Central and Peripheral Symptoms in Network Analysis are Differentially Heritable A Twin Study of Anxious Misery
Olatunji BO, Christian C, Strachan E, Levinson CA.
Olatunji BO, Christian C, Strachan E, Levinson CA.
We are happy to share that a manuscript using data from the affectionate communication study has been published. Within twin pairs, identical twins were more highly correlated for expressed and received affection than fraternal twins, suggesting genetic influences play a role in affection. Using an ACE model, which is used in twin studies to estimate the contribution of genetics and the environment to a given phenotype such as affection, the study authors determined that 45% of the variance in expressed affectionate communication is heritable (due to genetics), and 0% is explained by the common environment. This means that shared influences such as being raised by the same parents in the same households had no impact on expressed affection. Only 21% of the variance in received affection was heritable. Given that received affection largely depends on others, it is not surprising to see that heritability is lower for this trait. These findings suggest that greater attention should be given to communicative behaviors by considering genetic and biological influences, and not just environmental influences.
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Sinclair VG, Adams SM, Dietrich M.
Floyd K, York C, Ray CD.
Cox RC, Taylor S, Strachan E, Olatunji BO.
Bunning BJ, Contrepois K, Lee-McMullen B, Dhondalay GKR, Zhang W, Tupa D, Raeber O, Desai M, Nadeau KC, Snyder MP, Andorf S.
Zhu Y, Strachan E, Fowler E, Bacus T, Roy-Byrne P, Zhao J.
Duncan GE, Avery A, Hurvitz PM, Moudon AV, Tsang S, Turkheimer E.
McCall CA, Turkheimer E, Tsang S, Avery A, Duncan GE, Watson NF.
Moudon AV, Huang R, Stewart OT, Cohen-Cline H, Noonan C, Hurvitz PM, Duncan GE.
Sewaybricker LE, Melhorn SJ, Askren MK, Webb MF, Tyagi V, De Leon MRB, Grabowski TJ, Seeley WW, Schur EA.
Avery AR, Duncan GE
Goldfarb DS, Avery AR, Beara-Lasic L, Duncan GE, Goldberg J.
Ramchandani MS, Jing L, Russell RM, Tran T, Laing KJ, Magaret AS, Selke S, Cheng A, Huang ML, Xie H, Strachan E, Greninger AL, Roychoudhury P, Jerome KR, Wald A, Koelle DM.
Aging is complex process, involving both genetic and non-genetic factors. Genetics contribute to the rate of change for bodily functions and risk of disease, but these changes can also be influenced by the environment. The goal of this study was to learn more about the genes that are related to healthy aging, and how the aging process is influenced by environmental factors. By looking at genetic information, physical condition, family history, medical history, and life experiences across participants, researchers may be able to determine how these factors work together to create the overall aging experience.
This study collected data from 2013 to 2014. 275 same-sex twins 65 and older participated, with more of a focus on fraternal twins. The average age of participants in this study was 75, and the oldest participants were 91. All data collection was completed at home. Twins completed a packet of questionnaires, provided a saliva sample, and provided a small sample of blood collected by a finger stick.
This study seeks to understand how the environment influences our health by using a new device (the Portable Particle Monitor, PUWPM) that measures toxins in the environment, which was built and tested during the first phase of this study. These toxins include air pollution, noise, and allergens.
Exposure to particle pollution can result in increased hospital admissions, emergency room visits, absences from school or work, and restricted activity days, especially for those with pre-existing heart or lung disease, older people, and children. The size of particles is directly linked to their potential for causing health problems. Fine particles (PM2.5) pose the greatest health risk. The following is an example of what we are able to observe from collected data. Both maps show a morning walk in the summer. However, the walk on the right took place after major forest fires had broken out in the greater Pacific Northwest area. We can see that the PM2.5 this individual was exposed to was much lower before the fires broke out (map on left). By comparing twins, we can better understand how exposures to toxins in the unique environment may influence health.
Identical twins living apart within the State of Washington will be considered for this study. Eligible pairs will come to the Roosevelt Clinic in the University District of Seattle to receive the study materials. The study coordinator will record vital measurements and conduct a spirometry (lung function) test. At the end of the visit, participants will have their blood drawn. Biological specimens will be used to measure the amount of inflammation in the body, which may be related to environmental exposures. Data is then collected at home for two weeks. Participants will carry a GPS and wear an activity monitor that is similar to a pedometer or a Fitbit, as well as carry the PUWPM from the time they wake up until they go to sleep at night. They will also complete questionnaires. At the end of the two-week period, everything is returned to the study coordinator in a prepaid FedEx box.
This study continues on work conducted from 2012-15 exploring the role of the built environment in supporting healthy lifestyles. The built environment is defined as human-made surroundings, such as buildings, streets, and transportation systems, which support or hinder human activity. Although this topic has gained increasing attention from many researchers over the last several years, the influence of the environment on behaviors and health is not fully understood.
In this follow-up study, twin pairs who participated in the PAT study are contacted to participate in one week of follow-up data collection. All data collection is done entirely at home, and participants do not have to live within the Puget Sound to be eligible. Participants wear a GPS and an activity monitor, and complete questionnaires.
Zadro JR, Shirley D, Duncan GE, Ferreira PH.
Berkseth KE, Rubinow KB, Melhorn SJ, Webb MF, De Leon MRB, Marck BT, Matsumoto AM, Amory JK, Page ST, Schur EA.
Kim S, Wyckoff J, Morris AT, Succop A, Avery A, Duncan GE, Michal Jazwinski S.