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Coffee, caffeine-related genes, and Parkinson's disease: A case-control study.
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- Movement Disorders, 2008, v. 23, n. 14, p. 2033, doi. 10.1002/mds.22247
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Number of children and risk of Parkinson's disease.
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- Movement Disorders, 2007, v. 22, n. 5, p. 632, doi. 10.1002/mds.21341
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Chemical exposures and Parkinson's disease: A population-based case-control study.
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- Movement Disorders, 2006, v. 21, n. 10, p. 1688, doi. 10.1002/mds.21009
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Parkin variants in North American Parkinson's disease: Cases and controls.
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- Movement Disorders, 2003, v. 18, n. 11, p. 1306, doi. 10.1002/mds.10601
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Case-control study of the α-synuclein interacting protein gene and Parkinson's disease.
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- Movement Disorders, 2003, v. 18, n. 11, p. 1233, doi. 10.1002/mds.10547
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- Article
Complex interactions in Parkinson's disease: A two-phased approach.
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- Movement Disorders, 2003, v. 18, n. 6, p. 631, doi. 10.1002/mds.10431
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- Article
Family-based association study of matrix metalloproteinase-3 and -9 haplotypes with susceptibility to ischemic white matter injury.
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- Human Genetics, 2006, v. 120, n. 5, p. 671, doi. 10.1007/s00439-006-0236-8
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- Article
A digital health weight-loss intervention in severe obesity.
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- Digital Health, 2020, v. 6, p. 1, doi. 10.1177/2055207620910279
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A digital health weight-loss intervention in severe obesity.
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- Digital Health, 2020, p. 1, doi. 10.1177/2055207620910279
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- Article
Association between SLC2A9 transporter gene variants and uric acid phenotypes in African American and white families.
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- Rheumatology, 2011, v. 50, n. 5, p. 871, doi. 10.1093/rheumatology/keq425
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- Article
Collaborative Analysis of α-Synuclein Gene Promoter Variability and Parkinson Disease.
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- JAMA: Journal of the American Medical Association, 2006, v. 296, n. 6, p. 661, doi. 10.1001/jama.296.6.661
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Society for Vascular Medicine and Biology abstracts.
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- Vascular Medicine, 2003, v. 8, n. 2, p. 135, doi. 10.1191/1358863x03vm480xx
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- Article
eMERGE Phenome-Wide Association Study (PheWAS) identifies clinical associations and pleiotropy for stop-gain variants.
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- BMC Medical Genomics, 2016, v. 9, p. 19, doi. 10.1186/s12920-016-0191-8
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- Article
The challenge of detecting epistasis (G×G Interactions): Genetic Analysis Workshop 16.
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- Genetic Epidemiology, 2009, v. 33, n. S1, p. S58, doi. 10.1002/gepi.20474
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Missing phenotype data imputation in pedigree data analysis.
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- Genetic Epidemiology, 2008, v. 32, n. 1, p. 52, doi. 10.1002/gepi.20261
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Summary of contributions to GAW15 Group 13: candidate gene association studies.
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- Genetic Epidemiology, 2007, v. 31, n. S1, p. S110, doi. 10.1002/gepi.20287
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Summary of contributions to GAW Group 12: Multivariate Methods.
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- Genetic Epidemiology, 2005, v. 29, n. S1, p. S91, doi. 10.1002/gepi.20115
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Random-effects Cox proportional hazards model: General variance components methods for time-to-event data.
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- Genetic Epidemiology, 2005, v. 28, n. 2, p. 97, doi. 10.1002/gepi.20043
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Multivariate linkage analysis of blood pressure and body mass index.
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- Genetic Epidemiology, 2004, v. 27, n. 1, p. 64, doi. 10.1002/gepi.20002
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Group 6: Pleiotropy and multivariate analysis.
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- Genetic Epidemiology, 2003, v. 25, n. 0, p. S50, doi. 10.1002/gepi.10284
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Diagnostic tools in linkage analysis for quantitative traits.
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- Genetic Epidemiology, 2003, v. 24, n. 4, p. 302, doi. 10.1002/gepi.10236
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Extension of variance components approach to incorporate temporal trends and longitudinal pedigree data analysis.
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- Genetic Epidemiology, 2002, v. 22, n. 3, p. 221, doi. 10.1002/gepi.01118
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A Comparison of Software Packages that Assess Linkage Using a Variance Components Approach.
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- Genetic Epidemiology, 2001, v. 21, p. S81, doi. 10.1002/gepi.2001.21.s1.s81
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Practical Application of Residuals from Survival Models in Quantitative Trait Linkage Analysis.
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- Genetic Epidemiology, 2001, v. 21, p. S811, doi. 10.1002/gepi.2001.21.s1.s811
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Segregation analysis of cancer in families of glioma patients.
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- Genetic Epidemiology, 2001, v. 20, n. 2, p. 258, doi. 10.1002/1098-2272(200102)20:2<258::AID-GEPI8>3.0.CO;2-N
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Ascertainment issues in variance components models.
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- Genetic Epidemiology, 2000, v. 19, n. 4, p. 333, doi. 10.1002/1098-2272(200012)19:4<333::AID-GEPI5>3.0.CO;2-#
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Genome scans for genetic predisposition to alcoholism by use of transmission disequilibrium test analyses.
