Exploring genetic associations of Crohn's disease and ulcerative colitis with extraintestinal cancers in European and East Asian populations.

Background: Previous studies have reported associations of Crohn's disease (CD) and ulcerative colitis (UC) with the risks of extraintestinal cancers, but the causality remains unclear. Methods: Using genetic variations robustly associated with CD and UC extracted from genome-wide association studies (GWAS) as instrumental variables. Nine types of extraintestinal cancers of European and Asian populations were selected as outcomes. We used the inverse variance weighted method as the primary approach for two-sample Mendelian randomization analysis. Sensitivity analyses were carried out to evaluate the reliability of our findings. Results: In the European population, we found that CD showed a potential causal relationship with pancreatic cancer (OR: 1.1042; 95% CI: 1.0087-1.2088; P=0.0318). Meanwhile, both CD (outliers excluded: OR: 1.0208; 95% CI: 1.0079-1.0339; P=0.0015) and UC (outliers excluded: OR: 1.0220; 95% CI: 1.0051-1.0393; P=0.0108) were associated with a slight increase in breast cancer risk. Additionally, UC exhibited a potential causal effect on cervical cancer (outliers excluded: OR: 1.1091; 95% CI: 1.0286-1.1960; P=0.0071). In the East Asian population, CD had significant causal effects on pancreatic cancer (OR: 1.1876; 95% CI: 1.0741-1.3132; P=0.0008) and breast cancer (outliers excluded: OR: 0.9452; 95% CI: 0.9096-0.9822; P=0.0040). For UC, it exhibited significant causal associations with gastric cancer (OR: 1.1240; 95% CI: 1.0624-1.1891; P=4.7359×10-5), bile duct cancer (OR: 1.3107; 95% CI: 1.0983-1.5641; P=0.0027), hepatocellular carcinoma (OR: 1.2365; 95% CI: 1.1235-1.3608; P=1.4007×10-5) and cervical cancer (OR: 1.3941; 95% CI: 1.1708-1.6599; P=0.0002), as well as a potential causal effect on lung cancer (outliers excluded: OR: 1.1313; 95% CI: 1.0280-1.2449; P=0.0116). Conclusions: Our study provided evidence that genetically predicted CD may be a risk factor for pancreatic and breast cancers in the European population, and for pancreatic cancer in the East Asian population. Regarding UC, it may be a risk factor for cervical and breast cancers in Europeans, and for gastric, bile duct, hepatocellular, lung, and cervical cancers in East Asians. Therefore, patients with CD and UC need to emphasize screening and prevention of site-specific extraintestinal cancers.

A web-based genome-wide association study reveals the susceptibility loci of common adverse events following COVID-19 vaccination in the Japanese population.

The coronavirus disease 2019 (COVID-19) pandemic has spread rapidly worldwide. To prevent its spread, mRNA-based vaccines made by Pfizer/BioNTech (BNT162b1) and Moderna (mRNA-1273) have been widely used, including in Japan. Various adverse events have been reported following the COVID-19 mRNA vaccination, with differences observed among individuals. However, analyses of the genetic background associated with the susceptibility to side effects have been limited. In the present study, we performed genome-wide association studies (GWAS) for self-reported adverse events of the COVID-19 mRNA vaccination in 4545 Japanese individuals and identified 14 associated loci. Among these, 6p21 was associated with 37.5 °C or higher fever, 38 °C or higher fever, and muscle pain. HLA allele association analysis revealed that various HLA alleles were associated with the adverse effects; HLA-DQA1*03:01 and HLA-A*11:01 were more reliably associated with the adverse effects. Our results may enable the preparation and management of adverse effects by identifying the susceptibility to these adverse events. Furthermore, we obtained valuable data that may lead to a better understanding of the mechanisms of action of the COVID-19 mRNA vaccines.

Improving genetic risk prediction across diverse population by disentangling ancestry representations.

