shared environmental influence
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2021 ◽  
Vol 8 ◽  
Author(s):  
Katie J. Lee ◽  
Monika Janda ◽  
Mitchell S. Stark ◽  
Richard A. Sturm ◽  
H. Peter Soyer

Benign naevi are closely linked to melanoma, as risk factors, simulators, or sites of melanoma formation. There is a heavy genetic overlap between the two lesions, a shared environmental influence of ultraviolet radiation, and many similar cellular features, yet naevi remain locally situated while melanomas spread from their primary site and may progress systemically to distal organs. Untangling the overlapping contributors and predictors of naevi and melanoma is an ongoing area of research and should eventually lead to more personalized prevention and treatment strategies, through the development of melanoma risk stratification tools and early detection of evolving melanomas. This will be achieved through a range of complementary strategies: risk-adjusted primary prevention counseling; the use of lesion imaging technologies such as sequential 3D total body photography and consumer-performed lesion imaging; artificial intelligence deep phenotyping and clinical assistance; a better understanding of genetic drivers of malignancy, risk variants, clinical genetics, and polygenic effects; and the interplay between genetics, phenotype and the environment.


2019 ◽  
Vol 30 (4) ◽  
pp. 2099-2113
Author(s):  
Andrew E Reineberg ◽  
Alexander S Hatoum ◽  
John K Hewitt ◽  
Marie T Banich ◽  
Naomi P Friedman

Abstract Detailed mapping of genetic and environmental influences on the functional connectome is a crucial step toward developing intermediate phenotypes between genes and clinical diagnoses or cognitive abilities. We analyzed resting-state functional magnetic resonance imaging data from two adult twin samples (Nos = 446 and 371) to quantify genetic and environmental influence on all pairwise functional connections between 264 brain regions (~35 000 functional connections). Nonshared environmental influence was high across the whole connectome. Approximately 14–22% of connections had nominally significant genetic influence in each sample, 4.6% were significant in both samples, and 1–2% had heritability estimates greater than 30%. Evidence of shared environmental influence was weak. Genetic influences on connections were distinct from genetic influences on a global summary measure of the connectome, network-based estimates of connectivity, and movement during the resting-state scan, as revealed by a novel connectome-wide bivariate genetic modeling procedure. The brain’s genetic organization is diverse and not as one would expect based solely on structure evident in nongenetically informative data or lower resolution data. As follow-up, we make novel classifications of functional connections and examine highly localized connections with particularly strong genetic influence. This high-resolution genetic taxonomy of brain connectivity will be useful in understanding genetic influences on brain disorders.


2018 ◽  
Author(s):  
Andrew E. Reineberg ◽  
Alexander S. Hatoum ◽  
John K. Hewitt ◽  
Marie T. Banich ◽  
Naomi P. Friedman

AbstractDetailed mapping of genetic and environmental influences on the functional connectome is a crucial step toward developing intermediate phenotypes between genes and clinical diagnoses or cognitive abilities. We analyze resting-state data from two, adult twin samples - 390 twins from the Colorado Longitudinal Twin Sample and 422 twins from the Human Connectome Project - to examine genetic and environmental influence on all pairwise functional connections between 264 brain regions (~35,000 functional connections). Non-shared environmental influence was high, genetic influence was moderate, and shared environmental influence was weak-to-moderate across the connectome. The brain’s genetic organization is diverse and not as one would expect based solely on structure evident in non-genetically informative data or lower-resolution data. As follow-up, we make novel classifications of functional connections and examine highly-localized connections with particularly strong genetic influence. This high-resolution genetic taxonomy of brain connectivity will be useful in understanding genetic influences on brain disorders.


