Controlling the false discovery rate in behavior genetics research

Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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The control of the false discovery rate in multiple testing under dependency

Benjamini, Y., & Yekutieli, D. (2001) · The Annals of Statistics · doi:10.1214/aos/1013699998 · Cited by 10,490 · see citing works

Genetics of Mouse Behavior: Interactions with Laboratory Environment

Crabbe, J. C., Wahlsten, D., & Dudek, B. C. (1999) · Science · doi:10.1126/science.284.5420.1670 · Cited by 1,666 · see citing works

On the adaptive control of the false discovery rate in multiple testing with independent statistics

Benjamini, Y., & Hochberg, Y. (2000) · Journal of Educational and Behavioral Statistics · doi:10.3102/10769986025001060 · Cited by 1,349 · see citing works

Multiple Comparisons

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Resampling-based false discovery rate controlling multiple test procedures for correlated test statistics

Yekutieli, D., & Benjamini, Y. (1999) · Journal of Statistical Planning and Inference · doi:10.1016/s0378-3758(99)00041-5 · Cited by 738 · see citing works

Multiple Comparisons Procedures

Cabral, H. (2008) · Circulation · doi:10.1161/circulationaha.107.700971 · Cited by 312 · see citing works

A step-down multiple hypotheses testing procedure that controls the false discovery rate under independence

Benjamini, Y., & Liu, W. (1999) · Journal of Statistical Planning and Inference · doi:10.1016/s0378-3758(99)00040-3 · Cited by 242 · see citing works

Controlling Error in Multiple Comparisons, with Examples from State-to-State Differences in Educational Achievement

Williams, V. S. L., Jones, L. V., & Tukey, J. W. (1999) · Journal of Educational and Behavioral Statistics · doi:10.3102/10769986024001042 · Cited by 188 · see citing works

Controlling Error in Multiple Comparisons, with Examples from State-to-State Differences in Educational Achievement

Williams, V. S. L., Jones, L. V., & Tukey, J. W. (1999) · Journal of Educational and Behavioral Statistics · doi:10.2307/1165261 · Cited by 186 · see citing works

A New Approach to the Problem of Multiple Comparisons in the Genetic Dissection of Complex Traits

Weller, J. I., Song, J. Z., Heyen, D. W., Lewin, H. A., & Ron, M. (1998) · Genetics · doi:10.1093/genetics/150.4.1699 · Cited by 179 · see citing works

Adaptive thresholding of wavelet coefficients

Abramovich, F., & Benjamini, Y. (1996) · Computational Statistics & Data Analysis · doi:10.1016/0167-9473(96)00003-5 · Cited by 176 · see citing works

Rats and mice share common ethologically relevant parameters of exploratory behavior

Drai, D., Kafkafi, N., Benjamini, Y., Elmer, G. I., & Golani, I. (2001) · Behavioural Brain Research · doi:10.1016/s0166-4328(01)00290-x · Cited by 130 · see citing works

The pairwise multiple comparison multiplicity problem: An alternative approach to familywise and comparison wise Type I error control.

Keselman, H. J., Cribbie, R. A., & Holland, B. S. (1999) · Psychological Methods · doi:10.1037/1082-989x.4.1.58 · Cited by 101 · see citing works

Functional connectivity in depressive, obsessive–compulsive, and schizophrenic disorders: an explorative correlational analysis of regional cerebral metabolism

Mallet, L., Mazoyer, B. M., & Martinot, J. (1998) · Psychiatry Research Neuroimaging · doi:10.1016/s0925-4927(98)00011-0 · Cited by 49 · see citing works

Stepwise normal theory multiple test procedures controlling the false discovery rate

Troendle, J. F. (2000) · Journal of Statistical Planning and Inference · doi:10.1016/s0378-3758(99)00145-7 · Cited by 49 · see citing works

Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles

Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625 · see citing works

B cells and tertiary lymphoid structures promote immunotherapy response

Helmink, B. A., Reddy, S. M., Gao, J., Zhang, S., Basar, R., Thakur, R., Yizhak, K., Sade-Feldman, M., Blando, J., Han, G., et al. (2020) · Nature · doi:10.1038/s41586-019-1922-8 · Cited by 2,731 · see citing works

Tumor Microbiome Diversity and Composition Influence Pancreatic Cancer Outcomes

Riquelme, E., Zhang, Y., Zhang, L., Montiel, M., Zoltan, M., Dong, W., Quesada, P., Sahin, I., Chandra, V., San Lucas, A., et al. (2019) · Cell · doi:10.1016/j.cell.2019.07.008 · Cited by 1,577 · see citing works

Catalytic in vivo protein knockdown by small-molecule PROTACs

Bondeson, D. P., Mares, A., Smith, I. E. D., Ko, E., Campos, S., Miah, A. H., Mulholland, K. E., Routly, N., Buckley, D. L., Gustafson, J. L., et al. (2015) · Nature Chemical Biology · doi:10.1038/nchembio.1858 · Cited by 1,356 · see citing works

Microbial reconstitution reverses maternal diet-induced social and synaptic deficits in offspring

