Associated Papers
ClinVar and HGMD genomic variant classification accuracy has improved over time, as measured by implied disease burden.
Sharo AG et al.
Genome Medicine, 2023
Whole Exome Sequencing to Find Candidate Variants for the Prediction of Kidney Transplantation Efficacy.
Aghamir SMK et al.
Genes, 2023
37372431 (PubMed )
Supplement: genes-14-01251-s001.zip › HGV__2.xlsx › _2
Significant variants of type 2 diabetes in the Arabian Region through an Integration of exome databases.
Goto K et al.
Plos One, 2021
Lifetime risk of autosomal recessive mitochondrial disorders calculated from genetic databases.
Tan J et al.
Ebiomedicine, 2020
32305867 (PubMed )
Supplement: mmc3.xlsx › Excluded_variants
The GenomeAsia 100K Project enables genetic discoveries across Asia.
Unknown Author
Nature, 2019
31802016 (PubMed )
Supplement: 41586_2019_1793_MOESM3_ESM.xlsx › S4b_-_Disease_Var
Structural Biology Helps Interpret Variants of Uncertain Significance in Genes Causing Endocrine and Metabolic Disorders.
Ittisoponpisan S et al.
Journal of the Endocrine Society, 2018
30019023 (PubMed )
Supplement: js.2018-00077.sd2.xls › Sheet1
Analysis of protein-coding genetic variation in 60,706 humans.
Lek M et al.
Nature, 2016
27535533 (PubMed )
Supplement: NIHMS798561-supplement-supp_table20.xlsx › SI_Table_20
Mitochondrial fatty acid oxidation defects--remaining challenges.
Gregersen N et al.
Journal of Inherited Metabolic Disease, 2008
The ACADS gene variation spectrum in 114 patients with short-chain acyl-CoA dehydrogenase (SCAD) deficiency is dominated by missense variations leading to protein misfolding at the cellular level.
Pedersen CB et al.
Human Genetics, 2008
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