Background: Knowledge of the genetic variation underlying Primary Immune Deficiency (PID) is increasing. Reanalysis of genome-wide sequencing data from undiagnosed patients with suspected PID may improve the diagnostic rate.
Methods: We included patients monitored at the Department of Infectious Diseases or the Child and Adolescent Department, Rigshospitalet, Denmark, for a suspected PID, who had been analysed previously using a targeted PID gene panel (457 PID-related genes) on whole exome- (WES) or whole genome sequencing (WGS) data. A literature review was performed to extend the PID gene panel used for reanalysis of single nucleotide variation (SNV) and small indels. Structural variant (SV) calling was added on WGS data.
Results: Genetic data from 94 patients (86 adults) including 36 WES and 58 WGS was reanalysed a median of 23 months after the initial analysis. The extended gene panel included 208 additional PID-related genes. Genetic reanalysis led to a small increase in the proportion of patients with new suspicious PID related variants of uncertain significance (VUS). The proportion of patients with a causal genetic diagnosis was constant. In total, five patients (5%, including three WES and two WGS) had a new suspicious PID VUS identified due to reanalysis. Among these, two patients had a variant added due to the expansion of the PID gene panel, and three patients had a variant reclassified to a VUS in a gene included in the initial PID gene panel. The total proportion of patients with PID related VUS, likely pathogenic, and pathogenic variants increased from 43 (46%) to 47 (50%), as one patient had a VUS detected in both initial- and reanalysis. In addition, we detected new suspicious SNVs and SVs of uncertain significance in PID candidate genes with unknown inheritance and/or as heterozygous variants in genes with autosomal recessive inheritance in 8 patients.
Conclusion: These data indicate a possible diagnostic gain of reassessing WES/WGS data from patients with suspected PID. Reasons for the possible gain included improved knowledge of genotype-phenotype correlation, expanding the gene panel, and adding SV analyses. Future studies of genotype-phenotype correlations may provide additional knowledge on the impact of the new suspicious VUSs.
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http://dx.doi.org/10.3389/fimmu.2022.906328 | DOI Listing |
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Physiopathology in Aging Laboratory (LIM-22), University of São Paulo Medical School, São Paulo, São Paulo, Brazil.
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December 2024
Xiangya Hospital, Central South University, Changsha, Hunan, China.
Background: Various studies indicated that the immune system is a cardinal feature of Alzheimer's disease (AD), which can either ameliorate or exacerbate AD neuropathogenesis. Nevertheless, the associations between genes involved in the immune system and AD remain unclear.
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Alzheimers Dement
December 2024
Yale University, New Haven, CT, USA.
Background: Alcohol Use Disorder (AUD) affects over 15 million individuals in the United States, contributing to oxidative stress, neuroinflammation, and elevating the risk of neurodegeneration. Despite this, the connection between AUD and aging conditions, particularly Alzheimer's disease (AD), remains unclear. AD, with a heritability of 60-80%, is genetically linked, necessitating an exploration of the molecular implications of AUD and genetic susceptibility to AD.
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Boston Children's Hospital, Boston, MA, USA.
Background: Alzheimer's disease (AD), an age-associated neurodegenerative disorder, is characterized by progressive neuronal loss and the accumulation of misfolded proteins such as amyloid-β and tau. While neuroinflammation, mediated by microglia and brain-resident macrophages, plays a pivotal role in AD pathogenesis, the intricate interactions among age, genes, and other risk factors remain elusive. Somatic mutations, known to accumulate with age, instigate clonal expansion across diverse cell types, impacting both cancer and non-cancerous conditions.
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December 2024
Columbia University, New York, NY, USA.
Background: Alzheimer's disease (AD) missing heritability remains extensive despite numerous genetic risk loci identified by genome-wide association or sequencing studies. This has been attributed, at least partially, to mechanisms not currently investigated by traditional single-marker/gene approaches. Polygenic Risk Scores (PRS) aggregate sparse genetic information across the genome to identify individual genetic risk profiles for disease prediction and patient risk stratification.
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