Bioinformatic Analysis of the Genetics of Common Complex Diseases

大量高通量测序数据已存入GEO、SRA等多个公共数据库。我们使用生物信息学方法来鉴定非编码rna，包括与年龄相关的认知能力下降和阿尔茨海默病相关的环状rna。我们使用生物信息学方法分析衰老系统和年龄相关疾病中的微生物组信息，特别是微生物组在阿尔茨海默病病理生理和进展中的作用。我们还使用各种计算生物学和机器学习方法来分析有关其他复杂人类疾病，衰老和与年龄相关的疾病过程的数据。多年来，我们已经将这项工作应用于许多项目，包括遗传协会数据库，以及2型糖尿病，阿尔茨海默病，肥胖，自闭症和自身免疫性疾病的遗传关联。

Huge amounts of high-throughput sequencing data have been deposited in multiple public databases such as GEO and SRA. We use bioinformatic approaches to identify non-coding RNAs including circular (circ)RNAs associated with age-related cognitive decline and with Alzheimers Disease. We use bioinformatic approaches to analyze microbiome information in aging systems and age-related disease, especially the role of microbiome in Alzheimers Disease pathophysiology and progression. We also use various computational biology and machine learning approaches to analyze data regarding other complex human disease, aging, and age-associated disease processes. Over the years we have applied this effort to a number of projects including The Genetic Association Database, and genetic associations for Type 2 Diabetes, Alzheimer's disease, Obesity, Autism, and Autoimmune diseases.