Child-parent associations of hematocrit in trios of Japanese adulthood confirmed by the random family method: The TMM BirThree Cohort Study.
Bootstrap method
Child-parent association
Hematocrit
Permutation method
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
16 Aug 2024
16 Aug 2024
Historique:
received:
05
02
2024
accepted:
08
08
2024
medline:
17
8
2024
pubmed:
17
8
2024
entrez:
16
8
2024
Statut:
epublish
Résumé
To examine child-parent associations of HCT among Japanese adults and their parents. Factors associated with hematocrit (HCT) were analyzed in 3,574 sons and 7,203 daughters using Pearson's correlation coefficient and Student's t-test. Multiple linear regression analysis, adjusted by the factors identified by univariate analyses and by living with parents, was performed on 242 son-parent trios and 587 daughter-parent trios. When a child-parent association was observed in the multiple linear regression analysis, it was validated using the random family method (RFM). In univariate analyses, the son's HCT was associated with age (correlation coefficient = -0.072), white blood cell (WBC) (0.19), alanine aminotransferase (ALT) (0.20), triglyceride (0.11), and estimated glomerular filtration rate (eGFR) (- 0.087). The daughter's HCT was associated with WBC (0.014), ALT (0.18), and eGFR (- 0.17). In multiple linear regression analysis, the son's HCT was associated with the son's WBC (coefficient = 3.48 × 10
Identifiants
pubmed: 39152204
doi: 10.1038/s41598-024-69752-2
pii: 10.1038/s41598-024-69752-2
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
19047Subventions
Organisme : Japan Agency for Medical Research and Development
ID : JP17km0105001
Organisme : Japan Agency for Medical Research and Development
ID : JP17km0105001
Organisme : Japan Agency for Medical Research and Development
ID : JP17km0105001
Organisme : Japan Agency for Medical Research and Development
ID : JP17km0105001
Organisme : Japan Agency for Medical Research and Development
ID : JP17km0105001
Organisme : Japan Agency for Medical Research and Development
ID : JP17km0105001
Organisme : Japan Agency for Medical Research and Development
ID : JP17km0105001
Organisme : Japan Agency for Medical Research and Development
ID : JP17km0105001
Informations de copyright
© 2024. The Author(s).
Références
Greer, J. P. et al. Wintrobe's Clinical Hematology. (Wolters Kluwer Health Pharma Solutions Ltd, 2018).
Whitfield, J. B. & Martin, N. G. Genetic and environmental influences on the size and number of cells in the blood. Genet. Epidemiol. 2, 133–144. https://doi.org/10.1002/gepi.1370020204 (1985).
doi: 10.1002/gepi.1370020204
pubmed: 4054596
Boffetta, P. et al. A U-shaped relationship between haematocrit and mortality in a large prospective cohort study. Int. J. Epidemiol. 42, 601–615. https://doi.org/10.1093/ije/dyt013 (2013).
doi: 10.1093/ije/dyt013
pubmed: 23569195
pmcid: 3619954
Kiyohara, Y. et al. Hematocrit as a risk factor of cerebral infarction: Long-term prospective population survey in a Japanese rural community. Stroke 17, 687–692. https://doi.org/10.1161/01.str.17.4.687 (1986).
doi: 10.1161/01.str.17.4.687
pubmed: 3738953
Groenveld, H. F. et al. Anemia and mortality in heart failure patients a systematic review and meta-analysis. J. Am. Coll. Cardiol. 52, 818–827. https://doi.org/10.1016/j.jacc.2008.04.061 (2008).
doi: 10.1016/j.jacc.2008.04.061
pubmed: 18755344
Kunnas, T. et al. Hematocrit and the risk of coronary heart disease mortality in the TAMRISK study, a 28-year follow-up. Prev. Med. 49, 45–47. https://doi.org/10.1016/j.ypmed.2009.04.015 (2009).
doi: 10.1016/j.ypmed.2009.04.015
pubmed: 19409924
Rieder, F. et al. Hemoglobin and hematocrit levels in the prediction of complicated Crohn’s disease behavior–a cohort study. PLoS One 9, e104706. https://doi.org/10.1371/journal.pone.0104706 (2014).
doi: 10.1371/journal.pone.0104706
pubmed: 25116048
pmcid: 4130535
Evans, D. M., Frazer, I. H. & Martin, N. G. Genetic and environmental causes of variation in basal levels of blood cells. Twin Res. 2, 250–257. https://doi.org/10.1375/136905299320565735 (1999).
doi: 10.1375/136905299320565735
pubmed: 10723803
Dal Colletto, G. M., Fulker, D. W., Barretto, O. C. & Kolya, M. Genetic and environmental effects on blood cells. Acta Genet. Med. Gemellol. (Roma) 42, 245–252. https://doi.org/10.1017/s000156600000324x (1993).
doi: 10.1017/s000156600000324x
Røysamb, E. & Tambs, K. The beauty, logic and limitations of twin studies. Norsk Epidemiologi https://doi.org/10.5324/nje.v26i1-2.2014 (2016).
doi: 10.5324/nje.v26i1-2.2014
Timoteo, V. J., Chiang, K. M., Yang, H. C. & Pan, W. H. Common and ethnic-specific genetic determinants of hemoglobin concentration between Taiwanese Han Chinese and European Whites: Findings from comparative two-stage genome-wide association studies. J. Nutr. Biochem. 111, 109126. https://doi.org/10.1016/j.jnutbio.2022.109126 (2023).
doi: 10.1016/j.jnutbio.2022.109126
pubmed: 35964923
Kaur, S., Khan, S. & Nigam, A. Hematological profile and pregnancy: A review. Int. J. Adv. Med. 1, 2 (2017).
Everitt, B. & Howell, D. C. Encyclopedia of Statistics in Behavioral Science (Wiley, 2005).
doi: 10.1002/0470013192
Usuzaki, T. et al. How can we evaluate whether an association is truly inter-generational?. J. Hyperten. 38, 1866–1868. https://doi.org/10.1097/hjh.0000000000002507 (2020).
doi: 10.1097/hjh.0000000000002507
DeFries, J. C. & Fulker, D. W. Multiple regression analysis of twin data. Behav. Genet. 15, 467–473. https://doi.org/10.1007/BF01066239 (1985).
doi: 10.1007/BF01066239
pubmed: 4074272
Association, W. M. World Medical Association Declaration of Helsinki: Ethical principles for medical research involving human subjects. JAMA 310, 2191–2194 (2013).
doi: 10.1001/jama.2013.281053
Kuriyama, S. et al. Cohort profile: Tohoku medical megabank project birth and three-generation cohort study (TMM BirThree Cohort Study): Rationale, progress and perspective. Int. J. Epidemiol. https://doi.org/10.1093/ije/dyz169 (2019).
doi: 10.1093/ije/dyz169
pubmed: 30848787
pmcid: 7124511
Kuriyama, S. et al. The Tohoku medical megabank project: Design and mission. J. Epidemiol. 26, 493–511. https://doi.org/10.2188/jea.JE20150268 (2016).
doi: 10.2188/jea.JE20150268
pubmed: 27374138
Price, E. A. Aging and erythropoiesis: Current state of knowledge. Blood Cells Mol. Dis. 41, 158–165. https://doi.org/10.1016/j.bcmd.2008.04.005 (2008).
doi: 10.1016/j.bcmd.2008.04.005
pubmed: 18514554
Hu, Y. et al. Serum alanine aminotransferase is correlated with hematocrit in healthy human subjects. Scand J. Clin. Lab. Invest. 72, 258–264. https://doi.org/10.3109/00365513.2012.660536 (2012).
doi: 10.3109/00365513.2012.660536
pubmed: 22486855
pmcid: 4213065
Fornal, M. et al. Triglycerides as indicators of erythrocyte hemoglobin oxygen-binding properties1. Clin. Hemorheol. Microcirc. 69, 289–294. https://doi.org/10.3233/ch-189127 (2018).
doi: 10.3233/ch-189127
pubmed: 29660922
Chen, T. K. et al. Longitudinal changes in hematocrit in hypertensive chronic kidney disease: Results from the African-American Study of Kidney Disease and Hypertension (AASK). Nephrol. Dial. Transplant 30, 1329–1335. https://doi.org/10.1093/ndt/gfv037 (2015).
doi: 10.1093/ndt/gfv037
pubmed: 25817226
pmcid: 4513895
Eisenga, M. F. et al. Active smoking and hematocrit and fasting circulating erythropoietin concentrations in the general population. Mayo Clin. Proc. 93, 337–343. https://doi.org/10.1016/j.mayocp.2018.01.005 (2018).
doi: 10.1016/j.mayocp.2018.01.005
pubmed: 29502563
Deitch, E. A. et al. Hormonally active women tolerate shock-trauma better than do men: A prospective study of over 4000 trauma patients. Ann. Surg. 246, 447–453. https://doi.org/10.1097/SLA.0b013e318148566 (2007).
