin of chromosome fragments. The non-invasive prenatal testing (NIPT) group and the ultrasound abnormality group had the highest detection rates, accounting for 35.1% and 22.3%. CONCLUSIONS: In chromosomal mosaicism, there are inconsistent results between different detection methods. Therefore, karyotyping combined with CMA/CNV-seq and FISH methods significantly improves the detection rate of chromosomal mosaicism and also confirms experimental data in the literature, which is of great value for prenatal diagnosis.

Humans↗

Development of bioinformatics resources for display and analysis of copy number and other structural variants in the human genome.

The discovery of an abundance of copy number variants (CNVs; gains and losses of DNA sequences >1 kb) and other structural variants in the human genome is influencing the way research and diagnostic analyses are being designed and interpreted. As such, comprehensive databases with the most relevant information will be critical to fully understand the results and have impact in a diverse range of disciplines ranging from molecular biology to clinical genetics. Here, we describe the development of bioinformatics resources to facilitate these studies. The Database of Genomic Variants (http://projects.tcag.ca/variation/) is a comprehensive catalogue of structural variation in the human genome. The database currently contains 1,267 regions reported to contain copy number variation or inversions in apparently healthy human cases. We describe the current contents of the database and how it can serve as a resource for interpretation of array comparative genomic hybridization (array CGH) and other DNA copy imbalance data. We also present the structure of the database, which was built using a new data modeling methodology termed Cross-Referenced Tables (XRT). This is a generic and easy-to-use platform, which is strong in handling textual data and complex relationships. Web-based presentation tools have been built allowing publication of XRT data to the web immediately along with rapid sharing of files with other databases and genome browsers. We also describe a novel tool named eFISH (electronic fluorescence in situ hybridization) (http://projects.tcag.ca/efish/), a BLAST-based program that was developed to facilitate the choice of appropriate clones for FISH and CGH experiments, as well as interpretation of results in which genomic DNA probes are used in hybridization-based experiments.

Algorithms↗

Prenatal diagnosis and genetic counseling of a de novo 10q11.22q11.23 duplication associated with a normal development at 12 months of age.

BACKGROUND: Copy number variants are an important source of genomic variations, ranging from pathogenic to benign. The 10q11.22q11.23 region contains complex low-copy repeats that predispose to recurrent deletions and duplications via nonallelic homologous recombination. While some reports associate duplications of this region with developmental delay, intellectual disability, and autism spectrum disorders, emerging evidence suggests that such duplications may also be observed in phenotypically normal individuals, indicating incomplete penetrance and variable expressivity. CASE PRESENTATION: A 35-year-old pregnant woman with an unremarkable obstetric history underwent amniocentesis at 20 weeks of gestation. Conventional karyotyping and copy number variation sequencing (CNV-seq) were performed. CNV-seq revealed a de novo 4.56 Mb duplication at 10q11.22q11.23. The duplication was classified as a variant of uncertain significance. After extensive genetic counseling, the parents elected to continue the pregnancy. At 40 weeks of gestation, a female infant was delivered by cesarean section with normal birth parameters. A comprehensive physical examination at birth revealed no abnormalities. At the 12-month follow-up, the infant demonstrated normal growth parameters and age-appropriate neurodevelopmental milestones, with no evidence of dysmorphic features, developmental delay, or other clinical concerns. CONCLUSION: This report describes a prenatal case of a de novo 10q11.22q11.23 duplication with a normal development at 12 months of age. Our findings contribute to the growing body of literature suggesting that duplications in this pericentromeric region may exhibit incomplete penetrance and variable expressivity, and in some cases, may represent benign familial or de novo variants without apparent clinical consequences.

10q11.22q11.23 duplication↗

Likelihood-based optimization enables accurate copy number estimation for paralogous genes using exome data.

