Genome-wide detection of human variants that disrupt intronic branchpoints.

Pre-messenger RNA splicing is initiated with the recognition of a single-nucleotide intronic branchpoint (BP) within a BP motif by spliceosome elements. Forty-eight rare variants in 43 human genes have been reported to alter splicing and cause disease by disrupting BP. However, until now, no computational approach was available to efficiently detect such variants in massively parallel sequencing data. We established a comprehensive human genome-wide BP database by integrating existing BP data and generating new BP data from RNA sequencing of lariat debranching enzyme DBR1-mutated patients and from machine-learning predictions. We characterized multiple features of BP in major and minor introns and found that BP and BP-2 (two nucleotides upstream of BP) positions exhibit a lower rate of variation in human populations and higher evolutionary conservation than the intronic background, while being comparable to the exonic background. We developed BPHunter as a genome-wide computational approach to systematically and efficiently detect intronic variants that may disrupt BP recognition. BPHunter retrospectively identified 40 of the 48 known pathogenic BP variants, in which we summarized a strategy for prioritizing BP variant candidates. The remaining eight variants all create AG-dinucleotides between the BP and acceptor site, which is the likely reason for missplicing. We demonstrated the practical utility of BPHunter prospectively by using it to identify a novel germline heterozygous BP variant of STAT2 in a patient with critical COVID-19 pneumonia and a novel somatic intronic 59-nucleotide deletion of ITPKB in a lymphoma patient, both of which were validated experimentally. BPHunter is publicly available from https://hgidsoft.rockefeller.edu/BPHunter and https://github.com/casanova-lab/BPHunter.

Summary statistics knockoffs inference with family-wise error rate control.

Testing multiple hypotheses of conditional independence with provable error rate control is a fundamental problem with various applications. To infer conditional independence with family-wise error rate (FWER) control when only summary statistics of marginal dependence are accessible, we adopt GhostKnockoff to directly generate knockoff copies of summary statistics and propose a new filter to select features conditionally dependent on the response. In addition, we develop a computationally efficient algorithm to greatly reduce the computational cost of knockoff copies generation without sacrificing power and FWER control. Experiments on simulated data and a real dataset of Alzheimer's disease genetics demonstrate the advantage of the proposed method over existing alternatives in both statistical power and computational efficiency.

A knowledge graph approach to predict and interpret disease-causing gene interactions.

BACKGROUND: Understanding the impact of gene interactions on disease phenotypes is increasingly recognised as a crucial aspect of genetic disease research. This trend is reflected by the growing amount of clinical research on oligogenic diseases, where disease manifestations are influenced by combinations of variants on a few specific genes. Although statistical machine-learning methods have been developed to identify relevant genetic variant or gene combinations associated with oligogenic diseases, they rely on abstract features and black-box models, posing challenges to interpretability for medical experts and impeding their ability to comprehend and validate predictions. In this work, we present a novel, interpretable predictive approach based on a knowledge graph that not only provides accurate predictions of disease-causing gene interactions but also offers explanations for these results. RESULTS: We introduce BOCK, a knowledge graph constructed to explore disease-causing genetic interactions, integrating curated information on oligogenic diseases from clinical cases with relevant biomedical networks and ontologies. Using this graph, we developed a novel predictive framework based on heterogenous paths connecting gene pairs. This method trains an interpretable decision set model that not only accurately predicts pathogenic gene interactions, but also unveils the patterns associated with these diseases. A unique aspect of our approach is its ability to offer, along with each positive prediction, explanations in the form of subgraphs, revealing the specific entities and relationships that led to each pathogenic prediction. CONCLUSION: Our method, built with interpretability in mind, leverages heterogenous path information in knowledge graphs to predict pathogenic gene interactions and generate meaningful explanations. This not only broadens our understanding of the molecular mechanisms underlying oligogenic diseases, but also presents a novel application of knowledge graphs in creating more transparent and insightful predictors for genetic research.

Characterization of De Novo Promoter Variants in Autism Spectrum Disorder with Massively Parallel Reporter Assays.

