Faculty Bibliography

OBJECTIVE:Find genetic contributions to glaucoma in African Americans. DESIGN/METHODS:Cross-sectional, case-control study. PARTICIPANTS/METHODS:1875 POAG cases and 1709 controls, self-identified as African Descent (AD), from the African Descent and Glaucoma Evaluation Study (ADAGESIII) and Wake Forest School of Medicine. METHODS:MegaChip genotypes were imputed to Thousand Genomes data. Association of SNPs with POAG and advanced POAG was tested by linear mixed model correcting for relatedness and population stratification. Genetic risk scores were tested by Receiver Operator Characteristics (ROC-AUC). MAIN OUTCOME/RESULTS:POAG defined by visual field loss without other non-ocular conditions (N=1875). Advanced POAG was defined by age-based mean deviation of visual field (N=946). RESULTS:) was observed, not in LD with the previously reported ED SNP. Additional previously identified loci associated with POAG in AD were: 8q22, AFAP1, TMCO1. An AUC of 0.62 was observed with an unweighted genetic risk score composed of 11 SNPs in candidate genes. Two additional risk scores were studied by using a penalized matrix decomposition with cross-validation; risk scores of 50 and 400 SNPs were identified with ROC of AUC=0.74 and AUC=0.94, respectively. CONCLUSIONS:A novel association with advanced POAG in the ENO4 locus was putatively identified in subjects of African descent. In addition to this finding, this GWAS in AD POAG subjects contributes to POAG genetics by identification of novel signals in prior loci (9p21), as well as advancing the fine-mapping of regions due to shorter average linkage disequilibrium (FNDC3B). While not useful without confirmation and clinical trials, the use of genetic risk scores demonstrated that considerable AD-specific genetic information remains in these data.

BACKGROUND:One in three adolescents and young adults with type 1 diabetes have at least one early diabetes-related complication or comorbidity. We aimed to examine the prevalence and pattern of co-occurring complications in this population, as well as the related risk factors. METHODS:This observational cohort study includes data from individuals diagnosed with type 1 diabetes before age 20 years who participated in the SEARCH for Diabetes in Youth Study across five sites in the USA. We assessed sociodemographic and metabolic risk factors at baseline and at follow-up, and diabetes complications at follow-up. A frequency analysis was done to examine the difference in observed versus expected prevalence (calculated using a contingency table assuming independence across cells) of co-occurring complications or comorbidities. A cluster analysis was done to identify unique clusters of participants based on demographic characteristics and metabolic risk factors. FINDINGS/RESULTS:1327 participants who completed the follow-up visit were included in the frequency analysis. The mean age was 10·1 (SD 3·9) years at the time of type 1 diabetes diagnosis and 18·0 (4·1) years at follow-up. At a mean diabetes duration of 7·8 [SD 1·9] years, co-occurrence of any two or more complications was observed in 78 (5·9%) participants, more frequently than expected by chance alone (58 [4·4%], p=0·015). Specifically, the complications that co-occurred more frequently than expected were retinopathy and diabetic kidney disease (11 [0·8%] vs three [0·2%]; p=0·0007), retinopathy and arterial stiffness (13 [1·0%] vs four [0·3%]; p=0·0016), and arterial stiffness and cardiovascular autonomic neuropathy (24 [1·8%] vs 13 [1·0%]; p=0·015). We identified four unique clusters characterised by progressively worsening metabolic risk factor profiles (longer duration of diabetes and higher glycated haemoglobin, non-HDL cholesterol, and waist-to-height ratio). The prevalence of at least two complications increased across the clusters (six [2·3%] of 261 in the low-risk cluster, 32 [6·3%] of 509 in the moderate-risk cluster, 28 [8%] of 348 in the high-risk cluster, and five [20·8%] of 24 in the highest-risk cluster). Compared with the low-risk and moderate-risk clusters, the high-risk and highest-risk clusters were characterised by a lower proportion of participants who were non-Hispanic white, and a higher proportion of participants who had a household income below US$50 000 and did not have private health insurance. INTERPRETATION/CONCLUSIONS:Early complications co-occur in adolescents and young adults with type 1 diabetes more frequently than expected. Identification of individuals with adverse risk factors could enable targeted behavioural or medical interventions that reduce the likelihood of early development of lifelong diabetes-related morbidity. FUNDING/BACKGROUND:US Centers for Disease Control and Prevention, US National Institutes of Health.