Buffington, S. A., Di Prisco, G. V., Auchtung, T. A., Ajami, N. J., Petrosino, J. F., & Costa-Mattioli, M. (2016) · Cell · doi:10.1016/j.cell.2016.06.001 · Cited by 1,163 · see citing works

Mechanisms underlying microbial-mediated changes in social behavior in mouse models of autism spectrum disorder

Sgritta, M., Dooling, S. W., Buffington, S. A., Momin, E. N., Francis, M. B., Britton, R. A., & Costa-Mattioli, M. (2019) · Neuron · doi:10.1016/j.neuron.2018.11.018 · Cited by 865 · see citing works

Single-cell transcriptomic profiling of the aging mouse brain

Ximerakis, M., Lipnick, S. L., Innes, B. T., Simmons, S. K., Adiconis, X., Dionne, D., Mayweather, B. A., Nguyen, L., Niziolek, Z., Ozek, C., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0491-3 · Cited by 736 · see citing works

WNT/β-catenin pathway activation correlates with immune exclusion across human cancers

Luke, J. J., Bao, R., Sweis, R. F., Spranger, S., & Gajewski, T. F. (2019) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-18-1942 · Cited by 722 · see citing works

Nrf2 Activation Promotes Lung Cancer Metastasis by Inhibiting the Degradation of Bach1

Lignitto, L., LeBoeuf, S. E., Homer, H., Jiang, S., Askenazi, M., Karakousi, T. R., Pass, H. I., Bhutkar, A. J., Tsirigos, A., Ueberheide, B., et al. (2019) · Cell · doi:10.1016/j.cell.2019.06.003 · Cited by 573 · see citing works

Gene Microarrays in Hippocampal Aging: Statistical Profiling Identifies Novel Processes Correlated with Cognitive Impairment

Blalock, E. M., Chen, K.-C., Sharrow, K., Herman, J. P., Porter, N. M., Foster, T. C., & Landfield, P. W. (2003) · The Journal of Neuroscience · doi:10.1523/jneurosci.23-09-03807.2003 · Cited by 570 · see citing works

Parkin-deficient mice are not a robust model of parkinsonism

Perez, F. A., & Palmiter, R. D. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0409598102 · Cited by 477 · see citing works

Distinct neural signatures detected for ADHD subtypes after controlling for micro-movements in resting state functional connectivity MRI data

Fair, D. A., Nigg, J. T., Iyer, S., Bathula, D., Mills, K. L., Dosenbach, N. U. F., Schlaggar, B. L., Mennes, M., Gutman, D., Bangaru, S., et al. (2013) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2012.00080 · Cited by 463 · see citing works

Prenatal exposure to maternal smoking and offspring DNA methylation across the lifecourse: findings from the Avon Longitudinal Study of Parents and Children (ALSPAC)

Richmond, R. C., Simpkin, A. J., Woodward, G., Gaunt, T. R., Lyttleton, O., McArdle, W. L., Ring, S. M., Smith, A. D. A. C., Timpson, N. J., Tilling, K., et al. (2015) · Human Molecular Genetics · doi:10.1093/hmg/ddu739 · Cited by 372 · see citing works

Hepatitis C virus infection protein network

de Chassey, B., Navratil, V, Tafforeau, L., Hiet, M. S., Aublin‐Gex, A., Agaugué, S., Meiffren, G., Pradezynski, F., Faria, B. F., Chantier, T., et al. (2008) · Molecular Systems Biology · doi:10.1038/msb.2008.66 · Cited by 384 · see citing works

CHD8 haploinsufficiency results in autistic-like phenotypes in mice

Katayama, Y., Nishiyama, M., Shoji, H., Ohkawa, Y., Kawamura, A., Sato, T., Suyama, M., Takumi, T., Miyakawa, T., & Nakayama, K. I. (2016) · Nature · doi:10.1038/nature19357 · Cited by 353 · see citing works

Atypical default network connectivity in youth with attention-deficit/hyperactivity disorder

Fair, D. A., Posner, J., Nagel, B. J., Bathula, D., Dias, T. G. C., Mills, K. L., Blythe, M. S., Giwa, A., Schmitt, C. F., & Nigg, J. T. (2010) · Biological Psychiatry · doi:10.1016/j.biopsych.2010.07.003 · Cited by 354 · see citing works

Dosage-dependent phenotypes in models of 16p11.2 lesions found in autism

Horev, G., Ellegood, J., Lerch, J. P., Son, Y.-E. E., Muthuswamy, L., Vogel, H., Krieger, A. M., Buja, A., Henkelman, R. M., Wigler, M., et al. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1114042108 · Cited by 330 · see citing works

Dietary nutrients associated with short and long sleep duration. Data from a nationally representative sample

Grandner, M. A., Jackson, N., Gerstner, J. R., & Knutson, K. L. (2013) · Appetite · doi:10.1016/j.appet.2013.01.004 · Cited by 310 · see citing works

