Jessica D. Faul
University of Michigan
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Featured researches published by Jessica D. Faul.
International Journal of Epidemiology | 2014
Amanda Sonnega; Jessica D. Faul; Mary Beth Ofstedal; Kenneth M. Langa; John W. R. Phillips; David R. Weir
The Health and Retirement Study (HRS) is a nationally representative longitudinal survey of more than 37 000 individuals over age 50 in 23 000 households in the USA. The survey, which has been fielded every 2 years since 1992, was established to provide a national resource for data on the changing health and economic circumstances associated with ageing at both individual and population levels. Its multidisciplinary approach is focused on four broad topics-income and wealth; health, cognition and use of healthcare services; work and retirement; and family connections. HRS data are also linked at the individual level to administrative records from Social Security and Medicare, Veterans Administration, the National Death Index and employer-provided pension plan information. Since 2006, data collection has expanded to include biomarkers and genetics as well as much greater depth in psychology and social context. This blend of economic, health and psychosocial information provides unprecedented potential to study increasingly complex questions about ageing and retirement. The HRS has been a leading force for rapid release of data while simultaneously protecting the confidentiality of respondents. Three categories of data-public, sensitive and restricted-can be accessed through procedures described on the HRS website (hrsonline.isr.umich.edu).
JAMA Internal Medicine | 2017
Kenneth M. Langa; Eric B. Larson; Eileen M. Crimmins; Jessica D. Faul; Deborah Levine; Mohammed U. Kabeto; David R. Weir
Importance The aging of the US population is expected to lead to a large increase in the number of adults with dementia, but some recent studies in the United States and other high-income countries suggest that the age-specific risk of dementia may have declined over the past 25 years. Clarifying current and future population trends in dementia prevalence and risk has important implications for patients, families, and government programs. Objective To compare the prevalence of dementia in the United States in 2000 and 2012. Design, Setting, and Participants We used data from the Health and Retirement Study (HRS), a nationally representative, population-based longitudinal survey of individuals in the United States 65 years or older from the 2000 (n = 10 546) and 2012 (n = 10 511) waves of the HRS. Main Outcomes and Measures Dementia was identified in each year using HRS cognitive measures and validated methods for classifying self-respondents, as well as those represented by a proxy. Logistic regression was used to identify socioeconomic and health variables associated with change in dementia prevalence between 2000 and 2012. Results The study cohorts had an average age of 75.0 years (95% CI, 74.8-75.2 years) in 2000 and 74.8 years (95% CI, 74.5-75.1 years) in 2012 (P = .24); 58.4% (95% CI, 57.3%-59.4%) of the 2000 cohort was female compared with 56.3% (95% CI, 55.5%-57.0%) of the 2012 cohort (P < .001). Dementia prevalence among those 65 years or older decreased from 11.6% (95% CI, 10.7%-12.7%) in 2000 to 8.8% (95% CI, 8.2%-9.4%) (8.6% with age- and sex-standardization) in 2012 (P < .001). More years of education was associated with a lower risk for dementia, and average years of education increased significantly (from 11.8 years [95% CI, 11.6-11.9 years] to 12.7 years [95% CI, 12.6-12.9 years]; P < .001) between 2000 and 2012. The decline in dementia prevalence occurred even though there was a significant age- and sex-adjusted increase between years in the cardiovascular risk profile (eg, prevalence of hypertension, diabetes, and obesity) among older US adults. Conclusions and Relevance The prevalence of dementia in the United States declined significantly between 2000 and 2012. An increase in educational attainment was associated with some of the decline in dementia prevalence, but the full set of social, behavioral, and medical factors contributing to the decline is still uncertain. Continued monitoring of trends in dementia incidence and prevalence will be important for better gauging the full future societal impact of dementia as the number of older adults increases in the decades ahead.
