RICOPILI: Rapid Imputation for COnsortias PIpeLIne

PLINK: a tool set for whole-genome association and population-based linkage analyses.

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A global reference for human genetic variation

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Principal components analysis corrects for stratification in genome-wide association studies

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The UK Biobank resource with deep phenotyping and genomic data

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GCTA: a tool for genome-wide complex trait analysis

Yang, J., Lee, S. H., Goddard, M. E., & Visscher, P. M. (2011) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2010.11.011 · Cited by 8,279

Biological insights from 108 schizophrenia-associated genetic loci

Schizophrenia Working Group of the Psychiatric Genomics Consortium (2014) · Nature · doi:10.1038/nature13595 · Cited by 7,577

LD Score regression distinguishes confounding from polygenicity in genome-wide association studies

Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bulik-Sullivan, B. K., Loh, P.-R., Finucane, H. K., Ripke, S., Yang, J., Patterson, N., Daly, M. J., Price, A. L., & Neale, B. M. (2015) · Nature Genetics · doi:10.1038/ng.3211 · Cited by 5,559

METAL: fast and efficient meta-analysis of genomewide association scans

Willer, C. J., Li, Y., & Abecasis, G. R. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq340 · Cited by 5,205

A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies

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Next-generation genotype imputation service and methods

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A regulatory variant at 19p13.3 is associated with primary biliary cholangitis risk and ARID3A expression

Li, Y., Li, Z., Chen, R., Lian, M., Wang, H., Wei, Y., You, Z., Zhang, J., Li, B., Li, Y., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-37213-5 · Cited by 18

Key subphenotypes of bipolar disorder are differentially associated with polygenic liabilities for bipolar disorder, schizophrenia, and major depressive disorder

Song, J., Jönsson, L., Lu, Y., Bergen, S. E., Karlsson, R., Smedler, E., Gordon‐Smith, K., Jones, I. R., Jones, L. A., Craddock, N. J., et al. (2024) · Molecular Psychiatry · doi:10.1038/s41380-024-02448-1 · Cited by 19

Blended Genome Exome (BGE) as a Cost Efficient Alternative to Deep Whole Genomes or ArraysPreprint

DeFelice, M. T., Grimsby, J., Howrigan, D. P., Yuan, K., Chapman, S. B., Stevens, C. R., DeLuca, S., Townsend, M., Buxbaum, J. D., Pericak‐Vance, M. A., et al. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.03.587209 · Cited by 18

Rare genetic variants confer a high risk of ADHD and implicate neuronal biology

Demontis, D., Duan, J., Hsu, Y.-H. H., Pintacuda, G., Grove, J., Nielsen, T. T., Thirstrup, J., Martorana, M., Botts, T., Satterstrom, F. K., et al. (2026) · Nature · doi:10.1038/s41586-025-09702-8 · Cited by 17

Functional co-activation of the default mode network in APOE ε4-carriers: A replication study

Mentink, L. J., Guimaraes, J., Faber, M., Sprooten, E., Rikkert, M. G. M. O., Haak, K. V., & Beckmann, C. F. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118304 · Cited by 16

The shared genetic landscape of blood cell traits and risk of neurological and psychiatric disorders

Yang, Y., Zhou, Y., Nyholt, D. R., Yap, C. X., Tannenberg, R. K., Wang, Y., Wu, Y., Zhu, Z., Taylor, B. V., & Gratten, J. (2023) · Cell Genomics · doi:10.1016/j.xgen.2022.100249 · Cited by 16

Genome-Wide Association Study Meta-Analysis of 9619 Cases With Tic Disorders

Strom, N. I., Halvorsen, M., Grove, J., Ásbjörnsdóttir, B., Lúðvígsson, P., Thorarensen, Ó., de Schipper, E. J., Bäckman, J., Andrén, P., Tian, C., et al. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2024.07.025 · Cited by 16

Genome-wide meta-analysis of myasthenia gravis uncovers new loci and provides insights into polygenic prediction

Braun, A., Shekhar, S., Levey, D. F., Straub, P., Kraft, J., Panagiotaropoulou, G., Heilbron, K., Awasthi, S., Hanna, R. M., Hoffmann, S., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-53595-6 · Cited by 17

Mapping relationships between ADHD genetic liability, stressful life events, and ADHD symptoms in healthy adults

