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WNT16 influences bone mineral density, cortical bone thickness, bone strength, and osteoporotic fracture riskAn integrated approach of comparative genomics and heritability analysis of pig and human on obesity trait: evidence for candidate genes on human chromosome 2Finding the missing heritability of complex diseasesMultilocus genetic analysis of brain imagesJumping on the Train of Personalized Medicine: A Primer for Non-Geneticist Clinicians: Part 2. Fundamental Concepts in Genetic EpidemiologyPathogenesis of coronary artery disease: focus on genetic risk factors and identification of genetic variantsThe molecular genetic architecture of self-employmentGenetic association study identifies HSPB7 as a risk gene for idiopathic dilated cardiomyopathyReplicability and robustness of genome-wide-association studies for behavioral traitsPlacing epidemiological results in the context of multiplicity and typical correlations of exposuresESPRESSO: taking into account assessment errors on outcome and exposures in power analysis for association studiesP-values in genomics: apparent precision masks high uncertaintySystematic identification of interaction effects between genome- and environment-wide associations in type 2 diabetes mellitusA novel computational biostatistics approach implies impaired dephosphorylation of growth factor receptors as associated with severity of autism.The PhenX Toolkit: get the most from your measuresFrom Linkage Studies to Epigenetics: What We Know and What We Need to Know in the Neurobiology of SchizophreniaNutritional Genomics and the Mediterranean Diet's Effects on Human Cardiovascular HealthGenetics of coronary artery disease and myocardial infarctionAnalytical Complexity in Detection of Gene Variant-by-Environment Exposure Interactions in High-Throughput Genomic and Exposomic ResearchGenomic expression in non syndromic cleft lip and palate patients: A reviewGenome-wide association studies of chronic kidney disease: what have we learned?Epidemiological studies of esophageal cancer in the era of genome-wide association studiesLow-density lipoprotein cholesterol, apolipoprotein B, and risk of coronary heart disease: from familial hyperlipidemia to genomicsObesity: interactions of genome and nutrients intakeTeaching residents genomic pathology: a novel approach for new technologyResearch guidelines in the era of large-scale collaborations: an analysis of Genome-wide Association Study ConsortiaPharmacogenomics of chemotherapeutic susceptibility and toxicityGenetic determinants of depression: recent findings and future directionsA splice mutation in the PHKG1 gene causes high glycogen content and low meat quality in pig skeletal muscleGenetics of type 2 diabetes: pathophysiologic and clinical relevanceTilting at quixotic trait loci (QTL): an evolutionary perspective on genetic causationTherapy-related myeloid neoplasms: pathobiology and clinical characteristicsUsing lifetime risk estimates in personal genomic profiles: estimation of uncertaintyMining Genotype-Phenotype Associations from Public Knowledge Sources via Semantic Web QueryingIntegrated enrichment analysis of variants and pathways in genome-wide association studies indicates central role for IL-2 signaling genes in type 1 diabetes, and cytokine signaling genes in Crohn's diseaseGenome-wide association study of cardiac structure and systolic function in African Americans: the Candidate Gene Association Resource (CARe) studyUsing semantic web technologies for cohort identification from electronic health records for clinical researchDatabase of genetic studies of bipolar disorderIndividual and cumulative effects of GWAS susceptibility loci in lung cancer: associations after sub-phenotyping for COPDThe HapMap and genome-wide association studies in diagnosis and therapy
P2860
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P2860
description
2008 nî lūn-bûn
@nan
2008 թուականի Մարտին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի մարտին 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
How to interpret a genome-wide association study.
@ast
How to interpret a genome-wide association study.
@en
How to interpret a genome-wide association study.
@nl
type
label
How to interpret a genome-wide association study.
@ast
How to interpret a genome-wide association study.
@en
How to interpret a genome-wide association study.
@nl
prefLabel
How to interpret a genome-wide association study.
@ast
How to interpret a genome-wide association study.
@en
How to interpret a genome-wide association study.
@nl
P356
P1476
How to interpret a genome-wide association study.
@en
P2093
Thomas A Pearson
P304
P356
10.1001/JAMA.299.11.1335
P407
P50
P577
2008-03-01T00:00:00Z