| Year |
Citation |
Score |
| 2023 |
Zigarelli AM, Venera HM, Receveur BA, Wolf JM, Westra J, Tintle NL. Multimarker omnibus tests by leveraging individual marker summary statistics from large biobanks. Annals of Human Genetics. PMID 36683423 DOI: 10.1111/ahg.12495 |
0.303 |
|
| 2019 |
Lai H, Imamura F, Korat AA, Murphy R, Tintle N, Bassett J, Chen J, Kroeger J, Forouhi N, Schulze M, Harris W, Vasan R, Hu F, Lemaitre R, Giles G, et al. OP36 Trans fatty acid biomarkers and incident type 2 diabetes: pooled analysis of 10 prospective cohort studies in the fatty acids and outcomes research consortium (FORCE) Journal of Epidemiology and Community Health. 73. DOI: 10.1136/Jech-2019-Ssmabstracts.36 |
0.308 |
|
| 2018 |
Veenstra J, Kalsbeek A, Koster K, Ryder N, Bos A, Huisman J, VanderBerg L, VanderWoude J, Tintle NL. Epigenome wide association study of SNP-CpG interactions on changes in triglyceride levels after pharmaceutical intervention: a GAW20 analysis. Bmc Proceedings. 12: 58. PMID 30275900 DOI: 10.1186/S12919-018-0144-7 |
0.403 |
|
| 2018 |
Vander Woude J, Huisman J, Vander Berg L, Veenstra J, Bos A, Kalsbeek A, Koster K, Ryder N, Tintle NL. Evaluating the performance of gene-based tests of genetic association when testing for association between methylation and change in triglyceride levels at GAW20. Bmc Proceedings. 12: 50. PMID 30275896 DOI: 10.1186/S12919-018-0124-Y |
0.391 |
|
| 2018 |
Tintle NL, Fardo DW, de Andrade M, Aslibekyan S, Bailey JN, Bermejo JL, Cantor RM, Ghosh S, Melton P, Wang X, MacCluer JW, Almasy L. GAW20: methods and strategies for the new frontiers of epigenetics and pharmacogenomics. Bmc Proceedings. 12: 26. PMID 30263042 DOI: 10.1186/S12919-018-0113-1 |
0.345 |
|
| 2018 |
Fuady AM, Lent S, Sarnowski C, Tintle NL. Application of novel and existing methods to identify genes with evidence of epigenetic association: results from GAW20. Bmc Genetics. 19: 72. PMID 30255777 DOI: 10.1186/S12863-018-0647-2 |
0.315 |
|
| 2018 |
Meyerholz DK, Tintle NL, Beck AP. Common Pitfalls in Analysis of Tissue Scores. Veterinary Pathology. 300985818794250. PMID 30131009 DOI: 10.1177/0300985818794250 |
0.339 |
|
| 2018 |
Kalsbeek A, Veenstra J, Westra J, Disselkoen C, Koch K, McKenzie KA, O'Bott J, Vander Woude J, Fischer K, Shearer GC, Harris WS, Tintle NL. A genome-wide association study of red-blood cell fatty acids and ratios incorporating dietary covariates: Framingham Heart Study Offspring Cohort. Plos One. 13: e0194882. PMID 29652918 DOI: 10.1371/Journal.Pone.0194882 |
0.388 |
|
| 2017 |
Grinde KE, Arbet J, Green A, O'Connell M, Valcarcel A, Westra J, Tintle N. Illustrating, Quantifying, and Correcting for Bias in Post-hoc Analysis of Gene-Based Rare Variant Tests of Association. Frontiers in Genetics. 8: 117. PMID 28959274 DOI: 10.3389/Fgene.2017.00117 |
0.401 |
|
| 2017 |
Veenstra J, Kalsbeek A, Westra J, Disselkoen C, Smith C, Tintle N. Genome-Wide Interaction Study of Omega-3 PUFAs and Other Fatty Acids on Inflammatory Biomarkers of Cardiovascular Health in the Framingham Heart Study. Nutrients. 9. PMID 28820441 DOI: 10.3390/Nu9080900 |
0.395 |
|
| 2017 |
Harris WS, Del Gobbo L, Tintle NL. The Omega-3 Index and relative risk for coronary heart disease mortality: Estimation from 10 cohort studies. Atherosclerosis. 262: 51-54. PMID 28511049 DOI: 10.1016/J.Atherosclerosis.2017.05.007 |
0.315 |
|
| 2016 |
Valcarcel A, Grinde K, Cook K, Green A, Tintle N. A multistep approach to single nucleotide polymorphism-set analysis: an evaluation of power and type I error of gene-based tests of association after pathway-based association tests. Bmc Proceedings. 10: 349-355. PMID 27980661 DOI: 10.1186/S12919-016-0055-4 |
0.409 |
|
| 2016 |
Green A, Cook K, Grinde K, Valcarcel A, Tintle N. A general method for combining different family-based rare-variant tests of association to improve power and robustness of a wide range of genetic architectures. Bmc Proceedings. 10: 165-170. PMID 27980630 DOI: 10.1186/S12919-016-0024-Y |
