Improved imputation quality of low-frequency and rare variants in European samples using the 'Genome of The Netherlands'. - Wikidata - awgldk - TriplyDB

Improved imputation quality of low-frequency and rare variants in European samples using the 'Genome of The Netherlands'.

Improved imputation quality of low-frequency and rare variants in European samples using the 'Genome of The Netherlands'.

http://www.wikidata.org/entity/Q42948366

about

Genome of The Netherlands population-specific imputations identify an ABCA6 variant associated with cholesterol levels Guidelines for Large-Scale Sequence-Based Complex Trait Association Studies: Lessons Learned from the NHLBI Exome Sequencing Project.Integration of disease association and eQTL data using a Bayesian colocalisation approach highlights six candidate causal genes in immune-mediated diseases Calling genotypes from public RNA-sequencing data enables identification of genetic variants that affect gene-expression levels Comparison among three variant callers and assessment of the accuracy of imputation from SNP array data to whole-genome sequence level in chicken.A new strategy for enhancing imputation quality of rare variants from next-generation sequencing data via combining SNP and exome chip data.Refined mapping of autoimmune disease associated genetic variants with gene expression suggests an important role for non-coding RNAs.The impact of rare and low-frequency genetic variants in common disease Rare variant association studies: considerations, challenges and opportunities.Genotype harmonizer: automatic strand alignment and format conversion for genotype data integration.Molgenis-impute: imputation pipeline in a box The Gut Microbiome Contributes to a Substantial Proportion of the Variation in Blood Lipids.Cohort profile: LifeLines DEEP, a prospective, general population cohort study in the northern Netherlands: study design and baseline characteristics.Estimation of Genetic Relationships Between Individuals Across Cohorts and Platforms: Application to Childhood Height.Improving Phenotypic Prediction by Combining Genetic and Epigenetic Associations.Japonica array: improved genotype imputation by designing a population-specific SNP array with 1070 Japanese individuals Statistical colocalization of genetic risk variants for related autoimmune diseases in the context of common controls.Evaluation of transethnic fine mapping with population-specific and cosmopolitan imputation reference panels in diverse Asian populations A high-quality human reference panel reveals the complexity and distribution of genomic structural variants.Whole-genome sequence-based genomic prediction in laying chickens with different genomic relationship matrices to account for genetic architecture.Inclusion of Population-specific Reference Panel from India to the 1000 Genomes Phase 3 Panel Improves Imputation Accuracy.Exome Sequencing: Current and Future Perspectives.Genetic diversity of disease-associated loci in Turkish population.Disease variants alter transcription factor levels and methylation of their binding sites.Identification of context-dependent expression quantitative trait loci in whole blood.Inter-individual variability and genetic influences on cytokine responses to bacteria and fungi.A combined reference panel from the 1000 Genomes and UK10K projects improved rare variant imputation in European and Chinese samples.Improving power of association tests using multiple sets of imputed genotypes from distributed reference panels.Haplotype reference consortium panel: Practical implications of imputations with large reference panels.Improved imputation accuracy of rare and low-frequency variants using population-specific high-coverage WGS-based imputation reference panel.Assessing accuracy of imputation using different SNP panel densities in a multi-breed sheep population Population-specific genotype imputations using minimac or IMPUTE2.PLD3 variants in population studies.Strategies for phasing and imputation in a population isolate.Population Stratification in Genetic Association Studies.Imputation from SNP chip to sequence: a case study in a Chinese indigenous chicken population.

