Multiethnic Meta-analysis Research Articles

Genome-wide meta-analysis identifies 22 loci for normal tension glaucoma with significant overlap with high tension glaucoma

Primary open-angle glaucoma typically presents as two subtypes. This study aimed to elucidate the shared and distinct genetic architectures of normal-tension (NTG) and high-tension glaucoma (HTG), motivated by the need to develop intraocular pressure (IOP)-independent drug targets for the disease. We conducted a comprehensive multi-ethnic meta-analysis, prioritized variants based on functional annotation, and explored drug-gene interactions. We further assessed the genetic overlap between NTG and HTG using pairwise GWAS analysis. We identified 22 risk loci associated with NTG, 17 of which have not previously been reported for NTG. Two loci, BMP4 and TBKBP1, have not previously been associated with glaucoma at the genome-wide significance level. Our results indicate that while there is a significant overlap in risk loci between tension subtypes, the magnitude of the effect tends to be lower in NTG compared to HTG, particularly for IOP-related loci. Additionally, we identified a potential role for biologic immunomodulatory treatments as neuroprotective agents.

A multi-ancestry GWAS meta-analysis of facial features and its application in predicting archaic human features

Facial morphology, a complex trait influenced by genetics, holds great significance in evolutionary research. However, due to limited fossil evidence, the facial characteristics of Neanderthals and Denisovans have remained largely unknown. In this study, we conducted a large-scale multi-ethnic meta-analysis of the genome-wide association study (GWAS), including 9674 East Asians and 10,115 Europeans, quantitatively assessing 78 facial traits using 3D facial images. We identified 71 genomic loci associated with facial features, including 21 novel loci. We developed a facial polygenic score (FPS) that enables the prediction of facial features based on genetic information. Interestingly, the distribution of FPSs among populations from diverse continental groups exhibited relevant correlations with observed facial features. Furthermore, we applied the FPS to predict the facial traits of seven Neanderthals and one Denisovan using ancient DNA and aligned predictions with the fossil records. Our results suggested that Neanderthals and Denisovans likely shared similar facial features, such as a wider but shorter nose and a wider endocanthion distance. The decreased mouth width was characterized specifically in Denisovans. The integration of genomic data and facial trait analysis provides valuable insights into the evolutionary history and adaptive changes in human facial morphology.

Updated Trans-Ethnic Meta-Analysis of Associations between Inflammation-Related Genes and Intracranial Aneurysm.

We performed an expanded multi-ethnic meta-analysis to identify associations between inflammation-related loci with intracranial aneurysm (IA) susceptibility. This meta-analysis possesses increased statistical power as it is based on the most data ever evaluated. We searched and reviewed relevant literature through electronic search engines up to August 2022. Overall estimates were calculated under the fixed- or random-effect models using pooled odds ratio (OR) and 95% confidence intervals (CIs). Subgroup analyses were performed according to ethnicity. Our meta-analysis enrolled 15 studies and involved 3070 patients and 5528 controls including European, Asian, Hispanic, and mixed ethnic populations. Of 17 inflammation-related variants, the rs1800796 locus (interleukin [IL]-6) showed the most significant genome-wide association with IA in East-Asian populations, including 1276 IA patients and 1322 controls (OR, 0.65; 95% CI, 0.56-0.75; p=3.24×10-9) under a fixed-effect model. However, this association was not observed in the European population (OR, 1.09; 95% CI, 0.80-1.47; p=0.5929). Three other variants, rs16944 (IL-1β), rs2195940 (IL-12B), and rs1800629 (tumor necrosis factor-α) showed a statistically nominal association with IA in both the overall, as well as East-Asian populations (0.01<p<0.05). Our updated meta-analysis with increased statistical power highlights that rs1800796 which maps on the IL-6 gene is associated with IA, and in particular confers a protective effect against occurrence of IA in the East-Asian population.

