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1. Full Text Analysis commons, a team approach to discovery in a big-data environment for genetic epidemiology
by Brody, Jennifer A and Morrison, Alanna C and Bis, Joshua C and O'Connell, Jeffrey R and Brown, Michael R and Huffman, Jennifer E and Ames, Darren C and Carroll, Andrew and Conomos, Matthew P and Gabriel, Stacey and Gibbs, Richard A and Gogarten, Stephanie M and Gupta, Namrata and Jaquish, Cashell E and Johnson, Andrew D and Lewis, Joshua P and Liu, Xiaoming and Manning, Alisa K and Papanicolaou, George J and Pitsillides, Achilleas N and Rice, Kenneth M and Salerno, William and Sitlani, Colleen M and Smith, Nicholas L and Heckbert, Susan R and Laurie, Cathy C and Mitchell, Braxton D and Vasan, Ramachandran S and Rich, Stephen S and Rotter, Jerome I and Wilson, James G and Boerwinkle, Eric and Psaty, Bruce M and Cupples, L Adrienne and Cohorts Heart Aging Res and NHLBI Trans-Omics for Preci and TOPMed Hematology Hemost and CHARGE Analysis Bioinf and Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium and TOPMed Hematology and Hemostasis Working Group and CHARGE Analysis and Bioinformatics Working Group and NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium and The Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) Consortium
Nature genetics, ISSN 1061-4036, 11/2017, Volume 49, Issue 11, pp. 1560 - 1563
Life Sciences & Biomedicine | Genetics & Heredity | Science & Technology | Genetics, Population | Regression Analysis | Mobile Applications | Humans | Fibrinogen - metabolism | Information Dissemination - methods | Big Data | Workflow | Software | Genome | Molecular Epidemiology - methods | Fibrinogen - genetics | Genetic research | Forecasts and trends | Disease susceptibility | Genetic aspects | Research | Population genetics | Genetic screening | Health care | Heart | Genomics | Science | Genomes | Batch processing | Epidemiology | Datasets | Human populations | Consortia | Annotations | Data management | Precision medicine | Information sharing | Fibrinogen | Infrastructure | Bioinformatics | Public health | Medical research | Nucleotide sequence | Health risks | Data processing | Preventive medicine | Studies | Researchers | Lungs | Computation | Computer applications | Diabetes | Index Medicus
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2. Full Text Exploration of haplotype research consortium imputation for genome-wide association studies in 20,032 Generation Scotland participants
by Nagy, Reka and Boutin, Thibaud S and Marten, Jonathan and Huffman, Jennifer E and Kerr, Shona M and Campbell, Archie and Evenden, Louise and Gibson, Jude and Amador, Carmen and Howard, David M and Navarro, Pau and Morris, Andrew and Deary, Ian J and Hocking, Lynne J and Padmanabhan, Sandosh and Smith, Blair H and Joshi, Peter and Wilson, James F and Hastie, Nicholas D and Wright, Alan F and McIntosh, Andrew M and Porteous, David J and Haley, Chris S and Vitart, Veronique and Hayward, Caroline
Genome medicine, ISSN 1756-994X, 03/2017, Volume 9, Issue 1, pp. 1 - 23
Heart rate | Haplotype Research Consortium (HRC) | Quantitative trait | Urate | Genetics | Genome-wide association studies (GWAS) | Imputation | Glucose | Electronic health records | Life Sciences & Biomedicine | Genetics & Heredity | Science & Technology | Haplotypes | European Continental Ancestry Group - genetics | Genome-Wide Association Study | Fasting | Prospective Studies | Cross-Sectional Studies | Quantitative Trait, Heritable | Genes | Heart Rate - genetics | Humans | Male | Scotland | Blood Glucose - genetics | Female | Polymorphism, Single Nucleotide | Uric Acid - blood | Electronic Health Records | Conduction | Health services | Gout | Cognitive ability | Association analysis | Genomes | Biochemistry | Arthritis | Electronic medical records | Information systems | Datasets | Consortia | Calcium signalling | Body mass index | Language | Quality | Population | Blood pressure | Heart diseases | Deoxyribonucleic acid--DNA | Age | Creatinine | Crystals | Inflammation | Cholesterol | Studies | Ethnicity | Body mass | Alleles | Diabetes | Metabolic disorders | Index Medicus
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3. Full Text Genome-wide association study of peripheral artery disease in the Million Veteran Program
