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Utah Population Database (utah + population_database)
Selected AbstractsGene expression profiles associated with aging and mortality in humansAGING CELL, Issue 3 2009Richard A. Kerber Summary We investigated the hypothesis that gene expression profiles in cultured cell lines from adults, aged 57,97 years, contain information about the biological age and potential longevity of the donors. We studied 104 unrelated grandparents from 31 Utah CEU (Centre d'Etude du Polymorphisme Humain , Utah) families, for whom lymphoblastoid cell lines were established in the 1980s. Combining publicly available gene expression data from these cell lines, and survival data from the Utah Population Database, we tested the relationship between expression of 2151 always-expressed genes, age, and survival of the donors. Approximately 16% of 2151 expression levels were associated with donor age: 10% decreased in expression with age, and 6% increased with age. Cell division cycle 42 (CDC42) and CORO1A exhibited strong associations both with age at draw and survival after draw (multiple comparisons-adjusted Monte Carlo P -value < 0.05). In general, gene expressions that increased with age were associated with increased mortality. Gene expressions that decreased with age were generally associated with reduced mortality. A multivariate estimate of biological age modeled from expression data was dominated by CDC42 expression, and was a significant predictor of survival after blood draw. A multivariate model of survival as a function of gene expression was dominated by CORO1A expression. This model accounted for approximately 23% of the variation in survival among the CEU grandparents. Some expression levels were negligibly associated with age in this cross-sectional dataset, but strongly associated with inter-individual differences in survival. These observations may lead to new insights regarding the genetic contribution to exceptional longevity. [source] Is there a trade-off between fertility and longevity?AMERICAN JOURNAL OF HUMAN BIOLOGY, Issue 4 2009A comparative study of women from three large historical databases accounting for mortality selection Frontier populations provide exceptional opportunities to test the hypothesis of a trade-off between fertility and longevity. In such populations, mechanisms favoring reproduction usually find fertile ground, and if these mechanisms reduce longevity, demographers should observe higher postreproductive mortality among highly fertile women. We test this hypothesis using complete female reproductive histories from three large demographic databases: the Registre de la population du Québec ancien (Université de Montréal), which covers the first centuries of settlement in Quebec; the BALSAC database (Université du Québec à Chicoutimi), including comprehensive records for the Saguenay-Lac-St-Jean (SLSJ) in Quebec in the nineteenth and twentieth centuries; and the Utah Population Database (University of Utah), including all individuals who experienced a vital event on the Mormon Trail and their descendants. Together, the three samples allow for comparisons over time and space, and represent one of the largest set of natural fertility cohorts used to simultaneously assess reproduction and longevity. Using survival analyses, we found a negative influence of parity and a positive influence of age at last child on postreproductive survival in the three populations, as well as a significant interaction between these two variables. The effect sizes of all these parameters were remarkably similar in the three samples. However, we found little evidence that early fertility affects postreproductive survival. The use of Heckman's procedure assessing the impact of mortality selection during reproductive ages did not appreciably alter these results. We conclude our empirical investigation by discussing the advantages of comparative approaches. Am. J. Hum. Biol., 2009. © 2009 Wiley-Liss, Inc. [source] Brief communication: Evaluating grandmother effectsAMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY, Issue 1 2009Kristen Hawkes Abstract Women who have outlived child-bearing have long been described as postreproductive. But contributions they make to the survival or fertility of their descendants enhance the reproduction of their genes. Consequently, natural selection affects this characteristic stage of human life history. Grandmother