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Genomic medicine and the "loss of chance" medical malpractice doctrine.

HGG advances

Wagner JK, Meyer MN.
PMID: 34250511
HGG Adv. 2021 Jul 08;2(3). doi: 10.1016/j.xhgg.2021.100032. Epub 2021 Apr 05.

As genomic medicine expands, interest in how medical malpractice law will apply to such questions as whether and when to return new or updated genomic results has grown. Given that access to some genomic results (such as those pertaining...

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Wagner JK, Meyer MN. Genomic medicine and the "loss of chance" medical malpractice doctrine. HGG Adv. 2021;2(3)doi: 10.1016/j.xhgg.2021.100032.
Wagner, J. K., & Meyer, M. N. (2021). Genomic medicine and the "loss of chance" medical malpractice doctrine. HGG advances, 2(3), . https://doi.org/10.1016/j.xhgg.2021.100032
Wagner, Jennifer K, and Meyer, Michelle N. "Genomic medicine and the "loss of chance" medical malpractice doctrine." HGG advances vol. 2,3 (2021). doi: https://doi.org/10.1016/j.xhgg.2021.100032
Wagner JK, Meyer MN. Genomic medicine and the "loss of chance" medical malpractice doctrine. HGG Adv. 2021 Jul 08;2(3). doi: 10.1016/j.xhgg.2021.100032. Epub 2021 Apr 05. PMID: 34250511; PMCID: PMC8270012.
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Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide.

HGG advances

Stuart PE, Tsoi LC, Nair RP, Ghosh M, Kabra M, Shaiq PA, Raja GK, Qamar R, Thelma BK, Patrick MT, Parihar A, Singh S, Khandpur S, Kumar U, Wittig M, Degenhardt F, Tejasvi T, Voorhees JJ, Weidinger S, Franke A, Abecasis GR, Sharma VK, Elder JT.
PMID: 34927100
HGG Adv. 2022 Jan 13;3(1). doi: 10.1016/j.xhgg.2021.100069. Epub 2021 Nov 06.

Because transethnic analysis may facilitate prioritization of causal genetic variants, we performed a genomewide association study (GWAS) of psoriasis in South Asians (SAS), consisting of 2,590 cases and 1,720 controls. Comparison with our existing European-origin (EUR) GWAS showed that...

Cite
Stuart PE, Tsoi LC, Nair RP, et al. Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide. HGG Adv. 2021;3(1)doi: 10.1016/j.xhgg.2021.100069.
Stuart, P. E., Tsoi, L. C., Nair, R. P., Ghosh, M., Kabra, M., Shaiq, P. A., Raja, G. K., Qamar, R., Thelma, B. K., Patrick, M. T., Parihar, A., Singh, S., Khandpur, S., Kumar, U., Wittig, M., Degenhardt, F., Tejasvi, T., Voorhees, J. J., Weidinger, S., Franke, A., Abecasis, G. R., Sharma, V. K., & Elder, J. T. (2022). Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide. HGG advances, 3(1), . https://doi.org/10.1016/j.xhgg.2021.100069
Stuart, Philip E, et al. "Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide." HGG advances vol. 3,1 (2022). doi: https://doi.org/10.1016/j.xhgg.2021.100069
Stuart PE, Tsoi LC, Nair RP, Ghosh M, Kabra M, Shaiq PA, Raja GK, Qamar R, Thelma BK, Patrick MT, Parihar A, Singh S, Khandpur S, Kumar U, Wittig M, Degenhardt F, Tejasvi T, Voorhees JJ, Weidinger S, Franke A, Abecasis GR, Sharma VK, Elder JT. Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide. HGG Adv. 2022 Jan 13;3(1). doi: 10.1016/j.xhgg.2021.100069. Epub 2021 Nov 06. PMID: 34927100; PMCID: PMC8682265.
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Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals.

HGG advances

Chen H, Majumdar A, Wang L, Kar S, Brown KM, Feng H, Turman C, Dennis J, Easton D, Michailidou K, Simard J, Bishop T, Cheng IC, Huyghe JR, Schmit SL, O'Mara TA, Spurdle AB, Gharahkhani P, Schumacher J, Jankowski J, Gocke I, Bondy ML, Houlston RS, Jenkins RB, Melin B, Lesseur C, Ness AR, Diergaarde B, Olshan AF, Amos CI, Christiani DC, Landi MT, McKay JD, Brossard M, Iles MM, Law MH, MacGregor S, Beesley J, Jones MR, Tyrer J, Winham SJ, Klein AP, Petersen G, Li D, Wolpin BM, Eeles RA, Haiman CA, Kote-Jarai Z, Schumacher FR, Brennan P, Chanock SJ, Gaborieau V, Purdue MP, Pharoah P, Hung RJ, Amundadottir LT, Kraft P, Pasaniuc B, Lindström S.
PMID: 34355204
HGG Adv. 2021 Jul 08;2(3). doi: 10.1016/j.xhgg.2021.100041. Epub 2021 Jun 12.

