Leveraging single-cell ATAC-seq and RNA-seq to identify disease-critical fetal and adult brain cell types
Open accessPublished version of a preprint
Abstract
Prioritizing disease-critical cell types by integrating genome-wide association studies (GWAS) with functional data is a fundamental goal. Single-cell chromatin accessibility (scATAC-seq) and gene expression (scRNA-seq) have characterized cell types at high resolution, and studies integrating GWAS with scRNA-seq have shown promise, but studies integrating GWAS with scATAC-seq have been limited. Here, we identify disease-critical fetal and adult brain cell types by integrating GWAS summary statistics from 28 brain-related diseases/traits (average N = 298 K) with 3.2 million scATAC-seq and scRNA-seq profiles from 83 cell types. We identified disease-critical fetal (respectively adult) brain cell types for 22 (respectively 23) of 28 traits using scATAC-seq, and for 8 (respectively 17) of 28 traits using scRNA-seq. Significant scATAC-seq enrichments included fetal photoreceptor cells for major depressive disorder, fetal ganglion cells for BMI, fetal astrocytes for ADHD, and adult VGLUT2 excitatory neurons for schizophrenia. Our findings improve our understanding of brain-related diseases/traits and inform future analyses.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Epigenetic marks vary dramatically between neurons, glia, and other brain cells.
“Cell type specificity varies since epigenetic marks vary dramatically between neurons, glia, and other brain cells (45).”
From The clinical use of epigenetics in psychiatry: a narrative review of epigenetic mechanisms, key candidate genes, and precision psychiatry (2025) · cites this paper as [45]
The Methods section (page unavailable) describes cell-type-specific chromatin-accessibility peaks, and the Results compare annotations for astrocytes and neuronal cell types. This supports differences in chromatin accessibility between brain cell types, but the paper does not establish that epigenetic marks generally vary dramatically between neurons, glia, and other brain cells. (LLM, conf=0.80)
Experimental — accuracy not yet measuredGenetic risk for depression is enriched in adult BDNF-positive excitatory neurons as well as in specific developmental cell populations.
“Recent studies further indicate that genetic risk for depression is enriched in adult BDNF-positive excitatory neurons as well as in specific developmental cell populations, highlighting both cell-type specificity and developmental-stage vulnerability (Kim et al., 2024).”
From Histone modifications and depression: epigenetic mechanisms, therapeutic targets, and translational outlook (2026) · cites this paper as Kim et al., 2024
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
A global reference for human genetic variation
The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247 · see citing works
Fast, sensitive and accurate integration of single-cell data with Harmony
Korsunsky, I., Millard, N., Fan, J., Slowikowski, K., Zhang, F., Wei, K., Baglaenko, Y., Brenner, M., Loh, P.-R., & Raychaudhuri, S. (2019) · Nature Methods · doi:10.1038/s41592-019-0619-0 · Cited by 10,488 · see citing works
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 · see citing works
Integrative analysis of 111 reference human epigenomes
Roadmap Epigenomics Consortium, Kundaje, A., Meuleman, W., Ernst, J., Bilenky, M., Yen, A., Heravi-Moussavi, A., Kheradpour, P., Zhang, Z., Wang, J., et al. (2015) · Nature · doi:10.1038/nature14248 · Cited by 6,368 · cited 7× · see citing works
“For each data set, we used the sc-linker pipeline 22 to construct probability scores annotating SNPs linked to speci fi cally expressed genes in a given cell type 8 (compared to other brain cell types) using brain-speci fi c enhancer-gene links 7,22,30,31 .”
BackgroundMethodInfluentialFrom Louvain to Leiden: guaranteeing well-connected communities
Traag, V. A., Waltman, L., & van Eck, N. J. (2019) · Scientific Reports · doi:10.1038/s41598-019-41695-z · Cited by 5,635 · see citing works
GREAT improves functional interpretation of cis-regulatory regions
McLean, C. Y., Bristor, D., Hiller, M., Clarke, S. L., Schaar, B. T., Lowe, C. B., Wenger, A. M., & Bejerano, G. (2010) · Nature Biotechnology · doi:10.1038/nbt.1630 · Cited by 4,502 · see citing works
An atlas of genetic correlations across human diseases and traits
ReproGen Consortium, Bulik-Sullivan, B., Psychiatric Genomics Consortium, Genetic Consortium for Anorexia Nervosa of the Wellcome Trust Case Control Consortium 3, Finucane, H. K., Anttila, V., Gusev, A., Day, F. R., Loh, P.-R., Duncan, L., et al. (2015) · Nature Genetics · doi:10.1038/ng.3406 · Cited by 4,255 · see citing works
10 Years of GWAS Discovery: Biology, Function, and Translation
Visscher, P. M., Wray, N. R., Zhang, Q., Sklar, P., McCarthy, M. I., Brown, M. A., & Yang, J. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.06.005 · Cited by 3,719 · see citing works
Systematic Localization of Common Disease-Associated Variation in Regulatory DNA
