Association Of Variants Research Articles

Whole genome sequencing based analysis of inflammation biomarkers in the Trans-Omics for Precision Medicine (TOPMed) consortium.

Inflammation biomarkers can provide valuable insight into the role of inflammatory processes in many diseases and conditions. Sequencing based analyses of such biomarkers can also serve as an exemplar of the genetic architecture of quantitative traits. To evaluate the biological insight, which can be provided by a multi-ancestry, whole-genome based association study, we performed a comprehensive analysis of 21 inflammation biomarkers from up to 38 465 individuals with whole-genome sequencing from the Trans-Omics for Precision Medicine (TOPMed) program (with varying sample size by trait, where the minimum sample size was n = 737 for MMP-1). We identified 22 distinct single-variant associations across 6 traits-E-selectin, intercellular adhesion molecule 1, interleukin-6, lipoprotein-associated phospholipase A2 activity and mass, and P-selectin-that remained significant after conditioning on previously identified associations for these inflammatory biomarkers. We further expanded upon known biomarker associations by pairing the single-variant analysis with a rare variant set-based analysis that further identified 19 significant rare variant set-based associations with 5 traits. These signals were distinct from both significant single variant association signals within TOPMed and genetic signals observed in prior studies, demonstrating the complementary value of performing both single and rare variant analyses when analyzing quantitative traits. We also confirm several previously reported signals from semi-quantitative proteomics platforms. Many of these signals demonstrate the extensive allelic heterogeneity and ancestry-differentiated variant-trait associations common for inflammation biomarkers, a characteristic we hypothesize will be increasingly observed with well-powered, large-scale analyses of complex traits.

Association of Very Rare NOTCH2 Variants with Clinical Features of Alagille Syndrome.

Alagille syndrome (ALGS) is a rare autosomal dominant genetic disease caused by pathogenic variants in two genes: Jagged Canonical Notch Ligand 1 (JAG1) and Notch Receptor 2 (NOTCH2). It is characterized by phenotypic variability and incomplete penetrance with multiorgan clinical signs. Using Next Generation Sequencing (NGS), we analyzed a panel of liver-disease-related genes in a population of 230 patients with cholestasis and hepatopathies. For the rare variants, bioinformatics predictions and pathogenicity classification were performed. We identified eleven rare NOTCH2 variants in 10 patients, two variants being present in the same patient. Ten variants had never been described before in the literature. It was possible to classify only two null variants as pathogenic, whereas the most of variants were missense (8 out of 11) and were classified as uncertain significance variants (USVs). Among patients with ALGS suspicion, two carried null variants, two carried variants predicted to be pathogenic by bioinformatics, one carried a synonymous variant and variants in glycosylation-related genes, and two carried variants predicted as benign in the PEST domain. Our results increased the knowledge about NOTCH2 variants and the related phenotype, allowing us to improve the genetic diagnosis of ALGS.

Lack of genetic evidence for NLRP3 inflammasome involvement in Parkinson’s disease pathogenesis

Activation of the NLRP3 inflammasome has been implicated in Parkinson’s disease (PD) based on in vitro and in vivo studies. Clinical trials targeting the NLRP3 inflammasome in PD are ongoing. However, the evidence supporting NLRP3’s involvement in PD from human genetics data is limited. We analyzed common and rare variants in NLRP3 inflammasome-related genes in PD cohorts, performed pathway-specific polygenic risk score (PRS) analyses, and studied causal associations using Mendelian randomization (MR) with the NLRP3 components and the cytokines IL-1β and IL-18. Our findings showed no associations of common or rare variants, nor of the pathway PRS with PD. MR suggests that altering the expression of the NLRP3 inflammasome, IL-1β, or IL-18, does not affect PD risk or progression. Therefore, our results do not support a role for the NLRP3 inflammasome in PD pathogenesis or as a target for drug development.

Hemoglobin polymorphism and its association with morphometric and egg production traits in Ethiopian indigenous and Sasso chicken breeds.

