Rare Alleles Research Articles

Harvest and decimation affect genetic drift and the effective population size in wild reindeer.

Harvesting and culling are methods used to monitor and manage wildlife diseases. An important consequence of these practices is a change in the genetic dynamics of affected populations that may threaten their long-term viability. The effective population size (N e) is a fundamental parameter for describing such changes as it determines the amount of genetic drift in a population. Here, we estimate N e of a harvested wild reindeer population in Norway. Then we use simulations to investigate the genetic consequences of management efforts for handling a recent spread of chronic wasting disease, including increased adult male harvest and population decimation. The N e/N ratio in this population was found to be 0.124 at the end of the study period, compared to 0.239 in the preceding 14 years period. The difference was caused by increased harvest rates with a high proportion of adult males (older than 2.5 years) being shot (15.2% in 2005-2018 and 44.8% in 2021). Increased harvest rates decreased N e in the simulations, but less sex biased harvest strategies had a lower negative impact. For harvest strategies that yield stable population dynamics, shifting the harvest from calves to adult males and females increased N e. Population decimation always resulted in decreased genetic variation in the population, with higher loss of heterozygosity and rare alleles with more severe decimation or longer periods of low population size. A very high proportion of males in the harvest had the most severe consequences for the loss of genetic variation. This study clearly shows how the effects of harvest strategies and changes in population size interact to determine the genetic drift of a managed population. The long-term genetic viability of wildlife populations subject to a disease will also depend on population impacts of the disease and how these interact with management actions.

Fixation times of de novo and standing beneficial variants in subdivided populations.

The rate at which beneficial alleles fix in a population depends on the probability of and time to fixation of such alleles. Both of these quantities can be significantly impacted by population subdivision and limited gene flow. Here, we investigate how limited dispersal influences the rate of fixation of beneficial de novo mutations, as well as fixation time from standing genetic variation. We investigate this for a population structured according to the island model of dispersal allowing us to use the diffusion approximation, which we complement with simulations. We find that fixation may take on average fewer generations under limited dispersal than under panmixia when selection is moderate. This is especially the case if adaptation occurs from de novo recessive mutations, and dispersal is not too limited (such that approximately FST<0.2). The reason is that mildly limited dispersal leads to only a moderate increase in effective population size (which slows down fixation), but is sufficient to cause a relative excess of homozygosity due to inbreeding, thereby exposing rare recessive alleles to selection (which accelerates fixation). We also explore the effect of metapopulation dynamics through local extinction followed by recolonization, finding that such dynamics always accelerate fixation from standing genetic variation, while de novo mutations show faster fixation interspersed with longer waiting times. Finally, we discuss the implications of our results for the detection of sweeps, suggesting that limited dispersal mitigates the expected differences between the genetic signatures of sweeps involving recessive and dominant alleles.

Abstract 3701: Urine-based liquid biopsy test for the detection of residual bladder cancer in radical cystectomy patients