Maurano, M. T., Humbert, R., Rynes, E., Thurman, R. E., Haugen, E., Wang, H., Reynolds, A. P., Sandstrom, R., Qu, H., Brody, J., et al. (2012) · Science · doi:10.1126/science.1222794 · Cited by 3,716 · see citing works
Integrating common and rare genetic variation in diverse human populations
The International HapMap 3 Consortium (2010) · Nature · doi:10.1038/nature09298 · Cited by 3,026 · see citing works
Mapping genomic loci implicates genes and synaptic biology in schizophrenia
Trubetskoy, V., Pardiñas, A. F., Qi, T., Panagiotaropoulou, G., Awasthi, S., Bigdeli, T. B., Bryois, J., Chen, C.-Y., Dennison, C. A., Hall, L. S., et al. (2022) · Nature · doi:10.1038/s41586-022-04434-5 · Cited by 2,964 · see citing works
Partitioning heritability by functional annotation using genome-wide association summary statistics
ReproGen Consortium, Finucane, H. K., Schizophrenia Working Group of the Psychiatric Genomics Consortium, The RACI Consortium, Bulik-Sullivan, B., Gusev, A., Trynka, G., Reshef, Y., Loh, P.-R., Anttila, V., et al. (2015) · Nature Genetics · doi:10.1038/ng.3404 · Cited by 2,604 · see citing works
Howard, D. M., Adams, M. J., Clarke, T.-K., Hafferty, J. D., Gibson, J., Shirali, M., Coleman, J. R. I., Hagenaars, S. P., Ward, J., Wigmore, E. M., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0326-7 · Cited by 2,565 · see citing works
ADHD Working Group of the Psychiatric Genomics Consortium (PGC), Demontis, D., Early Lifecourse & Genetic Epidemiology (EAGLE) Consortium, 23andMe Research Team, Walters, R. K., Martin, J., Mattheisen, M., Als, T. D., Agerbo, E., Baldursson, G., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0269-7 · Cited by 2,203 · see citing works
Spatio-temporal transcriptome of the human brain
Kang, H. J., Kawasawa, Y. I., Cheng, F., Zhu, Y., Xu, X., Li, M., Sousa, A. M. M., Pletikos, M., Meyer, K. A., Sedmak, G., et al. (2011) · Nature · doi:10.1038/nature10523 · Cited by 2,084 · see citing works
Dixit, A., Parnas, O., Li, B., Chen, J., Fulco, C. P., Jerby-Arnon, L., Marjanovic, N. D., Dionne, D., Burks, T., Raychowdhury, R., et al. (2016) · Cell · doi:10.1016/j.cell.2016.11.038 · Cited by 1,863 · see citing works
Identifying ChIP-seq enrichment using MACS
Feng, J., Liu, T., Qin, B., Zhang, Y., & Liu, X. S. (2012) · Nature Protocols · doi:10.1038/nprot.2012.101 · Cited by 1,805 · see citing works
GERAD1 Consortium, Pardiñas, A. F., CRESTAR Consortium, Holmans, P., Pocklington, A. J., Escott-Price, V., Ripke, S., Carrera, N., Legge, S. E., Bishop, S., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0059-2 · Cited by 1,552 · see citing works
Genome-wide association study identifies 30 loci associated with bipolar disorder
eQTLGen Consortium, Stahl, E. A., BIOS Consortium, the Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Breen, G., Forstner, A. J., McQuillin, A., Ripke, S., Trubetskoy, V., Mattheisen, M., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0397-8 · Cited by 1,519 · see citing works
Savage, J. E., Jansen, P. R., Stringer, S., Watanabe, K., Bryois, J., de Leeuw, C. A., Nagel, M., Awasthi, S., Barr, P. B., Coleman, J. R. I., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0152-6 · Cited by 1,443 · see citing works
Astrocytes mediate synapse elimination through MEGF10 and MERTK pathways
Chung, W.-S., Clarke, L. E., Wang, G. X., Stafford, B. K., Sher, A., Chakraborty, C., Joung, J., Foo, L. C., Thompson, A., Chen, C., et al. (2013) · Nature · doi:10.1038/nature12776 · Cited by 1,377 · cited 1× · see citing works
“While astrocytes participate in defense against stress, energy storage, and tissue repair, they also mediate synaptic pruning (elimination of synaptosomes) during development 58 .”
BackgroundChromatin Potential Identified by Shared Single-Cell Profiling of RNA and Chromatin
Ma, S., Zhang, B., LaFave, L. M., Earl, A. S., Chiang, Z., Hu, Y., Ding, J., Brack, A., Kartha, V. K., Tay, T., et al. (2020) · Cell · doi:10.1016/j.cell.2020.09.056 · Cited by 1,146 · see citing works
Activity-by-contact model of enhancer–promoter regulation from thousands of CRISPR perturbations
Fulco, C. P., Nasser, J., Jones, T. R., Munson, G., Bergman, D. T., Subramanian, V., Grossman, S. R., Anyoha, R., Doughty, B. R., Patwardhan, T. A., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0538-0 · Cited by 1,111 · see citing works
Finucane, H. K., Reshef, Y. A., Anttila, V., Slowikowski, K., Gusev, A., Byrnes, A., Gazal, S., Loh, P.-R., Lareau, C., Shoresh, N., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0081-4 · Cited by 1,097 · see citing works
GABAergic Interneurons Implications for Understanding Schizophrenia and Bipolar Disorder
Benes, F. (2001) · Neuropsychopharmacology · doi:10.1016/s0893-133x(01)00225-1 · Cited by 1,082 · see citing works
Single-cell genomics identifies cell type–specific molecular changes in autism
Velmeshev, D., Schirmer, L., Jung, D., Haeussler, M., Perez, Y., Mayer, S., Bhaduri, A., Goyal, N., Rowitch, D. H., & Kriegstein, A. R. (2019) · Science · doi:10.1126/science.aav8130 · Cited by 927 · see citing works
From genome-wide associations to candidate causal variants by statistical fine-mapping
Schaid, D. J., Chen, W., & Larson, N. B. (2018) · Nature Reviews Genetics · doi:10.1038/s41576-018-0016-z · Cited by 897 · see citing works
