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

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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

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Biological insights from 108 schizophrenia-associated genetic loci

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

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

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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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Mapping genomic loci implicates genes and synaptic biology in schizophrenia

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Genome-wide association studies

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Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology

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Improving polygenic prediction in ancestrally diverse populations

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Comparative genetic architectures of schizophrenia in East Asian and European populations

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Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits

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Minimal phenotyping yields genome-wide association signals of low specificity for major depression

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A large-scale genome-wide association study meta-analysis of cannabis use disorder

Johnson, E. C., Demontis, D., Thorgeirsson, T. E., Walters, R. K., Polimanti, R. A., Hatoum, A. S., Sanchez‐Roige, S., Paul, S. E., Wendt, F. R., Clarke, T.-K., et al. (2020) · The Lancet Psychiatry · doi:10.1016/s2215-0366(20)30339-4 · Cited by 334

Depression pathophysiology, risk prediction of recurrence and comorbid psychiatric disorders using genome-wide analyses

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Trans-ancestry genome-wide study of depression identifies 697 associations implicating cell types and pharmacotherapies

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Dissecting the Association Between Inflammation, Metabolic Dysregulation, and Specific Depressive Symptoms

Kappelmann, N., Arloth, J., Georgakis, M. K., Czamara, D., Rost, N., Ligthart, S., Khandaker, G. M., & Binder, E. B. (2020) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2020.3436 · Cited by 270

Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores

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Dissecting the Shared Genetic Architecture of Suicide Attempt, Psychiatric Disorders, and Known Risk Factors

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Genomics yields biological and phenotypic insights into bipolar disorder

O’Connell, K. S., Koromina, M., van der Veen, T., Boltz, T. A., David, F. S., Yang, J. M. K., Lin, K., Wang, X., Coleman, J. R. I., Mitchell, B. L., et al. (2025) · Nature · doi:10.1038/s41586-024-08468-9 · Cited by 289

A phenotypic spectrum of autism is attributable to the combined effects of rare variants, polygenic risk and sex

Antaki, D., Guevara, J., Maihofer, A. X., Klein, M., Gujral, M., Grove, J., Carey, C. E., Hong, O., Arranz, M. J., Hervas, A., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01064-5 · Cited by 206

Genome-wide association analyses identify 95 risk loci and provide insights into the neurobiology of post-traumatic stress disorder

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. (2024) · Nature Genetics · doi:10.1038/s41588-024-01707-9 · Cited by 234

A Comparison of Ten Polygenic Score Methods for Psychiatric Disorders Applied Across Multiple Cohorts

Ni, G., Zeng, J., Revez, J. A., Wang, Y., Zheng, Z., Ge, T., Restuadi, R., Kiewa, J., Nyholt, D. R., Coleman, J. R. I., et al. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.04.018 · Cited by 213

Multi-ancestry study of the genetics of problematic alcohol use in over 1 million individuals

Zhou, H., Kember, R. L., Deak, J. D., Xu, H., Toikumo, S., Yuan, K., Lind, P. A., Farajzadeh, L., Wang, L., Hatoum, A. S., et al. (2023) · Nature Medicine · doi:10.1038/s41591-023-02653-5 · Cited by 179

Towards Reproducible Brain-Wide Association StudiesPreprint

Marek, S. A., Tervo-Clemmens, B., Calabro, F., Montez, D., Kay, B., Hatoum, A., Donohue, M., Foran, W., Miller, R. L., Feczko, E., et al. (2020) · bioRxiv · doi:10.1101/2020.08.21.257758 · Cited by 196

Automated data processing and feature engineering for deep learning and big data applications: A survey

Mumuni, A., & Mumuni, F. (2024) · Journal of Information and Intelligence · doi:10.1016/j.jiixd.2024.01.002 · Cited by 221

A harmonized public resource of deeply sequenced diverse human genomesPreprint

Koenig, Z., Yohannes, M. T., Nkambule, L. L., Zhao, X., Goodrich, J. K., Kim, H. A., Wilson, M. W., Tiao, G., Hao, S. P., Sahakian, N., et al. (2024) · Genome Research · doi:10.1101/gr.278378.123 · Cited by 168

