Genotype imputation of Metabochip SNPs using a study-specific reference panel of ~4,000 haplotypes in African Americans from the Women's Health Initiative - Wikidata - awgldk - TriplyDB

Genotype imputation of Metabochip SNPs using a study-specific reference panel of ~4,000 haplotypes in African Americans from the Women's Health Initiative

Genotype imputation of Metabochip SNPs using a study-specific reference panel of ~4,000 haplotypes in African Americans from the Women's Health Initiative

http://www.wikidata.org/entity/Q36136132

about

Strategies for Imputing and Analyzing Rare Variants in Association Studies Imputation of the rare HOXB13 G84E mutation and cancer risk in a large population-based cohort Analysis of metabolic syndrome components in >15 000 african americans identifies pleiotropic variants: results from the population architecture using genomics and epidemiology study Fine-mapping of lipid regions in global populations discovers ethnic-specific signals and refines previously identified lipid loci.Variant Discovery and Fine Mapping of Genetic Loci Associated with Blood Pressure Traits in Hispanics and African Americans Whole-exome imputation of sequence variants identified two novel alleles associated with adult body height in African Americans.Genetics of hypertension: discoveries from the bench to human populations.Imputation of exome sequence variants into population- based samples and blood-cell-trait-associated loci in African Americans: NHLBI GO Exome Sequencing Project.Imputation of coding variants in African Americans: better performance using data from the exome sequencing project Integrative analysis of sequencing and array genotype data for discovering disease associations with rare mutations.Removing reference mapping biases using limited or no genotype data identifies allelic differences in protein binding at disease-associated loci.Evaluation of the metabochip genotyping array in African Americans and implications for fine mapping of GWAS-identified loci: the PAGE study.Single-nucleotide polymorphisms are associated with cognitive decline at Alzheimer's disease conversion within mild cognitive impairment patients.Fine-mapping and initial characterization of QT interval loci in African Americans.GACT: a Genome build and Allele definition Conversion Tool for SNP imputation and meta-analysis in genetic association studies.Association studies with imputed variants using expectation-maximization likelihood-ratio tests.A systematic mapping approach of 16q12.2/FTO and BMI in more than 20,000 African Americans narrows in on the underlying functional variation: results from the Population Architecture using Genomics and Epidemiology (PAGE) study.Trans-ethnic fine-mapping of lipid loci identifies population-specific signals and allelic heterogeneity that increases the trait variance explained.Prospective associations of coronary heart disease loci in African Americans using the MetaboChip: the PAGE study.Local exome sequences facilitate imputation of less common variants and increase power of genome wide association studies.Performance of genotype imputation for low frequency and rare variants from the 1000 genomes First genome-wide association study in an Australian aboriginal population provides insights into genetic risk factors for body mass index and type 2 diabetes One Size Doesn't Fit All - RefEditor: Building Personalized Diploid Reference Genome to Improve Read Mapping and Genotype Calling in Next Generation Sequencing Studies.Accuracy of imputation using the most common sires as reference population in layer chickens.When Does Choice of Accuracy Measure Alter Imputation Accuracy Assessments?Japonica array: improved genotype imputation by designing a population-specific SNP array with 1070 Japanese individuals MaCH-admix: genotype imputation for admixed populations A comprehensive SNP and indel imputability database.Fine Mapping and Identification of BMI Loci in African Americans.Genotype imputation in genome-wide association studies.Trans-ethnic fine-mapping of genetic loci for body mass index in the diverse ancestral populations of the Population Architecture using Genomics and Epidemiology (PAGE) Study reveals evidence for multiple signals at established loci.Transethnic insight into the genetics of glycaemic traits: fine-mapping results from the Population Architecture using Genomics and Epidemiology (PAGE) consortium.Fine-mapping, novel loci identification, and SNP association transferability in a genome-wide association study of QRS duration in African Americans.Across-Platform Imputation of DNA Methylation Levels Incorporating Nonlocal Information Using Penalized Functional Regression.The value of statistical or bioinformatics annotation for rare variant association with quantitative trait.Testing for modes of inheritance involving compound heterozygotes.HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle Statistics.Trans-ethnic analysis of metabochip data identifies two new loci associated with BMI.The genetic underpinnings of variation in ages at menarche and natural menopause among women from the multi-ethnic Population Architecture using Genomics and Epidemiology (PAGE) Study: A trans-ethnic meta-analysis

