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A comprehensive 1000 Genomes-based genome-wide association meta-analysis of coronary artery disease

M. Nikpay, A. Goel, H. Won, et al.. (2015). Nature genetics. Cited 1,986 times. https://doi.org/10.1038/ng.3396

Defining the role of common variation in the genomic and biological architecture of adult human height

A. Wood, T. Esko, Jian Yang, et al.. (2014). Nature genetics. Cited 1,962 times. https://doi.org/10.1038/ng.3097

Loss-of-function mutations in APOC3, triglycerides, and coronary disease.

Jacy R. Crosby, G. Peloso, P. Auer, et al.. (2014). The New England journal of medicine. Cited 876 times. https://doi.org/10.1056/NEJMoa1307095

The Electronic Medical Records and Genomics (eMERGE) Network: past, present, and future

O. Gottesman, H. Kuivaniemi, G. Tromp, et al.. (2013). Genetics in Medicine. Cited 673 times. https://doi.org/10.1038/gim.2013.72

An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans

R. Scott, L. Scott, R. Mägi, et al.. (2017). Diabetes. Cited 660 times. https://doi.org/10.2337/db16-1253

Association analyses based on false discovery rate implicate new loci for coronary artery disease

C. Nelson, A. Goel, A. Butterworth, et al.. (2017). Nature Genetics. Cited 609 times. https://doi.org/10.1038/ng.3913

Coding Variation in ANGPTL4, LPL, and SVEP1 and the Risk of Coronary Disease.

N. Stitziel, K. Stirrups, Nicholas G. D. Masca, et al.. (2016). The New England journal of medicine. Cited 415 times. https://doi.org/10.1056/NEJMoa1507652

Association of low-frequency and rare coding-sequence variants with blood lipids and coronary heart disease in 56,000 whites and blacks.

G. Peloso, P. Auer, J. Bis, et al.. (2014). American journal of human genetics. Cited 334 times. https://doi.org/10.1016/j.ajhg.2014.01.009

Exome-wide association study of plasma lipids in >300,000 individuals

Dajiang J. Liu, G. Peloso, Haojie Yu, et al.. (2017). Nature genetics. Cited 323 times. https://doi.org/10.1038/ng.3977

Protein-altering variants associated with body mass index implicate pathways that control energy intake and expenditure underpinning obesity

V. Turcot, Yingchang Lu, H. Highland, et al.. (2017). Nature genetics. Cited 284 times. https://doi.org/10.1038/s41588-017-0011-x

Meta-analysis identifies common and rare variants influencing blood pressure and overlapping with metabolic trait loci

Chunyu Liu, A. Kraja, Jennifer A. Smith, et al.. (2016). Nature Genetics. Cited 256 times. https://doi.org/10.1038/ng.3660

A Meta-Analysis Identifies New Loci Associated with Body Mass index in Individuals of African Ancestry

K. Monda, K. Monda, Gary K. Chen, et al.. (2013). Nature genetics. Cited 255 times. https://doi.org/10.1038/ng.2608

Genome-wide association analyses for lung function and chronic obstructive pulmonary disease identify new loci and potential druggable targets

L. Wain, L. Wain, N. Shrine, et al.. (2017). Nature genetics. Cited 253 times. https://doi.org/10.1038/ng.3787

Systematic Evaluation of Pleiotropy Identifies 6 Further Loci Associated With Coronary Artery Disease

T. Webb, J. Erdmann, K. Stirrups, et al.. (2017). Journal of the American College of Cardiology. Cited 239 times. https://doi.org/10.1016/j.jacc.2016.11.056

Meta-Analysis of Genome-Wide Association Studies in African Americans Provides Insights into the Genetic Architecture of Type 2 Diabetes

M. Ng, D. Shriner, Brian H. Chen, et al.. (2014). PLoS Genetics. Cited 232 times. https://doi.org/10.1371/journal.pgen.1004517

Identification of new susceptibility loci for type 2 diabetes and shared etiological pathways with coronary heart disease

Wei Zhao, A. Rasheed, E. Tikkanen, et al.. (2017). Nature genetics. Cited 229 times. https://doi.org/10.1038/ng.3943

Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol.