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- Genetic Epidemiology, 1999, v. 17, p. S277, doi. 10.1002/gepi.1370170747
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Methods to estimate genetic components of variance for quantitative traits in family studies.
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- Genetic Epidemiology, 1999, v. 17, n. 1, p. 64, doi. 10.1002/(SICI)1098-2272(1999)17:1<64::AID-GEPI5>3.0.CO;2-M
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Parametric Linkage Analysis Identifies Five Novel Genome-Wide Significant Loci for Familial Lung Cancer.
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- Human Heredity, 2017, v. 82, n. 1/2, p. 64, doi. 10.1159/000479028
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Global Individual Ancestry Using Principal Components for Family Data.
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- Human Heredity, 2015, v. 80, n. 1, p. 1, doi. 10.1159/000381908
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Evaluating the Influence of Quality Control Decisions and Software Algorithms on SNP Calling for the Affymetrix 6.0 SNP Array Platform.
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- Human Heredity, 2011, v. 71, n. 4, p. 221, doi. 10.1159/000328843
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Genetic Analysis of Age-at-Onset for Cardiovascular Risk Factors in a Brazilian Family Study.
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- Human Heredity, 2009, v. 68, n. 2, p. 131, doi. 10.1159/000218111
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Comparison of Multivariate Tests for Genetic Linkage.
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- Human Heredity, 2001, v. 51, n. 3, p. 133, doi. 10.1159/000053334
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The Mayo Clinic Cohort Study of Personality and Aging: Design and Sampling, Reliability and Validity of Instruments, and Baseline Description.
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- Neuroepidemiology, 2006, v. 26, n. 3, p. 119, doi. 10.1159/000091019
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TNNI3K mutation in familial syndrome of conduction system disease, atrial tachyarrhythmia and dilated cardiomyopathy.
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- Human Molecular Genetics, 2014, v. 23, n. 21, p. 5793, doi. 10.1093/hmg/ddu297
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Genetic variation associated with circulating monocyte count in the eMERGE Network.
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- Human Molecular Genetics, 2013, v. 22, n. 10, p. 2119, doi. 10.1093/hmg/ddt010
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Elevated amyloid β protein (Aβ42) and late onset Alzheimer's disease are associated with single nucleotide polymorphisms in the urokinase-type plasminogen activator gene.
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- Human Molecular Genetics, 2005, v. 14, n. 3, p. 447, doi. 10.1093/hmg/ddi041
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Fine mapping of the α-T catenin gene to a quantitative trait locus on chromosome 10 in late-onset Alzheimer's disease pedigrees.
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- Human Molecular Genetics, 2003, v. 12, n. 23, p. 3133, doi. 10.1093/hmg/ddg343
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The challenge of detecting genotype-by-methylation interaction: GAW20.
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- BMC Genetics, 2018, v. 19, n. 1, p. N.PAG, doi. 10.1186/s12863-018-0650-7
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SNP interaction detection with Random Forests in high-dimensional genetic data.
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- BMC Bioinformatics, 2012, v. 13, n. 1, p. 164, doi. 10.1186/1471-2105-13-164
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Software comparison for evaluating genomic copy number variation for Affymetrix 6.0 SNP array platform.
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- BMC Bioinformatics, 2011, v. 12, n. 1, p. 220, doi. 10.1186/1471-2105-12-220
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Familial Aggregation of Common Sequence Variants on 15q24-25.1 in Lung Cancer.
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- JNCI: Journal of the National Cancer Institute, 2008, v. 100, n. 18, p. 1326, doi. 10.1093/jnci/djn268
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Mitochondrial DNA Content: Its Genetic Heritability and Association With Renal Cell Carcinoma.
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- JNCI: Journal of the National Cancer Institute, 2008, v. 100, n. 15, p. 1104, doi. 10.1093/jnci/djn213
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Genetic control of mRNA splicing as a potential mechanism for incomplete penetrance of rare coding variants.
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- Genetics, 2023, v. 224, n. 4, p. 1, doi. 10.1093/genetics/iyad115
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Robust, flexible, and scalable tests for Hardy-Weinberg equilibrium across diverse ancestries.
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- Genetics, 2021, v. 218, n. 1, p. 1, doi. 10.1093/genetics/iyab044
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The foundation of precision medicine: integration of electronic health records with genomics through basic, clinical, and translational research.
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- Frontiers in Genetics, 2015, v. 6, p. 1, doi. 10.3389/fgene.2015.00104
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Imputation and quality control steps for combining multiple genome-wide datasets.
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- Frontiers in Genetics, 2014, v. 5, p. 1, doi. 10.3389/fgene.2014.00370
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Controlling for population structure and genotyping platform bias in the eMERGE multi-institutional biobank linked to electronic health records.
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- Frontiers in Genetics, 2014, v. 5, p. 1, doi. 10.3389/fgene.2014.00352
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The ATXN2-SH2B3 locus is associated with peripheral arterial disease: an electronic medical record-based genome-wide association study.
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- Frontiers in Genetics, 2014, v. 5, p. 1, doi. 10.3389/fgene.2014.00166
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The ATXN2-SH2B3 locus is associated with peripheral arterial disease: an electronic medical record-based genome-wide association study.
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- Frontiers in Genetics, 2014, v. 5, p. 1, doi. 10.3389/fgene.2014.00166
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- Article