Literature DB >> 11116116

Evidence for genetic factors explaining the birth weight-blood pressure relation. Analysis in twins.

R G IJzerman1, C D Stehouwer, D I Boomsma.   

Abstract

Epidemiological studies have consistently shown an inverse association between birth weight and systolic blood pressure in later life after adjustment for current size. To examine whether this association is explained by intrauterine or genetic factors, we investigated birth weight and blood pressure data in 53 dizygotic and 61 monozygotic adolescent twin pairs. Birth weight was obtained from the mothers. Blood pressure measurements were performed 6 times at rest and during mental stress. The dizygotic but not the monozygotic twins with the lowest birth weight from each pair had a systolic blood pressure measured at rest and during the reaction time experiment that was higher compared with their cotwins with the highest birth weight (dizygotic twins: blood pressure at rest, 119. 4+/-9.7 mm Hg versus 117.3+/-8.5 mm Hg, P=0.07, and during a reaction time task, 126.2+/-10.8 versus 123.6+/-9.5, P=0.09; monozygotic twins: blood pressure at rest, 117.4+/-6.4 versus 118. 4+/-9.0, P=0.4, and during a reaction time task, 122.9+/-8.4 versus 124.2+/-10.8, P=0.2). The differences in blood pressure between the cotwins with the lowest and the cotwins with the highest birth weight were different in dizygotic compared with monozygotic twin pairs (for blood pressure at rest, P=0.05; for blood pressure during reaction time, P=0.03). After adjustment for differences in current weight, intrapair differences in birth weight were negatively and significantly associated with differences in systolic blood pressure at rest and during the reaction time task in dizygotic twins (regression coefficient, -5.7 mm Hg/kg [95% confidence interval, -10.4 to -1.0] and -6.3 [-12.7 to 0], respectively) but not in monozygotic twins (-0.1 [-5.4 to 5.2] and +3.5 [-1.8 to 8.8], respectively). Interaction analysis indicated that the associations were different between dizygotic twins and monozygotic twins (P=0.1 and P<0.05, respectively). These data suggest that genetic factors may play an important role in the association between birth weight and blood pressure.

Mesh:

Year:  2000        PMID: 11116116     DOI: 10.1161/01.hyp.36.6.1008

Source DB:  PubMed          Journal:  Hypertension        ISSN: 0194-911X            Impact factor:   10.190


  10 in total

1.  Birthweight of offspring and mortality of parents: the Jerusalem perinatal study cohort.

Authors:  Yechiel Friedlander; Ora Paltiel; Orly Manor; Lisa Deutsch; Rivka Yanetz; Ronit Calderon-Margalit; David S Siscovick; Susan Harlap
Journal:  Ann Epidemiol       Date:  2007-09-14       Impact factor: 3.797

2.  Ophthalmic phenotypes and the representativeness of twin data for the general population.

Authors:  Paul G Sanfilippo; Sarah E Medland; Alex W Hewitt; Lisa S Kearns; Jonathan B Ruddle; Cong Sun; Christopher J Hammond; Terri L Young; Nicholas G Martin; David A Mackey
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-07-29       Impact factor: 4.799

3.  The relationship between birthweight and longitudinal changes of blood pressure is modulated by beta-adrenergic receptor genes: the Bogalusa Heart Study.

Authors:  Wei Chen; Sathanur R Srinivasan; D Michael Hallman; Gerald S Berenson
Journal:  J Biomed Biotechnol       Date:  2010-05-11

4.  Birth weight effects on children's mental, motor, and physical development: evidence from twins data.

Authors:  Ashlesha Datar; Alison Jacknowitz
Journal:  Matern Child Health J       Date:  2009-03-24

5.  Genetic and environmental factors affecting birth size variation: a pooled individual-based analysis of secular trends and global geographical differences using 26 twin cohorts.

