Literature DB >> 23186995

IGEMS: the consortium on Interplay of Genes and Environment across Multiple Studies.

Nancy L Pedersen1, Kaare Christensen, Anna K Dahl, Deborah Finkel, Carol E Franz, Margaret Gatz, Briana N Horwitz, Boo Johansson, Wendy Johnson, William S Kremen, Michael J Lyons, Bo Malmberg, Matt McGue, Jenae M Neiderhiser, Inge Petersen, Chandra A Reynolds.   

Abstract

The Interplay of Genes and Environment across Multiple Studies (IGEMS) group is a consortium of eight longitudinal twin studies established to explore the nature of social context effects and gene-environment interplay in late-life functioning. The resulting analysis of the combined data from over 17,500 participants aged 25-102 at baseline (including nearly 2,600 monogygotic and 4,300 dizygotic twin pairs and over 1,700 family members) aims to understand why early life adversity, and social factors such as isolation and loneliness, are associated with diverse outcomes including mortality, physical functioning (health, functional ability), and psychological functioning (well-being, cognition), particularly in later life.

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Year:  2012        PMID: 23186995      PMCID: PMC3699700          DOI: 10.1017/thg.2012.110

Source DB:  PubMed          Journal:  Twin Res Hum Genet        ISSN: 1832-4274            Impact factor:   1.587


  30 in total

1.  A Danish population-based twin study on general health in the elderly.

Authors:  K Christensen; N V Holm; M McGue; L Corder; J W Vaupel
Journal:  J Aging Health       Date:  1999-02

2.  Age- and sex-differences in the validity of questionnaire-based zygosity in twins.

Authors:  Lene Christiansen; Henrik Frederiksen; Karoline Schousboe; Axel Skytthe; Nicole von Wurmb-Schwark; Kaare Christensen; Kirsten Kyvik
Journal:  Twin Res       Date:  2003-08

3.  Genes, environment, and time: the Vietnam Era Twin Study of Aging (VETSA).

Authors:  William S Kremen; Heather Thompson-Brenner; Yat-Ming J Leung; Michael D Grant; Carol E Franz; Seth A Eisen; Kristen C Jacobson; Corwin Boake; Michael J Lyons
Journal:  Twin Res Hum Genet       Date:  2006-12       Impact factor: 1.587

4.  Longitudinal genetic analysis for loneliness in Dutch twins.

Authors:  Dorret I Boomsma; John T Cacioppo; Bengt Muthén; Tihomir Asparouhov; Shaunna Clark
Journal:  Twin Res Hum Genet       Date:  2007-04       Impact factor: 1.587

5.  Loneliness as a specific risk factor for depressive symptoms: cross-sectional and longitudinal analyses.

Authors:  John T Cacioppo; Mary Elizabeth Hughes; Linda J Waite; Louise C Hawkley; Ronald A Thisted
Journal:  Psychol Aging       Date:  2006-03

6.  Can We Improve Our Physical Health by Altering Our Social Networks?

Authors:  Sheldon Cohen; Denise Janicki-Deverts
Journal:  Perspect Psychol Sci       Date:  2009-07

7.  Gender differences in heritability of depressive symptoms in the elderly.

Authors:  M Jansson; M Gatz; S Berg; B Johansson; B Malmberg; G E McClearn; M Schalling; N L Pedersen
Journal:  Psychol Med       Date:  2004-04       Impact factor: 7.723

8.  Importance of shared genes and shared environments for symptoms of depression in older adults.

Authors:  M Gatz; N L Pedersen; R Plomin; J R Nesselroade; G E McClearn
Journal:  J Abnorm Psychol       Date:  1992-11

9.  Integrative data analysis: the simultaneous analysis of multiple data sets.

Authors:  Patrick J Curran; Andrea M Hussong
Journal:  Psychol Methods       Date:  2009-06

10.  Translating measures across the continuum of care: using Rasch analysis to create a crosswalk between the Functional Independence Measure and the Minimum Data Set.