Racioethnic diversity in the dynamics of the vaginal microbiome during pregnancy

Serrano, M. G., Parikh, H. I., Brooks, J. P., Edwards, D. J., Arodz, T. J., Edupuganti, L., Huang, B., Girerd, P. H., Bokhari, Y. A., Bradley, S. P., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0465-8 · Cited by 300 · see citing works

Polymorphisms in Inflammation-Related Genes Are Associated with Susceptibility to Major Depression and Antidepressant Response

Wong, M.-L., Dong, C., Maestre-Mesa, J., & Licinio, J. (2008) · Molecular Psychiatry · doi:10.1038/mp.2008.59 · Cited by 295 · see citing works

Prenatal stress-induced alterations in major physiological systems correlate with gut microbiota composition in adulthood

Golubeva, A. V., Crampton, S., Desbonnet, L., Edge, D., O'Sullivan, O., Lomasney, K. W., Zhdanov, A. V., Crispie, F., Moloney, R. D., Borre, Y. E., et al. (2015) · Psychoneuroendocrinology · doi:10.1016/j.psyneuen.2015.06.002 · Cited by 283 · see citing works

Beyond the Tripartite Cognition–Emotion–Interoception Model of the Human Insular Cortex

Uddin, L. Q., Kinnison, J., Pessoa, L., & Anderson, M. L. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00462 · Cited by 275 · see citing works

Comparing Apples and Oranges?: Next Generation Sequencing and Its Impact on Microbiome Analysis

Clooney, A. G., Fouhy, F., Sleator, R. D., O’ Driscoll, A., Stanton, C., Cotter, P. D., & Claesson, M. J. (2016) · PLOS ONE · doi:10.1371/journal.pone.0148028 · Cited by 270 · see citing works

Voluntary and forced exercise differentially alters the gut microbiome in C57BL/6J mice

Allen, J. M., Berg Miller, M. E., Pence, B. D., Whitlock, K., Nehra, V., Gaskins, H. R., White, B. A., Fryer, J. D., & Woods, J. A. (2015) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01077.2014 · Cited by 266 · see citing works

An unbiased ranking of murine dietary models based on their proximity to human metabolic dysfunction-associated steatotic liver disease (MASLD)

Vacca, M., Kamzolas, I., Harder, L. M., Oakley, F., Trautwein, C., Hatting, M., Ross, T., Bernardo, B., Oldenburger, A., Hjuler, S. T., et al. (2024) · Nature Metabolism · doi:10.1038/s42255-024-01043-6 · Cited by 262 · see citing works

Immune gene signatures for predicting durable clinical benefit of anti-PD-1 immunotherapy in patients with non-small cell lung cancer

Hwang, S., Kwon, A.-Y., Jeong, J.-Y., Kim, S., Kang, H., Park, J., Kim, J.-H., Han, O. J., Lim, S. M., & An, H. J. (2020) · Scientific Reports · doi:10.1038/s41598-019-57218-9 · Cited by 215 · see citing works

Electrical stimulation of the left and right human fusiform gyrus causes different effects in conscious face perception

Rangarajan, V., Hermes, D., Foster, B. L., Weiner, K. S., Jacques, C., Grill-Spector, K., & Parvizi, J. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.0527-14.2014 · Cited by 226 · see citing works

Intestinal Microbiota in Healthy U.S. Young Children and Adults—A High Throughput Microarray Analysis

Ringel-Kulka, T., Cheng, J., Ringel, Y., Salojärvi, J., Carroll, I., Palva, A., de Vos, W. M., & Satokari, R. (2013) · PLoS ONE · doi:10.1371/journal.pone.0064315 · Cited by 230 · see citing works

Distinct gut microbiome patterns associate with consensus molecular subtypes of colorectal cancer

Purcell, R. V., Visnovska, M., Biggs, P. J., Schmeier, S., & Frizelle, F. A. (2017) · Scientific Reports · doi:10.1038/s41598-017-11237-6 · Cited by 227 · see citing works

Relationships among dietary nutrients and subjective sleep, objective sleep, and napping in women

Grandner, M. A., Kripke, D. F., Naidoo, N., & Langer, R. D. (2010) · Sleep Medicine · doi:10.1016/j.sleep.2009.07.014 · Cited by 219 · see citing works

Reproducibility and replicability of rodent phenotyping in preclinical studies

Kafkafi, N., Agassi, J., Chesler, E. J., Crabbe, J. C., Crusio, W. E., Eilam, D., Gerlai, R., Golani, I., Gomez-Marin, A., Heller, R., et al. (2018) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2018.01.003 · Cited by 215 · see citing works

Integrating the environmental and genetic architectures of aging and mortality

Argentieri, M. A., Amin, N., Nevado-Holgado, A. J., Sproviero, W., Collister, J. A., Keestra, S. M., Kuilman, M. M., Ginos, B. N. R., Ghanbari, M., Doherty, A., et al. (2025) · Nature Medicine · doi:10.1038/s41591-024-03483-9 · Cited by 211 · see citing works

Autism Spectrum Disorder and Autistic Traits in the Avon Longitudinal Study of Parents and Children: Precursors and Early Signs

