👤 J Michael Gaziano

Resilience following combat exposure is an important factor in understanding posttraumatic stress disorder (PTSD), associated risk, and potentially resilience more generally. Identifying underlying genetic factors requires large samples; most biobanks lack extensive resilience assessments, although data regarding trauma and psychiatric symptoms are frequently present that allow computation of a resilience measure. We leveraged the Million Veteran Program (MVP) cohort to calculate discrepancy-based psychiatric resilience (DBPR) scores by regressing PTSD symptoms (PCL-17) onto combat exposure (Deployment Risk and Resilience Inventory-Combat Experiences Scale). We conducted a genome-wide association study (GWAS) of DBPR among European-ancestry (EUR) (n=94,360) and African-ancestry (AFR) participants (n=10,339). We performed conditional analyses with disorders frequently comorbid with PTSD (major depressive disorder, generalized anxiety), examined genetic correlations (r SNP-based heritability was 0.079 (SE=0.007) and three independent genome-wide significant loci were associated with DBPR in EUR; no significant loci were identified in AFR. Trans-ancestry meta-analysis revealed three significant SNPs mapping to RN7SKPP19*rs4650199, MAD1L1*rs12669370, and KANSL1:KANSL1-AS1*rs62060955. In EUR, eight genes were identified in TWAS. One gene (C7orf50) reached a posterior probability >0.90 in TWAS fine mapping. Significant correlations were observed between DBPR and other variables including neuroticism (-0.61), participation in religious groups (0.29) and engaging in sports (0.39, SE = 0.05). The r These findings extend the literature regarding DBPR as a resilience measure and help inform our understanding of the underlying biological mechanisms. Show less

To broaden our understanding of bradyarrhythmias and conduction disease, we performed common variant genome-wide association analyses in up to 1.3 million individuals and rare variant burden testing in 460,000 individuals for sinus node dysfunction (SND), distal conduction disease (DCD) and pacemaker (PM) implantation. We identified 13, 31 and 21 common variant loci for SND, DCD and PM, respectively. Four well-known loci (SCN5A/SCN10A, CCDC141, TBX20 and CAMK2D) were shared for SND and DCD, while others were more specific for SND or DCD. SND and DCD showed a moderate genetic correlation (r Show less

Promoting brown adipose tissue (BAT) activity innovatively targets obesity and metabolic disease. While thermogenic activation of BAT is well understood, the rheostatic regulation of BAT to avoid excessive energy dissipation remains ill-defined. Here, we demonstrate that adenylyl cyclase 3 (AC3) is key for BAT function. We identified a cold-inducible promoter that generates a 5' truncated AC3 mRNA isoform (Adcy3-at), whose expression is driven by a cold-induced, truncated isoform of PPARGC1A (PPARGC1A-AT). Male mice lacking Adcy3-at display increased energy expenditure and are resistant to obesity and ensuing metabolic imbalances. Mouse and human AC3-AT are retained in the endoplasmic reticulum, unable to translocate to the plasma membrane and lack enzymatic activity. AC3-AT interacts with AC3 and sequesters it in the endoplasmic reticulum, reducing the pool of adenylyl cyclases available for G-protein-mediated cAMP synthesis. Thus, AC3-AT acts as a cold-induced rheostat in BAT, limiting adverse consequences of cAMP activity during chronic BAT activation. Show less

