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Patrick Sullivan


About me

Dr. Sullivan is a Professor of Psychiatric Genetics at the Karolinska Institute in the Department of Medical Epidemiology and Biostatistics. He is also the Yeargan Distinguished Professor in the Department of Genetics and Psychiatry at the University of North Carolina at Chapel Hill. His lab investigates the molecular genetics of schizophrenia, major depressive disorder (including post-partum depression), eating disorders, and autism. Dr. Sullivan is a founder and the lead principal investigator of the Psychiatric Genomics Consortium, the largest consortium in the history of psychiatry. He is involved in a wide range of genomic studies of human diseases and has multiple NIH grants. At Karolinska Institutet Dr Sullivan is responsible for the KI Psychiatric Genomics Institute - a systematic program established to evaluate the epidemiological, molecular, and cellular effects of genetic risk loci for psychiatric disorders. Dr. Sullivan has published over 320 papers and 40 reviews/chapters.

Research description

Selected publications


A genome-wide association study of kynurenic acid in cerebrospinal fluid: implications for psychosis and cognitive impairment in bipolar disorder
Sellgren Cm, Kegel Me, Bergen Se, Ekman Cj, Olsson S, Larsson M, et al
Molecular psychiatry 2016;21(10):1342-50

A hidden Markov random field-based Bayesian method for the detection of long-range chromosomal interactions in Hi-C data
Xu Z, Zhang G, Jin F, Chen M, Furey Ts, Sullivan Pf, et al
Bioinformatics (Oxford, England) 2016;32(5):650-6

Analysis of protein-coding genetic variation in 60,706 humans
Lek M, Karczewski Kj, Minikel Ev, Samocha Ke, Banks E, Fennell T, et al
Nature 2016;536(7616):285-91

Comprehensive analysis of schizophrenia-associated loci highlights ion channel pathways and biologically plausible candidate causal genes
Pers Th, Timshel P, Ripke S, Lent S, Sullivan Pf, O'donovan Mc, et al
Human molecular genetics 2016;25(6):1247-54

Deep Sequencing of Three Loci Implicated in Large-Scale Genome-Wide Association Study Smoking Meta-Analyses
Clark Sl, Mcclay Jl, Adkins De, Aberg Ka, Kumar G, Nerella S, et al
Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco 2016;18(5):626-31

Gene expression elucidates functional impact of polygenic risk for schizophrenia
Fromer M, Roussos P, Sieberts Sk, Johnson Js, Kavanagh Dh, Perumal Tm, et al
Nature neuroscience 2016;():-

Gene expression in major depressive disorder
Jansen R, Penninx Bw, Madar V, Xia K, Milaneschi Y, Hottenga Jj, et al
Molecular psychiatry 2016;21(3):444-

Gene expression in major depressive disorder
Jansen R, Penninx Bw, Madar V, Xia K, Milaneschi Y, Hottenga Jj, et al
Molecular psychiatry 2016;21(3):339-47

Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept
Franke B, Stein Jl, Ripke S, Anttila V, Hibar Dp, Van Hulzen Kj, et al
Nature neuroscience 2016;19(3):420-31

Heritability of Perinatal Depression and Genetic Overlap With Nonperinatal Depression
Viktorin A, Meltzer-brody S, Kuja-halkola R, Sullivan Pf, Landén M, Lichtenstein P, et al
The American journal of psychiatry 2016;173(2):158-65

Increased burden of ultra-rare protein-altering variants among 4,877 individuals with schizophrenia
Genovese G, Fromer M, Stahl Ea, Ruderfer Dm, Chambert K, Landén M, et al
Nature neuroscience 2016;():-

Integrative approaches for large-scale transcriptome-wide association studies
Gusev A, Ko A, Shi H, Bhatia G, Chung W, Penninx Bw, et al
Nature genetics 2016;48(3):245-52

Modeling psychiatric disorders: from genomic findings to cellular phenotypes
Falk A, Heine Vm, Harwood Aj, Sullivan Pf, Peitz M, Brüstle O, et al
Molecular psychiatry 2016;21(9):1167-79

One CNV Discordance in NRXN1 Observed Upon Genome-wide Screening in 38 Pairs of Adult Healthy Monozygotic Twins
Magnusson Pk, Lee D, Chen X, Szatkiewicz J, Pramana S, Teo S, et al
Twin research and human genetics : the official journal of the International Society for Twin Studies 2016;19(2):97-103

