基本信息
views: 1
Career Trajectory
Bio
Research interests: Research in the Gao lab aims to address questions in human genetics in an evolutionary context by computational approaches.
Keywords: population genetics, natural selection, mutation, human disease, complex traits
Research details: One theme of our research is the genesis and accumulation of mutations in natural populations. We are particularly interested in the mechanisms and timing of mutagenesis in the germline and somatic tissues as well as the causes and consequences of mutation rate variation. To answer these questions, we take a computational approach to integrate data from comparative genomics, human genetics, cancer genetics and developmental biology. Another research direction in the lab is to understand the genetic basis and evolution of human phenotypes. We have developed methods to detect and quantify impacts of natural selection under diverse evolutionary scenarios, including purifying selection on severe Mendelian disease mutations, balancing selection in maintaining ancient polymorphism, and stabilizing selection on gene expression. A primary aim of our current research is to understand the genetic architecture and evolution of complex traits in human populations by mathematical modeling and statistical analysis of genomic data from modern and ancient samples.
Keywords: population genetics, natural selection, mutation, human disease, complex traits
Research details: One theme of our research is the genesis and accumulation of mutations in natural populations. We are particularly interested in the mechanisms and timing of mutagenesis in the germline and somatic tissues as well as the causes and consequences of mutation rate variation. To answer these questions, we take a computational approach to integrate data from comparative genomics, human genetics, cancer genetics and developmental biology. Another research direction in the lab is to understand the genetic basis and evolution of human phenotypes. We have developed methods to detect and quantify impacts of natural selection under diverse evolutionary scenarios, including purifying selection on severe Mendelian disease mutations, balancing selection in maintaining ancient polymorphism, and stabilizing selection on gene expression. A primary aim of our current research is to understand the genetic architecture and evolution of complex traits in human populations by mathematical modeling and statistical analysis of genomic data from modern and ancient samples.
Research Interests
Papers共 31 篇Author StatisticsCo-AuthorSimilar Experts
By YearBy Citation主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
ELIFE (2024)
PLOS BIOLOGYno. 1 (2024): e3002469-e3002469
crossref(2024)
crossref(2023)
eLife (2023)
crossref(2023)
Cited1Views0Bibtex
1
0
Load More
Author Statistics
#Papers: 29
#Citation: 1773
H-Index: 15
G-Index: 29
Sociability: 5
Diversity: 0
Activity: 0
Co-Author
Co-Institution
D-Core
- 合作者
- 学生
- 导师
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn