ID

45055

Description

Principal Investigator: Michele M. Sale, PhD, University of Virginia, Charlottesville, VA, USA MeSH: Type 2 Diabetes Mellitus,Dyslipidemia https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000433 Recent genome-wide association studies (GWAS) have successfully identified genetic variants that influence diabetes risk in European populations, however most do not have a major impact on diabetes risk in populations of African descent. The African American (AA) population from the Sea Islands of coastal South Carolina and Georgia has high rates of type 2 diabetes, low levels of admixture, and in general, consume a diet rich in saturated fats. We postulate that this unique combination of ancestral and environmental factors results in a more consistent penetrance of diabetes risk alleles, as well as enrichment of risk alleles of African origin. The existing DNA samples and rich phenotypic data from the Sea Island Families Project comprise a unique resource for genetic studies of type 2 diabetes and related metabolic traits such as dyslipidemia. Our central hypothesis is that the increased risk for T2DM in AA compared with European American (EA) is due, in part, to susceptibility alleles of African origin, and that these alleles can be identified using a GWAS. The Specific Aims are to: 1) Identify genetic risk factors for type 2 diabetes utilizing DNA samples and data from the Sea Island Families Project, Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study recruited from SC, GA, NC, and AL; and a GWAS approach; 2) Identify genetic contributors to lipoprotein subclasses in African Americans using the lipoprotein subclass profile (particle size and concentration for multiple subclasses of VLDL, LDL, and HDL) assessed by NMR at LipoScience, Inc., and the GWAS data from Aim 1. The rationale for this project is that identification and validation of novel pathophysiological pathways and informed selection of candidate genes for diabetes risk will inform development of new, targeted prevention and treatment strategies in this underserved, high risk population.

Link

https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000433

Keywords

  1. 8/4/22 8/4/22 - Chiara Middel
  2. 10/12/22 10/12/22 - Adrian Schulz
Copyright Holder

Michele M. Sale, PhD, University of Virginia, Charlottesville, VA, USA

Uploaded on

August 4, 2022

DOI

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License

Creative Commons BY 4.0

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dbGaP phs000433 The Sea Islands Genetic Network (SIGNET)

Eligibility Criteria

Inclusion and exclusion criteria
Description

Inclusion and exclusion criteria

Alias
UMLS CUI [1,1]
C1512693
UMLS CUI [1,2]
C0680251
*Project SuGAR* Project SuGAR enlisted medical clinics, churches, and established organizations on the Sea Islands to aid in identifying patients with T2DM who belong to families with multiple affected members. Inclusion criteria included at least one affected sibling pair, no more than one of the parents affected with T2DM, and at least one parent still living. All members of families meeting these minimal criteria were studied after obtaining informed consent. Project SuGAR assessed medical, anthropometrical, and metabolic information on affected and non-affected family members. The data are based on a multipage questionnaire, detailed family history and medical history, standardized blood pressures, physical examination, body dimensions and estimation of percent body fat, and laboratory testing. Blood pressure measurements were taken in the dominant arm with the patient having been in the sitting position for 5 minutes. Measurements were made using a calibrated, automated cuff device (DynaMap, New Brunswick, NJ); diastolic and systolic values represent the mean of the last two out of three sequential readings taken 3 minutes apart. Weights were determined using electronic calibrated scales (Detecto, Cleveland, OH) at 8-10AM after voiding and before breakfast. Heights were measured with a portable Harpenden statiometer. Standard arm, waist, hip and thigh circumferences were recorded using a tension-controlled tape measure (Novel Products, Rockton, IL). Body composition was assessed by standard caliper measurements of skin fold thickness in men and women, and also by segmental bioelectric impedance analyzer. Blood samples were drawn from all individuals. 20-40 ml was used for DNA extraction and 20 ml for laboratory tests. Laboratory testing included NMR lipid profiles; complete blood count; electrolytes; creatinine/BUN; liver function tests; hemoglobin A1C; fasting lipid panel (cholesterol, triglycerides, HDL); circulating islet cell antibodies (if diabetic); fasting glucose, insulin, C-peptide, proinsulin, and free fatty acids (FFA); and urine ACR. All non-diabetic family members have been evaluated with an oral glucose tolerance test (OGTT) with measurement of glucose and insulin. In the initial phases, all diabetic patients were also studied with an OGTT, however, approximately half-way through the study, OGTTs were discontinued as a time/cost saving measure in those patients in whom diabetes was clearly evident based on clinical grounds and fasting glucose level. The criteria established by the National Diabetes Data Group as modified by the Expert Committee of the American Diabetes Association were used to define diabetes status.
Description