The present study investigated the biochemical polymorphism of hemoglobin (Hb) and its relationship with performance traits of Ethiopian indigenous and Sasso chicken breeds. A total of 284 chickens reared in three agro-ecologies were examined for genetic diversity and associations with productive traits at Hb locus using agarose gel electrophoresis. The results showed that the HbA allele was dominant in both breeds, and a higher proportion of male chickens were HbAA genotypes, while females were predominantly HbBB types. In the highland agro-ecology, chickens with the HbAA genotype were the most dominant, whereas in mid- and low-land agro-ecologies, chickens with HbBB and HbAB genotypes were found to be more frequent. A moderate level of expected heterozygosity was obtained with 0.47 and 0.445 for indigenous and Sasso chickens, respectively, with an average effective number of alleles per locus of 1.89 and 1.80. Moreover, chickens with HbAA genotypes showed significantly (p ≤ 0.05) higher body weight and linear body measurements than those of HbAB and HbBB genotypes. However, for appendage body structures (comb and wattle dimensions), chickens with the HbAB and HbBB genotypes had higher mean values. Additionally, clutch size (14.2 ± 0.4), clutch length (21.8 ± 0.7), and eight-month egg production (84.1 ± 1.2) were significantly (p ≤ 0.05) higher for hens with HbBB genotypes, followed by those with HbAB-types. Therefore, the considerable hemoglobin variability and significant associations of Hb variants with the performance traits can be sought as guiding information for further genetic improvement interventions in the chicken breeds under investigation. Further microsatellite marker-based genotyping is recommended to validate the higher morphometric values for HbAA genotypes and the better egg production for HbBB and HbAB genotypes.

Assessment of ability of AlphaMissense to identify variants affecting susceptibility to common disease.

An important issue in the analysis of rare variant association studies is the ability to annotate nonsynonymous variants in terms of their likely importance as affecting protein function. To address this, AlphaMissense was recently released and was shown to have good performance using benchmarks based on variants causing severe disease and on functional assays. Here, we assess the performance of AlphaMissense across 18 genes which had previously demonstrated association between rare coding variants and hyperlipidaemia, hypertension or type 2 diabetes. The strength of evidence in favour of association, expressed as the signed log p value (SLP), was compared between AlphaMissense and 43 other annotation methods. The results demonstrated marked variability between genes regarding the extent to which nonsynonymous variants contributed to evidence for association and also between the performance of different methods of annotating the nonsynonymous variants. Although AlphaMissense produced the highest SLP on average across genes, it produced the maximum SLP for only 4 genes. For some genes, other methods produced a considerably higher SLP and there were examples of genes where AlphaMissense produced no evidence for association while another method performed well. The marked inconsistency across genes means that it is difficult to decide on an optimal method of analysis of sequence data. The fact that different methods perform well for different genes suggests that if one wished to use sequence data for individual risk prediction then gene-specific annotation methods should be used.

Abstract Mo078: Identifying Genetic Determinants of Phytosterol Levels: A Genome-Wide Association and Meta-Analysis Study Unveils a New Locus Influencing Campesterol Serum Concentrations

Background: Sitosterolemia, a rare inherited disorder, stems from mutations in the ABCG5/ABCG8 genes, which play a critical role in plant sterol transport. These genetic anomalies result in reduced phytosterol excretion, causing an accumulation in the body that can lead to serious health issues, such as premature coronary artery disease. Hypothesis: The study aimed to uncover the genetic determinants influencing plant sterol levels within the Middle East/North Africa (MENA) population, focusing on individuals from Qatar. It hypothesized that unique genetic variations might influence these levels, contributing to the development of sitosterolemia. Aims: To conduct the first genome-wide association study (GWAS) in the MENA region to identify genetic variants affecting plant sterol levels in the Qatari population, and to compare these findings with those from populations of European ancestry. Methods: The study utilized the Metabolon platform for analyzing serum levels of β-sitosterol and campesterol, combined with genome sequence data from the Qatar Genome Program. A trans-ancestry meta-analysis compared our findings with those from a large European cohort, while conditional analysis helped identify specific single nucleotide polymorphisms (SNPs) associated with these sterols. Results: The research identified two independent SNPs related to β-sitosterol ((rs145164937 and rs4299376) and two to campesterol (rs7598542 and rs75901165) in the Qatari population, alongside previously reported variants ( P <5.0 ×10 -8 ) .Notably, one variant (rs75901165) was located in the Intraflagellar Transport 43 (IFT43) gene, diverging from the common ABCG5/8 locus. The study also supported the association of variants in the SCARB1 and ABO genes with sitosterolemia and assessed a polygenic risk score's efficacy based on European GWAS data in the Qatari cohort. Conclusion(s): The findings underscore the significance of conducting population-specific genetic research to understand better and manage conditions like sitosterolemia. This research highlights the importance of personalized treatment approaches for hyperlipidemia and the value of establishing comprehensive multi-omics databases tailored to specific populations.

