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First Name Last Name E-mailsort ascending Telephone Institution Area of Expertise Address 1 Address 2 City State ZIP
Zhi Yu zyu@broadinstitute.org Broad Institute Cardiovascular Genetics, Machine learning, proteomics N/A
Zhu-Ming Zhang zmzhang@wfubmc.edu Wake Forest University School of Medicine Department of Public Health Sciences/EPICARE Medical Center Boulevard Winston-Salem North Carolina 27157
Joseph M. Zmuda zmudaj@edc.pitt.edu 412-624-2970 University of Pittsburgh BODY COMPOSITION, BODY FAT, body fat distribution, body mass index, body size, bone, bone alkaline phosphatase, BONE DENSITY, bone loss, bone mass density, Bone mineral content, Bone Mineral Density, bone remodeling, bone turnover, epidemiology Graduate School of Public Health 130 DeSoto Street Pittsburgh Pennsylvania 15261
Zachary Marcum zmarcum@uw.edu University of Washington accidental falls, ACE Inhibitor, Adverse drug events, Alzheimer’s disease risk factors, anti-hypertensive medication, Anti-Hypertensive Therapy, antihypertensive agents, antihypertensive medication, comparative effectiveness, dementia, health outcomes, health outcomes research, Medicare Part D, Medication, medication inventory, medication trends, medication utilization, Medications, pharmacoepidemiology N/A
Marvin Ziskin ziskin@astro.ocis.temple.edu N/A
Xiao Zhang zhangx29@upmc.edu University of Pittsburgh Graduate School of Public Health Aging N/A
Z. Gordon Jiang zgjiang@bidmc.harvard.edu Beth Israel Deaconess Medical Center lipoprotein metabolism 330 Brookline Ave Boston Massachusetts 02155
Zach Drager zdrager@uw.edu 206-897-1930 CHSCC testing N/A
zach zdtest zdrager@gmail.com uw Apathy N/A
Zhao Chen zchen@email.arizona.edu 520-626-9011 University of Arizona abdominal obesity, active life expectancy, Activities of Daily Living (ADL), Asian American, asthma, BODY COMPOSITION, BODY FAT, body fat distribution, body mass index, body size, bone alkaline phosphatase, BONE DENSITY, bone loss, bone mass density, Bone mineral content, Bone Mineral Density, bone remodeling, brain MRI, cause of death, cause-specific mortality, central obesity, CHS, fall injuries, falls, fat distribution, fat free mass, fat mass, fracture risk, fractures, frail elderly, frailty, gait, gait speed, gait variability, gender, gender differences, genetic data, genetic epidemiology, genetic factors, genome-wide variation, geriatric impairment, Geriatric medicine, geriatric medicine and assessment, Geriatrics, gerontology, health behaviors, health disparities, health outcomes, health related quality of life (HRQL), healthy aging, Hip, Hip Circumference (HIP), hip fracture, Hip fracture prediction, Hip geometry, IGF-1, IL-6, imflammation, Magnetic resonance imaging (MRI), MRI, multi-ethnic, normal aging, nutrient intakes, nutrition, nutritional epidemiology, Odds Ratio, old age, older, older adults, older persons, Oldest old, population, Public Health, public health impact, Pulmonary, risk assessment, risk factor awareness, risk factor control, risk factor treatment, risk factors, risk markers, Risk model, risk prediction, risk predictors, risk score, risk score analysis, Risk Selection, risk stratification, sarcopenia, selection bias, Sex, SEX DIFFERENCES, sex effects, Statistical methods, statistical modeling, variability, Waist circumference (WAIST), Waist-hip-ratio (WHR), White matter grade, white matter lesions, whole-genome analysis, women, years of healthy life (YHL) MEZCOPH, Drachman Hall Rm A240 Tucson Arizona 85704
Zsu-Zsu Chen zchen5@bidmc.harvard.edu Beth Israel Deaconess Medical Center incident type 2 diabetes, metabolomics, proteomics, Type 2 diabetes, Type 2 diabetes mellitus N/A
Yiyi Zhang yz3160@cumc.columbia.edu Columbia University cardiovascular disease (CVD), cardiovascular disease epidemiology, cardiovascular disease risk factors, Cohort study New York
Yilin Yoshida yyoshida1@tulane.edu 504-988-6272 Tulane University age at menopause, biomarkers, cardiometabolic, cardiometabolic disease, cardiometabolic risk, cardiometabolic risk factors, cardiovascular disease (CVD), diabetes, Diabetes Mellitus, diabetes treatment, epidemiology, SEX DIFFERENCES, social determinants of health 1430 Tulane Ave. New Orleans Louisiana 70112
Yuichiro Yano yyano@jichi.jp 3129081718 Northwestern University hypertension 680 North Lake Shore Drive, Suite 1400 Chicago Illinois 606011
Yuling Hong yuling.hong@nih.gov NHLBI active life expectancy, AF, Aging, air pollution health effects, all-cause mortality, Anti-Hypertensive Therapy, ASCVD, AsCVD Risk, atrial fibrillation, atrial fibrillation; lifetime risk; prediction, brain health, C-reactive protein (CRP), cardiometabolic disease, cardiometabolic risk, cardiometabolic risk factors, cardiovascular disease (CVD), cardiovascular disease epidemiology, cardiovascular disease prediction, cardiovascular disease risk factors, cardiovascular gene, Cardiovascular Genetics, cardiovascular health, cardiovascular morbitidy, cardiovascular mortality, cardiovascular outcomes, Cardiovascular Prevention, cardiovascular risk, cardiovascular risk factors, cardiovascular risk prediction, cardiovascular risk score, causal inference, causality, cause-specific