Genome-wide association study of panic disorder reveals genetic overlap with neuroticism and depression

Forstner, A. J., Awasthi, S., Wolf, C., Maron, E., Erhardt, A., Czamara, D., Eriksson, E., Lavebratt, C., Allgulander, C., Friedrich, N., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0590-2 · Cited by 152

Sex-Dependent Shared and Non-Shared Genetic Architecture Across Mood and Psychotic Disorders

Blokland, G. A. M., Grove, J., Chen, C., Cotsapas, C. J., Tobet, S. A., Handa, R. J., Ripke, S., Neale, B. M., Corvin, A., Walters, J., et al. (2020) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.02.972 · Cited by 127

The Longitudinal Aging Study Amsterdam: cohort update 2019 and additional data collections

Hoogendijk, E. O., Deeg, D. J. H., de Breij, S., Klokgieters, S. S., Kok, A. A. L., Stringa, N., Timmermans, E. J., van Schoor, N. M., van Zutphen, E. M., van der Horst, M. H. L., et al. (2019) · European Journal of Epidemiology · doi:10.1007/s10654-019-00541-2 · Cited by 131

Identifying the Common Genetic Basis of Antidepressant Response

Pain, O., Hodgson, K., Trubetskoy, V., Ripke, S., Marshe, V. S., Adams, M. J., Byrne, E. M., Campos, A. I., Carrillo‐Roa, T., Cattaneo, A., et al. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.07.008 · Cited by 132

Polygenic Risk Score Contribution to Psychosis Prediction in a Target Population of Persons at Clinical High Risk

Perkins, D. O., Loohuis, L. M. O., Barbee, J., Ford, J. R., Jeffries, C. D., Addington, J., Bearden, C. E., Cadenhead, K. S., Cannon, T. D., Cornblatt, B. A., et al. (2019) · American Journal of Psychiatry · doi:10.1176/appi.ajp.2019.18060721 · Cited by 125

Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium

Polimanti, R. A., Walters, R. K., Johnson, E. C., McClintick, J. N., Adkins, A. E., Adkins, D. E., Bacanu, S., Bierut, L. J., Bigdeli, T. B., Brown, S. A., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-020-0677-9 · Cited by 125

The female protective effect against autism spectrum disorder

Wigdor, E. M., Weiner, D. J., Grove, J., Fu, J. M., Thompson, W. K., Carey, C. E., Baya, N., van der Merwe, C., Walters, R. K., Satterstrom, F. K., et al. (2021) · doi:10.1101/2021.03.29.21253866 · Cited by 124

The female protective effect against autism spectrum disorder

Wigdor, E. M., Weiner, D. J., Grove, J., Fu, J. M., Thompson, W. K., Carey, C. E., Baya, N., van der Merwe, C., Walters, R. K., Satterstrom, F. K., et al. (2022) · Cell Genomics · doi:10.1016/j.xgen.2022.100134 · Cited by 124

The Norwegian Mother, Father, and Child cohort study (MoBa) genotyping data resource: MoBaPsychGen pipeline v.1Preprint

Corfield, E. C., Shadrin, A. A., Frei, O., Rahman, Z., Lin, A., Athanasiu, L., Akdeniz, B. C., Filiz, T. T., Hannigan, L. J., Wootton, R. E., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.06.23.496289 · Cited by 108

Meta-analysis fine-mapping is often miscalibrated at single-variant resolution

Kanai, M., Elzur, R., Zhou, W., Zhou, W., Kanai, M., Wu, K.-H., Rasheed, H., Tsuo, K., Hirbo, J. B., Wang, Y., et al. (2022) · Cell Genomics · doi:10.1016/j.xgen.2022.100210 · Cited by 95

Genomic influences on self-reported childhood maltreatment

Dalvie, S., Maihofer, A. X., Coleman, J. R. I., Bradley, B., Breen, G. D., Brick, L. A. D., Chen, C., Choi, K. W., Duncan, L. E., Guffanti, G., et al. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0706-0 · Cited by 83

Genome-wide analyses identify 30 loci associated with obsessive–compulsive disorder

Strom, N. I., Gerring, Z. F., Galimberti, M., Yu, D., Halvorsen, M., Abdellaoui, A., Rodriguez‐Fontenla, C., Sealock, J., Bigdeli, T. B., Coleman, J. R. I., et al. (2025) · Nature Genetics · doi:10.1038/s41588-025-02189-z · Cited by 123

eXclusionarY: 10 years later, where are the sex chromosomes in GWASs?

