Publications

2017

Fry, Constance L, Thomas C Naugle, Shelley A Cole, Jonathan Gelfond, Geetha Chittoor, Angeline F Mariani, Martin W Goros, Barrett G Haik, and Venkata Saroja Voruganti. (2017) 2017. “The Latino Eyelid: Anthropometric Analysis of a Spectrum of Findings.”. Ophthalmic Plastic and Reconstructive Surgery 33 (6): 440-45. https://doi.org/10.1097/IOP.0000000000000821.

PURPOSE: Published anthropometric measurements of the Latino eyelid are limited. This study describes features spanning the morphologic range from non-Latino whites to East Asians in the spectrum of the Latino eyelid.

METHODS: A cross-sectional study of 68 people (32 Latinos, 18 non-Latino whites, and 18 East Asians, ages 18-39), approved by the Institutional Review Board and HIPAA-compliant, was performed. Saliva samples determined genetic components. Indirect anthropometric measurements were performed with ImageJ software. Eyelid measurements included margin reflex distance, palpebral fissure height, eyelid crease height, orbital height, horizontal fissure length, inner and outer canthal distances, medial and lateral canthal angles, and lateral canthal angle of inclination. Additionally, exophthalmometry and epicanthal folds were recorded.

RESULTS: Analysis of 184 markers from HumanExome Chip data revealed distinct clustering patterns. Genetically, the Asian participants were in 1 group, the whites in another group, and the Latinos spanned the spectrum between these 2 groups. In Latinos, the inner canthal distance and lateral canthal angle of inclination were similar to Asians, whereas the eyelid crease spanned the range from Asians to whites. Half of the Latinos had epicanthal folds.

CONCLUSIONS: Latinos possess a spectrum of eyelid features spanning the morphologic characteristics from those of non-Latino whites to those of East Asians. These normative data on Latinos from Texas and Mexico aid in the diagnoses of Latino eyelid disorders and are a reference for optimizing oculofacial surgery outcomes.

2016

Mamtani, Manju, Hemant Kulkarni, Thomas D Dyer, Harald H H Göring, Jennifer L Neary, Shelley A Cole, Jack W Kent, et al. (2016) 2016. “Genome- and Epigenome-Wide Association Study of Hypertriglyceridemic Waist in Mexican American Families.”. Clinical Epigenetics 8: 6. https://doi.org/10.1186/s13148-016-0173-x.

BACKGROUND: There is growing interest in the hypertriglyceridemic waist (HTGW) phenotype, defined as high waist circumference (≥95 cm in males and ≥80 cm in females) combined with high serum triglyceride concentration (≥2.0 mmol/L in males and ≥1.5 mmol/L in females) as a marker of type 2 diabetes (T2D) and cardiovascular disease. However, the prevalence of this phenotype in high-risk populations, its association with T2D, and the genetic or epigenetic influences on HTGW are not well explored. Using data from large, extended families of Mexican Americans (a high-risk minority population in the USA) we aimed to: (1) estimate the prevalence of this phenotype, (2) test its association with T2D and related traits, and (3) dissect out the genetic and epigenetic associations with this phenotype using genome-wide and epigenome-wide studies, respectively.

RESULTS: Data for this study was from 850 Mexican American participants (representing 39 families) recruited under the ongoing San Antonio Family Heart Study, 26 % of these individuals had HTGW. This phenotype was significantly heritable (h (2) r = 0.52, p = 1.1 × 10(-5)) and independently associated with T2D as well as fasting glucose levels and insulin resistance. We conducted genome-wide association analyses using 759,809 single nucleotide polymorphisms (SNPs) and epigenome-wide association analyses using 457,331 CpG sites. There was no evidence of any SNP associated with HTGW at the genome-wide level but two CpG sites (cg00574958 and cg17058475) in CPT1A and one CpG site (cg06500161) in ABCG1 were significantly associated with HTGW and remained significant after adjusting for the closely related components of metabolic syndrome. CPT1A holds a cardinal position in the metabolism of long-chain fatty acids while ABCG1 plays a role in triglyceride metabolism.