Bolton, P. F., Golding, J., Emond, A., & Steer, C. D. (2012) · Journal of the American Academy of Child & Adolescent Psychiatry · doi:10.1016/j.jaac.2011.12.009 · Cited by 193 · see citing works

Commensal bacteria contribute to insulin resistance in aging by activating innate B1a cells

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How accurate are digital symptom assessment apps for suggesting conditions and urgency advice? A clinical vignettes comparison to GPs

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Cutting Edge: A Transcriptional Repressor and Corepressor Induced by the STAT3-Regulated Anti-Inflammatory Signaling Pathway

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Altered enteric microbiota ecology in interleukin 10-deficient mice during development and progression of intestinal inflammation

Maharshak, N., Packey, C. D., Ellermann, M., Manick, S., Siddle, J. P., Huh, E. Y., Plevy, S., Sartor, R. B., & Carroll, I. M. (2013) · Gut Microbes · doi:10.4161/gmic.25486 · Cited by 174 · see citing works

Heart cycle-related effects on event-related potentials, spectral power changes, and connectivity patterns in the human ECoG

Kern, M., Aertsen, A., Schulze-Bonhage, A., & Ball, T. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.05.042 · Cited by 153 · see citing works

A comparison of the gut microbiome between long‐term users and non‐users of proton pump inhibitors

Clooney, A. G., Bernstein, C. N., Leslie, W. D., Vagianos, K., Sargent, M., Laserna‐Mendieta, E. J., Claesson, M. J., & Targownik, L. E. (2016) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.13568 · Cited by 166 · see citing works

Meta-analysis of the Association Between Variants in SORL1 and Alzheimer Disease

Reitz, C. (2011) · Archives of Neurology · doi:10.1001/archneurol.2010.346 · Cited by 162 · see citing works

Enhanced habit formation in Gilles de la Tourette syndrome

Delorme, C., Salvador, A., Valabrègue, R., Roze, E., Palminteri, S., Vidailhet, M., de Wit, S., Robbins, T., Hartmann, A., & Worbe, Y. (2016) · Brain · doi:10.1093/brain/awv307 · Cited by 154 · see citing works

Delayed Correlation of mRNA and Protein Expression in Rapamycin-treated Cells and a Role for Ggc1 in Cellular Sensitivity to Rapamycin

Fournier, M. L., Paulson, A., Pavelka, N., Mosley, A. L., Gaudenz, K., Bradford, W. D., Glynn, E., Li, H., Sardiu, M. E., Fleharty, B., et al. (2010) · Molecular & Cellular Proteomics · doi:10.1074/mcp.m900415-mcp200 · Cited by 161 · see citing works

Altered hippocampal transcript profile accompanies an age-related spatial memory deficit in mice

Verbitsky, M., Yonan, A. L., Malleret, G., Kandel, E. R., Gilliam, T. C., & Pavlidis, P. (2004) · Learning & Memory · doi:10.1101/lm.68204 · Cited by 158 · see citing works

Effect of combination therapy with thyroxine (T4) and 3,5,3′-triiodothyronine versus T4 monotherapy in patients with hypothyroidism, a double-blind, randomised cross-over study

Nygaard, B., Jensen, E. W., Kvetny, J., Jarløv, A., & Faber, J. (2009) · European Journal of Endocrinology · doi:10.1530/eje-09-0542 · Cited by 153 · see citing works

Duodenal microbiota composition and mucosal homeostasis in pediatric celiac disease

Cheng, J., Kalliomäki, M., Heilig, H. G., Palva, A., Lähteenoja, H., de Vos, W. M., Salojärvi, J., & Satokari, R. (2013) · BMC Gastroenterology · doi:10.1186/1471-230x-13-113 · Cited by 152 · see citing works

Effect of bifidobacterium breve A-1 on anxiety and depressive symptoms in schizophrenia: A proof-of-concept study

Okubo, R., Koga, M., Katsumata, N., Odamaki, T., Matsuyama, S., Oka, M., Narita, H., Hashimoto, N., Kusumi, I., Xiao, J., et al. (2019) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.11.011 · Cited by 149 · see citing works

Topologically convergent and divergent functional connectivity patterns in unmedicated unipolar depression and bipolar disorder

Wang, Y., Wang, J., Jia, Y., Zhong, S., Zhong, M., Sun, Y., Niu, M., Zhao, L., Zhao, L., Pan, J., et al. (2017) · Translational Psychiatry · doi:10.1038/tp.2017.117 · Cited by 133 · see citing works

Interaction Between <emph type="ital">FKBP5</emph> and Childhood Trauma and Risk of Aggressive Behavior

Bevilacqua, L. (2012) · Archives of General Psychiatry · doi:10.1001/archgenpsychiatry.2011.152 · Cited by 137 · see citing works

Hepatic circadian clock oscillators and nuclear receptors integrate microbiome-derived signals

Montagner, A., Korecka, A., Polizzi, A., Lippi, Y., Blum, Y., Canlet, C., Tremblay-Franco, M., Gautier-Stein, A., Burcelin, R., Yen, Y.-C., et al. (2016) · Scientific Reports · doi:10.1038/srep20127 · Cited by 137 · see citing works

