Epigenetic signatures relating to disease-associated genotypic burden in familial risk of bipolar disorder.
Epigenetic signatures relating to disease-associated genotypic burden in familial risk of bipolar disorder.
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双相情感障碍家族风险中与疾病相关的基因负担相关的表观遗传学特征。
DOI:
10.1038/s41398-022-02079-6
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发表时间:
2022-08-03
影响因子:
6.8
通讯作者:
Fullerton, Janice M.
中科院分区:
文献类型:
--
作者:
Hesam-Shariati, Sonia;Overs, Bronwyn J.;Roberts, Gloria;Toma, Claudio;Watkeys, Oliver J.;Green, Melissa J.;Pierce, Kerrie D.;Edenberg, Howard J.;Wilcox, Holly C.;Stapp, Emma K.;McInnis, Melvin G.;Hulvershorn, Leslie A.;Nurnberger, John I.;Schofield, Peter R.;Mitchell, Philip B.;Fullerton, Janice M.
Environmental factors contribute to risk of bipolar disorder (BD), but how environmental factors impact the development of psychopathology within the context of elevated genetic risk is unknown. We herein sought to identify epigenetic signatures operating in the context of polygenic risk for BD in young people at high familial risk (HR) of BD. Peripheral blood-derived DNA was assayed using Illumina PsychArray, and Methylation-450K or -EPIC BeadChips. Polygenic risk scores (PRS) were calculated using summary statistics from recent genome-wide association studies for BD, major depressive disorder (MDD) and cross-disorder (meta-analysis of eight psychiatric disorders). Unrelated HR participants of European ancestry (n = 103) were stratified based on their BD-PRS score within the HR-population distribution, and the top two quintiles (High-BD-PRS; n = 41) compared against the bottom two quintiles (Low-BD-PRS; n = 41). The High-BD-PRS stratum also had higher mean cross-disorder-PRS and MDD-PRS (ANCOVA p = 0.035 and p = 0.024, respectively). We evaluated DNA methylation differences between High-BD-PRS and Low-BD-PRS strata using linear models. One differentially methylated probe (DMP) (cg00933603; p = 3.54 × 10−7) in VARS2, a mitochondrial aminoacyl-tRNA synthetase, remained significantly hypomethylated after multiple-testing correction. Overall, BD-PRS appeared to broadly impact epigenetic processes, with 1,183 genes mapped to nominal DMPs (p < 0.05); these displayed convergence with genes previously associated with BD, schizophrenia, chronotype, and risk taking. We tested poly-methylomic epigenetic profiles derived from nominal DMPs in two independent samples (n = 54 and n = 82, respectively), and conducted an exploratory evaluation of the effects of family environment, indexing cohesion and flexibility. This study highlights an important interplay between heritable risk and epigenetic factors, which warrant further exploration.
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影响因子:
4.8
作者:
Ching CRK;Hibar DP;Gurholt TP;Nunes A;Thomopoulos SI;Abé C;Agartz I;Brouwer RM;Cannon DM;de Zwarte SMC;Eyler LT;Favre P;Hajek T;Haukvik UK;Houenou J;Landén M;Lett TA;McDonald C;Nabulsi L;Patel Y;Pauling ME;Paus T;Radua J;Soeiro-de-Souza MG;Tronchin G;van Haren NEM;Vieta E;Walter H;Zeng LL;Alda M;Almeida J;Alnaes D;Alonso-Lana S;Altimus C;Bauer M;Baune BT;Bearden CE;Bellani M;Benedetti F;Berk M;Bilderbeck AC;Blumberg HP;Bøen E;Bollettini I;Del Mar Bonnin C;Brambilla P;Canales-Rodríguez EJ;Caseras X;Dandash O;Dannlowski U;Delvecchio G;Díaz-Zuluaga AM;Dima D;Duchesnay É;Elvsåshagen T;Fears SC;Frangou S;Fullerton JM;Glahn DC;Goikolea JM;Green MJ;Grotegerd D;Gruber O;Haarman BCM;Henry C;Howells FM;Ives-Deliperi V;Jansen A;Kircher TTJ;Knöchel C;Kramer B;Lafer B;López-Jaramillo C;Machado-Vieira R;MacIntosh BJ;Melloni EMT;Mitchell PB;Nenadic I;Nery F;Nugent AC;Oertel V;Ophoff RA;Ota M;Overs BJ;Pham DL;Phillips ML;Pineda-Zapata JA;Poletti S;Polosan M;Pomarol-Clotet E;Pouchon A;Quidé Y;Rive MM;Roberts G;Ruhe HG;Salvador R;Sarró S;Satterthwaite TD;Schene AH;Sim K;Soares JC;Stäblein M;Stein DJ;Tamnes CK;Thomaidis GV;Upegui CV;Veltman DJ;Wessa M;Westlye LT;Whalley HC;Wolf DH;Wu MJ;Yatham LN;Zarate CA;Thompson PM;Andreassen OA;ENIGMA Bipolar Disorder Working Group
通讯作者:
ENIGMA Bipolar Disorder Working Group
影响因子:
64.8
作者:
Bycroft C;Freeman C;Petkova D;Band G;Elliott LT;Sharp K;Motyer A;Vukcevic D;Delaneau O;O'Connell J;Cortes A;Welsh S;Young A;Effingham M;McVean G;Leslie S;Allen N;Donnelly P;Marchini J
通讯作者:
Marchini J
影响因子:
4.5
作者:
Gutierrez-Arcelus M;Ongen H;Lappalainen T;Montgomery SB;Buil A;Yurovsky A;Bryois J;Padioleau I;Romano L;Planchon A;Falconnet E;Bielser D;Gagnebin M;Giger T;Borel C;Letourneau A;Makrythanasis P;Guipponi M;Gehrig C;Antonarakis SE;Dermitzakis ET
通讯作者:
Dermitzakis ET
DOI:
10.1093/bioinformatics/btu848
发表时间:
2015-05-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Euesden J;Lewis CM;O'Reilly PF
通讯作者:
O'Reilly PF
影响因子:
3.5
作者:
Cook, James P.;Mahajan, Anubha;Morris, Andrew P.
通讯作者:
Morris, Andrew P.