CONCLUSIONS: Our results reemphasize the value of HTGW as a marker of T2D. This phenotype shows association with DNA methylation within CPT1A and ABCG1, genes involved in fatty acid and triglyceride metabolism. Our results underscore the importance of epigenetics in a clinically informative phenotype.

Traurig, Michael, Robert L Hanson, Alejandra Marinelarena, Sayuko Kobes, Paolo Piaggi, Shelley Cole, Joanne E Curran, et al. (2016) 2016. “Analysis of SLC16A11 Variants in 12,811 American Indians: Genotype-Obesity Interaction for Type 2 Diabetes and an Association With RNASEK Expression.”. Diabetes 65 (2): 510-9. https://doi.org/10.2337/db15-0571.

Genetic variants in SLC16A11 were recently reported to be associated with type 2 diabetes in Mexican and other Latin American populations. The diabetes risk haplotype had a frequency of 50% in Native Americans from Mexico but was rare in Europeans and Africans. In the current study, we analyzed SLC16A11 in 12,811 North American Indians and found that the diabetes risk haplotype, tagged by the rs75493593 A allele, was nominally associated with type 2 diabetes (P = 0.001, odds ratio 1.11). However, there was a strong interaction with BMI (P = 5.1 × 10(-7)) such that the diabetes association was stronger in leaner individuals. rs75493593 was also strongly associated with BMI in individuals with type 2 diabetes (P = 3.4 × 10(-15)) but not in individuals without diabetes (P = 0.77). Longitudinal analyses suggest that this is due, in part, to an association of the A allele with greater weight loss following diabetes onset (P = 0.02). Analyses of global gene expression data from adipose tissue, skeletal muscle, and whole blood provide evidence that rs75493593 is associated with expression of the nearby RNASEK gene, suggesting that RNASEK expression may mediate the effect of genotype on diabetes.

Chittoor, Geetha, Jack W Kent, Marcio Almeida, Sobha Puppala, Vidya S Farook, Shelley A Cole, Karin Haack, et al. (2016) 2016. “GWAS and Transcriptional Analysis Prioritize ITPR1 and CNTN4 for a Serum Uric Acid 3p26 QTL in Mexican Americans.”. BMC Genomics 17: 276. https://doi.org/10.1186/s12864-016-2594-5.

BACKGROUND: The variation in serum uric acid concentrations is under significant genetic influence. Elevated SUA concentrations have been linked to increased risk for gout, kidney stones, chronic kidney disease, and cardiovascular disease whereas reduced serum uric acid concentrations have been linked to multiple sclerosis, Parkinson's disease and Alzheimer's disease. Previously, we identified a novel locus on chromosome 3p26 affecting serum uric acid concentrations in Mexican Americans from San Antonio Family Heart Study. As a follow up, we examined genome-wide single nucleotide polymorphism data in an extended cohort of 1281 Mexican Americans from multigenerational families of the San Antonio Family Heart Study and the San Antonio Family Diabetes/Gallbladder Study. We used a linear regression-based joint linkage/association test under an additive model of allelic effect, while accounting for non-independence among family members via a kinship variance component.

RESULTS: Univariate genetic analysis indicated serum uric acid concentrations to be significant heritable (h (2) = 0.50 ± 0.05, p < 4 × 10(-35)), and linkage analysis of serum uric acid concentrations confirmed our previous finding of a novel locus on 3p26 (LOD = 4.9, p < 1 × 10(-5)) in the extended sample. Additionally, we observed strong association of serum uric acid concentrations with variants in following candidate genes in the 3p26 region; inositol 1,4,5-trisphosphate receptor, type 1 (ITPR1), contactin 4 (CNTN4), decapping mRNA 1A (DCP1A); transglutaminase 4 (TGM4) and rho guanine nucleotide exchange factor (GEF) 26 (ARHGEF26) [p < 3 × 10(-7); minor allele frequencies ranged between 0.003 and 0.42] and evidence of cis-regulation for ITPR1 transcripts.

