2014
DOI: 10.1111/cdep.12078
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Testing the Developmental Origins of Health and Disease Hypothesis for Psychopathology Using Family‐Based, Quasi‐Experimental Designs

Abstract: The Developmental Origin of Health and Disease (DOHaD) hypothesis is a broad theoretical framework that emphasizes how early risk factors have a causal influence on psychopathology. Researchers have raised concerns about the causal interpretation of statistical associations between early risk factors and later psychopathology because most existing studies have been unable to rule out the possibility of environmental and genetic confounding. In this paper we illustrate how family-based quasi-experimental design… Show more

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Cited by 39 publications
(43 citation statements)
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“…The moderation of BW effects by child sex has been previously investigated in a population-based sibling analysis; however, results from that study did not indicate sex moderation (Class et al, 2014). The use of sibling designs remains essential for parsing genetic confounds in work aiming to understand the impact of environmental exposures on the development of psychopathology (D’Onofrio et al, 2014). Yet, much of this work has focused on categorical ADHD outcomes (rather than dimensional symptom scores), which may account for our discrepant findings.…”
Section: Discussionmentioning
confidence: 99%
“…The moderation of BW effects by child sex has been previously investigated in a population-based sibling analysis; however, results from that study did not indicate sex moderation (Class et al, 2014). The use of sibling designs remains essential for parsing genetic confounds in work aiming to understand the impact of environmental exposures on the development of psychopathology (D’Onofrio et al, 2014). Yet, much of this work has focused on categorical ADHD outcomes (rather than dimensional symptom scores), which may account for our discrepant findings.…”
Section: Discussionmentioning
confidence: 99%
“…First, to further strengthen the inference from these methods we believe that researchers should also use other family-based, genetically-informative designs, such as the co-twin design (McGue et al, 2010), quantitative genetic modeling of identical and fraternal twins (Turkheimer & Harden, submitted), adoption studies (Leve, Neiderhiser, Scaramella, & Reiss, 2010), and in vitro fertilization approaches (Thapar et al, 2007) when appropriate. For instance, causal inference regarding the importance of fetal growth for psychosocial outcomes have been greatly strengthened by the use of several genetically-informed designs (review in Donofrio et al, 2014). Researchers also can use genetically-informed approaches that rely on molecular genetic data, such as Mendelian Randomization (Smith & Ebrahim, 2005), to examine early-life exposures.…”
Section: Future Directionsmentioning
confidence: 99%
“…Genetically-informative studies can help test competing hypotheses, which is the focus of the articles in this special issue of Behavior Genetics . Several articles and books also review the strengths and limitations of many different genetically informed designs (e.g., D’Onofrio, Lahey, Turkheimer, & Lichtenstein, 2013; Knopik, 2009; Lawlor & Mishra, 2009; Rutter, Pickles, Murray, & Eaves, 2001), and elsewhere we have briefly reviewed how some of the designs have been specifically used to examine early-life exposures (Donofrio, Class, Lahey, & Larsson, 2014). …”
mentioning
confidence: 99%
“…Thus, the same genetic influences causing poor health in the mother may also lead to LBW or fetal growth restriction, and subsequently cause poorer health in her offspring. This could explain some of the associations found between LBW and adverse health effects in offspring (D’Onofrio, Class, Lahey, & Larsson, 2014; Oberg, Cnattingius, Sandin, Lichtenstein, & Iliadou, 2011). …”
Section: Introductionmentioning
confidence: 96%
“…Finally, co-twin control analyses allow us to determine whether potential associations between LBW and self-perceived health are due to shared genetic or environmental effects (shared underlying liability) or whether they are truly causal in nature, i.e. the effects of fetal growth on self-perceived health are direct environmental (D’Onofrio et al, 2014; McGue, Osler, & Christensen, 2010). As twin siblings have identical gestational age, BW differences within twin pairs reflect differences in fetal growth.…”
Section: Introductionmentioning
confidence: 99%