Risk prediction models using genetic data have seen increasing traction in genomics. However, most of the polygenic risk models were developed using data from participants with similar (mostly European) ancestry. This can lead to biases in the risk predictors resulting in poor generalization when applied to minority populations and admixed individuals such as African Americans. To address this issue, largely due to the prediction models being biased by the underlying population structure, we propose a deep-learning framework that leverages data from diverse population and disentangles ancestry from the phenotype-relevant information in its representation. The ancestry disentangled representation can be used to build risk predictors that perform better across minority populations. We applied the proposed method to the analysis of Alzheimer's disease genetics. Comparing with standard linear and nonlinear risk prediction methods, the proposed method substantially improves risk prediction in minority populations, including admixed individuals, without needing self-reported ancestry information.

Association between a single nucleotide polymorphism of the ALOX5 gene and susceptibility to multisystem tuberculosis in a Chinese Han population.

BACKGROUND: Host genetic single nucleotide polymorphisms can exert an influence susceptibility to tuberculosis infection. Previous investigations have demonstrated an association between the polymorphism in the ALOX5 gene and a range of diseases, encompassing not only noninfectious conditions like asthma, acute myocardial infarction, and cerebral infarction but also infections caused by various pathogens. However, the relationship between ALOX5 gene polymorphism and susceptibility to tuberculosis has received limited research attention. The ALOX5 gene encodes arachidonic acid 5-lipoxygenase(5-LO), which serves as the initiating catalyst in the generation of the inflammatory mediator leukotriene. Leukotrienes, products derived from the 5-LO pathway, are potent proinflammatory lipid mediators that assume a pivotal role in tuberculosis infections.Consequently, ALOX5 gene variants may be intricately associated with the pathogenesis of tuberculosis. In instances where the host exhibits immunocompromisation, infection with Mycobacterium tuberculosis can impact multiple systems. The involvement of multiple systems significantly augments the complexity of treatment and escalates patient mortality rates. Regrettably, the underlying mechanisms driving multisystem tuberculosis pathogenesis remain enigmatic, with clinicians paying scant attention to this aspect. Although the protein encoded by the ALOX5 gene represents a pivotal enzyme that catalyzes the metabolism of arachidonic acid into LXA4, and thereby plays a significant role in the inflammatory response during tuberculosis infection, studies investigating ALOX5 gene polymorphism and its association with susceptibility to multisystem tuberculosis in the Chinese Han population are exceptionally scarce. Therefore, the primary objective of this study is to comprehensively examine the correlation between ALOX5 gene polymorphisms and susceptibility to tuberculosis within the Chinese Han population, with particular emphasis on multisystemic tuberculosis. METHODS: A case‒control study design was employed, encompassing 382 individuals with pulmonary tuberculosis and 367 individuals with multisystemic tuberculosis as the case groups, along with 577 healthy controls.Whole blood DNA was extracted from all patients and healthy controls. Subsequently, three tag polymorphisms (rs2029253, rs7896431, rs2115819) within the ALOX5 gene were selectively identified and genotyped. RESULTS: After adjusting for age and sex, the presence of allele A at rs2029253 exhibited a pronounced association with an elevated risk of TB susceptibility when compared to the tuberculosis group and healthy control group. (ORa: 2.174, 95% CI: 1.827-2.587; Pa<0.001, respectively). Notably, the rs2029253 AG genotype and AA genotype displayed a significantly increased susceptibility to tuberculosis (ORa: 2.236, 95% CI: 1.769-2.825; Pa <0.001 and ORa: 4.577, 95% CI: 2.950-7.100; Pa <0.001, respectively) compared to the GG genotype. Moreover, in the analysis utilizing genetic models, rs2029253 also exhibited a markedly heightened susceptibility to tuberculosis in additive models, dominant models, and recessive models (Pa <0.001). Conversely, no significant association was observed between rs7896431, rs2115819, and tuberculosis. In the subgroup analysis, when comparing the pulmonary tuberculosis group with the healthy control group, we observed no significant disparities in the distribution frequencies of alleles, genotypes, and gene models (additive model, dominant model, and recessive model) for the three tag SNPs, with P-values were >0.05 after adjusting for age and sex. Additionally, we noted that the presence of allele A at rs2029253 was linked to an increased susceptibility to tuberculosis in the multisystemic tuberculosis group relative to the healthy control group (ORa: 2.292, 95% CI: 1.870-2.810; Pa<0.001). Similarly, the rs2029253 AG genotype, AA genotype, and gene models, including the additive model, dominant model, and recessive model, demonstrated a significantly elevated risk of tuberculosis susceptibility. CONCLUSIONS: The polymorphism in the ALOX5 gene is associated with susceptibility to multisystemic tuberculosis in the Chinese Han population.