CONCLUSION: Our results confirm the importance of the chromosome 3p26 locus and genetic variants in this region in the regulation of serum uric acid concentrations.

Vazquez-Vidal, Itzel, Geetha Chittoor, Sandra Laston, Sobha Puppala, Zeeba Kayani, Kaizeen Mody, Anthony G Comuzzie, Shelley A Cole, and Saroja Voruganti. (2016) 2016. “Assessment of Cardiovascular Disease Risk Factors in a Genetically Homogenous Population of Parsi Zoroastrians in the United States: A Pilot Study.”. American Journal of Human Biology : The Official Journal of the Human Biology Council 28 (3): 440-3. https://doi.org/10.1002/ajhb.22834.

OBJECTIVE: Genetically isolated and homogenous populations are ideal for detecting genes underlying common complex diseases. The use of isolated populations with reduced disease heterogeneity has led to significant gene discoveries in the past. The aim of this pilot study was to assess the prevalence of cardiovascular disease (CVD) risk phenotypes in a genetically homogenous population of Parsi Zoroastrians in the United States.

METHODS: Anthropometrics, blood pressure, and medical history were collected from 152 men and 186 women participating in a pilot study as part of the Parsi Family Study. The relative pairs used in the study included 60 parent-off springs, 28 siblings, 6 grandparent-grandchild, 7 avuncular, 18 half-siblings, 7 half-avuncular, and one half-first cousin. Estimates of genetic and environmental influence were calculated using a maximum likelihood-based variance components method implemented in SOLAR.

RESULTS: The prevalence of overweight/obesity in adults (62%) was on par with current US prevalence. Hypertension and prehypertension were prevalent in 16% and 46% of the participants, respectively. The quantitative genetic analysis revealed significant heritabilities for all anthropometric phenotypes (P < 0.05). Significant phenotypic correlations were found between blood pressure and anthropometric phenotypes (P < 0.001), whereas significant genetic correlation was found for only diastolic blood pressure and fat free mass (rhoG  = -0.88, P < 0.05).

CONCLUSION: These preliminary data show significant additive genetic effects on CVD-related phenotypes in this population. Our findings represent the first epidemiological data in Parsi Zoroastrians in the United States and offer excellent promise for future genetic studies in this population. Am. J. Hum. Biol. 28:440-443, 2016. © 2016 Wiley Periodicals, Inc.

Peng, Hao, Yun Zhu, Fawn Yeh, Shelley A Cole, Lyle G Best, Jue Lin, Elizabeth Blackburn, et al. (2016) 2016. “Impact of Biological Aging on Arterial Aging in American Indians: Findings from the Strong Heart Family Study.”. Aging 8 (8): 1583-92. https://doi.org/10.18632/aging.101013.

Telomere length, a marker of biological aging, has been associated with cardiovascular disease (CVD). Increased arterial stiffness, an indicator of arterial aging, predicts adverse CVD outcomes. However, the relationship between telomere length and arterial stiffness is less well studied. Here we examined the cross-sectional association between leukocyte telomere length (LTL) and arterial stiffness in 2,165 American Indians in the Strong Heart Family Study (SHFS). LTL was measured by qPCR. Arterial stiffness was assessed by stiffness index β. The association between LTL and arterial stiffness was assessed by generalized estimating equation model, adjusting for sociodemographics (age, sex, education level), study site, metabolic factors (fasting glucose, lipids, systolic blood pressure, and kidney function), lifestyle (BMI, smoking, drinking, and physical activity), and prevalent CVD. Results showed that longer LTL was significantly associated with a decreased arterial stiffness (β=-0.070, P=0.007). This association did not attenuate after further adjustment for hsCRP (β=-0.071, P=0.005) or excluding participants with overt CVD (β=-0.068, P=0.012), diabetes (β=-0.070, P=0.005), or chronic kidney disease (β=-0.090, P=0.001). In summary, shorter LTL was significantly associated with an increased arterial stiffness, independent of known risk factors. This finding may shed light on the potential role of biological aging in arterial aging in American Indians.