Genome-wide association studies (GWASs) have identified thousands of cancer risk loci revealing many risk regions shared across multiple cancers. Characterizing the cross-cancer shared genetic basis can increase our understanding of global mechanisms of cancer development. In this study, we...

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Chen H, Majumdar A, Wang L, et al. Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals. HGG Adv. 2021;2(3)doi: 10.1016/j.xhgg.2021.100041.
Chen, H., Majumdar, A., Wang, L., Kar, S., Brown, K. M., Feng, H., Turman, C., Dennis, J., Easton, D., Michailidou, K., Simard, J., Bishop, T., Cheng, I. C., Huyghe, J. R., Schmit, S. L., O'Mara, T. A., Spurdle, A. B., Gharahkhani, P., Schumacher, J., Jankowski, J., Gocke, I., Bondy, M. L., Houlston, R. S., Jenkins, R. B., Melin, B., Lesseur, C., Ness, A. R., Diergaarde, B., Olshan, A. F., Amos, C. I., Christiani, D. C., Landi, M. T., McKay, J. D., Brossard, M., Iles, M. M., Law, M. H., MacGregor, S., Beesley, J., Jones, M. R., Tyrer, J., Winham, S. J., Klein, A. P., Petersen, G., Li, D., Wolpin, B. M., Eeles, R. A., Haiman, C. A., Kote-Jarai, Z., Schumacher, F. R., Brennan, P., Chanock, S. J., Gaborieau, V., Purdue, M. P., Pharoah, P., Hung, R. J., Amundadottir, L. T., Kraft, P., Pasaniuc, B., & Lindström, S. (2021). Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals. HGG advances, 2(3), . https://doi.org/10.1016/j.xhgg.2021.100041
Chen, Hongjie, et al. "Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals." HGG advances vol. 2,3 (2021). doi: https://doi.org/10.1016/j.xhgg.2021.100041
Chen H, Majumdar A, Wang L, Kar S, Brown KM, Feng H, Turman C, Dennis J, Easton D, Michailidou K, Simard J, Bishop T, Cheng IC, Huyghe JR, Schmit SL, O'Mara TA, Spurdle AB, Gharahkhani P, Schumacher J, Jankowski J, Gocke I, Bondy ML, Houlston RS, Jenkins RB, Melin B, Lesseur C, Ness AR, Diergaarde B, Olshan AF, Amos CI, Christiani DC, Landi MT, McKay JD, Brossard M, Iles MM, Law MH, MacGregor S, Beesley J, Jones MR, Tyrer J, Winham SJ, Klein AP, Petersen G, Li D, Wolpin BM, Eeles RA, Haiman CA, Kote-Jarai Z, Schumacher FR, Brennan P, Chanock SJ, Gaborieau V, Purdue MP, Pharoah P, Hung RJ, Amundadottir LT, Kraft P, Pasaniuc B, Lindström S. Large-scale cross-cancer fine-mapping of the 5p15.33 region reveals multiple independent signals. HGG Adv. 2021 Jul 08;2(3). doi: 10.1016/j.xhgg.2021.100041. Epub 2021 Jun 12. PMID: 34355204; PMCID: PMC8336922.
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Genetic Factors Associated with Prostate Cancer Conversion from Active Surveillance to Treatment.