Authors:  Craig A Velozo; Katherine L Byers; Ying-Chih Wang; Bryttnee Roberts Joseph
Journal:  J Rehabil Res Dev       Date:  2007
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  13 in total

1.  Longitudinal Twin Study of Subjective Health: Differences in Genetic and Environmental Components of Variance Across Age and Sex.

Authors:  Deborah Finkel; Carol E Franz; Kaare Christensen; Chandra A Reynolds; Nancy L Pedersen
Journal:  J Gerontol B Psychol Sci Soc Sci       Date:  2020-01-01       Impact factor: 4.077

Review 2.  Biometric Modeling of Gene-Environment Interplay: The Intersection of Theory and Method and Applications for Social Inequality.

Authors:  Susan C South; Nayla R Hamdi; Robert F Krueger
Journal:  J Pers       Date:  2015-11-21

Review 3.  A meta-analysis of heritability of cognitive aging: minding the "missing heritability" gap.

Authors:  Chandra A Reynolds; Deborah Finkel
Journal:  Neuropsychol Rev       Date:  2015-03-03       Impact factor: 7.444

4.  Gene-environment interplay in depressive symptoms: moderation by age, sex, and physical illness.

Authors:  A J Petkus; C R Beam; W Johnson; J Kaprio; T Korhonen; M McGue; J M Neiderhiser; N L Pedersen; C A Reynolds; M Gatz
Journal:  Psychol Med       Date:  2017-02-16       Impact factor: 7.723

5.  Data Harmonization in Aging Research: Not so Fast.

Authors:  Margaret Gatz; Chandra A Reynolds; Deborah Finkel; Chris J Hahn; Yan Zhou; Catalina Zavala
Journal:  Exp Aging Res       Date:  2015       Impact factor: 1.645

6.  Gene-Environment Interplay in Physical, Psychological, and Cognitive Domains in Mid to Late Adulthood: Is APOE a Variability Gene?

Authors:  Chandra A Reynolds; Margaret Gatz; Kaare Christensen; Lene Christiansen; Anna K Dahl Aslan; Jaakko Kaprio; Tellervo Korhonen; William S Kremen; Robert Krueger; Matt McGue; Jenae M Neiderhiser; Nancy L Pedersen
Journal:  Behav Genet       Date:  2015-11-04       Impact factor: 2.805

7.  Facets of Subjective Health From Early Adulthood to Old Age.

Authors:  Carol E Franz; Deborah Finkel; Matthew S Panizzon; Kelly Spoon; Kaare Christensen; Margaret Gatz; William S Kremen; Robert Krueger; Jenae Neiderhiser; Chandra Reynolds; Nancy L Pedersen
Journal:  J Aging Health       Date:  2016-07-08

8.  Gender Differences in Marital Status Moderation of Genetic and Environmental Influences on Subjective Health.

Authors:  Deborah Finkel; Carol E Franz; Briana Horwitz; Kaare Christensen; Margaret Gatz; Wendy Johnson; Jaako Kaprio; Tellervo Korhonen; Jenae Niederheiser; Inge Petersen; Richard J Rose; Karri Silventoinen
Journal:  Behav Genet       Date:  2015-10-14       Impact factor: 2.805

9.  Genetic analyses benefit from using less heterogeneous phenotypes: an illustration with the hospital anxiety and depression scale (HADS).

Authors:  Charles A Laurin; Jouke-Jan Hottenga; Gonneke Willemsen; Dorret I Boomsma; Gitta H Lubke
Journal:  Genet Epidemiol       Date:  2015-04-01       Impact factor: 2.135

10.  G×E Interaction Influences Trajectories of Hand Grip Strength.

Authors:  Inge Petersen; Nancy L Pedersen; Taina Rantanen; William S Kremen; Wendy Johnson; Matthew S Panizzon; Lene Christiansen; Carol E Franz; Matt McGue; Kaare Christensen; Nayla R Hamdi; Robert F Krueger; Chandra Reynolds
Journal:  Behav Genet       Date:  2015-08-29       Impact factor: 2.805

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