Higgins, Paul B, Robert E Shade, Irám P Rodríguez-Sánchez, Magdalena Garcia-Forey, Elizabeth Tejero, Saroja Voruganti, Shelley A Cole, Anthony G Comuzzie, and Franco Folli. (2016) 2016. “Central GIP Signaling Stimulates Peripheral GIP Release and Promotes Insulin and Pancreatic Polypeptide Secretion in Nonhuman Primates.”. American Journal of Physiology. Endocrinology and Metabolism 311 (4): E661-E670. https://doi.org/10.1152/ajpendo.00166.2016.

Glucose-dependent insulinotropic polypeptide (GIP) has important actions on whole body metabolic function. GIP and its receptor are also present in the central nervous system and have been linked to neurotrophic actions. Metabolic effects of central nervous system GIP signaling have not been reported. We investigated whether centrally administered GIP could increase peripheral plasma GIP concentrations and influence the metabolic response to a mixed macronutrient meal in nonhuman primates. An infusion and sampling system was developed to enable continuous intracerebroventricular (ICV) infusions with serial venous sampling in conscious nonhuman primates. Male baboons (Papio sp.) that were healthy and had normal body weights (28.9 ± 2.1 kg) were studied (n = 3). Animals were randomized to receive continuous ICV infusions of GIP (20 pmol·kg-1·h-1) or vehicle before and over the course of a 300-min mixed meal test (15 kcal/kg, 1.5g glucose/kg) on two occasions. A significant increase in plasma GIP concentration was observed under ICV GIP infusion (66.5 ± 8.0 vs. 680.6 ± 412.8 pg/ml, P = 0.04) before administration of the mixed meal. Increases in postprandial, but not fasted, insulin (P = 0.01) and pancreatic polypeptide (P = 0.04) were also observed under ICV GIP. Effects of ICV GIP on fasted or postprandial glucagon, glucose, triglyceride, and free fatty acids were not observed. Our data demonstrate that central GIP signaling can promote increased plasma GIP concentrations independent of nutrient stimulation and increase insulin and pancreatic polypeptide responses to a mixed meal.

Manousaki, Despoina, Jack W Kent, Karin Haack, Sirui Zhou, Pingxing Xie, Celia M Greenwood, Paul Brassard, et al. (2016) 2016. “Toward Precision Medicine: TBC1D4 Disruption Is Common Among the Inuit and Leads to Underdiagnosis of Type 2 Diabetes.”. Diabetes Care 39 (11): 1889-95.

OBJECTIVE: A common nonsense mutation in TBC1D4 was recently found to substantially increase the odds of type 2 diabetes in Greenlandic Inuit, leading to exclusively increased postprandial glucose. We investigated the frequency and effect of the TBC1D4 mutation on glucose metabolism and type 2 diabetes diagnosis among Canadian and Alaskan Inuit.

RESEARCH DESIGN AND METHODS: Exome sequencing of the TBC1D4 variant was performed in 114 Inuit from Nunavik, Canada, and Sanger sequencing was undertaken in 1,027 Alaskan Inuit from the Genetics of Coronary Artery Disease in Alaskan Natives (GOCADAN) Study. Association testing evaluated the effect of the TBC1D4 variant on diabetes-related metabolic traits and diagnosis.

RESULTS: The TBC1D4 mutation was present in 27% of Canadian and Alaskan Inuit. It was strongly associated with higher glucose (effect size +3.3 mmol/L; P = 2.5 x 10-6) and insulin (effect size +175 pmol/L; P = 0.04) 2 h after an oral glucose load in homozygote carriers. TBC1D4 carriers with prediabetes and type 2 diabetes had an increased risk of remaining undiagnosed unless postprandial glucose values were tested (odds ratio 5.4 [95% CI 2.5-12]) compared with noncarriers. Of carriers with prediabetes or type 2 diabetes, 32% would remain undiagnosed without an oral glucose tolerance test (OGTT).

