 Connection
Christopher Gignoux to Transcriptome
This is a "connection" page, showing publications Christopher Gignoux has written about Transcriptome.
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Connection Strength |
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1.039 |
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Keys KL, Mak ACY, White MJ, Eckalbar WL, Dahl AW, Mefford J, Mikhaylova AV, Contreras MG, Elhawary JR, Eng C, Hu D, Huntsman S, Oh SS, Salazar S, Lenoir MA, Ye JC, Thornton TA, Zaitlen N, Burchard EG, Gignoux CR. On the cross-population generalizability of gene expression prediction models. PLoS Genet. 2020 08; 16(8):e1008927.
Score: 0.401
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Hu X, Araujo DS, Khunsriraksakul C, Wang L, Sun Q, Wen J, Zhou L, Ekunwe L, Lange LA, Lange EM, Montgomery SB, Reiner AP, Aguet F, Ardlie KG, Lappalainen T, Gignoux CR, Burchard EG, Taylor KD, Guo X, Rotter JI, Rich SS, Cornell E, Durda P, Tracy RP, Liu Y, Johnson WC, Papanicolaou GP, Perera MA, Cho MH, Liu DJ, Raffield LM, Li Y, Wheeler HE, Im HK, Manichaikul A. Multi-ancestry transcriptome prediction with functionally informed variants in TOPMed MESA improves performance of transcriptome-wide association studies. Am J Hum Genet. 2026 Apr 02; 113(4):828-841.
Score: 0.148
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Small AM, Yang TY, Itoh S, Thériault S, Dufresne L, Kurosawa R, Komuro I, Matsuda K, Vy HMT, Farber-Eger EH, Shaffer LL, Boulier KM, Corey KM, Ramaker ME, Laporte F, Schott JJ, Le Scouarnec S, Singh SA, Sonawane AR, Smith HA, Rafaels N, Ghouse J, Raja AA, Ostrowski SR, Sørensen E, Mikkelsen C, Pedersen OB, Erikstrup C, Ullum H, Sveinbjornsson G, Gudbjartsson DF, Abner E, Lee J, Ganna A, Nowak-Göttl U, Finer S, Schumacher J, Maj C, Al-Kassou B, Nickenig G, Trenkwalder T, Dreßen M, Krane M, Nöthen MM, Moksnes MR, Brumpton BM, Knight S, Knowlton KU, Nadauld L, Debiec R, Musameh MD, Braund PS, Nelson CP, Czuba T, Melander O, Selvaraj MS, Koyama S, Bhukar R, Ruan Y, Ljungberg J, Damrauer SM, Levin MG, Franke A, Berger K, Ruff CT, Melloni GEM, Kamanu FK, Ito K, Do R, Loos RJF, Schunkert H, Wells QS, Shah SH, Le Tourneau T, Messika-Zeitoun D, Gignoux C, Bundgaard H, Larsson SC, Michaëlsson K, Holm H, Helgadottir A, Esko T, van Heel DA, Mathieu P, Samani NJ, Smith JG, Söderberg S, Rader DJ, Marston NA, Sabatine MS, Pasaniuc B, Cho K, Wilson PWF, O'Donnell CJ, Stefansson K, Bossé Y, Aikawa E, Engert JC, Peloso GM, Natarajan P, Thanassoulis G. Genomic and transcriptomic analyses of aortic stenosis enhance therapeutic target discovery and disease prediction. Nat Genet. 2026 Jan; 58(1):57-66.
Score: 0.145
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Wittich H, Ardlie K, Taylor KD, Durda P, Liu Y, Mikhaylova A, Gignoux CR, Cho MH, Rich SS, Rotter JI, Manichaikul A, Im HK, Wheeler HE. Transcriptome-wide association study of the plasma proteome reveals cis and trans regulatory mechanisms underlying complex traits. Am J Hum Genet. 2024 03 07; 111(3):445-455.
Score: 0.128
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Araujo DS, Nguyen C, Hu X, Mikhaylova AV, Gignoux C, Ardlie K, Taylor KD, Durda P, Liu Y, Papanicolaou G, Cho MH, Rich SS, Rotter JI, Im HK, Manichaikul A, Wheeler HE. Multivariate adaptive shrinkage improves cross-population transcriptome prediction and association studies in underrepresented populations. HGG Adv. 2023 10 12; 4(4):100216.
Score: 0.123
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Slack SD, Esquinca E, Arehart CH, Boorgula MP, Szczesny B, Romero A, Campbell M, Chavan S, Rafaels N, Watson H, Landis RC, Hansel NN, Rotimi CN, Olopade CO, Figueiredo CA, Ober C, Liu AH, Kenny EE, Kammers K, Ruczinski I, Taub MA, Daya M, Gignoux CR, Kechris K, Barnes KC, Mathias RA, Johnson RK. Prediction and characterization of genetically regulated expression of asthma tissues from African-ancestry populations. J Allergy Clin Immunol. 2026 Jan; 157(1):253-261.
Score: 0.036
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Kachuri L, Mak ACY, Hu D, Eng C, Huntsman S, Elhawary JR, Gupta N, Gabriel S, Xiao S, Keys KL, Oni-Orisan A, Rodríguez-Santana JR, LeNoir MA, Borrell LN, Zaitlen NA, Williams LK, Gignoux CR, Burchard EG, Ziv E. Gene expression in African Americans, Puerto Ricans and Mexican Americans reveals ancestry-specific patterns of genetic architecture. Nat Genet. 2023 06; 55(6):952-963.
Score: 0.030
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Highland HM, Wojcik GL, Graff M, Nishimura KK, Hodonsky CJ, Baldassari AR, Cote AC, Cheng I, Gignoux CR, Tao R, Li Y, Boerwinkle E, Fornage M, Haessler J, Hindorff LA, Hu Y, Justice AE, Lin BM, Lin D, Stram DO, Haiman CA, Kooperberg C, Le Marchand L, Matise TC, Kenny EE, Carlson CS, Stahl EA, Avery CL, North KE, Ambite JL, Buyske S, Loos RJ, Peters U, Young KL, Bien SA, Huckins LM. Predicted gene expression in ancestrally diverse populations leads to discovery of susceptibility loci for lifestyle and cardiometabolic traits. Am J Hum Genet. 2022 04 07; 109(4):669-679.
Score: 0.028
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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