Abstract The gold standard therapy for muscle-invasive bladder cancer (MIBC) is neoadjuvant chemotherapy followed by radical cystectomy (RC) and urinary diversion. Some patients may have their disease completely eradicated by chemotherapy as ~35% of patients achieve a pathologic complete response (pCR) when evaluated from RC specimens. RC with urinary diversion is a life-altering operation with high complication rates and therefore determining who are complete responders would improve quality of life and could decrease costs and still achieve a high cure rate via RC avoidance. Unfortunately, current methods cannot accurately identify complete responders. Our lab has developed a urine-based liquid biopsy test in which DNA isolated from urine and germline is isolated and subjected to panel exome sequencing for enumeration of somatic variants. This occurs under the premise that tumor DNA identified (as mutant alleles) is a marker of residual disease while the absence of tumor DNA (meaning the absence of mutant alleles) can indicate a pCR. A 55 gene panel was designed to be used for exonic sequencing of urinary DNA (uDNA) to identify mutations indicative of bladder cancer or therapeutic targets. We have shown that most mutations in tumor tissue are detectable as mutations in urine (Mu). We also showed that the presence or absence of residual Mu after completion of chemotherapy strongly associates with residual disease or pCR at the time of RC, respectively. Therefore, this test could be used after neoadjuvant therapy to better identify patients for RC avoidance. To optimize this test, we are currently evaluating pre-analytical factors affecting the yield, purity, and integrity of uDNA and the quality of sequencing data using prospectively collected samples from patients with MIBC. We are also testing commercial and novel preservatives to identify one that maintains cell-free DNA integrity, yield, and mutation detection accuracy to enable temporary ambient temperature storage without compromising mutation detection, permitting shipping/centralized testing. Lastly, we are comparing two library preparation approaches: classical hybrid capture-based (Agilent SureSelect XTHS) and amplicon+hybrid capture-based (Agilent HaloPlexHS) to determine which performs the best for identifying the variants in a sample. Our results showed that both sequencing depth and the quality bases mapped was higher when utilizing the SureSelect XTHS kit as compared to HaloPlexHS using approximately the same number of reads. This improvement may also increase the power to detect rare alleles. Studies described herein will enable liquid biopsy tests to accurately identify patients with pCR after neoadjuvant therapy and might safely avoid radical cystectomy. Citation Format: Rhea Arya, Henkel Valentine, Uttam Satyal, Raju Chelluri, Mengmeng Li, Philip Abbosh. Urine-based liquid biopsy test for the detection of residual bladder cancer in radical cystectomy patients [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 3701.

A higher-yield hybrid rice is achieved by assimilating a dominant heterotic gene in inbred parental lines.

The exploitation of heterosis to integrate parental advantages is one of the fastest and most efficient ways of rice breeding. The genomic architecture of heterosis suggests that the grain yield is strongly correlated with the accumulation of numerous rare superior alleles with positive dominance. However, the improvements in yield of hybrid rice have shown a slowdown or even plateaued due to the limited availability of complementary superior alleles. In this study, we achieved a considerable increase in grain yield of restorer lines by inducing an alternative splicing event in a heterosis gene OsMADS1 through CRISPR-Cas9, which accounted for approximately 34.1%-47.5% of yield advantage over their corresponding inbred rice cultivars. To achieve a higher yield in hybrid rice, we crossed the gene-edited restorer parents harbouring OsMADS1GW3p6 with the sterile lines to develop new rice hybrids. In two-line hybrid rice Guang-liang-you 676 (GLY676), the yield of modified hybrids carrying the homozygous heterosis gene OsMADS1GW3p6 significantly exceeded that of the original hybrids with heterozygous OsMADS1. Similarly, the gene-modified F1 hybrids with heterozygous OsMADS1GW3p6 increased grain yield by over 3.4% compared to the three-line hybrid rice Quan-you-si-miao (QYSM) with the homozygous genotype of OsMADS1. Our study highlighted the great potential in increasing the grain yield of hybrid rice by pyramiding a single heterosis gene via CRISPR-Cas9. Furthermore, these results demonstrated that the incomplete dominance of heterosis genes played a major role in yield-related heterosis and provided a promising strategy for breeding higher-yielding rice varieties above what is currently achievable.

Association of three single nucleotide polymorphisms in the LPIN1 gene with milk production traits in cows of the Yaroslavl breed.