Journals of Gerontology Series A-biological Sciences and Medical Sciences | 2015
Linda Broer; Aron S. Buchman; Joris Deelen; Daniel S. Evans; Jessica D. Faul; Kathryn L. Lunetta; Paola Sebastiani; Jennifer A. Smith; Albert V. Smith; Toshiko Tanaka; Lei Yu; Alice M. Arnold; Thor Aspelund; Emelia J. Benjamin; Philip L. De Jager; Gudny Eirkisdottir; Denis A. Evans; Melissa Garcia; Albert Hofman; Robert C. Kaplan; Sharon L.R. Kardia; Douglas P. Kiel; Ben A. Oostra; Eric S. Orwoll; Neeta Parimi; Bruce M. Psaty; Fernando Rivadeneira; Jerome I. Rotter; Sudha Seshadri; Andrew Singleton
BACKGROUND The genetic contribution to longevity in humans has been estimated to range from 15% to 25%. Only two genes, APOE and FOXO3, have shown association with longevity in multiple independent studies. METHODS We conducted a meta-analysis of genome-wide association studies including 6,036 longevity cases, age ≥90 years, and 3,757 controls that died between ages 55 and 80 years. We additionally attempted to replicate earlier identified single nucleotide polymorphism (SNP) associations with longevity. RESULTS In our meta-analysis, we found suggestive evidence for the association of SNPs near CADM2 (odds ratio [OR] = 0.81; p value = 9.66 × 10(-7)) and GRIK2 (odds ratio = 1.24; p value = 5.09 × 10(-8)) with longevity. When attempting to replicate findings earlier identified in genome-wide association studies, only the APOE locus consistently replicated. In an additional look-up of the candidate gene FOXO3, we found that an earlier identified variant shows a highly significant association with longevity when including published data with our meta-analysis (odds ratio = 1.17; p value = 1.85×10(-10)). CONCLUSIONS We did not identify new genome-wide significant associations with longevity and did not replicate earlier findings except for APOE and FOXO3. Our inability to find new associations with survival to ages ≥90 years because longevity represents multiple complex traits with heterogeneous genetic underpinnings, or alternatively, that longevity may be regulated by rare variants that are not captured by standard genome-wide genotyping and imputation of common variants.
Nature Genetics | 2016
Chunyu Liu; Aldi T. Kraja; Jennifer A. Smith; Jennifer A. Brody; Nora Franceschini; Joshua C. Bis; Kenneth Rice; Alanna C. Morrison; Yingchang Lu; Stefan Weiss; Xiuqing Guo; Walter Palmas; Lisa W. Martin; Yii-Der Ida Chen; Praveen Surendran; Fotios Drenos; James P. Cook; Paul L. Auer; Audrey Y. Chu; Ayush Giri; Wei Zhao; Johanna Jakobsdottir; Li An Lin; Jeanette M. Stafford; Najaf Amin; Hao Mei; Jie Yao; Arend Voorman; Martin G. Larson; Megan L. Grove
Meta-analyses of association results for blood pressure using exome-centric single-variant and gene-based tests identified 31 new loci in a discovery stage among 146,562 individuals, with follow-up and meta-analysis in 180,726 additional individuals (total n = 327,288). These blood pressure–associated loci are enriched for known variants for cardiometabolic traits. Associations were also observed for the aggregation of rare and low-frequency missense variants in three genes, NPR1, DBH, and PTPMT1. In addition, blood pressure associations at 39 previously reported loci were confirmed. The identified variants implicate biological pathways related to cardiometabolic traits, vascular function, and development. Several new variants are inferred to have roles in transcription or as hubs in protein–protein interaction networks. Genetic risk scores constructed from the identified variants were strongly associated with coronary disease and myocardial infarction. This large collection of blood pressure–associated loci suggests new therapeutic strategies for hypertension, emphasizing a link with cardiometabolic risk.
Proceedings of the National Academy of Sciences of the United States of America | 2013
Emily B. Falk; Luke W. Hyde; Colter Mitchell; Jessica D. Faul; Richard Gonzalez; Mary M. Heitzeg; Daniel P. Keating; Kenneth M. Langa; Meghan E. Martz; Julie Maslowsky; Frederick J. Morrison; Douglas C. Noll; Megan E. Patrick; Fabian T. Pfeffer; Patricia A. Reuter-Lorenz; Moriah E. Thomason; Pamela E. Davis-Kean; Christopher S. Monk; John E. Schulenberg
The last decades of neuroscience research have produced immense progress in the methods available to understand brain structure and function. Social, cognitive, clinical, affective, economic, communication, and developmental neurosciences have begun to map the relationships between neuro-psychological processes and behavioral outcomes, yielding a new understanding of human behavior and promising interventions. However, a limitation of this fast moving research is that most findings are based on small samples of convenience. Furthermore, our understanding of individual differences may be distorted by unrepresentative samples, undermining findings regarding brain–behavior mechanisms. These limitations are issues that social demographers, epidemiologists, and other population scientists have tackled, with solutions that can be applied to neuroscience. By contrast, nearly all social science disciplines, including social demography, sociology, political science, economics, communication science, and psychology, make assumptions about processes that involve the brain, but have incorporated neural measures to differing, and often limited, degrees; many still treat the brain as a black box. In this article, we describe and promote a perspective—population neuroscience—that leverages interdisciplinary expertise to (i) emphasize the importance of sampling to more clearly define the relevant populations and sampling strategies needed when using neuroscience methods to address such questions; and (ii) deepen understanding of mechanisms within population science by providing insight regarding underlying neural mechanisms. Doing so will increase our confidence in the generalizability of the findings. We provide examples to illustrate the population neuroscience approach for specific types of research questions and discuss the potential for theoretical and applied advances from this approach across areas.