Autism spectrum disorder (ASD) is a common, complex, and highly heritable condition with contributions from both common and rare genetic variations. While disruptive, rare variants in protein-coding regions clearly contribute to symptoms, the role of rare non-coding remains unclear. Variants in these regions, including promoters, can alter downstream RNA and protein quantity; however, the functional impacts of specific variants observed in ASD cohorts remain largely uncharacterized. Here, we analyzed 3600 de novo mutations in promoter regions previously identified by whole-genome sequencing of autistic probands and neurotypical siblings to test the hypothesis that mutations in cases have a greater functional impact than those in controls. We leveraged massively parallel reporter assays (MPRAs) to detect transcriptional consequences of these variants in neural progenitor cells and identified 165 functionally high confidence de novo variants (HcDNVs). While these HcDNVs are enriched for markers of active transcription, disruption to transcription factor binding sites, and open chromatin, we did not identify differences in functional impact based on ASD diagnostic status.

Molecular heterogeneity in the substantia nigra: A roadmap for understanding PD motor pathophysiology.

As the ability to capture single-cell expression profiles has grown in recent years, neuroscientists studying a wide gamut of brain regions have discovered remarkable heterogeneity within seemingly related populations (Saunders et al., 2018a; Zeisel et al., 2015). These "molecular subtypes" have been demonstrated even within brain nuclei expressing the same neurotransmitter (Saunders et al., 2018a; Poulin et al., 2020; Ren et al., 2019; Okaty et al., 2020). Recently, dopamine (DA) neurons of the substantia nigra pars compacta (SNc) and adjacent ventral tegmental area (VTA) have been revealed to be diverse not only when comparing between these two dopaminergic nuclei, but within them, and with the distribution of identified subtypes often agnostic to traditional neuroanatomical boundaries (Saunders et al., 2018a; Hook et al., 2018; Kramer et al., 2018; La Manno et al., 2016; Poulin et al., 2014; Tiklova et al., 2019; Poulin et al., 2018). Such molecularly defined subpopulations have been the subject of several recent studies. Investigations of these subtypes have ultimately unveiled many distinctive properties across several domains, such as their axonal projections and functional properties (Poulin et al., 2018; Wu et al., 2019; Pereira Luppi et al., 2021; Evans et al., 2017; Evans et al., 2020). These key differences between subtypes have begun to corroborate the biological relevance of DA neuron taxonomic schemes. We hypothesize that these putative molecular subtypes, with their distinctive circuits, could shed light on the wide variety of dopamine-related symptoms observed across several diseases including depression, chronic pain, addiction, and Parkinson's Disease. While it is difficult to reconcile how a single neurotransmitter can be involved in so many seemingly unrelated phenotypes, one solution could be the existence of several individual dopaminergic pathways serving different functions, with molecular subtypes serving as distinct nodes for these pathways. Indeed, this conceptual framework is already the dogma for anatomically distinct DA pathways, including the mesocortical, mesolimbic and mesostriatal pathways (Bjorklund & Dunnett, 2007). Here, we discuss our existing knowledge of DA neuron subtypes and attempt to provide a roadmap for how their distinctive properties can provide novel insights into the motor symptoms of Parkinson's disease (PD) (Fig. 1A). By exploring the differences between molecular subtypes and correlating this to their relative degeneration within the SNc, we may gain a deeper understanding of the cell-intrinsic mechanisms underlying why some DA neurons degenerate more than others in PD. Similarly, by mapping the inputs, projections, and functions of individual subtypes, we may better understand their individual roles in the circuit-level dysfunction of dopaminergic diseases.

Identification of 4 novel human ocular coloboma genes ANK3, BMPR1B, PDGFRA, and CDH4 through evolutionary conserved vertebrate gene analysis.

PURPOSE: Ocular coloboma arises from genetic or environmental perturbations that inhibit optic fissure (OF) fusion during early eye development. Despite high genetic heterogeneity, 70% to 85% of patients remain molecularly undiagnosed. In this study, we have identified new potential causative genes using cross-species comparative meta-analysis. METHODS: Evolutionarily conserved differentially expressed genes were identified through in silico analysis, with in situ hybridization, gene knockdown, and rescue performed to confirm spatiotemporal gene expression and phenotype. Interrogation of the 100,000 Genomes Project for putative pathogenic variants was performed. RESULTS: Nine conserved differentially expressed genes between zebrafish and mouse were identified. Expression of zebrafish ank3a, bmpr1ba/b, cdh4, and pdgfaa was localized to the OF, periocular mesenchyme cells, or ciliary marginal zone, regions traversed by the OF. Knockdown of ank3, bmpr1b, and pdgfaa revealed a coloboma and/or microphthalmia phenotype. Novel pathogenic variants in ANK3, BMPR1B, PDGFRA, and CDH4 were identified in 8 unrelated coloboma families. We showed BMPR1B rescued the knockdown phenotype but variant messenger RNAs failed, providing evidence of pathogenicity. CONCLUSION: We show the utility of cross-species meta-analysis to identify several novel coloboma disease-causing genes. There is a potential to increase the diagnostic yield for new and unsolved patients while adding to our understanding of the genetic basis of OF morphogenesis.