Lipin-1 is a member of the evolutionarily conserved family of proteins and is expressed predominantly in adipose tissue and skeletal muscle. On the one hand, lipin-1 is an enzyme that catalyzes the dephosphorylation of phosphatidic acid to diacylglycerol (DAG) and thus participates in the metabolic pathways of biosynthesis of storage lipids in the cell, membrane phospholipids, and intracellular signaling molecules. On the other hand, lipin-1 is able to be transported from the cytoplasm to the nucleus and is a coactivator of lipid metabolism gene transcription. It was shown, using the analysis of single nucleotide polymorphism (SNP) associations, that the lipin-1 coding gene (LPIN1) is a promising candidate gene for milk production traits in Holstein and Brown Swiss cows. However, it is unclear how much of its effect depends on the breed. The Yaroslavl dairy cattle breed was created in the 18-19 centuries in Russia by breeding northern Great Russian cattle, which were short and poor productive, but well adapted to local climatic conditions and bad food base. It was shown by whole genome genotyping and sequencing that the Yaroslavl breed has unique genetics compared to Russian and other cattle breeds. The aim of the study was to assess the frequency of alleles and genotypes of three SNPs in the LPIN1 gene and to study the association of these SNPs with milk production traits in Yaroslavl cows. Blood samples from 142 cows of the Yaroslavl breed were obtained from two farms in the Yaroslavl region. Genotyping of SNPs was carried out by polymerase chain reaction-restriction fragment length polymorphism method. Associations of SNPs with 305-day milk yield, fat yield, fat percentages, protein yield, and protein percentages were studied from the first to the fourth lactation. Statistical tests were carried out using a mixed linear model, taking into account the relationship between individuals. We identified three SNPs - rs110871255, rs207681322 and rs109039955 with a frequency of a rare allele of 0.042-0.261 in Yaroslavl cows. SNP rs110871255 was associated with fat yield during the third and fourth lactations. SNP rs207681322 was associated with milk yield for the second, third and fourth lactations, as well as protein yield for the third lactation. Thus, we identified significant associations of SNPs rs207681322 and rs110871255 in the LPIN1 gene with a number of milk production traits during several lactations in Yaroslavl cows.

Application of SSR markers for assessment of genetic similarity and genotype identification in local winter wheat breeding program

Background. Simple sequence repeat (SSR) markers are widely used for genetic analysis in plant breeding, allowing for the investigation of genetic divergence and similarity of genotypes, identification of unique alleles and determination of levels of genetic diversity. Materials and Methods. Analysis of 42 wheat cultivars and lines from the bree­ding program of Poltava State Agrarian University was carried out using 11 SSR mar­kers located on different chromosomes. A set of 11 microsatellite single locus primer pairs was used in this study (Xgwm 11, Xgwm 44, Xgwm 46, Xgwm 135, Xgwm 174, Xgwm 186, Xgwm 194, Xgwm 219, Xgwm 312, Xgwm 372, Xgwm 389). Amplification of 11 loci was performed using the Kapa2G FastHotStart PCR Kit (Kapa Biosystems, Boston, USA). The mixture for PCR amplification contained 1.5 x Kapa2G buffer, 0.5 mM dNTP mix, 0.5 μM of each primer (Sigma-Aldrich), 1 unit of Kapa2G FastHotStart DNA Polymerase and 11.8 ng of template DNA in a volume of 25 μl. Fragment lengths were determined using GeneMapper 4.0 software (Applied Biosystems). Dendrogram was constructed using UPGMA (unweighted pair-group method with arithmetic average) in DarWin 6.0 software (Perrier and Jacquemoud-Collet 2006) for clustering analysis. Results and Discussion. The number of alleles detected per locus varied from 5 (Xgwm 11, Xgwm 135, Xgwm 219) to 12 (Xgwm 174). A total of 80 alleles were identified for the 11 loci studied. Among these, 25 unique alleles were found, each of which was present in only one genotype. The polimorphism information content (PIC) values ranged from 0.48 to 0.87. The markers Xgwm 174 (PIC = 0.87), Xgwm 389 (PIC = 0.84) and Xgwm 372 (PIC = 0.83) were the most polymorphic in our study. We obtained a distribution of cultivars and lines by genetic similarity into five clusters. Conclusion. The use of SSR markers made it possible to identify rare alleles within the varieties presented. The study of the genetic similarity of the presented geno­types showed their relationship according to their origin. It was shown that unique alleles tended to occur in certain local breeding genotypes. This study has shown that genotypes representing the local Ukrainian breeding program often have the same allelic variants and at the same time some genotypes have unique allelic variants. The results obtained from the study of 42 winter wheat genotypes based on 11 SSR markers showed that molecular markers can be very useful in assessing genetic similarity and identifying genotypes in the local breeding program.

Associations between ZNF676, CTC1 Gene Polymorphisms and Relative Leukocyte Telomere Length with Myopia and Its Degree.

