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Heritability of blood pressure traits in diverse populations: a systematic review and meta-analysis

Kolifarhood, Goodarz, Daneshpour, Maryam, Hadaegh, Farzad, Sabour, Siamak, Mozafar Saadati, Hossein, Akbar Haghdoust, Ali, Akbarzadeh, Mahdi, Sedaghati-Khayat, Bahareh, Khosravi, Nasim·2019·Journal of Human Hypertension
DOI 10.1038/s41371-019-0253-4
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Abstract

To understand the genetic architecture and make inferences about transmissible resemblance of systolic and diastolic blood pressure (SBP and DBP) traits in relatives, the polygenic effect of individual alleles in terms of narrow heritability (h 2 ) is usually assessed. The heritability estimates for BP traits are population specific parameters with a wide range in different studies (6-68%), and there is no comprehensive evidence comparing its source(s) of heterogeneity. To fill the gap, this systematic review and meta-analysis study was carried out. Using MeSH terms, 647 records were detected through searching, "Pubmed," "Ebsco," "Web of Science," and "Scopus" databases. From these, 24 relevant full-text articles with 47 comparisons for final quantitative meta-analysis were included in our review over the five continents. The additive genetic effects of both traits showed a widespread distribution (h 2 SBP : 17-52%, h 2 DBP :19-41%). Different categories of transmissible resemblance for BP traits were explained by ethnicity; higher heritability was estimated in Europeans and Mexican Americans, while lower heritability was seen in the Middle Eastern, Asians, Africans, Latinos, Hispanics, and American Indians. Low heterogeneity of polygenic effects was seen for both traits in subgroups of the Middle East, Asians, Africans, and Latinos, Hispanics, American Indians. However, there was a substantial heterogeneity of h 2 within European and Mexican American studies. Neither pedigre…

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Research works printed but not linked: 43