Recent advances indicate that biological aging is a potentially modifiable driver of late-life function and chronic disease and have led to the development of geroscience-guided therapeutic trials such as TAME (Targeting Aging with MEtformin). TAME is a proposed randomized clinical trial using metformin to affect molecular aging pathways to slow the incidence of age-related multi-morbidity and functional decline. In trials focusing on clinical end-points (e.g., disease diagnosis or death), biomarkers help show that the intervention is affecting the underlying aging biology before sufficient clinical events have accumulated to test the study hypothesis. Since there is no standard set of biomarkers of aging for clinical trials, an expert panel was convened and comprehensive literature reviews conducted to identify 258 initial candidate biomarkers of aging and age-related disease. Next selection criteria were derived and applied to refine this set emphasizing: (1) measurement reliability and feasibility; (2) relevance to aging; (3) robust and consistent ability to predict all-cause mortality, clinical and functional outcomes; and (4) responsiveness to intervention. Application of these selection criteria to the current literature resulted in a short list of blood-based biomarkers proposed for TAME: IL-6, TNFα-receptor I or II, CRP, GDF15, insulin, IGF1, cystatin C, NT-proBNP, and hemoglobin A1c. The present report provides a conceptual framework for the selection of blood-based biomarkers for use in geroscience-guided clinical trials. This work also revealed the scarcity of well-vetted biomarkers for human studies that reflect underlying biologic aging hallmarks, and the need to leverage proposed trials for future biomarker discovery and validation.

AIMS:To determine among adolescents and young adults with youth-onset type 1 diabetes and type 2 diabetes the rates and risk factors for albuminuria regression and progression. METHODS:Data from SEARCH, a longitudinal observational study of youth-onset type 1 diabetes (N = 1316) and type 2 diabetes (N = 143) were analyzed. Urine albumin:creatinine ratio (UACR) was measured from random urine specimens at baseline and follow-up visits (mean 7 years later). Albuminuria regression was defined as halving of baseline UACR when baseline UACR was ≥30 μg/mg; progression was defined as doubling of baseline UACR when follow-up UACR was ≥30 μg/mg, respectively. Multivariable regression assessed risk factors associated with low-risk albuminuria category (combined persistently-low albuminuria and regression) versus moderate-risk albuminuria category (combined persistently-high albuminuria and progression). RESULTS:Albuminuria progression was more common in type 2 diabetes versus type 1 diabetes (15.4% versus 6.0%, p<0.001). Moderate-risk albuminuria was associated with increasing HbA1c (adjusted OR (aOR) = 1.3, 95% CI 1.1-1.6) and lack of private health insurance (aOR = 2.7, 95%CI 1.1-6.5) in type 1 diabetes; and African American race (OR = 4.6, 95% CI 1.2-14.2), lower estimated insulin sensitivity score (aOR = 2.1, 95% CI 1.4-3.3), baseline UACR (aOR = 3.2, 95% CI 1.7-5.8), and follow-up estimated glomerular filtration rate (eGFR) (10-unit increase aOR = 1.3, 95% CI 1.0, 1.5) in type 2 diabetes. CONCLUSIONS:In the first decade of diabetes duration, kidney complications in type 2 diabetes are significantly more aggressive than in type 1 diabetes and may be associated with less modifiable risk factors including race, insulin sensitivity, and eGFR. Early interventions may help reduce long-term kidney complications.