Li, T., Franke, B., Vásquez, A. A., & Mota, N. R. (2020) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32828 · Cited by 23

A polygenic risk score analysis of ASD and ADHD across emotion recognition subtypes

Waddington, F., Franke, B., Hartman, C. A., Buitelaar, J. K., Rommelse, N. N. J., & Mota, N. R. (2020) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32818 · Cited by 14

Genome-wide association meta-analysis of age at onset of walking in over 70,000 infants of European ancestry

Gui, A., Hollowell, A., Wigdor, E. M., MORGAN, M., Hannigan, L. J., Corfield, E. C., Odintsova, V. V., Hottenga, J., Wong, A., Pool, R., et al. (2025) · Nature Human Behaviour · doi:10.1038/s41562-025-02145-1 · Cited by 20

Genome-wide by Environment Interaction Study of Stressful Life Events and Hospital-Treated Depression in the iPSYCH2012 Sample

Suppli, N. P., Andersen, K. K., Agerbo, E., Rajagopal, V. M., Appadurai, V., Coleman, J. R. I., Breen, G. D., Bybjerg‐Grauholm, J., Bækvad‐Hansen, M., Pedersen, C. B., et al. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.11.003 · Cited by 15

Multi-ancestry phenome-wide association of complement component 4 variation with psychiatric and brain phenotypes in youth

Hernandez, L. M., Kim, M., Zhang, P., Bethlehem, R. A. I., Hoftman, G. D., Loughnan, R. J., Smith, D. M. Y., Bookheimer, S. Y., Fan, C. C., Bearden, C. E., et al. (2023) · Genome biology · doi:10.1186/s13059-023-02878-0 · Cited by 14

Polygenic risk scores and brain structures both contribute to externalizing behavior in childhood - A study in the Adolescent Brain and Cognitive Development (ABCD) cohort

Teeuw, J., Mota, N. R., Klein, M., Blankenstein, N. E., Tielbeek, J. J., Jansen, L. M. C., Franke, B., & Pol, H. E. H. (2023) · Neuroscience Applied · doi:10.1016/j.nsa.2023.101128 · Cited by 16

Genetic liability to major depression and risk of childhood asthma

Liu, X., Munk‐Olsen, T., Albiñana, C., Vilhjálmsson, B. J., Pedersen, E. M., Schlünssen, V., Bækvad‐Hansen, M., Bybjerg‐Grauholm, J., Nordentoft, M., Børglum, A. D., et al. (2020) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2020.07.030 · Cited by 16

Genome-wide association studies of binge-eating behaviour and anorexia nervosa yield insights into the unique and shared biology of eating disorder phenotypesPreprint

Termorshuizen, J. D., Davies, H. L., Lee, S. H., Dennis, J. K., Hübel, C., Johnson, J., Lu, Y., Munn‐Chernoff, M. A., Peters, T., Qi, B., et al. (2025) · medRxiv · doi:10.1101/2025.01.31.25321397 · Cited by 15

Polygenic Risk Scores and Twin Concordance for Schizophrenia and Bipolar Disorder

Song, J., Pasman, J. A., Johansson, V., Kuja‐Halkola, R., Harder, A., Karlsson, R., Lü, Y., Kowalec, K., Pedersen, N. L., Cannon, T. D., et al. (2024) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2024.2406 · Cited by 15

Characterizing sustained social anxiety in individuals at clinical high risk for psychosis: trajectory, risk factors, and functional outcomes

Deng, W., Addington, J., Bearden, C. E., Cadenhead, K. S., Cornblatt, B. A., Mathalon, D. H., Perkins, D. O., Seidman, L. J., Tsuang, M. T., Woods, S. W., et al. (2022) · Psychological Medicine · doi:10.1017/s0033291722000277 · Cited by 14

Meta-analysis of genome-wide association studies of hoarding symptoms in 27,651 individuals

Strom, N. I., Smit, D. J. A., Silzer, T. K., Iyegbe, C. O., Burton, C. L., Pool, R., Lemire, M., Crowley, J. J., Hottenga, J., Ivanov, V. Z., et al. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-02248-7 · Cited by 15

Interactions of genetic risks for autism and the broad autism phenotypes

Dong, L., Wang, Y., Wang, X., Luo, T., Zhou, Q., Zhao, G., Li, B., Xia, L., Xia, K., & Li, J. (2023) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2023.1110080 · Cited by 13