Sun, L., Wang, Z., Lu, T., Manolio, T. A., & Paterson, A. D. (2023) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2023.04.009 · Cited by 76

Multi-PGS enhances polygenic prediction by combining 937 polygenic scores

Albiñana, C., Zhu, Z., Schork, A. J., Ingason, A., Aschard, H., Brikell, I., Bulik, C. M., Petersen, L. V., Agerbo, E., Grove, J., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-40330-w · Cited by 84

Identification of shared and differentiating genetic architecture for autism spectrum disorder, attention-deficit hyperactivity disorder and case subgroups

Mattheisen, M., Grove, J., Als, T. D., Martin, J., Voloudakis, G., Meier, S. M., Demontis, D., Bendl, J. M., Walters, R. K., Carey, C. E., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01171-3 · Cited by 80

A genetically informed Registered Report on adverse childhood experiences and mental health

Baldwin, J. R., Sallis, H., Schoeler, T., Taylor, M. J., Kwong, A. S. F., Tielbeek, J. J., Barkhuizen, W., Warrier, V., Howe, L. D., Danese, A., et al. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01482-9 · Cited by 83

Genome-wide association study meta-analysis of suicide death and suicidal behavior

Li, Q. S., Shabalin, A. A., DiBlasi, E., Gopal, S., Canuso, C. M., FinnGen, I. S. G. C., Palotie, A., Drevets, W. C., Docherty, A. R., & Coon, H. (2023) · Molecular Psychiatry · doi:10.1038/s41380-022-01828-9 · Cited by 68

Synaptic processes and immune-related pathways implicated in Tourette syndrome

Tsetsos, F., Yu, D., Sul, J. H., Huang, A. Y., Illmann, C., Osiecki, L., Darrow, S. M., Hirschtritt, M. E., Greenberg, E., Müller‐Vahl, K., et al. (2021) · Translational Psychiatry · doi:10.1038/s41398-020-01082-z · Cited by 61

Enhancing Discovery of Genetic Variants for Posttraumatic Stress Disorder Through Integration of Quantitative Phenotypes and Trauma Exposure Information

Maihofer, A. X., Choi, K. W., Coleman, J. R. I., Daskalakis, N. P., Denckla, C. A., Ketema, E., Morey, R. A., Polimanti, R. A., Ratanatharathorn, A. D., Torres, K., et al. (2021) · Biological Psychiatry · doi:10.1016/j.biopsych.2021.09.020 · Cited by 61

Genome-wide analyses of ADHD identify 27 risk loci, refine the genetic architecture and implicate several cognitive domainsPreprint

Demontis, D., Walters, G. B., Athanasiadis, G. I., Walters, R. K., Therrien, K., Farajzadeh, L., Voloudakis, G., Bendl, J. M., Zeng, B., Zhang, W., et al. (2022) · medRxiv · doi:10.1101/2022.02.14.22270780 · Cited by 61

Genetic comorbidity between major depression and cardio‐metabolic traits, stratified by age at onset of major depression

Hagenaars, S. P., Coleman, J. R. I., Choi, S. W., Gaspar, H., Adams, M. J., Howard, D. M., Hodgson, K., Traylor, M., Air, T. M., Andlauer, T. F. M., et al. (2020) · American Journal of Medical Genetics Part B: Neuropsychiatric Genetics · doi:10.1002/ajmg.b.32807 · Cited by 61

Heterogeneity and Polygenicity in Psychiatric Disorders: A Genome-Wide Perspective

Wendt, F. R., Pathak, G. A., Tylee, D. S., Goswami, A., & Polimanti, R. A. (2020) · Chronic Stress · doi:10.1177/2470547020924844 · Cited by 65