Self, mother and abstract other: an fMRI study of reflective social processing

Vanderwal, T., Hunyadi, E., Grupe, D. W., Connors, C. M., & Schultz, R. T. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2008.03.058 · Cited by 134 · see citing works

Systematic analysis of gene expression patterns associated with postmortem interval in human tissues

Zhu, Y., Wang, L., Yin, Y., & Yang, E. (2017) · Scientific Reports · doi:10.1038/s41598-017-05882-0 · Cited by 129 · see citing works

Serotonin Depletion Induces ‘Waiting Impulsivity’ on the Human Four-Choice Serial Reaction Time Task: Cross-Species Translational Significance

Worbe, Y., Savulich, G., Voon, V., Fernandez-Egea, E., & Robbins, T. W. (2014) · Neuropsychopharmacology · doi:10.1038/npp.2013.351 · Cited by 125 · see citing works

The SENSE study: Post intervention effects of a randomized controlled trial of a cognitive-behavioral and mindfulness-based group sleep improvement intervention among at-risk adolescents

Blake, M., Waloszek, J. M., Schwartz, O., Raniti, M., Simmons, J. G., Blake, L., Murray, G., Dahl, R. E., Bootzin, R., Dudgeon, P., et al. (2016) · Journal of Consulting and Clinical Psychology · doi:10.1037/ccp0000142 · Cited by 114 · see citing works

Discrete Distributional Differential Expression (D ³ E) - A Tool for Gene Expression Analysis of Single-cell RNA-seq Data

Delmans, M., & Hemberg, M. (2015) · doi:10.1101/020735 · Cited by 111 · see citing works

Cortical Control of Affective Networks

Kumar, S., Black, S. J., Hultman, R., Szabo, S. T., DeMaio, K. D., Du, J., Katz, B. M., Feng, G., Covington, H. E., & Dzirasa, K. (2013) · The Journal of Neuroscience · doi:10.1523/jneurosci.0092-12.2013 · Cited by 110 · see citing works

Association of dietary fibre intake and gut microbiota in adults

Lin, D., Peters, B. A., Friedlander, C., Freiman, H. J., Goedert, J. J., Sinha, R., Miller, G., Bernstein, M. A., Hayes, R. B., & Ahn, J. (2018) · British Journal of Nutrition · doi:10.1017/s0007114518002465 · Cited by 109 · see citing works

Four Core Genotypes mouse model: localization of the Sry transgene and bioassay for testicular hormone levels

Itoh, Y., Mackie, R., Kampf, K., Domadia, S., Brown, J. D., O’Neill, R., & Arnold, A. P. (2015) · BMC Research Notes · doi:10.1186/s13104-015-0986-2 · Cited by 109 · see citing works

Multi-polygenic score approach to identifying individual vulnerabilities associated with the risk of exposure to bullying

Schoeler, T., Choi, S. W., Dudbridge, F., Baldwin, J., Duncan, L., Cecil, C. M., Walton, E., Viding, E., McCrory, E., & Pingault, J.-B. (2019) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2019.0310 · Cited by 105 · see citing works

Glucocorticoid receptor DNA methylation, childhood maltreatment and major depression

Bustamante, A. C., Aiello, A. E., Galea, S., Ratanatharathorn, A., Noronha, C., Wildman, D. E., & Uddin, M. (2016) · Journal of Affective Disorders · doi:10.1016/j.jad.2016.07.038 · Cited by 104 · see citing works

Pregnancy and adolescence entail similar neuroanatomical adaptations: a comparative analysis of cerebral morphometric changes

Carmona, S., Martínez‐García, M., Paternina‐Die, M., Barba‐Müller, E., Wierenga, L. M., Alemán‐Gómez, Y., Pretus, C., Marcos‐Vidal, L., Beumala, L., Cortizo, R., et al. (2019) · Human Brain Mapping · doi:10.1002/hbm.24513 · Cited by 95 · see citing works

Validation and quality control of replacement alternatives - current status and future challenges

Leist, M., Hasiwa, N., Daneshian, M., & Hartung, T. (2012) · Toxicology Research · doi:10.1039/c2tx20011b · Cited by 100 · see citing works

Intrahepatic IL-8 producing Foxp3+CD4+ regulatory T cells and fibrogenesis in chronic hepatitis C

Langhans, B., Krämer, B., Louis, M., Nischalke, H. D., Hüneburg, R., Staratschek-Jox, A., Odenthal, M., Manekeller, S., Schepke, M., Kalff, J., et al. (2013) · Journal of Hepatology · doi:10.1016/j.jhep.2013.04.011 · Cited by 89 · see citing works

Airway Epithelial Cells Regulate the Functional Phenotype of Locally Differentiating Dendritic Cells: Implications for the Pathogenesis of Infectious and Allergic Airway Disease

Rate, A., Upham, J. W., Bosco, A., McKenna, K. L., & Holt, P. G. (2009) · The Journal of Immunology · doi:10.4049/jimmunol.182.1.72 · Cited by 88 · see citing works