The interaction between environmental and genetic factors that influence eye growth, regulated by vision, contributes to the development and progression of myopia. This dynamic interaction significantly contributes to the multifaceted development and progression of myopia, a prevalent ocular condition. Our study delves into the associations between ZNF676 and CTC1 gene polymorphisms and their impact on the relative leukocyte telomere length (relative LTL) in myopia, as well as its degree. By unravelling these underpinnings in conjunction with environmental influences, we aim to enhance our understanding of the complex mechanisms that drive the onset and severity of myopia. This study included patients with myopia and ophthalmologically healthy subjects. DNA was extracted from peripheral venous blood by the salting out method. Genotyping of ZNF676 rs412658 and CTC1 rs3027234, as well as the measurement of relative LTL, were conducted using a real-time polymerase chain reaction method (RT-PCR). The data obtained were statistically analyzed using the "IBM SPSS Statistics 29.0" software program. The results show that myopic patients who are homozygous for the rs3027234 rare allele genotype of the CTC1 gene have statistically significantly shorter relative LTL compared to patients with the CC and CT genotypes. Also, men with the CTC1 rs3027234 TT genotype have statistically significantly longer leukocyte telomeres than women with the same genotype. The respective median (IQR) of the relative LTL for women and men is 0.280 (0.463) vs. 0.696 (0.440), with a p-value of 0.027. The myopia group with the ZNF676 rs412658 CC genotype has statistically significantly shorter leukocyte telomeres than the control group with the same genotype (age ≤ 29), and the p-value is 0.011. Also, the myopia group with the ZNF676 rs412658 CT and CTC1 rs3027234 CT genotypes have statistically significantly longer leukocyte telomeres than the control group with the same genotypes (age > 29), with p-values that are, respectively, 0.016 and 0.012. The evaluation of the genotype distributions of the polymorphisms in the myopia patients showed that ZNF676 rs412658 CT genotype carriers have 4-fold decreased odds of high myopia occurrence (OR = 0.250; CI: 0.076-0.826; p = 0.023). Also, the evaluation of the allele distributions of the polymorphism under the additive genetic model in the myopia group showed that the ZNF676 rs412658 T allele was associated with similar odds of high myopia (OR = 0.269; 95% CI: 0.090-0.807; p = 0.019). The comprehensive p-value, assessing the relative LTL of subjects across the different levels of myopia, signifies a statistical difference in the relative LTL among individuals with varying degrees of myopia. There was a statistically significant difference in relative LTL between mild and moderate myopia degrees (0.819 (1.983) vs. 0.083 (0.930), p = 0.007). CTC1 rs3027234 TT may be considered a protective genotype for telomere shortening in men, while the overall telomere shortening might be linked to the worse myopia degree. The ZNF676 rs412658 T allele may protect against a high myopia occurrence.

Only rare classical MHC-I alleles are highly expressed in the European house sparrow.

The exceptional polymorphism observed within genes of the major histocompatibility complex (MHC), a core component of the vertebrate immune system, has long fascinated biologists. The highly polymorphic classical MHC class-I (MHC-I) genes are maintained by pathogen-mediated balancing selection (PMBS), as shown by many sites subject to positive selection, while the more monomorphic non-classical MHC-I genes show signatures of purifying selection. In line with PMBS, at any point in time, rare classical MHC alleles are more likely than common classical MHC alleles to confer a selective advantage in host-pathogen interactions. Combining genomic and expression data from the blood of wild house sparrows Passer domesticus, we found that only rare classical MHC-I alleles were highly expressed, while common classical MHC-I alleles were lowly expressed or not expressed. Moreover, highly expressed rare classical MHC-I alleles had more positively selected sites, indicating exposure to stronger PMBS, compared with lowly expressed classical alleles. As predicted, the level of expression was unrelated to allele frequency in the monomorphic non-classical MHC-I alleles. Going beyond previous studies, we offer a fine-scale view of selection on classical MHC-I genes in a wild population by revealing differences in the strength of PMBS according to allele frequency and expression level.