2017 ◽  
Vol 20 (3) ◽  
pp. 226-235 ◽  
Author(s):  
Yoon-Mi Hur ◽  
Jeanette Taylor ◽  
Hoe-Uk Jeong ◽  
Min-Seo Park ◽  
Brett C. Haberstick

Research shows that perceived family cohesion is positively related to prosocial behavior in adolescents. In this study, we investigated heritability of prosocial behavior (PB) and perceived family cohesion (FC) among Nigerian twins attending public schools in Lagos State, Nigeria (mean age = 14.7 years, SD = 1.7 years), and explored the issue of whether children's perception of cohesive family environment moderated genetic and environmental influences on (PB). The PB scale of the Strengths and Difficulties Questionnaire and the FC scale of the Family Adaptability and Cohesion Evaluation Scale III were completed by 2,376 twins (241 monozygotic (MZ) male, 354 MZ female, 440 dizygotic (DZ) male, 553 DZ female, and 788 opposite-sex DZ twins). A general sex-limitation and the bivariate genotype by environment interaction (G×E) models were applied to the data. The general sex-limitation model showed no significant sex differences, indicating that additive genetic and non-shared environmental influences were, 38% (95% CI = 31, 46) and 62% (95% CI = 54, 69) for PB and 33% (95% CI = 24, 40) and 67% (95% CI = 60, 76) for FC in both sexes. These estimates were similar to those found in Western and Asian twin studies to date. The correlation between PB and FC was 0.36. The best-fitting bivariate G×E model indicated that FC significantly moderated non-shared environmental influence unique to PB (E×E interaction). Specifically, non-shared environmental contributions to PB were highest when FC was lowest, and decreased as the levels of FC increased. However, genetic variances in PB were stable across all levels of FC. These findings suggest that FC reduces individual differences in PB by changing non-shared environmental experiences rather than genetic factors in PB.


Collabra ◽  
2016 ◽  
Vol 2 (1) ◽  
Author(s):  
David A. Sbarra

Objective: Low levels of perceived social integration, or loneliness, are associated with increased risk for a range of poor health outcomes. Sleep disturbance plays a central role in the evolutionary theory of loneliness, which provides a mechanistic account of how low levels of social integration may negatively impact health. No studies, however, have examined whether the association between social integration and sleep disturbance is consistent with a causal effect after accounting for genes that are common to both variables. Method: Using twin data (N = 905 twin pairs) from the nationally-representative Midlife in the United States (MIDUS) survey, I evaluated a series of bivariate twin models exploring whether the phenotypic association between low social integration and sleep disturbance can be explained by shared genetics. In addition, the current study specified a series of quantitative models for studying gene x environment (G X E) interactions to determine whether the genetic and environmental influences on sleep disturbance differ as a function of social integration. Results: The phenotypic association between social integration and sleep disturbance was fully accounted for by genes that are common between the two variables, suggesting that within-twin pair differences in social integration do not exert a causal influence on sleep disturbance. Social integration, however, moderated the non-shared environmental influence on sleep disturbances, with the greatest environmental influences observed at the lowest levels of social integration. Conclusions: The results of this study suggest that an essential feature of the evolutionary model of loneliness may need refinement or elaboration. The moderation findings are discussed in terms of the fit with a stress-buffering model of social support in which environmental influences on sleep disturbance are strongest when social resources are low.


2014 ◽  
Vol 17 (6) ◽  
pp. 563-573 ◽  
Author(s):  
Sevgi Yurt Öncel ◽  
Danielle M. Dick ◽  
Hermine H. Maes ◽  
Fazil Alıev

