DNA methylome-wide association study of genetic risk for depression implicates antigen processing and immune responses

[1] Sullivan PF(2000)Genetic epidemiology of major depression: review and meta-analysis Am J Psychiatry. 157 1552-1562

[2] Neale MC(2012)Genetic architectures of psychiatric disorders: the emerging picture and its implications Nat Rev Genet. 13 537-551

[3] Kendler KS(2019)Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions Nat Neurosci. 22 343-352

[4] Sullivan PF(2018)& Bacanu SA. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression Nat Genet. 50 668-681

[5] Daly MJ(2009)Common polygenic variation contributes to risk of schizophrenia and bipolar disorder Nature 10 748-752

[6] O’Donovan M(2020)Tutorial: a guide to performing polygenic risk score analyses Nat Protoc 15 2759-2772

[7] Howard DM(2020)A methylation study of long-term depression risk Mol Psychiatry. 25 1334-1343

[8] Adams MJ(2019)Parent of origin genetic effects on methylation in humans are common and influence complex trait variation Nat Commun. 10 1-13

[9] Clarke TK(2020)Genomic and phenomic insights from an atlas of genetic effects on DNA methylation Nat Genet. 25 81-54

[10] Hafferty JD(2015)Methylation QTLs in the developing brain and their enrichment in schizophrenia risk loci Nat Neurosci. 19 48-13

[1] Sullivan PF(2000)Genetic epidemiology of major depression: review and meta-analysis Am J Psychiatry. 157 1552-1562

[2] Neale MC(2012)Genetic architectures of psychiatric disorders: the emerging picture and its implications Nat Rev Genet. 13 537-551

[3] Kendler KS(2019)Genome-wide meta-analysis of depression identifies 102 independent variants and highlights the importance of the prefrontal brain regions Nat Neurosci. 22 343-352

[4] Sullivan PF(2018)& Bacanu SA. Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression Nat Genet. 50 668-681

[5] Daly MJ(2009)Common polygenic variation contributes to risk of schizophrenia and bipolar disorder Nature 10 748-752

[6] O’Donovan M(2020)Tutorial: a guide to performing polygenic risk score analyses Nat Protoc 15 2759-2772

[7] Howard DM(2020)A methylation study of long-term depression risk Mol Psychiatry. 25 1334-1343

[8] Adams MJ(2019)Parent of origin genetic effects on methylation in humans are common and influence complex trait variation Nat Commun. 10 1-13

[9] Clarke TK(2020)Genomic and phenomic insights from an atlas of genetic effects on DNA methylation Nat Genet. 25 81-54

[10] Hafferty JD(2015)Methylation QTLs in the developing brain and their enrichment in schizophrenia risk loci Nat Neurosci. 19 48-13