0.419 |
|
| 2016 |
Held E, Cape J, Tintle N. Comparing machine learning and logistic regression methods for predicting hypertension using a combination of gene expression and next-generation sequencing data. Bmc Proceedings. 10: 141-145. PMID 27980626 DOI: 10.1186/S12919-016-0020-2 |
0.302 |
|
| 2016 |
König IR, Auerbach J, Gola D, Held E, Holzinger ER, Legault MA, Sun R, Tintle N, Yang HC. Machine learning and data mining in complex genomic data-a review on the lessons learned in Genetic Analysis Workshop 19. Bmc Genetics. 17: 1. PMID 26866367 DOI: 10.1186/S12863-015-0315-8 |
0.312 |
|
| 2015 |
Greco B, Hainline A, Arbet J, Grinde K, Benitez A, Tintle N. A general approach for combining diverse rare variant association tests provides improved robustness across a wider range of genetic architectures. European Journal of Human Genetics : Ejhg. PMID 26508571 DOI: 10.1038/Ejhg.2015.194 |
0.368 |
|
| 2015 |
Powers S, DeJongh M, Best AA, Tintle NL. Cautions about the reliability of pairwise gene correlations based on expression data. Frontiers in Microbiology. 6: 650. PMID 26167162 DOI: 10.3389/Fmicb.2015.00650 |
0.319 |
|
| 2015 |
Tintle NL, Pottala JV, Lacey S, Ramachandran V, Westra J, Rogers A, Clark J, Olthoff B, Larson M, Harris W, Shearer GC. A genome-wide association study of saturated, mono- and polyunsaturated red blood cell fatty acids in the Framingham Heart Offspring Study. Prostaglandins, Leukotrienes, and Essential Fatty Acids. 94: 65-72. PMID 25500335 DOI: 10.1016/J.Plefa.2014.11.007 |
0.341 |
|
| 2015 |
Tintle NL, Newman JW, Shearer GC. A novel approach to identify optimal metabotypes of elongase and desaturase activities in prevention of acute coronary syndrome Metabolomics. DOI: 10.1007/S11306-015-0787-6 |
0.336 |
|
| 2014 |
Rogers A, Beck A, Tintle NL. Evaluating the concordance between sequencing, imputation and microarray genotype calls in the GAW18 data. Bmc Proceedings. 8: S22. PMID 25519374 DOI: 10.1186/1753-6561-8-S1-S22 |
0.407 |
|
| 2014 |
Greco B, Luedtke A, Hainline A, Alvarez C, Beck A, Tintle NL. Application of family-based tests of association for rare variants to pathways. Bmc Proceedings. 8: S105. PMID 25519359 DOI: 10.1186/1753-6561-8-S1-S105 |
0.37 |
|
| 2014 |
Hainline A, Alvarez C, Luedtke A, Greco B, Beck A, Tintle NL. Evaluation of the power and type I error of recently proposed family-based tests of association for rare variants. Bmc Proceedings. 8: S36. PMID 25519321 DOI: 10.1186/1753-6561-8-S1-S36 |
0.373 |
|
| 2014 |
Bickeböller H, Bailey JN, Beyene J, Cantor RM, Cordell HJ, Culverhouse RC, Engelman CD, Fardo DW, Ghosh S, König IR, Lorenzo Bermejo J, Melton PE, Santorico SA, Satten GA, Sun L, ... Tintle NL, et al. Genetic Analysis Workshop 18: Methods and strategies for analyzing human sequence and phenotype data in members of extended pedigrees. Bmc Proceedings. 8: S1. PMID 25519310 DOI: 10.1186/1753-6561-8-S1-S1 |
0.37 |
|
| 2014 |
Aslibekyan S, Almeida M, Tintle N. Pathway analysis approaches for rare and common variants: insights from Genetic Analysis Workshop 18. Genetic Epidemiology. S86-91. PMID 25112195 DOI: 10.1002/Gepi.21831 |
0.384 |
|
| 2014 |
Blue EM, Sun L, Tintle NL, Wijsman EM. Value of Mendelian laws of segregation in families: data quality control, imputation, and beyond. Genetic Epidemiology. 38: S21-8. PMID 25112184 DOI: 10.1002/Gepi.21821 |
0.359 |
|
| 2014 |
Cook K, Benitez A, Fu C, Tintle N. Evaluating the impact of genotype errors on rare variant tests of association. Frontiers in Genetics. 5: 62. PMID 24744770 DOI: 10.3389/Fgene.2014.00062 |
0.37 |
|
| 2013 |
Petersen A, Spratt J, Tintle NL. Incorporating prior knowledge to increase the power of genome-wide association studies. Methods in Molecular Biology (Clifton, N.J.). 1019: 519-41. PMID 23756909 DOI: 10.1007/978-1-62703-447-0_25 |
0.409 |
|
| 2013 |
Petersen A, Alvarez C, DeClaire S, Tintle NL. Assessing methods for assigning SNPs to genes in gene-based tests of association using common variants. Plos One. 8: e62161. PMID 23741293 DOI: 10.1371/Journal.Pone.0062161 |
