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GENOME INTELLIGENCE

Genome Intelligence Mining Laboratory (gimLAB)

Hacking LIFE information written in genome
LIFE - from birth to death through development and aging

WEBLOG

gim : : RESEARCH

What Is Written in Our Genome?
How Much of Our Phenotype is Determined by the Genome?
How Can We Apply Genomic Information to Improve Healthspan?

Our genome encodes the blueprint of life, influencing traits through genes and interactions with the environment, and its insights enable personalized medicine, disease prevention, and advanced therapies to improve healthspan and quality of life.

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gim : : APPLICATION

For Better Healthspan

gimLAB pioneers "analogital (analog + digital)", developing and offering innovative techniques for analyzing personal analogital

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Related Research Institutes

설명 넣어야 함

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GARD

Gwagnju Alzheimer's & Related Dementias Cohort Research Center

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WMI

Well-aging Medicare Institute

Members

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GIM, JungSoo

PRINCIPAL INVESTIGATOR


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LEE, Bora

POST-DOCTORAL RESEARCHER


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ILKIN, Summeya

POST-DOCTORAL RESEARCHER


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PARK, HyeonSeul

PH.D CANDIDATE


  “My research journey began with whole-genome sequencing (WGS) analysis, where I specialized in developing WGS pipelines. Over time, my focus shifted toward cognitive resilience, investigating the unique characteristics of resilient individuals. Ultimately, my goal is to contribute to digital health care. To achieve this, I am currently exploring the link between sleep patterns and cognitive function using lifelog data.”

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KIM, Yoontae

PH.D CANDIDATE


  “I develop genomic prediction models and conduct brain imaging genetics research, primarily focusing on Alzheimer's disease (AD). My work involves developing predictive models and identifying biomarkers for the early diagnosis of AD.”

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YOON, Dabin

RESEARCH ASSOCIATE


  “Our research focuses on integrating large-scale genomic and epidemiological data with GWAS to identify genetic determinants of longevity and sleep disorders. It advances our understanding of complex human health and aging mechanisms. ”

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LEE, Gunhoon

M.S. CANDIDATE


  “I am working on analyzing gene networks in Alzheimer's disease patients to identify key disease-related genes. Additionally, I am conducting genomic analysis of centenarians and studying the dietary intake networks of mothers who give birth to preterm infants.”

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JEONG, Yeon-oh

M.S. CANDIDATE


  “I am conducting methylation research. Currently, I am using methylation arrays to carry out my studies. The main focus of my research is on how methylation changes are related to aging. Additionally, I am investigating how these methylation changes are linked to physiological functions and other biological processes.”

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KIM, Chanbyeol

M.S. CANDIDATE


  “I conduct large-scale genome-wide association studies (GWAS) on Alzheimer’s disease (AD) in the Korean population, leveraging whole-genome sequencing and array-genotyped data to explore its genetic architecture. My research aims to identify population-specific genetic variants and risk factors, compare genomic differences between Korean and Caucasian populations, and deepen our understanding of AD’s genetic mechanisms.”

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OH, DongJin

M.S. CANDIDATE


  “My research focuses on detecting copy number variation from array-based data, with the goal of identifying the most suitable CNV detection method from SNP arrays. Additionally, I analyze the human microbiome using whole-genome sequencing data. Ultimately, I am interested in whether non-human genomes can affect human diseases.”

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LIM, Doye

INTERN


  “I analyze how interactions between specific environmental factors and genetic variations influence phenotypes. My research focuses on examining the impact of gene-environment interactions (GxE) between genetic variants (SNPs) and external factors such as drugs and chemicals on disease development.”

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JUNG, Eunseo

INTERN


  “I conduct research in pharmacogenomics and gene-environment interactions (GxE), utilizing genomic data from the Korean Genome and Epidemiology Study (KoGES) to explore how genetic variations interact with environmental factors and to analyze the reasons individuals exhibit different responses under the same conditions.”

PUBLICATIONS

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Oct 2024

Whole‐genome sequencing study in Koreans identifies novel loci for Alzheimer's disease

The genetic basis of Alzheimer's disease (AD) in Koreans is poorly understood. METHODS We performed an AD genome‐wide...

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Oct 2024

Whole‐genome sequencing study in Koreans identifies novel loci for Alzheimer's disease

The genetic basis of Alzheimer's disease (AD) in Koreans is poorly understood. METHODS We performed an AD genome‐wide...

Read More
Image
Oct 2024

Whole‐genome sequencing study in Koreans identifies novel loci for Alzheimer's disease

The genetic basis of Alzheimer's disease (AD) in Koreans is poorly understood. METHODS We performed an AD genome‐wide...

Read More
Image
Oct 2024

Whole‐genome sequencing study in Koreans identifies novel loci for Alzheimer's disease

The genetic basis of Alzheimer's disease (AD) in Koreans is poorly understood. METHODS We performed an AD genome‐wide...

Read More

SOFTWARE

설명

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SOFTWARE

* mGWAS conducts GWAS with sample balancing (R-package)
* bsGWAS conducts GWAS with bootstrap sampling to improve identification of causal variants (R-package)
* famRisk calculates genome risk from pedigree information (R-package)
* ADriskPx predicts genomic risk of Alzheimer's disease in East Asians (R-package / Web-tool)

* LPEseq performs differential expression (DE) analysis with a sample without replicates (R-package / Web-tool)
* edgeR module improves DE analysis performance when using edgeR package (R-package)
* CUseq analyze DE analysis with a large sample when no meta information (covariates) are available (R-package)
* RescueMap optimally pre-processes low-quality total RNA-seq data​ for improved DE and further analyses. (Shell script & R)

* normSRM conducts effective normalization for MRM/SRM

* optTarget identifies therapeutic target molecules for personalized medicine incorporating with drug

* Propensity score matching tutorial

PARTICIPATIONS

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