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The publication data currently available has been vetted by Vanderbilt faculty, staff, administrators and trainees. The data itself is retrieved directly from NCBI's PubMed and is automatically updated on a weekly basis to ensure accuracy and completeness.

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Results: 1 to 10 of 582

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Contextualizing genetic risk score for disease screening and rare variant discovery.
Zhou D, Yu D, Scharf JM, Mathews CA, McGrath L, Cook E, Lee SH, Davis LK, Gamazon ER
(2021) Nat Commun 12: 4418
MeSH Terms: Clinical Decision-Making, Datasets as Topic, Genetic Predisposition to Disease, Genetic Testing, Genome-Wide Association Study, Humans, Models, Genetic, Multifactorial Inheritance, Polymorphism, Single Nucleotide, Risk Factors, Software, Whole Genome Sequencing
Added July 22, 2021
0 Communities
1 Members
0 Resources
12 MeSH Terms
An integrative systems-based analysis of substance use: eQTL-informed gene-based tests, gene networks, and biological mechanisms.
Gerring ZF, Vargas AM, Gamazon ER, Derks EM
(2021) Am J Med Genet B Neuropsychiatr Genet 186: 162-172
MeSH Terms: Gene Expression Profiling, Gene Regulatory Networks, Genetic Predisposition to Disease, Genetic Testing, Genome-Wide Association Study, Humans, Phenotype, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Substance-Related Disorders
Added December 30, 2020
0 Communities
1 Members
0 Resources
10 MeSH Terms
The GTEx Consortium atlas of genetic regulatory effects across human tissues.
GTEx Consortium
(2020) Science 369: 1318-1330
MeSH Terms: Datasets as Topic, Disease, Female, Gene Expression Regulation, Genome-Wide Association Study, Humans, Male, Organ Specificity, Quantitative Trait Loci, Sequence Analysis, RNA
Added September 15, 2020
0 Communities
1 Members
0 Resources
10 MeSH Terms
The impact of sex on gene expression across human tissues.
Oliva M, Muñoz-Aguirre M, Kim-Hellmuth S, Wucher V, Gewirtz ADH, Cotter DJ, Parsana P, Kasela S, Balliu B, Viñuela A, Castel SE, Mohammadi P, Aguet F, Zou Y, Khramtsova EA, Skol AD, Garrido-Martín D, Reverter F, Brown A, Evans P, Gamazon ER, Payne A, Bonazzola R, Barbeira AN, Hamel AR, Martinez-Perez A, Soria JM, GTEx Consortium, Pierce BL, Stephens M, Eskin E, Dermitzakis ET, Segrè AV, Im HK, Engelhardt BE, Ardlie KG, Montgomery SB, Battle AJ, Lappalainen T, Guigó R, Stranger BE
(2020) Science 369:
MeSH Terms: Chromosomes, Human, X, Disease, Epigenesis, Genetic, Female, Gene Expression, Gene Expression Regulation, Genetic Variation, Genome-Wide Association Study, Humans, Male, Organ Specificity, Promoter Regions, Genetic, Quantitative Trait Loci, Sex Characteristics, Sex Factors
Added September 15, 2020
0 Communities
1 Members
0 Resources
15 MeSH Terms
A Transcriptome-Wide Association Study Identifies Candidate Susceptibility Genes for Pancreatic Cancer Risk.
Liu D, Zhou D, Sun Y, Zhu J, Ghoneim D, Wu C, Yao Q, Gamazon ER, Cox NJ, Wu L
(2020) Cancer Res 80: 4346-4354
MeSH Terms: Age Factors, Case-Control Studies, European Continental Ancestry Group, Female, Gene Expression Regulation, Neoplastic, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Male, Models, Genetic, Pancreatic Neoplasms, Polymorphism, Single Nucleotide
Added September 15, 2020
0 Communities
1 Members
0 Resources
12 MeSH Terms
An analysis of genetically regulated gene expression across multiple tissues implicates novel gene candidates in Alzheimer's disease.
Gerring ZF, Lupton MK, Edey D, Gamazon ER, Derks EM
(2020) Alzheimers Res Ther 12: 43
MeSH Terms: Alzheimer Disease, Gene Expression, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Quantitative Trait Loci
Added April 18, 2020
0 Communities
1 Members
0 Resources
6 MeSH Terms
Transcriptome-wide association study of breast cancer risk by estrogen-receptor status.
