Statistical power and significance testing in large-scale genetic studies

Sham, Pak C., Purcell, Shaun M.·2014·Nature Reviews Genetics
DOI 10.1038/nrg3706

Cited by (565)

Items 501–565 of 565

  1. Standardized phenotyping of periodontitis - using OPG radiographs for genome-wide association studies (GWAS)
    Anna Margrét Bjarnadóttir · 2020
  2. Complex Traits in Natural Populations
    Daniel L. Hartl · 2020 · Oxford University Press eBooks
  3. The impact of post-alignment processing procedures on whole-exome sequencing data
    Murilo Guimarães Borges, Helena Tadiello de Moraes, Cristiane S. Rocha, Íscia Lopes‐Cendes · 2020 · Genetics and Molecular Biology
  4. Integrative genomics identifies lncRNA regulatory networks across 1,044 pediatric leukemias and extra-cranial solid tumors
    Apexa Modi, Gonzalo López, Karina L. Conkrite, Chun Su, Tsz Ching Leung, Sathvik Ramanan, Elisabetta Manduchi, Matthew E. Johnson, Daphne Cheung, Samantha Gadd et al. · 2020 · bioRxiv (Cold Spring Harbor Laboratory)
  5. Quantitative Label-Free Comparative Proteomic Analyses of Eukaryotic Tissues via Mass Spectrometry
    Kramer, David A · 2018 · ERA: Education and Research Archive (University of Alberta)
  6. Leveraging large scale beef cattle genomic data to identify the architecture of polygenic selection and local adaptation
    Troy N. Rowan · 2020 · MOspace Institutional Repository (University of Missouri)
  7. Identifying genetic determinants of T cell-dependent autoimmunity using forward genetics
    Gonzalo Fernandez Lahore · 2021 · Figshare
  8. Genetic and Environmental Effects on Liver Diseases
    Yanni Li · 2021 · University of Groningen research database (University of Groningen / Centre for Information Technology)
  9. Understanding retinal diseases with genotypic and transcriptomic data analysis
    Satyasai Aravind Prasad Manda · 2021 · Minerva Access (University of Melbourne)
  10. The genomics of growth and blue spots in a cultured population of Australasian snapper Chrysophrys auratus
    David T. Ashton · 2019
  11. Defining the phenotype
    Joanna von Berg · 2022 · Utrecht University Repository (Utrecht University)
  12. Genetic associations with lymphomas in Polish patients: A pooled‐DNA genome‐wide association analysis
    Ewa Paszkiewicz‐Kozik, Anna Kluska, Magdalena Piątkowska, Aneta Bałabas, Natalia Żeber‐Lubecka, Jakub Karczmarski, Krzysztof Goryca, Maria Kulecka, Elżbieta Wojciechowska‐Lampka, Włodzimierz Osiadacz et al. · 2022 · International Journal of Immunogenetics
  13. Comment on egusphere-2023-309
    Khawaja, Muhammad Asim, Behnam Maleki Asayesh, Sebastian Hainzl · 2023
  14. Comment on egusphere-2023-309
    Khawaja, Muhammad Asim, Behnam Maleki Asayesh, Sebastian Hainzl · 2023
  15. Comment on egusphere-2023-309
    Muhammad Asim Khawaja, Behnam Maleki Asayesh, Sebastian Hainzl · 2023
  16. Comment on egusphere-2023-309
    Khawaja, Muhammad Asim, Maleki Asayesh, Behnam, Hainzl, Sebastian · 2023
  17. Reply on CC2
    Muhammad Asim Khawaja · 2023
  18. Reply on RC1
    Muhammad Asim Khawaja · 2023
