Publications by authors named "Kruthika R Iyer"
Polygenic risk scores (PRS) hold prognostic value for identifying individuals at higher risk of type 2 diabetes (T2D). However, further characterization is needed to understand the generalizability of T2D PRS in diverse populations across various contexts. We characterized a multi-ancestry T2D PRS among 244,637 cases and 637,891 controls across eight populations from the Population Architecture Genomics and Epidemiology (PAGE) Study and 13 additional biobanks and cohorts.
View Article and Find Full Text PDFBackground: Genome-wide association studies have identified several hundred susceptibility single nucleotide variants for coronary artery disease (CAD). Despite single nucleotide variant-based genome-wide association studies improving our understanding of the genetics of CAD, the contribution of structural variants (SVs) to the risk of CAD remains largely unclear.
Method And Results: We leveraged SVs detected from high-coverage whole genome sequencing data in a diverse group of participants from the National Heart Lung and Blood Institute's Trans-Omics for Precision Medicine program.
Background: Premorbid health traits that increase the risk of dying at the time of initial presentation of coronary heart disease (CHD) remain poorly characterized.
Methods: We followed 148,230 post-menopausal participants in the Women's Health Initiative for a median of 13.3 years.
Article Synopsis
- Whole genome sequencing (WGS) helps identify rare genetic variants that may explain the missing heritability of coronary artery disease (CAD) by analyzing 4,949 cases and 17,494 controls from the NHLBI TOPMed program.
- The study estimates that the heritability of CAD is around 34.3%, with ultra-rare variants contributing about 50%, especially those with low linkage disequilibrium.
- Functional annotations show significant enrichment of CAD heritability, highlighting the importance of ultra-rare variants and specific regulatory mechanisms in different cells as major factors influencing genetic risk for the disease.
Article Synopsis
- - This study investigates the genetic basis of telomere length (TL) across a diverse group of 109,122 individuals from various ancestries, marking the first such analysis that includes non-European populations.
- - Researchers identified 59 significant genetic variants linked to TL, with 20 novel associations; these findings suggest that the genetic factors influencing TL are consistent across different populations.
- - The analysis further revealed connections between telomere length and increased cancer risk, highlighting the potential implications of telomere genetics in age-related diseases.