Association of PICALM with Cognitive Impairment in Parkinson's Disease.

BACKGROUND: Cognitive impairment is one of the most disabling nonmotor symptoms in Parkinson's disease (PD). Recently, a genome-wide association study in Alzheimer's disease has identified the PICALM rs3851179 polymorphism as one of the most significant susceptibility genes for Alzheimer's disease after APOE. The aim of this study was to determine the potential role of PICALM and its genetic interaction with APOE in the development of cognitive decline in PD. METHODS: A discovery cohort of 712 patients with PD were genotyped for PICALM (rs3851179) and APOE (rs429358 and rs7412) polymorphisms. The association of PICALM and APOE-PICALM genetic interaction with cognitive dysfunction in PD was studied using logistic regression models, and the relationship of PICALM with cognitive decline onset was assessed with Cox regression analysis. PICALM effect was then replicated in an international, independent cohort (Parkinson's Progression Markers Initiative, N = 231). RESULTS: PICALM rs3851179 TT genotype was significantly associated with a decreased risk of cognitive impairment in PD (TT vs. CC + CT, P = 0.041, odds ratio = 0.309). Replication studies further demonstrated its protective effect on cognitive impairment in PD. In addition, the protective effect of the PICALM rs3851179 TT genotype was more pronounced in the APOE ε4 (-) carriers from the discovery cohort (P = 0.037, odds ratio = 0.241), although these results were not replicated in the Parkinson's Progression Markers Initiative cohort. CONCLUSIONS: Our results support the fact that PICALM is associated with cognitive impairment in PD. The understanding of its contribution to cognitive decline in PD could provide new targets for the development of novel therapies. © 2020 International Parkinson and Movement Disorder Society.

Problems and promises: How to tell the story of a Genome Wide Association Study?

The promise of treatments for common complex diseases (CCDs) is understood as an important force driving large scale genetics research over the last few decades. This paper considers the phenomenon of the Genome Wide Association Study (GWAS) via one high profile example, the Wellcome Trust Case Control Consortium (WTCCC). The WTCCC despite not fulfilling promises of new health interventions is still understood as an important step towards tackling CCDs clinically. The 'sociology of expectations' has considered many examples of failure to fulfil promises and the subsequent negative consequences including disillusionment, disappointment and disinvestment. In order to explore why some domains remain resilient in the face of apparent failure, I employ the concept of the 'problematic' found in the work of Giles Deleuze. This alternative theoretical framework challenges the idea that the failure to reach promised goals results in largely negative outcomes for a given field. I will argue that collective scientific action is motivated not only by hopes for the future but also by the drive to create solutions to the actual setbacks and successes which scientists encounter in their day-to-day work. I draw on eighteen interviews.

GBA Variants in Parkinson's Disease: Clinical, Metabolomic, and Multimodal Neuroimaging Phenotypes.

BACKGROUND: Alterations in the GBA gene (NM_000157.3) are the most important genetic risk factor for Parkinson's disease (PD). Biallelic GBA mutations cause the lysosomal storage disorder Gaucher's disease. The GBA variants p.E365K and p.T408M are associated with PD but not with Gaucher's disease. The pathophysiological role of these variants needs to be further explored. OBJECTIVE: This study analyzed clinical, neuropsychological, metabolic, and neuroimaging phenotypes of patients with PD carrying the GBA variants p.E365K and p.T408M. METHODS: GBA was sequenced in 56 patients with mid-stage PD. Carriers of GBA variants were compared with noncarriers regarding clinical history and symptoms, neuropsychological features, metabolomics, and multimodal neuroimaging. Blood plasma gas chromatography coupled to mass spectrometry, 6-[18 F]fluoro-L-Dopa positron emission tomography (PET), [18 F]fluorodeoxyglucose PET, and resting-state functional magnetic resonance imaging were performed. RESULTS: Sequence analysis detected 13 heterozygous GBA variant carriers (7 with p.E365K, 6 with p.T408M). One patient carried a GBA mutation (p.N409S) and was excluded. Clinical history and symptoms were not significantly different between groups. Global cognitive performance was lower in variant carriers. Metabolomic group differences were suggestive of more severe PD-related alterations in carriers versus noncarriers. Both PET scans showed signs of a more advanced disease; [18 F]fluorodeoxyglucose PET and functional magnetic resonance imaging showed similarities with Lewy body dementia and PD dementia in carriers. CONCLUSIONS: This is the first study to comprehensively assess (neuro-)biological phenotypes of GBA variants in PD. Metabolomics and neuroimaging detected more significant group differences than clinical and behavioral evaluation. These alterations could be promising to monitor effects of disease-modifying treatments targeting glucocerebrosidase metabolism. © 2020 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Analysis of disease organ as a novel phenotype towards disease genetics understanding.