Bayesian Rare Variant Analysis Identifies Novel Schizophrenia Putative Risk Genes.

The genetics of schizophrenia is so complex that it involves both common variants and rare variants. Rare variant association studies of schizophrenia are challenging because statistical methods for rare variant analysis are under-powered due to the rarity of rare variants. The recent Schizophrenia Exome meta-analysis (SCHEMA) consortium, the largest consortium in this field to date, has successfully identified 10 schizophrenia risk genes from ultra-rare variants by burden test, while more risk genes remain to be discovered by more powerful rare variant association test methods. In this study, we use a recently developed Bayesian rare variant association method that is powerful for detecting sparse rare risk variants that implicates 88 new candidate risk genes associated with schizophrenia from the SCHEMA case-control sample. These newly identified genes are significantly enriched in autism risk genes and GO enrichment analysis indicates that new candidate risk genes are involved in mechanosensory behavior, regulation of cell size, neuron projection morphogenesis, and plasma-membrane-bounded cell projection morphogenesis, that may provide new insights on the etiology of schizophrenia.

Genetic associations with human longevity are enriched for oncogenic genes.

Human lifespan is shaped by both genetic and environmental exposures and their interaction. To enable precision health, it is essential to understand how genetic variants contribute to earlier death or prolonged survival. In this study, we tested the association of common genetic variants and the burden of rare non-synonymous variants in a survival analysis, using age-at-death (N = 35,551, median [min, max] = 72.4 [40.9, 85.2]), and last-known-age (N = 358,282, median [min, max] = 71.9 [52.6, 88.7]), in European ancestry participants of the UK Biobank. The associations we identified seemed predominantly driven by cancer, likely due to the age range of the cohort. Common variant analysis highlighted three longevity-associated loci: APOE, ZSCAN23, and MUC5B. We identified six genes whose burden of loss-of-function variants is significantly associated with reduced lifespan: TET2, ATM, BRCA2, CKMT1B, BRCA1 and ASXL1. Additionally, in eight genes, the burden of pathogenic missense variants was associated with reduced lifespan: DNMT3A, SF3B1, CHL1, TET2, PTEN, SOX21, TP53 and SRSF2. Most of these genes have previously been linked to oncogenic-related pathways and some are linked to and are known to harbor somatic variants that predispose to clonal hematopoiesis. A direction-agnostic (SKAT-O) approach additionally identified significant associations with C1orf52, TERT, IDH2, and RLIM, highlighting a link between telomerase function and longevity as well as identifying additional oncogenic genes. Our results emphasize the importance of understanding genetic factors driving the most prevalent causes of mortality at a population level, highlighting the potential of early genetic testing to identify germline and somatic variants increasing one's susceptibility to cancer and/or early death.

A comprehensive study evaluating germline FANCG variants in predisposition to breast and ovarian cancer.