TPH2-703 G/T polymorphism is associated with stress, depression, and psychosocial symptoms in mentally healthy Mexicans.

Tryptophan hydroxylase (TPH) catalyzes the rate-limiting step of serotonin synthesis. TPH2 is the brain-specific isoform of this enzyme, and genetic variations in the TPH2 gene have been shown to impact its transcription and enzymatic activity and are associated with mood disorders. In this study we focused on the rs4570625 (-703G/T) single nucleotide polymorphism of TPH2 gene. By using conventional polymerase chain reaction (PCR), we examined the effect of this polymorphism on stress, anxiety, and depression symptoms as well as quality of life, evaluated based on the Holmes-Rahe Inventory, the Beck Anxiety Inventory, the Beck Depression Inventory, and the World Health Organization Quality of Life - Short Version, respectively. We found that individuals with the homozygous recessive T/T genotype had lower stress and depression scores. In addition, the quality of life in the psychological health domain was better in males with the T/T genotype. These results suggest that T/T genotype could decrease the susceptibility to developing stress and depression in the Mexican population without a diagnosis for an emotional disorder.

Leveraging trans-ethnic genetic risk scores to improve association power for complex traits in underrepresented populations.

Trans-ethnic genome-wide association studies have revealed that many loci identified in European populations can be reproducible in non-European populations, indicating widespread trans-ethnic genetic similarity. However, how to leverage such shared information more efficiently in association analysis is less investigated for traits in underrepresented populations. We here propose a statistical framework, trans-ethnic genetic risk score informed gene-based association mixed model (GAMM), by hierarchically modeling single-nucleotide polymorphism effects in the target population as a function of effects of the same trait in well-studied populations. GAMM powerfully integrates genetic similarity across distinct ancestral groups to enhance power in understudied populations, as confirmed by extensive simulations. We illustrate the usefulness of GAMM via the application to 13 blood cell traits (i.e. basophil count, eosinophil count, hematocrit, hemoglobin concentration, lymphocyte count, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, mean corpuscular volume, monocyte count, neutrophil count, platelet count, red blood cell count and total white blood cell count) in Africans of the UK Biobank (n = 3204) while utilizing genetic overlap shared in Europeans (n = 746 667) and East Asians (n = 162 255). We discovered multiple new associated genes, which had otherwise been missed by existing methods, and revealed that the trans-ethnic information indirectly contributed much to the phenotypic variance. Overall, GAMM represents a flexible and powerful statistical framework of association analysis for complex traits in underrepresented populations by integrating trans-ethnic genetic similarity across well-studied populations, and helps attenuate health inequities in current genetics research for people of minority populations.

Hypermethylation at CREBBP Is Associated with Cognitive Impairment in a Mexican American Cohort.

BACKGROUND: The aging Mexican American (MA) population is the fastest growing ethnic minority group in the US. MAs have a unique metabolic-related risk for Alzheimer's disease (AD) and mild cognitive impairment (MCI), compared to non-Hispanic whites (NHW). This risk for cognitive impairment (CI) is multifactorial involving genetics, environmental, and lifestyle factors. Changes in environment and lifestyle can alter patterns and even possibly reverse derangement of DNA methylation (a form of epigenetic regulation). OBJECTIVE: We sought to identify ethnicity-specific DNA methylation profiles that may be associated with CI in MAs and NHWs. METHODS: DNA obtained from peripheral blood of 551 participants from the Texas Alzheimer's Research and Care Consortium was typed on the Illumina Infinium® MethylationEPIC chip array, which assesses over 850K CpG genomic sites. Within each ethnic group (N = 299 MAs, N = 252 NHWs), participants were stratified by cognitive status (control versus CI). Beta values, representing relative degree of methylation, were normalized using the Beta MIxture Quantile dilation method and assessed for differential methylation using the Chip Analysis Methylation Pipeline (ChAMP), limma and cate packages in R. RESULTS: Two differentially methylated sites were significant: cg13135255 (MAs) and cg27002303 (NHWs) based on an FDR p < 0.05. Three suggestive sites obtained were cg01887506 (MAs) and cg10607142 and cg13529380 (NHWs). Most methylation sites were hypermethylated in CI compared to controls, except cg13529380 which was hypomethylated. CONCLUSION: The strongest association with CI was at cg13135255 (FDR-adjusted p = 0.029 in MAs), within the CREBBP gene. Moving forward, identifying additional ethnicity-specific methylation sites may be useful to discern CI risk in MAs.