by Klarin, Derek and Lynch, Julie and Aragam, Krishna and Chaffin, Mark and Assimes, Themistocles L and Huang, Jie and Lee, Kyung Min and Shao, Qing and Huffman, Jennifer E and Natarajan, Pradeep and Arya, Shipra and Small, Aeron and Sun, Yan V and Vujkovic, Marijana and Freiberg, Matthew S and Wang, Lu and Chen, Jinbo and Saleheen, Danish and Lee, Jennifer S and Miller, Donald R and Reaven, Peter and Alba, Patrick R and Patterson, Olga V and DuVall, Scott L and Boden, William E and Beckman, Joshua A and Gaziano, J. Michael and Concato, John and Rader, Daniel J and Cho, Kelly and Chang, Kyong-Mi and Wilson, Peter W. F and O'Donnell, Christopher J and Kathiresan, Sekar and Program, V. A. Million Veteran and Tsao, Philip S and Damrauer, Scott M and VA Million Veteran Program
Nature medicine, ISSN 1078-8956, 08/2019, Volume 25, Issue 8, pp. 1274 - 1279
Biochemistry & Molecular Biology | Life Sciences & Biomedicine | Medicine, Research & Experimental | Science & Technology | Cell Biology | Research & Experimental Medicine | Cholesterol, LDL - genetics | Receptors, LDL - genetics | Factor Xa Inhibitors - therapeutic use | Genetic Predisposition to Disease | Genome-Wide Association Study | Peripheral Arterial Disease - genetics | Veterans | Humans | Middle Aged | Aged | Factor V - genetics | Technology application | Usage | Care and treatment | Medical records | Genetic aspects | Nucleotide sequencing | Peripheral vascular diseases | Risk factors | DNA sequencing | Phenotypes | Nucleotide sequence | Genomes | Lipoprotein lipase | Lipase | Thrombosis | Electronic medical records | Loci | Cholesterol | Morbidity | Lipoproteins | Vascular diseases | Arteriosclerosis | Atherosclerosis | Lipoprotein (low density) receptors | Genetic factors | Thromboembolism | Cardiovascular diseases | Electronic health records | Deoxyribonucleic acid--DNA | Index Medicus
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4. Full Text The choline transporter Slc44a2 controls platelet activation and thrombosis by regulating mitochondrial function
by Bennett, J. Allen and Mastrangelo, Michael A and Ture, Sara K and Smith, Charles O and Loelius, Shannon G and Berg, Rachel A and Shi, Xu and Burke, Ryan M and Spinelli, Sherry L and Cameron, Scott J and Carey, Thomas E and Brookes, Paul S and Gerszten, Robert E and Sabater-Lleal, Maria and de Vries, Paul S and Huffman, Jennifer E and Smith, Nicholas L and Morrell, Craig N and Lowenstein, Charles J
Nature communications, ISSN 2041-1723, 07/2020, Volume 11, Issue 1, pp. 3479 - 3479
Science & Technology - Other Topics | Multidisciplinary Sciences | Science & Technology | Health risks | Adenosine diphosphate | Oxygen consumption | Thrombin | Genomes | Metabolism | Thrombosis | Loci | Bleeding | Mitochondria | Choline | Genetic factors | Thromboembolism | Platelets | ATP | Transporter | Index Medicus | Medicin och hälsovetenskap
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5. Full Text A General Approach for Haplotype Phasing across the Full Spectrum of Relatedness
by O'Connell, Jared and Gurdasani, Deepti and Delaneau, Olivier and Pirastu, Nicola and Ulivi, Sheila and Cocca, Massimiliano and Traglia, Michela and Huang, Jie and Huffman, Jennifer E and Rudan, Igor and McQuillan, Ruth and Fraser, Ross M and Campbell, Harry and Polasek, Ozren and Asiki, Gershim and Ekoru, Kenneth and Hayward, Caroline and Wright, Alan F and Vitart, Veronique and Navarro, Pau and Zagury, Jean-Francois and Wilson, James F and Toniolo, Daniela and Gasparini, Paolo and Soranzo, Nicole and Sandhu, Manjinder S and Marchini, Jonathan
PLoS genetics, ISSN 1553-7390, 2014, Volume 10, Issue 4, pp. e1004234 - e1004234
Life Sciences & Biomedicine | Genetics & Heredity | Science & Technology | Haplotypes - genetics | Phenotype | Pedigree | Chromosome Mapping - methods | Humans | Recombination, Genetic - genetics | Family | Genotype | Cohort Effect | Models, Genetic | Genetic research | Research | Gene expression | Index Medicus | Studies | Haplotypes | Population | Parents & parenting | Statistical methods | Genetic recombination
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6. Full Text Epigenetic silencing of HNF1A associates with changes in the composition of the human plasma N-glycome
by Zoldoš, Vlatka and Horvat, Tomislav and Novokmet, Mislav and Cuenin, Cyrille and Mužinić, Ana and Pučić, Maja and Huffman, Jennifer E and Gornik, Olga and Polašek, Ozren and Campbell, Harry and Hayward, Caroline and Wright, Alan F and Rudan, Igor and Owen, Katharine and McCarthy, Mark I and Herceg, Zdenko and Lauc, Gordan
Epigenetics, ISSN 1559-2294, 02/2012, Volume 7, Issue 2, pp. 164 - 172