MOTIVATION: Exome sequencing is widely used for genetic studies; however, accurate detection of copy number variants (CNV) in paralogous genes is challenging due to short-read mapping ambiguity and extensive copy-number variation. The human genome contains several hundred paralogous genes, many of which are known to harbor disease-associated CNVs. Existing exome CNV callers are primarily designed for rare CNV detection in uniquely mappable regions and are not well-suited for paralogous genes. METHODS: We describe a computational method (EdgeCopy) for copy number profiling of paralogous genes using whole-exome sequence data. EdgeCopy aggregates reads mapped to all copies of paralogous genes and relates observed read depth to copy number for multiple exome samples using an approximate composite likelihood function. The likelihood function is optimized using numerical optimization to obtain gene-level fractional copy number estimates that are discretized and refined using a Hidden Markov Model to obtain exon-level copy number estimates. RESULTS: Benchmarking of Edgecopy using experimental copy number data showed high concordance (mean = 0.973) for six disease-associated paralogous genes. We evaluated performance using whole-exome data from approximately 2400 samples across five continental populations from the 1000 Genomes Project. EdgeCopy shows robust concordance with whole-genome sequencing based estimates (0.974-0.982) across populations and 130 paralogous genes spanning a wide range of copy-number variation. In comparison, copy number analysis using a state-of-the-art exome CNV caller failed to estimate copy number for paralogous genes with very high mapping ambiguity and showed much lower concordance (0.565) for CNV events compared to EdgeCopy (0.908). AVAILABILITY: EdgeCopy is freely available at https://github.com/vibansal-lab/edgecopy.

Humans↗

Strategies for the detection of copy number and other structural variants in the human genome.

Advances in genome scanning technologies are revealing that copy number variants (CNVs) and polymorphisms, ranging from a few kilobases to several megabases in size, are present in genomes at frequencies much greater than previously known. Discoveries of additional forms of genomic variation, including inversions, insertions, deletions and complex rearrangements, are also occurring at an increased rate. Along with CNVs, these sequence alterations are collectively known as structural variants, and their discovery has had an immediate impact on the interpretation of basic research and clinical diagnostic data. This paper discusses different methods, experimental strategies and technologies that are currently available to study copy number variation and other structural variants in the human genome.

Gene Dosage↗

Assessment of the variant prioritization strategy for genomic newborn screening in the Generation Study.

PURPOSE: Genomic sequencing offers the opportunity to screen for hundreds of rare genetic conditions. To minimize potential negative impact on families and clinical services, it is crucial to reduce false-positive results while prioritizing clinical utility. We present an automated variant prioritization approach in the Generation Study, a research study investigating genomic sequencing in 100,000 newborns in England. Prioritized variants will subsequently undergo manual review by a registered clinical scientist and a specialist clinician before being reported back to parents. METHODS: We assessed specificity of our automated variant prioritization approach in 34,410 samples not enriched for rare diseases and sensitivity in 546 samples from patients with diagnostic variants in genes relevant to newborn screening. We used coverage and copy-number variants callability metrics to evaluate variant detection. RESULTS: We estimated that 3% to 5% of samples will have prioritized variants that require manual review and that <1% of cases will have reportable variants requiring further confirmation of the condition. Sensitivity in genes included in the Generation Study was estimated to be approximately 80%. Gene-level specificity results led to changes in variant prioritization rules and conditions that are included. CONCLUSION: Gene-specific assessment of variant prioritization is crucial to establish analytical validity prior to inclusion in genomic newborn screening.

Humans↗

Gene copy number effects in the mer operon of plasmid NR1.

The level of resistance to Hg2+ determined by the inducible mer operon of plasmid NR1 was essentially the same for three gene copy number variants in Escherichia coli, less in Proteus mirabilis, and intermediate in P. mirabilis "transitioned" to a high r-determinant gene copy number. Cell-free volatilization rates of radioactive mercury indicated increasing levels of intracellular mercuric reductase enzyme from low- to high-gene copy number forms in P. mirabilis and from low- to high-copy number forms in E. coli, but the additional enzyme in E. coli was effectively cryptic.

Enterobacteriaceae↗

Targeted long-read genomic and epigenomic profiling enhances timely comprehensive variant discovery in hypotonia and muscle weakness.

