### Abstract

Problem 1 of the Genetic Analysis Workshop 13(GAW13) contains longitudinal data of cardiovascular measurements from 330 pedigrees. The longitudinal data complicates the phenotype definition because multiple measurements are taken on each individual. To address this complication, we propose an approach that uses generalized estimating equations to obtain residuals for each time point for each person. The mean residual is then taken as the new phenotype with which to use in a variance components linkage analysis. We compare our phenotype definition approach to an approach that first reduces the multiple measurements to a single measurement and then models these summary statistics as regression terms in a variance components analysis. For each approach, multipoint linkage analysis was performed using the residuals and the SOLAR computer program. Our results show little difference between the methods based on the LOD scores.

Original language | English (US) |
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Article number | S13 |

Journal | BMC Genetics |

Volume | 4 Suppl 1 |

State | Published - 2003 |

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### ASJC Scopus subject areas

- Genetics
- Genetics(clinical)

### Cite this

*BMC Genetics*,

*4 Suppl 1*, [S13].

**Genome-wide linkage analysis of systolic blood pressure : a comparison of two approaches to phenotype definition.** / Slager, Susan L; Iturria, Stephen J.

Research output: Contribution to journal › Article

*BMC Genetics*, vol. 4 Suppl 1, S13.

}

TY - JOUR

T1 - Genome-wide linkage analysis of systolic blood pressure

T2 - a comparison of two approaches to phenotype definition.

AU - Slager, Susan L

AU - Iturria, Stephen J.

PY - 2003

Y1 - 2003

N2 - Problem 1 of the Genetic Analysis Workshop 13(GAW13) contains longitudinal data of cardiovascular measurements from 330 pedigrees. The longitudinal data complicates the phenotype definition because multiple measurements are taken on each individual. To address this complication, we propose an approach that uses generalized estimating equations to obtain residuals for each time point for each person. The mean residual is then taken as the new phenotype with which to use in a variance components linkage analysis. We compare our phenotype definition approach to an approach that first reduces the multiple measurements to a single measurement and then models these summary statistics as regression terms in a variance components analysis. For each approach, multipoint linkage analysis was performed using the residuals and the SOLAR computer program. Our results show little difference between the methods based on the LOD scores.

AB - Problem 1 of the Genetic Analysis Workshop 13(GAW13) contains longitudinal data of cardiovascular measurements from 330 pedigrees. The longitudinal data complicates the phenotype definition because multiple measurements are taken on each individual. To address this complication, we propose an approach that uses generalized estimating equations to obtain residuals for each time point for each person. The mean residual is then taken as the new phenotype with which to use in a variance components linkage analysis. We compare our phenotype definition approach to an approach that first reduces the multiple measurements to a single measurement and then models these summary statistics as regression terms in a variance components analysis. For each approach, multipoint linkage analysis was performed using the residuals and the SOLAR computer program. Our results show little difference between the methods based on the LOD scores.

UR - http://www.scopus.com/inward/record.url?scp=34248677831&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34248677831&partnerID=8YFLogxK

M3 - Article

C2 - 14975081

AN - SCOPUS:34248677831

VL - 4 Suppl 1

JO - BMC Genetics

JF - BMC Genetics

SN - 1471-2156

M1 - S13

ER -