Tracing sub-structure in the European American population with PCA-informative markers.
about
Genomics assisted ancestry deconvolution in grapeGenome-wide insights into the patterns and determinants of fine-scale population structure in humansA genome-wide association study of carotid atherosclerosis in HIV-infected menPopulation Genomics and the Statistical Values of Race: An Interdisciplinary Perspective on the Biological Classification of Human Populations and Implications for Clinical Genetic Epidemiological ResearchTracing cattle breeds with principal components analysis ancestry informative SNPsRecent advances of genetic ancestry testing in biomedical research and direct to consumer testingAn evaluation of the genetic-matched pair study design using genome-wide SNP data from the European population.An assessment of the portability of ancestry informative markers between human populationsUnivariate/multivariate genome-wide association scans using data from families and unrelated samples.Inferring geographic coordinates of origin for Europeans using small panels of ancestry informative markers.Ancestral informative marker selection and population structure visualization using sparse Laplacian eigenfunctions.Measurement of admixture proportions and description of admixture structure in different U.S. populations.Patterns of population structure and environmental associations to aridity across the range of loblolly pine (Pinus taeda L., Pinaceae).Effect of population stratification analysis on false-positive rates for common and rare variants.Using ancestry-informative markers to identify fine structure across 15 populations of European origin.European American stratification in ovarian cancer case control data: the utility of genome-wide data for inferring ancestry.Rare and low frequency variant stratification in the UK population: description and impact on association tests.A comparison of principal component regression and genomic REML for genomic prediction across populationsSpatial localization of recent ancestors for admixed individuals.Patterns of admixture and population structure in native populations of Northwest North America.Controlling Population Structure in Human Genetic Association Studies with Samples of Unrelated Individuals.A genome-wide association study for coronary artery disease identifies a novel susceptibility locus in the major histocompatibility complex.Biogeographic ancestry, self-identified race, and admixture-phenotype associations in the Heart SCORE Study.Sparse principal component analysis for identifying ancestry-informative markers in genome-wide association studiesImproved ancestry inference using weights from external reference panels.Tests of association for quantitative traits in nuclear families using principal components to correct for population stratificationGenomic dissection of population substructure of Han Chinese and its implication in association studies.A panel of ancestry informative markers to estimate and correct potential effects of population stratification in Han Chinese.Meta-analysis methods for genome-wide association studies and beyond.Geographic substructure in craniometric estimates of admixture for contemporary American populations.Including additional controls from public databases improves the power of a genome-wide association study.Brazilian urban population genetic structure reveals a high degree of admixture.Population inference from contemporary American craniometrics.Association between genetic variants on chromosome 15q25 locus and several nicotine dependence traits in Polish population: a case-control study.Evaluation of the LIM homeobox genes LHX6 and LHX8 as candidates for Tourette syndrome.Identifying molecular markers associated with classification of genotypes by External Logistic Biplots.Genetic association analysis of N-methyl-D-aspartate receptor subunit gene GRIN2B and clinical response to clozapine.Investigating the Association of Genetic Admixture and Donor/Recipient Genetic Disparity with Transplant Outcomes.Efficient genomewide selection of PCA-correlated tSNPs for genotype imputation.A comparison of approaches to control for confounding factors by regression models.
P2860
Q21132421-4E40A064-A4F5-4C2B-A1CE-8651F79C1210Q21147078-98B51F2B-06CA-4409-859C-ACF1FE5AF443Q24622468-0BB708E2-BA50-42E4-9E2B-D9FD72ECA384Q26765823-222C4C3E-7BC6-41F8-A684-B9805AB2AD48Q28741333-465EB099-C688-40A0-BE13-B2572A4A06AEQ28752510-BDD762FB-408C-4825-80C2-E6EF4CF900D0Q33401217-EE449D6D-8C03-405C-9306-ACCAD5A60FD1Q33484433-3ED8860E-0327-4926-9A62-62DD19BAD5DBQ33490138-7CA3CED5-E880-44BB-BB4A-36262543A540Q33678719-802B4E47-74EA-42C6-AA32-C39D79FD9BFFQ33747836-86A125AF-33AC-4F79-9A9B-5BFB2C6F875AQ33839183-4A448A2D-6D4E-430F-9710-93A056960185Q34007966-98FABEAE-B84A-427C-B1A1-3730803B6E20Q34176552-3DB50FCC-9B2D-45B6-9082-AEF5B2AC4C78Q34215665-C820BCEE-42F4-4BA4-B2ED-D897D4A5B37DQ34270588-D6E2DC27-7E51-40DA-B957-87397A351220Q34306378-D5D109EB-1175-465D-98DA-4B8823457583Q34451902-AD243DAB-F3AB-40EF-B57F-B02C2D979E47Q34714023-F90E1D34-1D05-43D4-A6C9-48CDAAC2FD70Q35224939-0E86AA00-AA12-49AA-8144-0EC2368E749DQ35720573-10BB3ACC-66FE-4134-89BC-2FF7DBB35CF1Q35909380-26D19367-58BB-4C28-927B-D200E0387E32Q36383677-50E16BD3-2F92-4B95-99D6-A4859B5E608BQ36680666-8399DA42-31D4-4FF1-B4AF-708EDCA2372DQ36865877-7EAF9C30-8627-4DCA-ADE7-A5329A4ABD08Q37394166-284C378C-5807-4829-BAA3-782E1A2A610FQ37466190-C91222E4-A0B5-4514-87FC-4508BE1138F8Q37493049-DAD4E6C6-514C-4CF5-B21A-C74DBE8AC674Q38105261-BDABA68C-DC53-49A5-A213-CCD14BAE5DCFQ38375215-C9F657A8-033E-43AA-B145-C3B440EA27B2Q38375854-3440ACFE-5EB0-42C5-80ED-85C585B348A2Q39701155-F5F46BA2-E609-42F8-B56B-07B0BB09076BQ39986086-7308FDEA-EB6E-4B4E-A13D-FB8E976DDEA6Q42180838-7FC8022F-681C-4AFD-8731-F0A540581015Q42503810-309ADBAA-283E-4B39-A2DD-9A8447C22C12Q43750507-B58C980D-910F-4CA4-92F1-BBD83868A61FQ46913948-A74CAF27-836D-4276-879D-834F441B91DBQ50860011-70AD671A-516A-4E72-9426-81B00387AE1AQ51533507-C01D51F9-9D0D-48A0-B651-BC2102BB92F0Q53091326-0094EF6E-1037-4C6F-BD58-EF8E71D39EE2
P2860
Tracing sub-structure in the European American population with PCA-informative markers.
description
2008 nî lūn-bûn
@nan
2008 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
Tracing sub-structure in the European American population with PCA-informative markers.
@ast
Tracing sub-structure in the European American population with PCA-informative markers.
@en
type
label
Tracing sub-structure in the European American population with PCA-informative markers.
@ast
Tracing sub-structure in the European American population with PCA-informative markers.
@en
prefLabel
Tracing sub-structure in the European American population with PCA-informative markers.
@ast
Tracing sub-structure in the European American population with PCA-informative markers.
@en
P2093
P2860
P1433
P1476
Tracing sub-structure in the European American population with PCA-informative markers.
@en
P2093
Daniel I Chasman
Deborah A Nickerson
Jamey Lewis
Joshua D Smith
Paul M Ridker
Petros Drineas
Ronald M Krauss
P2860
P304
P356
10.1371/JOURNAL.PGEN.1000114
P577
2008-07-04T00:00:00Z