  19. Reply on CC1
    Muhammad Asim Khawaja · 2023
  20. Reply on RC2
    Muhammad Asim Khawaja · 2023
  21. Identification and Genomic Localization of Autosomal sdY Locus in a Population of Atlantic Salmon (Salmo salar)
    Hooman K. Moghadam, Brede Fannemel, Ingunn Thorland, Carlos Lozano, Borghild Hillestad · 2023 · Marine Biotechnology
  22. A one-dimensional mixed model genome scan approach for detecting QTL-by-genetic-background interactions in diallel and nested association mapping designs
    Wenhao Li, Martin P. Boer, Ronny V.L. Joosen, Chaozhi Zheng, Fred A. van Eeuwijk · 2023 · Research Square
  23. Power
    Manuel A. Orellana · 2023 · Elsevier eBooks
  24. A matter of genetic divergence: sizing up the sample for soybean canonical variables
    Rafael Rodrigues de Souza, Alberto Cargnelutti Filho, Marcos Júlio Toebe, Karina Chertok Bittencourt · 2023 · Research Square
  25. Supplementary Information from Integrative Genomic Analyses Identify LncRNA Regulatory Networks across Pediatric Leukemias and Solid Tumors
    Apexa Modi, Gonzalo López, Karina L. Conkrite, Chun Su, Tsz Ching Leung, Sathvik Ramanan, Elisabetta Manduchi, Matthew E. Johnson, Daphne Cheung, Samantha Gadd et al. · 2023
  26. Causal Relationships Between Myasthenia Gravis and Gut Microbiota by Mendelian Randomization Analysis
    Jiahui Wang, Jing Wang, Xihao Wang, Qifeng Yao, Jianghua Ying, Yueyu Huang, Weiming Mao, An Zhao · 2023 · Research Square
  27. An Assessment of Fish Assemblages in a Tropical Marine Reserve Utilizing a Mono Baited Remote Underwater Video Camera and Antillean Traps
    Nasheika Guyah, Mona Webber, Kurt Prospere · 2024 · SSRN Electronic Journal
  28. Molecular epidemology
    Santosh Kotgire · 2024 · IP International Journal of Medical Microbiology and Tropical Diseases
  29. Hypothesis Testing
    Claudia Angelini · 2024 · Elsevier eBooks
  30. Evaluating effect of different dominance genotype encodings on genome-wide association studies and genomic selection
    Xiangyu Dai, Jiakun Qiao, Zhiwei Long, Zhaoxuan Che, Fangjun Xu, Na Miao, Mengjin Zhu · 2025 · Animal Bioscience
  31. A Powerful Transformation of Quantitative Responses for Biobank-Scale Association Studies
    Yaowu Liu, Tianying Wang · 2025 · Journal of the American Statistical Association
  32. Modelagem matemática de GWAS para análise de dados genômicos
    Beatriz Campanha Silva, Rovaris, Diego Luiz, Peixoto, Cláudia Monteiro · 2025
  33. Mixed modeling approach for characterizing the genetic effects in a longitudinal phenotype
    Pei Zhang, Paul S. Albert, Hyokyoung Grace Hong · 2025 · The Annals of Applied Statistics
  34. kmmDE: A Non-Parametric Method for Differential Expression Analysis of Time-Course RNA-Seq Data Using Maximum Mean Discrepancy
    Kangchen Liu, Jing Xu, Haoran Ma, Fang Liu, Aidi Zhang, Xiujun Zhang · 2025 · IEEE Transactions on Computational Biology and Bioinformatics
  35. Reader Response: Genetic Associations With an Amyotrophic Lateral Sclerosis Reversal Phenotype
    Wouter van Rheenen, Matthew B. Harms, Michael A. van Es, Jan Herman Veldink · 2025 · Neurology
