| Year |
Citation |
Score |
| 2020 |
de Las Fuentes L, Sung YJ, Noordam R, Winkler T, Feitosa MF, Schwander K, Bentley AR, Brown MR, Guo X, Manning A, Chasman DI, Aschard H, Bartz TM, Bielak LF, Campbell A, ... ... Gauderman WJ, et al. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci. Molecular Psychiatry. PMID 32372009 DOI: 10.1038/S41380-020-0719-3 |
0.431 |
|
| 2019 |
Bradfield JP, Vogelezang S, Felix JF, Chesi A, Helgeland Ø, Horikoshi M, Karhunen V, Lowry E, Cousminer DL, Ahluwalia TS, Thiering E, Boh ET, Zafarmand MH, Vilor-Tejedor N, Wang CA, ... ... Gauderman WJ, et al. A Trans-ancestral Meta-Analysis of Genome-Wide Association Studies Reveals Loci Associated with Childhood Obesity. Human Molecular Genetics. PMID 31504550 DOI: 10.1093/Hmg/Ddz161 |
0.375 |
|
| 2019 |
de Vries PS, Brown MR, Bentley AR, Sung YJ, Winkler TW, Ntalla I, Schwander K, Kraja AT, Guo X, Franceschini N, Cheng CY, Sim X, Vojinovic D, Huffman JE, Musani SK, ... ... Gauderman WJ, et al. Multi-Ancestry Genome-Wide Association Study of Lipid Levels Incorporating Gene-Alcohol Interactions. American Journal of Epidemiology. PMID 30698716 DOI: 10.1093/Aje/Kwz005 |
0.335 |
|
| 2019 |
Kogan V, Millstein J, London SJ, Ober C, White SR, Naureckas ET, Gauderman WJ, Jackson DJ, Barraza-Villarreal A, Romieu I, Raby BA, Breton CV. Genetic-Epigenetic Interactions in Asthma Revealed by a Genome-Wide Gene-Centric Search. Human Heredity. 83: 130-152. PMID 30669148 DOI: 10.1159/000489765 |
0.305 |
|
| 2019 |
Gauderman WJ, Kim A, Conti DV, Morrison J, Thomas DC, Vora H, Lewinger JP. A Unified Model for the Analysis of Gene-Environment Interaction. American Journal of Epidemiology. PMID 30649161 DOI: 10.1093/Aje/Kwy278 |
0.336 |
|
| 2018 |
Moss LC, Gauderman WJ, Lewinger JP, Conti DV. Using Bayes model averaging to leverage both gene main effects and G × E interactions to identify genomic regions in genome-wide association studies. Genetic Epidemiology. PMID 30456811 DOI: 10.1002/Gepi.22171 |
0.55 |
|
| 2018 |
Waage J, Standl M, Curtin JA, Jessen LE, Thorsen J, Tian C, Schoettler N, Flores C, Abdellaoui A, Ahluwalia TS, Alves AC, Amaral AFS, Antó JM, ... ... Gauderman WJ, et al. Genome-wide association and HLA fine-mapping studies identify risk loci and genetic pathways underlying allergic rhinitis. Nature Genetics. PMID 30013184 DOI: 10.1038/S41588-018-0157-1 |
0.318 |
|
| 2018 |
Sung YJ, Winkler TW, de Las Fuentes L, Bentley AR, Brown MR, Kraja AT, Schwander K, Ntalla I, Guo X, Franceschini N, Lu Y, Cheng CY, Sim X, Vojinovic D, Marten J, ... ... Gauderman WJ, et al. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure. American Journal of Human Genetics. PMID 29455858 DOI: 10.1016/J.Ajhg.2018.01.015 |
0.326 |
|
| 2017 |
McAllister K, Mechanic LE, Amos C, Aschard H, Blair IA, Chatterjee N, Conti D, Gauderman WJ, Hsu L, Hutter CM, Jankowska MM, Kerr J, Kraft P, Montgomery SB, Mukherjee B, et al. Current Challenges and New Opportunities for Gene-Environment Interaction Studies of Complex Diseases. American Journal of Epidemiology. 186: 753-761. PMID 28978193 DOI: 10.1093/Aje/Kwx227 |
0.329 |
|
| 2017 |