A case report on incidentally detected A2B blood group

The two primary subgroup of AB is A1B and A2B. A2B is extremely rare. The differentiation between A1B and A2B is based on the reactivity of A1 cells with anti- A1 lectin. Subgroups can result from inheritance of rare alleles at ABO locus and can cause discrepancy but rarely cause haemolytic transfusion reaction. Most of the subgroups are found incidentally during a pre transfusion testing or pregnancy follow up. Here we report an incidental case of A2B in a 28-year female. The case report highlights the need to be aware of such uncommon and rare blood groups. It also emphasizes on the need to do both forward and reverse grouping routinely.

Investigating pedigree- and SNP-associated components of heritability in a wild population of Soay sheep

Estimates of narrow sense heritability derived from genomic data that contain related individuals may be biased due to the within-family effects such as dominance, epistasis and common environmental factors. However, for many wild populations, removal of related individuals from the data would result in small sample sizes. In 2013, Zaitlen et al. proposed a method to estimate heritability in populations that include close relatives by simultaneously fitting an identity-by-state (IBS) genomic relatedness matrix (GRM) and an identity-by-descent (IBD) GRM. The IBD GRM is identical to the IBS GRM, except relatedness estimates below a specified threshold are set to 0. We applied this method to a sample of 8557 wild Soay sheep from St. Kilda, with genotypic information for 419,281 single nucleotide polymorphisms. We aimed to see how this method would partition heritability into population-level (IBS) and family-associated (IBD) variance for a range of genetic architectures, and so we focused on a mixture of polygenic and monogenic traits. We also implemented a variant of the model in which the IBD GRM was replaced by a GRM constructed from SNPs with low minor allele frequency to examine whether any additive genetic variance is captured by rare alleles. Whilst the inclusion of the IBD GRM did not significantly improve the fit of the model for the monogenic traits, it improved the fit for some of the polygenic traits, suggesting that dominance, epistasis and/or common environment not already captured by the non-genetic random effects fitted in our models may influence these traits.

Structural genomic variation in the inbred Scandinavian wolf population contributes to the realized genetic load but is positively affected by immigration.

When populations decrease in size and may become isolated, genomic erosion by loss of diversity from genetic drift and accumulation of deleterious mutations is likely an inevitable consequence. In such cases, immigration (genetic rescue) is necessary to restore levels of genetic diversity and counteract inbreeding depression. Recent work in conservation genomics has studied these processes focusing on the genetic diversity of single nucleotide polymorphisms. In contrast, our knowledge about structural genomic variation (insertions, deletions, duplications and inversions) in endangered species is limited. We analysed whole-genome, short-read sequences from 212 wolves from the inbred Scandinavian population and from neighbouring populations in Finland and Russia, and detected >35,000 structural variants (SVs) after stringent quality and genotype frequency filtering; >26,000 high-confidence variants remained after manual curation. The majority of variants were shorter than 1 kb, with a distinct peak in the length distribution of deletions at 190 bp, corresponding to insertion events of SINE/tRNA-Lys elements. The site frequency spectrum of SVs in protein-coding regions was significantly shifted towards rare alleles compared to putatively neutral variants, consistent with purifying selection. The realized genetic load of SVs in protein-coding regions increased with inbreeding levels in the Scandinavian population, but immigration provided a genetic rescue effect by lowering the load and reintroducing ancestral alleles at loci fixed for derived SVs. Our study shows that structural variation comprises a common type of in part deleterious mutations in endangered species and that establishing gene flow is necessary to mitigate the negative consequences of loss of diversity.

Examining Previously Neglected Aspects of Ex Situ Gene Conservation in Two IUCN Threatened Plant Species: Rare Alleles, Redundancy, Ecogeographic Representativeness, and Relatedness

Examining Previously Neglected Aspects of Ex Situ Gene Conservation in Two IUCN Threatened Plant Species: Rare Alleles, Redundancy, Ecogeographic Representativeness, and Relatedness

Advances in the Study of Common and Rare CFTR Complex Alleles Using Intestinal Organoids.