Elig.phs000433.v1.p1.1

Data type

boolean

Alias
UMLS CUI [1,1]
C1269815
UMLS CUI [1,2]
C0011860
UMLS CUI [1,3]
C4316741
UMLS CUI [1,4]
C0522476
UMLS CUI [2,1]
C1512693
UMLS CUI [2,2]
C0522476
UMLS CUI [2,3]
C0037047
UMLS CUI [2,4]
C0030551
UMLS CUI [2,5]
C0021430
UMLS CUI [3,1]
C1516048
UMLS CUI [3,2]
C3846158
UMLS CUI [3,3]
C0262926
UMLS CUI [3,4]
C0311400
UMLS CUI [3,5]
C1533716
UMLS CUI [3,6]
C0086282
UMLS CUI [3,7]
C0522476
UMLS CUI [4,1]
C1516048
UMLS CUI [4,2]
C3846158
UMLS CUI [4,3]
C0262926
UMLS CUI [4,4]
C0311400
UMLS CUI [4,5]
C1533716
UMLS CUI [4,6]
C0086282
UMLS CUI [4,7]
C0522477
UMLS CUI [5,1]
C4684616
UMLS CUI [5,2]
C0034394
UMLS CUI [5,3]
C0241889
UMLS CUI [5,4]
C0262926
UMLS CUI [5,5]
C0005823
UMLS CUI [5,6]
C0031809
UMLS CUI [5,7]
C1268086
UMLS CUI [5,8]
C0344335
UMLS CUI [5,9]
C0022885
UMLS CUI [6,1]
C0005823
UMLS CUI [6,2]
C0449722
UMLS CUI [6,3]
C0277814
UMLS CUI [6,4]
C0242485
UMLS CUI [6,5]
C0205554
UMLS CUI [6,6]
C0025080
UMLS CUI [6,7]
C0444504
UMLS CUI [6,8]
C0439064
UMLS CUI [6,9]
C0242485
UMLS CUI [7,1]
C0005910
UMLS CUI [7,2]
C0242485
UMLS CUI [7,3]
C0013850
UMLS CUI [7,4]
C0175659
UMLS CUI [7,5]
C0332152
UMLS CUI [7,6]
C2698559
UMLS CUI [8,1]
C0005890
UMLS CUI [8,2]
C0242485
UMLS CUI [8,3]
C3204153
UMLS CUI [9,1]
C0512903
UMLS CUI [9,2]
C0455829
UMLS CUI [9,3]
C0562350
UMLS CUI [9,4]
C0424682
UMLS CUI [9,5]
C0039866
UMLS CUI [9,6]
C0233494
UMLS CUI [9,7]
C0336570
UMLS CUI [10,1]
C0005885
UMLS CUI [10,2]
C0242485
UMLS CUI [10,3]
C0424680
UMLS CUI [10,4]
C0086582
UMLS CUI [10,5]
C0086287
UMLS CUI [10,6]
C1704746
UMLS CUI [11,1]
C0178913
UMLS CUI [11,2]
C5555685
UMLS CUI [11,3]
C0022885
UMLS CUI [11,4]
C0028580
UMLS CUI [11,5]
C0850354
UMLS CUI [11,6]
C0009555
UMLS CUI [11,7]
C0013832
UMLS CUI [11,8]
C0010294
UMLS CUI [11,9]
C0023901
UMLS CUI [11,10]
C0019018
UMLS CUI [11,11]
C0430044
UMLS CUI [11,12]
C0063900
UMLS CUI [11,13]
C0428568
UMLS CUI [11,14]
C0021641
UMLS CUI [11,15]
C0006558
UMLS CUI [11,16]
C0033362
UMLS CUI [11,17]
C0373606
UMLS CUI [11,18]
C0042036
UMLS CUI [11,19]
C0428627
UMLS CUI [12,1]
C0086282
UMLS CUI [12,2]
C1298908
UMLS CUI [12,3]
C0011849
UMLS CUI [12,4]
C0220825
UMLS CUI [12,5]
C0029161
UMLS CUI [12,6]
C0242485
UMLS CUI [12,7]
C0017725
UMLS CUI [12,8]
C0021641
UMLS CUI [13,1]
C0029161
UMLS CUI [13,2]
C1444662
UMLS CUI [13,3]
C0241863
UMLS CUI [13,4]
C0030705
UMLS CUI [14,1]
C0243161
UMLS CUI [14,2]
C0443211
UMLS CUI [14,3]
C1705019
UMLS CUI [14,4]
C1704788
UMLS CUI [14,5]
C1317301
*COBRE Oral Health* Additional AA diabetes patients have been recruited from the Sea Island population, as part of a previous South Carolina COBRE (Center of Biomedical Research Excellence) Oral Health pilot project, "An Epidemiological Study of Periodontal Disease and Diabetes: Cytokine Genes and Inflammation Factors" by Jyotika Fernandes, M.D. (MUSC). This is another study under the Sea Island Families Project umbrella. AA 18 years and older, with T2DM, living along the South Carolina border and 30 miles inland were included in the study. Type 1 diabetic individuals and edentulous patients were excluded from the study. All subjects answered a detailed questionnaire that focused on their medical and dental history. Blood and urine samples were collected for assessing diabetes control status and associated complications. These subjects underwent a single oral examination to document periodontal health.
Description