Gauderman WJ, Mukherjee B, Aschard H, Hsu L, Lewinger JP, Patel CJ, Witte JS, Amos C, Tai CG, Conti D, Torgerson DG, Lee S, Chatterjee N. Update on the State of the Science for Analytical Methods for Gene-Environment Interactions. American Journal of Epidemiology. 186: 762-770. PMID 28978192 DOI: 10.1093/Aje/Kwx228 |
0.441 |
|
| 2017 |
Ritz BR, Chatterjee N, Garcia-Closas M, Gauderman WJ, Pierce BL, Kraft P, Tanner CM, Mechanic LE, McAllister K. Lessons Learned From Past Gene-Environment Interaction Successes. American Journal of Epidemiology. 186: 778-786. PMID 28978190 DOI: 10.1093/Aje/Kwx230 |
0.32 |
|
| 2017 |
Rao DC, Sung YJ, Winkler TW, Schwander K, Borecki I, Cupples LA, Gauderman WJ, Rice K, Munroe PB, Psaty BM. Multiancestry Study of Gene-Lifestyle Interactions for Cardiovascular Traits in 610 475 Individuals From 124 Cohorts: Design and Rationale. Circulation. Cardiovascular Genetics. 10. PMID 28620071 DOI: 10.1161/Circgenetics.116.001649 |
0.339 |
|
| 2016 |
Sung YJ, Winkler TW, Manning AK, Aschard H, Gudnason V, Harris TB, Smith AV, Boerwinkle E, Brown MR, Morrison AC, Fornage M, Lin LA, Richard M, Bartz TM, Psaty BM, ... ... Gauderman WJ, et al. 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. Genetic Epidemiology. PMID 27230302 DOI: 10.1002/Gepi.21978 |
0.369 |
|
| 2016 |
Zhang P, Lewinger JP, Conti D, Morrison JL, Gauderman WJ. Detecting Gene-Environment Interactions for a Quantitative Trait in a Genome-Wide Association Study. Genetic Epidemiology. PMID 27230133 DOI: 10.1002/Gepi.21977 |
0.511 |
|
| 2016 |
Ricker C, Culver JO, Lowstuter K, Sturgeon D, Sturgeon JD, Chanock CR, Gauderman WJ, McDonnell KJ, Idos GE, Gruber SB. Increased yield of actionable mutations using multi-gene panels to assess hereditary cancer susceptibility in an ethnically diverse clinical cohort. Cancer Genetics. PMID 26908360 DOI: 10.1016/J.Cancergen.2015.12.013 |
0.358 |
|
| 2015 |
Su YC, Gauderman WJ, Berhane K, Lewinger JP. Adaptive Set-Based Methods for Association Testing. Genetic Epidemiology. PMID 26707371 DOI: 10.1002/Gepi.21950 |
0.427 |
|
| 2014 |
Bunyavanich S, Schadt EE, Himes BE, Lasky-Su J, Qiu W, Lazarus R, Ziniti JP, Cohain A, Linderman M, Torgerson DG, Eng CS, Pino-Yanes M, Padhukasahasram B, Yang JJ, Mathias RA, ... ... Gauderman WJ, et al. Integrated genome-wide association, coexpression network, and expression single nucleotide polymorphism analysis identifies novel pathway in allergic rhinitis. Bmc Medical Genomics. 7: 48. PMID 25085501 DOI: 10.1186/1755-8794-7-48 |
0.342 |
|
| 2014 |
Kong Y, Khankhanian P, Himmelstein D, Hwang AE, Rand KA, Li D, Van Den Berg DJ, Diepstra A, Conti DV, Bhatia S, Gourraud P, Glaser SL, Mack TM, Oksenberg J, Onel K, ... ... Gauderman WJ, et al. Meta-Analysis of Hodgkin Lymphoma and Asthma Genome-Wide Association Scans reveals common variants in GATA3 Blood. 124: 135-135. DOI: 10.1182/Blood.V124.21.135.135 |
0.328 |
|
| 2013 |
Gauderman WJ, Zhang P, Morrison JL, Lewinger JP. Finding novel genes by testing G × E interactions in a genome-wide association study. Genetic Epidemiology. 37: 603-13. PMID 23873611 DOI: 10.1002/Gepi.21748 |
0.503 |
|
| 2013 |