Discerning the modular nature of human diseases through computational approaches calls for diverse data. The finding sites of diseases, like other disease phenotypes, possess rich information in understanding disease genetics. Yet, analysis of the rich knowledge of disease finding sites has not been comprehensively investigated. In this study, we built a large-scale disease organ network (DON) based on 76,561 disease-organ associations (for 37,615 diseases and 3492 organs) extracted from the United Medical Language System (UMLS) Metathesaurus. We investigated how phenotypic organ similarity among diseases in DON reflects disease gene sharing. We constructed a disease genetic network (DGN) using curated disease-gene associations and demonstrated that disease pairs with higher organ similarities not only are more likely to share genes, but also tend to share more genes. Based on community detection algorithm, we showed that phenotypic disease clusters on DON significantly correlated with genetic disease clusters on DGN. We compared DON with a state-of-art disease phenotype network, disease manifestation network (DMN), that we have recently constructed, and demonstrated that DON contains complementary knowledge for disease genetics understanding.

Multidimensional structure-function relationships in human ß-cardiac myosin from population-scale genetic variation.

Myosin motors are the fundamental force-generating elements of muscle contraction. Variation in the human ß-cardiac myosin heavy chain gene (MYH7) can lead to hypertrophic cardiomyopathy (HCM), a heritable disease characterized by cardiac hypertrophy, heart failure, and sudden cardiac death. How specific myosin variants alter motor function or clinical expression of disease remains incompletely understood. Here, we combine structural models of myosin from multiple stages of its chemomechanical cycle, exome sequencing data from two population cohorts of 60,706 and 42,930 individuals, and genetic and phenotypic data from 2,913 patients with HCM to identify regions of disease enrichment within ß-cardiac myosin. We first developed computational models of the human ß-cardiac myosin protein before and after the myosin power stroke. Then, using a spatial scan statistic modified to analyze genetic variation in protein 3D space, we found significant enrichment of disease-associated variants in the converter, a kinetic domain that transduces force from the catalytic domain to the lever arm to accomplish the power stroke. Focusing our analysis on surface-exposed residues, we identified a larger region significantly enriched for disease-associated variants that contains both the converter domain and residues on a single flat surface on the myosin head described as the myosin mesa. Notably, patients with HCM with variants in the enriched regions have earlier disease onset than patients who have HCM with variants elsewhere. Our study provides a model for integrating protein structure, large-scale genetic sequencing, and detailed phenotypic data to reveal insight into time-shifted protein structures and genetic disease.

Point-of-care whole-exome sequencing of idiopathic male infertility.

PURPOSE: Nonobstructive azoospermia (NOA) affects 1% of the male population; however, despite state-of-the-art clinical assessment, for most patients the cause is unknown. We capitalized on an analysis of multiplex families in the Middle East to identify highly penetrant genetic causes. METHODS: We used whole-exome sequencing (WES) in 8 consanguineous families and combined newly discovered genes with previously reported ones to create a NOA gene panel, which was used to identify additional variants in 75 unrelated idiopathic NOA subjects and 74 fertile controls. RESULTS: In five of eight families, we identified rare deleterious recessive variants in CCDC155, NANOS2, SPO11, TEX14, and WNK3 segregating with disease. These genes, which are novel to human NOA, have remarkable testis-specific expression, and murine functional evidence supports roles for them in spermatogenesis. Among 75 unrelated NOA subjects, we identified 4 (~5.3%) with additional recessive variants in these newly discovered genes and 6 with deleterious variants in previously reported NOA genes, yielding an overall genetic etiology for 13.3% subjects versus 0 fertile controls (p = 0.001). CONCLUSION: NOA affects millions of men, many of whom remain idiopathic despite extensive laboratory evaluation. The genetic etiology for a substantial fraction of these patients (>50% familial and >10% sporadic) may be discovered by WES at the point of care.