  36. Additional file 5 of Power calculator for detecting allelic imbalance using hierarchical Bayesian model
    Katrina Sherbina, León-Novelo, Luis G., Sergey V. Nuzhdin, Lauren M. McIntyre, Fabio Marroni · 2021 · Figshare
  37. Additional file 6 of Power calculator for detecting allelic imbalance using hierarchical Bayesian model
    Katrina Sherbina, León-Novelo, Luis G., Sergey V. Nuzhdin, Lauren M. McIntyre, Fabio Marroni · 2021 · Figshare
  38. Additional file 4 of Power calculator for detecting allelic imbalance using hierarchical Bayesian model
    Katrina Sherbina, León-Novelo, Luis G., Sergey V. Nuzhdin, Lauren M. McIntyre, Fabio Marroni · 2021 · Figshare
  39. Additional file 1 of Incorporating knowledge of disease-defining hub genes and regulatory network into a machine learning-based model for predicting treatment response in lupus nephritis after the first renal flare
    Lee, Ding-Jie, Tsai, Ping-Huang, Chen, Chien-Chou, Dai, Yang-Hong · 2024 · Figshare
  40. Additional file 7 of Power calculator for detecting allelic imbalance using hierarchical Bayesian model
    Katrina Sherbina, León-Novelo, Luis G., Sergey V. Nuzhdin, Lauren M. McIntyre, Fabio Marroni · 2021 · Figshare
  41. Additional file 1 of Power calculator for detecting allelic imbalance using hierarchical Bayesian model
    Katrina Sherbina, León-Novelo, Luis G., Sergey V. Nuzhdin, Lauren M. McIntyre, Fabio Marroni · 2021 · Figshare
  42. Additional file 1 of Increase in power by obtaining 10 or more controls per case when type-1 error is small in large-scale association studies
    Hormuzd A. Katki, Sonja I. Berndt, Mitchell J. Machiela, Stewart, Douglas R., Garcia-Closas, Montserrat, Jung Gil KIM, Jianxin Shi, Yu, Kai, Nathaniel Rothman · 2023 · Figshare
  43. Additional file 3 of Power calculator for detecting allelic imbalance using hierarchical Bayesian model
    Katrina Sherbina, León-Novelo, Luis G., Sergey V. Nuzhdin, Lauren M. McIntyre, Fabio Marroni · 2021 · Figshare
  44. Additional file 2 of Incorporating knowledge of disease-defining hub genes and regulatory network into a machine learning-based model for predicting treatment response in lupus nephritis after the first renal flare
    Lee, Ding-Jie, Tsai, Ping-Huang, Chen, Chien-Chou, Dai, Yang-Hong · 2024 · Figshare
  45. Beyond Single Variants: A Pathway-Based Approach to Explore the Genetic Basis of Memory
    Daan van Beek, Martina Kutmon, Theo M. C. M. de Kok, Ilja C.W. Arts, Michelle Moerel, Michiel E. Adriaens · 2026 · Molecular Neurobiology
  46. A Genome‐Wide Association Study of Colorectal Cancer Mortality Outcomes Among Individuals of African and Admixture Ancestry
    Thomas Lawler, Jirong Long, Rene Welch, Irene M. Ong, Oluwatoyosi Ogunmuyiwa, Rida A. Khatri, Martha Shrubsole, Shaneda Warren Andersen · 2026 · Molecular Carcinogenesis
  47. Predictive Modelling for Genetic Data Significance: An Experimental Study
    Bhushan S. Yelure, Suraj Kadam, Vinayak Thorat, Rohan Mali, Sourabh Patil, Neha Pawar · 2026 · Premier journal of science.