Jansen, P. R., Watanabe, K., Stringer, S., Skene, N., Bryois, J., Hammerschlag, A. R., de Leeuw, C., Benjamins, J. S., Muñoz‐Manchado, A. B., Nagel, M., et al. (2019) · Nature Genetics · doi:10.1038/s41588-018-0333-3 · Cited by 839 · see citing works
Integrative functional genomic analysis of human brain development and neuropsychiatric risks
Li, M., Santpere, G., Imamura Kawasawa, Y., Evgrafov, O. V., Gulden, F. O., Pochareddy, S., Sunkin, S. M., Li, Z., Shin, Y., Zhu, Y., et al. (2018) · Science · doi:10.1126/science.aat7615 · Cited by 810 · see citing works
Identification of region-specific astrocyte subtypes at single cell resolution
Batiuk, M. Y., Martirosyan, A., Wahis, J., de Vin, F., Marneffe, C., Kusserow, C., Koeppen, J., Viana, J. F., Oliveira, J. F., Voet, T., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-14198-8 · Cited by 805 · see citing works
Zoghbi, H. Y., & Bear, M. F. (2012) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a009886 · Cited by 797 · see citing works
Scaling single-cell genomics from phenomenology to mechanism
Tanay, A., & Regev, A. (2017) · Nature · doi:10.1038/nature21350 · Cited by 792 · see citing works
A human cell atlas of fetal gene expression
Cao, J., O’Day, D. R., Pliner, H. A., Kingsley, P. D., Deng, M., Daza, R. M., Zager, M. A., Aldinger, K. A., Blecher-Gonen, R., Zhang, F., et al. (2020) · Science · doi:10.1126/science.aba7721 · Cited by 764 · see citing works
A Single-Cell Atlas of In Vivo Mammalian Chromatin Accessibility
Cusanovich, D. A., Hill, A. J., Aghamirzaie, D., Daza, R. M., Pliner, H. A., Berletch, J. B., Filippova, G. N., Huang, X., Christiansen, L., DeWitt, W. S., et al. (2018) · Cell · doi:10.1016/j.cell.2018.06.052 · Cited by 759 · see citing works
Mixed-model association for biobank-scale datasets
Loh, P.-R., Kichaev, G., Gazal, S., Schoech, A. P., & Price, A. L. (2018) · Nature Genetics · doi:10.1038/s41588-018-0144-6 · Cited by 758 · see citing works
Genome-wide enhancer maps link risk variants to disease genes
Nasser, J., Bergman, D. T., Fulco, C. P., Guckelberger, P., Doughty, B. R., Patwardhan, T. A., Jones, T. R., Nguyen, T. H., Ulirsch, J. C., Lekschas, F., et al. (2021) · Nature · doi:10.1038/s41586-021-03446-x · Cited by 669 · see citing works
Davies, G., Lam, M., Harris, S. E., Trampush, J. W., Michelle Luciano, A., Hill, W. D., Hagenaars, S. P., Ritchie, S. J., Marioni, R. E., Fawns‐Ritchie, C., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04362-x · Cited by 668 · see citing works
Dashti, H. S., Jones, S. E., Wood, A. R., Lane, J. M., van Hees, V. T., Wang, H., Rhodes, J. A., Song, Y., Patel, K., Anderson, S. G., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-08917-4 · Cited by 595 · see citing works
Ferguson, B. R., & Gao, W.-J. (2018) · Frontiers in Neural Circuits · doi:10.3389/fncir.2018.00037 · Cited by 594 · see citing works
Sloan, S. A., Darmanis, S., Huber, N., Khan, T. A., Birey, F., Caneda, C., Reimer, R., Quake, S. R., Barres, B. A., & Paşca, S. P. (2017) · Neuron · doi:10.1016/j.neuron.2017.07.035 · Cited by 593 · see citing works
Chromatin marks identify critical cell types for fine mapping complex trait variants
Trynka, G., Sandor, C., Han, B., Xu, H., Stranger, B. E., Liu, X. S., & Raychaudhuri, S. (2013) · Nature Genetics · doi:10.1038/ng.2504 · Cited by 580 · see citing works
Gazal, S., Finucane, H. K., Furlotte, N. A., Loh, P.-R., Palamara, P. F., Liu, X., Schoech, A., Bulik-Sullivan, B., Neale, B. M., Gusev, A., et al. (2017) · Nature Genetics · doi:10.1038/ng.3954 · Cited by 525 · see citing works
A single-cell atlas of chromatin accessibility in the human genome
Zhang, K., Hocker, J. D., Miller, M., Hou, X., Chiou, J., Poirion, O. B., Qiu, Y., Li, Y. E., Gaulton, K. J., Wang, A., et al. (2021) · Cell · doi:10.1016/j.cell.2021.10.024 · Cited by 502 · see citing works
Inherited and de novo genetic risk for autism impacts shared networks
Ruzzo, E. K., Pérez-Cano, L., Jung, J.-Y., Wang, L.-K., Kashef-Haghighi, D., Hartl, C., Singh, C., Xu, J., Hoekstra, J. N., Leventhal, O., et al. (2019) · Cell · doi:10.1016/j.cell.2019.07.015 · Cited by 457 · see citing works
The Roles of BDNF in the Pathophysiology of Major Depression and in Antidepressant Treatment
Lee, B.-H., & Kim, Y.-K. (2010) · Psychiatry Investigation · doi:10.4306/pi.2010.7.4.231 · Cited by 436 · see citing works
Probabilistic fine-mapping of transcriptome-wide association studies
Mancuso, N., Freund, M. K., Johnson, R., Shi, H., Kichaev, G., Gusev, A., & Paşaniuc, B. (2019) · Nature Genetics · doi:10.1038/s41588-019-0367-1 · Cited by 384 · see citing works
Regulatory genomic circuitry of human disease loci by integrative epigenomics
Boix, C. A., James, B. T., Park, Y., Meuleman, W. R. A., & Kellis, M. (2021) · Nature · doi:10.1038/s41586-020-03145-z · Cited by 384 · see citing works
A comprehensive transcriptional map of primate brain development
Bakken, T. E., Miller, J. A., Ding, S., Sunkin, S. M., Smith, K. A., Ng, L., Szafer, A., Dalley, R. A., Royall, J. J., Lemon, T. A., et al. (2016) · Nature · doi:10.1038/nature18637 · Cited by 376 · see citing works