Elig.phs000433.v1.p1.2

Data type

boolean

Alias
UMLS CUI [1,1]
C1524062
UMLS CUI [1,2]
C0241863
UMLS CUI [1,3]
C0030705
UMLS CUI [2,1]
C1512693
UMLS CUI [2,2]
C0011860
UMLS CUI [2,3]
C0001779
UMLS CUI [3,1]
C0680251
UMLS CUI [3,2]
C0011854
UMLS CUI [3,3]
C0026644
UMLS CUI [4,1]
C0034394
UMLS CUI [4,2]
C0262926
UMLS CUI [4,3]
C2133634
UMLS CUI [4,4]
C0005834
UMLS CUI [4,5]
C0200354
UMLS CUI [4,6]
C1317301
UMLS CUI [4,7]
C0376306
*SLE in Gullah Health (SLEIGH)* The Systemic Lupus Erythmatosus (SLE) in Gullah Health (SLEIGH) study (PI Gary Gilkeson, M.D.) is a population based case-control study of genetic and environmental risk factors for SLE. SLEIGH has been enrolling subjects since August 2003. All subjects have been enrolled through MUSC and the Medical College of Georgia. The inclusion criteria are: 1) age ≥2 years, 2) self-identification as AA Gullah from the Sea Islands region of South Carolina, with no known ancestors who were not of Gullah lineage, 3) having met at least 4 of the 11 American College of Rheumatology (ACR) classification criteria for SLE, 4) being able to speak and understand English, and 5) having the ability and willingness to give informed consent. First-degree relatives of the lupus probands are also invited to enroll. The subjects' parents and grandparents were also required to be of Sea Islands heritage. SLEIGH recruits healthy AA subjects from the Sea Islands community as age- and sex-matched controls, with the requirement that they must not have any history of autoimmune disease or known family members with SLE. In addition, these subjects had to have <4 positive responses on a connective tissue diseases screening questionnaire, and <3 of the ACR classification criteria for SLE. Blood and urine specimens are collected for DNA and disease activity labs.
Description

Elig.phs000433.v1.p1.3

Data type

boolean

Alias
UMLS CUI [1,1]
C0024141
UMLS CUI [1,2]
C0947630
UMLS CUI [1,3]
C0814299
UMLS CUI [1,4]
C0686732
UMLS CUI [2,1]
C1512693
UMLS CUI [2,2]
C0001779
UMLS CUI [2,3]
C0037716
UMLS CUI [2,4]
C5447420
UMLS CUI [2,5]
C0243161
UMLS CUI [2,6]
C4055473
UMLS CUI [2,7]
C0581906
UMLS CUI [2,8]
C4489392
UMLS CUI [2,9]
C0376245
UMLS CUI [2,10]
C0021430
UMLS CUI [3,1]
C1516879
UMLS CUI [3,2]
C1517194
UMLS CUI [4,1]
C0009932
UMLS CUI [4,2]
C2986479
UMLS CUI [4,3]
C0037716
UMLS CUI [4,4]
C0332122
UMLS CUI [4,5]
C0004364
UMLS CUI [4,6]
C0205309
UMLS CUI [4,7]
C0086282
UMLS CUI [4,8]
C0024141
UMLS CUI [4,9]
C0009782
UMLS CUI [4,10]
C1134635
UMLS CUI [4,11]
C4055473
UMLS CUI [4,12]
C0005834
UMLS CUI [4,13]
C0200354
*Reasons for Geographic and Racial Differences in Stroke (REGARDS)* The Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study is a national, population-based, longitudinal study of 30,000 AA and EA adults. Participants were randomly sampled with recruitment by mail then telephone. Individuals aged 45 years old and older were eligible for inclusion in the REGARDS cohort, for which enrollment began in February 2003. Exclusion criteria for REGARDS participation included active treatment for cancer; any serious medical condition which would prevent long-term participation; cognitive impairment as judged by the interviewer; living in a nursing home or on the waiting list for a nursing home; and a language barrier (speaks other than English).
Description

