Source:http://linkedlifedata.com/resource/pubmed/id/14975103
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| Predicate | Object |
|---|---|
| rdf:type | |
| lifeskim:mentions | |
| pubmed:dateCreated |
2004-2-20
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| pubmed:abstractText |
To evaluate linkage evidence for body mass index (BMI) using both cross-sectional and longitudinal data, we performed genome-wide multipoint linkage analyses on subjects who had complete data at four selected time points (initial, 8th, 12th, and 16th year following the initial visit) from the Framingham Heart Study. The cross-sectional measures included BMI at each of the four selected time points and the longitudinal measure was the within-subject mean of BMI at the above four time points. Using the variance components method, we consistently observed the maximum LOD score out of the genome scan using BMI at each time point and the mean of BMI between 049xd2 and GATA71H05 on chromosome 16. The highest LOD score (3.0) was at time point 1, while the lowest (1.9) was at time point 4. We also observed other suggestive linkages on chromosome 6, 10, and 18 at time point 1 only. The longitudinal measure we studied (mean of BMI) did not provide greater power to identify a positive linkage than some of the cross-sectional measures (e.g., time point 1). The changing of linkage evidence over time provided some insights on the variation of genetic effect on BMI with aging. There may be a QTL on chromosome 16 that contributes to BMI and this locus, and maybe others, is more likely to affect BMI during early adulthood.
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| pubmed:grant | |
| pubmed:commentsCorrections |
http://linkedlifedata.com/resource/pubmed/commentcorrection/14975103-10096693,
http://linkedlifedata.com/resource/pubmed/commentcorrection/14975103-11921082,
http://linkedlifedata.com/resource/pubmed/commentcorrection/14975103-12355400,
http://linkedlifedata.com/resource/pubmed/commentcorrection/14975103-9545414
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| pubmed:language |
eng
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| pubmed:journal | |
| pubmed:citationSubset |
IM
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| pubmed:status |
MEDLINE
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| pubmed:issn |
1471-2156
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| pubmed:author | |
| pubmed:issnType |
Electronic
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| pubmed:volume |
4 Suppl 1
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| pubmed:owner |
NLM
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| pubmed:authorsComplete |
Y
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| pubmed:pagination |
S35
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| pubmed:dateRevised |
2010-11-18
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| pubmed:meshHeading |
pubmed-meshheading:14975103-Adult,
pubmed-meshheading:14975103-Adult Children,
pubmed-meshheading:14975103-Aged,
pubmed-meshheading:14975103-Aged, 80 and over,
pubmed-meshheading:14975103-Analysis of Variance,
pubmed-meshheading:14975103-Body Mass Index,
pubmed-meshheading:14975103-Body Weight,
pubmed-meshheading:14975103-Chromosome Mapping,
pubmed-meshheading:14975103-Chromosomes, Human, Pair 16,
pubmed-meshheading:14975103-Cohort Studies,
pubmed-meshheading:14975103-Cross-Sectional Studies,
pubmed-meshheading:14975103-Female,
pubmed-meshheading:14975103-Genetic Linkage,
pubmed-meshheading:14975103-Genome, Human,
pubmed-meshheading:14975103-Humans,
pubmed-meshheading:14975103-Longitudinal Studies,
pubmed-meshheading:14975103-Male,
pubmed-meshheading:14975103-Middle Aged,
pubmed-meshheading:14975103-Quantitative Trait, Heritable,
pubmed-meshheading:14975103-Quantitative Trait Loci,
pubmed-meshheading:14975103-Time
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| pubmed:year |
2003
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| pubmed:articleTitle |
Genome-wide linkage analysis using cross-sectional and longitudinal traits for body mass index in a subsample of the Framingham Heart Study.
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| pubmed:affiliation |
Division of Medical Genetics, Medical Genetics Birth Defects Center, Cedars-Sinai Research Institute, Cedars-Sinai Medical Center, Los Angeles California, USA. xiaohui.li@cshs.org
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| pubmed:publicationType |
Journal Article,
Research Support, U.S. Gov't, P.H.S.
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