Bryois, J., Skene, N., Hansen, T. F., Kogelman, L. J. A., Watson, H. J., Liu, Z., Adan, R. A. H., Alfredsson, L. S., Ando, T., Andreassen, O. A., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-0610-9 · Cited by 375 · see citing works
A human cell atlas of fetal chromatin accessibility
Domcke, S., Hill, A. J., Daza, R. M., Cao, J., O’Day, D. R., Pliner, H. A., Aldinger, K. A., Pokholok, D., Zhang, F., Milbank, J. H., et al. (2020) · Science · doi:10.1126/science.aba7612 · Cited by 375 · see citing works
Corces, M. R., Shcherbina, A., Kundu, S., Gloudemans, M. J., Frésard, L., Granja, J. M., Louie, B. H., Eulalio, T., Shams, S., Bagdatli, S. T., et al. (2020) · Nature Genetics · doi:10.1038/s41588-020-00721-x · Cited by 358 · see citing works
Moriguchi, S., Takamiya, A., Noda, Y., Horita, N., Wada, M., Tsugawa, S., Plitman, E., Sano, Y., Tarumi, R., ElSalhy, M., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-018-0252-9 · Cited by 357 · see citing works
Gao, C. D., Montoya, L., Xu, L., Madera, M. A., Hollingsworth, J., Purdom, E. A., Singan, V. R., Vogel, J. P., Hutmacher, R. B., Dahlberg, J. A., et al. (2020) · Nature Communications · doi:10.1038/s41467-019-13913-9 · Cited by 345 · see citing works
Hyperactivity with Disrupted Attention by Activation of an Astrocyte Synaptogenic Cue
Nagai, J., Rajbhandari, A. K., Gangwani, M. R., Hachisuka, A., Coppola, G., Masmanidis, S. C., Fanselow, M. S., & Khakh, B. S. (2019) · Cell · doi:10.1016/j.cell.2019.03.019 · Cited by 322 · see citing works
Massively parallel assessment of human variants with base editor screens
Hanna, R. E., Hegde, M., Fagre, C. R., DeWeirdt, P. C., Sangree, A. K., Szegletes, Z., Griffith, A., Feeley, M. N., Sanson, K. R., Baidi, Y., et al. (2021) · Cell · doi:10.1016/j.cell.2021.01.012 · Cited by 316 · see citing works
Massively parallel assessment of human variants with base editor screens
Hanna, R. E., Hegde, M., Fagre, C. R., DeWeirdt, P. C., Sangree, A. K., Szegletes, Z., Griffith, A., Feeley, M. N., Sanson, K. R., Baidi, Y., et al. (2020) · doi:10.1101/2020.05.17.100818 · Cited by 314 · see citing works
Zhang, M. J., Hou, K., Dey, K. K., Sakaue, S., Jagadeesh, K. A., Weinand, K., Taychameekiatchai, A., Rao, P., Pisco, A. O., Zou, J., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01167-z · Cited by 302 · see citing works
Single-cell epigenomics reveals mechanisms of human cortical development
Ziffra, R. S., Kim, C. N., Ross, J. M., Wilfert, A. B., Turner, T. N., Haeussler, M., Casella, A. M., Przytycki, P. F., Keough, K. C., Shin, D. S., et al. (2021) · Nature · doi:10.1038/s41586-021-03209-8 · Cited by 267 · see citing works
Genome-wide association study identifies 30 Loci Associated with Bipolar DisorderPreprint
Stahl, E. A., Breen, G. D., Forstner, A. J., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/173062 · Cited by 255 · see citing works
Jagadeesh, K. A., Dey, K. K., Montoro, D. T., Mohan, R., Gazal, S., Engreitz, J. M., Xavier, R. J., Price, A. L., & Regev, A. (2022) · Nature Genetics · doi:10.1038/s41588-022-01187-9 · Cited by 239 · see citing works
Sabel, B. A., Wang, J., Cárdenas‐Morales, L., Faiq, M. A., & Heim, C. C. (2018) · The EPMA Journal · doi:10.1007/s13167-018-0136-8 · Cited by 237 · see citing works
Kircher, M., Xiong, C., Martin, B., Schubach, M., Inoue, F., Bell, R. J. A., Costello, J. F., Shendure, J., & Ahituv, N. (2019) · Nature Communications · doi:10.1038/s41467-019-11526-w · Cited by 234 · see citing works
Temporal Specification and Bilaterality of Human Neocortical Topographic Gene Expression
Pletikos, M., Sousa, A. M. M., Sedmak, G., Meyer, K. A., Zhu, Y., Cheng, F., Li, M., Kawasawa, Y. I., & Šestan, N. (2014) · Neuron · doi:10.1016/j.neuron.2013.11.018 · Cited by 228 · see citing works
Interrogation of human hematopoiesis at single-cell and single-variant resolution
Ulirsch, J. C., Lareau, C. A., Bao, E. L., Ludwig, L. S., Guo, M. H., Benner, C., Satpathy, A. T., Kartha, V. K., Salem, R. M., Hirschhorn, J. N., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0362-6 · Cited by 208 · see citing works
The role of BDNF in the pathophysiology and treatment of schizophrenia
Favalli, G. P. D. S., Li, J., Belmonte-de-Abreu, P. S., Wong, A. H. C., & Daskalakis, Z. J. (2011) · Journal of Psychiatric Research · doi:10.1016/j.jpsychires.2011.09.022 · Cited by 197 · see citing works
Fast, sensitive, and accurate integration of single cell data with HarmonyPreprint
Korsunsky, I., Fan, J., Slowikowski, K., et al. (2018) · bioRxiv · doi:10.1101/461954 · Cited by 177 · see citing works
Hormozdiari, F., Gazal, S., van de Geijn, B., Finucane, H. K., Ju, C. J. ‐., Loh, P., Schoech, A. P., Reshef, Y., Liu, X., O’Connor, L. J., et al. (2018) · Nature Genetics · doi:10.1038/s41588-018-0148-2 · Cited by 174 · see citing works
Canto, C. B., Onuki, Y., Bruinsma, B., van der Werf, Y. D., & Zeeuw, C. I. D. (2017) · Trends in Neurosciences · doi:10.1016/j.tins.2017.03.001 · Cited by 168 · see citing works
The Role of BDNF as a Mediator of Neuroplasticity in Bipolar Disorder
Grande, I., Fries, G. R., Kunz, M., & Kapczinski, F. P. (2010) · Psychiatry Investigation · doi:10.4306/pi.2010.7.4.243 · Cited by 161 · see citing works