doi: 10.1097/SLA.0b013e318148566
pubmed: 17717448
pmcid: 1959345
Usuzaki, T. et al. Identifying key factors for predicting O6-Methylguanine-DNA methyltransferase status in adult patients with diffuse glioma: A multimodal analysis of demographics, radiomics, and MRI by variable Vision Transformer. Neuroradiology https://doi.org/10.1007/s00234-024-03329-8 (2024).
doi: 10.1007/s00234-024-03329-8
pubmed: 38472373
pmcid: 11031474
Usuzaki, T. et al. Predicting isocitrate dehydrogenase status among adult patients with diffuse glioma using patient characteristics, radiomic features, and magnetic resonance imaging: Multi-modal analysis by variable vision transformer. Mag. Resonance Imaging https://doi.org/10.1016/j.mri.2024.05.012 (2024).
doi: 10.1016/j.mri.2024.05.012
Usuzaki, T. et al. Predicting EGFR status after radical nephrectomy or partial nephrectomy for renal cell carcinoma on CT using a self-attention-based model: variable vision transformer (vViT). J. Imaging Inform. Med. https://doi.org/10.1007/s10278-024-01180-0 (2024).
doi: 10.1007/s10278-024-01180-0
pubmed: 38940889
Mehta, A. B. & McIntyre, N. Haematological disorders in liver disease. Forum (Genova) 8, 8–25 (1998).
pubmed: 9514991
Wang, C. Y. & Babitt, J. L. Liver iron sensing and body iron homeostasis. Blood 133, 18–29. https://doi.org/10.1182/blood-2018-06-815894 (2019).
doi: 10.1182/blood-2018-06-815894
pubmed: 30401708
pmcid: 6318427
Astor, B. C., Muntner, P., Levin, A., Eustace, J. A. & Coresh, J. Association of kidney function with anemia: the Third National Health and Nutrition Examination Survey (1988–1994). Arch. Intern. Med. 162, 1401–1408. https://doi.org/10.1001/archinte.162.12.1401 (2002).
doi: 10.1001/archinte.162.12.1401
pubmed: 12076240
Schrier, R. W. Diseases of the Kidney and Urinary Tract (Lippincott Williams & Wilkins, 2007).
Guralnik, J. M., Eisenstaedt, R. S., Ferrucci, L., Klein, H. G. & Woodman, R. C. Prevalence of anemia in persons 65 years and older in the United States: Evidence for a high rate of unexplained anemia. Blood 104, 2263–2268. https://doi.org/10.1182/blood-2004-05-1812 (2004).
doi: 10.1182/blood-2004-05-1812
pubmed: 15238427
Yee, A. Z., Lwin, M. O. & Ho, S. S. The influence of parental practices on child promotive and preventive food consumption behaviors: A systematic review and meta-analysis. Int. J. Behav. Nutr. Phys. Act 14, 47. https://doi.org/10.1186/s12966-017-0501-3 (2017).
doi: 10.1186/s12966-017-0501-3
pubmed: 28399881
pmcid: 5387370
Cogswell, M. E., Kettel-Khan, L. & Ramakrishnan, U. Iron supplement use among women in the United States: Science, policy and practice. J. Nutr. 133, 1974S-1977S. https://doi.org/10.1093/jn/133.6.1974S (2003).
doi: 10.1093/jn/133.6.1974S
pubmed: 12771348
Thomson, C. A. et al. Nutrient intake and anemia risk in the women’s health initiative observational study. J. Am. Diet Assoc. 111, 532–541. https://doi.org/10.1016/j.jada.2011.01.017 (2011).
doi: 10.1016/j.jada.2011.01.017
pubmed: 21443985
pmcid: 3066454
Kusumi, E. et al. Prevalence of anemia among healthy women in 2 metropolitan areas of Japan. Int. J. Hematol. 84, 217–219. https://doi.org/10.1532/IJH97.06097 (2006).
doi: 10.1532/IJH97.06097
pubmed: 17050194
Comprehensive Survey of Living Conditions. (Ministry of Health, Labour and Welfare, 2019).
Miyo, N., Mamiko, K. & Susaki, H. Investigation of supplement usage and awareness in working adult. Off. J. Japan Primary Care Assoc. 34, 38–47. https://doi.org/10.14442/generalist.34.38 (2011).
doi: 10.14442/generalist.34.38