Genome-wide association study of patients with a severe major depressive episode treated with electroconvulsive therapy

Clements, C. C., Karlsson, R., Lu, Y., Juréus, A., Rück, C., Andersson, E., Boberg, J., Pedersen, N. L., Bulik, C. M., Nordenskjöld, A., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-020-00984-0 · Cited by 62

Effects of polygenic risk for Alzheimer’s disease on rate of cognitive decline in normal aging

Kauppi, K., Rönnlund, M., Adolfsson, A. N., Pudas, S., & Adolfsson, R. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-00934-y · Cited by 57

Multi-ancestry meta-analysis of tobacco use disorder identifies 461 potential risk genes and reveals associations with multiple health outcomes

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. (2024) · Nature Human Behaviour · doi:10.1038/s41562-024-01851-6 · Cited by 62

Polygenic and developmental profiles of autism differ by age at diagnosis

Zhang, X., Grove, J., Gu, Y., Buus, C. K., Nielsen, L. K., Neufeld, S., Koko, M., Malawsky, D. S., Wade, E. E., Verhoef, E., et al. (2025) · Nature · doi:10.1038/s41586-025-09542-6 · Cited by 88

Leveraging both individual-level genetic data and GWAS summary statistics increases polygenic prediction

Albiñana, C., Grove, J., McGrath, J. J., Agerbo, E., Wray, N. R., Bulik, C. M., Nordentoft, M., HOUGAARD, D. M., Werge, T. M., Børglum, A. D., et al. (2021) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2021.04.014 · Cited by 50

Characterisation of age and polarity at onset in bipolar disorder

Kalman, J. L., Loohuis, L. M. O., Vreeker, A., McQuillin, A., Stahl, E. A., Ruderfer, D. M., Grigoroiu‐Serbânescu, M., Panagiotaropoulou, G., Ripke, S., Bigdeli, T. B., et al. (2021) · The British Journal of Psychiatry · doi:10.1192/bjp.2021.102 · Cited by 50

A meta-analysis of polygenic risk scores for mood disorders, neuroticism, and schizophrenia in antidepressant response

Fanelli, G., Domschke, K., Minelli, A., Gennarelli, M., Martini, P. G. V., Bortolomasi, M., Maron, E., Squassina, A., Kasper, S., Zohar, J., et al. (2021) · European Neuropsychopharmacology · doi:10.1016/j.euroneuro.2021.11.005 · Cited by 51

Risk variants and polygenic architecture of disruptive behavior disorders in the context of attention-deficit/hyperactivity disorder

Demontis, D., Walters, R. K., Rajagopal, V. M., Waldman, I. D., Grove, J., Als, T. D., Dalsgaard, S., Ribasés, M., Bybjerg-Grauholm, J., Bækvad-Hansen, M., et al. (2021) · Nature Communications · doi:10.1038/s41467-020-20443-2 · Cited by 50

Genome-wide analysis of a model-derived binge eating disorder phenotype identifies risk loci and implicates iron metabolism

Burstein, D., Griffen, T. C., Therrien, K., Bendl, J. M., Venkatesh, S., Dong, P., Modabbernia, A., Zeng, B., Mathur, D. D., Hoffman, G. E., et al. (2023) · Nature Genetics · doi:10.1038/s41588-023-01464-1 · Cited by 49

Accounting for age of onset and family history improves power in genome-wide association studies

Pedersen, E. M., Agerbo, E., Plana‐Ripoll, O., Grove, J., Dreier, J. W., Musliner, K. L., Bækvad‐Hansen, M., Athanasiadis, G. I., Schork, A. J., Bybjerg‐Grauholm, J., et al. (2022) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2022.01.009 · Cited by 40

The effect of polygenic risk scores for major depressive disorder, bipolar disorder and schizophrenia on morphological brain measures: A systematic review of the evidence

Cattarinussi, G., Delvecchio, G., Sambataro, F., & Brambilla, P. (2022) · Journal of Affective Disorders · doi:10.1016/j.jad.2022.05.007 · Cited by 44