Progress and promise in understanding the genetic basis of common diseases
Price, A. L., Spencer, C. C. A., & Donnelly, P. (2015) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2015.1684 · Cited by 147 · see citing works
Self-citationMechanisms of tissue and cell-type specificity in heritable traits and diseases
Hekselman, I., & Yeger‐Lotem, E. (2020) · Nature Reviews Genetics · doi:10.1038/s41576-019-0200-9 · Cited by 146 · see citing works
Finucane, H. K., Reshef, Y., Anttila, V., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/103069 · Cited by 136 · see citing works
The Light Response of Retinal Ganglion Cells Is Truncated by a Displaced Amacrine Circuit
Nirenberg, S., & Meister, M. (1997) · Neuron · doi:10.1016/s0896-6273(00)80304-9 · Cited by 134 · see citing works
Inferring relevant cell types for complex traits by using single-cell gene expression
Calderon, D., Bhaskar, A., Knowles, D. A., Golan, D., Raj, T., Fu, A. Q., & Pritchard, J. K. (2017) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2017.09.009 · Cited by 127 · see citing works
Chromatin potential identified by shared single cell profiling of RNA and chromatinPreprint
Ma, S., Zhang, B. M., LaFave, L. M., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.06.17.156943 · Cited by 125 · see citing works
The role of retinal photoreceptors in the regulation of circadian rhythms
Paul, K. N., Saafir, T. B., & Tosini, G. (2009) · Reviews in Endocrine and Metabolic Disorders · doi:10.1007/s11154-009-9120-x · Cited by 113 · see citing works
Toker, L., Mancarci, B. O., Tripathy, S. J., & Pavlidis, P. (2018) · Biological Psychiatry · doi:10.1016/j.biopsych.2018.07.010 · Cited by 113 · see citing works
Reconciling S-LDSC and LDAK functional enrichment estimates
Gazal, S., Márquez‐Luna, C., Finucane, H. K., & Price, A. L. (2019) · Nature Genetics · doi:10.1038/s41588-019-0464-1 · Cited by 109 · see citing works
Time-dependent memory transformation along the hippocampal anterior–posterior axis
Dandolo, L., & Schwabe, L. (2018) · Nature Communications · doi:10.1038/s41467-018-03661-7 · Cited by 97 · see citing works
Mallard, T. T., Linnér, R. K., Grotzinger, A. D., Sanchez‐Roige, S., Seidlitz, J., Okbay, A., de Vlaming, R., Meddens, S. F. W., Palmer, A. A., Davis, L. K., et al. (2022) · Cell Genomics · doi:10.1016/j.xgen.2022.100140 · Cited by 94 · see citing works
Freimer, J. W., Shaked, O., Naqvi, S., Sinnott-Armstrong, N., Kathiria, A. S., Garrido, C. M., Chen, A. F., Cortez, J. T., Greenleaf, W. J., Pritchard, J. K., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01106-y · Cited by 93 · see citing works
Over-inhibition: a model for developmental intellectual disability
Fernandez, F., & Garner, C. C. (2007) · Trends in Neurosciences · doi:10.1016/j.tins.2007.07.005 · Cited by 85 · see citing works
Variant to function mapping at single-cell resolution through network propagation
Yu, F., Cato, L. D., Weng, C., Liggett, L. A., Jeon, S., Xu, K., Chiang, C. W. K., Wiemels, J. L., Weissman, J. S., de Smith, A. J., et al. (2022) · Nature Biotechnology · doi:10.1038/s41587-022-01341-y · Cited by 73 · see citing works
He, H., Mahnke, A. H., Doyle, S., Fan, N., Wang, C.-C., Hall, B. J., Tang, Y., Inglis, F. M., Chen, C., & Erickson, J. D. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.4505-11.2012 · Cited by 64 · see citing works
Framework engineering to produce dominant T cell receptors with enhanced antigen-specific function
Thomas, S., Mohammed, F., Reijmers, R. M., Woolston, A., Stauss, T., Kennedy, A., Stirling, D. R., Holler, A., Green, L., Jones, D. T., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-12441-w · Cited by 61 · see citing works
Genes with High Network Connectivity Are Enriched for Disease Heritability
Kim, S. S., Dai, C. L., Hormozdiari, F., van de Geijn, B., Gazal, S., Park, Y., O’Connor, L. J., Amariuta, T., Loh, P., Finucane, H. K., et al. (2019) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2019.03.020 · Cited by 54 · see citing works
Doğan, B., Erol, M. K., Dogan, U., Habibi, M., Bülbüller, N., Turgut Coban, D., & Bulut, M. N. (2016) · PubMed · Cited by 48 · see citing works
Runge, K., Mathieu, R., Bugeon, S., Lafi, S., Beurrier, C., Sahu, S., Schaller, F., Loubat, A., Hérault, L., Gaillard, S., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01179-x · Cited by 47 · see citing works
Probabilistic fine-mapping of transcriptome-wide association studiesPreprint
Mancuso, N., Kichaev, G., Shi, H., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/236869 · Cited by 46 · see citing works
Mallard, T. T., Linnér, R. K., Grotzinger, A. D., Sanchez‐Roige, S., Seidlitz, J., Okbay, A., de Vlaming, R., Meddens, S. F. W., Palmer, A. A., Davis, L. K., et al. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/603134 · Cited by 37 · see citing works
Hook, P. W., & McCallion, A. S. (2020) · Genome Research · doi:10.1101/gr.256578.119 · Cited by 33 · see citing works
Single cell epigenomic atlas of the developing human brain and organoids