Journal of Occupational Health Psychology | 2014
Gwenith G. Fisher; Alicia Stachowski; Frank J. Infurna; Jessica D. Faul; James W. Grosch; Lois E. Tetrick
Age-related changes in cognitive abilities are well-documented, and a very important indicator of health, functioning, and decline in later life. However, less is known about the course of cognitive functioning before and after retirement and specifically whether job characteristics during ones time of employment (i.e., higher vs. lower levels of mental work demands) moderate how cognition changes both before and after the transition to retirement. We used data from n = 4,182 (50% women) individuals in the Health and Retirement Study, a nationally representative panel study in the United States, across an 18 year time span (1992-2010). Data were linked to the O*NET occupation codes to gather information about mental job demands to examine whether job characteristics during ones time of employment moderates level and rate of change in cognitive functioning (episodic memory and mental status) both before and after retirement. Results indicated that working in an occupation characterized by higher levels of mental demands was associated with higher levels of cognitive functioning before retirement, and a slower rate of cognitive decline after retirement. We controlled for a number of important covariates, including socioeconomic (education and income), demographic, and health variables. Our discussion focuses on pathways through which job characteristics may be associated with the course of cognitive functioning in relation to the important transition of retirement. Implications for job design as well as retirement are offered.
PLOS Genetics | 2017
Jingjing Liang; Thu H. Le; Digna R. Velez Edwards; Bamidele O. Tayo; Kyle J. Gaulton; Jennifer A. Smith; Yingchang Lu; Richard Jensen; Guanjie Chen; Lisa R. Yanek; Karen Schwander; Salman M. Tajuddin; Tamar Sofer; Wonji Kim; James Kayima; Colin A. McKenzie; Ervin R. Fox; Michael A. Nalls; J. Hunter Young; Yan V. Sun; Jacqueline M. Lane; Sylvia Cechova; Jie Zhou; Hua Tang; Myriam Fornage; Solomon K. Musani; Heming Wang; Juyoung Lee; Adebowale Adeyemo; Albert W. Dreisbach
Hypertension is a leading cause of global disease, mortality, and disability. While individuals of African descent suffer a disproportionate burden of hypertension and its complications, they have been underrepresented in genetic studies. To identify novel susceptibility loci for blood pressure and hypertension in people of African ancestry, we performed both single and multiple-trait genome-wide association analyses. We analyzed 21 genome-wide association studies comprised of 31,968 individuals of African ancestry, and validated our results with additional 54,395 individuals from multi-ethnic studies. These analyses identified nine loci with eleven independent variants which reached genome-wide significance (P < 1.25×10−8) for either systolic and diastolic blood pressure, hypertension, or for combined traits. Single-trait analyses identified two loci (TARID/TCF21 and LLPH/TMBIM4) and multiple-trait analyses identified one novel locus (FRMD3) for blood pressure. At these three loci, as well as at GRP20/CDH17, associated variants had alleles common only in African-ancestry populations. Functional annotation showed enrichment for genes expressed in immune and kidney cells, as well as in heart and vascular cells/tissues. Experiments driven by these findings and using angiotensin-II induced hypertension in mice showed altered kidney mRNA expression of six genes, suggesting their potential role in hypertension. Our study provides new evidence for genes related to hypertension susceptibility, and the need to study African-ancestry populations in order to identify biologic factors contributing to hypertension.
