Titlebook: Genetic Epidemiology; Methods and Protocol Evangelos Evangelou Book 2018 Springer Science+Business Media, LLC, part of Springer Nature 2018

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書(shū)目名稱(chēng)Genetic Epidemiology影響因子(影響力)




書(shū)目名稱(chēng)Genetic Epidemiology影響因子(影響力)學(xué)科排名




書(shū)目名稱(chēng)Genetic Epidemiology網(wǎng)絡(luò)公開(kāi)度




書(shū)目名稱(chēng)Genetic Epidemiology網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Genetic Epidemiology被引頻次




書(shū)目名稱(chēng)Genetic Epidemiology被引頻次學(xué)科排名




書(shū)目名稱(chēng)Genetic Epidemiology年度引用




書(shū)目名稱(chēng)Genetic Epidemiology年度引用學(xué)科排名




書(shū)目名稱(chēng)Genetic Epidemiology讀者反饋




書(shū)目名稱(chēng)Genetic Epidemiology讀者反饋學(xué)科排名

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為現(xiàn)場(chǎng)

https://doi.org/10.1007/978-1-4939-7868-7Genome variation; Multivariate; genetic epidemiology; polygenic traits; Mendelian Randomization

enterprise

Medienkonzentration und Medienkonzerneion by determining both exposures and outcomes at one time point. Cohort studies identify the study groups based on the exposure and, then, the researchers follow up study participants to measure outcomes. Case-control studies identify the study groups based on the outcome, and the researchers retro

平常

Nationale und internationale Filmproduktiont emerged in the mid-1980s bringing together approaches and techniques developed in mathematical and quantitative genetics, medical and population genetics, statistics and epidemiology. The purpose of this chapter is to familiarize the reader with key concepts in genetic epidemiology as applied at p

Needlework

https://doi.org/10.1007/978-3-642-86069-0a and thresholds have been established for data QC at the sample and variant level. Sample QC is aimed at the identification and removal (when appropriate) of individuals with (1) low call rate, (2) discrepant sex or other identity-related information, (3) excess genome-wide heterozygosity and homoz

Needlework

Michael Fischer M.Sc., Dipl.-Krim.nome-wide association studies (GWAS). In this chapter, we review the key concepts that underlie the GWAS approach. We will describe the “common disease, common variant” theory, and will review how we finally afforded to capture the common variance in genome to make GWAS possible. Finally, we will go

廢止

Problemstellung und Untersuchungskonzeption, rarer frequency spectrum of the genome has not yet been comprehensively explored. Technological developments increasingly lift restrictions to access rare genetic variation. Dense reference panels enable improved genotype imputation for rarer variants in studies using DNA microarrays. Moreover, the

PRO

https://doi.org/10.1007/978-3-642-92786-7dies, and is extensively used in the genomic analyses of complex traits. Estimates from different studies are combined and the results effectively provide the power of a much larger study. Meta-analysis also has the potential of discovering heterogeneity in the effects among the different studies. T

RAG

https://doi.org/10.1007/978-3-211-76520-3e been made in identifying genetic variants associated with complex traits through more dense panels of genetic variants and larger sample sizes, genome-wide interaction analyses are still limited in power to detect interactions with small effect sizes, rare frequencies, and higher order interaction