Ziffra, R. S., Kim, C. N., Wilfert, A., Turner, T. N., Haeussler, M., Casella, A. M., Przytycki, P. F., Kreimer, A., Pollard, K. S., Ament, S. A., et al. (2019) · doi:10.1101/2019.12.30.891549 · Cited by 33 · see citing works
Jagadeesh, K. A., Dey, K. K., Montoro, D. T., Mohan, R. R., Gazal, S., Engreitz, J., Xavier, R. J., Price, A. L., & Regev, A. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.03.19.436212 · Cited by 31 · see citing works
Freimer, J. W., Shaked, O., Naqvi, S., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.04.18.440363 · Cited by 29 · see citing works
Zhang, M. J., Hou, K., Paşaniuc, B., et al. (2021) · Research Square · doi:10.21203/rs.3.rs-933790/v1 · Cited by 28 · see citing works
Annotations capturing cell type-specific TF binding explain a large fraction of disease heritability
van de Geijn, B., Finucane, H. K., Gazal, S., Hormozdiari, F., Amariuta, T., Liu, X., Gusev, A., Loh, P., Reshef, Y., Kichaev, G., et al. (2019) · Human Molecular Genetics · doi:10.1093/hmg/ddz226 · Cited by 17 · see citing works
Variant to function mapping at single-cell resolution through network propagationPreprint
Yu, F., Cato, L. D., Weng, C., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.01.23.477426 · Cited by 11 · see citing works
Annotations capturing cell-type-specific TF binding explain a large fraction of disease heritabilityPreprint
van de Geijn, B., Finucane, H. K., Gazal, S., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/474684 · Cited by 6 · see citing works
Erratum GABAergic Interneurons: Implications for Understanding Schizophrenia and Bipolar Disorder⋆
(2001) · Neuropsychopharmacology · doi:10.1016/s0893-133x(01)00295-0 · Cited by 2 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Lyu, P., Hoang, T. V., Santiago, C. P., Thomas, E. D., Timms, A. E., Appel, H., Gimmen, M. Y., Le, N., Jiang, L., Kim, D. W., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109994 · Cited by 137 · see citing works
A multi-omics atlas of the human retina at single-cell resolution
Liang, Q., Cheng, X., Wang, J., Owen, L. A., Shakoor, A., Lillvis, J. L., Zhang, C., Farkas, M. H., Kim, I. K., Li, Y., et al. (2023) · Cell Genomics · doi:10.1016/j.xgen.2023.100298 · Cited by 59 · see citing works
The genetic relationships between brain structure and schizophrenia
Stauffer, E.-M., Bethlehem, R. A. I., Dorfschmidt, L., Won, H., Warrier, V., & Bullmore, E. T. (2023) · Nature Communications · doi:10.1038/s41467-023-43567-7 · Cited by 58 · see citing works
Bonev, B., Castelo‐Branco, G., Chen, F., Codeluppi, S., Corces, M. R., Fan, J., Heiman, M., Harris, K., Inoue, F., Kellis, M., et al. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01806-0 · Cited by 39 · see citing works
Arokiaraj, C. M., Leone, M. J., Kleyman, M., Chamessian, A. G., Noh, M., Phan, B. N., Lopes, B. C., Corrigan, K. A., Cherupally, V. K., Yeramosu, D., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114876 · Cited by 31 · see citing works
A Novel Macrophage Subpopulation Conveys Increased Genetic Risk of Coronary Artery Disease
Jiang, J., Hiron, T. K., Agbaedeng, T. A., Malhotra, Y., Drydale, E., Bancroft, J. M., Ng, E., Reschen, M. E., Davison, L. J., & O’Callaghan, C. A. (2024) · Circulation Research · doi:10.1161/circresaha.123.324172 · Cited by 31 · see citing works
Multiomic single-cell profiling identifies critical regulators of postnatal brain
Clarence, T., Bendl, J. M., Cao, X. D., Wang, X., Zheng, S., Hoffman, G. E., Kozlenkov, A., Hong, A., Iskhakova, M., Jaiswal, M. K., et al. (2025) · Nature Genetics · doi:10.1038/s41588-025-02083-8 · Cited by 20 · see citing works
Shorter, J. R., Pasman, J. A., Kurvits, S., Jangmo, A., Naamanka, J., Harder, A., Hagen, E., Kowalec, K., Frilander, N., Zetterberg, R., et al. (2025) · Nature Genetics · doi:10.1038/s41588-025-02396-8 · Cited by 14 · see citing works
Systems immunology insights into brain metastasis
Dong, W., Sheng, J., Cui, J. Z. M., Zhao, H., & Wong, S. T. C. (2024) · Trends in Immunology · doi:10.1016/j.it.2024.09.010 · Cited by 12 · see citing works
From variants to mechanisms: Neurogenomics in the post-GWAS era
Margolis, M. P., Tang, M., Gagliardi, M., Wen, C. H., Wu, Y., Wray, N. R., Ziller, M. J., & Gandal, M. J. (2025) · Neuron · doi:10.1016/j.neuron.2025.10.014 · Cited by 11 · see citing works
Single-Cell RNA Sequencing and Its Applications in the Study of Psychiatric Disorders
Antunes, A. S. L. M., & Martins‐de‐Souza, D. (2022) · Biological Psychiatry Global Open Science · doi:10.1016/j.bpsgos.2022.03.013 · Cited by 14 · see citing works
The role of astrocytes in attention-deficit hyperactivity disorder: An update
Dury, L. C., Ohki, C. M. Y., Lesch, K., Walitza, S., & Grünblatt, E. (2025) · Psychiatry Research · doi:10.1016/j.psychres.2025.116558 · Cited by 9 · see citing works
Chromatin accessibility provides a window into the genetic etiology of human brain disease
Bendl, J. M., Fullard, J. F., Girdhar, K., Dong, P., Kosoy, R., Zeng, B., Hoffman, G. E., & Roussos, P. (2025) · Trends in Genetics · doi:10.1016/j.tig.2025.01.001 · Cited by 9 · see citing works
Brain region and cell type-specific DNA methylation profiles in association with ADHD
Meijer, M., Sudre, G. P., Ahn, K., Fu, M. P. Y., & Shaw, P. (2025) · Scientific Reports · doi:10.1038/s41598-025-18724-1 · Cited by 9 · see citing works
