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. 2003 Dec 31;4 Suppl 1(Suppl 1):S31.
doi: 10.1186/1471-2156-4-S1-S31.

Age-stratified QTL genome scan analyses for anthropometric measures

Stephanie R Beck  1 , W Mark Brown, Adrienne H Williams, June Pierce, Stephen S Rich, Carl D Langefeld
Affiliations

Age-stratified QTL genome scan analyses for anthropometric measures

Stephanie R Beck et al. BMC Genet. .

Abstract

With the availability of longitudinal data, age-specific (stratified) or age-adjusted genetic analyses have the potential to localize different putative trait influencing loci. If age does not influence the locus-specific penetrance function within the range examined, age-stratified analyses will tend to yield comparable results for an individual trait. However, age-stratified results should vary across age strata when the locus-specific penetrance function is age dependent. In this paper, age-stratified and age-adjusted quantitative trait loci (QTL) linkage analyses were contrasted for height, weight, body mass index (BMI), and systolic blood pressure on a subset of the Framingham Heart Study. The strata comprised individuals with data present in each of three age groups: 31-49, 50-60, 61-79. Genome-wide QTL analyses were performed using SOLAR. Over all ages, a linkage signal for height was detected on chromosome 14q11.2 near marker GATA74E02A (LOD for ages 31-49 = 2.38, LOD for ages 50-60 = 1.84, LOD for ages 61-79 = 2.45). Evidence of linkage to BMI in the 31-49 age group was found on chromosome 3q22 (GATA3C02, LOD = 2.89, p = 0.0003) at the same location as the signal for weight (LOD = 3.10, p = 0.0002). Linkage was also supported on chromosome 1p22.1 for BMI (LOD = 2.21, p = 0.0014) and weight (LOD = 2.47, p = 0.0007) in the 31-49 age group. Our age-stratified results suggest that QTL that are expressed over long periods of time and affecting multiple, correlated traits may be identified using genome scan and variance-component methodology to help detect early and/or late gene expression.

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Figures

Figure 1
Figure 1
Chromosome 1 genome scan for BMI adjusted by gender.
Figure 2
Figure 2
Chromosome 3 genome scan for BMI adjusted by gender.
See this image and copyright information in PMC

References

    1. Franklin S, Larson M, Khan S, Wong N, Leip E, Kannel W, Levy W. Does the relation of blood pressure to coronary heart disease risk change with aging? Circulation. 2001;103:1245–1249. - PubMed
    1. Almasy L, Blangero J. Multipoint quantitative trait linkage analysisin general pedigrees. Am J Hum Genet. 1998;62:1198–1211. doi: 10.1086/301844. - DOI - PMC - PubMed
    1. Blangero J, Almasy L. Multipoint oligogenic linkage analysis of quantitative traits. Genet Epidemiol. 1997;14:959–964. doi: 10.1002/(SICI)1098-2272(1997)14:6<959::AID-GEPI66>3.0.CO;2-K. - DOI - PubMed
    1. Belsley DA, Kuh E, Welsch RE. Regression Diagnostics. New York, John Wiley & Sons, Inc. 1980.
    1. Xu J, Bleecker E, Jongepier H, Howard T, Koppelman G, Postma D, Meyers D. Major recessive gene(s) with considerable residual polygenic effect regulating adult height: confirmation of genome-wide scan results for chromosomes 6, 9, and 12. Am J Hum Genet. 2002;71:646–650. doi: 10.1086/342216. - DOI - PMC - PubMed

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