| Titre : | A Family Longevity Selection Score : Ranking Sibships by Their Longevity, Size, and Availability for Study. (2009) |
| Auteurs : | Paola SEBASTIANI ; Arlene-S ASH ; Kaare CHRISTENSEN ; Evan-C HADLEY ; Thomas-T PERLS ; Michael PROVINCE ; Winifred ROSSI ; Division of Geriatrics and Clinical Gerontology. National Institute on Aging. Bethesda. MD. USA |
| Type de document : | Article |
| Dans : | American journal of epidemiology (vol. 170, n° 12, 2009) |
| Pagination : | 1555-1562 |
| Langues: | Anglais |
| Mots-clés : | Famille ; Longévité ; Sélection ; Sélection information ; Information ; Information épidémiologique ; Epidémiologie ; Homme |
| Résumé : | [BDSP. Notice produite par INIST-CNRS FlE8R0xH. Diffusion soumise à autorisation]. 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. |
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