No evidence that vitamin D is able to prevent or affect the severity of COVID-19 in individuals with European ancestry: a Mendelian randomisation study of open data

Amin, H. A., & Drenos, F. (2021) · BMJ Nutrition Prevention & Health · doi:10.1136/bmjnph-2020-000151 · Cited by 44

ADuLT: An efficient and robust time-to-event GWAS

Pedersen, E. M., Agerbo, E., Plana‐Ripoll, O., Steinbach, J., Krebs, M. D., HOUGAARD, D. M., Werge, T. M., Nordentoft, M., Børglum, A. D., Musliner, K. L., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-41210-z · Cited by 47

Stability of polygenic scores across discovery genome-wide association studies

Schultz, L. M., Merikangas, A. K., Ruparel, K., Jacquemont, S., Glahn, D. C., Gur, R. E., Barzilay, R., & Almasy, L. A. (2022) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2022.100091 · Cited by 42

Low and differential polygenic score generalizability among African populations due largely to genetic diversity

Majara, L., Kalungi, A., Koen, N., Tsuo, K., Wang, Y., Gupta, R., Nkambule, L. L., Zar, H. J., Stein, D. J., Kinyanda, E., et al. (2023) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2023.100184 · Cited by 65

Genetic risk scores for major psychiatric disorders and the risk of postpartum psychiatric disorders

Bauer, A. E., Liu, X., Byrne, E. M., Sullivan, P. F., Wray, N. R., Agerbo, E., Nyegaard, M., Grove, J., Musliner, K. L., Ingstrup, K. G., et al. (2019) · Translational Psychiatry · doi:10.1038/s41398-019-0629-9 · Cited by 42

Neurobiological, familial and genetic risk factors for dimensional psychopathology in the Adolescent Brain Cognitive Development study

Wainberg, M., Jacobs, G. R., Voineskos, A. N., & Tripathy, S. J. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01522-w · Cited by 41

Long-term impact of digital media on brain development in children

Nivins, S., Sauce, B., Liebherr, M., Judd, N., & Klingberg, T. (2024) · Scientific Reports · doi:10.1038/s41598-024-63566-y · Cited by 51

Common Genetic Variation and Age of Onset of Anorexia Nervosa

Watson, H. J., Thornton, L. M., Yılmaz, Z., Baker, J. H., Coleman, J. R. I., Adan, R. A. H., Alfredsson, L. S., Andreassen, O. A., Ask, H., Berrettini, W. H., et al. (2021) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2021.09.001 · Cited by 35

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

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. (2023) · Nature Communications · doi:10.1038/s41467-023-36392-5 · Cited by 35

Genome-Wide Association Study of Obsessive-Compulsive Symptoms including 33,943 individuals from the general population

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Metabolic activity of CYP2C19 and CYP2D6 on antidepressant response from 13 clinical studies using genotype imputation: a meta-analysis

Li, D., Pain, O., Fabbri, C., Wong, W. L. E., Lo, C. W. H., Ripke, S., Cattaneo, A., Souery, D., Dernovšek, M. Z., Henigsberg, N., et al. (2024) · Translational Psychiatry · doi:10.1038/s41398-024-02981-1 · Cited by 40

Genome-wide association study of major anxiety disorders in 122,341 European-ancestry cases identifies 58 loci and highlights GABAergic signaling

Strom, N. I., Verhulst, B., Bacanu, S., Cheesman, R., Purves, K. L., Gedik, H., Mitchell, B. L., Kwong, A. S. F., Faucon, A. B., Singh, K., et al. (2026) · Nature Genetics · doi:10.1038/s41588-025-02485-8 · Cited by 82

Genome-wide association study identifies new locus associated with OCDPreprint

Strom, N. I., Yu, D., Gerring, Z. F., Halvorsen, M., Abdellaoui, A., Rodriguez‐Fontenla, C., Sealock, J., Bigdeli, T. B., Coleman, J. R. I., Mahjani, B., et al. (2021) · medRxiv · doi:10.1101/2021.10.13.21261078 · Cited by 28

