Associated Papers
Machine Learning-Based Approach Highlights the Use of a Genomic Variant Profile for Precision Medicine in Ovarian Failure.
Henarejos-Castillo I et al.
Journal of Personalized Medicine, 2021
34199109 (PubMed )
Supplement: jpm-11-00609-s001.zip › jpm-1233323-supplementary.pdf
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
The Analysis of Variants in the General Population Reveals That PMM2 Is Extremely Tolerant to Missense Mutations and That Diagnosis of PMM2-CDG Can Benefit from the Identification of Modifiers.
Citro V et al.
International Journal of Molecular Sciences, 2018
30061496 (PubMed )
Supplement: ijms-19-02218-s001.zip › supplementary_file_3.xlsx › Sheet1
Sources of discordance among germ-line variant classifications in ClinVar.
Yang S et al.
Genetics in Medicine : Official Journal of the American College of Medical Genetics, 2017
28569743 (PubMed )
Supplement: gim201760x7.xlsx › table_all_ExAC_consensus_Oct201
De Novo and Rare Variants at Multiple Loci Support the Oligogenic Origins of Atrioventricular Septal Heart Defects.
Priest JR et al.
Plos Genetics, 2016
27058611 (PubMed )
Supplement: pgen.1005963.s011.pdf
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-A2-A04Y-01A.domain
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