Abstract 720: Integration Of Population Genetic And Human Knockout Studies With Smooth Muscle Cell Lineage Tracing In Mouse Models Identifies Novel Targets For Atherosclerosis And Cardiovascular Risk.

Despite lipid-lowering therapies, residual cardiovascular disease risk remains a major unmet clinical need. Large-scale genetic analyses have identified &gt;250 loci for coronary artery disease (CAD) risk. Genes that function in vascular smooth muscle cells (SMC) are causal at several loci, yet the causal genes at most loci remain unknown. Using single cell profiling and SMC lineage tracing in mouse models, we and others have shown that SMC transition through an intermediate state to SMC-derived cells (SDC) with protective or harmful phenotypes for plaque stability. In this study, we integrated SMC lineage tracing in mouse models with ongoing analyses in &gt; 1 million human participants with whole-genome (WGS) and whole-exome sequencing (WES) data, as well as rare variant analysis of human “knockouts” (homozygous for predicted loss-of-function variants) for a novel gene discovery pipeline (Figure 1). Through WES in 76,000 highly consanguineous participants in the Pakistan Genomic Resource (PGR), we assembled the largest global cohort of human KOs. At non-lipid CAD loci from a recent large multi-ethnic meta-analysis (~1.1 million participants), we prioritized genes as potentially causal in SMC/SDC as those that are expressed and regulated in human or mouse arteries and SMC in atherosclerosis progression. Through gene burden testing and analyses of rare predicted loss-of-function (pLoF) and damaging (pDMs) variants in the largest CAD WES/WGS meta-analyses we enriched for causal genes. We restricted to genes with at least 5 pLoF carriers in PGR to facilitate recall studies in Pakistan. Final prioritization incorporated state-of-the-art fine mapping and co-localization analyses as well as biological plausibility. From an initial pool of 1696 genes, our gene discovery pipeline prioritized 15 SMC/SDC genes, and initial recall in PGR identified multiple large pedigrees for mutations in candidate causal genes PDE3A, SERPINH1, HHIPL1, and ZEB2.

Genome-wide multi-trait analysis on cardioembolic stroke identifies 47 novel loci

Abstract Background Ischemic stroke is one of the leading causes of death and disability-adjusted life-years worldwide. It has several subtypes and cardioembolic stroke (CES) accounts for 15–30% of ischemic strokes. Atrial fibrillation (AF) is the most important risk factor for CES. AF increases the risk of stroke up to 5-fold and there is a substantial overlap in the aetiology of AF and CES. Large genome-wide association studies (GWAS) on AF have identified more than 150 common and rare genetic variants. However, the difficulty in acquiring large sample sizes of CES cohorts has hindered the genetic description of the disease. Purpose In this study, we mapped the genetics of CES to increase our understanding of the molecular biology driving the disease. By leveraging the large genetic cohorts of AF through a multi-trait analysis of AF and CES, we aimed to bypass the lack of statistical power for studying the genetics of CES. Methods First, we obtained the largest possible sample size of AF GWAS by conducting a meta-analysis on publicly available summary statistics from the FinnGen study (v5) and the largest multi-ethnic meta-analysis on AF to date. Summary statistics for stroke were obtained from the largest multi-ancestry GWAS on stroke to date, MEGASTROKE, which examined different ancestries and stroke subtypes. Multi-trait analysis requires a high genetic correlation. Genetic correlations between the different stroke summary statistics and the AF meta-analysis were assessed with LD Score Regression. Second, we performed a joint meta-analysis of CES with MTAG using the CES summary statistics from MEGASTROKE and the AF GWAS meta-analysis. MTAG recalculates p-values and effect sizes for each trait separately by leveraging the covariation for correlated traits. The MTAG-computed summary statistics for CES and AF were subjected to genomic loci characterisation, with functional and annotation analysis carried out by FUMA. Results We show a high genetic correlation between CES and AF (rg = 0.88). Using MTAG, the GWAS meta-analysis of CES increased the effective sample size by almost 3 folds (n=24,639, Table 1). We discovered 50 CES loci whereof 47 are novel (Fig. 1). We mapped 101 genes to CES MTAG computed summary statistics, obtaining enrichment in gene sets involved in cardiac conduction and contraction, cardiac tissue development and cranial skeleton morphogenesis. Conclusion In conclusion, we identified 47 novel CES loci and demonstrated a substantial shared genetic variation with AF. We furthermore mapped 98 genes not previously linked to CES by AF. These results represent findings that potentially could be used for antithrombotic drug discovery and are a major advance in our understanding of the genetic underpinnings of CES Funding Acknowledgement Type of funding sources: Foundation. Main funding source(s): John and Birthe Meyer Foundation, the Research Foundation of the Heart Centre, Rigshospitalet, the Research Council at Rigshospitalet.The Hallas-Møller Emerging Investigator Novo Nordisk (NNF17OC0031204), Arvid Nilsson Foundation