Large‐scale collaboration in ENIGMA‐EEG: A perspective on the meta‐analytic approach to link neurological and psychiatric liability genes to electrophysiological brain activity

Smit, D. J. A., Andreassen, O. A., Boomsma, D. I., Burwell, S. J., Chorlian, D. B., de Geus, E. J. C., Elvsåshagen, T., Gordon, R. L., Harper, J., Hegerl, U., et al. (2021) · Brain and Behavior · doi:10.1002/brb3.2188 · Cited by 34

Sex-specific effects of polygenic risk for schizophrenia on lifespan cognitive functioning in healthy individuals

Koch, E. M., Nyberg, L. H., Lundquist, A., Pudas, S., Adolfsson, R., & Kauppi, K. (2021) · Translational Psychiatry · doi:10.1038/s41398-021-01649-4 · Cited by 30

The collaborative study on the genetics of alcoholism: Genetics

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Dissecting the shared genetic architecture of suicide attempt, psychiatric disorders and known risk factorsPreprint

Mullins, N., Kang, J., Campos, A. I., Coleman, J. R. I., Edwards, A. C., Galfalvy, H., Levey, D. F., Lori, A., Shabalin, A. A., Starnawska, A., et al. (2020) · medRxiv · doi:10.1101/2020.12.01.20241281 · Cited by 29

Prenatal cannabis exposure, the brain, and psychopathology during early adolescence

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Multi-ancestry genome-wide association analyses of polycystic ovary syndrome

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Genome-wide association study of major anxiety disorders in 122,341 European-ancestry cases identifies 58 loci and highlights GABAergic signalingPreprint

Strom, N. I., Verhulst, B., Bacanu, S., Cheesman, R., Purves, K. L., Gedik, H., Mitchell, B. L., Kwong, A. S. F., Faucon, A. B., Singh, K., et al. (2024) · medRxiv · doi:10.1101/2024.07.03.24309466 · Cited by 27

Cerebrospinal fluid proteomics targeted for central nervous system processes in bipolar disorder

Göteson, A., Isgren, A., Jönsson, L., Sparding, T., Smedler, E., Pelanis, A., Zetterberg, H., Jakobsson, J., Pålsson, E., Holmén‐Larsson, J., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01236-5 · Cited by 29

Genetic structure correlates with ethnolinguistic diversity in eastern and southern Africa

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Working memory moderates the relation between the brain-derived neurotropic factor (BDNF) and psychotherapy outcome for depression

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Low generalizability of polygenic scores in African populations due to genetic and environmental diversityPreprint

Majara, L., Kalungi, A., Koen, N., Zar, H. J., Stein, D. J., Kinyanda, E., Atkinson, E. G., & Martin, A. R. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.01.12.426453 · Cited by 26

Borderline personality disorder and the big five: molecular genetic analyses indicate shared genetic architecture with neuroticism and openness

Streit, F., Witt, S. H., Awasthi, S., Foo, J. C., Jungkunz, M., Frank, J., Colodro‐Conde, L., Hindley, G., Smeland, O. B., Maslahati, T., et al. (2022) · Translational Psychiatry · doi:10.1038/s41398-022-01912-2 · Cited by 29

Associations between brain imaging and polygenic scores of mental health and educational attainment in children aged 9–11

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Minimal phenotyping yields GWAS hits of reduced specificity for major depressionPreprint

Cai, N., Revez, J. A., Adams, M. J., Andlauer, T. F. M., Breen, G. D., Byrne, E. M., Clarke, T., Forstner, A. J., Grabe, H. J., Hamilton, S. P., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/440735 · Cited by 25

Fine-mapping genomic loci refines bipolar disorder risk genes

Koromina, M., Ravi, A., Panagiotaropoulou, G., Schilder, B. M., Humphrey, J., Braun, A., Bidgeli, T., Chatzinakos, C., Coombes, B. J., Kim, J., et al. (2025) · Nature Neuroscience · doi:10.1038/s41593-025-01998-z · Cited by 29

Relationships between apparent cortical thickness and working memory across the lifespan - Effects of genetics and socioeconomic status

