ID

45142

Description

Principal Investigator: Michael A. Province, PhD, Washington University School of Medicine, St. Louis, MO, USA MeSH: Longevity,Aging,Cardiovascular Diseases,Neoplasms,Stroke,Inflammation,Immune System,Diabetes Mellitus,Hypertension,Dyslipidemias,Lipids,Osteoporosis,Pulmonary Function Tests,Kidney Function Tests,Alzheimer Disease,Depression,Personality,Executive Function,Reproductive History https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000397 The Long Life Family Study (LLFS) is an international collaborative study of the genetics and familial components of exceptional survival, longevity, and healthy aging. Families were recruited through elderly probands (generally in their 90s) who self-reported on the survival history of their parents and siblings, and on the basis of this information, families which showed clustering of exceptional survival were recruited. [Specifically, a Family Longevity Selection Score (FLOSS) ≥7 was required. The FLOSS measures the average excess Observed lifespan over that Expected based upon lifetables, while adding a bonus term for still-living individuals. Thus FLOSS is a useful tool for scoring and selecting families for inclusion in a research study of exceptional survival (Sebastiani et al., 2009, PMID: 19910380)]. Probands resided in the catchment areas of four Field Centers (Boston University, Columbia University, University of Pittsburgh, and University of Southern Denmark). Recruited family members were phenotyped through extensive in-home visits by teams of technicians who traveled all over the USA and Denmark. Blood assays were centrally processed at a Laboratory Core (University of Minnesota) and protocols were standardized, monitored and coordinated through a Data Management Coordinating Center (Washington University). We examined and extensively phenotyped in all major domains of healthy aging, 4,953 individuals in 539 families through comprehensive in-home visits. Of these, 4,815 gave dbGaP sharing permission and had sufficient quantity/quality of DNA for GWAS genotyping. This large collection of families, selected on the basis of clustering for exceptional survival, is a unique resource for the study of human longevity and healthy aging. We estimate that less than 1% of the Framingham Heart Study (FHS) families (a roughly random population family sample) would meet the minimal entrance criteria for exceptional survival required in the LLFS (Sebastiani et al., 2009, PMID: 19910380). Thus, the least exceptional LLFS families show more clustering for exceptional longevity than 99% of the FHS families. Although the LLFS pedigrees were selected on the basis of longevity per se in the upper generation (and the generation above that), the children's generation have significantly lower rates of many major diseases and have better healthy aging profiles for many disease phenotypes (Newman et al., 2011, PMID: 21258136). The participants had their first in-person visit between 2006 and 2009. After that visit, they were contacted annually by telephone to update vital status, medical history, and general health. Between 2014 and 2017, willing participants completed a second in-person visit. The second visit followed the same protocols and centralized training as the first visit. During the second visit, a portable carotid ultrasound exam was added. Again, participants were continuously contacted annually for telephone follow-up during the period of the second in-person visit and after that. Annual telephone follow-ups currently ongoing, and plans for a third in-person visit are in progress.

Link

dbGaP study=phs000397

Keywords

Versions (2)
  1. 9/29/22 9/29/22 - Simon Heim
  2. 10/12/22 10/12/22 - Adrian Schulz
Copyright Holder

Michael A. Province, PhD, Washington University School of Medicine, St. Louis, MO, USA

Uploaded on

October 12, 2022

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License

Creative Commons BY 4.0
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dbGaP phs000397 NIA Long Life Family Study (LLFS)

English

Eligibility Criteria

6 forms  
  1. StudyEvent: SEV1
    1. Eligibility Criteria
    2. This subject consent data table includes subject IDs, consent group information, and subject aliases.
    3. This pedigree data table includes family relationships in the format of family IDs, subject IDs, father IDs, mother IDs, sex of subjects, and twin IDs for monozygotic twins. Please note that if a couple did not have children, the submitters created a dummy child to link the couple in a pedigree. The gender of a dummy child was set as missing.
    4. This subject sample mapping data table includes a mapping of study subject IDs to sample IDs and sample aliases. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. Several subjects gave permission to share their DNA results, but not their phenotypes.
    5. This subject phenotype table includes sociodemographic information (n=7 variables), medical history (n=12 variables; historical height, self-reported history, and reproductive physiological processes), physical observations (n=12 variables; subject's age, blood pressure, anthropometric measurements, hearing, eyesight, physical status, lung spirometry), disease diagnosis (n=33 variables), laboratory measurements (n=17 variables), Mini-Mental State Exam (MMSE) (n=9 variables), level of physical activity (n=3 variables), surgery and treatment (n=5 variables), and smoking status (n=7 variables). Several subjects gave permission to share their DNA results, but not their phenotypes.
    6. The sample attributes table includes the body site, analyte type, and tumor status.
Inclusion and exclusion criteria
Description