Genetic Risk, Neighborhood Characteristics, and Behavioral Difficulties Among African American Adolescents Living in Very Low-Income Neighborhoods.

Behavioral difficulties among African American youth are disproportionately detrimental to their future well-being compared to when demonstrated by White American youth. The majority of gene-environment studies of behavior have been conducted with European ancestry samples, limiting our knowledge of these processes among African Americans. This study examined the influence of positive and negative neighborhood conditions, in the context of genetic risk, on behavioral difficulties among low-income African American adolescents. Data were from the Genes, Environment, and Neighborhood Initiative study of African American youth in high-poverty neighborhoods, n = 524, M age = 15.89, SD = 1.42. DNA samples were collected using the Oragene Discovery 500 series, and polygenic risk scores for behavioral difficulties computed. Neighborhood informal social control, social cohesion, physical disorder, and social disorder were assessed. Adolescent alcohol use, hyperactivity/inattention and conduct problems were examined as outcomes. After controlling for polygenic risk, lower levels of neighborhood social disorder and higher levels of social cohesion were associated with fewer youth-reported hyperactivity/inattention and conduct problems. Less social disorder also was associated with fewer parent-reported behavioral difficulties. Neighborhood characteristics did not moderate associations between genetic risk and the outcomes. Higher levels of positive and lower levels of negative neighborhood characteristics can be associated with lower levels of behavioral difficulties among African American youth living in poverty, even after taking into account genetic risk.

African ancestry GWAS of dementia in a large military cohort identifies significant risk loci.

While genome wide association studies (GWASs) of Alzheimer's Disease (AD) in European (EUR) ancestry cohorts have identified approximately 83 potentially independent AD risk loci, progress in non-European populations has lagged. In this study, data from the Million Veteran Program (MVP), a biobank which includes genetic data from more than 650,000 US Veteran participants, was used to examine dementia genetics in an African descent (AFR) cohort. A GWAS of Alzheimer's disease and related dementias (ADRD), an expanded AD phenotype including dementias such as vascular and non-specific dementia that included 4012 cases and 18,435 controls age 60+ in AFR MVP participants was performed. A proxy dementia GWAS based on survey-reported parental AD or dementia (n = 4385 maternal cases, 2256 paternal cases, and 45,970 controls) was also performed. These two GWASs were meta-analyzed, and then subsequently compared and meta-analyzed with the results from a previous AFR AD GWAS from the Alzheimer's Disease Genetics Consortium (ADGC). A meta-analysis of common variants across the MVP ADRD and proxy GWASs yielded GWAS significant associations in the region of APOE (p = 2.48 × 10-101), in ROBO1 (rs11919682, p = 1.63 × 10-8), and RNA RP11-340A13.2 (rs148433063, p = 8.56 × 10-9). The MVP/ADGC meta-analysis yielded additional significant SNPs near known AD risk genes TREM2 (rs73427293, p = 2.95 × 10-9), CD2AP (rs7738720, p = 1.14 × 10-9), and ABCA7 (rs73505251, p = 3.26 × 10-10), although the peak variants observed in these genes differed from those previously reported in EUR and AFR cohorts. Of the genes in or near suggestive or genome-wide significant associated variants, nine (CDA, SH2D5, DCBLD1, EML6, GOPC, ABCA7, ROS1, TMCO4, and TREM2) were differentially expressed in the brains of AD cases and controls. This represents the largest AFR GWAS of AD and dementia, finding non-APOE GWAS-significant common SNPs associated with dementia. Increasing representation of AFR participants is an important priority in genetic studies and may lead to increased insight into AD pathophysiology and reduce health disparities.

