Genome-Wide Interaction Analysis With DASH Diet Score Identified Novel Loci for Systolic Blood Pressure Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.1161/hypertensionaha.123.22334
BACKGROUND: The Dietary Approaches to Stop Hypertension (DASH) diet score lowers blood pressure (BP). We examined interactions between genotype and the DASH diet score in relation to systolic BP. METHODS: We analyzed up to 9 420 585 single nucleotide polymorphisms in up to 127 282 individuals of 6 population groups (91% of European population) from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (n=35 660) and UK Biobank (n=91 622) and performed European population-specific and cross-population meta-analyses. RESULTS: We identified 3 loci in European-specific analyses and an additional 4 loci in cross-population analyses at P interaction <5e−8. We observed a consistent interaction between rs117878928 at 15q25.1 (minor allele frequency, 0.03) and the DASH diet score ( P interaction =4e−8; P for heterogeneity, 0.35) in European population, where the interaction effect size was 0.42±0.09 mm Hg ( P interaction =9.4e−7) and 0.20±0.06 mm Hg ( P interaction =0.001) in Cohorts for Heart and Aging Research in Genomic Epidemiology and the UK Biobank, respectively. The 1 Mb region surrounding rs117878928 was enriched with cis-expression quantitative trait loci (eQTL) variants ( P =4e−273) and cis-DNA methylation quantitative trait loci variants ( P =1e−300). Although the closest gene for rs117878928 is MTHFS , the highest narrow sense heritability accounted by single nucleotide polymorphisms potentially interacting with the DASH diet score in this locus was for gene ST20 at 15q25.1. CONCLUSIONS: We demonstrated gene-DASH diet score interaction effects on systolic BP in several loci. Studies with larger diverse populations are needed to validate our findings.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1161/hypertensionaha.123.22334
- OA Status
- green
- Cited By
- 6
- References
- 34
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390913319
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- OpenAlex ID
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https://openalex.org/W4390913319Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1161/hypertensionaha.123.22334Digital Object Identifier
- Title
-
Genome-Wide Interaction Analysis With DASH Diet Score Identified Novel Loci for Systolic Blood PressureWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-01-16Full publication date if available
- Authors
-
Mélanie Guirette, Jessie Jie Lan, Nicola M. McKeown, Michael R. Brown, Han Chen, Paul S. de Vries, Hyunju Kim, Casey M. Rebholz, Alanna C. Morrison, Traci M. Bartz, Amanda M. Fretts, Xiuqing Guo, Rozenn N. Lemaître, Yongmei Liu, Raymond Noordam, Renée de Mutsert, Frits R. Rosendaal, Carol A. Wang, Lawrence J. Beilin, Trevor A. Mori, Wendy H. Oddy, Craig E. Pennell, Jin Fang Chai, Clare Whitton, Rob M. van Dam, Jianjun Liu, E Shyong Tai, Xueling Sim, Marian L. Neuhouser, Charles Kooperberg, Lesley F. Tinker, Nora Franceschini, Tianxiao Huan, Thomas W. Winkler, Amy R. Bentley, W. James Gauderman, Luc Heerkens, Toshiko Tanaka, Jeroen van Rooij, Patricia B. Munroe, Helen R. Warren, Trudy Voortman, Honglei Chen, D. C. Rao, Daniel Levy, Jiantao MaList of authors in order
- Landing page
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https://doi.org/10.1161/hypertensionaha.123.22334Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
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https://pmc.ncbi.nlm.nih.gov/articles/PMC10922535/pdf/nihms-1956086.pdfDirect OA link when available
- Concepts
-
Dash, Quantitative trait locus, Expression quantitative trait loci, Single-nucleotide polymorphism, Biology, Population, Locus (genetics), Genetics, Genome-wide association study, Blood pressure, Heritability, Genotype, Genetic association, Minor allele frequency, Genetic epidemiology, Internal medicine, Endocrinology, Gene, Medicine, Operating system, Environmental health, Computer scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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6Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 4Per-year citation counts (last 5 years)
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34Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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