Works matching IS 07410395 AND DT 2020 AND VI 44 AND IP 8
Results: 12
Efficient gene–environment interaction tests for large biobank‐scale sequencing studies.
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- Genetic Epidemiology, 2020, v. 44, n. 8, p. 908, doi. 10.1002/gepi.22351
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- Article
Supervariants identification for breast cancer.
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- Genetic Epidemiology, 2020, v. 44, n. 8, p. 934, doi. 10.1002/gepi.22350
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Joint testing of donor and recipient genetic matching scores and recipient genotype has robust power for finding genes associated with transplant outcomes.
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- Genetic Epidemiology, 2020, v. 44, n. 8, p. 893, doi. 10.1002/gepi.22349
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Incorporating multiple sets of eQTL weights into gene‐by‐environment interaction analysis identifies novel susceptibility loci for pancreatic cancer.
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- Genetic Epidemiology, 2020, v. 44, n. 8, p. 880, doi. 10.1002/gepi.22348
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Polygenic modelling of treatment effect heterogeneity.
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- Genetic Epidemiology, 2020, v. 44, n. 8, p. 868, doi. 10.1002/gepi.22347
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Fine‐mapping and QTL tissue‐sharing information improves the reliability of causal gene identification.
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- Genetic Epidemiology, 2020, v. 44, n. 8, p. 854, doi. 10.1002/gepi.22346
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A framework for pathway knowledge driven prioritization in genome‐wide association studies.
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- Genetic Epidemiology, 2020, v. 44, n. 8, p. 841, doi. 10.1002/gepi.22345
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Evaluating shared genetic influences on nonsyndromic cleft lip/palate and oropharyngeal neoplasms.
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- Genetic Epidemiology, 2020, v. 44, n. 8, p. 924, doi. 10.1002/gepi.22343
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Exploring gene–gene interaction in family‐based data with an unsupervised machine learning method: EPISFA.
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- Genetic Epidemiology, 2020, v. 44, n. 8, p. 811, doi. 10.1002/gepi.22342
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- Article
An enhanced machine learning tool for cis‐eQTL mapping with regularization and confounder adjustments.
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- Genetic Epidemiology, 2020, v. 44, n. 8, p. 798, doi. 10.1002/gepi.22341
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Issue Information.
- Published in:
- Genetic Epidemiology, 2020, v. 44, n. 8, p. 795, doi. 10.1002/gepi.22239
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- Article
Estimating the effects of copy‐number variants on intelligence using hierarchical Bayesian models.
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- Genetic Epidemiology, 2020, v. 44, n. 8, p. 825, doi. 10.1002/gepi.22344
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- Article