A microRNA binding site polymorphism in the 3' UTR region of VEGF-A gene modifies colorectal cancer risk based on ethnicity: a meta-analysis.

BACKGROUND: Vascular endothelial growth factor A (VEGF-A) plays an integral role in angiogenesis by contributing to growth, development, and metastasis of solid tumors. Recently, a single-nucleotide polymorphism +936C/T located in the VEGF-A 3' untranslated region (UTR) facilitated the susceptibility of colorectal cancer. The association between VEGF-A gene polymorphism +936C/T and colorectal cancer risk has been widely studied in the last decade, but presently, the results furnished remain enigmatic. Hence, the study aimed to investigate the association between VEGF-A +936C/T miRNA binding site polymorphism and the risk of developing colorectal cancer. METHODS: This meta-analysis included 13 published case-control studies covering 3465 cases (colorectal cancer) and 3476 healthy controls. Publication bias was examined by means of Begg's funnel plots and Egger's regression tests. The quality of the studies included was evaluated using Newcastle-Ottawa scale. Subgroup analyses were performed in accordance to the various ethnicities of the study subjects and the study quality. RESULTS: From the data obtained, it is implied that VEGF-A +936C/T polymorphism did not correlate with elevated colorectal cancer risk in all genetic models. But the results acquired from the subgroup analysis in over dominant model (CT vs. CC + TT: OR = 1.5047, 95% CI = 1.19-1.90) suggest that VEGF-A +936C/T polymorphism leads to the raise in the risk of developing CRC among the East Asian population. No association was observed in Caucasian and South Asian population. CONCLUSIONS: Our results indicate that VEGF-A +936C/T polymorphism is not a risk factor for developing CRC in Caucasian and South Asian population. However, the East Asian population was related to an increased risk of developing colorectal cancer due to the presence of the minor allele.

Genome-wide association study of serum tumor markers in Southern Chinese Han population.

BACKGROUND: Serum indicators AFP, CA50, CA125, CA153, CA19-9, CEA, f-PSA, SCC-Ag have been confirmed as tumor markers (TMs). We conducted a genome-wide association study on 8 tumor markers of our 427 Han population in southern China, in order to identify genetic loci that are significantly associated with the level of 8 tumor markers. METHODS: We use Gene Titan multi-channel instrument and Axiom Analysis Suite 6.0 software for genotyping. We used IMPUTE2 software for imputation, and 1000 Genomes Project (Phase 3) was used as haplotype reference. After necessary quality control and statistical analysis, genetic loci genome-wide associated with TMs (p < 5E-8) will be identified. Finally, we selected Top SNPs (p < 5E-7) from the GWAS results for replication test. We used SPSS software to draw the distribution box plots of serum TMs under different genotypes of significant loci. RESULTS: The results showed that there were only MUC1 (mucin 1)-rs4072037 significantly genome-wide associated with CA153 (p = 1.28E-18). However, we found that a total of 30 genetic loci have a suggestively significant genome-wide association with the level of 8 serum tumor markers (p < 5E-6). Then 3 Top SNPs (p < 5E-7) were selected for replication verification. The results showed that MUC1-rs4072037 was still significantly associated with CA153 in another population (p = 3.73E-08). Comparing with the TT genotype of rs4072037, the CA153 level was higher under CC or CT genotype of rs4072037. CONCLUSION: MUC1-rs4072037 is significantly genome-wide associated with CA153 level. There are 30 genetic loci suggestively genome-wide associated with level of tumor markers among the Han population from Southern China.

Polymorphisms of the Vitamin D Receptor Gene and Sex-Differential Associations with Lipid Profiles in Chinese Han Adults.

