Literature DB >> 19469749

Genetics of coffee consumption and its stability.

Venla S Laitala1, Jaakko Kaprio, Karri Silventoinen.   

Abstract

BACKGROUND: Coffee is a highly popular drink associated with the pathogenesis of several diseases and the use of tobacco and alcohol. Considering the worldwide consumption, coffee has a substantial effect on individual wellbeing and public health. The role of genetic factors contributing to interindividual differences and their stability in coffee use is not well known. AIMS: We analysed the heritability of coffee consumption and its stability in a large population-based sample of Finnish twins.
DESIGN: In 1975 and 1981 a postal questionnaire on coffee consumption was sent to all Finnish same-sex twin pairs born before 1958. Responses were obtained from 10 716 complete twin pairs in 1975 (3409 monozygotic and 7307 dizygotic), of whom 8124 also responded in 1981. The data were analysed using classical twin modelling based on linear structural equations.
FINDINGS: Additive genetic and unique environmental factors affected coffee drinking, whereas shared environmental factors did not show any effect. Heritability of coffee consumption, adjusted for age and sex, was estimated as 0.56 in 1975 and 0.45 in 1981. Coffee consumption showed a moderate correlation between these two time-points (r = 0.58 in men and 0.55 in women). Genetic factors affecting coffee consumption were stable: additive genetic correlations were 0.84 in men and 0.83 in women, whereas unique environmental correlations were moderate (0.45 and 0.36). Additive genetic factors had the highest contribution in young adults.
CONCLUSIONS: Coffee consumption is affected by both additive genetic and unique environmental factors, each of which plays an almost equally important role. The long-term stability of coffee consumption is affected mainly by a stable set of additive genetic factors.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 19469749     DOI: 10.1111/j.1360-0443.2008.02375.x

Source DB:  PubMed          Journal:  Addiction        ISSN: 0965-2140            Impact factor:   6.526


  12 in total

Review 1.  Genetics of caffeine consumption and responses to caffeine.

Authors:  Amy Yang; Abraham A Palmer; Harriet de Wit
Journal:  Psychopharmacology (Berl)       Date:  2010-06-09       Impact factor: 4.530

2.  A novel method for identifying nonlinear gene-environment interactions in case-control association studies.

Authors:  Cen Wu; Yuehua Cui
Journal:  Hum Genet       Date:  2013-08-24       Impact factor: 4.132

Review 3.  Blood pressure in relation to coffee and caffeine consumption.

Authors:  Idris Guessous; Chin B Eap; Murielle Bochud
Journal:  Curr Hypertens Rep       Date:  2014-09       Impact factor: 5.369

Review 4.  Current evidence for the use of coffee and caffeine to prevent age-related cognitive decline and Alzheimer's disease.

Authors:  A J Carman; P A Dacks; R F Lane; D W Shineman; H M Fillit
Journal:  J Nutr Health Aging       Date:  2014-04       Impact factor: 4.075

5.  Sequence variants at CYP1A1-CYP1A2 and AHR associate with coffee consumption.

Authors:  Patrick Sulem; Daniel F Gudbjartsson; Frank Geller; Inga Prokopenko; Bjarke Feenstra; Katja K H Aben; Barbara Franke; Martin den Heijer; Peter Kovacs; Michael Stumvoll; Reedik Mägi; Lisa R Yanek; Lewis C Becker; Heather A Boyd; Simon N Stacey; G Bragi Walters; Adalbjorg Jonasdottir; Gudmar Thorleifsson; Hilma Holm; Sigurjon A Gudjonsson; Thorunn Rafnar; Gyda Björnsdottir; Diane M Becker; Mads Melbye; Augustine Kong; Anke Tönjes; Thorgeir Thorgeirsson; Unnur Thorsteinsdottir; Lambertus A Kiemeney; Kari Stefansson
Journal:  Hum Mol Genet       Date:  2011-02-28       Impact factor: 6.150

Review 6.  Twins and the mystery of missing heritability: the contribution of gene-environment interactions.

Authors:  J Kaprio
Journal:  J Intern Med       Date:  2012-10-11       Impact factor: 8.989

7.  Quantile-Specific Heritability may Account for Gene-Environment Interactions Involving Coffee Consumption.

Authors:  Paul T Williams
Journal:  Behav Genet       Date:  2020-01-03       Impact factor: 2.805

8.  Genome-wide association analysis of coffee drinking suggests association with CYP1A1/CYP1A2 and NRCAM.

Authors:  N Amin; E Byrne; J Johnson; G Chenevix-Trench; S Walter; I M Nolte; J M Vink; R Rawal; M Mangino; A Teumer; J C Keers; G Verwoert; S Baumeister; R Biffar; A Petersmann; N Dahmen; A Doering; A Isaacs; L Broer; N R Wray; G W Montgomery; D Levy; B M Psaty; V Gudnason; A Chakravarti; P Sulem; D F Gudbjartsson; L A Kiemeney; U Thorsteinsdottir; K Stefansson; F J A van Rooij; Y S Aulchenko; J J Hottenga; F R Rivadeneira; A Hofman; A G Uitterlinden; C J Hammond; S-Y Shin; A Ikram; J C M Witteman; A C J W Janssens; H Snieder; H Tiemeier; B H R Wolfenbuttel; B A Oostra; A C Heath; E Wichmann; T D Spector; H J Grabe; D I Boomsma; N G Martin; C M van Duijn
Journal:  Mol Psychiatry       Date:  2011-08-30       Impact factor: 15.992

9.  Assessment of moderate coffee consumption and risk of epithelial ovarian cancer: a Mendelian randomization study.

Authors:  Jue-Sheng Ong; Liang-Dar Hwang; Gabriel Cuellar-Partida; Nicholas G Martin; Georgia Chenevix-Trench; Michael C J Quinn; Marilyn C Cornelis; Puya Gharahkhani; Penelope M Webb; Stuart MacGregor
Journal:  Int J Epidemiol       Date:  2018-04-01       Impact factor: 9.685

10.  A powerful statistical method identifies novel loci associated with diastolic blood pressure triggered by nonlinear gene-environment interaction.

Authors:  Honglang Wang; Tao He; Cen Wu; Ping-Shou Zhong; Yuehua Cui
Journal:  BMC Proc       Date:  2014-06-17
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.