MODE for detecting and estimating genetic causal variants

Sundar, V.; Fan, C.-C.; Holland, D.; Dale, A.

doi:10.1101/357228

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bioRxiv · 10.1101/357228

MODE for detecting and estimating genetic causal variants

Sundar, V.·Fan, C.-C.·Holland, D.·Dale, A.

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Abstract

Determining the genetic causal variants and estimating their effect sizes are considered to be correlated but independent problems. Fine-mapping studies often rely on the ability to integrate useful functional annotation information into genome wide association univariate/multivariate analysis. In the present study, by modeling the probability of a SNP being causal and its effect size as a set of correlated Gaussian/non-Gaussian random variables, we design an optimization routine for simultaneous fine-mapping and effect size estimation. The algorithm is released as an open source C package MODE.\n\nAvailability and Implementation: http://sites.google.com/site/sundarvelkur/mode\n\nContact: amdale@ucsd.edu, svelkur@ucsd.edu

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Sundar, V., Fan, C.-C., Holland, D., Dale, A.. 2018-06-27. MODE for detecting and estimating genetic causal variants. https://doi.org/10.1101/357228

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