Lewinger JP, Morrison JL, Thomas DC, Murcray CE, Conti DV, Li D, Gauderman WJ. Efficient two-step testing of gene-gene interactions in genome-wide association studies. Genetic Epidemiology. 37: 440-51. PMID 23633124 DOI: 10.1002/Gepi.21720 |
0.769 |
|
| 2013 |
Liu J, Lewinger JP, Gilliland FD, Gauderman WJ, Conti DV. Confounding and heterogeneity in genetic association studies with admixed populations. American Journal of Epidemiology. 177: 351-60. PMID 23334005 DOI: 10.1093/Aje/Kws234 |
0.32 |
|
| 2012 |
Gao X, Haritunians T, Marjoram P, McKean-Cowdin R, Torres M, Taylor KD, Rotter JI, Gauderman WJ, Varma R. Genotype Imputation for Latinos Using the HapMap and 1000 Genomes Project Reference Panels. Frontiers in Genetics. 3: 117. PMID 22754564 DOI: 10.3389/Fgene.2012.00117 |
0.392 |
|
| 2012 |
Thomas DC, Lewinger JP, Murcray CE, Gauderman WJ. Invited commentary: GE-Whiz! Ratcheting gene-environment studies up to the whole genome and the whole exposome. American Journal of Epidemiology. 175: 203-7; discussion 20. PMID 22199029 DOI: 10.1093/Aje/Kwr365 |
0.768 |
|
| 2011 |
Li D, Lewinger JP, Gauderman WJ, Murcray CE, Conti D. Using extreme phenotype sampling to identify the rare causal variants of quantitative traits in association studies. Genetic Epidemiology. 35: 790-9. PMID 21922541 DOI: 10.1002/Gepi.20628 |
0.732 |
|
| 2011 |
Murcray CE, Lewinger JP, Conti DV, Thomas DC, Gauderman WJ. Sample size requirements to detect gene-environment interactions in genome-wide association studies. Genetic Epidemiology. 35: 201-10. PMID 21308767 DOI: 10.1002/Gepi.20569 |
0.784 |
|
| 2010 |
Gauderman WJ, Thomas DC, Murcray CE, Conti D, Li D, Lewinger JP. Efficient genome-wide association testing of gene-environment interaction in case-parent trios. American Journal of Epidemiology. 172: 116-22. PMID 20543031 DOI: 10.1093/Aje/Kwq097 |
0.761 |
|
| 2009 |
Engelman CD, Baurley JW, Chiu YF, Joubert BR, Lewinger JP, Maenner MJ, Murcray CE, Shi G, Gauderman WJ. Detecting gene-environment interactions in genome-wide association data. Genetic Epidemiology. 33: S68-73. PMID 19924704 DOI: 10.1002/Gepi.20475 |
0.765 |
|
| 2009 |
Murcray CE, Lewinger JP, Gauderman WJ. Gene-environment interaction in genome-wide association studies. American Journal of Epidemiology. 169: 219-26. PMID 19022827 DOI: 10.1093/Aje/Kwn353 |
0.774 |
|
| 2009 |
Murcray CE, Lewinger JP, Gauderman WJ. Murcray et al. respond to the invited commentaries American Journal of Epidemiology. 169: 234-235. DOI: 10.1093/Aje/Kwn349 |
0.687 |
|
| 2007 |
Gauderman WJ, Murcray C, Gilliland F, Conti DV. Testing association between disease and multiple SNPs in a candidate gene. Genetic Epidemiology. 31: 383-95. PMID 17410554 DOI: 10.1002/Gepi.20219 |
0.745 |
|
| 2007 |
Kraft P, Yen YC, Stram DO, Morrison J, Gauderman WJ. Exploiting gene-environment interaction to detect genetic associations Human Heredity. 63: 111-119. PMID 17283440 DOI: 10.1159/000099183 |
0.416 |
|
| 2006 |
Millstein J, Conti DV, Gilliland FD, Gauderman WJ. A testing framework for identifying susceptibility genes in the presence of epistasis. American Journal of Human Genetics. 78: 15-27. PMID 16385446 DOI: 10.1086/498850 |
0.376 |
|
| 2005 |