Interaction of background genetic risk, psychotropic medications, and primary angle closure glaucoma in the UK Biobank.

Background/AimsPsychotropic medications have been reported as a risk factor for angle closure disease. However, the interaction between background genetic risk for primary angle closure glaucoma (PACG) and susceptibility to angle closure disease among psychotropic medication users has not been investigated. Here we demonstrate the utility of a genome-wide polygenic risk score (PRS) in identifying and risk-stratifying subjects with PACG and investigate the association between PACG genetic burden and exposure to psychotropic medications on prevalent angle closure.MethodsThis analysis used the UK Biobank dataset, a prospective cohort study of 502,506 UK residents. We constructed a PACG PRS for participants using genome-wide association study summary statistics from a multiethnic meta-analysis using the Lassosum method.ResultsAmong the 441,054 participants, 959 (0.22%) were identified as PACG cases. Individuals with PACG had higher PRS compared to those without PACG (0.24±1.03 SD vs. 0.00±1.00 SD, p<0.001) and PACG prevalence increased with each decile of higher PRS. Among individuals using psychotropic medication, those with PACG had higher average PRS (0.31±1.00 SD vs. 0.00±1.00 SD, p<0.001) and were more likely to have a PRS in upper deciles of polygenic risk (p = 0.04). At each decile of PRS, psychotropic medication use was associated with increased risk of PACG. These effects were more pronounced and significant in higher deciles.ConclusionWe demonstrate the utility of a PRS for identifying individuals at higher risk of PACG. Additionally, we demonstrate an important relationship where the association between psychotropic medications use and PACG diagnosis varies across the polygenic risk spectrum.

Polygenic Risk Scores for Kidney Function and Their Associations with Circulating Proteome, and Incident Kidney Diseases.

Genome-wide association studies (GWAS) have revealed numerous loci for kidney function (eGFR). The relationship between polygenic predictors of eGFR, risk of incident adverse kidney outcomes, and the plasma proteome is not known. We developed a genome-wide polygenic risk score (PRS) for eGFR by applying the LDpred algorithm to summary statistics generated from a multiethnic meta-analysis of CKDGen Consortium GWAS ( n =765,348) and UK Biobank GWAS (90% of the cohort; n =451,508), followed by best-parameter selection using the remaining 10% of UK Biobank data ( n =45,158). We then tested the association of the PRS in the Atherosclerosis Risk in Communities (ARIC) study ( n =8866) with incident CKD, ESKD, kidney failure, and AKI. We also examined associations between the PRS and 4877 plasma proteins measured at middle age and older adulthood and evaluated mediation of PRS associations by eGFR. The developed PRS showed a significant association with all outcomes. Hazard ratios per 1 SD lower PRS ranged from 1.06 (95% CI, 1.01 to 1.11) to 1.33 (95% CI, 1.28 to 1.37). The PRS was significantly associated with 132 proteins at both time points. The strongest associations were with cystatin C, collagen α -1(XV) chain, and desmocollin-2. Most proteins were higher at lower kidney function, except for five proteins, including testican-2. Most correlations of the genetic PRS with proteins were mediated by eGFR. A PRS for eGFR is now sufficiently strong to capture risk for a spectrum of incident kidney diseases and broadly influences the plasma proteome, primarily mediated by eGFR.

