An ensemble-based likelihood ratio approach for family-based genomic risk prediction-Reference-Cited by-同舟云学术

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An ensemble-based likelihood ratio approach for family-based genomic risk prediction

Published:2018-12 Issue:12 Volume:19 Page:935-947
ISSN:1673-1581
Container-title:Journal of Zhejiang University-SCIENCE B
language:en
Short-container-title:J. Zhejiang Univ. Sci. B

Author:

An Hui,Wei Chang-shuai,Wang Oliver,Wang Da-hui,Xu Liang-wen,Lu Qing,Ye Cheng-yin^ORCID

Funder

National Natural Science Foundation of China

the National Institute on Drug Abuse, USA

Publisher

Zhejiang University Press

Subject

General Pharmacology, Toxicology and Pharmaceutics,General Veterinary,General Biochemistry, Genetics and Molecular Biology,General Medicine

Link

http://link.springer.com/content/pdf/10.1631/jzus.B1800162.pdf

Reference31 articles.

1. Abraham G, Inouye M, 2015. Genomic risk prediction of complex human disease and its clinical application. Curr Opin Genet Dev, 33:10–16. https://doi.org/10.1016/j.gde.2015.06.005

2. Anney RJL, Lasky-Su J, Ó'Dúshláine C, et al., 2008. Conduct disorder and ADHD: evaluation of conduct problems as a categorical and quantitative trait in the international multicentre ADHD genetics study. Am J Med Genet B Neuropsychiatr Genet, 147B(8):1369–1378. https://doi.org/10.1002/ajmg.b.30871

3. Chatterjee N, Wheeler B, Sampson J, et al., 2013. Projecting the performance of risk prediction based on polygenic analyses of genome-wide association studies. Nat Genet, 45(4):400–405. https://doi.org/10.1038/ng.2579

4. Choi S, Bae S, Park T, 2016. Risk prediction using genomewide association studies on type 2 diabetes. Genomics Inform, 14(4):138–148. https://doi.org/10.5808/GI.2016.14.4.138

5. de los Campos G, Naya H, Gianola D, et al., 2009. Predicting quantitative traits with regression models for dense molecular markers and pedigree. Genetics, 182(1):375–385. https://doi.org/10.1534/genetics.109.101501

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