Monoallelic germline pathogenic variants (GPVs) in five Fanconi anemia (FA) genes (BRCA1/FANCS, BRCA2/FANCD1, PALB2/FANCN, BRIP1/FANCJ, and RAD51C/FANCO) confer an increased risk of breast (BC) and/or ovarian (OC) cancer, but the role of GPVs in 17 other FA genes remains unclear. Here, we investigated the association of germline variants in FANCG/XRCC9 with BC and OC risk. The frequency of truncating GPVs in FANCG did not differ between BC (20/10,204; 0.20%) and OC (8/2966; 0.27%) patients compared to controls (6/3250; 0.18%). In addition, only one out of five tumor samples showed loss-of-heterozygosity of the wild-type FANCG allele. Finally, none of the nine functionally tested rare recurrent missense FANCG variants impaired DNA repair activities (FANCD2 monoubiquitination and FANCD2 foci formation) upon DNA damage, in contrast to all tested FANCG truncations. Our study suggests that heterozygous germline FANCG variants are unlikely to contribute to the development of BC or OC.

Association of CTLA-4 (AT)n Variants in Basal Cell Carcinoma and Squamous Cell Carcinoma Patients from Western Mexico.

The incidence of basal cell carcinoma (BCC) and squamous cell carcinoma (SCC) is constantly increasing, becoming a significant health problem. CTLA-4 is a critical immune checkpoint, and it has been suggested that a variant of variable-number tandem repeat in the 3'-UTR of its gene, known as (AT)n, may be associated with a higher susceptibility to some cancers; however, little is known about genetic variants of the CTLA-4 gene in NMSC. To establish the association of this genetic variant in the CTLA-4 gene with the susceptibility of NMSC carcinogenesis in the Western Mexican population, samples from 150 BCC patients, 150 SCC patients, and 150 healthy individuals as the reference group (RG) were analyzed by endpoint PCR, followed by electrophoresis to genotype the samples. We found that the short-repeat 104/104 bp genotype may be a risk factor for BBC carcinogens (OR = 2.92, p = 0.03), whereas the long-repeat 106/106 bp genotype may be a protective factor for both BCC (OR = 0.13, p = 0.01) and SCC (OR = 0.32, p = 0.01) susceptibility. Our results show that in the Western Mexican population, long-repeat (AT)n variants in the CTLA-4 gene are associated with a protective factor in BCC and SCC. In contrast, short repeats are associated with a risk factor.

Genome-wide association study and meta-analysis of phytosterols identifies a novel locus for serum levels of campesterol

Sitosterolemia is a rare inherited disorder caused by mutations in the ABCG5/ABCG8 genes. These genes encode proteins involved in the transport of plant sterols. Mutations in these genes lead to decreased excretion of phytosterols, which can accumulate in the body and lead to a variety of health problems, including premature coronary artery disease. We conducted the first genome-wide association study (GWAS) in the Middle East/North Africa population to identify genetic determinants of plant sterol levels in Qatari people. GWAS was performed on serum levels of β-sitosterol and campesterol using the Metabolon platform from Qatar Biobank (QBB) and genome sequence data provided by Qatar Genome Program. A trans-ancestry meta-analysis of data from our Qatari cohort with summary statistics from a previously published large cohort (9758 subjects) of European ancestry was conducted. Using conditional analysis, we identified two independent single nucleotide polymorphisms associated with β-sitosterol (rs145164937 and rs4299376), and two others with campesterol (rs7598542 and rs75901165) in the Qatari population in addition to previously reported variants. All of them map to the ABCG5/8 locus except rs75901165 which is located within the Intraflagellar Transport 43 (IFT43) gene. The meta-analysis replicated most of the reported variants, and our study provided significant support for the association of variants in SCARB1 and ABO with sitosterolemia. Evaluation of a polygenic risk score devised from European GWAS data showed moderate performance when applied to QBB (adjusted-R2 = 0.082). These findings provide new insights into the genetic architecture of phytosterol metabolism while showing the importance including under-represented populations in future GWAS studies.

Testing Reported Associations of Gene Variants with Non-Syndromic Orofacial Clefts in the Polish Population.

