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Titlebook: Genome-Wide Association Studies; Tatsuhiko Tsunoda,Toshihiro Tanaka,Yusuke Nakamura Book 2019 Springer Nature Singapore Pte Ltd. 2019 Geno

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樓主: advocate
21#
發(fā)表于 2025-3-25 06:20:05 | 只看該作者
22#
發(fā)表于 2025-3-25 09:19:48 | 只看該作者
Deutschlands Volksverm?gen im Kriegesuccessful so far, and most of heritability for diabetic nephropathy remains to be elucidated. Uncovering the missing heritability is essential to the progress of T2D genetic studies and to the translation of genetic information into clinical practice.
23#
發(fā)表于 2025-3-25 11:47:46 | 只看該作者
24#
發(fā)表于 2025-3-25 18:27:06 | 只看該作者
25#
發(fā)表于 2025-3-25 23:49:32 | 只看該作者
26#
發(fā)表于 2025-3-26 01:04:13 | 只看該作者
Deutschlands zukünftige Bildungsstruktureen 2007 and 2016 for three major global infectious diseases (AIDS, malaria, and tuberculosis), hepatitis (B and C), and other infectious diseases. We will also discuss the currently proposed mechanisms based on GWAS findings.
27#
發(fā)表于 2025-3-26 05:59:57 | 只看該作者
Deutschlands zukünftige Kohlenwirtschaft drug response. The validation studies or meta-analysis for the results of GWASs are essential for clinical application of biomarkers identified in the GWASs. This chapter highlights the notable results of pharmacogenomic GWASs which have been published until today.
28#
發(fā)表于 2025-3-26 08:29:01 | 只看該作者
Genetics of Infectious Diseases,een 2007 and 2016 for three major global infectious diseases (AIDS, malaria, and tuberculosis), hepatitis (B and C), and other infectious diseases. We will also discuss the currently proposed mechanisms based on GWAS findings.
29#
發(fā)表于 2025-3-26 14:47:41 | 只看該作者
Pharmacogenomics, drug response. The validation studies or meta-analysis for the results of GWASs are essential for clinical application of biomarkers identified in the GWASs. This chapter highlights the notable results of pharmacogenomic GWASs which have been published until today.
30#
發(fā)表于 2025-3-26 18:33:04 | 只看該作者
t of samples and data analysis.Looks to the future of GWAS a.This book examines the utility of genome-wide association studies (GWAS) in the era of next-generation sequencing and big data, identifies limitations and potential means of overcoming them, and looks to the future of GWAS and what may lay
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