  48. Genome-wide association analysis to identify novel candidate genes and genomic model optimization to predict acute low-temperature stress resilience in olive flounder (Paralichthys olivaceus)
    H A C R Hanchapola, Gaeun Kim, W.K.M. Omeka, Po Gong, D.S. Liyanage, H.M.V. Udayantha, Yasara Kavindi Kodagoda, M A H Dilshan, D C G Rodrigo, G A N P Ganepola et al. · 2026 · Comparative Biochemistry and Physiology Part D Genomics and Proteomics
  49. Enhancing Omics Analyses Through Coalitional Games and Shapley Values
    Eva Vargas, Inés de la Torre, Francisco José Esteban · 2026 · Methods and Protocols
  50. scDesignPop generates realistic population-scale single-cell RNA-seq for power analysis, benchmarking, and privacy protection
    Chris Y. Dong, Yihui Cen, Dongyuan Song, Jingyi Jessica Li · 2026 · bioRxiv (Cold Spring Harbor Laboratory)
  51. COBT: a gene-based rare variant burden test for case-only study designs using aggregated genotypes from public reference cohorts
    Antoine Favier, Stefania Chounta, Alejandro Garcia, Fabienne Jabot‐Hanin, Xiaoyi Chen, Nicolas Garcelon, Anita Burgun, Manuel Higueras, Agathe Guilloux, Alexandre Benmerah et al. · 2026 · Genome Medicine
  52. Whole-genome resequencing-based GWAS reveals loci associated with yellow leaf disease resistance in Phalaenopsis
    Ling-Yu Chen, Yen-Hsiang Huang, Chung-Feng Kao, Yan-Jeng Wu, Ting-Fang Hsieh, Jiunn-Feng Su, Yung-Hsiang Lai, Pen-Chih Lai, Yung-Yu Lin, Te-Cheng Lin et al. · 2026 · Scientia Horticulturae
  53. Use of large-scale cow genotyping to dissect dairy complex traits beyond additive effects
    Andrew Marete · 2018 · theses.fr (ABES)
  54. Interactions gène-gène et gène-environnement dans les études génétiques de maladies multifactorielles : application à l’asthme et l’atopie
    Pierre‐Emmanuel Sugier · 2018 · theses.fr (ABES)
  55. From sequences to knowledge, improving and learning from sequence alignments
    Luc Blassel · 2022 · theses.fr (ABES)
  56. Perspective for CAR T-Cell Therapy in Underrepresented Populations: A Hypothesis-Generating CD19 Genomic Analysis
    Maysa A. Al-Hussaini, Anas Al-okaily, Osama A Alsmadi · 2026 · Journal of Personalized Medicine
  57. Identification of Rare Variants in Candidate Genes Associated with Chemotherapy-Induced Peripheral Neuropathy
    William M. Durham, Joan Röhl, Larisa Margaret Haupt, Kim E. Alexander, Paul Joseph Dunn · 2026 · Research Square
  58. Repositioning candidate gene approaches in the post-GWAS era: a clinical perspective from psychiatric pharmacogenetics
    Milica Pjevac, Jurij Bon, Vita Dolžan · 2026 · Frontiers in Genetics
  59. The Enigma of Finnish and Sardinian Type 1 Diabetes Incidence: Where Population History Meets Genetics
    Pierre F Bougneres · 2026 · Genes
  60. A rare-variant analysis of FADS -related metabolites in Major Depression
    Laurence Nisbet, Ella Davyson, Robin Beaumont, Jessica Tyrrell, Xueyi Shen, Andrew Mark McIntosh · 2026 · medRxiv
  61. Repeatability and genetic architecture of milk urea nitrogen in a multi-breed Romanian dual-purpose cattle population: a genome-wide association study and the impact of phenotype definition
    Daniel George Bratu, Șerban Blaga, Bianca Cornelia Zanfira, Calin MIRCU, Ioana-Irina Spătaru, Iuliu Torda, Vlad Mihai Cocioba, Alexandru Eugeniu Mizeranschi, Daniela Elena Ilie, Ludovic Toma Cziszter et al. · 2026 · Frontiers in Animal Science
  62. Association of PTH1R Gene Polymorphisms with Three-Dimensional Mandibular Morphology Across Three Recruitment Cohorts
    Shin Dongsan, Ryosuke Kimura, Yong‐Il Kim, Mohamed Adel, Ueda Seishiro, Masahiro Takahashi, Yu Hikita, Tetsutaro Yamaguchi · 2026 · International Journal of Molecular Sciences
  63. Association of genetic risk score (GRS) constructed from THADA gene variants with polycystic ovary syndrome risk in Punjabi women
    Khadija Sajjad, Hamna Maqsood, Abu Huraira Aslam, N.A. Shabana · 2026 · Gene Reports
  64. The Structural Genome Shapes the Chronic Wound Microbiome
    Khalid Omeir, Jacob S. Ancira, Rebecca A. Gabrilska, Craig D. Tipton, Nicole Phillips, Joseph Wolcott, Caleb D. Phillips · 2026 · medRxiv
  65. IL37 polymorphisms in dilated cardiomyopathy: susceptibility, haplotype associations, and biochemical correlates
    Adel Najah Tuama, Wisal Salman Abd · 2026 · Journal of Immunoassay and Immunochemistry