BACKGROUND: Identifying the genetic basis of hypotonia and muscle weakness is critical for patient management and family counseling. However, diagnosis is often hindered by diverse genomic alterations, including repeat expansions, structural variants (SVs), and methylation defects. Standard-of-care testing, largely based on short-read sequencing, is limited in its ability to detect this heterogeneous variation landscape, leaving many patients undiagnosed or requiring lengthy sequential testing. Long-read sequencing represents a promising solution. However, its application as a first-tier diagnostic assay for hypotonia remains unexplored. METHODS: We retrospectively analyzed 227 patients with hypotonia to assess diagnostic yield, time-to-diagnosis, and costs associated with standard-of-care testing. A long-read whole-genome sequencing (LR-WGS) workflow with targeted analysis of hypotonia-associated genes was developed to detect and prioritize pathogenic SNVs, SVs, and CNVs, repeat expansions, and methylation changes at key disease loci. The workflow was validated in a reference-positive cohort with known diagnoses (n&#x2009;=&#x2009;15) and applied to an unsolved cohort (n&#x2009;=&#x2009;14). Variant interpretation followed ACMG guidelines and was confirmed with orthogonal methods. RESULTS: Standard-of-care testing achieved a diagnostic yield of 42% with an average time-to-diagnosis of 68.7&#xa0;days; however, 30% of diagnosed patients experienced significant delays (average 169&#xa0;days) due to sequential testing. The LR-WGS based approach identified all known pathogenic variants in the positive cohort, including SMN1 deletions, methylation defects at 15q11.2/Prader-Willi locus, FMR1 repeat expansions, and sequence and copy-number variants in&#x2009;>&#x2009;100 genes underlying myopathies and muscular dystrophies. The targeted long-read pipeline reduced prioritized variant calls by 97.9-99.9% and, in the unsolved cohort, yielded one definitive diagnosis (de novo COL6A3 deletion) and one possible diagnosis (aberrant methylation and copy number at POMK), for an additional 14% yield. Among patients diagnosed after sequential testing (n&#x2009;=&#x2009;29), LR-WGS is expected to reduce time-to-diagnosis by&#x2009;~&#x2009;85% and decrease cumulative diagnostic delays, with projected healthcare cost savings of $396,000-439,000. Across the entire 227 patient cohort, LR-WGS is anticipated to reduce testing costs by 6.5%, yielding an average savings of $105 per patient. CONCLUSIONS: LR-WGS enables comprehensive discovery of genomic and epigenomic variants in hypotonia and muscle weakness, improving diagnostic yield, shortening diagnostic timelines, and reducing costs compared with current standard-of-care testing.

Humans↗

Beyond HLA: the significance of genomic variation for allogeneic hematopoietic stem cell transplantation.

The last 2 years have seen much excitement in the field of genetics with the identification of a formerly unappreciated level of "structural variation" within the normal human genome. Genetic structural variants include deletions, duplications, and inversions in addition to the recently discovered, copy number variants. Single nucleotide polymorphisms are the most extensively evaluated variant within the genome to date. Combining our knowledge from these studies with our rapidly accumulating understanding of structural variants, it is apparent that the extent of genetic dissimilarity between any 2 individuals is considerable and much greater than that which was previously recognized. Clearly, this more diverse view of the genome has significant implications for allogeneic hematopoietic stem cell transplantation, not least in the generation of transplant antigens but also in terms of individual susceptibility to transplant-related toxicities. With advances in DNA sequencing technology we now have the capacity to perform genome-wide analysis in a high throughput fashion, permitting a detailed genetic analysis of patient and donor prior to transplantation. Understanding the significance of this additional genetic information and applying it in a clinically meaningful way will be one of the challenges faced by transplant clinicians in the future.

Genetic Predisposition to Disease↗

Quantitation of estrogen receptor mRNA copy numbers in breast cancer cell lines and tumors.

Several clinical studies have suggested that the content of estrogen receptor (ER) in breast tumors influences the survival, tumor recurrence, and response to antiestrogen therapies. Therefore, the ability to precisely quantitate the ER content in tumor tissues will be of significant benefit to women with breast cancer. Although immunohistochemical and polymerase chain reaction (PCR) methods have been described for the detection and semiquantitation of ER, none of them precisely quantitate ER copy numbers in tumor samples. In the present report we describe a molecular approach to accurately quantitate ER mRNA copy numbers using a reverse-transcription PCR (RT-PCR) template competition method. A competitor template was devised by inserting unrelated nucleic acid sequences into an ER cDNA clone. A template competitive RT-PCR analysis was then performed to determine the number of copies of ER mRNA. As a standard of reference for the ER mRNA copy numbers from various samples, the mRNA copy numbers of a constitutively expressed gene, glyceraldehyde-3-phosphate dehydrogenase (GAPDH), were also quantitated. The ER quantitations were performed in three positive cell lines, MCF-7, T47D, and ZR-75, and two positive tumor tissues by this approach. Our results described here show that among the cell lines studied, T47D expresses the highest copy numbers of ER. We also present here that ER as low as 10(3) copies per 10(5) copies of GAPDH can be detected and quantitated in tumor samples by the template competition method. In addition, the molecular approach can simultaneously detect, distinguish, and quantitate exon deletion variant copy numbers of ER. The results described in this report indicate that the ratios of exon 7 deletion variant to wild type in the tumor tissues are significantly higher than in the cell lines studied.