Polygenic risk scores of lithium response and treatment resistance in major depressive disorder

Xiong, Y., Karlsson, R., Song, J., Kowalec, K., Rück, C., Sigström, R., Jönsson, L., Clements, C. C., Andersson, E., Boberg, J., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02602-3 · Cited by 14

ARFID Genes and Environment (ARFID-GEN): study protocol

Bulik, C. M., Micali, N., MacDermod, C. M., Qi, B., Munn‐Chernoff, M. A., Thornton, L. M., White, J. P., Dinkler, L., Pisetsky, E. M., Johnson, J., et al. (2023) · BMC Psychiatry · doi:10.1186/s12888-023-05266-x · Cited by 19

Detecting and Adjusting for Hidden Biases due to Phenotype Misclassification in Genome-Wide Association StudiesPreprint

Burstein, D., Hoffman, G. E., Gupta, S., Almeida, S. D., Mathur, D. D., Venkatesh, S., Therrien, K., Fanous, A. H., Bigdeli, T. B., Harvey, P. D., et al. (2023) · medRxiv · doi:10.1101/2023.01.17.23284670 · Cited by 17

Multi‐polygenic scores in psychiatry: From disorder specific to transdiagnostic perspectives

Shi, Y., Sprooten, E., Mulders, P. C. R., Vrijsen, J. N., Bralten, J., Demontis, D., Børglum, A. D., Walters, G. B., Stefánsson, K., van Eijndhoven, P., et al. (2023) · American Journal of Medical Genetics Part B Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32951 · Cited by 13

Genetic risk of clozapine-induced leukopenia and neutropenia: a genome-wide association study

Chen, J., Yang, P., Zhang, Q., Chen, R., Wang, P., Liu, B., Sun, W., Jian, X., Xiang, S., Zhou, J., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01470-z · Cited by 13

Evidence From Imaging Resilience Genetics for a Protective Mechanism Against Schizophrenia in the Ventral Visual Pathway

Hettwer, M. D., Lancaster, T. M., Raspor, E., Hahn, P., Mota, N. R., Singer, W., Reif, A., Linden, D. E. J., & Bittner, R. A. (2021) · Schizophrenia Bulletin · doi:10.1093/schbul/sbab151 · Cited by 14

How alcohol makes the epigenetic clock tick faster and the clock reversing effect of abstinence

Zindler, T., Frieling, H., Fliedner, L., Veer, I. M., Neyazi, A., Awasthi, S., Ripke, S., Walter, H., & Friedel, E. (2022) · Addiction Biology · doi:10.1111/adb.13198 · Cited by 14

Transforming evidence synthesis: A systematic review of the evolution of automated meta-analysis in the age of AI

Li, L., Mathrani, A., & Sušnjak, T. (2025) · Research Synthesis Methods · doi:10.1017/rsm.2025.10065 · Cited by 18

Genome-Wide Analyses of Nephrotoxicity in Platinum-Treated Cancer Patients Identify Association with Genetic Variant in RBMS3 and Acute Kidney Injury

Klumpers, M. J., Witte, W. D., Gattuso, G., Schiavello, E., Terenziani, M., Massimino, M., Gidding, C. E. M., Vermeulen, S. H. H. M., Driessen, C. M. L., van Herpen, C. M., et al. (2022) · Journal of Personalized Medicine · doi:10.3390/jpm12060892 · Cited by 12

The correlates of neonatal complement component 3 and 4 protein concentrations with a focus on psychiatric and autoimmune disorders

Borbye‐Lorenzen, N., Zhu, Z., Agerbo, E., Albiñana, C., Benros, M. E., Bian, B., Børglum, A. D., Bulik, C. M., Debost, J.-C., Grove, J., et al. (2023) · Cell Genomics · doi:10.1016/j.xgen.2023.100457 · Cited by 12

Association of Occupational Dysfunction and Hospital Admissions With Different Polygenic Profiles in Bipolar Disorder

Jönsson, L., Hörbeck, E., Primerano, A., Song, J., Karlsson, R., Smedler, E., Gordon‐Smith, K., Jones, L. A., Craddock, N. J., Jones, I. R., et al. (2024) · American Journal of Psychiatry · doi:10.1176/appi.ajp.20230073 · Cited by 12