  1. Mein A, Caulfield J, Dobson J, Munroe B. Genetics of essential hypertension. Hum Mol Genet. 2004;13:R169–R175. · DOI
  2. Fermino R, Seabra A, Rui G, Maia A. Genetic factors and variability in blood pressure: a brief literature review. Rev Bras Cineantropom Desempenho Hum. 2009;11:341–9.
  3. Chaves RN, Souza MC, Santos D, Garganta R, Seabra A, Maia JAR. Agregação familiar nos níveis de atividade física: um resumo do estado da arte. Rev Bras Ativ FíSci Saúde. 2010;15:19–26.
  4. Coram A, Candille I, Duan Q, Chan K, Li Y, Kooperberg C, et al. Leveraging multi-ethnic evidence for mapping complex traits in minority populations: an empirical bayes approach. Am J Hum Genet. 2015;96:740–52. · DOI
  5. Morris P. Transethnic meta-analysis of genomewide association studies. Genet Epidemiol. 2011;35:809–22. · DOI
  6. Watkins WS, Rohrwasser A, Peiffer A, Leppert M, Lalouel JM, Jorde LB. AGT genetic variation, plasma agt, and blood pressure: an analysis of the utah genetic reference project pedigrees. Am J Hypertension. 2010;23:917–23. · DOI
  7. DeMenna J, Puppala S, Chittoor G, Schneider J, Kim JY, Shaibi GQ, et al. Association of common genetic variants with diabetes and metabolic syndrome related traits in the arizona insulin resistance registry: a focus on Mexican American families in the southwest. Hum Hered. 2014;78:47–58. · DOI
  8. Fowler P, Puppala S, Arya R, Chittoor G, Farook VS, Jennifer Schneider J, et al. Genetic epidemiology of cardiometabolic risk ractors and their clustering patterns in Mexican American children and adolescents: the SAFARI study. Hum Genet. 2013;132: https://doi.org/10.1007/s00439-013-1315-2 . · DOI
  9. Puppala S, Coletta DK, Schneider J, Hu SL, Farook VS, Dyer TD, et al. Genome-wide linkage screen for systolic blood pressure in the veterans administration genetic epidemiology study (VAGES) of Mexican-Americans and confirmation of a major susceptibility locus on chromosome 6q14.1. Hum Hered. 2011;71:1–10. · DOI
  10. North KE, Howard BV, Welty TK, Best LG, Lee ET, Yeh JL, et al. Genetic and environmental contributions to cardiovascular disease risk in american indians. Am J Epidemiol. 2003;157:303–14. · DOI
  11. Lin H, Boden-Albala B, Juo SH, Park N, Rundek T, Sacco RL. Heritabilities of the metabolic syndrome and its components in the Northern Manhattan Family Study. Diabetologia. 2005;48:2006–12. · DOI
  12. Butte N, Comuzzie AG, Cole SA, Mehta NR, Cai G, Tejero M, et al. Quantitative genetic analysis of the metabolic syndrome in hispanic children. Pediatr Res. 2005;58:1243–8. · DOI
  13. Chaves R, Baxter-Jones A, Santos D, Gomes TN, dos Santos FK, de Souza MC, et al. Clustering of body composition, blood pressure and physical activity in Portuguese families. Ann Hum Biol. 2014;41:159–67. · DOI
  14. Fermino R, Seabra A, Garganta R, Maia R. Genetic factors in familial aggregation of blood pressure of Portuguese nuclear family. Arq Bras Cardiol. 2009;92:199–204. · DOI
  15. Bellia A, Giardina E, Lauro D, Tesauro M, Di Fede G, Cusumano G, et al. “The Linosa Study”: Epidemiological and heritability data of the metabolic syndrome in a Caucasian genetic isolate. Nutr, Metab Cardiovascular Dis. 2009;19:455–61. · DOI
  16. Fava C, Burri P, Almgren P, Groop L, Hulthe UL, Melander O. Heritability of ambulatory and office blood pressure phenotypes in Swedish families. J Hypertens. 2004;22:1717–21. · DOI
  17. Jelenkovic A, Poveda A, Rebato E. A statistical investigation into the sharing of common genetic factors between blood pressure and obesity phenotypes in nuclear families from the Greater Bilbao (Spain). J Hypertens. 2010;28:723–31. · DOI
  18. Biino G, Parati G, Concas MP, Adamo M, Angius A, Vaccargiu S, et al. Environmental and genetic contribution to hypertension prevalence: data from an epidemiological survey on sardinian genetic isolates. PLoS ONE. 8:e59612. https://doi.org/10.1371/journal.pone.0059612 . · DOI
  19. Poveda A, Chen Y, Brändström A, Engberg E, Hallmans G, Johansson I, et al. The heritable basis of gene–environment interactions in cardiometabolic traits. Diabetologia. 2017;60:442–52. · DOI
  20. Dongen J, Willemsen G, Chen WM, de Geus E, Boomsma DI. Heritability of metabolic syndrome traits in a large population-based sample. J Lipid Res. 2013;54:2914–23. · DOI
  21. Rijn M, Schut A, Aulchenko YS, Deinum J, Sayed-Tabatabaei FA, Yazdanpanah M, et al. Heritability of blood pressure traits and the genetic contribution to blood pressure variance explained by four blood-pressure-related genes. J Hypertens. 2007;25:565–70. · DOI
  22. Forjaz C, Bartholomeu T, Rezende JA, Oliveira JA, Basso L, Tani G, et al. Genetic and environmental influences on blood pressure and physical activity: a study of nuclear families from Muzambinho, Brazil. Braz J Med Biol Res. 2012;45:1269–75. · DOI