Complex alleles (CAs) arise when two or more nucleotide variants are present on a single allele. CAs of the CFTR gene complicate the cystic fibrosis diagnosis process, classification of pathogenic variants, and determination of the clinical picture of the disease and increase the need for additional studies to determine their pathogenicity and modulatory effect in response to targeted therapy. For several different populations around the world, characteristic CAs of the CFTR gene have been discovered, although in general the prevalence and pathogenicity of CAs have not been sufficiently studied. This review presents examples of using intestinal organoid models for assessments of the two most common and two rare CFTR CAs in individuals with cystic fibrosis in Russia.

Genetic diversity, population structure analysis and codon substitutions of Indicine Badri cattle using ddRAD sequencing.

The present study was carried out on 96 animals representing three distinct colour variants of Badri cattle to investigate the genetic diversity, population structure and substitution mutations in the genetic codons due to single nucleotide variations. The DNA samples of 96 Badri cows were genotyped using a double digestion restriction associated DNA (ddRAD) sequencing approach. A standardized bioinformatics pipeline was employed to identify single nucleotide polymorphisms (SNPs), initially detecting 7,168,552 SNPs through alignment with the Bos indicus reference genome assembly. Subsequent stringent quality filtration yielded 65,483 high-confidence SNPs for downstream analysis. Genetic diversity analysis of the Badri cattle population resulted in average values of 0.145, 0.088, and 0.091 for Shannon's diversity Index (I), Simpson's Diversity (h), and Simpson's Unbiased Diversity (uh), respectively. Genetic similarities between the black and brown, black and grey, and brown and grey Badri variantswere found to be 0.9972, 0.9980 and 0.9970, respectively. Tajima's D diversity value was observed to be significant and positive for 99.29% of high-confidence SNPs (65,483). STRUCTURE analysis showed admixture among the three Badri colour variants, suggesting a lack of genetic differentiation. Annotation of high-confidence SNPs regarding genetic codon changes indicated maximum substitutions in the GGC with GGT (22 occurrences), followed by AAC to AGC (20 occurrences), GAA to TAA (19 occurrences) and CAA to CAG (19 occurrences). The study concludes there are genetic similarities among colour variants, lack of rare alleles, balancing selection, sudden population contraction and genetic codon substitutions within the Badri cattle population. Insights derived from SNP data analysis hold potential significance for conservation initiatives and breed improvement programs for indicine cattle.

Evaluation of the genetic basis of familial-associated early-onset hematologic cancers in an ancestral/ethnically diverse population.

Genetic predisposition to hematologic malignancies has historically been addressed utilizing patients recruited from clinical trials and pedigrees constructed at major treatment centers. Such efforts leave unexplored the genetic basis of variations in risk by race/ethnic group shown in population-based surveillance data where cancer registration, compulsory by law, delivers universal enrollment. To address this, we performed exome sequencing on DNA isolated from newborn bloodspots derived from sibling pairs with early-onset cancers across California in which at least one of the siblings developed a hematologic cancer, using unbiased recruitment from the full state population. We identified pathogenic/likely pathogenic (P/ LP) variants among 1,172 selected cancer genes that were private or present at low allele frequencies in reference populations. Within 64 subjects from 32 families, we found 9 LP variants shared between siblings, and an additional 7 such variants in singleton children (not shared with their sibling). In 8 of the shared cases, the ancestral origin of the local haplotype that carries P/LP variants matched the dominant global ancestry of study participant families. This was the case for Latino sibling pairs on FLG and CBLB, non-Latino White sibling pairs in TP53 and NOD2, and a shared GATA2 variant for a non-Latino Black sibling pair. A new inherited mutation in HABP2 was identified in a sibling pair, one with diffuse large B-cell lymphoma and the other with neuroblastoma. Overall, the profile of P/LP germline variants across ancestral/ethnic groups suggests that rare alleles contributing to hematologic diseases originate within their race/ethnic origin parental populations, demonstrating the value of this discovery process in diverse, population-based registries.