New and sex-specific migraine susceptibility loci identified from a multiethnic genome-wide meta-analysis

Migraine is a common disabling primary headache disorder that is ranked as the most common neurological cause of disability worldwide. Women present with migraine much more frequently than men, but the reasons for this difference are unknown. Migraine heritability is estimated to up to 57%, yet much of the genetic risk remains unaccounted for, especially in non-European ancestry populations. To elucidate the etiology of this common disorder, we conduct a multiethnic genome-wide association meta-analysis of migraine, combining results from the GERA and UK Biobank cohorts, followed by a European-ancestry meta-analysis using public summary statistics. We report 79 loci associated with migraine, of which 45 were novel. Sex-stratified analyses identify three additional novel loci (CPS1, PBRM1, and SLC25A21) specific to women. This large multiethnic migraine study provides important information that may substantially improve our understanding of the etiology of migraine susceptibility.

Abstract MP08: Whole Exome Sequencing Study Identified A Novel Variant For Kidney Function And Progression Of Chronic Kidney Disease

Introduction: Most genetic variants for chronic kidney disease (CKD) have been identified in non-coding regions, with functional roles that are difficult to interpret. Hypothesis: A whole exome sequencing study focusing on coding variants will reveal novel mechanisms of kidney function and CKD. Methods: We performed whole exome sequencing analyses of cystatin C among 29,789 UK Biobank (UKB) participants with further confirmation among 4,297 white and 607 African American participants of the Health and Retirement Study (HRS). Conditional analyses for loci achieving exome-wide significance ( P &lt;3.5х10 -7 ) were conducted in UKB using both the exome (n=29,789) and imputed GWAS data (n=295,122). Genomic findings were tested for relevance to baseline estimated glomerular filtration rate (eGFR) and stringently adjudicated CKD progression events among participants of the Chronic Renal Insufficiency Cohort (CRIC) by race and smoking status, using a base model and a full model ( Table ). Results: We identified a common missense variant, CST9 rs2983640, in a previously reported locus ( CST3 intron rs13038305), of which the minor G allele was associated with lower serum cystatin C level (UKB: beta=-0.03 mg/L, P =7.64х10 -92 ; HRS whites: beta=-0.05 mg/L, P =4.71х10 -6 ; HRS African Americans: beta=-0.03 mg/L, P =0.64; and multi-ethnic meta-analysis beta=-0.03 mg/L, P =2.46х10 -91 ). After controlling for the CST3 variant, the G allele was associated with higher cystatin C level (UKB exome: beta=0.003 mg/L, P =0.04; UKB GWAS: beta=0.003 mg/L, P =1.47х10 -10 ). Similar associations were identified in white CRIC participants (direct effect: beta=-0.05 mg/L, P =0.005; conditional effect: beta=0.004 mg/L, P =0.86). The CST9 rs2983640 G allele was associated with lower baseline eGFR (base model beta=-0.33 ml/min/1.73 m 2 , P =1.98х10 -6 ) and higher hazard of developing CKD progression independent of the reported CST3 variant ( Table ). Conclusions: We identified a novel missense variant influencing cystatin C level and CKD progression.

