Genetic Analysis of Longitudinal Blood Pressure Data
Author Information
Author(s): Gee Conway, Morrison John L, Thomas Duncan C, Gauderman W James
Primary Institution: University of Southern California
Hypothesis
Can slopes and intercepts from a linear regression of systolic blood pressure be used in segregation and linkage analyses?
Conclusion
The study found significant evidence of a Mendelian gene affecting average systolic blood pressure, but not for the slopes over time.
Supporting Evidence
- Significant evidence of a Mendelian gene was found in segregation analysis.
- Suggestive linkage results were observed for specific markers on chromosomes 1, 3, 5, 9, 10, and 17.
- The weighted analysis generally led to larger LOD scores than the unweighted analysis.
Takeaway
Researchers looked at blood pressure data over time to see if genetics played a role, and they found that some genes do affect average blood pressure.
Methodology
A two-stage modeling approach was used, with a first-stage linear regression to estimate subject-specific intercepts and slopes, followed by segregation and linkage analyses.
Potential Biases
Potential bias from how hypertension treatment was handled and missing data.
Limitations
The study may have low power to detect genetic signals for slopes if multiple genes affect blood pressure change over time.
Participant Demographics
4692 subjects from the Framingham Heart Study, with longitudinal data from specific cohorts.
Statistical Information
P-Value
0.43
Statistical Significance
p<0.001
Digital Object Identifier (DOI)
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