@article {9037, title = {Polygenic transcriptome risk scores for COPD and lung function improve cross-ethnic portability of prediction in the NHLBI TOPMed program.}, journal = {Am J Hum Genet}, year = {2022}, month = {2022 Mar 31}, abstract = {

While polygenic risk scores (PRSs) enable early identification of genetic risk for chronic obstructive pulmonary disease (COPD), predictive performance is limited when the discovery and target populations are not well matched. Hypothesizing that the biological mechanisms of disease are shared across ancestry groups, we introduce a PrediXcan-derived polygenic transcriptome risk score (PTRS) to improve cross-ethnic portability of risk prediction. We constructed the PTRS using summary statistics from application of PrediXcan on large-scale GWASs of lung function (forced expiratory volume in 1~s [FEV] and its ratio to forced vital capacity [FEV/FVC]) in the UK Biobank. We examined prediction performance and cross-ethnic portability of PTRS through smoking-stratified analyses both on 29,381 multi-ethnic participants from TOPMed population/family-based cohorts and on 11,771 multi-ethnic participants from TOPMed COPD-enriched studies. Analyses were carried out for two dichotomous COPD traits (moderate-to-severe and severe COPD) and two quantitative lung function traits (FEV and FEV/FVC). While the proposed PTRS showed weaker associations with disease than PRS for European ancestry, the PTRS showed stronger association with COPD than PRS for African Americans (e.g., odds ratio [OR]~= 1.24 [95\% confidence interval [CI]: 1.08-1.43] for PTRS versus 1.10 [0.96-1.26] for PRS among heavy smokers with >= 40 pack-years of smoking) for moderate-to-severe COPD. Cross-ethnic portability of the PTRS was significantly higher than the PRS (paired t test p~<~2.2~{\texttimes}~10 with portability gains ranging from 5\% to 28\%) for both dichotomous COPD traits and across all smoking strata. Our study demonstrates the value of PTRS for improved cross-ethnic portability compared to PRS in predicting COPD risk.

}, issn = {1537-6605}, doi = {10.1016/j.ajhg.2022.03.007}, author = {Hu, Xiaowei and Qiao, Dandi and Kim, Wonji and Moll, Matthew and Balte, Pallavi P and Lange, Leslie A and Bartz, Traci M and Kumar, Rajesh and Li, Xingnan and Yu, Bing and Cade, Brian E and Laurie, Cecelia A and Sofer, Tamar and Ruczinski, Ingo and Nickerson, Deborah A and Muzny, Donna M and Metcalf, Ginger A and Doddapaneni, Harshavardhan and Gabriel, Stacy and Gupta, Namrata and Dugan-Perez, Shannon and Cupples, L Adrienne and Loehr, Laura R and Jain, Deepti and Rotter, Jerome I and Wilson, James G and Psaty, Bruce M and Fornage, Myriam and Morrison, Alanna C and Vasan, Ramachandran S and Washko, George and Rich, Stephen S and O{\textquoteright}Connor, George T and Bleecker, Eugene and Kaplan, Robert C and Kalhan, Ravi and Redline, Susan and Gharib, Sina A and Meyers, Deborah and Ortega, Victor and Dupuis, Jos{\'e}e and London, Stephanie J and Lappalainen, Tuuli and Oelsner, Elizabeth C and Silverman, Edwin K and Barr, R Graham and Thornton, Timothy A and Wheeler, Heather E and Cho, Michael H and Im, Hae Kyung and Manichaikul, Ani} } @article {9573, title = {A polygenic risk score of atrial fibrillation improves prediction of lifetime risk for heart failure.}, journal = {ESC Heart Fail}, year = {2024}, month = {2024 Jan 22}, abstract = {

AIMS: Heart failure (HF) has shared genetic architecture with its risk factors: atrial fibrillation (AF), body mass index (BMI), coronary heart disease (CHD), systolic blood pressure (SBP), and type 2 diabetes (T2D). We aim to assess the association and risk prediction performance of risk-factor polygenic risk scores (PRSs) for incident HF and its subtypes in bi-racial populations.

METHODS AND RESULTS: Five PRSs were constructed for AF, BMI, CHD, SBP, and T2D in White participants of the Atherosclerosis Risk in Communities (ARIC) study. The associations between PRSs and incident HF and its subtypes were assessed using Cox models, and the risk prediction performance of PRSs was assessed using C statistics. Replication was performed in the ARIC study Black and Cardiovascular Health Study (CHS) White participants. In 8624 ARIC study Whites, 1922 (31\% cumulative incidence) HF cases developed over 30~years of follow-up. PRSs of AF, BMI, and CHD were associated with incident HF (P~<~0.001), where PRS showed the strongest association [hazard ratio (HR): 1.47, 95\% confidence interval (CI): 1.41-1.53]. Only the addition of PRS to the ARIC study HF risk equation improved C statistics for 10~year risk prediction from 0.812 to 0.829 (∆C: 0.017, 95\% CI: 0.009-0.026). The PRS was associated with both incident HF with reduced ejection fraction (HR: 1.43, 95\% CI: 1.27-1.60) and incident HF with preserved ejection fraction (HR: 1.46, 95\% CI: 1.33-1.62). The associations between PRS and incident HF and its subtypes, as well as the improved risk prediction, were replicated in the ARIC study Blacks and the CHS Whites (P~<~0.050). Protein analyses revealed that N-terminal pro-brain natriuretic peptide and other 98 proteins were associated with PRS .

CONCLUSIONS: The PRS was associated with incident HF and its subtypes and had significant incremental value over an established HF risk prediction equation.

}, issn = {2055-5822}, doi = {10.1002/ehf2.14665}, author = {Alkis, Taryn and Luo, Xi and Wall, Katherine and Brody, Jennifer and Bartz, Traci and Chang, Patricia P and Norby, Faye L and Hoogeveen, Ron C and Morrison, Alanna C and Ballantyne, Christie M and Coresh, Josef and Boerwinkle, Eric and Psaty, Bruce M and Shah, Amil M and Yu, Bing} }