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Table 1 Longitudinal GAW19 statistical models, data set, and software used by this group

From: Longitudinal analytical approaches to genetic data

Contribution

Phenotype

Covariates

Genetic data

Data Set

Model(s)

Longitudinal correlation

Software

Chiu et al. [10]

Hypertension status (Baseline, Longitudinal, Ever, Progression)

None

GWA chromosome 3

Real

multipoint LD mapping using GEE

Independent working correlation

Author’s software in FORTRAN

Justice et al. [11]

SBP adjusted for BP medication

Age, sex, PCs (1–4), (smoking nonsignificant)

GWA

Real

LCGM (phenotype) and VCs within mixed model (association)

Unstructured covariance

SAS (LCGM) MMAP (association)

Melton et al. [12]

SBP

Age, sex, and smoking

WGS

Simulated

VC

Correlation between SBP responses

SOLAR

  1. BP blood pressure, GEE generalized estimating equations, GWA genome-wide association, LCGM latent class growth modeling, LD linkage disequilibrium, MMAP mixed models analysis for pedigrees, PC principal components, SAS statistical analysis system, SBP systolic blood pressure, SOLAR sequential oligogenic linkage analysis routines, VC variance-components, WGS whole-genome sequence