Clustering single-cell data based on a deep embedded subspace model
Wang, Z., Chen, L., Chen, H., & Wang, X. (2025) · Computational and Applied Mathematics · doi:10.1007/s40314-025-03268-x · Cited by 8 · see citing works
EpiFoundation: A Foundation Model for Single-Cell ATAC-seq via Peak-to-Gene AlignmentPreprint
Wu, J.-C., Wan, C., Ji, Z., Zhou, Y., & Hou, W. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.05.636688 · Cited by 8 · see citing works
Lyu, P., Hoang, T. V., Santiago, C. P., Thomas, E. D., Timms, A. E., Appel, H., Gimmen, M. Y., Le, N., Jiang, L., Kim, D. W., et al. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.07.31.454200 · Cited by 7 · see citing works
Li, X., Shen, A., Fan, L., Zhao, Y., & Xia, J. (2024) · Biological Psychiatry · doi:10.1016/j.biopsych.2024.11.018 · Cited by 6 · see citing works
Marderstein, A. R., Kundu, S., Padhi, E. M., Deshpande, S., Wang, A., Robb, E., Sun, Y., Yun, C. M., Pomales-Matos, D. A., Xie, Y., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.18.638922 · Cited by 6 · see citing works
Lv, L.-Z., Wang, Z.-D., Ren, J.-J., Li, L.-H., Liu, X.-B., Li, J.-L., Zhu, H., Jiang, B., Han, Y.-P., Zhou, X.-M., et al. (2026) · Frontiers in Genetics · doi:10.3389/fgene.2025.1722453 · Cited by 7 · see citing works
Montel Hayes, R., Mason, C. E., & Miller, J. J. (2025) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2025.1671122 · Cited by 5 · see citing works
Alsoqih, N. S., Elmorsy, E. A., Abu‐Khudir, R., Saber, S., Keshk, N., Elnaghy, F., Hamad, R. S., El-kott, A. F., Negm, S., AlShehri, M. A., et al. (2025) · The FASEB Journal · doi:10.1096/fj.202501829rr · Cited by 4 · see citing works
The relationship between vitamin D levels and depression: a genetically informed study
Lyu, H., Kang, L., Gong, Q., Xie, X., Ma, S., Yao, L., Chen, M., Zhang, L., Yu, H., Wang, X., et al. (2025) · Nutrition Journal · doi:10.1186/s12937-025-01199-1 · Cited by 5 · see citing works
Zhang, W., Xu, Y., Zheng, X., Shen, J., & Li, Y. (2024) · Briefings in Bioinformatics · doi:10.1093/bib/bbae572 · Cited by 4 · see citing works
Xue, B., Niu, M., Sun, Y., Wang, L., Wu, C., Ding, Y., Wang, B., Peng, L., Li, X., Song, H., et al. (2025) · SLEEP · doi:10.1093/sleep/zsaf317 · Cited by 6 · see citing works
Research progress of single cell RNA sequencing in nervous system
Hu, L., Qi, L., Lin, Z., Zhu, J., & Zhang, M. (2025) · Molecular Biology Reports · doi:10.1007/s11033-025-11155-1 · Cited by 3 · see citing works
The transformative role of single-cell analysis in multifactorial disorders research
Wang, C., Ko, C.-C., Kumar, S., Xuan, D. T. M., Lin, H.-R., Lee, Y.-K., Nguyen, N. U. N., Pei-Ming, Y., & Solomon, D. D. (2026) · Methods · doi:10.1016/j.ymeth.2026.03.009 · Cited by 3 · see citing works
An effective global structure-aware feature aggregation network for multi-modal medical clustering
Guan, R., Quan, H., Li, D., & Hu, D. (2025) · Expert Systems with Applications · doi:10.1016/j.eswa.2025.126835 · Cited by 3 · see citing works
Zhao, Y., Zhou, R. R., Mu, Z., Carbonetto, P. S., Zhong, X., Xie, B., Luo, K., Cham, C. M., Koval, J., He, X., et al. (2024) · medRxiv · doi:10.1101/2024.12.10.24318718 · Cited by 3 · see citing works
Catching, A., Weller, C. A., Hu, F., Bromberek, S., Abbas, S., Daida, K., Malik, L., Baker, B., Auluck, P. K., Screven, L. A., et al. (2026) · Cell Reports · doi:10.1016/j.celrep.2026.117110 · Cited by 4 · see citing works
scCorrect: Cross-modality label transfer from scRNA-seq to scATAC-seq using domain adaptation
Liu, Y., Pei, W., Chen, L., Xia, Y., Yan, H., & Hu, X. (2025) · Analytical Biochemistry · doi:10.1016/j.ab.2025.115847 · Cited by 2 · see citing works
Lyu, P., Hoang, T. V., Santiago, C. P., Thomas, E. D., Timms, A. E., Appel, H., Gimmen, M. Y., Le, N., Jiang, L., Kim, D. W., et al. (2021) · SSRN Electronic Journal · doi:10.2139/ssrn.3921283 · Cited by 3 · see citing works
An Integrated Single-Cell and Epigenomic Resource for Comparative Analysis of the Basal GangliaPreprint
Zhang, W., Ding, W., Li, K., Chang, L., Klein, A., Báez-Becerra, C. T., Rink, J. A., Bartlett, A., Chen, H., Schenker-Ahmed, N. M., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.29.702575 · Cited by 3 · see citing works
Characterising processing conditions that artifactually bias human brain tissue transcriptomes
Yaqubi, M., Thomas, M., Talbot-Martin, J., Mohammadnia, A., Allot, A., Groh, A. M. R., Fancy, N. N., Papageorgopoulou, M., Zhang, X., McGarry, A., et al. (2026) · Nature Communications · doi:10.1038/s41467-026-68872-9 · Cited by 2 · see citing works
CRISPR-Enabled functional genomics in hPSCs-derived neural models for autism spectrum disorder
Gopukumar, S. T., Saha, M., Soni, T. K., Alatwi, E. S., Khan, G. A., Asad, M. R., Shamshad, S., Tadakod, S., Sharma, A., & Das, U. (2026) · Metabolic Brain Disease · doi:10.1007/s11011-026-01968-9 · Cited by 1 · see citing works
Jiang, J., Hiron, T. K., Agbaedeng, T. A., Malhotra, Y., Drydale, E., Bancroft, J. M., Ng, E., Reschen, M. E., Davison, L. J., & O’Callaghan, C. A. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.09.14.557845 · Cited by 1 · see citing works