Breast Neoplasms↗

Clinical, Morphologic, and Molecular Findings in Neurotrophic Tyrosine Receptor Kinase 3 (NTRK3) Fusion Spitz Neoplasms.

Neurotrophic tyrosine receptor kinase 3 (NTRK3) fusions are a relatively common driver of Spitz neoplasms. This subset of Spitz neoplasms may have smaller cells without the typical abundant glassy eosinophilic cytoplasm seen in most Spitz neoplasms. This can make it difficult to recognize them as belonging to the Spitz family and potentially result in misdiagnosis as melanoma. In this study, we assessed the clinical, morphologic, and genomic features of 60 NTRK3 fusion Spitz neoplasms (13 previously reported and 47 new cases) and performed a comprehensive review of the literature. We identified 5 characteristic morphologic patterns: (1) conventional Spitz nevus (SN) or Spitz tumor (ST), (2) spindle cell nevus of Reed, (3) spindle cell tumor of Reed, (4) dysplastic SN, and (5) exclusively spindle cell variant of SN/ST. The most common fusion partners were MYO5A and ETV6. DNA copy number changes were infrequent (18% of cases), with an average of 1 copy number variant per case. Among 54 cases tested for a TERT promoter mutation, all were negative. One case had a homozygous deletion of 9p21. The majority of cases were diagnosed as SN or Reed nevi (n = 37), rather than ST or Reed tumor (n = 23), and none were diagnosed as Spitz melanoma. Among the 30 patients with outcome data, none experienced recurrence following excision (mean follow-up time was 15 months). NTRK3 fusions can produce morphologic variants of Spitz neoplasms that may be difficult to recognize as belonging to the Spitz family. Familiarity with these morphologic patterns can facilitate identification of the NTRK3 fusion, optimizing classification and distinction from melanoma.

Humans↗

Optimizing GRIDSS for clinical use: A targeted NGS filtering strategy for germline structural variant detection.

Detecting intermediate-sized structural variants (SVs) remains challenging in diagnostics, as tools for single-nucleotide and copy-number variants, particularly read-depth-based methods, are often insufficient. GRIDSS addresses this gap by integrating paired-end mapping, split-read analysis, and assembly-based approaches. However, its use in targeted sequencing and diagnostic workflows remains complex. NGS panel data from 9726 patients with suspected hereditary cancer were analyzed using GRIDSS. A filtering strategy was developed to prioritize clinically relevant germline SVs. Multiple parameter settings were tested to optimize performance. The initial dataset of 1,307,592 variants was reduced to 89 candidates after applying the selected filtering strategy. Of these, 24 had been previously detected by routine callers and were not further analyzed. Among the remaining 65, 13 were considered likely true positives after visual inspection using IGV. Experimental validation was performed by Sanger/Nanopore long-read sequencing for these variants, all of which were confirmed. Eight were classified as (likely) pathogenic, including two frameshift duplications in MSH6, one splicing variant in BARD1, and five mobile element insertions in APC, BRCA2, and PALB2. Altogether, GRIDSS implementation increased diagnostic yield while maintaining feasibility for diagnostic workflows. Comprehensive workflow scheme for germline structural variant detection and results in our diagnostic setting.

Humans↗

Emerging genes implicated in human congenital heart disease: a 2023-2025 scoping review.

