Statistical learning for sparser fine‐mapped polygenic models: The prediction of LDL‐cholesterol-Reference-Cited by-同舟云学术

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Statistical learning for sparser fine‐mapped polygenic models: The prediction of LDL‐cholesterol

Published:2022-08-08 Issue:8 Volume:46 Page:589-603
ISSN:0741-0395
Container-title:Genetic Epidemiology
language:en
Short-container-title:Genetic Epidemiology

Author:

Maj Carlo¹²^ORCID,Staerk Christian³^ORCID,Borisov Oleg¹,Klinkhammer Hannah¹³^ORCID,Wai Yeung Ming¹⁴,Krawitz Peter¹,Mayr Andreas³^ORCID

Affiliation:

1. Institute for Genomic Statistics and Bioinformatics, Medical Faculty University Bonn Bonn Germany

2. Centre for Human Genetics University of Marburg Marburg Germany

3. Institute for Medical Biometry, Informatics and Epidemiology, Medical Faculty University Bonn Bonn Germany

4. Department of Cardiology University of Groningen Groningen The Netherlands

Publisher

Wiley

Subject

Genetics (clinical),Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gepi.22495

Reference56 articles.

1. Patterns of linkage disequilibrium in the human genome

2. FINEMAP: efficient variable selection using summary data from genome-wide association studies

3. Approximately independent linkage disequilibrium blocks in human populations;Berisa T.;Bioinformatics,2016

4. Boosting Algorithms: Regularization, Prediction and Model Fitting

5. Boosting With theL2Loss

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1. A polygenic score method boosted by non-additive models;Nature Communications;2024-05-29

2. Recent Methodological Trends in Epidemiology: No Need for Data-Driven Variable Selection?;American Journal of Epidemiology;2023-09-28

3. Investigation of heteroscedasticity in polygenic risk scores across 15 quantitative traits;Frontiers in Genetics;2023-05-09

4. Boosting multivariate structured additive distributional regression models;Statistics in Medicine;2023-03-17

5. A statistical boosting framework for polygenic risk scores based on large-scale genotype data;Frontiers in Genetics;2023-01-10

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