Elig.phs000433.v1.p1.4

Data type

boolean

Alias
UMLS CUI [1,1]
C4553565
UMLS CUI [1,2]
C2949735
UMLS CUI [1,3]
C0024492
UMLS CUI [1,4]
C0039457
UMLS CUI [2,1]
C1512693
UMLS CUI [2,2]
C0001779
UMLS CUI [3,1]
C0680251
UMLS CUI [3,2]
C0920425
UMLS CUI [3,3]
C3843040
UMLS CUI [3,4]
C0338656
UMLS CUI [3,5]
C0425205
UMLS CUI [3,6]
C0237167

Similar models

Eligibility Criteria

Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
Inclusion and exclusion criteria
C1512693 (UMLS CUI [1,1])
C0680251 (UMLS CUI [1,2])
Elig.phs000433.v1.p1.1
Item
*Project SuGAR* Project SuGAR enlisted medical clinics, churches, and established organizations on the Sea Islands to aid in identifying patients with T2DM who belong to families with multiple affected members. Inclusion criteria included at least one affected sibling pair, no more than one of the parents affected with T2DM, and at least one parent still living. All members of families meeting these minimal criteria were studied after obtaining informed consent. Project SuGAR assessed medical, anthropometrical, and metabolic information on affected and non-affected family members. The data are based on a multipage questionnaire, detailed family history and medical history, standardized blood pressures, physical examination, body dimensions and estimation of percent body fat, and laboratory testing. Blood pressure measurements were taken in the dominant arm with the patient having been in the sitting position for 5 minutes. Measurements were made using a calibrated, automated cuff device (DynaMap, New Brunswick, NJ); diastolic and systolic values represent the mean of the last two out of three sequential readings taken 3 minutes apart. Weights were determined using electronic calibrated scales (Detecto, Cleveland, OH) at 8-10AM after voiding and before breakfast. Heights were measured with a portable Harpenden statiometer. Standard arm, waist, hip and thigh circumferences were recorded using a tension-controlled tape measure (Novel Products, Rockton, IL). Body composition was assessed by standard caliper measurements of skin fold thickness in men and women, and also by segmental bioelectric impedance analyzer. Blood samples were drawn from all individuals. 20-40 ml was used for DNA extraction and 20 ml for laboratory tests. Laboratory testing included NMR lipid profiles; complete blood count; electrolytes; creatinine/BUN; liver function tests; hemoglobin A1C; fasting lipid panel (cholesterol, triglycerides, HDL); circulating islet cell antibodies (if diabetic); fasting glucose, insulin, C-peptide, proinsulin, and free fatty acids (FFA); and urine ACR. All non-diabetic family members have been evaluated with an oral glucose tolerance test (OGTT) with measurement of glucose and insulin. In the initial phases, all diabetic patients were also studied with an OGTT, however, approximately half-way through the study, OGTTs were discontinued as a time/cost saving measure in those patients in whom diabetes was clearly evident based on clinical grounds and fasting glucose level. The criteria established by the National Diabetes Data Group as modified by the Expert Committee of the American Diabetes Association were used to define diabetes status.
boolean
C1269815 (UMLS CUI [1,1])
C0011860 (UMLS CUI [1,2])
C4316741 (UMLS CUI [1,3])
C0522476 (UMLS CUI [1,4])
C1512693 (UMLS CUI [2,1])
C0522476 (UMLS CUI [2,2])
C0037047 (UMLS CUI [2,3])
C0030551 (UMLS CUI [2,4])
C0021430 (UMLS CUI [2,5])