Orofacial clefts (OFCs) are the second most common birth defect worldwide. The etiology of OFCs involves complex interactions between genetics and environment. Advances in genomic technologies have identified gene variants associated with OFCs. This study aimed to investigate whether selected SNPs in the MYH9, MTHFR, MAFB, and SUMO1 genes influence the occurrence of non-syndromic OFCs in the Polish population. The study included 209 individuals with non-syndromic OFCs and 418 healthy controls. Saliva and umbilical cord blood samples were collected for DNA extraction. Four SNPs in the MYH9, MTHFR, MAFB, and SUMO1 genes were genotyped using real-time PCR-based TaqMan assays. Statistical analysis was performed using logistic regression to assess the association between SNPs and OFCs. A significant association was found between the rs7078 CC polymorphism and OFCs (OR = 3.22, CI 1.68-6.17, p < 0.001). No significant associations were identified for the rs1081131, rs13041247, and rs3769817 polymorphisms. The research indicates that the rs7078 polymorphism significantly influences the occurrence of orofacial cleft palate in the Polish population, whereas the rs3769817, rs1801131, and rs13041247 SNPs do not show such a correlation.

Genetic polymorphisms to identify patients with an optimal response to tildrakizumab in psoriasis patients from real-life clinical practice.

Detecting the association of genetic variants to the response of biological therapy represents an important advance in developing a personalized therapy. The aim of this work was to study the association of polymorphisms with an optimal response to tildrakizumab in patients with psoriasis in a real-life clinical practice. Ninety patients with plaque psoriasis recruited from-Spanish hospitals receiving tildrakizumab for at least 24 weeks were genotyped for 180 polymorphisms. Optimal response to tildrakizumab was evaluated by absolute PASI ≤1 at 6 and 12 months. Polymorphisms corrected for weight and disease duration with an FDR <0.15 were included in a multiple regression model. Sixty three percent of patients achieved an absolute PASI ≤1 at 6 months, while 71% did so after 12 months. Disease duration (>27 years) and weight (>76 kg) were associated with treatment response; after correcting by these factors, no association (FDR >0.15) was found for any polymorphism and response to tildrakizumab at 6 months. The analysis at 12 months identified the genotype GG for rs610604 (TNFAIP3), CT for rs9373839 (ATG5), and delCTGT/delCTGT for rs72167053 (PDE4D) as risk factors to not achieve an optimal response (PASI ≤1), while CT for rs708567 (IL17RC) was protective, independently of weight and disease duration (FDR <0.15). The final multivariable model at 12 months showed an AUC of 0.90 (95% CI 0.82 to -0.98). We identified a set of polymorphisms that could be helpful to identify psoriatic patients with an optimal response to tildrakizumab at 12 months in real-world practice conditions.

Genomic analysis reveals the association of KIT and MITF variants with the white spotting in swamp buffaloes

BackgroundSwamp-type buffaloes with varying degrees of white spotting are found exclusively in Tana Toraja, South Sulawesi, Indonesia, where spotted buffalo bulls are highly valued in accordance with the Torajan customs. The white spotting depigmentation is caused by the absence of melanocytes. However, the genetic variants that cause this phenotype have not been fully characterized. The objective of this study was to identify the genomic regions and variants responsible for this unique coat-color pattern.ResultsGenome-wide association study (GWAS) and selection signature analysis identified MITF as a key gene based on the whole-genome sequencing data of 28 solid and 39 spotted buffaloes, while KIT was also found to be involved in the development of this phenotype by a candidate gene approach. Alternative candidate mutations included, in addition to the previously reported nonsense mutation c.649 C > T (p.Arg217*) and splice donor mutation c.1179 + 2T > A in MITF, a nonsense mutation c.2028T > A (p.Tyr676*) in KIT. All these three mutations were located in the genomic regions that were highly conserved exclusively in Indonesian swamp buffaloes and they accounted largely (95%) for the manifestation of white spotting. Last but not the least, ADAMTS20 and TWIST2 may also contribute to the diversification of this coat-color pattern.ConclusionsThe alternative mutations identified in this study affect, at least partially and independently, the development of melanocytes. The presence and persistence of such mutations may be explained by significant financial and social value of spotted buffaloes used in historical Rambu Solo ceremony in Tana Toraja, Indonesia. Several de novo spontaneous mutations have therefore been favored by traditional breeding for the spotted buffaloes.