Krogsrud, S. K., Mowinckel, A. M., Sederevičius, D., Dídac Vidal-piñeiro, A., Amlien, I. K., Wang, Y., Sørensen, Ø., Walhovd, K. B., & Fjell, A. M. (2021) · Developmental Cognitive Neuroscience · doi:10.1016/j.dcn.2021.100997 · Cited by 25

Genome-wide meta-analysis of ascertainment and symptom structures of major depression in case-enriched and community cohorts

Adams, M. J., Thorp, J. G., Jermy, B. S., Kwong, A. S. F., Kõiv, K., Grotzinger, A. D., Nivard, M. G., Marshall, S., Milaneschi, Y., Baune, B. T., et al. (2024) · Psychological Medicine · doi:10.1017/s0033291724001880 · Cited by 31

Aggression based genome-wide, glutamatergic, dopaminergic and neuroendocrine polygenic risk scores predict callous-unemotional traits

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Host genetic factors of COVID-19 susceptibility and disease severity in a Thai population

Chamnanphon, M., Pongpanich, M., Suttichet, T. B., Jantarabenjakul, W., Torvorapanit, P., Putcharoen, O., Sodsai, P., Phokaew, C., Hirankarn, N., Chariyavilaskul, P., et al. (2022) · Journal of Human Genetics · doi:10.1038/s10038-021-01009-6 · Cited by 22

Association Between Polygenic Risk Scores and Outcome of ECT

Sigström, R., Kowalec, K., Jönsson, L., Clements, C. C., Karlsson, R., Nordenskjöld, A., Pålsson, E., Sullivan, P. F., & Landén, M. (2022) · American Journal of Psychiatry · doi:10.1176/appi.ajp.22010045 · Cited by 24

Genomics yields biological and phenotypic insights into bipolar disorderPreprint

O’Connell, K. S., Koromina, M., van der Veen, T., Boltz, T. A., David, F. S., Yang, J. M. K., Lin, K., Wang, X., Coleman, J. R. I., Mitchell, B. L., et al. (2023) · medRxiv · doi:10.1101/2023.10.07.23296687 · Cited by 22

Using a polygenic score in a family design to understand genetic influences on musicality

Wesseldijk, L. W., Abdellaoui, A., Gordon, R. L., Aslibekyan, S. W., Auton, A., Babalola, E., Bell, R. K., Bielenberg, J., Bryc, K., Bullis, E., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-18703-w · Cited by 24

Advancing crop improvement through GWAS and beyond in mung bean

Ahmed, S. R., Asghar, M. J., Hameed, A., Ghaffar, M., & Shahid, M. (2024) · Frontiers in Plant Science · doi:10.3389/fpls.2024.1436532 · Cited by 22

Polygenic liability, stressful life events and risk for secondary-treated depression in early life: a nationwide register-based case-cohort study

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Polygenic risk scores for alcohol involvement relate to brain structure in substance‐naïve children: Results from the ABCD study

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Polygenic Heterogeneity Across Obsessive-Compulsive Disorder Subgroups Defined by a Comorbid Diagnosis

Strom, N. I., Grove, J., Meier, S. M., Bækvad‐Hansen, M., Nissen, J. B., Als, T. D., Halvorsen, M., Nordentoft, M., Mortensen, P. B., HOUGAARD, D. M., et al. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.711624 · Cited by 20

Polygenic Risk and Episode Polarity Among Individuals With Bipolar Disorder

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Genetic Liability for Depression, Social Factors and Their Interaction Effect in Depressive Symptoms and Depression Over Time in Older Adults

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Discordant calls across genotype discovery approaches elucidate variants with systematic errorsPreprint

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BIGwas: Single-command quality control and association testing for multi-cohort and biobank-scale GWAS/PheWAS data

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Global DNA methylation changes in adults with attention deficit-hyperactivity disorder and its comorbidity with bipolar disorder: links with polygenic scores

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The course of attention-deficit/hyperactivity disorder through midlife

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Genetic variation and pesticide exposure influence blood DNA methylation signatures in females with early-stage Parkinson’s disease

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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

Awasthi, S. (2024) · doi:10.17169/refubium-42958

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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