Show simple item record

dc.contributor.authorSebastiani, Paola
dc.contributor.authorHadley, Evan C.
dc.contributor.authorProvince, Michael
dc.contributor.authorChristensen, Kaare
dc.contributor.authorRossi, Winifred
dc.contributor.authorPerls, Thomas T.
dc.contributor.authorAsh, Arlene S.
dc.date2022-08-11T08:10:42.000
dc.date.accessioned2022-08-23T17:17:24Z
dc.date.available2022-08-23T17:17:24Z
dc.date.issued2009-11-17
dc.date.submitted2010-07-01
dc.identifier.citationAm J Epidemiol. 2009 Dec 15;170(12):1555-62. Epub 2009 Nov 12. <a href="http://dx.doi.org/10.1093/aje/kwp309">Link to article on publisher's site</a>
dc.identifier.issn0002-9262 (Linking)
dc.identifier.doi10.1093/aje/kwp309
dc.identifier.pmid19910380
dc.identifier.urihttp://hdl.handle.net/20.500.14038/47617
dc.description.abstractFamily studies of exceptional longevity can potentially identify genetic and other factors contributing to long life and healthy aging. Although such studies seek families that are exceptionally long lived, they also need living members who can provide DNA and phenotype information. On the basis of these considerations, the authors developed a metric to rank families for selection into a family study of longevity. Their measure, the family longevity selection score (FLoSS), is the sum of 2 components: 1) an estimated family longevity score built from birth-, gender-, and nation-specific cohort survival probabilities and 2) a bonus for older living siblings. The authors examined properties of FLoSS-based family rankings by using data from 3 ongoing studies: the New England Centenarian Study, the Framingham Heart Study, and screenees for the Long Life Family Study. FLoSS-based selection yields families with exceptional longevity, satisfactory sibship sizes and numbers of living siblings, and high ages. Parameters in the FLoSS formula can be tailored for studies of specific populations or age ranges or with different conditions. The first component of the FLoSS also provides a conceptually sound survival measure to characterize exceptional longevity in individuals or families in various types of studies and correlates well with later-observed longevity.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=19910380&dopt=Abstract">Link to Article in PubMed</a>
dc.subjectAge Factors
dc.subjectCohort Studies
dc.subject*Family
dc.subjectHumans
dc.subject*Longevity
dc.subjectSex Factors
dc.subjectSiblings
dc.subjectBiostatistics
dc.subjectEpidemiology
dc.subjectHealth Services Research
dc.titleA family longevity selection score: ranking sibships by their longevity, size, and availability for study
dc.typeJournal Article
dc.source.journaltitleAmerican journal of epidemiology
dc.source.volume170
dc.source.issue12
dc.identifier.legacyfulltexthttps://escholarship.umassmed.edu/cgi/viewcontent.cgi?article=1744&amp;context=qhs_pp&amp;unstamped=1
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/qhs_pp/744
dc.identifier.contextkey1378892
refterms.dateFOA2022-08-23T17:17:24Z
html.description.abstract<p>Family studies of exceptional longevity can potentially identify genetic and other factors contributing to long life and healthy aging. Although such studies seek families that are exceptionally long lived, they also need living members who can provide DNA and phenotype information. On the basis of these considerations, the authors developed a metric to rank families for selection into a family study of longevity. Their measure, the family longevity selection score (FLoSS), is the sum of 2 components: 1) an estimated family longevity score built from birth-, gender-, and nation-specific cohort survival probabilities and 2) a bonus for older living siblings. The authors examined properties of FLoSS-based family rankings by using data from 3 ongoing studies: the New England Centenarian Study, the Framingham Heart Study, and screenees for the Long Life Family Study. FLoSS-based selection yields families with exceptional longevity, satisfactory sibship sizes and numbers of living siblings, and high ages. Parameters in the FLoSS formula can be tailored for studies of specific populations or age ranges or with different conditions. The first component of the FLoSS also provides a conceptually sound survival measure to characterize exceptional longevity in individuals or families in various types of studies and correlates well with later-observed longevity.</p>
dc.identifier.submissionpathqhs_pp/744
dc.contributor.departmentDepartment of Quantitative Health Sciences
dc.source.pages1555-62


Files in this item

Thumbnail
Name:
American_journal_of_Epidemiolo ...
Size:
201.2Kb
Format:
PDF

This item appears in the following Collection(s)

Show simple item record