Deciphering the genomic insights into the coexistence of congenital scoliosis and congenital anomalies of the kidney and urinary tract.

Congenital scoliosis and congenital anomalies of the kidney and urinary tract are distinct genetic disorders with differing clinical manifestations. Clinically, their coexistence is not rare, but the etiologies of these complex diseases remain largely unknown, especially their shared genetic basis. We sequenced the genomes of 40 individuals diagnosed with both CS and CAKUT, alongside 2,764 controls from a Chinese Han population cohort. Our analyses encompassed gene-based and pathway-based weighted rare variant association tests, complemented by copy number variant association analyses, aiming to unravel the shared genomic etiology underlying these congenital conditions. Gene-based analysis identified PTPN11 as a pivotal gene influencing both skeletal and urinary system development (P = 1.95E-21), participating in metabolic pathways, especially the MAPK/ERK pathway known to regulate skeletal and urinary system development. Pathway-based enrichment showed a significant signal in the MAPK/ERK pathway (P = 3E-04), reinforcing the potential role of PTPN11 and MAPK/ERK pathway in both conditions. Additionally, CNV analysis pinpointed IGFLR1 haploinsufficiency as a potential influential factor in the combined CS-CAKUT phenotypic spectrum. This study enriches our understanding of the intricate genomic interplay underlying congenital scoliosis and kidney and urinary tract anomalies, emphasizing the shared genetic foundations between these two disorders.

Biochemical investigation of association of arsenic exposed polymorphic variants and disease susceptibility

Our study aimed to establish the association of polymorphic variants and disease susceptibility in arsenic-induced metabolic disorders raised due to the variability of arsenic methylation in human population exposed to arsenic in drinking water. Water samples were systematically collected from various regions of Faisalabad, Pakistan, and subjected to arsenic quantification through inductively coupled plasma emission spectrophotometry (ICP-OES). The groundwater exhibited significantly elevated arsenic concentrations (68.18 ± 21.28 μg/L) in comparison to both water and sanitation agency Faisalabad (WASA)-supplied water (9.81 ± 1.2 μg/L) and locally filtered water (8.12 ± 1.42 μg/L), as determined by one-way ANOVA followed by Bonferroni's post-test at P < 0.05. An association was established between arsenic concentration and the incidence of disease, such as diabetes mellitus. A cohort of 120 participants residing in six areas of District Faisalabad was recruited. Urine and blood specimens were collected for analysis. Urine samples underwent ICP-MS analysis in helium collision mode, utilizing germanium as an internal standard. Blood samples were collected for biomarker assessments, including HbA1c, BUN, creatinine, CRP, ALT, AST, GSH, SOD, and MDA, to investigate the evidence of diabetes mellitus. Urinary arsenic concentrations were found to be considerably higher (P < 0.05) in about 22.50 % of the participants, with a mean value of 68.43 ± 16.73 ppb. Biomarker analysis in these participants revealed mean values for BUN (37.19 ± 2.87 mg/dL), creatinine (2.58 ± 0.18 mg/dL), IL-6 (11.35 ± 6.98 pg/mL), CRP (1.90 ± 0.26 mg/dL), MDA (3.70 ± 0.18 nmol/mL), ALT (40.27 ± 5.41 U/L), and AST (38.92 ± 4.72 U/L). Furthermore, the gender-based analysis indicated the higher levels of DMA, MMA, TAs, and TiAs in males compared to females when urine samples were analyzed with HPLC-ICP-MS. Participants with the positive genotype of GSTM exhibited significantly higher levels of TAs, and TiAs concentration in their urine than those with the null genotype of GSTM. Moreover, participants with positive genotypes for GSTT1 and GSTM1 demonstrated elevated levels of DMA in their urine compared to those with genotypes of GSTT1 (−) and GSTM1 (−), although this difference did not attain statistical significance. Participants with the genotype of GSTT1 (+) displayed a considerably higher secondary methylation index than those with genotype of GSTT1 (−). MMA and DMA levels were found to be correlated with the genotypes of GSTT1 and GSTM1 and the amounts of TAs in urine. In conclusion, our findings suggest a linkage between arsenic methylation, particularly levels of DMA and SMI, and GSTT1 and GSTM1 polymorphisms.