Preeclampsia is a leading cause of maternal and perinatal morbidity and mortality. However, the current understanding of its underlying biological pathways remains limited. In this study, we performed a cross-platform proteome- and transcriptome-wide genetic analysis aimed at evaluating the causal relevance of >2000 circulating proteins with preeclampsia, supported by data on the expression of over 15 000 genes across 36 tissues leveraging large-scale preeclampsia genetic association data from women of European ancestry. We demonstrate genetic associations of 18 circulating proteins with preeclampsia (SULT1A1 [sulfotransferase 1A1], SH2B3 [SH2B adapter protein 3], SERPINE2 [serpin family E member 2], RGS18 [regulator of G-protein signaling 18], PZP [pregnancy zone protein], NOTUM [notum, palmitoleoyl-protein carboxylesterase], METAP1 [methionyl aminopeptidase 1], MANEA [mannosidase endo-alpha], jun-D [JunD proto-oncogene], GDF15 [growth differentiation factor 15], FGL1 [fibrinogen like 1], FGF5 [fibroblast growth factor 5], FES [FES proto-oncogene], APOBR [apolipoprotein B receptor], ANP [natriuretic peptide A], ALDH-E2 [aldehyde dehydrogenase 2 family member], ADAMTS13 [ADAM metallopeptidase with thrombospondin type 1 motif 13], and 3MG [N-methylpurine DNA glycosylase]), among which 11 were either directly or indirectly supported by gene expression data, 9 were supported by Bayesian colocalization analyses, and 5 (SERPINE2, PZP, FGF5, FES, and ANP) were supported by all lines of evidence examined. Protein interaction mapping identified potential shared biological pathways through natriuretic peptide signaling, blood pressure regulation, immune tolerance, and thrombin activity regulation. This investigation identified multiple targetable proteins linked to cardiovascular, inflammatory, and coagulation pathways, with SERPINE2, PZP, FGF5, FES, and ANP identified as pivotal proteins with likely causal roles in the development of preeclampsia. The identification of these potential targets may guide the development of targeted therapies for preeclampsia. Show less

We conduct a large-scale meta-analysis of heart failure genome-wide association studies (GWAS) consisting of over 90,000 heart failure cases and more than 1 million control individuals of European ancestry to uncover novel genetic determinants for heart failure. Using the GWAS results and blood protein quantitative loci, we perform Mendelian randomization and colocalization analyses on human proteins to provide putative causal evidence for the role of druggable proteins in the genesis of heart failure. We identify 39 genome-wide significant heart failure risk variants, of which 18 are previously unreported. Using a combination of Mendelian randomization proteomics and genetic cis-only colocalization analyses, we identify 10 additional putatively causal genes for heart failure. Findings from GWAS and Mendelian randomization-proteomics identify seven (CAMK2D, PRKD1, PRKD3, MAPK3, TNFSF12, APOC3 and NAE1) proteins as potential targets for interventions to be used in primary prevention of heart failure. Show less

Hypertrophic cardiomyopathy (HCM) is a leading cause of sudden cardiac death in young people. Although rare genetic variants are well-established contributors to HCM risk, common genetic variants have recently been implicated in disease pathogenesis. To assess the contributions of rare and common genetic variation to risk of HCM in the general population. This cohort study of the UK Biobank (data from 2006-2010) and the Mass General Brigham Biobank (2010-2019) assessed the relative and joint contributions of rare genetic variants and a common variant (polygenic) score to risk of HCM. Both rare and common variant predictors were then evaluated in the context of relevant clinical risk factors. Data analysis was conducted from May 2021 to February 2022. Pathogenic rare variants, common-variant (polygenic) score, and clinical risk factors. Risk of HCM. The primary study population comprised 184 511 individuals from the UK Biobank. Mean (SD) age was 56 (8) years, 83 690 (45%) of participants were men, and 204 (0.1%) participants had HCM. Of 51 genes included in clinical genetic testing panels for HCM, pathogenic or likely pathogenic variants in 14 core genes (designated by the American College of Medical Genetics and Genomics [ACMG]) were associated with 55-fold higher odds (95% CI, 35-83) of HCM, while those in the remaining 37 non-ACMG genes were not significantly associated with HCM (OR, 1.8; 95% CI, 0.6-4.0). ClinVar pathogenic or likely pathogenic mutations in MYBPC3 (OR, 72; 95% CI, 39-124) and MYH7 (OR, 61; 95% CI, 26-121) were strongly associated with HCM, as were loss-of-function variants in ALPK3 (OR, 13; 95% CI, 4.4-28). A polygenic score was strongly associated with HCM (OR per SD increase in score, 1.6; 95% CI, 1.4-1.8), with concordant results in the Mass General Brigham Biobank. Genetic factors enhanced clinical risk prediction for HCM: addition of rare variant carrier status and the polygenic score to clinical risk factors (obesity, hypertension, atrial fibrillation, and coronary artery disease) improved the area under the receiver operator characteristic curve from 0.71 (95% CI, 0.65-0.77) to 0.82 (95% CI, 0.77-0.87). Both rare and common genetic variants contribute substantially to HCM susceptibility in the general population and improve HCM risk prediction beyond that achieved with clinical factors. Show less