Inclusion and exclusion criteria

Families must have Family Longevity Selection Scores (FLOSS) of 7 or more, as defined in Sebastiani et al., 2009 (PMID: 19910380).
Description

Families must have Family Longevity Selection Scores (FLOSS) of 7 or more

Data type

boolean

Alias
UMLS CUI [1,1]
C1512693
UMLS CUI [1,2]
C0241889
UMLS CUI [1,3]
C0449820
UMLS CUI [1,4]
C3846158
Families consist of at least a sibling pair in the upper generation, plus the entire second generation (including children of deceased), and the children's spouses.
Description

Elig.phs000397.v3.p3.2

Data type

boolean

Alias
UMLS CUI [1,1]
C0015576
UMLS CUI [1,2]
C0205435
UMLS CUI [1,3]
C0079411
UMLS CUI [1,4]
C0037047
UMLS CUI [1,5]
C1709450
UMLS CUI [1,6]
C1512693
UMLS CUI [2,1]
C0015576
UMLS CUI [2,2]
C0205436
UMLS CUI [2,3]
C0079411
UMLS CUI [2,4]
C0205197
UMLS CUI [2,5]
C0162409
UMLS CUI [2,6]
C1512693
Minimum family size is 3, with at least a pair in the upper generation and one child.
Description

Elig.phs000397.v3.p3.3

Data type

boolean

Alias
UMLS CUI [1,1]
C1524031
UMLS CUI [1,2]
C0015576
UMLS CUI [1,3]
C0456389
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Similar models

Eligibility Criteria

6 forms
  1. StudyEvent: SEV1
    1. Eligibility Criteria
    2. This subject consent data table includes subject IDs, consent group information, and subject aliases.
    3. This pedigree data table includes family relationships in the format of family IDs, subject IDs, father IDs, mother IDs, sex of subjects, and twin IDs for monozygotic twins. Please note that if a couple did not have children, the submitters created a dummy child to link the couple in a pedigree. The gender of a dummy child was set as missing.
    4. This subject sample mapping data table includes a mapping of study subject IDs to sample IDs and sample aliases. Samples are the final preps submitted for genotyping, sequencing, and/or expression data. For example, if one patient (subject ID) gave one sample, and that sample was processed differently to generate 2 sequencing runs, there would be two rows, both using the same subject ID, but having 2 unique sample IDs. Several subjects gave permission to share their DNA results, but not their phenotypes.
    5. This subject phenotype table includes sociodemographic information (n=7 variables), medical history (n=12 variables; historical height, self-reported history, and reproductive physiological processes), physical observations (n=12 variables; subject's age, blood pressure, anthropometric measurements, hearing, eyesight, physical status, lung spirometry), disease diagnosis (n=33 variables), laboratory measurements (n=17 variables), Mini-Mental State Exam (MMSE) (n=9 variables), level of physical activity (n=3 variables), surgery and treatment (n=5 variables), and smoking status (n=7 variables). Several subjects gave permission to share their DNA results, but not their phenotypes.
    6. The sample attributes table includes the body site, analyte type, and tumor status.
Name
Type
Description | Question | Decode (Coded Value)
Data type
Alias
Item Group
Inclusion and exclusion criteria
Families must have Family Longevity Selection Scores (FLOSS) of 7 or more
Item
Families must have Family Longevity Selection Scores (FLOSS) of 7 or more, as defined in Sebastiani et al., 2009 (PMID: 19910380).
boolean
C1512693 (UMLS CUI [1,1])
C0241889 (UMLS CUI [1,2])
C0449820 (UMLS CUI [1,3])
C3846158 (UMLS CUI [1,4])
Elig.phs000397.v3.p3.2
Item
Families consist of at least a sibling pair in the upper generation, plus the entire second generation (including children of deceased), and the children's spouses.
boolean
C0015576 (UMLS CUI [1,1])
C0205435 (UMLS CUI [1,2])
C0079411 (UMLS CUI [1,3])
C0037047 (UMLS CUI [1,4])
C1709450 (UMLS CUI [1,5])
C1512693 (UMLS CUI [1,6])
C0015576 (UMLS CUI [2,1])
C0205436 (UMLS CUI [2,2])
C0079411 (UMLS CUI [2,3])
C0205197 (UMLS CUI [2,4])
C0162409 (UMLS CUI [2,5])
C1512693 (UMLS CUI [2,6])
Elig.phs000397.v3.p3.3
Item
Minimum family size is 3, with at least a pair in the upper generation and one child.
boolean
C1524031 (UMLS CUI [1,1])
C0015576 (UMLS CUI [1,2])
C0456389 (UMLS CUI [1,3])
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