Your browser doesn't support javascript.
loading
Genome-Wide Interaction Analysis with DASH Diet Score Identified Novel Loci for Systolic Blood Pressure.
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; Chai, Jin Fang; Whitton, Clare; VAN Dam, Rob M; Liu, Jianjun; Tai, E Shyong; Sim, Xueling; Neuhouser, Marian L; Kooperberg, Charles; Tinker, Lesley; Franceschini, Nora; Huan, Tianxiao; Winkler, Thomas W; Bentley, Amy R; Gauderman, W James; Heerkens, Luc; Tanaka, Toshiko; van Rooij, Jeroen; Munroe, Patricia B; Warren, Helen R; Voortman, Trudy; Chen, Honglei; Rao, D C; Levy, Daniel; Ma, Jiantao.
Afiliación
  • Guirette M; Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
  • Lan J; Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, USA.
  • McKeown N; Programs of Nutrition, Department of Health Sciences, Sargent College of Health & Rehabilitation Sciences, Boston University, Boston, MA, USA.
  • Brown MR; Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Chen H; Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
  • DE Vries PS; Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Kim H; Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA.
  • Rebholz CM; Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
  • Morrison AC; Human Genetics Center, Department of Epidemiology, Human Genetics and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA.
  • Bartz TM; Cardiovascular Health Research Unit, Departments of Biostatistics and Medicine, University of Washington, Seattle, WA, USA.
  • Fretts AM; Cardiovascular Health Research Unit, Department of Epidemiology, University of Washington, Seattle, WA, USA.
  • Guo X; The Lundquist Institute at Harbor-UCLA, Torrance, CA, USA.
  • Lemaitre RN; Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA, USA.
  • Liu CT; Biostatistics, Boston University School of Public Health, Boston, MA, USA.
  • Noordam R; Department of Internal Medicine, Section of Gerontology and Geriatrics, Leiden University Medical Center, Leiden, the Netherlands.
  • DE Mutsert R; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
  • Rosendaal FR; Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
  • Wang CA; School of Medicine and Public Health, University of Newcastle, NSW, Australia.
  • Beilin L; Hunter Medical Research Institute, NSW, Australia.
  • Mori TA; Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley, Western Australia, Australia.
  • Oddy WH; Medical School, Royal Perth Hospital Unit, University of Western Australia, Crawley, Western Australia, Australia.
  • Pennell CE; Menzies Institute for Medical Research, University of Tasmania, Hobart, Australia Saw Swee Hock, School of Public Health, National University of Singapore and National University Health System, Singapore.
  • Chai JF; School of Medicine and Public Health, University of Newcastle, NSW, Australia.
  • Whitton C; Hunter Medical Research Institute, NSW, Australia.
  • VAN Dam RM; School of Population Health, Curtin University, Perth, Western Australia, Australia.
  • Liu J; School of Population Health, Curtin University, Perth, Western Australia, Australia.
  • Tai ES; Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore.
  • Sim X; School of Population Health, Curtin University, Perth, Western Australia, Australia.
  • Neuhouser ML; Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore.
  • Kooperberg C; School of Population Health, Curtin University, Perth, Western Australia, Australia.
  • Tinker L; Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
  • Franceschini N; School of Population Health, Curtin University, Perth, Western Australia, Australia.
  • Huan T; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Winkler TW; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Bentley AR; Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Gauderman WJ; Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina, Chapel Hill, NC, USA.
  • Heerkens L; Framingham Heart Study and Population Sciences Branch, NHLBI, Framingham, MA, USA.
  • Tanaka T; Department of Genetic Epidemiology, University of Regensburg; Regensburg, Germany.
  • van Rooij J; Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
  • Munroe PB; Division of Biostatistics, Department of Population and Public Health Sciences, University of Southern California; CA, USA.
  • Warren HR; Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, the Netherlands.
  • Voortman T; Longitudinal Studies Section, National Institute on Aging, Baltimore, MD, USA.
  • Chen H; Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
  • Rao DC; Centre of Clinical Pharmacology & Precision Medicine, William Harvey Research Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK.
  • Levy D; Centre of Clinical Pharmacology & Precision Medicine, William Harvey Research Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, London, UK.
  • Ma J; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands.
medRxiv ; 2023 Nov 11.
Article en En | MEDLINE | ID: mdl-37986948
ABSTRACT

Objective:

We examined interactions between genotype and a Dietary Approaches to Stop Hypertension (DASH) diet score in relation to systolic blood pressure (SBP).

Methods:

We analyzed up to 9,420,585 biallelic imputed single nucleotide polymorphisms (SNPs) in up to 127,282 individuals of six population groups (91% of European population) from the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium (CHARGE; n=35,660) and UK Biobank (n=91,622) and performed European population-specific and cross-population meta-analyses.

Results:

We identified three loci in European-specific analyses and an additional four loci in cross-population analyses at P for interaction < 5e-8. We observed a consistent interaction between rs117878928 at 15q25.1 (minor allele frequency = 0.03) and the DASH diet score (P for interaction = 4e-8; P for heterogeneity = 0.35) in European population, where the interaction effect size was 0.42±0.09 mm Hg (P for interaction = 9.4e-7) and 0.20±0.06 mm Hg (P for interaction = 0.001) in CHARGE 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 (mQTL) variants (P = 1e-300). While the closest gene for rs117878928 is MTHFS, the highest narrow sense heritability accounted by SNPs potentially interacting with the DASH diet score in this locus was for gene ST20 at 15q25.1.

Conclusion:

We demonstrated gene-DASH diet score interaction effects on SBP in several loci. Studies with larger diverse populations are needed to validate our findings.
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: MedRxiv Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos