Journal Article DKFZ-2024-01651

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png
Cluster effect for SNP-SNP interaction pairs for predicting complex traits.

 ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;  ;

2024
Macmillan Publishers Limited, part of Springer Nature [London]

Scientific reports 14(1), 18677 () [10.1038/s41598-024-66311-7]
 GO

This record in other databases:  

Please use a persistent id in citations: doi:

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 identify factors associated with the cluster effect of false positivity and develop strategies to enhance the accuracy of SNP-SNP interactions. The results showed the cluster effect is a major cause of false-positive findings of SNP-SNP interactions. This cluster effect is due to high correlations between a causal pair and null pairs in a cluster. The clusters with a hub SNP with a significant main effect and a large minor allele frequency (MAF) tended to have a higher false-positive rate. In addition, peripheral null SNPs in a cluster with a small MAF tended to enhance false positivity. We also demonstrated that using the modified significance criterion based on the 3 p-value rules and the bootstrap approach (3pRule + bootstrap) can reduce false positivity and maintain high true positivity. In addition, our results also showed that a pair without a significant main effect tends to have weak or no interaction. This study identified the cluster effect and suggested using the 3pRule + bootstrap approach to enhance SNP-SNP interaction detection accuracy.

Keyword(s): Polymorphism, Single Nucleotide (MeSH) ; Humans (MeSH) ; Multifactorial Inheritance: genetics (MeSH) ; Gene Frequency (MeSH) ; Genome-Wide Association Study: methods (MeSH) ; Cluster Analysis (MeSH) ; Models, Genetic (MeSH) ; Epistasis, Genetic (MeSH) ; Cluster ; False positivity ; SNP interaction ; Simulation

Classification:

Contributing Institute(s):
  1. C070 Klinische Epidemiologie und Alternf. (C070)
  2. Präventive Onkologie (C120)
  3. DKTK HD zentral (HD01)
Research Program(s):
  1. 313 - Krebsrisikofaktoren und Prävention (POF4-313) (POF4-313)

Appears in the scientific report 2024
Database coverage:
Medline ; Creative Commons Attribution CC BY (No Version) ; DOAJ ; Article Processing Charges ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Physical, Chemical and Earth Sciences ; DOAJ Seal ; Ebsco Academic Search ; Essential Science Indicators ; Fees ; IF < 5 ; JCR ; PubMed Central ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection ; Zoological Record
Click to display QR Code for this record

The record appears in these collections:
Document types > Articles > Journal Article
Public records
Publications database

 Record created 2024-08-13, last modified 2024-11-18


Fulltext:
Download fulltext PDF Download fulltext PDF (PDFA)
Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)