Background:Viral infections can trigger chronic kidney disease (CKD) and the urine virome may inform risk. The Natural History of APOL1-Associated Nephropathy Study (NHAANS) reported that urine JC polyomavirus (JCPyV) associated with a lower risk of APOL1-associated nephropathy in African Americans. Herein, association was assessed between urine JCPyV with CKD in African Americans independent from the APOL1 genotype. Methods:Quantitative polymerase chain reaction was performed for urinary detection of JCPyV and BK polyoma virus (BKPyV) in 200 newly recruited nondiabetic African Americans. A combined analysis was performed in these individuals plus 300 NHAANS participants. Results:In the 200 new participants, urine JCPyV was present in 8.8% of CKD cases and 45.8% of nonnephropathy controls (P = 3.0 × 10-8). In those with APOL1 renal-risk genotypes, JCPyV was detected in 5.1% of cases and 40.0% of controls (P = 0.0002). In those lacking APOL1 renal-risk genotypes, JCPyV was detected in 12.2% of cases and 48.8% of controls (P = 8.5 × 10-5). BKPyV was detected in 1.3% of cases and 0.8% of controls (P  =  0.77). In a combined analysis with 300 NHAANS participants (n = 500), individuals with urine JCPyV had a 63% lower risk of CKD compared with those without urine JCPyV (odds ratio 0.37; P = 4.6 × 10-6). RNA fluorescence in situ hybridization confirmed the presence of JCPyV genomic DNA and JCPyV messenger RNA (mRNA) in nondiseased kidney. Conclusions:Inverse relationships exist between JCPyV viruria and non-diabetic CKD. Future studies should determine whether renal inflammation associated with CKD is less permissive for JCPyV reactivation/replication or whether JCPyV is a marker of reduced host immune responsiveness that diminishes immune pathologic contributions to CKD.

BACKGROUND:Relationships between cognitive function and brain structure remain poorly defined in African Americans with type 2 diabetes. METHODS:Cognitive testing and cerebral magnetic resonance imaging in African Americans from the Diabetes Heart Study Memory IN Diabetes (n = 480) and Action to Control Cardiovascular Risk in Diabetes MIND (n = 104) studies were examined for associations. Cerebral gray matter volume (GMV), white matter volume (WMV) and white matter lesion volume (WMLV) and cognitive performance (Mini-mental State Exam [MMSE and 3MSE], Digit Symbol Coding (DSC), Stroop test, and Rey Auditory Verbal Learning Test) were recorded. Multivariable models adjusted for age, sex, BMI, scanner, intracranial volume, education, diabetes duration, HbA1c, LDL-cholesterol, smoking, hypertension and cardiovascular disease assessed associations between cognitive tests and brain volumes by study and meta-analysis. RESULTS:). CONCLUSIONS:In African Americans with diabetes, smaller GMV and increased WMLV associated with poorer performance on tests of global cognitive and executive function. These data suggest that WML burden and gray matter atrophy associate with cognitive performance independent of diabetes-related factors in this population.

African Americans carrying two apolipoprotein L1 gene (APOL1) renal risk variants have a high risk for nephropathy. However, only a minority develops end-stage renal disease (ESRD). Hence, modifying factors likely contribute to initiation of kidney disease such as endogenous (HIV infection) or exogenous (interferon treatment) environmental modifiers. In this report, genome-wide association studies and a meta-analysis were performed to identify novel loci for nondiabetic ESRD in African Americans and to detect genetic modifiers in APOL1-associated nephropathy. Two African American cohorts were analyzed, 1749 nondiabetic ESRD cases and 1136 controls from Wake Forest and 901 lupus nephritis (LN)-ESRD cases and 520 controls with systemic lupus erythematosus but lacking nephropathy from the LN-ESRD Consortium. Association analyses adjusting for APOL1 G1/G2 renal-risk variants were completed and stratified by APOL1 risk genotype status. Individual genome-wide association studies and meta-analysis results of all 2650 ESRD cases and 1656 controls did not detect significant genome-wide associations with ESRD beyond APOL1. Similarly, no single nucleotide polymorphism showed significant genome-wide evidence of an interaction with APOL1 risk variants. Thus, although variants with small individual effects cannot be ruled out and are likely to exist, our results suggest that APOL1-environment interactions may be of greater clinical importance in triggering nephropathy in African Americans than APOL1 interactions with other single nucleotide polymorphisms.

