about
Genome-wide association analysis of pain severity in dysmenorrhea identifies association at chromosome 1p13.2, near the nerve growth factor locus.Genetic insights into juvenile idiopathic arthritis derived from deep whole genome sequencing.Deep Sequencing of 71 Candidate Genes to Characterize Variation Associated with Alcohol Dependence.Data on overlapping brain disorders and emerging drug targets in human Dopamine Receptors Interaction NetworkNetwork analysis of mitonuclear GWAS reveals functional networks and tissue expression profiles of disease-associated genes.Next-gen sequencing identifies non-coding variation disrupting miRNA-binding sites in neurological disorders.Impact of Nonsynonymous Single-Nucleotide Variations on Post-Translational Modification Sites in Human Proteins.The genetics revolution in rheumatology: large scale genomic arrays and genetic mapping.HKDC1 Is a Novel Hexokinase Involved in Whole-Body Glucose UseA Scalable Bayesian Method for Integrating Functional Information in Genome-wide Association Studies.Unique Allelic eQTL Clusters in Human MHC HaplotypesEpigenetic regulation of AXL and risk of childhood asthma symptoms.Genome-Wide Study of Subcutaneous and Visceral Adipose Tissue Reveals Novel Sex-Specific Adiposity Loci in Mexican Americans.Absence of Correlation between Chimeric RNA and Aging.TissGDB: tissue-specific gene database in cancer.PAGER 2.0: an update to the pathway, annotated-list and gene-signature electronic repository for Human Network Biology.Bioinformatics for precision oncology.SEGreg: a database for human specifically expressed genes and their regulations in cancer and normal tissue.Computational derivation of a molecular framework for hair follicle biology from disease genes.Identification of 22q13 genes most likely to contribute to Phelan McDermid syndrome.A common missense variant of LILRB5 is associated with statin intolerance and myalgia.Dynamic changes in copper homeostasis and post-transcriptional regulation of Atp7a during myogenic differentiation.Identifying noncoding risk variants using disease-relevant gene regulatory networks.Family with sequence similarity 83, member B is a predictor of poor prognosis and a potential therapeutic target for lung adenocarcinoma expressing wild-type epidermal growth factor receptor.The pharmacoepigenomics informatics pipeline defines a pathway of novel and known warfarin pharmacogenomics variants.A role for TENM1 mutations in congenital general anosmia.Alu exaptation enriches the human transcriptome by introducing new gene ends.Exome Sequencing Identifies Genetic Variants Associated with Circulating Lipid Levels in Mexican Americans: The Insulin Resistance Atherosclerosis Family Study (IRASFS).The multiple myeloma risk allele at 5q15 lowers ELL2 expression and increases ribosomal gene expression.Integrative Bioinformatics Approaches for Identification of Drug Targets in Hypertension.Genomic Analyses from Non-invasive Prenatal Testing Reveal Genetic Associations, Patterns of Viral Infections, and Chinese Population HistoryTo ERV Is Human: A Phenotype-Wide Scan Linking Polymorphic Human Endogenous Retrovirus-K Insertions to Complex PhenotypesGenome-Wide Association Study Identifies a Susceptibility Locus for Comitant Esotropia and Suggests a Parent-of-Origin EffectExome-wide analysis of bi-allelic alterations identifies a Lynch phenotype in The Cancer Genome AtlasDownregulation of the long noncoding RNA MBNL1-AS1 protects sevoflurane-pretreated mice against ischemia-reperfusion injury by targeting KCNMA1RNA variant identification discrepancy among splice-aware alignment algorithms
P2860
Q33703868-4EB7917A-9D44-4B7A-B7B6-72EBDC69C2A4Q33752910-A26432EF-D02F-4BA2-BA87-59D6920E5C79Q36280198-ED093BF2-743B-407F-BC02-F8E8AA67E657Q36365376-7CD11950-9BEC-4AA6-919C-BF1AF324D6D3Q37559800-006B5657-E278-4682-A24B-21F636EA52EAQ38746392-3116C321-6F46-48F0-B505-DD6DB7362D41Q38985072-061FEF47-5CDB-4205-A9CE-A57C35BCD8B3Q39343367-7DBD48AF-DF27-46BE-8326-212A77745933Q39559091-6966D9A7-CF61-4561-8509-103B51ECE11CQ40069028-5F807F50-B3E5-4E90-8F3D-B838829DA510Q41380914-A0672F53-FE36-489D-9DB1-E8D1587C50BCQ44877361-2CFE6B7B-C2D6-4A2C-8827-526A266EAF48Q46111515-C7F3CE1E-F0D5-4AF4-949F-C25EED32CA89Q46387458-C395AA03-2F10-4E9D-83FD-538F7FB092FAQ47105299-64AD2692-C9A2-4213-9F4F-01447EF66595Q47138916-F2C78F58-3A86-4E76-8304-C1C4DCB2D4D5Q47186490-E9CB54EB-AF8B-4715-88B5-1E239490A36EQ47198207-130C2D4C-A824-4506-A8F2-87590FAB377CQ47412156-0B6584D6-1DF3-4ED0-8291-894C8C7DD36CQ47552997-E4AFA1AA-7155-422E-A5E2-D84F3D0AF547Q47747535-F37C3039-2EF3-4D77-B199-92E0D0757821Q47864682-0A44D7A0-74B9-4F53-9F52-6E66DBC3E8A7Q49912692-BEECD57C-7151-4E6D-9572-775452459EF2Q50053792-F1086AFA-19E4-4DE2-AB47-3333361D44EAQ50199930-AE2DCD26-973D-413D-BEA2-7F4115018707Q52425135-966013D3-EF14-4ABF-B3C3-1A9AC096F224Q52679951-B0B43693-ED37-4EE8-8164-CF2BC9A1AD66Q53698331-73370E5C-5CAC-411D-8628-2378D7972136Q54980460-C30D5B14-F989-4507-9777-42E36527B2CFQ55346354-8CE9EBAB-89A2-4C6A-8B4E-D0EE223DE83EQ57025283-b25c45e5-4d07-9fa4-4c97-0f36cb1193caQ57169430-43828617-90AD-46FC-88A6-59ED55365E7DQ57172473-AF632B12-204C-4D16-9425-274FDC5D4766Q57646224-7C8BF21E-776B-4108-B549-6CABA2FACF84Q58763887-B000D3F8-F0F4-471C-9DC0-821B68851215Q58803757-DA7553F4-6F9C-400F-AD80-F1321D6D62B1
P2860
description
2015 nî lūn-bûn
@nan
2015年の論文
@ja
2015年学术文章
@wuu
2015年学术文章
@zh
2015年学术文章
@zh-cn
2015年学术文章
@zh-hans
2015年学术文章
@zh-my
2015年学术文章
@zh-sg
2015年學術文章
@yue
2015年學術文章
@zh-hant
name
The Genotype-Tissue Expression (GTEx) Project.
@en
The Genotype-Tissue Expression
@nl
type
label
The Genotype-Tissue Expression (GTEx) Project.
@en
The Genotype-Tissue Expression
@nl
prefLabel
The Genotype-Tissue Expression (GTEx) Project.
@en
The Genotype-Tissue Expression
@nl
P2860
P1476
The Genotype-Tissue Expression (GTEx) Project.
@en
P2093
Helen M Moore
Latarsha J Carithers
P2860
P304
P356
10.1089/BIO.2015.29031.HMM
P577
2015-10-01T00:00:00Z