Polymorphisms in dopamine-associated genes and cognitive decline in Parkinson's disease.

OBJECTIVES: Cognitive decline is common in Parkinson's disease (PD), but the underlying mechanisms for this complication are incompletely understood. Genotypes affecting dopamine transmission may be of importance. This study investigates whether genotypes associated with reduced prefrontal dopaminergic tone and/or reduced dopamine D2-receptor availability (Catechol-O-methyltransferase [COMT] Val158 Met genotype and DRD2 C957 T genotype) affect the development of cognitive deficits in PD. MATERIALS AND METHODS: One hundred and 34 patients with idiopathic PD, participating in a regional, population-based study of incident parkinsonism, underwent genotyping. After extensive baseline investigations (including imaging and biomarker analyses), the patients were followed prospectively during 6-10 years with neuropsychological evaluations, covering six cognitive domains. Cognitive decline (defined as the incidence of either Parkinson's disease mild cognitive impairment [PD-MCI] or dementia [PDD], diagnosed according to published criteria and blinded to genotype) was studied as the primary outcome. RESULTS: Both genotypes affected cognition, as shown by Cox proportional hazards models. While the COMT 158 Val/Val genotype conferred an increased risk of mild cognitive impairment in patients with normal cognition at baseline (hazard ratio: 2.13, P = .023), the DRD2 957 T/T genotype conferred an overall increased risk of PD dementia (hazard ratio: 3.22, P < .001). The poorer cognitive performance in DRD2 957 T/T carriers with PD occurred mainly in episodic memory and attention. CONCLUSIONS: The results favor the hypothesis that dopamine deficiency in PD not only relate to mild cognitive deficits in frontostriatal functions, but also to a decline in memory and attention. This could indicate that dopamine deficiency impairs a wide network of brain areas.

Clinical and genetic risk factors for decreased bone mineral density in Japanese patients with inflammatory bowel disease.

BACKGROUND AND AIM: Patients with inflammatory bowel disease (IBD) are at a high risk of low bone mineral density (BMD). Reportedly, clinical and genetic factors cause low BMD in Caucasians; however, studies in non-Caucasian populations remain scarce. METHODS: Clinical risk factors for low BMD were investigated in 266 Japanese patients with IBD, and a genome-wide association analysis (GWAS) was performed using linear regression with associated clinical factors as covariates. Genotyping was performed using a population-optimized genotyping array (Japonica array® ). After quality control, the genotype data of 4 384 682 single-nucleotide polymorphisms (SNPs) from 254 patients with IBD were used for GWAS. RESULTS: Body mass index, age, and disease duration were independently associated with the BMD of the femoral neck (P = 1.41E - 13, 1.04E - 5, and 1.58E - 3, respectively), and body mass index and sex were associated with the BMD of the lumbar spine (P = 6.90E - 10 and 6.84E - 3, respectively). In GWAS, 118 and 42 candidate SNPs of the femoral neck and lumbar spine, respectively, were identified. Among 118, 111 candidate SNPs of the femoral neck were located within the SLC22A23 gene, which is a known IBD susceptibility gene (minimum P = 1.42E - 07). Among 42, 18 candidate SNPs of the lumbar spine were located within the MECOM gene, which is associated with osteopenia (minimum P = 5.86E - 07). Interestingly, none of the known loci showed a significant association with BMD. CONCLUSIONS: Although clinical risk factors for low BMD in IBD were similar to those in the general population, genetic risk factors were rather different.

Germline genetic variants with implications for disease risk and therapeutic outcomes.

Genetic testing has multiple clinical applications including disease risk assessment, diagnosis, and pharmacogenomics. Pharmacogenomics can be utilized to predict whether a pharmacologic therapy will be effective or to identify patients at risk for treatment-related toxicity. Although genetic tests are typically ordered for a distinct clinical purpose, the genetic variants that are found may have additional implications for either disease or pharmacology. This review will address multiple examples of germline genetic variants that are informative for both disease and pharmacogenomics. The discussed relationships are diverse. Some of the agents are targeted for the disease-causing genetic variant, while others, although not targeted therapies, have implications for the disease they are used to treat. It is also possible that the disease implications of a genetic variant are unrelated to the pharmacogenomic implications. Some of these examples are considered clinically actionable pharmacogenes, with evidence-based, pharmacologic treatment recommendations, while others are still investigative as areas for additional research. It is important that clinicians are aware of both the disease and pharmacogenomic associations of these germline genetic variants to ensure patients are receiving comprehensive personalized care.