Recruiting refugees and migrants as potential hematopoietic stem cell donors to serve patients of comparable ethnicities with rare human leucocyte antigen patterns - The BluStar.NRW project in North Western Germany

Currently, approximately 19 million people with a migration background live in Germany. The majority of those descend from regions where the population has a genetically different distribution of HLA antigens when compared to the HLA frequencies usually found in North Western Europe. In case of severe haematological disorders of these individuals, allogeneic stem cell transplantation may be the treatment of choice. However, finding appropriate histocompatible hematopoietic stem cell donors continues to be a major challenge. If no matching sibling donors are available, there are only few suitable donors with a similar genetic background available in international blood stem cell donor registries.The “BluStar.NRW” project aimed to recruit new blood and hematopoietic stem cell donors with a migration background and to noticeably increase the number of suitable donors for patients within this group. Since December 2017, a total number of 9100 blood and stem cell donors with a migration background were recruited and typed for this project. HLA typing for HLA-A, -B, -C, -DRB1, -DQB1, and -DPB1 was performed by Next Generation Sequencing. We assessed the proportion of rare alleles according to HLA frequency tables, as defined by a frequency of <1:1000. The rare HLA allele frequencies according to HLA frequency tables of the BluStar.NRW cohort were compared with a matched control donor cohort: Rare HLA-A, -B, -C, -DRB1 and -DQB1 alleles occurred three times more frequent than in the control group, but rare HLA-DPB1 alleles occurred more frequently in the control cohort. This difference was highly significant for all HLA alleles (p < 0.0001 for HLA-A, -B, -C, -DRB1, -DPB1; p = 0.0002 for HLA-DQB1). In addition, the distribution of rare alleles differed between the two groups. To date, 29 work-ups were initiated, 12 PBSC, one BM and three DLI were collected so far out of the BluStar.NRW cohort. The apheresis probability is twofold higher (0.18% vs. 0.07%) compared to the control group which clearly shows a serious medical need. However, 13 work-ups were cancelled in the BluStar.NRW donor cohort which represents an almost twice as higher cancellation rate (45% vs. 25%).This single registry analysis with a large sample cohort clearly indicates that hematopoietic stem cell donors with a migration background represent an adequate donor pool to serve patients of comparable ethnicity.

The contributions of deleterious rare alleles in NLRP12 and inflammasome-related genes to polymyalgia rheumatica

Polymyalgia rheumatica (PMR) is a chronic inflammatory disease characterized by arthralgia and myalgia of the shoulder and hip girdles, and fever. PMR is linked to autoimmune diseases and autoinflammatory disorders. Exome sequencing has revealed the roles of rare variants in some diseases. Causative genes for monogenic autoinflammatory disorders might be candidate genes for the selective exome analysis of PMR. We investigated rare variants in the coding and boundary regions of candidate genes for PMR. Exome sequencing was performed to analyze deleterious rare variants in candidate genes, and the frequencies of the deleterious rare alleles in PMR were compared with those of Japanese population controls. Deleterious rare alleles in the NLRL12 gene were associated with PMR (P = 0.0069, Pc = 0.0415, odds ratio [OR] 4.49, 95% confidence interval [CI] 1.79–11.27). A multigene analysis demonstrated the deleterious rare allele frequency of the candidate genes for autoinflammatory disorders was also increased in PMR (P = 0.0016, OR 3.69, 95%CI 1.81–7.54). The deleterious rare allele frequencies of the candidate genes including NLRP12 were increased in PMR patients, showing links to autoinflammatory disorders in the pathogenesis of PMR.