Polygenic overlap between schizophrenia risk and antipsychotic response: a genomic medicine approach
Ruderfer Dm, Charney Aw, Readhead B, Kidd Ba, Kähler Ak, Kenny Pj, et al
The lancet. Psychiatry 2016;3(4):350-7

Quantifying prion disease penetrance using large population control cohorts
Minikel Ev, Vallabh Sm, Lek M, Estrada K, Samocha Ke, Sathirapongsasuti Jf, et al
Science translational medicine 2016;8(322):322ra9-

Rare loss-of-function variants in SETD1A are associated with schizophrenia and developmental disorders
Singh T, Kurki Mi, Curtis D, Purcell Sm, Crooks L, Mcrae J, et al
Nature neuroscience 2016;19(4):571-7

The Mouse Universal Genotyping Array: From Substrains to Subspecies
Morgan Ap, Fu Cp, Kao Cy, Welsh Ce, Didion Jp, Yadgary L, et al
G3 (Bethesda, Md.) 2016;6(2):263-79

Ultra-rare disruptive and damaging mutations influence educational attainment in the general population
Ganna A, Genovese G, Howrigan Dp, Byrnes A, Kurki Mi, Zekavat Sm, et al
Nature neuroscience 2016;():-

What Next in Schizophrenia Genetics for the Psychiatric Genomics Consortium?
Corvin A, Sullivan Pf
Schizophrenia bulletin 2016;42(3):538-41

Combined Whole Methylome and Genomewide Association Study Implicates CNTN4 in Alcohol Use
Clark Sl, Aberg Ka, Nerella S, Kumar G, Mcclay Jl, Chen W, et al
Alcoholism, clinical and experimental research 2015;39(8):1396-405

Corrigendum: analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance
Crowley Jj, Zhabotynsky V, Sun W, Huang S, Pakatci Ik, Kim Y, et al
Nature genetics 2015;47(6):690-

Expression analysis in a rat psychosis model identifies novel candidate genes validated in a large case-control sample of schizophrenia
Ingason A, Giegling I, Hartmann Am, Genius J, Konte B, Friedl M, et al
Translational psychiatry 2015;5():e656-

Functional characterization of the PCLO p.Ser4814Ala variant associated with major depressive disorder reveals cellular but not behavioral differences
Giniatullina A, Maroteaux G, Geerts Cj, Koopmans B, Loos M, Klaassen R, et al
Neuroscience 2015;300():518-38

Genetics of disease: Associations with depression
Sullivan Pf
Nature 2015;523(7562):539-40

Genome-Wide Meta-Analysis of Longitudinal Alcohol Consumption Across Youth and Early Adulthood
Adkins De, Clark Sl, Copeland We, Kennedy M, Conway K, Angold A, et al
Twin research and human genetics : the official journal of the International Society for Twin Studies 2015;18(4):335-47

High density methylation QTL analysis in human blood via next-generation sequencing of the methylated genomic DNA fraction
Mcclay Jl, Shabalin Aa, Dozmorov Mg, Adkins De, Kumar G, Nerella S, et al
Genome biology 2015;16():291-

Meta-analysis of the heritability of human traits based on fifty years of twin studies
Polderman Tj, Benyamin B, De Leeuw Ca, Sullivan Pf, Van Bochoven A, Visscher Pm, et al
Nature genetics 2015;47(7):702-9

Multiple SNP Set Analysis for Genome-Wide Association Studies Through Bayesian Latent Variable Selection
Lu Zh, Zhu H, Knickmeyer Rc, Sullivan Pf, Williams Sn, Zou F, et al
Genetic epidemiology 2015;39(8):664-77

New data and an old puzzle: the negative association between schizophrenia and rheumatoid arthritis
Lee Sh, Byrne Em, Hultman Cm, Kähler A, Vinkhuyzen Aa, Ripke S, et al
International journal of epidemiology 2015;44(5):1706-21

Schizophrenia: Hope on the Horizon
Sullivan Pf
Cerebrum : the Dana forum on brain science 2015;2015():-

The PsychENCODE project
Psychencode Consortium, Akbarian S, Liu C, Knowles Ja, Vaccarino Fm, Farnham Pj, et al
Nature neuroscience 2015;18(12):1707-12

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