OBJECTIVE: To explore the association of single nucleotide polymorphisms (SNPs) of the vitamin D receptor gene ( VDR) with circulating lipids considering gender differences. METHODS: Of the Han Chinese adults recruited from a health examination center for inclusion in the study, the circulating lipids, 25-hydroxyvitamin D (25OHD), and other parameters were measured. The VDR SNPs of Cdx2 (rs11568820), Fok1 (rs2228570), Apa1 (rs7975232), and Taq1 (rs731236) were genotyped with a qPCR test using blood DNA samples, and their associations with lipids were analyzed using logistic regression. RESULTS: In the female participants ( n = 236 with dyslipidemia and 888 without dyslipidemia), multiple genotype models of Fok1 indicated a positive correlation of B (not A) alleles with LDLC level ( P < 0.05). In the male participants ( n = 299 with dyslipidemia and 564 without dyslipidemia), the recessive model of Cdx2 and the additive and recessive models of Fok1 differed ( P < 0.05) between the HDLC-classified subgroups, respectively, and Fok1 BB and Cdx2 TT presented interactions with 25OHD in the negative associations with HDLC ( P < 0.05). CONCLUSION: In the Chinese Han adults included in the study, the Fok1 B-allele of VDR was associated with higher LDLC in females, and the Fok1 B-allele and the Cdx2 T-allele of VDR were associated with lower HDLC in males. The interaction of VD and Fok1 BB or Cdx2 TT in males synergistically decreased HDLC levels.

Association between VDR Gene Polymorphisms and Melanoma Susceptibility in a Colombian Population.

BACKGROUND: The vitamin D receptor (VDR) is responsible for mediating the effects of vitamin D through regulation of other gene transcriptions. There are several polymorphisms that alter the gene expression or the function of this protein. We aimed to analyze the association between two SNPs  of VDR gene and melanoma cancer in Colombian patients. METHODS: We included 120 healthy individual as controls and 120 melanoma cancer patients as cases . Patients in both groups were matched in terms of gender and age. The genotyping of rs731236 and rs2228570 polymorphisms was performed using PCR-RFLP. The SNPStats program was used to carry out the statistical analysis through a logistic regression model. RESULTS: Under dominant model, we found that rs2228570 polymorphism was associated with melanoma cancer risk (C/C vs C/T-T/T, OR: 5.10, 95% CI: 2.85-9.14), whereas rs731236 polymorphism was associated with a protective effect against this cancer (T/T vs T/C, OR: 0.27, 95% CI: 0.14-0.53). CONCLUSION: Our results suggested that both polymorphisms were involved in the development of melanoma cancer, increasing or decreasing this risk.

Molecular Detection of Genetic Susceptibility to Bladder Cancer in Egyptian Patients.

OBJECTIVE: Genome-wide association studies (GWAS) have identified a number of genetic variants associated with the susceptibility of bladder cancer (BC) in European and Chinese populations. Here, we assessed the association of two of these variants, rs9642880 and rs710521 in an Egyptian patients and also examined the expression of c-Myc.The basis was due to the absence of studies on Egyptian patients to determine the association between rs9642880& rs710521 and bladder cancer risk, particularly due to the known role of the variant (rs9642880) in the Progression and development of bladder cancer. METHODS: Urine samples were collected from onehundred and fiftybladder cancer patients under particular standards and fifty healthy controls. Genomic DNA was extracted,  rs9642880 G>T and rs710521 A>G polymorphisms were amplified, assessed via restriction fragment length polymorphism(RFLP) and sequenced. Urine retrieved results were compared to the histopathological diagnosis of tissue biopsies and to the results of C-Myc immunohistochemistry. Data were statistically analyzed using Microsoft Excel 2016, association between significant genotypes of the two studied variables and bladder cancer risk was performed. RESULTS: We found that the TT genotype of rs9642880 G>T was strongly associated with the risk of bladder cancer, andfor rs710521 A>G, AG genotype was also identified to has an association with bladder cancer risk.All 150 tumor sections showed positive immunoreactivity for c-Myc in the nucleus and the cytoplasm. CONCLUSION: Identifying the association to risk of bladder cancer using genetic analysis will help in the early detection of the disease.

Polygenic risk prediction models for colorectal cancer: a systematic review.

