The Chromosome 9p21 CVD- and T2D-Associated Regions in a Norwegian Population (The HUNT2 Survey)

Genetic variants of ANRIL and coronary artery disease: Insights from a Turkish study population

BACKGROUND AND AIM

Coronary artery disease (CAD) remains a leading cause of morbidity and mortality globally despite advancements in treatment. Long non-coding RNAs (lncRNAs) play crucial roles in the atherosclerotic process, with ANRIL being one such lncRNA. This study explored the association between ANRIL polymorphisms (rs1333049:C > G, rs564398:T > C, and rs10757274:A > G) and CAD along with CAD risk factors in a Turkish patient group.

METHODS

The study included 1285 participants, consisting of 736 patients diagnosed with CAD (mean age = 63.3 ± 10.5 years) and 549 non-CAD controls (mean age = 57.52 ± 11.01 years). Genotypes for rs1333049, rs564398, and rs10757274 were determined using qRT-PCR.

RESULTS

G allele carriage of both rs1333049 and rs10757274 polymorphisms were associated with higher Gensini score, SYNTAX score, total cholesterol, and triglyceride levels in female CAD patients and non-CAD males. Females with rs564398 CC genotype were more susceptible to CAD (p = 0.02) and severe CAD (p = 0.05). Moreover, the G and T alleles of rs10757274 and rs564398 were more prevalent among hypertensive males. Also, carrying the C allele for rs564398 was associated with a decreased risk for type 2 diabetes mellitus (T2DM) (p = 0.02). Besides, carriers of the rs1333049 C allele for decreased risk for T2DM (p = 0.03) and CAD complexed with T2DM (p = 0.04) in logistic regression analyses.

CONCLUSIONS

In conclusion, selected ANRIL polymorphisms were associated with CAD presence/severity and CAD risk factors, T2DM, and hypertension. Notably, this study, the largest sample-sized study examining the effects of selected polymorphisms on CAD and its risk factors among Turkish individuals, supported the findings of previous studies conducted on different ethnicities.

Systematic Heritability and Heritability Enrichment Analysis for Diabetes Complications in UK Biobank and ACCORD Studies

Diabetes-related complications reflect longstanding damage to small and large vessels throughout the body. In addition to the duration of diabetes and poor glycemic control, genetic factors are important contributors to the variability in the development of vascular complications. Early heritability studies found strong familial clustering of both macrovascular and microvascular complications. However, they were limited by small sample sizes and large phenotypic heterogeneity, leading to less accurate estimates. We take advantage of two independent studies-UK Biobank and the Action to Control Cardiovascular Risk in Diabetes trial-to survey the single nucleotide polymorphism heritability for diabetes microvascular (diabetic kidney disease and diabetic retinopathy) and macrovascular (cardiovascular events) complications. Heritability for diabetic kidney disease was estimated at 29%. The heritability estimate for microalbuminuria ranged from 24 to 60% and was 41% for macroalbuminuria. Heritability estimates of diabetic retinopathy ranged from 6 to 33%, depending on the phenotype definition. More severe diabetes retinopathy possessed higher genetic contributions. We show, for the first time, that rare variants account for much of the heritability of diabetic retinopathy. This study suggests that a large portion of the genetic risk of diabetes complications is yet to be discovered and emphasizes the need for additional genetic studies of diabetes complications.

Genome-wide interrogation reveals hundreds of long intergenic noncoding RNAs that associate with cardiometabolic traits

Long intergenic noncoding RNAs (lincRNAs) play important roles in disease, but the vast majority of these transcripts remain uncharacterized. We defined a set of 54 944 human lincRNAs by drawing on four publicly available lincRNA datasets, and annotated ∼2.5 million single nucleotide polymorphisms (SNPs) from each of 15 cardiometabolic genome-wide association study datasets into these lincRNAs. We identified hundreds of lincRNAs with at least one trait-associated SNP: 898 SNPs in 343 unique lincRNAs at 5% false discovery rate, and 469 SNPs in 146 unique lincRNAs meeting Bonferroni-corrected P < 0.05. An additional 64 trait-associated lincRNAs were identified using a class-level testing strategy at Bonferroni-corrected P < 0.05. To better understand the genomic context and prioritize trait-associated lincRNAs, we examined the pattern of linkage disequilibrium between SNPs in the lincRNAs and SNPs that met genome-wide-significance in the region (±500 kb of lincRNAs). A subset of the lincRNA-trait association findings was replicated in independent Genome-wide association studies data from the Pakistan Risk of Myocardial Infarction Study study. For trait-associated lincRNAs, we also investigated synteny and conservation relative to mouse, expression patterns in five cardiometabolic-relevant tissues, and allele-specific expression in RNA sequencing data for adipose tissue and leukocytes. Finally, we revealed a functional role in human adipocytes for linc-NFE2L3-1, which is expressed in adipose and is associated with waist-hip ratio adjusted for BMI. This comprehensive profile of trait-associated lincRNAs provides novel insights into disease mechanism and serves as a launching point for interrogation of the biology of specific lincRNAs in cardiometabolic disease.