L. Lange, Youna Hu, He Zhang, et al.. (2014). American journal of human genetics. Cited 220 times. https://doi.org/10.1016/j.ajhg.2014.01.010

Low-frequency and rare exome chip variants associate with fasting glucose and type 2 diabetes susceptibility

J. Wessel, Audrey Y. Chu, Sara M. Willems, et al.. (2015). Nature Communications. Cited 197 times. https://doi.org/10.1038/ncomms6897

Genome-wide association analysis of blood-pressure traits in African-ancestry individuals reveals common associated genes in African and non-African populations.

N. Franceschini, Ervin F. Fox, Zhaogong Zhang, et al.. (2013). American journal of human genetics. Cited 189 times. https://doi.org/10.1016/j.ajhg.2013.07.010

Directional dominance on stature and cognition in diverse human populations

Peter K. Joshi, T. Esko, Hannele Mattsson, et al.. (2015). Nature. Cited 172 times. https://doi.org/10.1038/nature14618

The CLIPMERGE PGx Program: Clinical Implementation of Personalized Medicine Through Electronic Health Records and Genomics–Pharmacogenomics

O. Gottesman, S. Scott, S. Ellis, et al.. (2013). Clinical Pharmacology & Therapeutics. Cited 151 times. https://doi.org/10.1038/clpt.2013.72

Single-trait and multi-trait genome-wide association analyses identify novel loci for blood pressure in African-ancestry populations

Jingjing Liang, T. Le, D. V. Edwards, et al.. (2017). PLoS Genetics. Cited 149 times. https://doi.org/10.1371/journal.pgen.1006728

Novel Blood Pressure Locus and Gene Discovery Using Genome-Wide Association Study and Expression Data Sets From Blood and the Kidney

L. Wain, Ahmad Vaez, R. Jansen, et al.. (2017). Hypertension. Cited 147 times. https://doi.org/10.1161/HYPERTENSIONAHA.117.09438

A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure.

Y. Sung, T. Winkler, L. de las Fuentes, et al.. (2018). American journal of human genetics. Cited 133 times. https://doi.org/10.1016/j.ajhg.2018.01.015

Discovery and fine-mapping of adiposity loci using high density imputation of genome-wide association studies in individuals of African ancestry: African Ancestry Anthropometry Genetics Consortium

M. Ng, M. Graff, Yingchang Lu, et al.. (2017). PLoS Genetics. Cited 124 times. https://doi.org/10.1371/journal.pgen.1006719

Genome-wide Study of Atrial Fibrillation Identifies Seven Risk Loci and Highlights Biological Pathways and Regulatory Elements Involved in Cardiac Development.

J. Nielsen, L. Fritsche, W. Zhou, et al.. (2018). American journal of human genetics. Cited 99 times. https://doi.org/10.1016/j.ajhg.2017.12.003

1000 Genomes-based meta-analysis identifies 10 novel loci for kidney function

Mathias Gorski, P. J. van der Most, A. Teumer, et al.. (2017). Scientific Reports. Cited 99 times. https://doi.org/10.1038/srep45040

Protein-altering and regulatory genetic variants near GATA4 implicated in bicuspid aortic valve

Bo Yang, Wei Zhou, Jiao Jiao, et al.. (2017). Nature Communications. Cited 96 times. https://doi.org/10.1038/ncomms15481

Platelet-Related Variants Identified by Exomechip Meta-analysis in 157,293 Individuals.

J. Eicher, Nathalie Chami, T. Kacprowski, et al.. (2016). American journal of human genetics. Cited 89 times. https://doi.org/10.1016/j.ajhg.2016.05.005

CNV-association meta-analysis in 191,161 European adults reveals new loci associated with anthropometric traits

A. Macé, M. Tuke, Patrick Deelen, et al.. (2017). Nature Communications. Cited 79 times. https://doi.org/10.1038/s41467-017-00556-x

Genetic Background of Patients from a University Medical Center in Manhattan: Implications for Personalized Medicine

B. Tayo, M. Teil, Liping Tong, et al.. (2011). PLoS ONE. Cited 75 times. https://doi.org/10.1371/journal.pone.0019166

Exome Genotyping Identifies Pleiotropic Variants Associated with Red Blood Cell Traits.

Nathalie Chami, Ming-Huei Chen, A. J. Slater, et al.. (2016). American journal of human genetics. Cited 72 times. https://doi.org/10.1016/j.ajhg.2016.05.007

Genome-wide association analysis of red blood cell traits in African Americans: the COGENT Network.