Shared genetic etiology of vessel diseases: A genome-wide multi-traits association analysis

BackgroundThe comorbidity among vascular diseases has been widely reported, however, the contribution of shared genetic components remains ambiguous. MethodsBased on genome-wide association study summary statistics, we employed statistical genetics methodologies to explore the shared genetic basis of eight vascular diseases: coronary artery disease, abdominal aortic aneurysm, ischemic stroke, peripheral artery disease, thoracic aortic aneurysm, phlebitis, varicose veins, and venous thromboembolism. We assessed global and local genetic correlations among these disorders by linkage disequilibrium score regression, high-definition likelihood, and local analysis of variant association. Cross-trait analyses conducted with CPASSOC identified pleiotropic variants and loci. Further, biological pathways at the multi-omics level were explored using multimarker analysis of genomic annotation, transcriptome-wide and proteome-wide association studies. Causal associations among the vascular diseases were evaluated by mendelian randomization and latent causal variable to assess vertical pleiotropic effects. ResultsWe found significant global genetic associations in 18 pairs of vascular diseases. Additionally, we discovered 317 unique genomic regions where at least one pair of traits demonstrated significant correlation. Multi-trait association analysis identified 19,361 significant potential pleiotropic variants in 274 independent pleiotropic loci. Multi-trait colocalization analysis revealed 56 colocalized loci in specific disease sets. Gene-based analysis identified 700 potential pleiotropic genes, which were subsequently validated at both transcriptome and protein levels. Gene-set enrichment analysis supports the role of biological pathways such as vessel wall structure, coagulation and lipid transport in vascular disease. Additionally, 7 pairs of vascular diseases have a causal relationship. ConclusionsOur study indicates a shared genetic basis and the presence of common risk genes among vascular diseases. These findings offer novel insights into potential mechanisms underlying the association between vascular diseases, as well as provide guidance for interventions and treatments of multi-vascular conditions.

Identification of GTF2I Polymorphisms as Potential Biomarkers for CKD in the Han Chinese Population : Multicentric Collaborative Cross-Sectional Cohort Study.

Chronic kidney disease (CKD) poses a global health challenge, but its molecular mechanisms are poorly understood. Genetic factors play a critical role, and phenome-wide association studies (PheWAS) and genome-wide association studies (GWAS) shed light on CKD's genetic architecture, shared variants, and biological pathways. Using data from the multicenter collaborative precision medicine cohort, we conducted a retrospective prospectively maintained cross-sectional study. Participants with comprehensive information and genotyping data were selected, and GWAS and PheWAS analyses were performed using the curated Taiwan Biobank version 2 array to identify CKD-associated genetic variants and explore their phenotypic associations. Among 58,091 volunteers, 8,420 participants were enrolled. Individuals with CKD exhibited higher prevalence of metabolic, cardiovascular, autoimmune, and nephritic disorders. Genetic analysis unveiled two closely linked SNPs, rs117026326 and rs73366469, both associated with GTF2I and CKD (r2=0.64). Further examination revealed significant associations between these SNPs and various kidney-related diseases. The CKD group showed a higher proportion of individuals with specific genotypes (CT/TT for rs117026326 and CT/CC for rs73366469), suggesting potential associations with CKD susceptibility(p<0.001). Furthermore, individuals with these genotypes developed CKD at an earlier age. Multiple logistic regression confirmed the independent association of these genetic variants with CKD. Subgroup analysis based on estimated glomerular filtration rate (eGFR) demonstrated an increased risk of CKD among carriers of the rs117026326 CT/TT genotypes (OR=1.15, 95% CI: 1.07-1.24, p<0.001; OR=1.32; 95% CI: 1.04-1.66, p=0.02, respectively) and carriers of the rs73366469 CT/CC genotypes (OR=1.13, 95% CI=1.05-1.21, p<0.001; OR=1.31, 95% CI: 1.08-1.58, p=0.0049, respectively). Additionally, men had a higher CKD risk than women at lower eGFR levels (OR=1.35, 95%: 1.13-1.61, p<0.001). Our study reveals important links between genetic variants GTF2I and susceptibility to CKD, advancing our understanding of CKD development in the Taiwanese population and suggesting potential for personalized prevention and management strategies. More research is needed to validate and explore these variants in diverse populations.