Background and Purpose- White matter hyperintensities (WMH) on brain magnetic resonance imaging are typical signs of cerebral small vessel disease and may indicate various preclinical, age-related neurological disorders, such as stroke. Though WMH are highly heritable, known common variants explain a small proportion of the WMH variance. The contribution of low-frequency/rare coding variants to WMH burden has not been explored. Methods- In the discovery sample we recruited 20 719 stroke/dementia-free adults from 13 population-based cohort studies within the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, among which 17 790 were of European ancestry and 2929 of African ancestry. We genotyped these participants at ≈250 000 mostly exonic variants with Illumina HumanExome BeadChip arrays. We performed ethnicity-specific linear regression on rank-normalized WMH in each study separately, which were then combined in meta-analyses to test for association with single variants and genes aggregating the effects of putatively functional low-frequency/rare variants. We then sought replication of the top findings in 1192 adults (European ancestry) with whole exome/genome sequencing data from 2 independent studies. Results- At 17q25, we confirmed the association of multiple common variants in TRIM65, FBF1, and ACOX1 ( P<6×10^-7). We also identified a novel association with 2 low-frequency nonsynonymous variants in MRPL38 (lead, rs34136221; P_EA=4.5×10^-8) partially independent of known common signal ( P_{EA(conditional)}=1.4×10^-3). We further identified a locus at 2q33 containing common variants in NBEAL1, CARF, and WDR12 (lead, rs2351524; P_all=1.9×10^-10). Although our novel findings were not replicated because of limited power and possible differences in study design, meta-analysis of the discovery and replication samples yielded stronger association for the 2 low-frequency MRPL38 variants ( P_rs34136221=2.8×10^-8). Conclusions- Both common and low-frequency/rare functional variants influence WMH. Larger replication and experimental follow-up are essential to confirm our findings and uncover the biological causal mechanisms of age-related WMH.

AIMS:To estimate short-term mortality rates for individuals with type 1 or type 2 diabetes diagnosed before age 20 years from the SEARCH for Diabetes in Youth study. METHODS:We included 8358 individuals newly-diagnosed with type 1 (n = 6840) or type 2 (n = 1518) diabetes from 1/1/2002-12/31/2008. We searched the National Death Index through 12/31/2010. We calculated standardized mortality ratios (SMRs) based on age, sex, and race for the comparable US population in the geographic areas of the SEARCH study. RESULTS:During 44,893 person-years (PY) of observation (median follow-up = 5.3 years), 41 individuals died (91.3 deaths/100,000 PY); 26 with type 1 (70.6 deaths/100,000 PY) and 15 with type 2 (185.6 deaths/100,000 PY) diabetes. The expected mortality rate was 70.9 deaths/100,000 PY. The overall SMR (95% CI) was 1.3 (1.0, 1.8) and was high among individuals with type 2 diabetes 2.4 (1.3, 3.9), females 2.2 (1.3, 3.3), 15-19 year olds 2.7 (1.7,4.0), and non-Hispanic blacks 2.1 (1.2, 3.4). CONCLUSIONS:Compared to the state populations of similar age, sex, and race, our results show excess mortality in individuals with type 2 diabetes, females, older youth, and non-Hispanic blacks. We did not observe excess short-term mortality in individuals with type 1 diabetes.

OBJECTIVE:To estimate the prevalence of and risk factors for cardiovascular autonomic neuropathy (CAN) in adolescents and young adults with type 1 and type 2 diabetes enrolled in the SEARCH for Diabetes in Youth Study. METHODS:The study included 1646 subjects with type 1 diabetes (age 18 ± 4 years, diabetes duration 8 ± 2 years, HbA1c 9.1 ± 1.9%, 76% non-Hispanic Whites) and 252 with type 2 diabetes (age 22 ± 4 years, diabetes duration 8 ± 2 years, HbA1c 9.2 ± 3.0%, 45% non-Hispanic Blacks). Cross-sectional and longitudinal risk factors were assessed at baseline and follow-up visits. Area under the curve (AUC) was used to assess the longitudinal glycemic exposure and cardiovascular risk factors. CAN was assessed by time and frequency domain indices of heart rate variability (HRV). CAN was defined as the presence of ≥3 of 5 abnormal HRV indices. RESULTS:The prevalence of CAN was 12% in adolescents and young adults with type 1 diabetes and 17% in those with type 2 diabetes. Poor long-term glycemic control (AUC HbA1c), high blood pressure, and elevated triglyceride levels were correlates of CAN in subjects with type 1 diabetes. In those with type 2 diabetes, CAN was associated with elevated triglycerides and increased urinary albumin excretion. CONCLUSIONS:The prevalence of CAN in this multiethnic cohort of adolescents and young adults with type 1 and type 2 diabetes are comparable to those reported in adults with diabetes. Suboptimal glycemic control and elevated triglycerides were the modifiable risk factors associated with CAN.