Glucuronic Acid Epimerase (GLCE) Variant rs3865014 (A>G) Is Associated with BMI, Blood Hemoglobin, Hypertension, and Cerebrovascular Events, the TAMRISK Study.

Heparan sulfate proteoglycans modulate many physiological systems, and genes responsible for proteoglycan assembly and disassembly may affect their interaction. We sought to determine whether polymorphisms of the glucuronic acid epimerase (GLCE) rs3865014 and sulfatase-2 (SULF2) rs2281279, genes coding for enzymes participating in heparan sulfate side chain activity, associate with hypertension, selected cardiometabolic risk factors and cardiovascular events in the Tampere adult population cardiovascular risk study. A Finnish cohort of 339 subjects with diagnosed hypertension and 441 controls was analyzed. Samples were genotyped for GLCE rs3865014 (A>G) and SULF2 rs2281279 (T>C) polymorphisms using competitive allele-specific PCR (KASP) technique. Prevalence of ischemic heart diseases (I20-I25) and incidence of cerebrovascular diseases (I60-I69) and transient cerebral ischemic attacks (TIA) (G45) were followed up until the subjects were on the average 60 years old. GLCE rs3865014 G allele showed negative association with hypertension (p = 0.022), waist circumference (p = 0.032), BMI (p = 0.048), and positive association with hemoglobin (p = 0.029), low-density lipoprotein cholesterol (p = 0.031), and frequency of cerebrovascular events (p = 0.011). SULF2 rs2281279 showed no association with the studied parameters. The GLCE gene polymorphism rs3865014 appears to have biological relevance in human pathophysiology.

Genetic Polymorphisms of Transcription Factor NRF2 and of its Host Gene Sulfiredoxin (SRXN1) are Associated with Cerebrovascular Disease in a Finnish Cohort, the TAMRISK Study.

Oxidative stress is involved in the pathophysiology of many cardiovascular disorders, such as hypertension and atherosclerosis. NRF2 is the primary transcriptional regulator of several antioxidant genes, including that of sulfiredoxin (SRXN1). The association of genotypes of NRF2 and SRXN1 with cardiovascular conditions was studied in a Finnish cohort of 336 subjects with diagnosed hypertension and 480 normotensive controls from the Tampere adult population cardiovascular risk study (TAMRISK). Samples were genotyped for four SNPs (rs1962142, rs2706110, rs6721961 and rs6706649) in the NRF2 gene region and four SNPs (rs6053666, rs6116929, rs2008022, rs6085283) in the SRXN1 gene region using Competitive Allele Specific PCR (KASP) technique. Cardiovascular diseases were followed up from 2005 to 2014 using the Finnish National Hospital Discharge Registry (HILMO). Four out of eight studied polymorphisms: rs6721961, rs1962142, rs2706110 of NRF2, and rs6053666 of SRXN1 were associated with cerebrovascular disease. NRF2 polymorphism rs6721961 showed association with hypertension. NRF2 and SRXN1 polymorphisms, previously thought to be associated with human disease, appear to be associated particularly with cerebrovascular disease.

African-American TOMM40'523-APOE haplotypes are admixture of West African and Caucasian alleles.

BACKGROUND: Several studies have demonstrated a lower apolipoprotein E4 (APOE ε4) allele frequency in African-Americans, but yet an increased age-related prevalence of AD. An algorithm for prevention clinical trials incorporating TOMM40'523 (Translocase of Outer Mitochondria Membrane) and APOE depends on accurate TOMM40'523-APOE haplotypes. METHODS: We have compared the APOE and TOMM40'523 phased haplotype frequencies of a 9.5 kb TOMM40/APOE genomic region in West African, Caucasian, and African-American cohorts. RESULTS: African-American haplotype frequency scans of poly-T lengths connected in phase with either APOE ε4 or APOE ε3 differ from both West Africans and Caucasians and represent admixture of several distinct West African and Caucasian haplotypes. A new West African TOMM40'523 haplotype, with APOE ε4 connected to a short TOMM40'523 allele, is observed in African-Americans but not Caucasians. CONCLUSION: These data have therapeutic implications for the age of onset risk algorithm estimates and the design of a prevention trial for African-Americans or other mixed ethnic populations.

