Associated Papers
Trans-ancestral rare variant association study with machine learning-based phenotyping for metabolic dysfunction-associated steatotic liver disease.
Chen R et al.
Genome Biology, 2025
Genetic variants in patients with multiple arterial aneurysms.
Körfer D et al.
Langenbeck's Archives of Surgery, 2024
39382597 (PubMed )
Supplement: 423_2024_3488_MOESM2_ESM.xlsx › Supplemental_Table_2
Exome sequence analysis identifies rare coding variants associated with a machine learning-based marker for coronary artery disease.
Petrazzini BO et al.
Nature Genetics, 2024
XomAnnotate: Analysis of Heterogeneous and Complex Exome- A Step towards Translational Medicine.
Talukder AK et al.
Plos One, 2015
25905921 (PubMed )
Supplement: pone.0123569.s008.xls › BC11_ERR166336
The eSNV-detect: a computational system to identify expressed single nucleotide variants from transcriptome sequencing data.
Tang X et al.
Nucleic Acids Research, 2014
25352556 (PubMed )
Supplement: supp_gku1005_nar-01266-met-n-2014-File012.xlsx › TCGA-A8-A0A9-01A.domain
Integrated analysis of germline and somatic variants in ovarian cancer.
Kanchi KL et al.
Nature Communications, 2014
24448499 (PubMed )
Supplement: NIHMS551112-supplement-9.xlsx › S_Data_8
Rare variants in CFI, C3 and C9 are associated with high risk of advanced age-related macular degeneration.
Seddon JM et al.
Nature Genetics, 2013
24036952 (PubMed )
Supplement: NIHMS512112-supplement-2.xlsx › Supplementary_Table_2B
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