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  4. Sibling recurrence risk ratio analysis of the metabolic syndrome and its components over time.
 
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Sibling recurrence risk ratio analysis of the metabolic syndrome and its components over time.

Journal
BMC genetics
Journal Volume
4 Suppl 1
Date Issued
2003
Author(s)
WEI J. CHEN  
Liu P.H.
Ho Y.Y.
KUO-LIONG CHIEN  
Lo M.T.
WEI-LIANG SHIH  
Yen Y.C.
WEN-CHUNG LEE  
DOI
10.1186/1471-2156-4-s1-s33
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-2342607601&doi=10.1186%2f1471-2156-4-s1-s33&partnerID=40&md5=9b40c8a70513ba22bf57ab309af5fb59
https://scholars.lib.ntu.edu.tw/handle/123456789/521869
Abstract
The purpose of this study was to estimate both cross-sectional sibling recurrence risk ratio (lambdas) and lifetime lambdas for the metabolic syndrome and its individual components over time among sibships in the prospectively followed-up cohorts provided by the Genetic Analysis Workshop 13. Five measures included in the operational criteria of the metabolic syndrome by the Adult Treatment Panel III were examined. A method for estimating sibling recurrence risk with correction for complete ascertainment was used to estimate the numerator, and the prevalence in the whole cohort was used as the denominator of lambdas. Considerable variability in the lambdas was found in terms of different time-points for the cross-sectional definition, the times of fulfilling the criterion for lifetime definition, and different components. Obesity and hyperglycemia had the highest cross-sectional lambdas of the five components. Both components also had the largest slopes in the linear trend of the lifetime lambdas. However, the magnitudes of the lifetime lambdas were similar to that of the mean cross-sectional lambdas, which were <2. The results of nonparametric linkage analysis showed only suggestive evidence of linkage between one marker and lifetime diagnosis of low high-density lipoprotein cholesterol and metabolic syndrome, respectively. The lambdas of the metabolic syndrome and its components varies substantially across time, and the lambdas of lifetime diagnosis was not necessarily larger than that of a cross-sectional diagnosis. The magnitude of lambdas does not predict well the maximum LOD score of linkage analysis.
SDGs

[SDGs]SDG3

Other Subjects
adolescent; adult; adult child; article; child; cohort analysis; cross-sectional study; female; follow up; genetic linkage; genetics; human; human genome; male; metabolic syndrome X; middle aged; non insulin dependent diabetes mellitus; preschool child; prospective study; recurrent disease; risk; sibling; time; Adolescent; Adult; Adult Children; Child; Child, Preschool; Cohort Studies; Cross-Sectional Studies; Diabetes Mellitus, Type 2; Female; Follow-Up Studies; Genetic Linkage; Genome, Human; Humans; Lod Score; Male; Metabolic Syndrome X; Middle Aged; Prospective Studies; Recurrence; Risk; Siblings; Time; MLCS; MLOWN
Type
journal article
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