ОСТЕОПЕНИЯ КАК ПРОЯВЛЕНИЕ ИДИОПАТИЧЕСКОЙ ГИПЕРКАЛЬЦИУРИИ У ДЕТЕЙ

Idiopathic hypercalciuria (IH) can lead to the development of osteopenia and osteoporosis in childhood. Vitamin D and its receptor, encoded by the VDR gene, play a major role in maintaining normal calcium levels in bone tissue. The purpose of the study: to study the state of bone mineral density in children with idiopathic hypercalciuria and the association of vitamin D receptor (VDR) gene polymorphisms with osteopenia. Materials and methods. The study included 35 children with IH aged 5 to 17 years with a history of fractures and/or decompensated caries. The children were subjected to X-ray densitometry to calculate the Z score in the lumbar spine and proximal femurs. A group of children with IH (n=20) underwent a study of the level of 25-OH vitamin D in blood plasma and a genetic study for the presence in genetic polymorphisms of the VDR gene: BsmI Polymorphism IVS10+283G&gt;A, A-3731G (Cdx2), FokI Polymorphism; Ex4+4T&gt;C. Results. A decrease in BMD was detected in 68.6% of children with IH, while 2 patients aged 15 and 17 years had signs of osteoporosis. The homozygous Ex4+4 CC genotype of the VDR (Fokl) gene was significantly more common in patients with idiopathic hypercalciuria. For the remaining genotypes of the VDR enzyme gene, no statistically significant differences could be detected (p&gt;0.05). Conclusion. Idiopathic hypercalciuria in children often leads to a decrease in bone mineral density, which should be taken into account when treating children with this pathology. A genetic predictor of osteopenia in children with IH may be the carriage of the homozygous genotype (rare allele) Ex4+4 CC of whose VDR (Fokl) gene, the study can be used for early diagnosis and prevention of the development of osteoporosis.

Deep Learning-Based HLA Allele Imputation Applicable to GWAS.

Human leukocyte antigen (HLA) imputation is an essential step following genome-wide association study, particularly when putative associations in HLA genes are identified, to fully understand the genetic basis of human traits. Different HLA imputation methods have been developed, each with its own advantages, and recent methods have been improved in terms of imputation accuracy and computational costs. Here, I describe Deep*HLA, a recently published method that employs deep learning algorithms to accurately impute HLA alleles from regional single nucleotide variants. Deep*HLA was trained and benchmarked on two reference panels of different ancestries. Deep*HLA achieved high imputation accuracy with relatively mild reduced imputation accuracy for rare alleles. I provide a detailed protocol for running Deep*HLA, including instructions for data preprocessing, model training, and imputation. Deep*HLA is implemented in Python 3 and is freely available.

Genetic diversity and fine-scale genetic structure of the conifer Podocarpus lambertii in a forest-grassland mosaic from Southern Brazil

Abstract Podocarpus lambertii (Podocarpaceae) is an endangered conifer, endemic to Brazil and occurring in continuous forest and forest-grassland landscapes from the Araucaria Forest. Aiming to support conservation efforts for P. lambertii populations and gain insights into the preservation of forest-grassland mosaics in southern Brazil, we assessed the spatial pattern, genetic diversity, and fine-scale genetic structure (FSGS) within a population situated in a forest-grassland mosaic. The study was conducted in a 9-ha plot in forest-grassland mosaic. All P. lambertii individuals with height ≥ 0.1 m were sampled and the population was stratified into four demographic categories (Seedling, Juvenile, Immature, and Reproductive). For each of these categories, we used 13 allozyme markers to evaluate the spatial pattern, genetic diversity and FSGS. All individuals occurred inside the forest-patches, presenting an aggregated pattern of distribution. Low genetic diversity was recorded for all categories and for the population ( H ⌢ E = 0.046 {\mathord{\buildrel{\lower3pt\hbox{$\scriptscriptstyle\frown$}}\over H} _E} = \,0.046 ), as well as a high number of rare alleles (20). Positive and significant FSGS was estimated only for the Juveniles ( θ ⌢ x y = 0.012 {\mathord{\buildrel{\lower3pt\hbox{$\scriptscriptstyle\frown$}}\over \theta } _{xy}} = \,0.012 ) up to maximum distance of 7.1 m, and the minimum viable area for the long-term conservation of Reproductive genetic diversity was approximately 68 ha. The set of our findings suggests that conservation actions need to enhance connectivity among forest-patches to prevent the loss of rare alleles due to genetic drift. Additionally, we highlight the significance of preserving forest-patches as repositories of species diversity and as crucial connectors between populations.