Lithium Ameliorates Nucleus Accumbens Phase-Signaling Dysfunction in a Genetic Mouse Model of Mania

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Leptin stimulates bone formation in ob/ob mice at doses having minimal impact on energy metabolism

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Why cognitive performance in ADHD may not reveal true potential: Findings from a large population-based sample

KUNTSI, J., WOOD, A. C., VAN DER MEERE, J., & ASHERSON, P. (2009) · Journal of the International Neuropsychological Society · doi:10.1017/s135561770909081x · Cited by 80 · see citing works

The Transcription Factors Grainyhead-like 2 and NK2-Homeobox 1 Form a Regulatory Loop That Coordinates Lung Epithelial Cell Morphogenesis and Differentiation

Varma, S., Cao, Y., Tagne, J.-B., Lakshminarayanan, M., Li, J., Friedman, T. B., Morell, R. J., Warburton, D., Kotton, D. N., & Ramirez, M. I. (2012) · Journal of Biological Chemistry · doi:10.1074/jbc.m112.408401 · Cited by 79 · see citing works

Gestational Perfluoroalkyl Substance Exposure and DNA Methylation at Birth and 12 Years of Age: A Longitudinal Epigenome-Wide Association Study

Liu, Y., Eliot, M. N., Papandonatos, G. D., Kelsey, K. T., Fore, R., Langevin, S., Buckley, J., Chen, A., Lanphear, B. P., Cecil, K. M., et al. (2022) · Environmental Health Perspectives · doi:10.1289/ehp10118 · Cited by 78 · see citing works

DRD2 and PPP1R1B (DARPP-32) polymorphisms independently confer increased risk for autism spectrum disorders and additively predict affected status in male-only affected sib-pair families

Hettinger, J. A., Liu, X., Hudson, M. L., Lee, A., Cohen, I. L., Michaelis, R. C., Schwartz, C. E., Lewis, S. M., & Holden, J. J. (2012) · Behavioral and Brain Functions · doi:10.1186/1744-9081-8-19 · Cited by 68 · see citing works

GENE EXPRESSION IN CHONDROCYTES ASSESSED WITH USE OF MICROARRAYS

AIGNER, T., ZIEN, A., HANISCH, D., & ZIMMER, R. (2003) · The Journal of Bone and Joint Surgery-American Volume · doi:10.2106/00004623-200300002-00016 · Cited by 68 · see citing works

Genome-wide association studies and the genetic dissection of complex traits

Sebastiani, P., Timofeev, N., Dworkis, D. A., Perls, T. T., & Steinberg, M. H. (2009) · American Journal of Hematology · doi:10.1002/ajh.21440 · Cited by 67 · see citing works

Notch/HES1-mediated PARP1 activation: a cell type–specific mechanism for tumor suppression

Kannan, S., Fang, W., Song, G., Mullighan, C. G., Hammitt, R., McMurray, J., & Zweidler-McKay, P. A. (2011) · Blood · doi:10.1182/blood-2009-12-253419 · Cited by 66 · see citing works

Microglia recapitulate a hematopoietic master regulator network in the aging human frontal cortex

Wehrspaun, C. C., Haerty, W., & Ponting, C. P. (2015) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2015.04.008 · Cited by 64 · see citing works

The Epigenetic Evolution of Glioma Is Determined by the <i>IDH1</i> Mutation Status and Treatment Regimen

Malta, T. M., Sabedot, T. S., Morosini, N. S., Datta, I., Garofano, L., Vallentgoed, W., Varn, F. S., Aldape, K., D'Angelo, F., Bakas, S., et al. (2024) · Cancer Research · doi:10.1158/0008-5472.can-23-2093 · Cited by 68 · see citing works

Bone morphogenetic protein 8B promotes the progression of non-alcoholic steatohepatitis

Vacca, M., Leslie, J., Virtue, S., Lam, B. Y. H., Govaere, O., Tiniakos, D., Snow, S., Davies, S., Petkevicius, K., Tong, Z., et al. (2020) · Nature Metabolism · doi:10.1038/s42255-020-0214-9 · Cited by 60 · see citing works

Environmental intervention as a therapy for adverse programming by ancestral stress

McCreary, J. K., Erickson, Z. T., Hao, Y., Ilnytskyy, Y., Kovalchuk, I., & Metz, G. A. S. (2016) · Scientific Reports · doi:10.1038/srep37814 · Cited by 59 · see citing works

Mitochondria-focused gene expression profile reveals common pathways and CPT1B dysregulation in both rodent stress model and human subjects with PTSD

Zhang, L., Li, H., Hu, X., Benedek, D. M., Fullerton, C. S., Forsten, R. D., Naifeh, J. A., Li, X., Wu, H., Benevides, K. N., et al. (2015) · Translational Psychiatry · doi:10.1038/tp.2015.65 · Cited by 53 · see citing works

Visual search and the aging brain: Discerning the effects of age-related brain volume shrinkage on alertness, feature binding, and attentional control.