mortality, Cerebrovascular disease (CBD), Cerebrovascular risk factors, CHD, CHD mortality, cholesterol, cohort, Cohort study, comorbidities, Coronary Heart Disease Risk, CV Epidemiology, CV risk, CVD epidemiology and prevention, CVD mortality, dietary sodium, disease burden, Epidemiologic methods, epidemiological studies, epidemiology, fasting insulin, Genetic analysis of cardiovascular-related traits, genetic association, genetic epidemiology, HOMA-IR, hypercholesterolemia, hyperinsulinemia, hyperlipidemia, hypertension, ICD CODES, IGF-1, IGFBP, impaired glucose tolerance (IGT), incidence, Insulin resistance, Insulin sensitivity, insulin-like growth factor 1 (IGF-1), insulin-like growth factors, ischemic heart disease, LDL cholesterol, life expectancy, Life's Simple 7, morbidity, mortality, myocardial infarction, observational studies, oral glucose tolerance, population-based, prevalence, prevention, Primary prevention, rate ratio, risk factor, risk factor awareness, risk factor control, risk prediction, risk score N/A
Yujin Lee Yujin.Lee2@tufts.edu Tufts University cardiovascular disease epidemiology N/A
Yuan Luo yuan.luo@northwestern.edu Northwestern University genomics, genotypes, Machine learning, phenome-wide, phenotype, whole exome, whole gene sequencing (WGS), whole genome sequencing, whole-genome analysis N/A
Yuichi Shimada ys3053@cumc.columbia.edu Columbia University cardiomyopathy, ECHO, echocardiogram, echocardiogram abnormalities, echocardiographic correlates, echocardiographic findings, echocardiography, echocardiography (ECHO), HEART DISEASE, heart failure outcomes, heart failure; genetics, Hypertrophy, proteome, proteomics, ventricular hypertrophy, ventricular size, ventricular volume, ventricular wall thickness N/A
Yvonne Michael ylm23@drexel.edu Drexel University School of Public Health epidemiology, Epidemiology of Aging, mobility, spatial epidemiology 3215 Market Street, Nesbitt Hall Philadelphia Pennsylvania 19104
Yao Hu yhu23@fredhutch.org Fred Hutch Cancer Research Center cardiometabolic disease, Genome-wide association studies Seattle Washington 98109
Jenny Yi-Chen Hsieh yhsieh3@uw.edu 2062902370 University of Washington adults, age -related, age at menopause, Aging, Atherosclerotic Cardiovascular Disease, cardioembolic stroke, cardiometabolic disease, cardiometabolic risk, cardiometabolic risk factors, cardiovascular, cardiovascular medication, cardiovascular and thrombotic risk factors, cardiovascular damage, cardiovascular death, cardiovascular disease, cardiovascular disease (CVD), cardiovascular disease epidemiology, cardiovascular disease prediction, cardiovascular disease risk factors, cardiovascular events, cardiovascular exposure, cardiovascular health, cardiovascular health study, Cardiovascular Health Study (CHS), cardiovascular medications, cardiovascular morbitidy, cardiovascular mortality, cardiovascular outcomes, Cardiovascular Prevention, cardiovascular risk, cardiovascular risk factors, cardiovascular risk prediction, caregiver, caregiving, clinical epidemiology; nutrition; heart failure, CLINICAL HEART DISEASE, congestive heart failure, congestive heart failure (CHF), coronary heart disease, coronary heart disease (CHD), coronary heart disease and stroke, disability; cognitive; Medicare; stroke, functional assessment, functional decline, functional dependence, Geriatric Cardiology, Geriatric conditions, Geriatric Heart Failure, geriatric impairment, Geriatric medicine, geriatric medicine and assessment, geriatric syndrome, Geriatrics, Heart, heart failure, heart failure outcomes, Heart failure phenotype. HFpeF, heart failure with preserved ejection fraction, heart failure with reduced ejection fraction, hemorrhagic stroke, incident CHD, incident CHF, incident CVD, incident heart failure, incident stroke, independent activities of daily living (IADL), ischemic heart disease, ischemic stroke, morbidity, mortality, mortality rate, mortality risk, neurobiomarkers, neurofilament light chain, neurofilament llight chain, NT-proBNP, older adult, older adults, postmenopausal estrogen, postmenopausal estrogen, postmenopausal hormone therapy, Postmenopausal hormones, Prevalent CHD, prevalent disease, prevention, preventive, Public Health, public health impact, SEX DIFFERENCES, SOCIOECONOMIC INDICATORS, stroke, stroke in middle age, Stroke incidence, stroke prediction, stroke risk model, stroke severity, survival analysis, vascular disease 3980 15th Ave NE Seattle Washington 98105
Younghoon Kwon yhkwon@uw.edu 6514979411 University of Washington cardiovascular disease (CVD), cardiovascular health, cardiovascular outcomes, Cardiovascular Prevention, echocardiogram, hypertension, Sleep Disordered Breathing, Sleep disorders, systolic function, systolic heart failure 325 9th Ave. | 2CT-69.1 Seattle Washington 98104
Yohannes Endeshaw yendesh@emory.edu 404-728-6698 Emory Universit N/A
Sachin Yende yendes@upmc.edu University of Pittsburgh Department of Critical Care Medicine 641 Scaife Hall Pittsburgh Pennsylvania 15261
Ye Yan ye.yan@nih.gov NHLBI age-related changes, Aging, Alzheimer’s disease, Atherosclerotic Cardiovascular Disease N/A

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