CONCLUSIONS: Disruption of TBC1D4 is common among North American Inuit, resulting in exclusively elevated postprandial glucose. This leads to underdiagnosis of type 2 diabetes, unless an OGTT is performed. Accounting for genetic factors in the care of Inuit with diabetes provides an opportunity to implement precision medicine in this population.

Zhao, Qi, Yun Zhu, Fawn Yeh, Jue Lin, Elisa T Lee, Shelley A Cole, Darren Calhoun, and Jinying Zhao. (2016) 2016. “Depressive Symptoms Are Associated With Leukocyte Telomere Length in American Indians: Findings from the Strong Heart Family Study.”. Aging 8 (11): 2961-70. https://doi.org/10.18632/aging.101104.

Patients with depression have an increased risk for many aging-related disorders, but the biological mechanisms underlying this link remain to be determined. Here we examined the association between depressive symptoms and leukocyte telomere length (LTL), a marker of biological aging, among 2,175 American Indians participating in the Strong Heart Family Study. Depressive symptoms were assessed by the Center for Epidemiologic Studies of Depression Scale (CES-D), which was categorized into four levels: none (< 10), mild (10-15), moderate (16 -24), and severe (> 24). LTL (T/S ratio) was quantified by qPCR. The association between depressive symptoms and LTL was examined by multivariate generalized estimating equation models, adjusting for sociodemographic factors, lifestyle factors, and chronic conditions. Results showed that individuals with a higher level of depressive symptoms had shorter LTL. Specifically, LTL in participants reporting none, mild, moderate, and severe depressive symptoms were 1.000, 0.999, 0.988, and 0.966, respectively (P for trend = 0.0278). Moreover, gender appears to modulate the effect of reported depressive symptoms that fall in the severe range (CES-D > 24) on LTL (P for interaction = 0.0346). Our results suggest that depressive symptoms may accelerate biological aging through pathways beyond traditional risk factors in American Indians.

2015

Laston, Sandra L, Saroja Voruganti, Karin Haack, Vallabh O Shah, Arlene Bobelu, Jeanette Bobelu, Donica Ghahate, et al. (2015) 2015. “Genetics of Kidney Disease and Related Cardiometabolic Phenotypes in Zuni Indians: The Zuni Kidney Project.”. Frontiers in Genetics 6: 6. https://doi.org/10.3389/fgene.2015.00006.

The objective of this study is to identify genetic factors associated with chronic kidney disease (CKD) and related cardiometabolic phenotypes among participants of the Genetics of Kidney Disease in Zuni Indians study. The study was conducted as a community-based participatory research project in the Zuni Indians, a small endogamous tribe in rural New Mexico. We recruited 998 members from 28 extended multigenerational families, ascertained through probands with CKD who had at least one sibling with CKD. We used the Illumina Infinium Human1M-Duo version 3.0 BeadChips to type 1.1 million single nucleotide polymorphisms (SNPs). Prevalence estimates for CKD, hyperuricemia, diabetes, and hypertension were 24%, 30%, 17% and 34%, respectively. We found a significant (p < 1.58 × 10(-7)) association for a SNP in a novel gene for serum creatinine (PTPLAD2). We replicated significant associations for genes with serum uric acid (SLC2A9), triglyceride levels (APOA1, BUD13, ZNF259), and total cholesterol (PVRL2). We found novel suggestive associations (p < 1.58 × 10(-6)) for SNPs in genes with systolic (OLFML2B), and diastolic blood pressure (NFIA). We identified a series of genes associated with CKD and related cardiometabolic phenotypes among Zuni Indians, a population with a high prevalence of kidney disease. Illuminating genetic variations that modulate the risk for these disorders may ultimately provide a basis for novel preventive strategies and therapeutic interventions.