Hae Kyung Im, PhD

We develop quantitative and computational methods and tools to sift through the vast amounts of genomic and other high dimensional data with the goal of making discoveries that can be translated to improve human health.

University of Chicago
Chicago
PhD - Statistics
2005

Transcriptome-wide association study of the plasma proteome reveals cis and trans regulatory mechanisms underlying complex traits.
Transcriptome-wide association study of the plasma proteome reveals cis and trans regulatory mechanisms underlying complex traits. Am J Hum Genet. 2024 Jan 30.
PMID: 38320554

On the problem of inflation in transcriptome-wide association studies.
On the problem of inflation in transcriptome-wide association studies. bioRxiv. 2023 Oct 20.
PMID: 37904952

Predicted Proteome Association Studies of Breast, Prostate, Ovarian, and Endometrial Cancers Implicate Plasma Protein Regulation in Cancer Susceptibility.
Predicted Proteome Association Studies of Breast, Prostate, Ovarian, and Endometrial Cancers Implicate Plasma Protein Regulation in Cancer Susceptibility. Cancer Epidemiol Biomarkers Prev. 2023 09 01; 32(9):1198-1207.
PMID: 37409955

Revealing polygenic pleiotropy using genetic risk scores for asthma.
Revealing polygenic pleiotropy using genetic risk scores for asthma. HGG Adv. 2023 10 12; 4(4):100233.
PMID: 37663543

Multivariate adaptive shrinkage improves cross-population transcriptome prediction and association studies in underrepresented populations.
Multivariate adaptive shrinkage improves cross-population transcriptome prediction and association studies in underrepresented populations. HGG Adv. 2023 Oct 12; 4(4):100216.
PMID: 37869564

Predicting molecular mechanisms of hereditary diseases by using their tissue-selective manifestation.
Predicting molecular mechanisms of hereditary diseases by using their tissue-selective manifestation. Mol Syst Biol. 2023 08 08; 19(8):e11407.
PMID: 37232043

Multivariate adaptive shrinkage improves cross-population transcriptome prediction for transcriptome-wide association studies in underrepresented populations.
Multivariate adaptive shrinkage improves cross-population transcriptome prediction for transcriptome-wide association studies in underrepresented populations. bioRxiv. 2023 May 20.
PMID: 36798214

A joint transcriptome-wide association study across multiple tissues identifies candidate breast cancer susceptibility genes.
A joint transcriptome-wide association study across multiple tissues identifies candidate breast cancer susceptibility genes. Am J Hum Genet. 2023 06 01; 110(6):950-962.
PMID: 37164006

Probabilistic integration of transcriptome-wide association studies and colocalization analysis identifies key molecular pathways of complex traits.
Probabilistic integration of transcriptome-wide association studies and colocalization analysis identifies key molecular pathways of complex traits. Am J Hum Genet. 2023 01 05; 110(1):44-57.
PMID: 36608684

Discerning asthma endotypes through comorbidity mapping.
Discerning asthma endotypes through comorbidity mapping. Nat Commun. 2022 11 07; 13(1):6712.
PMID: 36344522

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