P2860

Q28652132-37B4A13C-F668-44F4-AD7C-F4D9E6F64C3C Q30275850-A38AEFE0-1F0E-4826-98DB-BF0CB2DFB1AF Q30904970-AEC78C27-B1A4-4B0D-8053-0CD7044C9463 Q30946789-43EF6270-1E7E-4828-8BC1-6899CD4C8D6A Q31008999-39308644-01D4-4555-BDB8-FA8424F8FB66 Q31034408-A5038A7C-AA5B-4702-B3EC-C1CC17CFCAA4 Q33565158-994B77BB-207B-488E-B959-59C7456379EF Q33613854-1E340DB3-5298-400D-A73E-A46AAB0B58CA Q35110309-C51E9CD3-AB2F-44E4-A6EF-1D9654B72AF6 Q35509349-6FB9C538-4FA0-4600-95B1-64138CF18DFC Q35749760-E9A81E8F-F0C8-457D-85EA-7CDE7422775A Q35769886-A6BE010C-B569-4DBB-BBD4-782E018B517F Q36011711-B1FFC299-CE48-46C3-98F2-018460059613 Q36031207-FE777224-9CD0-49B7-A72E-AA6EB7FF597E Q36066696-8F759C89-7A50-49E3-BF58-EEB52AEFA227 Q36254175-D870A51A-0D16-4338-BB6A-3BAF3E426E16 Q36583956-74083799-231C-4169-9859-75A553ECFDDC Q37058014-439C27FF-4992-4C1C-8996-F561236C51F9 Q37330443-360B433A-E9A1-4D7D-806D-0FF761578B07 Q37587796-CD558DCE-08F4-41B7-9B2C-2825A4D3E521 Q38656471-1013FBF2-374F-4E82-B290-94B8A080D1CC Q38988654-60AA9BE1-E6A1-4D3A-9F7A-97BB87F6CC33 Q39120701-FD9DC64E-C38A-4DBE-9EE6-C45F379B90BD Q39130364-5BBFBB6A-3916-4005-A738-C86D26243F95 Q39130372-685D7F56-3CA4-4AC3-9A8F-8F6E45D04C68 Q39633699-C7B2583C-2E64-4EC7-8880-F3495814C1D1 Q39681099-D55DB553-7531-4547-A463-FC280CD3764A Q40061670-F5E02842-B2E2-4690-A47B-2D20979228F0 Q40206067-9722BC74-F4EC-4DC4-B7F7-C4E58081CE25 Q41077917-F450DB68-4B8B-4346-80C1-E9324F9EBC28 Q41173633-006BD910-2076-46D0-B422-F07213FDBEBF Q41530610-BC8DFB5E-768E-4D5B-8806-6C88B9680D4B Q42725567-F72B45ED-5A5C-4EAA-86E5-AB0DD53F75EA Q48272232-948735FD-6781-41AD-8325-44151BB1EC1F Q50087966-D830013D-F6B2-40C5-8AD6-CAEA1350CED0 Q51415838-604472F8-DC5F-42AF-91B4-73E1717C1E58

P2860

Improved imputation quality of low-frequency and rare variants in European samples using the 'Genome of The Netherlands'.

http://www.wikidata.org/entity/Q42948366

description

2014 nî lūn-bûn

@nan

2014年の論文

@ja

2014年論文

@yue

2014年論文

@zh-hant

2014年論文

@zh-hk

2014年論文

@zh-mo

2014年論文

@zh-tw

2014年论文

@wuu

2014年论文

@zh

2014年论文

@zh-cn

name

Improved imputation quality of ...... e 'Genome of The Netherlands'.

@en

Improved imputation quality of ...... e 'Genome of The Netherlands'.

@nl

type

label

Improved imputation quality of ...... e 'Genome of The Netherlands'.

@en

Improved imputation quality of ...... e 'Genome of The Netherlands'.

@nl

prefLabel

Improved imputation quality of ...... e 'Genome of The Netherlands'.

@en

Improved imputation quality of ...... e 'Genome of The Netherlands'.

