Evaluating and improving power in whole-genome association studies using fixed marker sets.
about
Isolated populations and complex disease gene identificationCYP2D6 gene variants: association with breast cancer specific survival in a cohort of breast cancer patients from the United Kingdom treated with adjuvant tamoxifenAccuracy of genome-wide imputation of untyped markers and impacts on statistical power for association studiesEstimation of significance thresholds for genomewide association scansGenome-wide meta-analyses identify multiple loci associated with smoking behavior.Genome-wide association study of advanced age-related macular degeneration identifies a role of the hepatic lipase gene (LIPC)Genome-wide and fine-resolution association analysis of malaria in West AfricaMaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypesA unified approach to genotype imputation and haplotype-phase inference for large data sets of trios and unrelated individualsGenome-wide association scan identifies candidate polymorphisms associated with differential response to anti-TNF treatment in rheumatoid arthritisA second generation human haplotype map of over 3.1 million SNPsTRAF1-C5 as a risk locus for rheumatoid arthritis--a genomewide studySingapore Genome Variation Project: a haplotype map of three Southeast Asian populationsPLINK: a tool set for whole-genome association and population-based linkage analysesIs genetic testing useful to predict type 2 diabetes?Clinical review: Genome-wide association studies of skeletal phenotypes: what we have learned and where we are headedSingleton SNPs in the human genome and implications for genome-wide association studiesWhole-genome association study of bipolar disorderA SUPER powerful method for genome wide association studyGenome-wide association studies and beyondMethodological challenges of genome-wide association analysis in AfricaVariation in human recombination rates and its genetic determinantsCardiovascular genomics, personalized medicine, and the National Heart, Lung, and Blood Institute: part I: the beginning of an eraPractical aspects of imputation-driven meta-analysis of genome-wide association studiesA variant in CDKAL1 influences insulin response and risk of type 2 diabetesAccelerating haplotype-based genome-wide association study using perfect phylogeny and phase-known reference dataAn integration of genome-wide association study and gene expression profiling to prioritize the discovery of novel susceptibility Loci for osteoporosis-related traits.Evaluation of genome-wide power of genetic association studies based on empirical data from the HapMap project.Estimating coverage and power for genetic association studies using near-complete variation data.An MCMC algorithm for haplotype assembly from whole-genome sequence dataApplication of genome-wide single nucleotide polymorphism typing: simple association and beyondWhole genome association mapping by incompatibilities and local perfect phylogeniesA pragmatic suggestion for dealing with results for candidate genes obtained from genome wide association studiesEvaluating the performance of commercial whole-genome marker sets for capturing common genetic variation.Applicability of DNA pools on 500 K SNP microarrays for cost-effective initial screens in genomewide association studiesGenome-wide association with diabetes-related traits in the Framingham Heart StudyGenome-wide association study of electrocardiographic and heart rate variability traits: the Framingham Heart Study.Power to detect risk alleles using genome-wide tag SNP panelsGene-centric characteristics of genome-wide association studiesCalibrating the performance of SNP arrays for whole-genome association studies.
P2860
Q21183904-3CAB4420-B434-4AC3-85FD-C2690201BAC7Q21195205-7A515B3D-EA46-4191-8DEC-8B2D88A9E289Q21283815-07EA9416-2ED2-4627-9E87-1E1EA4985552Q24289532-A3DF2B93-E5AB-4292-8A2B-759E27AC06DEQ24597886-3A04A95E-17C5-45DF-9AE9-FE46550399BBQ24622766-E590AA74-7978-4185-8CE5-B90FEDD6E6D9Q24632119-5A2DDFC9-D4AD-4D92-9625-DA988F8602D9Q24635938-C6ABC837-BFE4-479D-91BA-F8971DE409E5Q24644474-CE9E8C5F-1EC7-4A26-97BB-15A7508FEFD6Q24647387-565CD76A-34C8-4792-8BA1-C71C8AD975EBQ24651939-73DC28C6-6468-4DF6-9D15-E76C819E9B4BQ24657292-29FD4ED7-F7BA-42AE-8DA5-50E6F60C87A5Q24658199-FA4FD4B5-1C89-491C-9189-C3760ABF9E5DQ24677407-B893B711-520A-4491-9954-365444019FE0Q26859442-9B42158C-2938-4BC2-BAF6-302510C4A7A6Q27014915-4AC6C668-1412-4397-AFE7-5EAE4AC3AC84Q28264742-5FF50B47-2F7B-4C98-984A-9A901C5D3925Q28271419-06E2E4B5-C038-466C-923E-8E2869374856Q28655568-F9B1272D-961F-4234-BE23-98CA2CCFCB27Q28658449-9C698E46-8F82-4EEE-9E6B-439BF49AB797Q28681049-276EA72C-9ACB-4496-958D-6922FFB34EF2Q28743519-F4FF120E-D84D-47CD-B8D8-1BCF39EECA5AQ28744480-8788C3AD-A239-400B-860B-8A619469B1DCQ28749837-BFD6DEA1-44E7-4515-BAE8-D95A5880336BQ29614878-60E4864B-999D-4BB3-AB77-F235968FD479Q30000949-28D43092-BA03-4AEA-B654-DE54395734F5Q30435869-D1457D1A-586F-4F97-8FEA-37D9580B023DQ31120402-0320760B-25D6-4541-94EA-E65FEB65F0C3Q31159923-74D64A0E-351B-4909-B271-1A35905298B1Q31168359-8353DA05-2D77-4DE3-944E-809D21B9F456Q33259822-C1DAEB91-14C7-4CA0-8207-A389727CBF09Q33260502-1E154452-FDF9-42D9-A538-3FDAFC434501Q33284162-2C246A7C-AC25-4FFE-A320-A0306C54855FQ33287332-123364B2-9EC2-4D65-974F-B28D6C37CB2CQ33289927-A83F84D9-BDC8-4B1C-AD9F-C3570D663CEEQ33300811-C0539F0E-02CC-4E4E-87BF-0C2F08D10A60Q33300817-BA244211-A003-4B15-B767-371A91AB5A30Q33301926-135114BC-CC43-4E74-B4E7-D66E161CC7BAQ33308721-07BEA12B-456C-40FF-B8B6-87501F4E3C56Q33347139-05BCE75D-BC86-45B6-942A-F8986CEE7BCA
P2860
Evaluating and improving power in whole-genome association studies using fixed marker sets.
description
2006 nî lūn-bûn
@nan
2006年の論文
@ja
2006年学术文章
@wuu
2006年学术文章
@zh
2006年学术文章
@zh-cn
2006年学术文章
@zh-hans
2006年学术文章
@zh-my
2006年学术文章
@zh-sg
2006年學術文章
@yue
2006年學術文章
@zh-hant
name
Evaluating and improving power ...... udies using fixed marker sets.
@en
Evaluating and improving power ...... udies using fixed marker sets.
@nl
type
label
Evaluating and improving power ...... udies using fixed marker sets.
@en
Evaluating and improving power ...... udies using fixed marker sets.
@nl
prefLabel
Evaluating and improving power ...... udies using fixed marker sets.
@en
Evaluating and improving power ...... udies using fixed marker sets.
@nl
P2093
P2860
P50
P356
P1433
P1476
Evaluating and improving power ...... udies using fixed marker sets.
@en
P2093
Itsik Pe'er
Paul I W de Bakker
Roman Yelensky
P2860
P2888
P304
P356
10.1038/NG1816
P407
P577
2006-05-21T00:00:00Z