P2860

Q28081028-F5BD9E8F-219F-434A-9873-D783BE8E59E2 Q28386845-8567F94A-A0F9-435F-8B7C-75EE3621614D Q28392948-200E959D-7409-4BD8-8C55-3B836BD8B8DC Q30252583-14AA5869-D2E2-4C22-9D5B-1E7707006AEA Q30275744-99F8A703-5C33-436E-B2FE-4C7835598668 Q30362046-2376B0E5-D609-492A-9C84-B2D24025BE1E Q30408743-0C01EE6B-D1ED-4C43-AFD3-1A3C4E028BA9 Q30419441-EFD531ED-2E63-452D-ABAA-36C56B1BF31C Q30662194-263205AB-4C0E-4B3F-8104-116F76F04F79 Q30884271-8AD9F5FD-A949-4B0F-94EB-AE67EFA6930F Q30982599-0E529C7C-6D92-4A99-A074-2ED1AAA29590 Q31060192-311DD06B-6413-4B1F-A6C3-C7905199C4E4 Q33714700-8872B94D-B4C7-423B-886F-6F66FE95E912 Q34388513-91CEFFAF-9B73-4DEC-9761-B5470C1C30EA Q34468469-8A4E718B-0BFE-4E93-91C7-C691BEC1C31B Q34482659-EE175BD2-1F8C-4824-BA28-557A23F04C51 Q34558031-07CF8861-367A-47CE-A399-AAA623739B4E Q34649888-B8CAF307-167F-4E26-AC2F-CF796014DFA0 Q34775920-4DF18275-AC1B-4CB5-B346-55ECEEE04120 Q34849667-76409CAB-23C6-4500-B1FA-63E80238BCA6 Q35013642-72BC4CBE-1CB7-4F0F-B6C9-61BD46604C5E Q35168433-75FF9D35-AEFE-483C-B2B5-D6AC73A0990F Q35743902-C2591924-37F1-4EF6-8F9B-EF244C66B166 Q35748164-8F1D39FA-1384-4DDC-A8AF-2100E408A0C4 Q35803507-BAC15B05-D813-436A-90D6-4DFC0B0F8639 Q36254175-D4B6B2EF-E15B-4BC1-8EB5-5AFC8D514DCD Q36472911-167DA508-F8E0-46A9-80BE-B3CF9FE422D9 Q36603849-B860B688-376E-4546-9092-10E494E64222 Q37217089-72EEB899-04C1-495C-BD59-402D5B7A567B Q38121526-5A3B67C0-2351-4CED-AFD6-94A8B2FE199B Q38845982-3E473406-2BD4-419F-A29C-548E2F6EBF06 Q40041955-7603B2DC-995A-442C-B91F-8028B0077EF1 Q40505706-C4BC79DE-F6DD-42B9-A2E5-CFDCA96F9255 Q41310707-28C2440A-B324-4CF6-A3BC-9DAAED177CF3 Q42135854-D90C20B2-85EB-4335-B3D8-27453385148A Q44985009-9BDD7D24-1923-4A88-B8B0-505C138012DB Q46181482-791512D9-7857-4488-A838-FEFB27F2EC1C Q48142652-C1049A77-E8EB-47B5-AC8D-2DDC5A4C9951 Q57174781-F852DD3A-EF4B-469A-9A9A-BD328EBE0EFC

P2860

Genotype imputation of Metabochip SNPs using a study-specific reference panel of ~4,000 haplotypes in African Americans from the Women's Health Initiative