Feng H, Gusev A, Pasaniuc B, Wu L, Long J, Abu-Full Z, Aittomäki K, Andrulis IL, Anton-Culver H, Antoniou AC, Arason A, Arndt V, Aronson KJ, Arun BK, Asseryanis E, Auer PL, Azzollini J, Balmaña J, Barkardottir RB, Barnes DR, Barrowdale D, Beckmann MW, Behrens S, Benitez J, Bermisheva M, Białkowska K, Blanco A, Blomqvist C, Boeckx B, Bogdanova NV, Bojesen SE, Bolla MK, Bonanni B, Borg A, Brauch H, Brenner H, Briceno I, Broeks A, Brüning T, Burwinkel B, Cai Q, Caldés T, Caligo MA, Campbell I, Canisius S, Campa D, Carter BD, Carter J, Castelao JE, Chang-Claude J, Chanock SJ, Christiansen H, Chung WK, Claes KBM, Clarke CL, GEMO Study Collaborators, EMBRACE Collaborators, GC-HBOC study Collaborators, Couch FJ, Cox A, Cross SS, Cybulski C, Czene K, Daly MB, de la Hoya M, De Leeneer K, Dennis J, Devilee P, Diez O, Domchek SM, Dörk T, Dos-Santos-Silva I, Dunning AM, Dwek M, Eccles DM, Ejlertsen B, Ellberg C, Engel C, Eriksson M, Fasching PA, Fletcher O, Flyger H, Fostira F, Friedman E, Fritschi L, Frost D, Gabrielson M, Ganz PA, Gapstur SM, Garber J, García-Closas M, García-Sáenz JA, Gaudet MM, Giles GG, Glendon G, Godwin AK, Goldberg MS, Goldgar DE, González-Neira A, Greene MH, Gronwald J, Guénel P, Haiman CA, Hall P, Hamann U, Hake C, He W, Heyworth J, Hogervorst FBL, Hollestelle A, Hooning MJ, Hoover RN, Hopper JL, Huang G, Hulick PJ, Humphreys K, Imyanitov EN, ABCTB Investigators, HEBON Investigators, BCFR Investigators, OCGN Investigators, Isaacs C, Jakimovska M, Jakubowska A, James P, Janavicius R, Jankowitz RC, John EM, Johnson N, Joseph V, Jung A, Karlan BY, Khusnutdinova E, Kiiski JI, Konstantopoulou I, Kristensen VN, Laitman Y, Lambrechts D, Lazaro C, Leroux D, Leslie G, Lester J, Lesueur F, Lindor N, Lindström S, Lo WY, Loud JT, Lubiński J, Makalic E, Mannermaa A, Manoochehri M, Manoukian S, Margolin S, Martens JWM, Martinez ME, Matricardi L, Maurer T, Mavroudis D, McGuffog L, Meindl A, Menon U, Michailidou K, Kapoor PM, Miller A, Montagna M, Moreno F, Moserle L, Mulligan AM, Muranen TA, Nathanson KL, Neuhausen SL, Nevanlinna H, Nevelsteen I, Nielsen FC, Nikitina-Zake L, Offit K, Olah E, Olopade OI, Olsson H, Osorio A, Papp J, Park-Simon TW, Parsons MT, Pedersen IS, Peixoto A, Peterlongo P, Peto J, Pharoah PDP, Phillips KA, Plaseska-Karanfilska D, Poppe B, Pradhan N, Prajzendanc K, Presneau N, Punie K, Pylkäs K, Radice P, Rantala J, Rashid MU, Rennert G, Risch HA, Robson M, Romero A, Saloustros E, Sandler DP, Santos C, Sawyer EJ, Schmidt MK, Schmidt DF, Schmutzler RK, Schoemaker MJ, Scott RJ, Sharma P, Shu XO, Simard J, Singer CF, Skytte AB, Soucy P, Southey MC, Spinelli JJ, Spurdle AB, Stone J, Swerdlow AJ, Tapper WJ, Taylor JA, Teixeira MR, Terry MB, Teulé A, Thomassen M, Thöne K, Thull DL, Tischkowitz M, Toland AE, Tollenaar RAEM, Torres D, Truong T, Tung N, Vachon CM, van Asperen CJ, van den Ouweland AMW, van Rensburg EJ, Vega A, Viel A, Vieiro-Balo P, Wang Q, Wappenschmidt B, Weinberg CR, Weitzel JN, Wendt C, Winqvist R, Yang XR, Yannoukakos D, Ziogas A, Milne RL, Easton DF, Chenevix-Trench G, Zheng W, Kraft P, Jiang X
(2020) Genet Epidemiol 44: 442-468
MeSH Terms: Breast Neoplasms, Estrogens, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomics, Humans, Receptors, Estrogen, Risk Assessment, Transcriptome, Vesicular Transport Proteins
Added March 3, 2020
0 Communities
1 Members
0 Resources
11 MeSH Terms
Leveraging Human Genetics to Identify Safety Signals Prior to Drug Marketing Approval and Clinical Use.
Jerome RN, Joly MM, Kennedy N, Shirey-Rice JK, Roden DM, Bernard GR, Holroyd KJ, Denny JC, Pulley JM
(2020) Drug Saf 43: 567-582
MeSH Terms: Drug Approval, Drug-Related Side Effects and Adverse Reactions, Electronic Health Records, European Continental Ancestry Group, Genome-Wide Association Study, Humans, Phenotype
Added March 24, 2020
0 Communities
1 Members
0 Resources
7 MeSH Terms
Predictive Accuracy of a Polygenic Risk Score Compared With a Clinical Risk Score for Incident Coronary Heart Disease.
Mosley JD, Gupta DK, Tan J, Yao J, Wells QS, Shaffer CM, Kundu S, Robinson-Cohen C, Psaty BM, Rich SS, Post WS, Guo X, Rotter JI, Roden DM, Gerszten RE, Wang TJ
(2020) JAMA 323: 627-635
MeSH Terms: Aged, Cohort Studies, Coronary Disease, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Incidence, Male, Middle Aged, Multifactorial Inheritance, Myocardial Infarction, Odds Ratio, Phenotype, Polymorphism, Single Nucleotide, Predictive Value of Tests, Proportional Hazards Models, Retrospective Studies, Risk, Risk Assessment
Added March 24, 2020
0 Communities
1 Members
0 Resources
MeSH Terms
Genome-wide meta-analysis associates GPSM1 with type 2 diabetes, a plausible gene involved in skeletal muscle function.
Ding Q, Tan ALM, Parra EJ, Cruz M, Sim X, Teo YY, Long J, Alsafar H, Petretto E, Tai ES, Chen H
(2020) J Hum Genet 65: 411-420
MeSH Terms: Animals, Asian Continental Ancestry Group, Diabetes Mellitus, Experimental, Diabetes Mellitus, Type 2, Genetic Predisposition to Disease, Genome-Wide Association Study, Guanine Nucleotide Dissociation Inhibitors, Humans, Mice, Muscle, Skeletal, Polymorphism, Single Nucleotide
Added March 3, 2020
0 Communities
1 Members
0 Resources
11 MeSH Terms