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Genetic correlations of psychiatric traits with body composition and glycemic traits are sex- and age-dependent

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Genetic correlations of psychiatric traits with body composition and glycemic traits are sex- and age-dependent. / ADHD Working Group of the Psychiatric Genomics Consortium.

In: Nature Communications, Vol. 10, No. 1, 5765, 18.12.2019.

Research output: Contribution to journalJournal article

Harvard

ADHD Working Group of the Psychiatric Genomics Consortium 2019, 'Genetic correlations of psychiatric traits with body composition and glycemic traits are sex- and age-dependent', Nature Communications, vol. 10, no. 1, 5765. https://doi.org/10.1038/s41467-019-13544-0

APA

ADHD Working Group of the Psychiatric Genomics Consortium (2019). Genetic correlations of psychiatric traits with body composition and glycemic traits are sex- and age-dependent. Nature Communications, 10(1), [5765]. https://doi.org/10.1038/s41467-019-13544-0

Vancouver

ADHD Working Group of the Psychiatric Genomics Consortium. Genetic correlations of psychiatric traits with body composition and glycemic traits are sex- and age-dependent. Nature Communications. 2019 Dec 18;10(1). 5765. https://doi.org/10.1038/s41467-019-13544-0

Author

ADHD Working Group of the Psychiatric Genomics Consortium. / Genetic correlations of psychiatric traits with body composition and glycemic traits are sex- and age-dependent. In: Nature Communications. 2019 ; Vol. 10, No. 1.

Bibtex

@article{b4ef0c0f06b14ddd8901254a4c53ea7c,
title = "Genetic correlations of psychiatric traits with body composition and glycemic traits are sex- and age-dependent",
abstract = "Body composition is often altered in psychiatric disorders. Using genome-wide common genetic variation data, we calculate sex-specific genetic correlations amongst body fat %, fat mass, fat-free mass, physical activity, glycemic traits and 17 psychiatric traits (up to N = 217,568). Two patterns emerge: (1) anorexia nervosa, schizophrenia, obsessive-compulsive disorder, and education years are negatively genetically correlated with body fat % and fat-free mass, whereas (2) attention-deficit/hyperactivity disorder (ADHD), alcohol dependence, insomnia, and heavy smoking are positively correlated. Anorexia nervosa shows a stronger genetic correlation with body fat % in females, whereas education years is more strongly correlated with fat mass in males. Education years and ADHD show genetic overlap with childhood obesity. Mendelian randomization identifies schizophrenia, anorexia nervosa, and higher education as causal for decreased fat mass, with higher body fat % possibly being a causal risk factor for ADHD and heavy smoking. These results suggest new possibilities for targeted preventive strategies.",
author = "{ADHD Working Group of the Psychiatric Genomics Consortium} and Christopher H{\"u}bel and Gaspar, {H{\'e}l{\'e}na A} and Coleman, {Jonathan R I} and Hanscombe, {Ken B} and Kirstin Purves and Inga Prokopenko and Mariaelisa Graff and Ngwa, {Julius S} and Tsegaselassie Workalemahu and O'Reilly, {Paul F} and Bulik, {Cynthia M} and Gerome Breen and Jo Knight",
year = "2019",
month = dec
day = "18",
doi = "10.1038/s41467-019-13544-0",
language = "English",
volume = "10",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Nature Publishing Group",
number = "1",

}

RIS

TY - JOUR

T1 - Genetic correlations of psychiatric traits with body composition and glycemic traits are sex- and age-dependent

AU - ADHD Working Group of the Psychiatric Genomics Consortium

AU - Hübel, Christopher

AU - Gaspar, Héléna A

AU - Coleman, Jonathan R I

AU - Hanscombe, Ken B

AU - Purves, Kirstin

AU - Prokopenko, Inga

AU - Graff, Mariaelisa

AU - Ngwa, Julius S

AU - Workalemahu, Tsegaselassie

AU - O'Reilly, Paul F

AU - Bulik, Cynthia M

AU - Breen, Gerome

AU - Knight, Jo

PY - 2019/12/18

Y1 - 2019/12/18

N2 - Body composition is often altered in psychiatric disorders. Using genome-wide common genetic variation data, we calculate sex-specific genetic correlations amongst body fat %, fat mass, fat-free mass, physical activity, glycemic traits and 17 psychiatric traits (up to N = 217,568). Two patterns emerge: (1) anorexia nervosa, schizophrenia, obsessive-compulsive disorder, and education years are negatively genetically correlated with body fat % and fat-free mass, whereas (2) attention-deficit/hyperactivity disorder (ADHD), alcohol dependence, insomnia, and heavy smoking are positively correlated. Anorexia nervosa shows a stronger genetic correlation with body fat % in females, whereas education years is more strongly correlated with fat mass in males. Education years and ADHD show genetic overlap with childhood obesity. Mendelian randomization identifies schizophrenia, anorexia nervosa, and higher education as causal for decreased fat mass, with higher body fat % possibly being a causal risk factor for ADHD and heavy smoking. These results suggest new possibilities for targeted preventive strategies.

AB - Body composition is often altered in psychiatric disorders. Using genome-wide common genetic variation data, we calculate sex-specific genetic correlations amongst body fat %, fat mass, fat-free mass, physical activity, glycemic traits and 17 psychiatric traits (up to N = 217,568). Two patterns emerge: (1) anorexia nervosa, schizophrenia, obsessive-compulsive disorder, and education years are negatively genetically correlated with body fat % and fat-free mass, whereas (2) attention-deficit/hyperactivity disorder (ADHD), alcohol dependence, insomnia, and heavy smoking are positively correlated. Anorexia nervosa shows a stronger genetic correlation with body fat % in females, whereas education years is more strongly correlated with fat mass in males. Education years and ADHD show genetic overlap with childhood obesity. Mendelian randomization identifies schizophrenia, anorexia nervosa, and higher education as causal for decreased fat mass, with higher body fat % possibly being a causal risk factor for ADHD and heavy smoking. These results suggest new possibilities for targeted preventive strategies.

U2 - 10.1038/s41467-019-13544-0

DO - 10.1038/s41467-019-13544-0

M3 - Journal article

C2 - 31852892

VL - 10

JO - Nature Communications

JF - Nature Communications

SN - 2041-1723

IS - 1

M1 - 5765

ER -