Analysis of 14,392 whole genomes reveals 3.5% of Qataris carry medically actionable variants.

Arabic populations are underrepresented in large genome projects; therefore, the frequency of clinically actionable variants among Arabs is largely unknown. Here, we investigated genetic variation in 14,392 whole genomes from the Qatar Genome Program (QGP) across the list of 78 actionable genes (v3.1) determined by the American College of Medical Genetics and Genomics (ACMG). Variants were categorized into one of the following groups: (1) Pathogenic (P), (2) Likely pathogenic (LP), and (3) Rare variants of uncertain significance with evidence of pathogenicity. For the classification, we used variant databases, effect predictors, and the disease-relevant phenotypes available for the cohort. Data on cardiovascular disease, cancer, and hypercholesterolemia allowed us to assess the disease-relevant phenotype association of rare missense variants. We identified 248 distinct variants in 50 ACMG genes that fulfilled our criteria to be included in one of the three groups affecting 1036 genotype-positive participants of the QGP cohort. The most frequent variants were in TTN, followed by RYR1 and ATP7B. The prevalence of reportable secondary findings was 3.5%. A further 46 heterozygous variants in six genes with an autosomal recessive mode of inheritance were detected in 200 individuals, accounting for an additional 1.4%. Altogether, they affect 5% of the population. Due to the high consanguinity rate in the QGP cohort (28% in spouses and 60% in parents), P and LP variants both in genes with dominant and recessive inheritance are important for developing better treatment options and preventive strategies in Qatar and the Arabic population of the Middle East.

A Polynesian-specific SLC22A3 variant associates with low plasma lipoprotein(a) concentrations independent of apo(a) isoform size in males.

Lipoprotein(a) (Lp(a)) is a low-density lipoprotein (LDL)-like particle in which the apolipoprotein B component is covalently linked to apolipoprotein(a) (apo(a)). Lp(a) is a well-established independent risk factor for cardiovascular diseases. Plasma Lp(a) concentrations vary enormously between individuals and ethnic groups. Several nucleotide polymorphisms in the SLC22A3 gene associate with Lp(a) concentration in people of different ethnicities. We investigated the association of a Polynesian-specific (Māori and Pacific peoples) SLC22A3 gene coding variant p.Thr44Met) with the plasma concentration of Lp(a) in a cohort of 302 healthy Polynesian males. An apo(a)-size independent assay assessed plasma Lp(a) concentrations; all other lipid and apolipoprotein concentrations were measured using standard laboratory techniques. Quantitative real-time polymerase chain reaction was used to determine apo(a) isoforms. The range of metabolic (HbA1c, blood pressure, and blood lipids) and blood lipid variables were similar between the non-carriers and carriers in age, ethnicity and BMI adjusted models. However, rs8187715 SLC22A3 variant was significantly associated with lower Lp(a) concentrations. Median Lp(a) concentration was 10.60 nmol/L (IQR: 5.40-41.00) in non-carrier group, and was 7.60 nmol/L (IQR: 5.50-12.10) in variant carrier group (P<0.05). Lp(a) concentration inversely correlated with apo(a) isoform size. After correction for apo(a) isoform size, metabolic parameters and ethnicity, the association between the SLC22A3 variant and plasma Lp(a) concentration remained. The present study is the first to identify the association of this gene variant and low plasma Lp(a) concentrations. This provides evidence for better guidance on ethnic specific cut-offs when defining 'elevated' and 'normal' plasma Lp(a) concentrations in clinical applications.