CpG methylation | plasma glycome | HNF1A | protein glycosylation | epigenetics | Binding | Proteins | Landes | Calcium | Bioscience | Biology | Cell | Cycle | Cancer | Organogenesis | Epigenetics | Hnf1a | Protein glycosylation | Plasma glycome | Biochemistry & Molecular Biology | Genetics & Heredity | Life Sciences & Biomedicine | Science & Technology | Cell Line | Polysaccharides - blood | Genetic Association Studies | Hepatocyte Nuclear Factor 1-alpha - genetics | Diabetes Mellitus, Type 2 - genetics | Glycomics | Humans | Long Interspersed Nucleotide Elements - genetics | Gene Silencing | DNA Methylation - genetics | Chromatography, High Pressure Liquid | Hepatocyte Nuclear Factor 1-alpha - metabolism | Diabetes Mellitus, Type 2 - blood | CpG Islands - genetics | Hydrophobic and Hydrophilic Interactions | Polysaccharides - chemistry | Index Medicus | Research Paper
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7. Full Text Genome-wide analysis of epistasis in body mass index using multiple human populations
by Wei, Wen-Hua and Hemani, Gib and Gyenesei, Attila and Vitart, Veronique and Navarro, Pau and Hayward, Caroline and Cabrera, Claudia P and Huffman, Jennifer E and Knott, Sara A and Hicks, Andrew A and Rudan, Igor and Pramstaller, Peter P and Wild, Sarah H and Wilson, James F and Campbell, Harry and Hastie, Nicholas D and Wright, Alan F and Haley, Chris S
European journal of human genetics : EJHG, ISSN 1018-4813, 08/2012, Volume 20, Issue 8, pp. 857 - 862
gene interaction | epistasis | pair-wise genome scan | body mass index | BMI | Biochemistry & Molecular Biology | Genetics & Heredity | Life Sciences & Biomedicine | Science & Technology | Fundamental and applied biological sciences. Psychology | Biological and medical sciences | Molecular and cellular biology | Genetics of eukaryotes. Biological and molecular evolution | Medical sciences | Medical genetics | Body Mass Index | European Continental Ancestry Group - genetics | Genome-Wide Association Study | Humans | Middle Aged | Male | Young Adult | Epistasis, Genetic | Adolescent | Aged, 80 and over | Adult | Female | Aged | Polymorphism, Single Nucleotide | Cohort Studies | Obesity | Genes | Epistasis | Genomes | Single-nucleotide polymorphism | Cadherin | Insulin | Studies | Body mass index | Hospitals | Population | Replication | Genetics | Bioinformatics | Power | Index Medicus | Insulin-like growth factors | Models | Regression analysis
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8. Full Text General Framework for Meta‐Analysis of Haplotype Association Tests
by Wang, Shuai and Zhao, Jing Hua and An, Ping and Guo, Xiuqing and Jensen, Richard A and Marten, Jonathan and Huffman, Jennifer E and Meidtner, Karina and Boeing, Heiner and Campbell, Archie and Rice, Kenneth M and Scott, Robert A and Yao, Jie and Schulze, Matthias B and Wareham, Nicholas J and Borecki, Ingrid B and Province, Michael A and Rotter, Jerome I and Hayward, Caroline and Goodarzi, Mark O and Meigs, James B and Dupuis, Josée
Genetic epidemiology, ISSN 0741-0395, 04/2016, Volume 40, Issue 3, pp. 244 - 252
family samples | haplotype association tests | linear mixed effects model | meta‐analysis | Family samples | Haplotype association tests | Linear mixed effects model | Meta-analysis | Genetics & Heredity | Life Sciences & Biomedicine | Science & Technology | Mathematical & Computational Biology | Heart | Glucose-6-Phosphatase - genetics | Multivariate Analysis | Meta-Analysis as Topic | Reproducibility of Results | Genetic Association Studies | Humans | Male | Haplotypes - genetics | Phenotype | Molecular Epidemiology | Aging | Glucose - metabolism | Least-Squares Analysis | Female | Genetic Variation - genetics | Models, Genetic | Fasting - metabolism | Neoplasm Proteins - genetics | Research Design | Cohort Studies | Epidemiology | Haplotypes | Index Medicus
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9. Full Text Genomics meets glycomics-the first GWAS study of human N-Glycome identifies HNF1α as a master regulator of plasma protein fucosylation
by Lauc, Gordan and Essafi, Abdelkader and Huffman, Jennifer E and Hayward, Caroline and Knežević, Ana and Kattla, Jayesh J and Polašek, Ozren and Gornik, Olga and Vitart, Veronique and Abrahams, Jodie L and Pučić, Maja and Novokmet, Mislav and Redžić, Irma and Campbell, Susan and Wild, Sarah H and Borovečki, Fran and Wang, Wei and Kolčić, Ivana and Zgaga, Lina and Gyllensten, Ulf and Wilson, James F and Wright, Alan F and Hastie, Nicholas D and Campbell, Harry and Rudd, Pauline M and Rudan, Igor
PLoS genetics, ISSN 1553-7404, 2010, Volume 6, Issue 12, pp. e1001256 - e1001256
Life Sciences & Biomedicine | Genetics & Heredity | Science & Technology | Index Medicus
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