C1516048 (UMLS CUI [3,1])
C3846158 (UMLS CUI [3,2])
C0262926 (UMLS CUI [3,3])
C0311400 (UMLS CUI [3,4])
C1533716 (UMLS CUI [3,5])
C0086282 (UMLS CUI [3,6])
C0522476 (UMLS CUI [3,7])
C1516048 (UMLS CUI [4,1])
C3846158 (UMLS CUI [4,2])
C0262926 (UMLS CUI [4,3])
C0311400 (UMLS CUI [4,4])
C1533716 (UMLS CUI [4,5])
C0086282 (UMLS CUI [4,6])
C0522477 (UMLS CUI [4,7])
C4684616 (UMLS CUI [5,1])
C0034394 (UMLS CUI [5,2])
C0241889 (UMLS CUI [5,3])
C0262926 (UMLS CUI [5,4])
C0005823 (UMLS CUI [5,5])
C0031809 (UMLS CUI [5,6])
C1268086 (UMLS CUI [5,7])
C0344335 (UMLS CUI [5,8])
C0022885 (UMLS CUI [5,9])
C0005823 (UMLS CUI [6,1])
C0449722 (UMLS CUI [6,2])
C0277814 (UMLS CUI [6,3])
C0242485 (UMLS CUI [6,4])
C0205554 (UMLS CUI [6,5])
C0025080 (UMLS CUI [6,6])
C0444504 (UMLS CUI [6,7])
C0439064 (UMLS CUI [6,8])
C0242485 (UMLS CUI [6,9])
C0005910 (UMLS CUI [7,1])
C0242485 (UMLS CUI [7,2])
C0013850 (UMLS CUI [7,3])
C0175659 (UMLS CUI [7,4])
C0332152 (UMLS CUI [7,5])
C2698559 (UMLS CUI [7,6])
C0005890 (UMLS CUI [8,1])
C0242485 (UMLS CUI [8,2])
C3204153 (UMLS CUI [8,3])
C0512903 (UMLS CUI [9,1])
C0455829 (UMLS CUI [9,2])
C0562350 (UMLS CUI [9,3])
C0424682 (UMLS CUI [9,4])
C0039866 (UMLS CUI [9,5])
C0233494 (UMLS CUI [9,6])
C0336570 (UMLS CUI [9,7])
C0005885 (UMLS CUI [10,1])
C0242485 (UMLS CUI [10,2])
C0424680 (UMLS CUI [10,3])
C0086582 (UMLS CUI [10,4])
C0086287 (UMLS CUI [10,5])
C1704746 (UMLS CUI [10,6])
C0178913 (UMLS CUI [11,1])
C5555685 (UMLS CUI [11,2])
C0022885 (UMLS CUI [11,3])
C0028580 (UMLS CUI [11,4])
C0850354 (UMLS CUI [11,5])
C0009555 (UMLS CUI [11,6])
C0013832 (UMLS CUI [11,7])
C0010294 (UMLS CUI [11,8])
C0023901 (UMLS CUI [11,9])
C0019018 (UMLS CUI [11,10])
C0430044 (UMLS CUI [11,11])
C0063900 (UMLS CUI [11,12])
C0428568 (UMLS CUI [11,13])
C0021641 (UMLS CUI [11,14])
C0006558 (UMLS CUI [11,15])
C0033362 (UMLS CUI [11,16])
C0373606 (UMLS CUI [11,17])
C0042036 (UMLS CUI [11,18])
C0428627 (UMLS CUI [11,19])
C0086282 (UMLS CUI [12,1])
C1298908 (UMLS CUI [12,2])
C0011849 (UMLS CUI [12,3])
C0220825 (UMLS CUI [12,4])
C0029161 (UMLS CUI [12,5])
C0242485 (UMLS CUI [12,6])
C0017725 (UMLS CUI [12,7])
C0021641 (UMLS CUI [12,8])
C0029161 (UMLS CUI [13,1])
C1444662 (UMLS CUI [13,2])
C0241863 (UMLS CUI [13,3])
C0030705 (UMLS CUI [13,4])
C0243161 (UMLS CUI [14,1])
C0443211 (UMLS CUI [14,2])
C1705019 (UMLS CUI [14,3])
C1704788 (UMLS CUI [14,4])
C1317301 (UMLS CUI [14,5])
Elig.phs000433.v1.p1.2
Item
*COBRE Oral Health* Additional AA diabetes patients have been recruited from the Sea Island population, as part of a previous South Carolina COBRE (Center of Biomedical Research Excellence) Oral Health pilot project, "An Epidemiological Study of Periodontal Disease and Diabetes: Cytokine Genes and Inflammation Factors" by Jyotika Fernandes, M.D. (MUSC). This is another study under the Sea Island Families Project umbrella. AA 18 years and older, with T2DM, living along the South Carolina border and 30 miles inland were included in the study. Type 1 diabetic individuals and edentulous patients were excluded from the study. All subjects answered a detailed questionnaire that focused on their medical and dental history. Blood and urine samples were collected for assessing diabetes control status and associated complications. These subjects underwent a single oral examination to document periodontal health.
boolean
C1524062 (UMLS CUI [1,1])
C0241863 (UMLS CUI [1,2])
C0030705 (UMLS CUI [1,3])
C1512693 (UMLS CUI [2,1])
C0011860 (UMLS CUI [2,2])
