Ryo Yamada - Genetic Mutations

Author Information

Ryo Yamada is affiliated with the Department of Statistical Genetics, Center for Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan. His research focuses extensively on statistical genetics and genomics, where he employs large-scale data analysis to understand genetic associations with various health conditions.

Research Contributions

Ryo Yamada has made significant contributions to the field of genetics, demonstrated through his extensive publication record. His research includes genome-wide association studies (GWAS), advanced statistical methods for genetic data analysis, and the application of artificial intelligence in genomics. Notable works include identifying susceptibility genes for keratoconus through GWAS and AI, and studying lymphocyte profile variations using large-scale cytometry data. Additionally, he has contributed to understanding the treatment responses in rheumatoid arthritis and the impact of smoking on cardiovascular health.

Aliases

Ryo Yamada is also known by the aliases R. Yamada and R Yamada.

Publication and Citation Metrics

Metric	Value
Citation Count	12,871
h-index	54
Paper Count	195

Publications:

Publisher Correction: Genome-wide association study of individual differences of human lymphocyte profiles using large-scale cytometry data.

DOI: 10.1038/s10038-020-00890-x

Year: 2021

Full title Increased aortic wave reflection and smaller pulse pressure amplification in smokers and passive smokers confirmed by urinary cotinine levels: the Nagahama Study Short title Smoking and central blood pressure Authors

DOI:

Year: 2020

Predicting the treatment response of certolizumab for individual adult patients with rheumatoid arthritis: protocol for an individual participant data meta-analysis

DOI: 10.1186/s13643-020-01401-x

Year: 2020

Keratoconus-susceptibility gene identification by corneal thickness genome-wide association study and artificial intelligence IBM Watson

DOI: 10.1038/s42003-020-01137-3

Year: 2020

Decomposition of a set of distributions in extended exponential family form for distinguishing multiple oligo-dimensional marker expression profiles of single-cell populations and visualizing their dynamics

DOI: 10.1371/journal.pone.0231250

Year: 2020

Predicting the Treatment Response of Certolizumab for Individual Adult Patients with Rheumatoid Arthritis: Protocol for An Individual Participant Data Meta-Analysis

DOI: 10.21203/rs.3.rs-24099/v2

Year: 2020

Predicting the Treatment Response of Certolizumab for Individual Patients with Rheumatoid Arthritis: Protocol for An Individual Participant Data Meta-Analysis

DOI: 10.21203/rs.3.rs-24099/v1

Year: 2020

Genome-wide association study of individual differences of human lymphocyte profiles using large-scale cytometry data

DOI: 10.1038/s10038-020-00874-x

Year: 2020

Descriptive epidemiology of high frequency component based on heart rate variability from 10-second ECG data and daily physical activity among community adult residents: the Nagahama Study.

DOI: 10.5582/bst.2020.03146

Year: 2020

A Geometry-Based Multiple Testing Correction for Contingency Tables by Truncated Normal Distribution

DOI: 10.1007/s12561-020-09271-6

Year: 2020

How Do Chemicals Cause Genetic Mutations?

Can Genetic Testing Help?

What is the Role of Insertion Mutations in Evolution?

What Is the Role of Genetics in Cognitive Development?

What is Genetic Coding?

Can Neutral Mutations Become Beneficial or Harmful?

What Are the Biological Consequences of UV-Induced Mutations?

How Does the Body Repair UV-Induced DNA Damage?

What Types of Mutations Are Induced by UV Radiation?

What is the Mechanism of Action of TKIs?

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