A whole genome sequencing study to identify novel genetic variants associated with lean mass: Multi-ethnic meta-analysis

A whole genome sequencing study to identify novel genetic variants associated with lean mass: Multi-ethnic meta-analysis

Genome-wide meta-analysis identifies 127 open-angle glaucoma loci with consistent effect across ancestries

Primary open-angle glaucoma (POAG), is a heritable common cause of blindness world-wide. To identify risk loci, we conduct a large multi-ethnic meta-analysis of genome-wide association studies on a total of 34,179 cases and 349,321 controls, identifying 44 previously unreported risk loci and confirming 83 loci that were previously known. The majority of loci have broadly consistent effects across European, Asian and African ancestries. Cross-ancestry data improve fine-mapping of causal variants for several loci. Integration of multiple lines of genetic evidence support the functional relevance of the identified POAG risk loci and highlight potential contributions of several genes to POAG pathogenesis, including SVEP1, RERE, VCAM1, ZNF638, CLIC5, SLC2A12, YAP1, MXRA5, and SMAD6. Several drug compounds targeting POAG risk genes may be potential glaucoma therapeutic candidates.

Common variants in SOX-2 and congenital cataract genes contribute to age-related nuclear cataract

Nuclear cataract is the most common type of age-related cataract and a leading cause of blindness worldwide. Age-related nuclear cataract is heritable (h2 = 0.48), but little is known about specific genetic factors underlying this condition. Here we report findings from the largest to date multi-ethnic meta-analysis of genome-wide association studies (discovery cohort N = 14,151 and replication N = 5299) of the International Cataract Genetics Consortium. We confirmed the known genetic association of CRYAA (rs7278468, P = 2.8 × 10−16) with nuclear cataract and identified five new loci associated with this disease: SOX2-OT (rs9842371, P = 1.7 × 10−19), TMPRSS5 (rs4936279, P = 2.5 × 10−10), LINC01412 (rs16823886, P = 1.3 × 10−9), GLTSCR1 (rs1005911, P = 9.8 × 10−9), and COMMD1 (rs62149908, P = 1.2 × 10−8). The results suggest a strong link of age-related nuclear cataract with congenital cataract and eye development genes, and the importance of common genetic variants in maintaining crystalline lens integrity in the aging eye.

Abstract PO-146: Multiethnic GWAS meta-analysis identifies novel variants and informs genetic risk prediction for prostate cancer across populations

Abstract Prostate cancer (PCa) is a highly heritable disease with large disparities in incidence rates across racial and ethnic populations. The inadequate representation of diverse populations in current genome-wide association studies (GWAS) limits the translational potential of findings to the world’s populations and could result in biased risk prediction, further exacerbating health disparities. To improve our understanding of genetic risk of PCa, we conducted a multiethnic meta-analysis of PCa GWAS using 107,247 cases and 127,006 controls from the Prostate Cancer Association Group to Investigate Cancer-Associated Alterations in the Genome (PRACTICAL) consortium, including 85,554 cases and 91,972 controls of European ancestry, 10,368 cases and 10,986 controls of African ancestry, 8,611 cases and 18,809 controls of Asian ancestry, and 2,714 cases and 5,239 controls of Hispanic ancestry. We identified 269 genetic risk variants independently associated with PCa risk, 86 of which were novel. To understand the aggregate effect of the 269 variants, we constructed a genetic risk score (GRS) using the multiethnic weights of the risk variants. Compared to men in the average 40-60% GRS category, the estimated OR for men in the top GRS decile (90-100%) was 5.06 [95% CI 4.84-5.29] for men of European ancestry, 3.74 [95% CI 3.36-4.17] for men of African ancestry, 4.47 [95% CI 3.52-5.68] for men of Asian ancestry, and 4.15 [95% CI 3.33-5.17] for men of Hispanic ancestry. Men of African ancestry were estimated to have a 2.18-times higher mean GRS [95% CI 2.14-2.22], and men of Asian ancestry 0.73-times lower [95% CI 0.71- 0.76], than men of European ancestry. Age significantly modified the GRS association with PCa risk, such that in men of European ancestry, the top decile GRS category was associated with an OR of 6.71 [95 % CI 5.99-7.52] for men ages 55 years or younger and 4.39 [95% CI 4.19-4.60] for men older than 55 years. Similarly, in men of African ancestry, the top decile GRS category was associated with an OR of 4.70 [95% CI 3.65-6.07] for men ages 55 years or younger and 3.37 [95% CI 2.99-3.80] for men older than 55 years. We found that 51% of aggressive cases of European ancestry and 45% of aggressive cases of African ancestry were within the top 20% of the GRS. The lifetime absolute risk of PCa for men in the top decile of the GRS reached 38% for both African Americans [95% CI 36-41%] and Whites [95% CI 37-39%], 31% [95% CI 27-36%] for Hispanics and 26% [95% CI 22-30%] for Asians. For comparison, we constructed a genome-wide GRS, including the 269 variants and variants associated with PCa with P&amp;lt;1.0 × 10-5. ORs calculated with genome-wide GRS were similar and had nearly identical discriminative ability as the 269 GRS in independent samples of 6,852 cases and 193,117 controls of European ancestry and 1,586 cases and 1,047 controls of African ancestry. These findings support the role of germline variation contributing to racial and ethnic disparities in PCa risk, with the GRS offering an approach for personalized risk prediction across populations. Citation Format: David V. Conti, Burcu F. Darst, Lilit Moss, Edward J. Saunders, Xin Sheng, Alisha Chou, Tokhir Dadaev, Sonja I. Berndt, Stephen K. Van Den Eeden, Stephen J. Chanock, Michael B. Cook, Hidewaki Nakagawa, John S. Witte, Rosalind A. Eeles, Zsofia Kote-Jarai, Christopher A. Haiman. Multiethnic GWAS meta-analysis identifies novel variants and informs genetic risk prediction for prostate cancer across populations [abstract]. In: Proceedings of the AACR Virtual Conference: Thirteenth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2020 Oct 2-4. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2020;29(12 Suppl):Abstract nr PO-146.