Multi-omics insights in major depressive disorder: Dysfunction of NeuronsPreprint
Zhang, L., Lv, H., Ma, S., Xu, Y., Xie, X., Gong, Q., Kang, L., Chen, S., & Liu, Z. (2025) · medRxiv · doi:10.1101/2025.05.03.25326369
Functional enhancers: concept, screening, and validation
Lin, H., Chen, F., & Huang, J. (2025) · Scientia Sinica Vitae · doi:10.1360/ssv-2025-0113
Huang, Y.-F., & Huang, K.-L. (2026) · Journal of Translational Medicine · doi:10.1186/s12967-026-08266-z
Carver, S., Taraszka, K., Groha, S., & Gusev, A. (2025) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2025.100538
Prokop, J. W., Bilinovich, S. M., Tokarski, E., Vishweswaraiah, S., Vanderweele, S., Das, A. S., Chhetri, S. B., Dao, A., Arora, S., Goodyke, A., et al. (2025) · Function · doi:10.1152/function.019.2025
Single-Cell Multi-Omics Insights into BMI-Mediated Immune-Related Disease RiskPreprint
Huang, Z., Xu, Z., Yang, H., Zheng, Y., Zhou, W., Guan, B., Zeng, Y., Zhang, J., Yin, P., Liu, C., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.01.12.698924
Multi-omics analysis reveals CXCL14+ inhibitory neuron dysfunction in major depressive disorder
Zhang, L., Duan, H., Lyu, H., Ma, S., Xu, Y., Xie, X., Gong, Q., Kang, L., Chen, S., & Liu, Z. (2026) · Journal of Affective Disorders · doi:10.1016/j.jad.2026.121586
Liu, J., Liu, J., Fan, Y., Liu, C., Cao, J., Ma, H., Hou, Y., Gao, S., & Wang, P. (2026) · Journal of Translational Medicine · doi:10.1186/s12967-026-08098-x
Yu, L., Deary, L. T., Liu, Q.-L., Zhang, Q.-R., & Zhao, S.-M. (2026) · bioRxiv · doi:10.64898/2026.04.27.721080
Decoding causal m6A: a bioinformatics roadmap for psychiatric disorders
Liu, S., Zhao, X., Wei, Z. C., Carr, D. F., & Moraros, J. (2026) · Briefings in Bioinformatics · doi:10.1093/bib/bbag251
Chen, M., Zhang, R., Chen, Z., Wu, K., Wang, H., & Yu, H. (2026) · Frontiers in Neurology · doi:10.3389/fneur.2026.1815799
Felici, B., Chen, S., Yuan, M., Jiang, X., Ip, S. H. Y., Rudd, J. H. F., & Inouye, M. (2026) · Cell Genomics · doi:10.1016/j.xgen.2026.101282
Wang, J., Ma, H., Jilo, D. D., Abebe, B. K., Guo, J., Li, Y., Diao, X., Badaoui, B., Su, R., & Liu, Y. (2026) · Animals · doi:10.3390/ani16131948
Zhu, W., Wu, X., & Hu, R. (2026) · PLoS ONE · doi:10.1371/journal.pone.0355339
Human genetic risk for major depressive disorder implicates motor cortex PVALB⁺ inhibitory neuronsPreprint
Ma, Y., Han, H., Chen, C., Huang, X., Gao, C., Dai, W., Qiu, F., Li, J., Zhou, Y., Jiang, D., et al. (2026) · medRxiv · doi:10.64898/2026.09.08.26362568
Gao, Y., Li, Z.-K., Li, H.-N., Hu, J.-Z., Du, X.-Z., Yan, X., & Liu, S. (2026) · Frontiers in Immunology · doi:10.3389/fimmu.2026.1944035
Zhao, Y. N., Zhou, R., Mu, Z., Carbonetto, P. S., Zhong, X., Xie, B., Luo, K., Jiang, Z., Liu, J., Cham, C. M., et al. (2026) · Nature Genetics · doi:10.1038/s41588-026-02755-z · Cited by 2 · see citing works
Ramcharan, H. K., Sami, Y. N., Hazel, K., Okeke, C., Barnard, Z., Hoang, A. T., McCallum, S., Apere, C., Du, W., Madden, M., et al. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.09.18.752151
MEIJER, M., & Kobor, M. S. (2026) · Handbook of clinical neurology · doi:10.1016/b978-0-443-19043-8.00001-3
Measuring histone modifications across different cell types in the central nervous system
Warhaftig, G., Fiori, L. M., & TURECKI, G. (2026) · Handbook of clinical neurology · doi:10.1016/b978-0-443-19043-8.00010-4
- Authors
- Kim, S. S., Truong, B., Jagadeesh, K., Dey, K. K., Shen, A. Z., Raychaudhuri, S., Kellis, M., & Price, A. L.
- Affiliations
- Harvard University (US)
- Broad Institute (US)
- Memorial Sloan Kettering Cancer Center (US)
- Massachusetts Institute of Technology (US)
- Brigham and Women's Hospital (US)
- Corresponding author
- Kim, Samuel S.
- Truong, Buu
- Price, Alkes L.
- ORCID
- Venue
- Nature Communications
- Published
- 2024-01-17
- Volume
- 15
- Issue
- 1
- Pages
- 563-563
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC10794712
- OpenAlex
- W4390946851
- Cited by
- 56
- References
- 90
- Citations by year
- 2026: 22 · 2025: 20 · 2024: 7 · 2023: 3 · 2022: 1 · 2021: 3
- FWCI
- 6.65
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- National Institutes of Health (16549, CA008748, MH107649)
- National Institute of Mental Health (U01MH119509, R01MH109978, R37MH107649, R01MH101244, R01MH115676)
- National Human Genome Research Institute (HG009379, MH101244, F31HG010818, R01HG006399, HG006399, U01HG009379, R00HG012203, T32HG002295, U01HG012009, R56HG013083)
- National Cancer Institute (P30CA008748)
- National Institute of Allergy and Infectious Diseases (P01AI148102)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Keywords
- brain cell types, chromatin accessibility, gene expression, GWAS summary statistics, fetal brain, adult brain, major depressive disorder, photoreceptors, ganglion cells, astrocytes, attention deficit hyperactivity disorder, schizophrenia, body mass index
- MeSH terms
- Chromatin Immunoprecipitation Sequencing, RNA-Seq, Brain, Chromatin, Major Depressive Disorder, Humans, Genome-Wide Association Study, Single-Cell Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review