Literature DB >> 31003110

Heritability estimates of individual psychological distress symptoms from genetic variation.

Soyeon Kim1, Hyeok-Jae Jang2, Woojae Myung3, Kiwon Kim4, Soojin Cha5, Hyewon Lee6, Sung Kweon Cho7, Beomsu Kim5, Tae Hyon Ha8, Jong-Won Kim9, Doh Kwan Kim10, Eli Ayumi Stahl11, Hong-Hee Won12.   

Abstract

BACKGROUND: Psychological distress symptoms are associated with an increased risk of psychiatric disorders and medical illness. Although psychological distress is influenced by environmental factors, such as socioeconomic status, lifetime events, or interpersonal relationships, substantial interindividual variation also exists. However, heritability and genetic determinants of distress are poorly understood.
METHODS: In the Korean Genome and Epidemiology Study sample (n = 12,680), we estimated the heritability of individual psychological distress symptoms using the GCTA-REML method and carried out a genome-wide association study of individual psychological distress symptoms showing significant heritability.
RESULTS: We found three psychological distress items showing significant heritability: subjective well-being (9%), fatigue and appetite (11%), and enjoying daily life (8%). Additionally, we found genome-wide significant associations of rs6735649 located between STEAP3 and C1QL2 on chromosome 2 with subjective well-being (P = 1.32 × 10-8, odds ratio [OR] = 1.18, 95% confidence interval [CI]: 1.12-1.25) and rs35543418 located between SYT16 and KCNH5 on chromosome 14 with enjoying daily life (P = 1.33 × 10-8, OR = 1.59, 95% CI: 1.35-1.86). LIMITATIONS: The lack of replication in independent cohorts and longitudinal assessment of distress may limit generalizability.
CONCLUSIONS: Our results indicate that distress symptoms are partly heritable. Further analysis in larger cohorts investigating gene-environment interactions is required to identify genetic variants that explain the proportion of variation in distress.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biological markers; Genetics; Quality of life; Stress

Mesh:

Substances:

Year:  2019        PMID: 31003110     DOI: 10.1016/j.jad.2019.04.011

Source DB:  PubMed          Journal:  J Affect Disord        ISSN: 0165-0327            Impact factor:   4.839


  6 in total

1.  Shared genetic architectures of subjective well-being in East Asian and European ancestry populations.

Authors:  Soyeon Kim; Kiwon Kim; Mi Yeong Hwang; Hyunwoong Ko; Sang-Hyuk Jung; Injeong Shim; Soojin Cha; Hyewon Lee; Beomsu Kim; Joohyun Yoon; Tae Hyon Ha; Doh Kwan Kim; Jinho Kim; Woong-Yang Park; Aysu Okbay; Bong-Jo Kim; Young Jin Kim; Woojae Myung; Hong-Hee Won
Journal:  Nat Hum Behav       Date:  2022-05-19

2.  A latent profile analysis of the COVID-19 Stressors Scale.

Authors:  Kevin C Hynes; Rachel R Tambling; Beth S Russell; Crystal L Park; Michael Fendrich
Journal:  Psychol Trauma       Date:  2021-08-12

3.  A New Approach of Fatigue Classification Based on Data of Tongue and Pulse With Machine Learning.

Authors:  Yulin Shi; Xinghua Yao; Jiatuo Xu; Xiaojuan Hu; Liping Tu; Fang Lan; Ji Cui; Longtao Cui; Jingbin Huang; Jun Li; Zijuan Bi; Jiacai Li
Journal:  Front Physiol       Date:  2022-02-07       Impact factor: 4.566

4.  Genome-Wide Interaction Study of Late-Onset Asthma With Seven Environmental Factors Using a Structured Linear Mixed Model in Europeans.

Authors:  Eun Ju Baek; Hae Un Jung; Tae-Woong Ha; Dong Jun Kim; Ji Eun Lim; Han Kyul Kim; Ji-One Kang; Bermseok Oh
Journal:  Front Genet       Date:  2022-03-30       Impact factor: 4.599

5.  Association Between Inflammatory Biomarkers and Mental Health Symptoms in Middle Eastern Refugees in the US.

Authors:  Malek Ghandour; Jolin B Yamin; Judith E Arnetz; Mark A Lumley; Paul M Stemmer; Paul Burghardt; Hikmet Jamil; Bengt B Arnetz
Journal:  Cureus       Date:  2022-08-21

6.  Clinical data mining on network of symptom and index and correlation of tongue-pulse data in fatigue population.

Authors:  Yulin Shi; Xiaojuan Hu; Ji Cui; Longtao Cui; Jingbin Huang; Xuxiang Ma; Tao Jiang; Xinghua Yao; Fang Lan; Jun Li; Zijuan Bi; Jiacai Li; Yu Wang; Hongyuan Fu; Jue Wang; Yanting Lin; Jingxuan Bai; Xiaojing Guo; Liping Tu; Jiatuo Xu
Journal:  BMC Med Inform Decis Mak       Date:  2021-02-24       Impact factor: 2.796

  6 in total

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