Cluster effect for SNP–SNP interaction pairs for predicting complex traits

Cluster effect for SNP–SNP interaction pairs for predicting complex traits

Abstract Single nucleotide polymorphism (SNP) interactions are the key to improving polygenic risk scores. Previous studies reported several significant SNP–SNP interaction pairs that shared a common SNP to form a cluster, but some identified pairs might be false positives. This study aims to identi...

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Bibliografische gegevens
Hoofdauteurs: Hui-Yi Lin, Harun Mazumder, Indrani Sarkar, Po-Yu Huang, Rosalind A. Eeles, Zsofia Kote-Jarai, Kenneth R. Muir, UKGPCS collaborators, Johanna Schleutker, Nora Pashayan, Jyotsna Batra, APCB (Australian Prostate Cancer BioResource), David E. Neal, Sune F. Nielsen, Børge G. Nordestgaard, Henrik Grönberg, Fredrik Wiklund, Robert J. MacInnis, Christopher A. Haiman, Ruth C. Travis, Janet L. Stanford, Adam S. Kibel, Cezary Cybulski, Kay-Tee Khaw, Christiane Maier, Stephen N. Thibodeau, Manuel R. Teixeira, Lisa Cannon-Albright, Hermann Brenner, Radka Kaneva, Hardev Pandha, The PRACTICAL consortium, Jong Y. Park
Formaat: Artikel
Taal:English
Gepubliceerd in: Nature Portfolio 2024-08-01
Reeks:Scientific Reports
Onderwerpen:
SNP interaction
Cluster
False positivity
Simulation
Online toegang:https://doi.org/10.1038/s41598-024-66311-7

Internet

https://doi.org/10.1038/s41598-024-66311-7

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