The NOD2insC polymorphism is associated with worse outcome following ileal pouch-anal anastomosis for ulcerative colitis.

BACKGROUND: Inflammatory complications after ileal pouch-anal anastomosis (IPAA) for ulcerative colitis (UC) are common. OBJECTIVE: To investigate whether genetic factors are associated with adverse pouch outcomes such as chronic pouchitis (CP) and a Crohn's disease-like (CDL) phenotype. DESIGN: 866 patients were recruited from three centres in North America: Mount Sinai Hospital (Toronto, Ontario, Canada), the Cleveland Clinic (Cleveland, Ohio, USA) and Penn State Milton S Hershey Medical Center (Hershey, Pennsylvania, USA). DNA and clinical and demographic information were collected. Subjects were classified into post-surgical outcome groups: no chronic pouchitis (NCP), CP and CDL phenotype. RESULTS: Clinical and genetic data were available on 714 individuals. 487 (68.2%) were classified as NCP, 118 (16.5%) CP and 109 (15.3%) CDL. The presence of arthritis or arthropathy (p=0.02), primary sclerosing cholangitis (p=0.009) and duration of time from ileostomy closure to recruitment (p=0.001) were significantly associated with outcome. The NOD2insC (rs2066847) risk variant was the single nucleotide polymorphism (SNP) most significantly associated with pouch outcome (p=7.4×10(-5)). Specifically, it was associated with both CP and CDL in comparison with NCP (OR=3.2 and 4.3, respectively). Additionally, SNPs in NOX3 (rs6557421, rs12661812), DAGLB (rs836518) and NCF4 (rs8137602) were shown to be associated with pouch outcome with slightly weaker effects. A multivariable risk model combining previously identified clinical (smoking status, family history of inflammatory bowel disease), serological (anti-Saccharomyces cerevisiae antibody IgG, perinuclear antineutrophil cytoplasmic antibody and anti-CBir1) and genetic markers was constructed and resulted in an OR of 2.72 (p=8.89×10(-7)) for NCP versus CP/CDL and 3.22 (p=4.11×10(-8)) for NCP versus CDL, respectively. CONCLUSION: Genetic polymorphisms, in particular, the NOD2insC risk allele, are associated with chronic inflammatory pouch outcomes among patients with UC and IPAA.

Genetic Insights Into Leukemia Susceptibility in the Arab Population: A Scoping Review.

As per the Global Cancer Observatory, the WHO Eastern Mediterranean region (which includes the Arabic countries) ranks highest for age-standardized mortality rate at 4 per 100,000, thus indicating a probable role of genetic associations. Identifying the genes associated with leukemia in the Arab population is crucial for effective preventive and treatment strategies. This scoping review aimed to determine the nature and extent of research available on the genes associated with the major types of leukemia among the Arab population. As per the scoping review guidelines, a comprehensive search was conducted in PUBMED and Google Scholar for articles published before 01/10/2023 and focused on leukemia-related genes among the Arab population. In total 119 studies, focusing on genes associated with leukemia met the inclusion criteria. On reviewing these studies, 27 genes were found to be associated with ALL, 33 genes with AML, seven genes with CLL, and 14 genes with CML. The majority of these genes were associated with an increased risk for the disease. Notably, the 119 studies covered only nine out of the 22 Arab countries, with 56 studies carried out in Egypt, exhibiting an imbalance in the regional distribution of the research landscape. Thus, indicating the inadequacy of research on leukemia genetics in the Arab region in comparison to the Western studies. This finding highlights the need for extensive research in the Middle Eastern region to gain geographically heterogeneous genetic information about the Arab population. In conclusion, this scoping study highlights the genes associated with the major types of leukemia among the Arab population and also indicates the need for comprehensive and regionally balanced research on leukemia genetics in Middle Eastern countries. Addressing this gap is essential to provide robust genetic data that can be used for targeted interventions to improve leukemia outcomes in the Middle East. Increased research efforts in all Middle Eastern countries will contribute to a greater understanding of genetic predisposition and help develop effective prevention strategies and treatments tailored to this population.