  23. de Oliveira C, Pereira AC, de Andrade M, Soler JM, Krieger JE. Heritability of cardiovascular risk factors in a Brazilian population: Baependi Heart Study. BMC Med Genet. 2008;9:32. · DOI
  24. Bastarrachea A, Kent JW, Rozada G, Cole SA, López-Alvarenga JC, Aradillas C, et al. Heritability and genetic correlations of metabolic disease–related phenotypes in Mexico: preliminary report from the GEMM Family Study. Hum Biol. 2007;79:121–9. · DOI
  25. Gu D, Rice T, Wang S, Yang W, Gu C, Chen C, et al. Heritability of blood pressure responses to dietary sodium and potassium intake in chinese population. Hypertension. 2007;50:116–22. · DOI
  26. Zarkesh M, Daneshpour MS, Faam B, Fallah MS, Hosseinzadeh N, Guity K, et al. Heritability of the metabolic syndrome and its components in the Tehran Lipid and Glucose Study (TLGS). Genet Res, Camb. 2012;94:331–337. · DOI
  27. Bayoumi R, Al-Yahyaee SA, Albarwani SA, Rizvi SG, Al-Hadabi S, Al-Ubaidi FF, et al. Heritability of determinants of the metabolic syndrome among healthy Arabs of the Oman Family Study. OBESITY 2007;15:551–6. · DOI
  28. Adeyemo A, Omotade OO, Rotimi CN, Luke AH, Tayo BO, Cooper RS. Heritability of blood pressure in Nigerian families. J Hypertens. 2002;20:859–63. · DOI
  29. Knuiman M, Divitini ML, Welborn TA, Bartholomew HC. Familial correlations, cohabitation effects, and heritability for cardiovascular risk factors. AEP. 1996;6:188–94.
  30. Cui S, Hopper JL, Harrap SB. Antihypertensive treatments obscure familial contributions to blood pressure variation. Hypertension. 2003;41:207–10. · DOI
  31. Tobin M, Sheehan NA, Scurrah KJ, Burton PR. Adjusting for treatment effects in studies of quantitative traits: antihypertensive therapy and systolic blood pressure. Stat Med. 2005;24:2911–35. · DOI
  32. Mancia G, Di Rienzo M, Parati G. Ambulatory blood pressure monitoring use in hypertension research and clinical practice. Hypertension. 1993;21:510–24. · DOI
  33. McAlister F, Sharon E. Straus. Evidence based treatment of hypertension. Meas blood Press. 2001;322:908–11.
  34. Rosenberg N, Huang L, Jewett EM, Szpiech ZA, Jankovic I, Boehnke M. Genome-wide association studies in diverse populations. Nat Rev Genet. 2010;11:356–66. · DOI · Paper page
  35. Mitchell B, Kammerer CM, Blangero J, Mahaney MC, Rainwater DL, Dyke B. Genetic and environmental contributions to cardiovascular risk factors in Mexican Americans: the San Antonio Family Heart Study. Circulation. 1996;94:2159–70. · DOI
  36. Rose R. Heritability: overview. In: Everitt BS, Howell D(eds). Encyclopedia of statistics in behavioral science. (John Wiley & Sons Ltd, West Sussex, 2005) pp 787–90.
  37. Rose R, Dick D, Viken R, Kaprio J. Gene-environment interaction in patterns of adolescent drinking: regional residency moderates longitudinal influences on alcohol use. Alcoholism 2001;25:637–43. · DOI
  38. Kendler K, Thornton L, Pedersen N. Tobacco consumption in Swedish twins reared apart and reared together. Arch Gen Psychiatry. 2000;57:886–92. · DOI
  39. Mahaney M, Blangero J, Comuzzie AG, VandeBerg JL, Stern MP, MacCluer JW. Plasma HDL cholesterol, triglycerides, and adiposity: a quantitative test of the cojoint trait hypothesis in the San Antonio Family Heart Study. Circulation. 1995;92:3240–8. · DOI
  40. Hughes M, Pocock SJ. Within-subject diastolic blood pressure variability: implications for risk assessment and screening. J Clin Epidemiol. 1992;45:985–98. · DOI
  41. Kolifarhood G, Daneshpour MS, Sedaghati Khayat B, Mozafar Saadati H, Guity K, Khosravi N, et al. Generality of genomic findings on blood pressure traits and its usefulness in precision medicine in diverse populations: a systematic review. Clin Genet. 2019;96:17–27. · DOI
  42. Sun D, Liu J, Xiao L, Liu Y, Wang Z, Li C, et al. Recent development of risk-prediction models for incident hypertension: an updated systematic review. PLoS ONE. 2017;12:e0187240. · DOI
  43. Tropf F, Lee S, Verweij R, Stulp G, van der Most P, de Vlaming R, et al. Hidden heritability due to heterogeneity across seven populations. Nat Hum Behav. 2017;1:757. · DOI · Paper page

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Metadata

Authors
Kolifarhood, G., Daneshpour, M., Hadaegh, F., Sabour, S., Mozafar Saadati, H., Akbar Haghdoust, A., Akbarzadeh, M., Sedaghati-Khayat, B., & Khosravi, N.
ORCID
Venue
Journal of Human Hypertension
Publisher
Springer Science and Business Media LLC
Published
2019-09-24
Volume
33
Issue
11
Pages
775-785
ISSN
  • 0950-9240
  • 1476-5527
DOI
10.1038/s41371-019-0253-4
Cited by
42
References
4
Language
en
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