BACKGROUND: Risk prediction models incorporating single nucleotide polymorphisms (SNPs) could lead to individualized prevention of colorectal cancer (CRC). However, the added value of incorporating SNPs into models with only traditional risk factors is still not clear. Hence, our primary aim was to summarize literature on risk prediction models including genetic variants for CRC, while our secondary aim was to evaluate the improvement of discriminatory accuracy when adding SNPs to a prediction model with only traditional risk factors. METHODS: We conducted a systematic review on prediction models incorporating multiple SNPs for CRC risk prediction. We tested whether a significant trend in the increase of Area Under Curve (AUC) according to the number of SNPs could be observed, and estimated the correlation between AUC improvement and number of SNPs. We estimated pooled AUC improvement for SNP-enhanced models compared with non-SNP-enhanced models using random effects meta-analysis, and conducted meta-regression to investigate the association of specific factors with AUC improvement. RESULTS: We included 33 studies, 78.79% using genetic risk scores to combine genetic data. We found no significant trend in AUC improvement according to the number of SNPs (p for trend = 0.774), and no correlation between the number of SNPs and AUC improvement (p = 0.695). Pooled AUC improvement was 0.040 (95% CI: 0.035, 0.045), and the number of cases in the study and the AUC of the starting model were inversely associated with AUC improvement obtained when adding SNPs to a prediction model. In addition, models constructed in Asian individuals achieved better AUC improvement with the incorporation of SNPs compared with those developed among individuals of European ancestry. CONCLUSIONS: Though not conclusive, our results provide insights on factors influencing discriminatory accuracy of SNP-enhanced models. Genetic variants might be useful to inform stratified CRC screening in the future, but further research is needed.

Ancestry-Matched and Cross-Ancestry Genetic Risk Scores of Type 2 Diabetes in Pregnant Women and Fetal Growth: A Study in an Ancestrally Diverse Cohort.

Maternal genetic variants associated with offspring birth weight and adult type 2 diabetes (T2D) risk loci show some overlap. Whether T2D genetic risk influences longitudinal fetal weight and the gestational timing when these relationships begin is unknown. We investigated the associations of T2D genetic risk scores (GRS) with longitudinal fetal weight and birth weight among 1,513 pregnant women from four ancestral groups. Women had up to five ultrasonography examinations. Ancestry-matched GRS were constructed separately using 380 European- (GRSeur), 104 African- (GRSafr), and 189 East Asian- (GRSeas) related T2D loci discovered in different population groups. Among European Americans, the highest quartile GRSeur was significantly associated with 53.8 g higher fetal weight (95% CI 19.2-88.5) over the pregnancy. The associations began at gestational week 24 and continued through week 40, with a 106.8 g (95% CI 6.5-207.1) increase in birth weight. The findings were similar in analysis further adjusted for maternal glucose challenge test results. No consistent association was found using ancestry-matched or cross-ancestry GRS in non-Europeans. In conclusion, T2D genetic susceptibility may influence fetal growth starting at midsecond trimester among Europeans. Absence of similar associations in non-Europeans urges the need for further genetic T2D studies in diverse ancestries.

The Association of ANRIL With Coronary Artery Disease And Aortic Aneurysms, How Far Does The Gene Desert Go?

BACKGROUND: Coronary artery disease (CAD) and aortic aneurysms (AA) are 2 cardiovascular diseases that share a multifactorial aetiology. The influence of family history and genetics on the 2 diseases separately and in association is well known, but poorly elucidated. This comprehensive review aims to examine the current literature on the gene ANRIL (antisense non-coding RNA in the INK4 locus) and its associations with CAD and AA. METHODS: A database search on OVID, PubMed and Cochrane to identify articles concerning single nucleotide polymorphisms (SNPs) associated with ANRIL and their respective incidences of, and impact on, CAD and AA across populations. RESULTS: Cohort studies across various ethnicities reveal that various ANRIL SNPs are significantly associated separately with CAD (rs1333040, rs1333049 and rs2383207) and AA (rs564398, rs10757278 and rs1333049), and that these SNPs are present in significant proportions of the population. SNP rs1333049 is significantly associated with both diseases, but is positively correlated with AAA and negatively correlated with CAD. This review further outlines several pathophysiological links via endothelial and adventitial cells, vascular smooth muscle cells and sense gene interaction, which may explain these genetic associations identified. CONCLUSION: Given the associations uncovered between ANRIL polymorphisms and CAD and AA, as well as the molecular mechanisms which may explain the underlying pathophysiology, ANRIL appears to be strongly linked with both diseases. ANRIL may hence have a future application in screening normal patients and risk stratifying patients with both diseases. Its role in linking the 2 diseases is yet unclear, warranting further studies.