Postpartum and non-postpartum depression: a population-based matched case-control study comparing polygenic risk scores for severe mental disorders

Munk‐Olsen, T., Florio, A. D., Madsen, K. B., Albiñana, C., Mægbæk, M. L., Bergink, V., Frøkjær, V. G., Agerbo, E., Vilhjálmsson, B. J., Werge, T. M., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02649-2 · Cited by 13

Cell-type deconvolution of bulk-blood RNA-seq reveals biological insights into neuropsychiatric disorders

Boltz, T. A., Schwarz, T., Bot, M. H. M., Hou, K., Caggiano, C., Lapinska, S., Duan, C., Boks, M. P., Kahn, R. S., Zaitlen, N., et al. (2024) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2023.12.018 · Cited by 13

A genome-wide association study identified PRKCB as a causal gene and therapeutic target for Mycobacterium avium complex disease

Zheng, R., Li, Z., Fang, W., Lou, H., Liu, F., Sun, Q., Shi, X., Liu, H., Chen, Q., Shen, X., et al. (2025) · Cell Reports Medicine · doi:10.1016/j.xcrm.2024.101923 · Cited by 14

Powerful eQTL mapping through low-coverage RNA sequencing

Schwarz, T., Boltz, T. A., Hou, K., Bot, M. H. M., Duan, C., Loohuis, L. M. O., Boks, M. P., Kahn, R. S., Ophoff, R. A., & Paşaniuc, B. (2022) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2022.100103 · Cited by 13

Discovery of 95 PTSD loci provides insight into genetic architecture and neurobiology of trauma and stress-related disordersPreprint

Nievergelt, C. M., Maihofer, A. X., Atkinson, E. G., Chen, C., Choi, K. W., Coleman, J. R. I., Daskalakis, N. P., Duncan, L. E., Polimanti, R. A., Aaronson, C. J., et al. (2023) · medRxiv · doi:10.1101/2023.08.31.23294915 · Cited by 11

Transcriptomic and genetic analysis suggests a role for mitochondrial dysregulation in schizophreniaPreprint

Bast, L., Yao, S., Martínez‐López, J. A., Memic, F., French, H., Valiukonyte, M., Karlsson, R., Wen, J., Song, J., Zhang, R., et al. (2025) · medRxiv · doi:10.1101/2025.03.14.25323827 · Cited by 12

Genome-wide analyses of platinum-induced ototoxicity in childhood cancer patients: Results of GO-CAT and United Kingdom MAGIC consortia

Hurkmans, E. G. E., Klumpers, M. J., Russo, C. D., Witte, W. D., Guchelaar, H., Gelderblom, H. A. J., Cleton-Jansen, A., Vermeulen, S. H. H. M., Kaal, S. E. J., van der Graaf, W. T. A., et al. (2023) · Frontiers in Pharmacology · doi:10.3389/fphar.2022.980309 · Cited by 10

Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia

Hsu, Y.-H. H., Pintacuda, G., Liu, R., Nacu, E., Kim, A., Tsafou, K., Petrossian, N., Crotty, W. J., Suh, J. M., Riseman, J., et al. (2023) · iScience · doi:10.1016/j.isci.2023.106701 · Cited by 11

Multi-PGS enhances polygenic prediction: weighting 937 polygenic scoresPreprint

Albiñana, C., Zhu, Z., Schork, A. J., Ingason, A., Aschard, H., Brikell, I., Bulik, C. M., Pedersen, L. V., Agerbo, E., Grove, J., et al. (2022) · medRxiv · doi:10.1101/2022.09.14.22279940 · Cited by 10

Tutorial: guidelines for quality filtering of whole-exome and whole-genome sequencing data for population-scale association analyses

Sealock, J., Ivankovic, F., Liao, C., Chen, S., Churchhouse, C. L., Karczewski, K. J., Howrigan, D. P., & Neale, B. M. (2025) · Nature Protocols · doi:10.1038/s41596-025-01169-1 · Cited by 8

Study protocol of the Berlin Research Initiative for Diagnostics, Genetics and Environmental Factors in Schizophrenia (BRIDGE-S)

Braun, A., Kraft, J., & Ripke, S. (2023) · BMC Psychiatry · doi:10.1186/s12888-022-04447-4 · Cited by 10