http://www.wikidata.org/entity/Q36136132

description

2012 nî lūn-bûn

@nan

2012年の論文

@ja

2012年論文

@yue

2012年論文

@zh-hant

2012年論文

@zh-hk

2012年論文

@zh-mo

2012年論文

@zh-tw

2012年论文

@wuu

2012年论文

@zh

2012年论文

@zh-cn

name

Genotype imputation of Metaboc ...... the Women's Health Initiative

@ast

Genotype imputation of Metaboc ...... the Women's Health Initiative

@en

type

label

Genotype imputation of Metaboc ...... the Women's Health Initiative

@ast

Genotype imputation of Metaboc ...... the Women's Health Initiative

@en

prefLabel

Genotype imputation of Metaboc ...... the Women's Health Initiative

@ast

Genotype imputation of Metaboc ...... the Women's Health Initiative

@en

P1433

Q36136132-F8034358-84FB-4D25-B20E-344333AD241A

P1476

Q36136132-07F601AA-BDEA-44FA-91B2-73D9087D41DF

P2093

Q36136132-0BD0740D-2D0C-42C0-ACB6-D9B6294A8623

Q36136132-3C4E15A8-4612-46B8-94D4-61E5C5266D03

Q36136132-506837B0-C5C6-49A7-A18F-E2883BF00F8A

Q36136132-6443A5BB-6E51-4DFD-B1A3-2231A7224ECE

Q36136132-8866C2CE-5C63-4C3D-9F35-A4C7745870FD

Q36136132-9A119105-016C-433C-B514-FF9D58E5F0AE

Q36136132-A47ED78D-C27B-43B3-A0A8-61E88ACCFE92

Q36136132-B02F8DC9-5A04-4B76-A0C4-AC854489B9EF

Q36136132-B22B13BD-32DD-48B9-B05F-4E162699E397

Q36136132-E2BA0398-5D5B-440E-8526-727BBCCBBA2F

P2860

Q36136132-02D94DB5-9F30-449E-A50C-9E0D1DECD1E0

Q36136132-04F4E082-6D88-408F-9CB5-BF739795C806

Q36136132-0C869AEB-A073-47A7-8B65-200A27B0365B

Q36136132-0F9BDEE7-47F1-473A-BE1C-22163638C557

Q36136132-1062D308-99DE-4DB2-834A-8AC8D236943F

Q36136132-1487D74A-F1EE-4C9F-813B-0437D25602B7

Q36136132-1B6BB593-5AFD-4389-89BA-6DA9840AAB64

Q36136132-23220778-742F-4103-B1C4-37AD0484142F

Q36136132-397943A5-4BC9-4543-9CCC-5DB8F199FF5E

Q36136132-3B5A5CBB-857F-43A6-8133-F2D24C335880

P304

Q36136132-7A13B07C-4284-4215-94CE-4629AFDF311A

P31

Q36136132-4D9CBE89-6205-4A50-8F25-7DB325DEC1A3

P356

Q36136132-98EEE063-E482-4149-B8B7-34AD1C82C903

P433

Q36136132-B58351B2-25D5-4034-9BC3-0374ADA6DE40

P478

Q36136132-E2647D71-9898-4816-8FE0-0463E83B5648

P50

Q36136132-18EEDE49-E122-46D6-B198-FD960B51A35B

Q36136132-39E33CC6-14DE-4B0E-9DEA-7F332E0A55FC

Q36136132-40B5A150-65A4-44BE-B3F1-919E40243AFA

Q36136132-7A19DC42-7B5E-4602-97F3-548ACEA68EF3

Q36136132-83518A62-9558-4C64-BD1B-1AFA6FF5B4C5

Q36136132-A809AC14-3B6B-4E48-8481-B2B14DE8225F

P577

Q36136132-D9D0F6AC-67C9-4C3C-AC83-140277FDCC82

P5875

Q36136132-AB010677-FE69-41B3-AED2-6DA70F113245

P698

Q36136132-E5C227FC-F4ED-40F4-AAA7-A887B3796FB2

P932

Q36136132-6F3878DC-8469-4657-8B0D-EC3A448200E1

P356

P1433

Genetic Epidemiology

P1476

Genotype imputation of Metaboc ...... the Women's Health Initiative

@en

P2093

Aaron K Aragaki

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

Cara Carty

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

Chris Carlson

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

Eric Yi Liu

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

Jeff Haessler

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

Kari E North

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

Lucia A Hindorff

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

Steven Buyske

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

Ulrike Peters

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

Wei Wang

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

P2860

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

Finding the missing heritability of complex diseases

A note on exact tests of Hardy-Weinberg equilibrium

Genome-wide association studies for complex traits: consensus, uncertainty and challenges

A map of human genome variation from population-scale sequencing

MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes

A unified approach to genotype imputation and haplotype-phase inference for large data sets of trios and unrelated individuals

A second generation human haplotype map of over 3.1 million SNPs

A haplotype map of the human genome

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

P304

107-117

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

P31

scholarly article

P356

10.1002/GEPI.21603

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

P433

2

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

P478

36

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

P50

Eric Boerwinkle

Charles Kooperberg

Loic Le Marchand

P577

2012-02-01T00:00:00Z

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

P5875

230592792

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

P698

22851474

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

P932

3410659

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