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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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Tallennettuna:
Päätekijät: 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
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: Nature Portfolio 2024-08-01
Sarja:Scientific Reports
Aiheet:
SNP interaction
Cluster
False positivity
Simulation
Linkit:https://doi.org/10.1038/s41598-024-66311-7
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