Millstein J, Siegmund KD, Conti DV, Gauderman WJ. Identifying susceptibility genes by using joint tests of association and linkage and accounting for epistasis. Bmc Genetics. 6: S147. PMID 16451607 DOI: 10.1186/1471-2156-6-S1-S147 |
0.385 |
|
| 2004 |
Conti DV, Gauderman WJ. SNPs, haplotypes, and model selection in a candidate gene region: the SIMPle analysis for multilocus data. Genetic Epidemiology. 27: 429-41. PMID 15543635 DOI: 10.1002/Gepi.20039 |
0.327 |
|
| 2004 |
Gauderman WJ. Candidate gene association analysis for a quantitative trait, using parent-offspring trios. Genetic Epidemiology. 25: 327-38. PMID 14639702 DOI: 10.1002/gepi.10262 |
0.368 |
|
| 2004 |
Schaid DJ, Olson JM, Gauderman WJ, Elston RC. Regression models for linkage: issues of traits, covariates, heterogeneity, and interaction. Human Heredity. 55: 86-96. PMID 12931047 DOI: 10.1159/000072313 |
0.318 |
|
| 2003 |
Gauderman WJ, Macgregor S, Briollais L, Scurrah K, Tobin M, Park T, Wang D, Rao S, John S, Bull S. Longitudinal data analysis in pedigree studies. Genetic Epidemiology. 25: S18-28. PMID 14635165 DOI: 10.1002/Gepi.10280 |
0.337 |
|
| 2002 |
Gauderman WJ. Sample size requirements for association studies of gene-gene interaction. American Journal of Epidemiology. 155: 478-84. PMID 11867360 DOI: 10.1093/aje/155.5.478 |
0.309 |
|
| 2001 |
Gauderman WJ, Morrison JL, Siegmund KD. Should we consider gene x environment interaction in the hunt for quantitative trait loci? Genetic Epidemiology. 21: S831-6. PMID 11793788 DOI: 10.1002/Gepi.2001.21.S1.S831 |
0.351 |
|
| 2001 |
Gauderman WJ, Siegmund KD. Gene-environment interaction and affected sib pair linkage analysis. Human Heredity. 52: 34-46. PMID 11359066 DOI: 10.1159/000053352 |
0.407 |
|
| 2001 |
Gauderman WJ, Thomas DC. The role of interacting determinants in the localization of genes. Advances in Genetics. 42: 393-412. PMID 11037332 DOI: 10.1016/S0065-2660(01)42033-5 |
0.418 |
|
| 1999 |
Thomas DC, Qian D, Gauderman WJ, Siegmund K, Morrison JL. A generalized estimating equations approach to linkage analysis in sibships in relation to multiple markers and exposure factors. Genetic Epidemiology. 17: S737-42. PMID 10597523 DOI: 10.1002/Gepi.13701707121 |
0.337 |
|
| 1999 |
Siegmund KD, Gauderman WJ, Thomas DC. Association tests using unaffected-sibling versus pseudo-sibling controls. Genetic Epidemiology. 17: S731-6. PMID 10597522 DOI: 10.1002/Gepi.13701707120 |
0.333 |
|
| 1999 |
Gauderman WJ, Morrison JL, Siegmund KD, Thomas DC. A joint test of linkage and gene x environment interaction, with affected sib pairs. Genetic Epidemiology. 17: S563-8. PMID 10597493 DOI: 10.1002/Gepi.1370170791 |
0.386 |
|
| 1997 |
Gauderman WJ, Faucett CL. Detection of gene-environment interactions in joint segregation and linkage analysis. American Journal of Human Genetics. 61: 1189-99. PMID 9345092 DOI: 10.1086/301597 |
0.353 |
|
| 1994 |
Mack WJ, Gauderman WJ, Thomas DC. A bivariate genetic analysis of HDL- and LDL-cholesterol incorporating measured covariates: a Gibbs sampling application. Genetic Epidemiology. 10: 623-8. PMID 8314071 DOI: 10.1002/Gepi.1370100649 |
0.333 |
|
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