0.394 |
|
| 2013 |
Liu K, Luedtke A, Tintle N. Optimal methods for using posterior probabilities in association testing. Human Heredity. 75: 2-11. PMID 23548776 DOI: 10.1159/000349974 |
0.349 |
|
| 2013 |
Liu K, Fast S, Zawistowski M, Tintle NL. A geometric framework for evaluating rare variant tests of association. Genetic Epidemiology. 37: 345-57. PMID 23526307 DOI: 10.1002/Gepi.21722 |
0.381 |
|
| 2013 |
Mayer-Jochimsen M, Fast S, Tintle NL. Assessing the impact of differential genotyping errors on rare variant tests of association. Plos One. 8: e56626. PMID 23472072 DOI: 10.1371/Journal.Pone.0056626 |
0.327 |
|
| 2012 |
Tintle NL, Sitarik A, Boerema B, Young K, Best AA, Dejongh M. Evaluating the consistency of gene sets used in the analysis of bacterial gene expression data. Bmc Bioinformatics. 13: 193. PMID 22873695 DOI: 10.1186/1471-2105-13-193 |
0.303 |
|
| 2011 |
Petersen A, Sitarik A, Luedtke A, Powers S, Bekmetjev A, Tintle NL. Evaluating methods for combining rare variant data in pathway-based tests of genetic association. Bmc Proceedings. 5: S48. PMID 22373429 DOI: 10.1186/1753-6561-5-S9-S48 |
0.395 |
|
| 2011 |
Luedtke A, Powers S, Petersen A, Sitarik A, Bekmetjev A, Tintle NL. Evaluating methods for the analysis of rare variants in sequence data. Bmc Proceedings. 5: S119. PMID 22373354 DOI: 10.1186/1753-6561-5-S9-S119 |
0.401 |
|
| 2011 |
Ghosh S, Bickeböller H, Bailey J, Bailey-Wilson JE, Cantor R, Culverhouse R, Daw W, Destefano AL, Engelman CD, Hinrichs A, Houwing-Duistermaat J, König IR, Kent J, Laird N, Pankratz N, ... ... Tintle N, et al. Identifying rare variants from exome scans: the GAW17 experience. Bmc Proceedings. 5: S1. PMID 22373325 DOI: 10.1186/1753-6561-5-S9-S1 |
0.343 |
|
| 2011 |
Tintle N, Aschard H, Hu I, Nock N, Wang H, Pugh E. Inflated type I error rates when using aggregation methods to analyze rare variants in the 1000 Genomes Project exon sequencing data in unrelated individuals: summary results from Group 7 at Genetic Analysis Workshop 17. Genetic Epidemiology. 35: S56-60. PMID 22128060 DOI: 10.1002/Gepi.20650 |
0.368 |
|
| 2011 |
Sun YV, Sung YJ, Tintle N, Ziegler A. Identification of genetic association of multiple rare variants using collapsing methods Genetic Epidemiology. 35. PMID 22128049 DOI: 10.1002/Gepi.20658 |
0.404 |
|
| 2010 |
Tintle N, Lantieri F, Lebrec J, Sohns M, Ballard D, Bickeböller H. Inclusion of a priori information in genome-wide association analysis. Genetic Epidemiology. S74-80. PMID 19924705 DOI: 10.1002/Gepi.20476 |
0.402 |
|
| 2009 |
Tintle NL, Borchers B, Brown M, Bekmetjev A. Comparing gene set analysis methods on single-nucleotide polymorphism data from Genetic Analysis Workshop 16. Bmc Proceedings. 3: S96. PMID 20018093 DOI: 10.1186/1753-6561-3-S7-S96 |
0.412 |
|
| 2009 |
Borchers B, Brown M, McLellan B, Bekmetjev A, Tintle NL. Incorporating duplicate genotype data into linear trend tests of genetic association: methods and cost-effectiveness. Statistical Applications in Genetics and Molecular Biology. 8: Article24. PMID 19492982 DOI: 10.2202/1544-6115.1433 |
0.423 |
|
| 2009 |
Tintle N, Gordon D, Van Bruggen D, Finch S. The cost effectiveness of duplicate genotyping for testing genetic association. Annals of Human Genetics. 73: 370-8. PMID 19344449 DOI: 10.1111/J.1469-1809.2009.00516.X |
0.577 |
|
| 2007 |
Tintle NL, Gordon D, McMahon FJ, Finch SJ. Using duplicate genotyped data in genetic analyses: testing association and estimating error rates. Statistical Applications in Genetics and Molecular Biology. 6: Article4. PMID 17402919 DOI: 10.2202/1544-6115.1251 |
0.61 |
|
| 2005 |
Tintle NL, Ahn K, Mendell NR, Gordon D, Finch SJ. Characteristics of replicated single-nucleotide polymorphism genotypes from COGA: Affymetrix and Center for Inherited Disease Research. Bmc Genetics. 6: S154. PMID 16451615 DOI: 10.1186/1471-2156-6-S1-S154 |
0.712 |
|
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