A multi-ethnic meta-analysis identifies novel genes, including ACSL5, associated with amyotrophic lateral sclerosis

Amyotrophic lateral sclerosis (ALS) is a devastating progressive motor neuron disease that affects people of all ethnicities. Approximately 90% of ALS cases are sporadic and thought to have multifactorial pathogenesis. To understand the genetics of sporadic ALS, we conducted a genome-wide association study using 1,173 sporadic ALS cases and 8,925 controls in a Japanese population. A combined meta-analysis of our Japanese cohort with individuals of European ancestry revealed a significant association at the ACSL5 locus (top SNP p = 2.97 × 10−8). We validated the association with ACSL5 in a replication study with a Chinese population and an independent Japanese population (1941 ALS cases, 3821 controls; top SNP p = 1.82 × 10−4). In the combined meta-analysis, the intronic ACSL5 SNP rs3736947 showed the strongest association (p = 7.81 × 10−11). Using a gene-based analysis of the full multi-ethnic dataset, we uncovered additional genes significantly associated with ALS: ERGIC1, RAPGEF5, FNBP1, and ATXN3. These results advance our understanding of the genetic basis of sporadic ALS.

Abstract 3396: Multiethnic genome-wide meta-analysis of 34,329 cases and 35,732 controls identifies cross-ancestry loci for lung cancer susceptibility