Post-traumatic stress disorder (PTSD) is a major problem among military veterans and civilians alike, yet its pathophysiology remains poorly understood. We performed a genome-wide association study and bioinformatic analyses, which included 146,660 European Americans and 19,983 African Americans in the US Million Veteran Program, to identify genetic risk factors relevant to intrusive reexperiencing of trauma, which is the most characteristic symptom cluster of PTSD. In European Americans, eight distinct significant regions were identified. Three regions had values of P < 5 × 10 Show less

The Million Veteran Program (MVP) was established in 2011 as a national research initiative to determine how genetic variation influences the health of US military veterans. Here we genotyped 312,571 MVP participants using a custom biobank array and linked the genetic data to laboratory and clinical phenotypes extracted from electronic health records covering a median of 10.0 years of follow-up. Among 297,626 veterans with at least one blood lipid measurement, including 57,332 black and 24,743 Hispanic participants, we tested up to around 32 million variants for association with lipid levels and identified 118 novel genome-wide significant loci after meta-analysis with data from the Global Lipids Genetics Consortium (total n > 600,000). Through a focus on mutations predicted to result in a loss of gene function and a phenome-wide association study, we propose novel indications for pharmaceutical inhibitors targeting PCSK9 (abdominal aortic aneurysm), ANGPTL4 (type 2 diabetes) and PDE3B (triglycerides and coronary disease). Show less

Apolipoproteins AI/CIII/AIV play important roles in the metabolism of triglycerides (TG) and high-density lipoprotein (HDL) cholesterol. However, whether genetic variations in the APOA1/C3/A4 gene cluster are associated with the risk of myocardial infarction (MI) remains uncertain and prospective data are sparse. In a prospective nested case-control study of 385 incident cases of MI and 373 age- and smoking-matched controls from the Physicians' Health Study, we examined the relationship between 2 common single nucleotide polymorphisms (APOA1 XmnI and APOC3 SstI) in the APOA1/C3/A4 gene cluster and haplotypes defined by these SNPs and risk of incident MI. No significant differences in allele or genotype frequency for the APOA1 XmnI and APOC3 SstI polymorphisms were detected between cases and controls. After adjusting for non-lipid coronary risk factors, the relative risks for incident MI were 1.00 (95% CI 0.68-1.47) for men carrying the X2 allele compared with those homozygous for the X1 allele in the APOA1 XmnI site and 1.07 (95% CI 0.69-1.64) for men carrying the S2 versus those homozygous for the S1 allele in the APOC3 SstI site. Moreover, we did not observe any effect modification by HDL or TG levels for the associations of these APOA1 and APOC3 genotypes with MI risk. There were significant differences in TG levels among men carrying different haplotypes (P=0.01) and men carrying the X1-S2 haplotype had higher levels of TG than those carrying the X2-S1 haplotype (202 mg/dl versus 157 mg/dl, P=0.03); however, haplotype frequencies defined by these two polymorphisms did not differ significantly between cases and controls. In this prospective study of apparently healthy middle-aged US men, carriers of the X1-S2 haplotype in the APOA1 XmnI and APOC3 SstI variants across the APOA1/C3/A4 gene cluster had higher TG levels, but there was no evidence for significant associations between these two common variants or haplotypes defined by them and risk of incident MI in this cohort. Show less