effects can be measured in data sets that include births and deaths over several generations, but unmeasured covariates complicate the task. Here we focus on two complications: cohort shifts in mortality and fertility, and maternal age at death. We use the Utah Population Database to show that longevity of grandmothers may be associated with fewer grandchildren, as reported by Madrigal and Melendez-Obando (Am J Phys Anthropol 136 (2008) 223,229) for a Costa Rican sample, even when grandmother effects are actually positive. Am J Phys Anthropol 2009. © 2009 Wiley-Liss, Inc. [source] Quantification of the familial contribution to juvenile idiopathic arthritisARTHRITIS & RHEUMATISM, Issue 8 2010Sampath Prahalad Objective We previously demonstrated that there is familial aggregation of juvenile idiopathic arthritis (JIA). Using a large JIA cohort, we sought to identify additional clusters of JIA cases and to calculate robust estimates of the relative risk (RR) of JIA in the siblings and cousins of JIA probands. We also estimated the population attributable risk (PAR) of familial factors in JIA. Methods A probabilistic record-linking analysis was performed by matching the records of 862 patients with JIA with the records of ,7 million individuals in the Utah Population Database (UPDB), a computerized genealogic database. For each patient, 5 control subjects matched for birth year and sex were selected from the UPDB. Specialized software was used to test for familial aggregation of disease, to estimate the magnitude of familial risks, and to identify families at high risk of disease. Results We identified 22 founders who had significantly more descendants with JIA than expected (5,13 descendants; P values ranged from <0.0001 to <0.008). The PAR of familial factors for JIA was ,13%. The RR of JIA in the siblings of patients was significantly increased (11.6, 95% confidence interval [95% CI] 4.9,27.5, P < 2.59 × 10,8). The RR of JIA in first cousins was also increased (5.82, 95% CI 2.5,13.8, P < 6.07 × 10,5). Conclusion We have identified the largest sets of JIA pedigrees described to date. Approximately 13% of cases of JIA can be attributed to familial factors. Siblings and first cousins of probands with JIA have an increased risk of JIA. The observed decline in the magnitude of risk between siblings and cousins suggests that JIA is influenced by shared genetic factors. [source] Heritability of vasculopathy, autoimmune disease, and fibrosis in systemic sclerosis: A population-based studyARTHRITIS & RHEUMATISM, Issue 7 2010Tracy Frech Objective To investigate the familiality of systemic sclerosis (SSc) in relation to Raynaud's phenomenon (RP) (a marker of vasculopathy), other autoimmune inflammatory disease, and fibrotic interstitial lung disease (ILD). Methods A genealogic resource, the Utah Population Database (UPDB), was used to test heritability of RP, other autoimmune disease, and ILD. Diseases were defined by International Classification of Diseases, Ninth Revision codes and identified from statewide discharge data, the University of Utah Health Science Center Enterprise Data Warehouse, and death certificates and were linked to the UPDB for analysis. Familial standardized incidence ratio (FSIR), relative risks (RRs) to first-, second-, third-, and fourth-degree relatives for SSc, RP, other autoimmune disease, and ILD (with 95% confidence intervals [95% CIs]), and population attributable risk (PAR) were calculated. Results A software kinship analysis tool was used to analyze 1,037 unique SSc patients. Fifty SSc families had significant FSIRs, ranging from 2.07 to 17.60. The adjusted PAR was ,8%. The RRs were significant for other autoimmune disease in the first-degree relatives (2.49 [95% CI 1.99,3.41], P = 2.42 × 10,15) and second-degree relatives (1.48 [95% CI 1.34,2.39], P = 0.002), for RP in first-degree relatives (6.38 [95% CI 3.44,11.83], P = 4.04 × 10,9) and second-degree relatives (2.39 [95% CI 1.21,4.74], P = 0.012), and for ILD in first-degree relatives (1.53 [95% CI 1.04,2.26], P = 0.03), third-degree relatives (1.47 [95% CI 1.18,1.82], P = 0.0004), and fourth-degree relatives (1.2 [95% CI 1.06,1.35], P = 0.004). Conclusion These data suggest that SSc pedigrees include more RP, autoimmune inflammatory disease, and ILD than would be expected by chance. In SSc pedigrees, genetic predisposition to vasculopathy is the most frequent risk among first-degree relatives. [source] | ||||||||||