Zhao Chen, Hua Tang, R. Qayyum, et al.. (2013). Human molecular genetics. Cited 70 times. https://doi.org/10.1093/hmg/ddt087

Large-Scale Exome-wide Association Analysis Identifies Loci for White Blood Cell Traits and Pleiotropy with Immune-Mediated Diseases.

S. Tajuddin, U. Schick, J. Eicher, et al.. (2016). American journal of human genetics. Cited 57 times. https://doi.org/10.1016/j.ajhg.2016.05.003

Trans-ethnic Meta-analysis and Functional Annotation Illuminates the Genetic Architecture of Fasting Glucose and Insulin.

Ching‐Ti Liu, S. Raghavan, S. Raghavan, et al.. (2016). American journal of human genetics. Cited 57 times. https://doi.org/10.1016/j.ajhg.2016.05.006

SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function.

Man Li, Yong Li, Olivia Weeks, et al.. (2017). Journal of the American Society of Nephrology : JASN. Cited 49 times. https://doi.org/10.1681/ASN.2016020131

Association of exome sequences with plasma C-reactive protein levels in >9000 participants.

U. Schick, P. Auer, J. Bis, et al.. (2015). Human molecular genetics. Cited 47 times. https://doi.org/10.1093/hmg/ddu450

Transethnic Evaluation Identifies Low-Frequency Loci Associated With 25-Hydroxyvitamin D Concentrations

Jaeyoung Hong, K. Hatchell, J. Bradfield, et al.. (2018). The Journal of Clinical Endocrinology & Metabolism. Cited 33 times. https://doi.org/10.1210/jc.2017-01802

Variant Discovery and Fine Mapping of Genetic Loci Associated with Blood Pressure Traits in Hispanics and African Americans

N. Franceschini, C. Carty, Yingchang Lu, et al.. (2016). PLoS ONE. Cited 32 times. https://doi.org/10.1371/journal.pone.0164132

Trans-ethnic fine-mapping of genetic loci for body mass index in the diverse ancestral populations of the Population Architecture using Genomics and Epidemiology (PAGE) Study reveals evidence for multiple signals at established loci

L. Fernández-Rhodes, Jian Gong, J. Haessler, et al.. (2017). Human Genetics. Cited 30 times. https://doi.org/10.1007/s00439-017-1787-6

Genetic identification of a common collagen disease in Puerto Ricans via identity-by-descent mapping in a health system

G. Belbin, Jacqueline A. Odgis, Elena P Sorokin, et al.. (2017). eLife. Cited 29 times. https://doi.org/10.1101/141820

No Association of Coronary Artery Disease with X-Chromosomal Variants in Comprehensive International Meta-Analysis

C. Loley, Maris Alver, T. Assimes, et al.. (2016). Scientific Reports. Cited 29 times. https://doi.org/10.1038/srep35278

Fine-mapping of lipid regions in global populations discovers ethnic-specific signals and refines previously identified lipid loci.

N. Zubair, M. Graff, Jose Luis Ambite, et al.. (2016). Human molecular genetics. Cited 27 times. https://doi.org/10.1093/hmg/ddw358

Genome-Wide Association Study of Heavy Smoking and Daily/Nondaily Smoking in the Hispanic Community Health Study/Study of Latinos (HCHS/SOL)

N. Saccone, L. Emery, T. Sofer, et al.. (2018). Nicotine and Tobacco Research. Cited 25 times. https://doi.org/10.1093/ntr/ntx107

An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene‐Lifestyle Interactions Working Group

Y. Sung, T. Winkler, A. Manning, et al.. (2016). Genetic Epidemiology. Cited 22 times. https://doi.org/10.1002/gepi.21978

Trans-Ethnic Analysis of Metabochip Data Identifies Two New Loci Associated with BMI

Jian Gong, Katherine K. Nishimura, L. Fernández-Rhodes, et al.. (2017). International journal of obesity (2005). Cited 14 times. https://doi.org/10.1038/ijo.2017.304

Testing the role of predicted gene knockouts in human anthropometric trait variation

S. Lessard, A. Manning, C. Low-Kam, et al.. (2016). Human Molecular Genetics. Cited 10 times. https://doi.org/10.1093/hmg/ddw055
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