Authors:  Yoshie Yokoyama; Aline Jelenkovic; Yoon-Mi Hur; Reijo Sund; Corrado Fagnani; Maria A Stazi; Sonia Brescianini; Fuling Ji; Feng Ning; Zengchang Pang; Ariel Knafo-Noam; David Mankuta; Lior Abramson; Esther Rebato; John L Hopper; Tessa L Cutler; Kimberly J Saudino; Tracy L Nelson; Keith E Whitfield; Robin P Corley; Brooke M Huibregtse; Catherine A Derom; Robert F Vlietinck; Ruth J F Loos; Clare H Llewellyn; Abigail Fisher; Morten Bjerregaard-Andersen; Henning Beck-Nielsen; Morten Sodemann; Robert F Krueger; Matt McGue; Shandell Pahlen; Meike Bartels; Catharina E M van Beijsterveldt; Gonneke Willemsen; Jennifer R Harris; Ingunn Brandt; Thomas S Nilsen; Jeffrey M Craig; Richard Saffery; Lise Dubois; Michel Boivin; Mara Brendgen; Ginette Dionne; Frank Vitaro; Claire M A Haworth; Robert Plomin; Gombojav Bayasgalan; Danshiitsoodol Narandalai; Finn Rasmussen; Per Tynelius; Adam D Tarnoki; David L Tarnoki; Syuichi Ooki; Richard J Rose; Kirsi H Pietiläinen; Thorkild I A Sørensen; Dorret I Boomsma; Jaakko Kaprio; Karri Silventoinen
Journal:  Int J Epidemiol       Date:  2018-08-01       Impact factor: 7.196

6.  Genetic meta-analysis of twin birth weight shows high genetic correlation with singleton birth weight.

Authors:  Jeffrey J Beck; René Pool; Margot van de Weijer; Xu Chen; Eva Krapohl; Scott D Gordon; Marianne Nygaard; Birgit Debrabant; Teemu Palviainen; Matthijs D van der Zee; Bart Baselmans; Casey T Finnicum; Lu Yi; Sebastian Lundström; Toos van Beijsterveldt; Lene Christiansen; Kauko Heikkilä; Julie Kittelsrud; Anu Loukola; Miina Ollikainen; Kaare Christensen; Nicholas G Martin; Robert Plomin; Michel Nivard; Meike Bartels; Conor Dolan; Gonneke Willemsen; Eco de Geus; Catarina Almqvist; Patrik K E Magnusson; Hamdi Mbarek; Erik A Ehli; Dorret I Boomsma; Jouke-Jan Hottenga
Journal:  Hum Mol Genet       Date:  2021-09-15       Impact factor: 6.150

Review 7.  Hypotheses on the fetal origins of adult diseases: contributions of epidemiological studies.

Authors:  Vincent W V Jaddoe; Jacqueline C M Witteman
Journal:  Eur J Epidemiol       Date:  2006       Impact factor: 12.434

8.  Birth measurements, family history, and environmental factors associated with later-life hypertensive status.

Authors:  Xia Chen; Zhen-Xin Zhang; Linda K George; Zi-Shi Wang; Zhong-Jie Fan; Tao Xu; Xiao-Lin Zhou; Shao-Mei Han; Hong-Bo Wen; Yi Zeng
Journal:  Am J Hypertens       Date:  2012-02-02       Impact factor: 2.689

9.  An IGF-I promoter polymorphism modifies the relationships between birth weight and risk factors for cardiovascular disease and diabetes at age 36.

Authors:  Saskia J te Velde; Elisabeth F C van Rossum; Paul G Voorhoeve; Jos W R Twisk; Henriette A Delemarre van de Waal; Coen D A Stehouwer; Willem van Mechelen; Steven W J Lamberts; Han C G Kemper
Journal:  BMC Endocr Disord       Date:  2005-06-01       Impact factor: 2.763

10.  Identifying Children at Risk of High Myopia Using Population Centile Curves of Refraction.

Authors:  Yanxian Chen; Jian Zhang; Ian G Morgan; Mingguang He
Journal:  PLoS One       Date:  2016-12-28       Impact factor: 3.240

  10 in total

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