2024
DOI: 10.1002/sim.10249
|View full text |Cite
|
Sign up to set email alerts
|

Genetic Prediction Modeling in Large Cohort Studies via Boosting Targeted Loss Functions

Hannah Klinkhammer,
Christian Staerk,
Carlo Maj
et al.

Abstract: Polygenic risk scores (PRS) aim to predict a trait from genetic information, relying on common genetic variants with low to medium effect sizes. As genotype data are high‐dimensional in nature, it is crucial to develop methods that can be applied to large‐scale data (large and large ). Many PRS tools aggregate univariate summary statistics from genome‐wide association studies into a single score. Recent advancements allow simultaneous modeling of variant effects from individual‐level genotype data. In this co… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 59 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?