Polygenic Risk for Schizophrenia, Major Depression, and Post-traumatic Stress Disorder and Hippocampal Subregion Volumes in Middle Childhood

Pine, J. G., Paul, S. E., Johnson, E. C., Bogdan, R., Kandala, S., & Barch, D. M. (2023) · Behavior Genetics · doi:10.1007/s10519-023-10134-1 · Cited by 9

COSGAP: COntainerized Statistical Genetics Analysis Pipelines

Akdeniz, B. C., Frei, O., Hagen, E., Filiz, T. T., Karthikeyan, S., Pasman, J. A., Jangmo, A., Bergstedt, J., Shorter, J. R., Zetterberg, R., et al. (2024) · Bioinformatics Advances · doi:10.1093/bioadv/vbae067 · Cited by 9

Potential Genetic Overlap Between Insomnia and Sleep Symptoms in Major Depressive Disorder: A Polygenic Risk Score Analysis

Beaupre, L. M., Tiwari, A. K., Gonçalves, V. F., Zai, C. C. H., Marshe, V. S., Lewis, C. M., Martin, N. G., McIntosh, A. M., Adams, M. J., Baune, B. T., et al. (2021) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2021.734077 · Cited by 9

Associations between cognition and polygenic liability to substance involvement in middle childhood: Results from the ABCD study

Paul, S. E., Hatoum, A. S., Barch, D. M., Thompson, W. K., Arpana Agrawal, A., Bogdan, R., & Johnson, E. C. (2022) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2022.109277 · Cited by 10

Polygenic and developmental profiles of autism differ by age at diagnosisPreprint

Zhang, X., Grove, J., Gu, Y., Buus, C. K., Nielsen, L. K., Neufeld, S., Koko, M., Malawsky, D. S., Wade, E. M., Verhoef, E., et al. (2024) · medRxiv · doi:10.1101/2024.07.31.24311279 · Cited by 9

Comprehensive whole-genome analyses of the UK Biobank reveal significant sex differences in both genotype missingness and allele frequency on the X chromosome

Chen, D., Roshandel, D., Wang, Z., Sun, L., & Paterson, A. D. (2023) · Human Molecular Genetics · doi:10.1093/hmg/ddad201 · Cited by 8

The researcher's guide to selecting biomarkers in mental health studies

Verhoeven, J. E., Wolkowitz, O. M., Satz, I. B., Conklin, Q. A., Lamers, F., Lavebratt, C., Lin, J., Lindqvist, D., Mayer, S. E., Melas, P. A., et al. (2024) · BioEssays · doi:10.1002/bies.202300246 · Cited by 10

Human brain prefrontal cortex proteomics identifies compromised energy metabolism and neuronal function in Schizophrenia

Koopmans, F., Dijkstra, A. A., Li, W.-P., Klaassen, R. V., Gouwenberg, Y., Yao, S., Bast, L., Verhage, M., Karlsson, R., Dwork, A. J., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-68950-y · Cited by 11

Polygenic risk scores for antisocial behavior in relation to amygdala morphology across an attention deficit hyperactivity disorder case-control sample with and without disruptive behavior

Deters, R. K., Ruisch, I. H., Faraone, S. V., Hartman, C. A., Luman, M., Franke, B., Oosterlaan, J., Buitelaar, J. K., Naaijen, J., Dietrich, A., et al. (2022) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2022.07.182 · Cited by 8

Transcriptome-wide association study of HIV-1 acquisition identifies HERC1 as a susceptibility gene

Duarte, R. R. R., Pain, O., O’Brien, R. L. F., Nixon, D. F., & Powell, T. R. (2022) · iScience · doi:10.1016/j.isci.2022.104854 · Cited by 8

Oxytocin vs. placebo effects on intrusive memory consolidation using a trauma film paradigm: a randomized, controlled experimental study in healthy women

Maslahati, T., Wingenfeld, K., Hellmann‐Regen, J., Kraft, J., Lyu, J., Keinert, M., Voß, A. L., Cho, A. B., Ripke, S., Otte, C., et al. (2023) · Translational Psychiatry · doi:10.1038/s41398-023-02339-z · Cited by 10

Polygenetic risk scores and phenotypic constellations of obsessive–compulsive disorder in clozapine-treated schizophrenia

