Genome-Wide Interaction Analysis With DASH Diet Score Identified Novel Loci for Systolic Blood Pressure

Authors

• Mélanie Guirette, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (M.G., J.L., J.M.).
• Jessie Lan, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA (M.G., J.L., J.M.).
• Nicola Mckeown, Programs of Nutrition, Department of Health Sciences, Sargent College of Health & Rehabilitation Sciences, Boston University, MA (N.M.).
• Michael R. Brown, Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (M.R.B., H.C., P.S.D.V., A.C.M.).
• Han Chen, Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (M.R.B., H.C., P.S.D.V., A.C.M.).
• Paul S. De Vries, Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (M.R.B., H.C., P.S.D.V., A.C.M.).
• Hyunju Kim, Department of Epidemiology, Cardiovascular Health Research Unit, University of Washington, Seattle, WA. (H.K., A.M.F.).
• Casey M. Rebholz, Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD (C.M.R.).
• Alanna C. Morrison, Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, University of Texas Health Science Center at Houston (M.R.B., H.C., P.S.D.V., A.C.M.).
• Traci M. Bartz, Departments of Biostatistics and Medicine, Cardiovascular Health Research Unit, University of Washington, Seattle, WA. (T.M.B.).
• Amanda M. Fretts, Department of Epidemiology, Cardiovascular Health Research Unit, University of Washington, Seattle, WA. (H.K., A.M.F.).
• Xiuqing Guo, The Lundquist Institute at Harbor-UCLA, Torrance, CA (X.G.).
• Rozenn N. Lemaitre, Department of Medicine, Cardiovascular Health Research Unit, University of Washington, Seattle, WA. (R.N.L.).
• Ching-Ti Liu, Biostatistics, Boston University School of Public Health, MA (C.-T.L.).
• Raymond Noordam, Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, the Netherlands. (R.N.).
• Renée De Mutsert, Department of Clinical Epidemiology, Leiden University Medical Center, the Netherlands. (R.D.M., F.R.R.).
• Frits R. Rosendaal, Department of Clinical Epidemiology, Leiden University Medical Center, the Netherlands. (R.D.M., F.R.R.).
• Carol A. Wang, School of Medicine and Public Health, University of Newcastle, NSW, Australia (C.A.W., C.E.P).
• Lawrence Beilin, Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley (L.B., T.A.M.).
• Trevor A. Mori, Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley (L.B., T.A.M.).
• Wendy H. Oddy, Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia (W.H.O.).
• Craig E. Pennell, School of Medicine and Public Health, University of Newcastle, NSW, Australia (C.A.W., C.E.P).
• Jin Fang Chai, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.V.D., E.S.T., X.S.).
• Clare Whitton, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.V.D., E.S.T., X.S.).
• Rob M. Van Dam, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.V.D., E.S.T., X.S.).
• Jianjun Liu, School of Population Health, Curtin University, Perth, Western Australia, Australia (C.W., J.L.).
• E Shyong Tai, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.V.D., E.S.T., X.S.).
• Xueling Sim, Saw Swee Hock School of Public Health, National University of Singapore and National University Health System (J.F.C., C.W., R.M.V.D., E.S.T., X.S.).
• Marian L. Neuhouser, Genome Institute of Singapore, Agency for Science, Technology and Research (M.L.N., C.K., L.T.).
• Charles Kooperberg, Genome Institute of Singapore, Agency for Science, Technology and Research (M.L.N., C.K., L.T.).
• Lesley Tinker, Genome Institute of Singapore, Agency for Science, Technology and Research (M.L.N., C.K., L.T.).
• Nora Franceschini, Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA (N.F.).

Document Type

Journal Article

Publication Date

1-16-2024

Journal

Hypertension (Dallas, Tex. : 1979)

DOI

10.1161/HYPERTENSIONAHA.123.22334

Keywords

UK Biobank; blood pressure; cardiovascular diseases; gene-environment interaction; hypertension

Abstract

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 <5e-8. We observed a consistent interaction between rs117878928 at 15q25.1 (minor allele frequency, 0.03) and the DASH diet score (=4e-8; for heterogeneity, 0.35) in European population, where the interaction effect size was 0.42±0.09 mm Hg (=9.4e-7) and 0.20±0.06 mm Hg (=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 -expression quantitative trait loci (eQTL) variants (=4e-273) and -DNA methylation quantitative trait loci variants (=1e-300). Although the closest gene for rs117878928 is , the highest narrow sense heritability accounted by single nucleotide polymorphisms potentially interacting with the DASH diet score in this locus was for gene 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.

APA Citation

Guirette, Mélanie; Lan, Jessie; Mckeown, Nicola; Brown, Michael R.; Chen, Han; De Vries, Paul S.; Kim, Hyunju; Rebholz, Casey M.; Morrison, Alanna C.; Bartz, Traci M.; Fretts, Amanda M.; Guo, Xiuqing; Lemaitre, Rozenn N.; Liu, Ching-Ti; Noordam, Raymond; De Mutsert, Renée; Rosendaal, Frits R.; Wang, Carol A.; Beilin, Lawrence; Mori, Trevor A.; Oddy, Wendy H.; Pennell, Craig E.; Fang Chai, Jin; Whitton, Clare; Van Dam, Rob M.; Liu, Jianjun; Shyong Tai, E; Sim, Xueling; Neuhouser, Marian L.; Kooperberg, Charles; Tinker, Lesley; and Franceschini, Nora, "Genome-Wide Interaction Analysis With DASH Diet Score Identified Novel Loci for Systolic Blood Pressure" (2024). GW Authored Works. Paper 4175.
https://hsrc.himmelfarb.gwu.edu/gwhpubs/4175

Department

Exercise and Nutrition Sciences