Last updated: 2020-08-20

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Knit directory: SlopeHunter/

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Rmd 0201448 Osama 2020-07-24 Update Readme
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Rmd 8499789 Osama 2020-07-23 Test
html 8499789 Osama 2020-07-23 Test
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html bb0225b Osama 2020-07-23 test ws
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html 17c2707 Osama 2020-07-23 Test ws
Rmd 85d883b Osama 2020-07-23 Test ws
html 85d883b Osama 2020-07-23 Test ws
Rmd 91edbca Osama 2020-07-23 Test website
html 91edbca Osama 2020-07-23 Test website
html 853776a Osama 2020-07-23 Initial step
Rmd 95f08ec Osmahmoud 2020-07-23 Start workflowr project.

Welcome to Slope-Hunter website!

Some useful links are as follows:

Pre-print of the manuscript

R package source

Website of the corresponding author

This website layout was inspired by the layout of the CAUSE website.

Introduction to Slope-Hunter

Studying genetic associations with prognosis (e.g. survival, disability, subsequent disease events) is problematic due to selection bias - also termed index event bias or collider bias - whereby selection on disease status can induce associations between causes of incidence with prognosis.

The ‘Slope-Hunter’ approach is proposed for adjusting genetic associations for this bias. The approach is unbiased even when there is genetic correlation between incidence and prognosis.

Our approach has two stages. First, cluster-based techniques are used to identify: variants affecting neither incidence nor prognosis (these should not suffer bias and only a random sub-sample of them are retained in the analysis); variants affecting prognosis only (excluded from the analysis). Second, we fit a cluster-based model to identify the class of variants only affecting incidence, and use this class to estimate the adjustment factor.