Aim: In this study, we introduce the first twin study in Turkey, focusing on smoking behavior, and laying the foundation to register all twins born in Turkey for research purposes. Using Turkish twins will contribute to our understanding of health problems in the context of cultural differences. Materials and methods: We assessed 309 twin pairs (339 males and 279 females) aged between 15 and 45 years living in the Kırıkkale and Ankara regions of Turkey, and administered a health and lifestyle interview that included questions about smoking status and smoking history. We analyzed the data using descriptive statistics, t-tests, chi-square tests, and bivariate and multivariate clustered logistic regression. In addition, we fit bivariate Structural Equation Models (SEM) to determine contributions of latent genetic and environmental factors to smoking outcomes in this sample. Results: One hundred seventy-eight participants (28.8%) were identified as smokers, smoking every day for a month or longer, of whom 79.2% were males and 20.8% were females. Mean values for number of cigarettes per day and the Fagerstrom Test of Nicotine Dependence (FTND; Fagerstrom, 1978) score were higher in males than in females, and age of onset was earlier in males. There was a significant positive correlation between the FTND score and number of cigarettes smoked per day, and a significant negative correlation between both variables and age at onset of smoking. Our study showed that gender, presence of a smoking twin in the family, age, alcohol use, marital status, daily sports activities, and feeling moody all played a significant role in smoking behavior among twins. The twin analysis suggested that 79.5% of the liability to FTND was influenced by genetic factors and 20.5% by unique environment, while familial resemblance for smoking initiation was best explained by common environmental factors. Conclusions: Marked differences in the prevalence of smoking behavior in men versus women were observed for the Turkish population. Genetic analyses showed that common environmental factors primarily contributed to smoking initiation, while genetic factors explained a greater proportion of variance in liability to nicotine dependence. Our study shows higher heritability estimate of the FTND scores and higher shared environmental influence on smoking initiation for both males and females than reported in previous studies.


2014 ◽  
Vol 5 (2) ◽  
pp. 76 ◽  
Author(s):  
Aurelio José Figueredo ◽  
Tomás Cabeza de Baca ◽  
Candace Black

We present empirical tests of the stability of individual differences over the lifespan using a novel methodological technique to combine behavior-genetic data from twin dyads with longitudinal measures of life history-related traits (including health and personality) from non-twin samples.  Using data from The Midlife in the United States (MIDUS) Longitudinal Survey, we constructed a series of “hybrid” models that permitted the estimation of both temporal stability parameters and behavior-genetic variance components to determine the contributions of genetic and environmental influences on individual differences.  Our results indicate that changes in a higher-order factor of life history strategy (Super-K, composed of the K-Factor, Covitality, and Personality) over the study period were very small in magnitude and that this temporal stability is under a considerable degree of shared genetic influence and a substantial degree of non-shared environmental influence, but a statistically non-significant degree of shared environmental influence.  Implications and future directions are discussed. DOI:10.2458/azu_jmmss_v5i1_figueredo


2014 ◽  
Vol 5 (2) ◽  
pp. 76 ◽  
Author(s):  
Aurelio José Figueredo ◽  
Tomás Cabeza de Baca ◽  
Candace Black

We present empirical tests of the stability of individual differences over the lifespan using a novel methodological technique to combine behavior-genetic data from twin dyads with longitudinal measures of life history-related traits (including health and personality) from non-twin samples.  Using data from The Midlife in the United States (MIDUS) Longitudinal Survey, we constructed a series of “hybrid” models that permitted the estimation of both temporal stability parameters and behavior-genetic variance components to determine the contributions of genetic and environmental influences on individual differences.  Our results indicate that changes in a higher-order factor of life history strategy (Super-K, composed of the K-Factor, Covitality, and Personality) over the study period were very small in magnitude and that this temporal stability is under a considerable degree of shared genetic influence and a substantial degree of non-shared environmental influence, but a statistically non-significant degree of shared environmental influence.  Implications and future directions are discussed. DOI:10.2458/azu_jmmss_v5i1_figueredo


2013 ◽  
Vol 16 (5) ◽  
pp. 923-930 ◽  
Author(s):  
Thomas J. Bouchard

Ronald Wilson presented the first clear and compelling evidence that the heritability of IQ increases with age. We propose to call the phenomenon ‘The Wilson Effect’ and we document the effect diagrammatically with key twin and adoption studies, including twins reared apart, that have been carried out at various ages and in a large number of different settings. The results show that the heritability of IQ reaches an asymptote at about 0.80 at 18–20 years of age and continuing at that level well into adulthood. In the aggregate, the studies also confirm that shared environmental influence decreases across age, approximating about 0.10 at 18–20 years of age and continuing at that level into adulthood. These conclusions apply to the Westernized industrial democracies in which most of the studies have been carried out.


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