BACKGROUND: Congenital heart disease (CHD) is the most common major congenital anomaly and a leading cause of infant morbidity and mortality. The rapid expansion of genomic technologies has accelerated the discovery of rare genetic variants implicated in CHD pathogenesis. However, most individuals with CHD still lack an identifiable molecular etiology. The purpose of this scoping review is to systematically characterize genes reported in the recent literature as candidate CHD-associated genes and contextualize these findings within the stages of cardiac morphogenesis. METHODS: PubMed was searched using predefined terms related to CHD and genetic variants, supplemented by a prospectively maintained internal database. We included human studies published between January 2023 and December 2025 that identified pathogenic, likely pathogenic, or uncertain monogenic variants in at least one patient with CHD. Animal-only studies, chromosomal abnormalities, copy number variants, multigenic associations, transcriptomic/proteomic analyses, reviews, and maternal-only genetic studies were excluded. Gene-disease validity classifications were assigned using the Clinical Genome Resource (ClinGen) CHD Gene Curation Expert Panel framework. RESULTS: Of 2,834 screened articles, 391 studies met inclusion criteria, identifying 912 unique genes reported as candidate CHD-associated genes. Frequently reported genes included PTPN11, NOTCH1, GATA4, JAG1, MYH6, GATA6, and LZTR1. Identified genes spanned all major stages of cardiogenesis, including developmental priming, cardiac progenitor specification, left-right axis formation, neural crest migration, outflow tract development, septation, and postnatal structural remodeling. Studies increasingly implicated ciliary dysfunction, transcriptional regulation, ribosomal biology, and multigenic inheritance in CHD pathogenesis. Emerging methodologies included stem cell-derived cardiac models, machine learning-based gene prioritization, and epigenetic analyses. CONCLUSIONS: Recent literature substantially expands the catalog of candidate genes that may be associated with CHD and highlights the biologic complexity underlying cardiac morphogenesis. Integration of genomic, developmental, and functional approaches will be essential to improve mechanistic understanding, refine genetic counseling, and support future precision medicine strategies for CHD.

Cardiac development↗

Genome assembly comparison identifies structural variants in the human genome.

Numerous types of DNA variation exist, ranging from SNPs to larger structural alterations such as copy number variants (CNVs) and inversions. Alignment of DNA sequence from different sources has been used to identify SNPs and intermediate-sized variants (ISVs). However, only a small proportion of total heterogeneity is characterized, and little is known of the characteristics of most smaller-sized (<50 kb) variants. Here we show that genome assembly comparison is a robust approach for identification of all classes of genetic variation. Through comparison of two human assemblies (Celera's R27c compilation and the Build 35 reference sequence), we identified megabases of sequence (in the form of 13,534 putative non-SNP events) that were absent, inverted or polymorphic in one assembly. Database comparison and laboratory experimentation further demonstrated overlap or validation for 240 variable regions and confirmed >1.5 million SNPs. Some differences were simple insertions and deletions, but in regions containing CNVs, segmental duplication and repetitive DNA, they were more complex. Our results uncover substantial undescribed variation in humans, highlighting the need for comprehensive annotation strategies to fully interpret genome scanning and personalized sequencing projects.

Base Sequence↗

Association of FOXC1 Duplications With Juvenile Open-Angle Glaucoma.

IMPORTANCE: While FOXC1 single-nucleotide variants and deletions are well-established causes of Axenfeld-Rieger syndrome, few FOXC1 duplications have been reported. This study investigated families with duplications encompassing the FOXC1 gene to refine the associated phenotypic spectrum and contribution to glaucoma. OBJECTIVE: To investigate the prevalence and phenotype of FOXC1 duplications in 2 large glaucoma registries. DESIGN, SETTING, AND PARTICIPANTS: This retrospective observational genetic cohort study included participants recruited from the Australian & New Zealand Registry of Advanced Glaucoma (ANZRAG) and the Massachusetts Eye and Ear (MEE) cohort from 2008 through 2025. Participants with glaucoma, and available relatives, underwent genomic testing to identify duplications encompassing FOXC1 using exome sequencing and genotyping arrays (ANZRAG) or whole-genome sequencing (MEE). Data analyses were conducted from 2022 through 2025. MAIN OUTCOMES AND MEASURES: Prevalence of FOXC1 duplications, age at glaucoma onset, and phenotype, including ocular and systemic features. RESULTS: Twenty individuals from 10 families (50% female and 50% male; 70% self-described as broadly European [Australian/British, British, English/German, English/Polish, European, or Scottish], 25% as Asian [Chinese or Filipino], and 5% as Latin American [Salvadoran]) were identified with FOXC1 duplications. All genetically tested individuals were diagnosed with glaucoma, demonstrating high penetrance. Seventeen individuals were referred with juvenile open-angle glaucoma (JOAG), 1 with primary open-angle glaucoma, 1 with primary congenital glaucoma, and 1 with anterior segment dysgenesis. The diagnosis of 4 individuals from 1 family with ectropion uveae was revised to anterior segment dysgenesis. Systemic features were reported for 2 participants (10.5%), including subtle dental findings and mild facial dysmorphism. Duplications encompassing FOXC1 were among the most common monogenic contributors to JOAG. In the ANZRAG group, they accounted for 13.5% (95% CI, 6.7%-25.3%) of JOAG probands with a genetic diagnosis, second to MYOC (53.8%; 95% CI, 40.5%-66.7%). In the MEE group, FOXC1 duplications accounted for 9.5% (95% CI, 2.7%-28.9%) of JOAG probands with a genetic diagnosis. CONCLUSIONS AND RELEVANCE: These findings suggest FOXC1 duplications are an underrecognized, highly penetrant, but variably expressive, genetic variation associated with JOAG. Findings for the relatively modest number of individuals in the retrospective study were associated with wide confidence intervals. This limitation is often inherent to studies of JOAG, a rare condition for which individual genetic variants account for only a subset of cases. Despite this, the findings highlight the genetic heterogeneity of JOAG and support the potential importance of considering routine genetic copy-number variant analysis for individuals with JOAG.