C0001779 (UMLS CUI [2,3])
C0680251 (UMLS CUI [3,1])
C0011854 (UMLS CUI [3,2])
C0026644 (UMLS CUI [3,3])
C0034394 (UMLS CUI [4,1])
C0262926 (UMLS CUI [4,2])
C2133634 (UMLS CUI [4,3])
C0005834 (UMLS CUI [4,4])
C0200354 (UMLS CUI [4,5])
C1317301 (UMLS CUI [4,6])
C0376306 (UMLS CUI [4,7])
Elig.phs000433.v1.p1.3
Item
*SLE in Gullah Health (SLEIGH)* The Systemic Lupus Erythmatosus (SLE) in Gullah Health (SLEIGH) study (PI Gary Gilkeson, M.D.) is a population based case-control study of genetic and environmental risk factors for SLE. SLEIGH has been enrolling subjects since August 2003. All subjects have been enrolled through MUSC and the Medical College of Georgia. The inclusion criteria are: 1) age ≥2 years, 2) self-identification as AA Gullah from the Sea Islands region of South Carolina, with no known ancestors who were not of Gullah lineage, 3) having met at least 4 of the 11 American College of Rheumatology (ACR) classification criteria for SLE, 4) being able to speak and understand English, and 5) having the ability and willingness to give informed consent. First-degree relatives of the lupus probands are also invited to enroll. The subjects' parents and grandparents were also required to be of Sea Islands heritage. SLEIGH recruits healthy AA subjects from the Sea Islands community as age- and sex-matched controls, with the requirement that they must not have any history of autoimmune disease or known family members with SLE. In addition, these subjects had to have <4 positive responses on a connective tissue diseases screening questionnaire, and <3 of the ACR classification criteria for SLE. Blood and urine specimens are collected for DNA and disease activity labs.
boolean
C0024141 (UMLS CUI [1,1])
C0947630 (UMLS CUI [1,2])
C0814299 (UMLS CUI [1,3])
C0686732 (UMLS CUI [1,4])
C1512693 (UMLS CUI [2,1])
C0001779 (UMLS CUI [2,2])
C0037716 (UMLS CUI [2,3])
C5447420 (UMLS CUI [2,4])
C0243161 (UMLS CUI [2,5])
C4055473 (UMLS CUI [2,6])
C0581906 (UMLS CUI [2,7])
C4489392 (UMLS CUI [2,8])
C0376245 (UMLS CUI [2,9])
C0021430 (UMLS CUI [2,10])
C1516879 (UMLS CUI [3,1])
C1517194 (UMLS CUI [3,2])
C0009932 (UMLS CUI [4,1])
C2986479 (UMLS CUI [4,2])
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C0005834 (UMLS CUI [4,12])
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Elig.phs000433.v1.p1.4
Item
*Reasons for Geographic and Racial Differences in Stroke (REGARDS)* The Reasons for Geographic and Racial Differences in Stroke (REGARDS) Study is a national, population-based, longitudinal study of 30,000 AA and EA adults. Participants were randomly sampled with recruitment by mail then telephone. Individuals aged 45 years old and older were eligible for inclusion in the REGARDS cohort, for which enrollment began in February 2003. Exclusion criteria for REGARDS participation included active treatment for cancer; any serious medical condition which would prevent long-term participation; cognitive impairment as judged by the interviewer; living in a nursing home or on the waiting list for a nursing home; and a language barrier (speaks other than English).
boolean
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C0024492 (UMLS CUI [1,3])
C0039457 (UMLS CUI [1,4])
C1512693 (UMLS CUI [2,1])
C0001779 (UMLS CUI [2,2])
C0680251 (UMLS CUI [3,1])
C0920425 (UMLS CUI [3,2])
C3843040 (UMLS CUI [3,3])
C0338656 (UMLS CUI [3,4])
C0425205 (UMLS CUI [3,5])
C0237167 (UMLS CUI [3,6])

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