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Adjusting for Participation Bias in Case-Control Genetic Association Studies for Rare Diseases

• Authors : Wang, Le; Li, Zhengbang; Fitzpatrick, Ben

Subjects: Statistics - Methodology

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Implications of self-identified race, ethnicity, and genetic ancestry on genetic association studies in biobanks within health systems

• Authors : Johnson, Ruth; Pasaniuc, Bogdan

Subjects: Quantitative Biology - Other Quantitative Biology

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Systematic meta-analyses, field synopsis and global assessment of the evidence of genetic association studies in colorectal cancer

• Authors : Montazeri, Z; Li, X; Nyiraneza, C

Subjects: Medicin och hälsovetenskap

• Source: Gut. 69(8):1460-1471

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Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imaging.

• Authors : Patel, Khush¹ (AUTHOR); Xie, Ziqian¹ (AUTHOR); Yuan, Hao² (AUTHOR)

• Source: Communications Biology. 4/5/2024, Vol. 7 Issue 1, p1-14. 14p.

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Unsupervised deep representation learning enables phenotype discovery for genetic association studies of brain imaging

• Authors : Khush Patel; Ziqian Xie; Hao Yuan

Subjects: Biology (General); QH301-705.5

• Source: Communications Biology, Vol 7, Iss 1, Pp 1-14 (2024)

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A web-based information system for cumulative and recursive cumulative meta-analysis of genetic association studies

• Authors : Theodoros Mprotsis; Efthimios Dardiotis; Ioannis Stefanidis

Subjects: Cumulative meta-analysis; Recursive cumulative meta-analysis; Genetic association studies

• Source: Healthcare Analytics, Vol 3, Iss , Pp 100201- (2023)

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A Sieve Quasi-likelihood Ratio Test for Neural Networks with Applications to Genetic Association Studies

• Authors : Shen, Xiaoxi; Jiang, Chang; Sakhanenko, Lyudmila

Subjects: Statistics - Machine Learning; Mathematics - Statistics Theory

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BRASS: Permutation methods for binary traits in genetic association studies with structured samples.

• Authors : Mbatchou J; Regeneron Genetics Center, Tarrytown, New York, United States of America.; Department of Statistics, The University of Chicago, Chicago, Illinois, United States of America.

Subjects: Genetic Testing* ; Models, Genetic*; Animals

• Source: PLoS genetics [PLoS Genet] 2023 Nov 07; Vol. 19 (11), pp. e1011020. Date of Electronic Publication: 2023 Nov 07 (Print Publication: 2023).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101239074 Publication Model: eCollection Cited Medium: Internet

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Comprehensive analysis of genes associated with migraine in the Indian population: a meta-analysis of genetic association studies with trial sequential analysis.

• Authors : Sudershan A; Institute of Human Genetics, University of Jammu, Jammu, Jammu and Kashmir, 180006, India.; Department of Human Genetics, Sri Pratap College, Cluster University of Srinagar, Kashmir, Jammu and Kashmir, India.

Subjects: Genetic Predisposition to Disease* ; Migraine Disorders*/Migraine Disorders*/Migraine Disorders*/genetics ; Migraine Disorders*/Migraine Disorders*/Migraine Disorders*/epidemiology

• Source: Scientific reports [Sci Rep] 2023 Nov 04; Vol. 13 (1), pp. 19070. Date of Electronic Publication: 2023 Nov 04.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Toll-like receptor 9 (-1237 T/C, -1486 T/C) and the risk of gastric cancer: a meta-analysis of genetic association studies.

• Authors : Qyi YZ; School of Medicine, International Medical University, Kuala Lumpur, Malaysia.; School of Humanities, Social Sciences and Law, University of Dundee, Dundee, Scotland, UK.

Subjects: Stomach Neoplasms*/Stomach Neoplasms*/Stomach Neoplasms*/epidemiology ; Stomach Neoplasms*/Stomach Neoplasms*/Stomach Neoplasms*/genetics ; Toll-Like Receptor 9*/Toll-Like Receptor 9*/Toll-Like Receptor 9*/genetics

• Source: BMC cancer [BMC Cancer] 2023 Oct 24; Vol. 23 (1), pp. 1027. Date of Electronic Publication: 2023 Oct 24.Publisher: BioMed Central Country of Publication: England NLM ID: 100967800 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2407

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