Humans↗

Inter-population variability of DEFA3 gene absence: correlation with haplotype structure and population variability.

BACKGROUND: Copy number variants (CNVs) account for a significant proportion of normal phenotypic variation and may have an important role in human pathological variation. The alpha-defensin cluster on human chromosome 8p23.1 is one of the better-characterized CNVs, in which high copy number variability affecting the DEFA1 and DEFA3 genes has been reported. Moreover, the DEFA3 gene has been found to be absent in a significant proportion of control population subjects. CNVs involving immune genes, such as alpha-defensins, are possibly contributing to innate immunity differences observed between individuals and influence predisposition and susceptibility to disease. RESULTS: We have tested the DEFA3 absence in 697 samples from different human populations. The proportion of subjects lacking DEFA3 has been found to vary from 10% to 37%, depending on the population tested, suggesting differences in innate immune function between populations. Absence of DEFA3 was correlated with the region's haplotype block structure. African samples showed a higher intra-populational variability together with the highest proportion of subjects without DEFA3 (37%). Association analysis of DEFA3 absence with 136 SNPs from a 100-kb region identified a conserved haplotype in the Caucasian population, extending for the whole region. CONCLUSION: Complexity and variability are essential genomic features of the alpha-defensin cluster at the 8p23.1 region. The identification of population differences in subjects lacking the DEFA3 gene may be suggestive of population-specific selective pressures with potential impact on human health.

Asian People↗

Quantitative genetic variation of esterase activity associated with a gene amplification in Culex quinquefasciatus.

Amplification of the esterase B1 gene is responsible for insecticide resistance in the mosquito Culex quinquefasciatus. We used a mating scheme to isolate chromosomes carrying amplified esterase genes from a long-selected laboratory strain (Tem-R) to determine whether observed variation in esterase activity had a genetic basis. The amplified esterase genes segregated as a block and a possible newly arisen esterase B1 copy-number variant was found among the progeny of females which carried amplified B1 genes on only one homologue. A quantitative genetic analysis found significant genetic variation of esterase activity among families which carried different amplification-bearing chromosomes from the Tem-R strain. Esterase B1 copy-number variation among these Tem-R chromosomes is the most likely basis for the observed genetic variation in esterase activity.

Analysis of Variance↗

A Second Report of a Missense Variant in AMMECR1 Causing Midface Hypoplasia, Hearing Impairment, Elliptocytosis, and Nephrocalcinosis: Case Report and Literature Review.

Pathogenic variants in AMMECR1 have been associated with a rare multisystem disorder characterized by midface hypoplasia, hearing impairment, elliptocytosis, and nephrocalcinosis (MFHIEN). To date, most reported cases involve copy number variants or presumed loss-of-function alterations, with only a single prior report describing a missense variant supported by functional studies. Here, we report a patient with a heterozygous de novo AMMECR1 missense variant, NM_015365.3:c.649G>A p.(Val217Met) presenting with clinical features consistent with MFHIEN, including midface hypoplasia, partial hearing impairment, nephrocalcinosis, and elliptocytosis identified on peripheral blood smear. Comparative review of the literature highlights that while previously reported missense variants in AMMECR1 demonstrated altered intranuclear protein distribution and reduced expression in functional assays, clinical evidence supporting pathogenicity of non-truncating variants remains limited. The phenotypic overlap between our patient and prior report strengthens the association between missense variations and the MFHIEN phenotype. Our findings support the pathogenic relevance of missense variation in AMMECR1 and emphasize the importance of integrating detailed phenotyping, including hematologic evaluation, with genomic data in the diagnosis of rare multisystem disorders. Additional cases and functional studies are needed to clarify genotype-phenotype correlations and underlying disease mechanisms.

Humans↗