scholarly journals Developmental Origins of Disease

2020 ◽  
pp. 1-3
Author(s):  
PD Gupta
Keyword(s):  
Risk Factors ◽  
Prenatal Diagnosis ◽  
Genetic Analysis ◽  
Genetic Disorders ◽  
Developmental Origins ◽  
Developmental Origins Of Disease

At any age one can become sick, however, it is pathetic when someone is born with a disease that too which is not expressed immediately. Such diseases show up weeks later and some years later. The causes of such diseases are multifactorial. In this mini-review, we are trying to focus on some important risk factors which should be considered before getting pregnant; in some genetic disorders, genetic analysis is important, even before pregnancy, for others prenatal diagnosis is recommended.

Prenatal diagnosis of genetic disorders

Science ◽  
1978 ◽  
Vol 200 (4344) ◽  
pp. 952-958 ◽  
Author(s):  
G. Omenn
Keyword(s):  
Prenatal Diagnosis ◽  
Genetic Disorders

scholarly journals Mosaic trisomy 17 at amniocentesis: Prenatal diagnosis, molecular genetic analysis, and literature review

2016 ◽  
Vol 55 (5) ◽  
pp. 712-717 ◽  
Author(s):  
Chih-Ping Chen ◽  
Liang-Kai Wang ◽  
Schu-Rern Chern ◽  
Yen-Ni Chen ◽  
Shin-Wen Chen ◽  
...  
Keyword(s):  
Prenatal Diagnosis ◽  
Literature Review ◽  
Genetic Analysis ◽  
Molecular Genetic ◽  
Molecular Genetic Analysis ◽  
Mosaic Trisomy

scholarly journals Establishing a three-generation prospective study: Bogalusa daughters

2019 ◽  
Vol 11 (2) ◽  
pp. 188-195 ◽  
Author(s):  
EW Harville ◽  
D Breckner ◽  
T Shu ◽  
M Cooper ◽  
LA Bazzano
Keyword(s):  
Risk Factors ◽  
Cardiovascular Risk ◽  
Cardiovascular Risk Factors ◽  
Cardiovascular Health ◽  
Epidemiologic Study ◽  
Clinic Visit ◽  
Heart Study ◽  
Developmental Origins Of Disease ◽  
Study Participants ◽  
Study Designs

AbstractObjective:The Developmental Origins of Disease hypothesis has spurred increased interest in how prenatal exposures affect lifelong health, while mechanisms such as epigenetics may explain the multigenerational influences on health. Such factors are not well captured within conventional epidemiologic study designs. We explored the feasibility of collecting information on the offspring and grand-offspring of participants in a long-running study.Design:The Bogalusa Heart Study is a study, begun in 1973, of life-course cardiovascular health in a semirural population (65% white and 35% black).Main measures:Female participants who had previously provided information on their pregnancies were contacted to obtain contact information for their daughters aged 12 and older. Daughters were then contacted to obtain reproductive histories, and invited for a clinic or lab visit to measure cardiovascular risk factors.Results:Two hundred seventy-four daughters of 208 mothers were recruited; 81% (223) had a full clinic visit and 19% (51) a phone interview only. Forty-five percent of the daughters were black, and 55% white. Mean and median age at interview was 27, with 15% under the age of 18. The strongest predictors of participation were black race, recent maternal participation in the parent study, and living in or near Bogalusa. Simple correlations for cardiovascular risk factors across generations were between r = 0.19 (systolic blood pressure) and r = 0.39 (BMI, LDL).Conclusion:It is feasible to contact the children of study participants even when participants are adults, and initial information on the grandchildren can also be determined in this manner.

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