Müller-Oehring, E. M., Schulte, T., Rohlfing, T., Pfefferbaum, A., & Sullivan, E. V. (2013) · Neuropsychology · doi:10.1037/a0030921 · Cited by 56 · see citing works

Intergenerational effects of maternal post-traumatic stress disorder on offspring epigenetic patterns and cortisol levels

Hjort, L., Rushiti, F., Wang, S.-J., Fransquet, P., P Krasniqi, S., I Çarkaxhiu, S., Arifaj, D., Xhemaili, V. D., Salihu, M., A Leku, N., et al. (2021) · Epigenomics · doi:10.2217/epi-2021-0015 · Cited by 51 · see citing works

Quantitative brain MRI in congenital adrenal hyperplasia: in vivo assessment of the cognitive and structural impact of steroid hormones

Webb, E. A., Elliott, L., Carlin, D., Wilson, M., Hall, K., Netherton, J., Reed, J., Barrett, T. G., Salwani, V., Clayden, J. D., et al. (2018) · The Journal of Clinical Endocrinology &amp; Metabolism · doi:10.1210/jc.2017-01481 · Cited by 49 · see citing works

Effects of norepinephrine transporter gene variants on<scp>NET</scp>binding in<scp>ADHD</scp>and healthy controls investigated by<scp>PET</scp>

Sigurdardottir, H. L., Kranz, G. S., Rami‐Mark, C., James, G. M., Vanicek, T., Gryglewski, G., Kautzky, A., Hienert, M., Traub‐Weidinger, T., Mitterhauser, M., et al. (2016) · Human Brain Mapping · doi:10.1002/hbm.23071 · Cited by 51 · see citing works

An intermittent hypercaloric diet alters gut microbiota, prefrontal cortical gene expression and social behaviours in rats

Reichelt, A. C., Loughman, A., Bernard, A., Raipuria, M., Abbott, K. N., Dachtler, J., Van, T. T. H., & Moore, R. J. (2020) · Nutritional Neuroscience · doi:10.1080/1028415x.2018.1537169 · Cited by 49 · see citing works

Spectral Variability in the Aged Brain during Fine Motor Control

Quandt, F., Bönstrup, M., Schulz, R., Timmermann, J. E., Zimerman, M., Nolte, G., & Hummel, F. C. (2016) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2016.00305 · Cited by 38 · see citing works

Transcriptional reprogramming during reloading of atrophied rat soleus muscle

Flück, M., Schmutz, S., Wittwer, M., Hoppeler, H., & Desplanches, D. (2005) · American Journal of Physiology-Regulatory, Integrative and Comparative Physiology · doi:10.1152/ajpregu.00833.2004 · Cited by 44 · see citing works

AlzBase: An Integrative Database for Gene Dysregulation in Alzheimer’s Disease

Bai, Z., Han, G., Xie, B., Wang, J., Song, F., Peng, X., & Lei, H. (2016) · Molecular Neurobiology · doi:10.1007/s12035-014-9011-3 · Cited by 44 · see citing works

Midbrain-Driven Emotion and Reward Processing in Alcoholism

Müller-Oehring, E. M., Jung, Y.-C., Sullivan, E. V., Hawkes, W. C., Pfefferbaum, A., & Schulte, T. (2013) · Neuropsychopharmacology · doi:10.1038/npp.2013.102 · Cited by 38 · see citing works

Spatiotemporal localization of proteins in mycobacteria

Zhu, J., Wolf, I. D., Dulberger, C. L., Won, H. I., Kester, J. C., Judd, J. A., Wirth, S. E., Clark, R. R., Li, Y., Luo, Y., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.110154 · Cited by 32 · see citing works

Modulated expression of human peripheral blood micro<scp>RNA</scp>s from infancy to adulthood and its role in aging

Lai, C., Wu, Y., Yu, S., Yu, Y., Lee, S., Liu, C., Hsieh, W., Hwu, H., Chen, P., Jeng, S., et al. (2014) · Aging Cell · doi:10.1111/acel.12225 · Cited by 38 · see citing works

Isoform-level brain expression profiling of the spermidine/spermine N1-Acetyltransferase1 ( SAT1 ) gene in major depression and suicide

Pantazatos, S. P., Andrews, S. J., Dunning-Broadbent, J., Pang, J., Huang, Y.-Y., Arango, V., Nagy, P. L., & John Mann, J. (2015) · Neurobiology of Disease · doi:10.1016/j.nbd.2015.04.014 · Cited by 38 · see citing works

Epigenome-wide association study of alcohol use disorder in five brain regions

Zillich, L., Frank, J., Streit, F., Friske, M. M., Foo, J. C., Sirignano, L., Heilmann-Heimbach, S., Dukal, H., Degenhardt, F., Hoffmann, P., et al. (2022) · Neuropsychopharmacology · doi:10.1038/s41386-021-01228-7 · Cited by 36 · see citing works

Dietary vitamin E intake is associated with a reduced risk of developing digestive diseases and nonalcoholic fatty liver disease