@nl

P1433

Q42948366-F6CAABEE-0715-4F96-8DA8-59B15DCCDFE9

P1476

Q42948366-44006B7B-4CEA-4598-A0D8-7A11E7A77D22

P2093

Q42948366-15045C4F-8B6C-455F-8D8F-BAE758E0BFA3

Q42948366-1AA1D74E-6474-4C72-84B1-EC1779CFFB79

Q42948366-3429F95F-6C13-4442-B41B-AC4CEE5FC3FF

Q42948366-647448BA-42E0-4CF9-A4D9-22AFF8FA2E88

Q42948366-7CBE7AE2-78EC-4F4B-84CA-F56FB01EF27A

Q42948366-7DD10E8B-653C-453D-8B4A-13D0700CD57B

Q42948366-96DD31AB-EC6D-431E-B582-85A703B2ADF3

Q42948366-9BE2BB65-5661-4117-BF8A-12D78992DB41

Q42948366-9BE3BE0A-7A40-4A74-B515-EE3BBC6725F2

Q42948366-9F1468A2-AD8E-4560-8514-2D3D18270693

P2860

Q42948366-053BBCFE-741F-49AF-B2F6-9B37922EE50B

Q42948366-062523FA-2AEA-468E-BA1F-E9AA1110BCD0

Q42948366-0D7DB3D7-E226-434A-8A72-BE82182E03D9

Q42948366-1555EA52-1A10-4BA4-A89E-7E25B547245D

Q42948366-1C319F3E-D441-4032-9BDA-F09120A5EE38

Q42948366-217F8F95-B3A7-46F3-9C22-47E9F21E832E

Q42948366-2C37E858-F0C8-4E07-97CD-B9F4223FFADD

Q42948366-32EBECD6-6D38-4CF2-82F5-482324F78646

Q42948366-4AA2319D-49B7-4FA8-863C-0528FEC4F8B0

Q42948366-5299EE7A-84F2-4E07-ADDA-F090362A11FA

P2888

Q42948366-7E094786-4E90-4CF5-A071-F27EF27C945A

P304

Q42948366-752C4DAA-FB9F-4B2B-A709-6CBCE80481B4

P31

Q42948366-15F01C9E-1904-41F3-B499-FE3969076C57

P356

Q42948366-CB5330CF-CBD6-4E2E-93B0-8B16CAD4525E

P433

Q42948366-E746BD32-2C0E-45D7-AF54-9913B5D835ED

P478

Q42948366-E5DD23ED-05FD-4920-820F-7F06032E5923

P50

Q42948366-08C1AFA8-43B6-4849-9B13-EA9566DBE49D

Q42948366-1CDB6C32-31F9-4CF0-B983-F8105B526AF5

Q42948366-393E6487-31EB-4C8B-BA28-D6082F1BB7F9

Q42948366-3C47FDF8-AA2E-4ABC-8819-6DEDCACED5FC

Q42948366-4C0316E4-0144-40AC-8266-8F948183F5A2

Q42948366-667BF4A9-BEDC-4455-AE16-BD7EB2D29D44

Q42948366-C0112F1E-E7B1-4A3F-9E22-484EA531B5D7

Q42948366-C3FB19E2-6DDA-42E8-9F93-BA08712B8431

Q42948366-E314CBBE-E873-49F3-8524-0E017456744F

Q42948366-E345A3DC-66E6-42CD-8657-25EB4FD8E286

P577

Q42948366-A39F7B47-BEE5-4A28-8B1C-7FD560EA3F44

P5875

Q42948366-D3508F49-513A-4BE4-A6B7-3EAA7B9E8944

P6179

Q42948366-27A5246A-5527-4CAD-A2DB-BFAF09DB9BAC

P698

Q42948366-91A55CAA-47DA-4713-A9D4-2F963653482F

P921

Q42948366-BF9AC0CF-4C4D-49A8-BCC1-A25D33803F69

P932

Q42948366-35F284C3-CB9F-4AE7-86FF-C21E0CEFF6C1

P356

P1433

European Journal of Human Genetics

P1476

Improved imputation quality of ...... e 'Genome of The Netherlands'.

@en

P2093

Alexandros Kanterakis

http://www.w3.org/2001/XMLSchema#string

Androniki Menelaou

http://www.w3.org/2001/XMLSchema#string

Elisabeth M van Leeuwen

http://www.w3.org/2001/XMLSchema#string

Eskil Kreiner-Møller

http://www.w3.org/2001/XMLSchema#string

Freerk van Dijk

http://www.w3.org/2001/XMLSchema#string

Genome of Netherlands Consortium

http://www.w3.org/2001/XMLSchema#string

Harm-Jan Westra

http://www.w3.org/2001/XMLSchema#string

Heorhiy Byelas

http://www.w3.org/2001/XMLSchema#string

Javier Gutierrez-Achury

http://www.w3.org/2001/XMLSchema#string

Jessica van Setten

http://www.w3.org/2001/XMLSchema#string

P2860

A flexible and accurate genotype imputation method for the next generation of genome-wide association studies

Accuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studies

Potential etiologic and functional implications of genome-wide association loci for human diseases and traits

Genotype imputation with thousands of genomes

PLINK: a tool set for whole-genome association and population-based linkage analyses

Principal components analysis corrects for stratification in genome-wide association studies

Efficiency and power in genetic association studies

A rare variant in MYH6 is associated with high risk of sick sinus syndrome

The Genome of the Netherlands: design, and project goals

Performance of genotype imputation for rare variants identified in exons and flanking regions of genes

P2888

P304

1321-1326

http://www.w3.org/2001/XMLSchema#string

P31

scholarly article

P356

10.1038/EJHG.2014.19

http://www.w3.org/2001/XMLSchema#string

P433

11

http://www.w3.org/2001/XMLSchema#string

P478

22

http://www.w3.org/2001/XMLSchema#string

P50

Fernando Rivadeneira

Cornelia M. van Duijn

Jouke-Jan Hottenga

Carolina Medina-Gomez

Lennart C Karssen

Jessica van Setten

David van Enckevort

P577

2014-06-04T00:00:00Z

http://www.w3.org/2001/XMLSchema#dateTime

P5875

263747471

http://www.w3.org/2001/XMLSchema#string

P6179

1036460474

http://www.w3.org/2001/XMLSchema#string

P698

24896149

http://www.w3.org/2001/XMLSchema#string

P921

P932

4200431

http://www.w3.org/2001/XMLSchema#string