Abstract Genome-wide association studies (GWAS) have revealed susceptible genetic risk factors for lung cancer, highlighting the role of smoking, family history, and DNA damage repair genes in disease etiology. Many studies have focused on European populations; however, lung cancer is a leading cause of cancer incidence and mortality around the world. Previous GWAS analyses have been focusing on a single population-based analyses to exclude the confounding effects such as the presence of systematic allele frequency differences between populations. Another efficient tool for GWAS of complex genetic diseases and traits is meta-analysis providing a practical strategy for detecting genetic variants with modest effect sizes. This study aimed to identify novel genetic susceptibility loci in a large, multiethnic GWAS of lung cancer. The HRC imputation of lung GWAS was carried out in the Sanger Imputation Server. The imputed GWAS with 34,429 cases and 35,732 controls from OncoArray lung cancer GWAS data were used in the study. We applied Fastpop to infer the ancestry membership in three intercontinental populations. We conducted genome-wide association meta-analyses (METAL) in up to 70,161 individuals of European (26,683 cases/25,278 controls), African (1,987 cases/3,779 controls), or Asian (7,062 cases/5,372 controls) ancestry using HRC imputed lung cancer data. The novel variants in or near DCBLD1 on 6q22.1 (OR=0.93,P=2.11 × 10−10), IRF4 on 6p25.3 (OR=1.11,P=3.96 × 10−8), PPIL6 on 6q21 (OR=1.10,P=4.41 × 10−9), ROS1 on 6p22.1 (OR=0.94,P=2.49 × 10−9) for overall lung cancer, ACTR2 on 2p14 OR=0.89,P=2.96 × 10−9), ATM on 11q22.3 (OR=3.61,P=8.88 × 10−10), PSMA4 on 15q25.1 (OR=0.88,P=1.07 × 10−12) for lung adenocarcinoma, ABCF1 (OR=1.35,P=4.54 × 10−12), C2 (OR=1.37,P=6.65 × 10−13), CFB (OR=1.37,P=5.44 × 10−13), CYP21A2 (OR=1.35,P=1.71 × 10−10), VWA7 (OR=1.36,P=1.3 × 10−12) on 6p21.33, HCG9 on 6p22.1 (OR=1.30,P=2.34 × 10−10), IREB2 on 15q25.1 (OR=1.20,P=9.25 × 10−19), TTC28 (OR=0.29,P=2.84 × 10−11), ZNRF3 (OR=0.37,P=3.55 × 10−10) on 22q12.1 for lung squamous cell carcinoma, and ZC3H15 on 2q32.1 (OR=2.73,P=2.62 × 10−8), NECTIN1 on 11q23.3 (OR=8.96,P=3.27 × 10−8) for lung small cell carcinoma were identified at a genome-wide level of significance in lung cancer. Our large, multiethnic GWAS meta-analysis of lung cancer has identified several novel genetic associations. Further work is required to elucidate the biological mechanisms underlying these associations. Our results suggest that multiethnic meta-analysis of larger lung cancer datasets may yield additional genetic risk loci of moderate effect size. Citation Format: Jinyoung Byun, Xiangjun Xiao, Younghun Han, Yafang Li, Ryan Sun, Xihao Li, Hufeng Zhou, Xihong Lin, James McKay, Rayjean Hung, Christopher Amos, INTEGRAL Consortium. Multiethnic genome-wide meta-analysis of 34,329 cases and 35,732 controls identifies cross-ancestry loci for lung cancer susceptibility [abstract]. In: Proceedings of the Annual Meeting of the American Association for Cancer Research 2020; 2020 Apr 27-28 and Jun 22-24. Philadelphia (PA): AACR; Cancer Res 2020;80(16 Suppl):Abstract nr 3396.

A multiethnic genome-wide analysis of 44,039 individuals identifies 41 new loci associated with central corneal thickness

Central corneal thickness (CCT) is one of the most heritable human traits, with broad-sense heritability estimates ranging between 0.68 to 0.95. Despite the high heritability and numerous previous association studies, only 8.5% of CCT variance is currently explained. Here, we report the results of a multiethnic meta-analysis of available genome-wide association studies in which we find association between CCT and 98 genomic loci, of which 41 are novel. Among these loci, 20 were significantly associated with keratoconus, and one (RAPSN rs3740685) was significantly associated with glaucoma after Bonferroni correction. Two-sample Mendelian randomization analysis suggests that thinner CCT does not causally increase the risk of primary open-angle glaucoma. This large CCT study explains up to 14.2% of CCT variance and increases substantially our understanding of the etiology of CCT variation. This may open new avenues of investigation into human ocular traits and their relationship to the risk of vision disorders.