Scorletti, E., Creasy, K. T., Vujkovic, M., Vell, M., Zandvakili, I., Rader, D. J., Schneider, K. M., & Schneider, C. V. (2022) · American Journal of Gastroenterology · doi:10.14309/ajg.0000000000001726 · Cited by 33 · see citing works

Clinical decision support to improve management of diabetes and dysglycemia in the hospital: A path to optimizing practice and outcomes

Pichardo-Lowden, A., Umpierrez, G., Lehman, E. B., Bolton, M. D., DeFlitch, C. J., Chinchilli, V. M., & Haidet, P. M. (2021) · BMJ Open Diabetes Research &amp; Care · doi:10.1136/bmjdrc-2020-001557 · Cited by 30 · see citing works

Molecular Effects of Genistein on Male Urethral Development

Ross, A. E., Marchionni, L., Phillips, T. M., Miller, R. M., Hurley, P. J., Simons, B. W., Salmasi, A. H., Schaeffer, A. J., Gearhart, J. P., & Schaeffer, E. M. (2011) · Journal of Urology · doi:10.1016/j.juro.2010.12.095 · Cited by 29 · see citing works

Detecting multiple differentially methylated CpG sites and regions related to dimensional psychopathology in youths

Spindola, L. M., Santoro, M. L., Pan, P. M., Ota, V. K., Xavier, G., Carvalho, C. M., Talarico, F., Sleiman, P., March, M., Pellegrino, R., et al. (2019) · Clinical Epigenetics · doi:10.1186/s13148-019-0740-z · Cited by 25 · see citing works

Screening Depressive Symptoms and Incident Major Depressive Disorder Among Chinese Community Residents Using a Mobile App–Based Integrated Mental Health Care Model: Cohort Study

Zhang, H., Liao, Y., Han, X., Fan, B., Liu, Y., Lui, L. M. W., Lee, Y., Subramaniapillai, M., Li, L., Guo, L., et al. (2022) · Journal of Medical Internet Research · doi:10.2196/30907 · Cited by 31 · see citing works

Treatment Patterns of Youth with Bipolar Disorder: Results from the National Comorbidity Survey—Adolescent Supplement (NCS-A)

Khazanov, G. K., Cui, L., Merikangas, K. R., & Angst, J. (2015) · Journal of Abnormal Child Psychology · doi:10.1007/s10802-014-9885-6 · Cited by 24 · see citing works

Impact of warm mindfulness on emotion regulation: a randomized controlled effectiveness trial

Gawande, R., Smith, L., Comeau, A., Creedon, T. B., Wilson, C. L., Griswold, T., Cook, B. L., Loucks, E. B., & Schuman-Olivier, Z. (2023) · Health Psychology · doi:10.1037/hea0001303 · Cited by 24 · see citing works

Thyroid hormone-regulated gene expression in juvenile mouse liver: identification of thyroid response elements using microarray profiling and in silico analyses

Paquette, M. A., Dong, H., Gagné, R., Williams, A., Malowany, M., Wade, M. G., & Yauk, C. L. (2011) · BMC Genomics · doi:10.1186/1471-2164-12-634 · Cited by 24 · see citing works

cgCorrect: a method to correct for confounding cell–cell variation due to cell growth in single-cell transcriptomics

Blasi, T., Buettner, F., Strasser, M. K., Marr, C., & Theis, F. J. (2017) · Physical Biology · doi:10.1088/1478-3975/aa609a · Cited by 18 · see citing works

The Resistin/TLR4/miR-155-5p axis: a novel signaling pathway in the onset of hypothalamic neuroinflammation

Prévost, M., Crépin, D., Rifai, S. A., Poizat, G., Gonçalves, M., van Barneveld, F., Shadpay, R., Taouis, K., Riffault, L., Benomar, Y., et al. (2025) · Journal of Neuroinflammation · doi:10.1186/s12974-025-03522-3 · Cited by 19 · see citing works

Comparison and analysis of multiple testing methods for microarray gene expression data

Seo, S., Kim, T. H., & Kim, J. (2014) · Journal of the Korean Data and Information Science Society · doi:10.7465/jkdi.2014.25.5.971 · Cited by 1 · see citing works

유전자 발현 데이터에 대한 다중검정법 비교 및 분석

서수민, 김태훈, & 김재희 (2014)

A Complete Review of Controlling the FDR in a Multiple Comparison Problem Framework -- The Benjamini-Hochberg AlgorithmPreprint

Acharya, A. (2014) · arXiv (Cornell University) · doi:10.48550/arxiv.1406.7117 · Cited by 1 · see citing works

The false discovery rate (FDR) of multiple tests in a class room lecture

Benditkis, J., Heesen, P., & Janssen, A. (2017) · Statistics & Probability Letters · doi:10.1016/j.spl.2017.09.017 · Cited by 8 · see citing works

Implementing false discovery rate control: increasing your power

Verhoeven, K. J. F., Simonsen, K. L., & McIntyre, L. M. (2005) · Oikos · doi:10.1111/j.0030-1299.2005.13727.x · Cited by 964 · see citing works