Human Molecular Genetics | 2015
Kevin T. Nead; Aihua Li; Mackenzie R. Wehner; Binod Neupane; Stefan Gustafsson; Adam S. Butterworth; James C. Engert; A. Darlene Davis; Robert A. Hegele; Ruby Miller; Marcel den Hoed; Kay-Tee Khaw; Tuomas O. Kilpeläinen; Nicholas J. Wareham; Todd L. Edwards; Göran Hallmans; Tibor V. Varga; Sharon L.R. Kardia; Jennifer A. Smith; Wei Zhao; Jessica D. Faul; David R. Weir; Jie Mi; Bo Xi; Samuel Canizales Quinteros; Cyrus Cooper; Avan Aihie Sayer; Karen Jameson; Anders Grøntved; Myriam Fornage
Polymorphisms rs6232 and rs6234/rs6235 in PCSK1 have been associated with extreme obesity [e.g. body mass index (BMI) ≥ 40 kg/m(2)], but their contribution to common obesity (BMI ≥ 30 kg/m(2)) and BMI variation in a multi-ethnic context is unclear. To fill this gap, we collected phenotypic and genetic data in up to 331 175 individuals from diverse ethnic groups. This process involved a systematic review of the literature in PubMed, Web of Science, Embase and the NIH GWAS catalog complemented by data extraction from pre-existing GWAS or custom-arrays in consortia and single studies. We employed recently developed global meta-analytic random-effects methods to calculate summary odds ratios (OR) and 95% confidence intervals (CIs) or beta estimates and standard errors (SE) for the obesity status and BMI analyses, respectively. Significant associations were found with binary obesity status for rs6232 (OR = 1.15, 95% CI 1.06-1.24, P = 6.08 × 10(-6)) and rs6234/rs6235 (OR = 1.07, 95% CI 1.04-1.10, P = 3.00 × 10(-7)). Similarly, significant associations were found with continuous BMI for rs6232 (β = 0.03, 95% CI 0.00-0.07; P = 0.047) and rs6234/rs6235 (β = 0.02, 95% CI 0.00-0.03; P = 5.57 × 10(-4)). Ethnicity, age and study ascertainment significantly modulated the association of PCSK1 polymorphisms with obesity. In summary, we demonstrate evidence that common gene variation in PCSK1 contributes to BMI variation and susceptibility to common obesity in the largest known meta-analysis published to date in genetic epidemiology.
Depression and Anxiety | 2016
Erin C. Dunn; Anna Wiste; Farid Radmanesh; Lynn M. Almli; Stephanie M. Gogarten; Tamar Sofer; Jessica D. Faul; Sharon L.R. Kardia; Jennifer A. Smith; David R. Weir; Wei Zhao; Thomas W. Soare; Saira Saeed Mirza; Karin Hek; Henning Tiemeier; Joseph S. Goveas; Gloria E. Sarto; Beverly M. Snively; Marilyn C. Cornelis; Karestan C. Koenen; Peter Kraft; Shaun Purcell; Kerry J. Ressler; Jonathan Rosand; Sylvia Wassertheil-Smoller; Jordan W. Smoller
Genome‐wide association studies (GWAS) have made little progress in identifying variants linked to depression. We hypothesized that examining depressive symptoms and considering gene–environment interaction (GxE) might improve efficiency for gene discovery. We therefore conducted a GWAS and genome‐wide by environment interaction study (GWEIS) of depressive symptoms.
Journal of Thrombosis and Thrombolysis | 2000
Sam S. Rebello; Jinbao Huang; Jessica D. Faul; Benedict R. Lucchesi
Several preclinical studies have found a poor correlation between the ex vivo platelet inhibitory potency and the in vivo antithrombotic efficacy of GPIIb/IIIa receptor antagonists. The present study was designed to examine the differential in vitro potencies of c7E3, MK-383, DMP-728, and SM-20302 in inhibiting ex vivo platelet aggregation under normocalcemic and hypocalcemic conditions. Human blood was collected in either trisodium citrate (0.37%) or PPACK (20 µg/mL). Platelet aggregation assays were performed in platelet-rich plasma from citrate-anticoagulated blood (cPRP) and PPACK-anticoagulated blood (pPRP) using ADP (20 µM) and TRAP (10 µM) as agonists in the presence of c7E3, MK-383, DMP-728, or SM-20302. The concentration of ionized calcium in cPRP was 16–19 times lower than that in pPRP. The IC50 of c7E3 for inhibiting ADP-induced platelet aggregation in cPRP (2.76 ± 0.11 µg/mL) was 1.6 times lower than that in pPRP (4.46 ± 0.48 µg/mL; P < 0.05). Similarly, the IC50 for c7E3 for inhibiting TRAP-induced platelet aggregation in cPRP (4.52 ± 0.34 µg/mL) was 1.7 times lower than that in pPRP (7.69 ± 0.43 µg/mL; P < 0.05). MK-383, DMP-728, and SM-20302 also demonstrated 1.96-, 1.15-, and 1.43-fold lower IC50 values, respectively, in cPRP as compared with pPRP. Chelation of ionized calcium in pPRP led to a progressive increase in platelet inhibition by all the antagonists. These results suggest that the observed in vitro inhibitory potency of a GPIIb/IIIa receptor antagonist is markedly enhanced when trisodium citrate is used as an anticoagulant to collect blood for ex vivo assay. These findings indicate that dosing regimens for GPIIb/IIIa receptor antagonists based on the platelet inhibition profile in citrate may provide misleading information with respect to their true in vivo antithrombotic efficacy.