Morgenroth, C. L., Kleymann, P., Ripke, S., Awasthi, S., Wagner, E. M., Oviedo-Salcedo, T., Okhuijsen‐Pfeifer, C., Luykx, J. J., van der Horst, M. Z., Hasan, A., et al. (2023) · European Archives of Psychiatry and Clinical Neuroscience · doi:10.1007/s00406-023-01593-y · Cited by 8

Genome-wide Association Study of Susceptibility to Respiratory Syncytial Virus Hospitalization in Young Children <5 Years of age

Egeskov-Cavling, A. M., van Wijhe, M., Yakimov, V., Johannesen, C. K., Pollard, A. J., Trebbien, R., Bybjerg‐Grauholm, J., Fischer, T. K., Nair, H., Campbell, H. J., et al. (2023) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiad370 · Cited by 7

Genetic and brain similarity independently predict childhood anthropometrics and neighborhood socioeconomic conditions

Dahl, A., Eilertsen, E. M., Fernández‐Cabello, S., Norbom, L. B., Tandberg, A. D., Leonardsen, E. H., Lee, S., Ystrøm, E., Tamnes, C. K., Alnæs, D., et al. (2024) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2023.101339 · Cited by 10

Identification of risk variants and characterization of the polygenic architecture of disruptive behavior disorders in the context of ADHDPreprint

Demontis, D., Walters, R., Rajagopal, V., Waldman, I., Grove, J., Als, T., Dalsgaard, S., Ribasés, M., Grauholm, J., Bækvad-Hansen, M., et al. (2019) · bioRxiv · doi:10.1101/791160 · Cited by 6

Multi-ancestry meta-analysis of tobacco use disorder prioritizes novel candidate risk genes and reveals associations with numerous health outcomesPreprint

Toikumo, S., Jennings, M. V., Pham, B. K., Lee, H., Mallard, T. T., Bianchi, S. B., Meredith, J. J., Vilar‐Ribó, L., Xu, H., Hatoum, A. S., et al. (2023) · medRxiv · doi:10.1101/2023.03.27.23287713 · Cited by 8

Associations between polygenic scores for cognitive and non-cognitive factors of educational attainment and measures of behavior, psychopathology, and neuroimaging in the adolescent brain cognitive development study

Gorelik, A. J., Paul, S. E., Miller, A. P., Baranger, D. A. A., Lin, S., Zhang, W., Elsayed, N. M., Modi, H., Addala, P., Bijsterbosch, J. D., et al. (2024) · Psychological Medicine · doi:10.1017/s0033291724002174 · Cited by 9

Mapping the Cerebrospinal Fluid Proteome in Bipolar Disorder

Göteson, A., Holmén‐Larsson, J., Celik, H., Pelanis, A., Sellgren, C. M., Sparding, T., Pålsson, E., Zetterberg, H., Blennow, K., Jönsson, L., et al. (2025) · Biological Psychiatry · doi:10.1016/j.biopsych.2025.01.007 · Cited by 9

Association of childhood maltreatment and adverse lifetime experiences with post-injury psychopathology: evidence from the China Severe Trauma Cohort

Wen, S., Zeng, Y., Xu, Y., Xu, S., Chen, W., Wang, G., Zhang, W., & Song, H. (2025) · BMC Medicine · doi:10.1186/s12916-025-03861-1 · Cited by 7

Copy Number Variant Architecture of Child Psychopathology and Cognitive Development in the ABCD Study

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Impact of genetic, sociodemographic, and clinical features on antidepressant treatment trajectories in the perinatal period

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Osteoporosis and Primary Biliary Cholangitis: A Trans-ethnic Mendelian Randomization Analysis

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Adolescent Verbal Memory as a Psychosis Endophenotype: A Genome-Wide Association Study in an Ancestrally Diverse Sample

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Neuropsychiatric Genetics of Psychosis in the Mexican Population: A Genome-Wide Association Study Protocol for Schizophrenia, Schizoaffective, and Bipolar Disorder Patients and Controls

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A phenome-wide association study of cross-disorder genetic liability in youth genetically similar to individuals from European reference populations

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Predicted plasma proteomics from genetic scores and treatment outcomes in major depression: a meta-analysis

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Polygenic Contributions to Lithium Augmentation Outcomes in Unipolar Depression

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Dissecting the impact of complement component 4A in bipolar disorder

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Using polygenic scores in combination with symptom rating scales to identify attention-deficit/hyperactivity disorder

