Key result
A group of 3 SNP-SNP interactions involving 6 inflammation genes (IKBKB–NFKBIA, IKBKE–CHUK, and ADIPOR2–RETN) showed evidence of association with diastolic blood pressure with a false discovery rate of 4.2%.
Observational (n=6,889)
Effect estimate: FDR 4.2%
p-value: p=3.8 × 10–4
Interactions between specific inflammation genes may be associated with diastolic blood pressure, highlighting the potential role of inflammation in the genetic architecture of hypertension.
SNP interactions in inflammation genes were associated with diastolic BP; hypothesis-generating for hypertension genetics and requires independent replication.
BACKGROUND: Hypertension is a major global health burden, but, although systolic and diastolic blood pressure (BP) each have estimated heritability of at least 30%, <3% of their variance has been attributed to particular genetic variants. Few studies have shown interactions between pairs of single nucleotide polymorphisms (SNPs) to be associated with BP. Although many studies use a Bonferroni correction for multiple testing to control type I error, thereby potentially reducing power, false discovery rate (FDR) approaches are also used in genome-wide studies. Renal ion balance genes have been associated with BP regulation, but, although inflammation has been studied in connection with BP, few studies have reported associations between inflammation genes and BP. METHODS: We analyzed SNP-SNP interactions among 31 SNPs from genes involved in renal ion balance and 30 SNPs from genes involved in inflammation using data from the Framingham Heart Study. RESULTS: No evidence of association was found for interactions among renal ion balance SNPs for either systolic or diastolic BP. A group of 3 interactions involving 6 inflammation genes (IKBKB-NFKBIA, IKBKE-CHUK, and ADIPOR2-RETN) showed evidence of association with diastolic BP with an FDR of 4.2%; no single interaction reached experiment-wide significance. CONCLUSIONS: This study identified promising and biologically plausible candidates for interactions between inflammation genes that may be associated with DBP. Analysis using the FDR may allow detection of signals in the presence of modest noise (false positives) that a stringent approach based on Bonferroni-corrected P value thresholds may miss.
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Basson et al. (2014) conducted an observational in Blood Pressure (n=6,889). SNP-SNP interactions among inflammation and renal ion balance genes vs. Lack of specific SNP-SNP interactions was evaluated on Association of SNP-SNP interactions with diastolic blood pressure (FDR 4.2%, p=3.8 × 10–4). A group of 3 SNP-SNP interactions involving 6 inflammation genes (IKBKB–NFKBIA, IKBKE–CHUK, and ADIPOR2–RETN) showed evidence of association with diastolic blood pressure with a false discovery rate of 4.2%.
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