Adipose Tissue Gene Expression Associations Reveal Hundreds of Candidate Genes for Cardiometabolic Traits

Genome-wide association studies (GWASs) have identified thousands of genetic loci associated with cardiometabolic traits including type 2 diabetes (T2D), lipid levels, body fat distribution, and adiposity, although most causal genes remain unknown. We used subcutaneous adipose tissue RNA-seq data from 434 Finnish men from the METSIM study to identify 9,687 primary and 2,785 secondary cis-expression quantitative trait loci (eQTL; <1 Mb from TSS, FDR < 1%). Compared to primary eQTL signals, secondary eQTL signals were located further from transcription start sites, had smaller effect sizes, and were less enriched in adipose tissue regulatory elements compared to primary signals. Among 2,843 cardiometabolic GWAS signals, 262 colocalized by LD and conditional analysis with 318 transcripts as primary and conditionally distinct secondary cis-eQTLs, including some across ancestries. Of cardiometabolic traits examined for adipose tissue eQTL colocalizations, waist-hip ratio (WHR) and circulating lipid traits had the highest percentage of colocalized eQTLs (15% and 14%, respectively). Among alleles associated with increased cardiometabolic GWAS risk, approximately half (53%) were associated with decreased gene expression level. Mediation analyses of colocalized genes and cardiometabolic traits within the 434 individuals provided further evidence that gene expression influences variant-trait associations. These results identify hundreds of candidate genes that may act in adipose tissue to influence cardiometabolic traits.

Hypertension Editors' Picks Preeclampsia.

Hypertension Editors' Picks Preeclampsia.

A multiethnic meta-analysis defined the association of rs12946942 with severe adolescent idiopathic scoliosis.

Adolescent idiopathic scoliosis (AIS) is the most common type of scoliosis. Controlling its curve progression is the most important clinical task. Although recent genome-wide association studies (GWASs) identified several susceptibility loci associated with the development of AIS, the etiology of curve progression has been still unknown. Our previous GWAS has identified that rs12946942 showed significant association with severe AIS. To confirm the association, we conducted an international meta-analysis using four cohorts with different ethnicity. We analyzed 2272 severe AIS cases and 13,859 controls in total, and found the replication of significant association of rs12946942 (combined P = 7.23×10-13; odds ratio = 1.36, 95% confidence interval = 1.25-1.49). In silico analyses suggested that SOX9 is the most likely susceptibility gene for AIS curve progression in the locus.

DNA methylation age is associated with an altered hemostatic profile in a multiethnic meta-analysis

AbstractMany hemostatic factors are associated with age and age-related diseases; however, much remains unknown about the biological mechanisms linking aging and hemostatic factors. DNA methylation is a novel means by which to assess epigenetic aging, which is a measure of age and the aging processes as determined by altered epigenetic states. We used a meta-analysis approach to examine the association between measures of epigenetic aging and hemostatic factors, as well as a clotting time measure. For fibrinogen, we performed European and African ancestry–specific meta-analyses which were then combined via a random effects meta-analysis. For all other measures we could not estimate ancestry-specific effects and used a single fixed effects meta-analysis. We found that 1-year higher extrinsic epigenetic age as compared with chronological age was associated with higher fibrinogen (0.004 g/L/y; 95% confidence interval, 0.001-0.007; P = .01) and plasminogen activator inhibitor 1 (PAI-1; 0.13 U/mL/y; 95% confidence interval, 0.07-0.20; P = 6.6 × 10−5) concentrations, as well as lower activated partial thromboplastin time, a measure of clotting time. We replicated PAI-1 associations using an independent cohort. To further elucidate potential functional mechanisms, we associated epigenetic aging with expression levels of the PAI-1 protein encoding gene (SERPINE1) and the 3 fibrinogen subunit-encoding genes (FGA, FGG, and FGB) in both peripheral blood and aorta intima-media samples. We observed associations between accelerated epigenetic aging and transcription of FGG in both tissues. Collectively, our results indicate that accelerated epigenetic aging is associated with a procoagulation hemostatic profile, and that epigenetic aging may regulate hemostasis in part via gene transcription.