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Identifying genetic differences between bipolar disorder and major depression through multiple genome-wide association analyses

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The role of glucocorticoid receptor gene in the association between attention deficit-hyperactivity disorder and smaller brain structures

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Pain predict genetics: protocol for a prospective observational study of clinical and genetic factors to predict the development of postoperative pain

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Polygenic risk for Alzheimer's disease is associated with neuroaxonal damage before onset of clinical symptoms

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Integrative Genomic Enrichment Analysis Identified the Brain Regions and Development Stages Related to Anorexia Nervosa and Obsessive-Compulsive Disorder

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Genetic correlates of vitamin D-binding protein and 25 hydroxyvitamin D in neonatal dried blood spotsPreprint

Albiñana, C., Zhu, Z., Borbye‐Lorenzen, N., Boelt, S. G., Cohen, A. S., Skogstrand, K., Wray, N. R., Revez, J. A., Privé, F., Petersen, L. V., et al. (2022) · medRxiv · doi:10.1101/2022.06.08.22276164 · Cited by 6

Fine-mapping genomic loci refines bipolar disorder risk genesPreprint

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Genomic analyses reveal new insights into Alzheimer's diseasePreprint

Uffelmann, E., Wightman, D. P., Bahrami, S., Shadrin, A. A., Fominykh, V., Ojima, T., Jiang, C., Benner, C., Moreno, E., Campos, A. I., et al. (2025) · medRxiv · doi:10.1101/2025.10.10.25337470 · Cited by 8

Changes in Genetic Contributions to ASD and ADHD by Year of Diagnosis

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Polygenic scores stratify neurodevelopmental copy number variant carrier cognitive outcomes in the UK Biobank

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Quantitative trait loci mapping of circulating metabolites in cerebrospinal fluid to uncover biological mechanisms involved in brain-related phenotypes

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Shared genetic etiology between ADHD, task-related behavioral measures and brain activation during response inhibition in a youth ADHD case–control study

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Influence of Genetic Variants on the Pharmacokinetics and Pharmacodynamics of Sirolimus: A Systematic Review

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Genome-wide association study of abnormal elevation of ALT in patients exposed to atabecestat

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Identification of women at high risk of postpartum psychiatric episodes: A population‐based study quantifying relative and absolute risks following exposure to selected risk factors and genetic liability

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Improving Machine Learning Prediction of ADHD Using Gene Set Polygenic Risk Scores and Risk Scores From Genetically Correlated Phenotypes

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Subtyping Schizophrenia Using Psychiatric Polygenic ScoresPreprint

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A Phenome-Wide Association Study (PheWAS) of Genetic Risk for C-Reactive Protein in Children of European Ancestry: Results From the ABCD Study

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Polygenic scores of subcortical brain volumes as possible modulators of treatment response in depression

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Sex-dependent placental methylation quantitative trait loci provide insight into the prenatal origins of childhood onset traits and conditions

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MIR137 polygenic risk for schizophrenia and ephrin-regulated pathway: Role in lateral ventricles and corpus callosum volume

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Investigating an in silico approach for prioritizing antidepressant drug prescription based on drug-induced expression profiles and predicted gene expression

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Increasing sample diversity in psychiatric genetics – Introducing a new cohort of patients with schizophrenia and controls from Vietnam – Results from a pilot study

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Rare-variant and polygenic analyses of amyotrophic lateral sclerosis in the French-Canadian genome

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A genetic risk score to predict treatment nonresponse in psychotic depression

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Exploring the Relationships Between Autozygosity, Educational Attainment, and Cognitive Ability in a Contemporary, Trans-Ancestral American Sample

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Genetic structure of major depression symptoms across clinical and community cohortsPreprint

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Genome-wide association meta-analysis of age at onset of walkingPreprint

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Genome-wide association studies identify 77 loci for suicidality and provide novel biological insightsPreprint

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Ricopili Pipeline And Standards of GWAS Analyses

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Fine-tuning of QC and imputation pipeline Ricopili reveals a genetic overlap of panic disorder with neuroticism and depression

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Gimpute: an efficient genetic data imputation pipeline

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CloudAssoc: A pipeline for imputation based genome wide association study on cloud

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nf-gwas-pipeline: A Nextflow Genome-Wide Association Study Pipeline

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