Longitudinal familial analysis of blood pressure involving parametric (co)variance functions.

Julia M P Soler, John Blangero

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

For analyzing longitudinal familial data we adopted a log-linear form to incorporate heterogeneity in genetic variance components over the time, and additionally a serial correlation term in the genetic effects at different levels of ages. Due to the availability of multiple measures on the same individual, we permitted environmental correlations that may change across time. Systolic blood pressure from family members from the first and second cohort was used in the current analysis. Measures of subjects receiving hypertension treatment were set as censored values and they were corrected. An initial check of the variance and covariance functions proposed for analyzing longitudinal familial data, using empirical semi-variogram plots, indicated that the observed trait dispersion pattern follows the assumptions adopted. The corrections for censored phenotypes based on ordinary linear models may be an appropriate simple model to correct the data, ensuring that the original variability in the data was retained. In addition, empirical semi-variogram plots are useful for diagnosis of the (co)variance model adopted.

Original languageEnglish (US)
Article numberS87
JournalBMC Genetics
Volume4 Suppl 1
StatePublished - 2003
Externally publishedYes

Fingerprint

Blood Pressure
Genetic Heterogeneity
Linear Models
Hypertension
Phenotype

ASJC Scopus subject areas

  • Genetics
  • Genetics(clinical)

Cite this

Longitudinal familial analysis of blood pressure involving parametric (co)variance functions. / Soler, Julia M P; Blangero, John.

In: BMC Genetics, Vol. 4 Suppl 1, S87, 2003.

Research output: Contribution to journalArticle

@article{9c056f82554a47a2b3eeeffd277c080e,
title = "Longitudinal familial analysis of blood pressure involving parametric (co)variance functions.",
abstract = "For analyzing longitudinal familial data we adopted a log-linear form to incorporate heterogeneity in genetic variance components over the time, and additionally a serial correlation term in the genetic effects at different levels of ages. Due to the availability of multiple measures on the same individual, we permitted environmental correlations that may change across time. Systolic blood pressure from family members from the first and second cohort was used in the current analysis. Measures of subjects receiving hypertension treatment were set as censored values and they were corrected. An initial check of the variance and covariance functions proposed for analyzing longitudinal familial data, using empirical semi-variogram plots, indicated that the observed trait dispersion pattern follows the assumptions adopted. The corrections for censored phenotypes based on ordinary linear models may be an appropriate simple model to correct the data, ensuring that the original variability in the data was retained. In addition, empirical semi-variogram plots are useful for diagnosis of the (co)variance model adopted.",
author = "Soler, {Julia M P} and John Blangero",
year = "2003",
language = "English (US)",
volume = "4 Suppl 1",
journal = "BMC Genetics",
issn = "1471-2156",
publisher = "BioMed Central",

}

TY - JOUR

T1 - Longitudinal familial analysis of blood pressure involving parametric (co)variance functions.

AU - Soler, Julia M P

AU - Blangero, John

PY - 2003

Y1 - 2003

N2 - For analyzing longitudinal familial data we adopted a log-linear form to incorporate heterogeneity in genetic variance components over the time, and additionally a serial correlation term in the genetic effects at different levels of ages. Due to the availability of multiple measures on the same individual, we permitted environmental correlations that may change across time. Systolic blood pressure from family members from the first and second cohort was used in the current analysis. Measures of subjects receiving hypertension treatment were set as censored values and they were corrected. An initial check of the variance and covariance functions proposed for analyzing longitudinal familial data, using empirical semi-variogram plots, indicated that the observed trait dispersion pattern follows the assumptions adopted. The corrections for censored phenotypes based on ordinary linear models may be an appropriate simple model to correct the data, ensuring that the original variability in the data was retained. In addition, empirical semi-variogram plots are useful for diagnosis of the (co)variance model adopted.

AB - For analyzing longitudinal familial data we adopted a log-linear form to incorporate heterogeneity in genetic variance components over the time, and additionally a serial correlation term in the genetic effects at different levels of ages. Due to the availability of multiple measures on the same individual, we permitted environmental correlations that may change across time. Systolic blood pressure from family members from the first and second cohort was used in the current analysis. Measures of subjects receiving hypertension treatment were set as censored values and they were corrected. An initial check of the variance and covariance functions proposed for analyzing longitudinal familial data, using empirical semi-variogram plots, indicated that the observed trait dispersion pattern follows the assumptions adopted. The corrections for censored phenotypes based on ordinary linear models may be an appropriate simple model to correct the data, ensuring that the original variability in the data was retained. In addition, empirical semi-variogram plots are useful for diagnosis of the (co)variance model adopted.

UR - http://www.scopus.com/inward/record.url?scp=34248652935&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=34248652935&partnerID=8YFLogxK

M3 - Article

C2 - 14975155

AN - SCOPUS:34248652935

VL - 4 Suppl 1

JO - BMC Genetics

JF - BMC Genetics

SN - 1471-2156

M1 - S87

ER -