Analyses of biomarker traits in diverse UK biobank participants identify associations missed by European-centric analysis strategies.

Despite the dramatic underrepresentation of non-European populations in human genetics studies, researchers continue to exclude participants of non-European ancestry, as well as variants rare in European populations, even when these data are available. This practice perpetuates existing research disparities and can lead to important and large effect size associations being missed. Here, we conducted genome-wide association studies (GWAS) of 31 serum and urine biomarker quantitative traits in African (n = 9354), East Asian (n = 2559), and South Asian (n = 9823) ancestry UK Biobank (UKBB) participants. We adjusted for all known GWAS catalog variants for each trait, as well as novel signals identified in a recent European ancestry-focused analysis of UKBB participants. We identify 7 novel signals in African ancestry and 2 novel signals in South Asian ancestry participants (p < 1.61E-10). Many of these signals are highly plausible, including a cis pQTL for the gene encoding gamma-glutamyl transferase and PIEZO1 and G6PD variants with impacts on HbA1c through likely erythrocytic mechanisms. This work illustrates the importance of using the genetic data we already have in diverse populations, with novel discoveries possible in even modest sample sizes.

Intronic LINE-1 insertion in SLCO1B3 as a highly prevalent cause of rotor syndrome in East Asian population.

Rotor syndrome is caused by digenic loss-of-function variants in SLCO1B1 and SLCO1B3 but only a few studies have reported co-occurring inactivating variants from both genes. A rotor syndrome-causing long interspersed element-1 (LINE-1) insertion in SLCO1B3 had been reported to be highly prevalent in the Japanese population but there has been no additional report. In spite of its known association with various human diseases, LINE-1 is hard to detect with current sequencing technologies. In this study, we aimed to devise a method to screen the LINE-1 insertion variant and investigate the frequency of this variant in various populations. A chimeric sequence, that was generated by concatenating the reference sequence at the junction and a part of inserted LINE-1 sequence, was searched from 725 raw sequencing data files. In cases containing the chimeric sequence, confirmatory long-range PCR and gap-PCR were performed. In total, 95 (13.1%) of 725 patients were positive for the chimeric sequence, and all were confirmed to have the SLCO1B3 LINE-1 insertion by PCR-based tests. The same chimeric sequence was searched from the 1000 Genomes Project data repository and the carrier frequency was remarkably high in the East Asian populations (10.1%), especially in Southern Han Chinese (18.5%), but almost absent in other populations. This SLCO1B3 LINE-1 insertion should be screened in a population-specific manner under suspicion of Rotor syndrome and the methods proposed in this study would enable this in a simple way.

Re-evaluating cancer risks associated with the CHEK2 p.Ser428Phe Ashkenazi Jewish founder pathogenic variant.

A missense variant (p.Ser428Phe [S428F]) in the CHEK2 gene is reportedly associated with a 2-3 fold increase in breast cancer risk in Ashkenazi Jews. This study aimed to re-evaluate cancer risks conferred by the CHEK2 S428F variant in Ashkenazi Jews. De-identified data from CHEK2 S428F variant carriers sequenced with multigene panels were analyzed. Overall, 486/341,531 (0.14%) cases of all ethnicities diagnosed with any cancer type were CHEK2 S428F carriers, of whom 243/9980 self-identified as Ashkenazi Jews and carried this risk variant only. Compared with ethnically matched non-cancer controls, across all cancer cases, this variant was not more prevalent (p = 0.271). Specifically, variant prevalence was not different in breast cancer cases compared with controls. Though the variant was shown to be enriched in pancreatic cancer cases (p = 0.008), sample size was small. The CHEK2 S428F variant was not overrepresented in Ashkenazi Jews with breast cancer and most other cancer types analyzed, except for pancreatic cancer, compared with ethnically matched non- cancer controls. These findings should prompt reevaluating ethnic-specific CHEK2 S428F cancer attributable risk.