HGG advances

Jiang Y, Meyers TJ, Emeka AA, Cooley LF, Cooper PR, Lancki N, Helenowski I, Kachuri L, Lin DW, Stanford JL, Newcomb LF, Kolb S, Finelli A, Fleshner NE, Komisarenko M, Eastham JA, Ehdaie B, Benfante N, Logothetis CJ, Gregg JR, Perez CA, Garza S, Kim J, Marks LS, Delfin M, Barsa D, Vesprini D, Klotz LH, Loblaw A, Mamedov A, Goldenberg SL, Higano CS, Spillane M, Wu E, Carter HB, Pavlovich CP, Mamawala M, Landis T, Carroll PR, Chan JM, Cooperberg MR, Cowan JE, Morgan TM, Siddiqui J, Martin R, Klein EA, Brittain K, Gotwald P, Barocas DA, Dallmer JR, Gordetsky JB, Steele P, Kundu SD, Stockdale J, Roobol MJ, Venderbos LDF, Sanda MG, Arnold R, Patil D, Evans CP, Dall'Era MA, Vij A, Costello AJ, Chow K, Corcoran NM, Rais-Bahrami S, Phares C, Scherr DS, Flynn T, Karnes RJ, Koch M, Dhondt CR, Nelson JB, McBride D, Cookson MS, Stratton KL, Farriester S, Hemken E, Stadler WM, Pera T, Banionyte D, Bianco FJ, Lopez IH, Loeb S, Taneja SS, Byrne N, Amling CL, Martinez A, Boileau L, Gaylis FD, Petkewicz J, Kirwen N, Helfand BT, Xu J, Scholtens DM, Catalona WJ, Witte JS.
PMID: 34993496
HGG Adv. 2022 Jan 13;3(1). doi: 10.1016/j.xhgg.2021.100070. Epub 2021 Nov 19.

Men diagnosed with low-risk prostate cancer (PC) are increasingly electing active surveillance (AS) as their initial management strategy. While this may reduce the side effects of treatment for prostate cancer, many men on AS eventually convert to active treatment....

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Jiang Y, Meyers TJ, Emeka AA, et al. Genetic Factors Associated with Prostate Cancer Conversion from Active Surveillance to Treatment. HGG Adv. 2021;3(1)doi: 10.1016/j.xhgg.2021.100070.
Jiang, Y., Meyers, T. J., Emeka, A. A., Cooley, L. F., Cooper, P. R., Lancki, N., Helenowski, I., Kachuri, L., Lin, D. W., Stanford, J. L., Newcomb, L. F., Kolb, S., Finelli, A., Fleshner, N. E., Komisarenko, M., Eastham, J. A., Ehdaie, B., Benfante, N., Logothetis, C. J., Gregg, J. R., Perez, C. A., Garza, S., Kim, J., Marks, L. S., Delfin, M., Barsa, D., Vesprini, D., Klotz, L. H., Loblaw, A., Mamedov, A., Goldenberg, S. L., Higano, C. S., Spillane, M., Wu, E., Carter, H. B., Pavlovich, C. P., Mamawala, M., Landis, T., Carroll, P. R., Chan, J. M., Cooperberg, M. R., Cowan, J. E., Morgan, T. M., Siddiqui, J., Martin, R., Klein, E. A., Brittain, K., Gotwald, P., Barocas, D. A., Dallmer, J. R., Gordetsky, J. B., Steele, P., Kundu, S. D., Stockdale, J., Roobol, M. J., Venderbos, L. D. F., Sanda, M. G., Arnold, R., Patil, D., Evans, C. P., Dall'Era, M. A., Vij, A., Costello, A. J., Chow, K., Corcoran, N. M., Rais-Bahrami, S., Phares, C., Scherr, D. S., Flynn, T., Karnes, R. J., Koch, M., Dhondt, C. R., Nelson, J. B., McBride, D., Cookson, M. S., Stratton, K. L., Farriester, S., Hemken, E., Stadler, W. M., Pera, T., Banionyte, D., Bianco, F. J., Lopez, I. H., Loeb, S., Taneja, S. S., Byrne, N., Amling, C. L., Martinez, A., Boileau, L., Gaylis, F. D., Petkewicz, J., Kirwen, N., Helfand, B. T., Xu, J., Scholtens, D. M., Catalona, W. J., & Witte, J. S. (2022). Genetic Factors Associated with Prostate Cancer Conversion from Active Surveillance to Treatment. HGG advances, 3(1), . https://doi.org/10.1016/j.xhgg.2021.100070
Jiang, Yu, et al. "Genetic Factors Associated with Prostate Cancer Conversion from Active Surveillance to Treatment." HGG advances vol. 3,1 (2022). doi: https://doi.org/10.1016/j.xhgg.2021.100070
Jiang Y, Meyers TJ, Emeka AA, Cooley LF, Cooper PR, Lancki N, Helenowski I, Kachuri L, Lin DW, Stanford JL, Newcomb LF, Kolb S, Finelli A, Fleshner NE, Komisarenko M, Eastham JA, Ehdaie B, Benfante N, Logothetis CJ, Gregg JR, Perez CA, Garza S, Kim J, Marks LS, Delfin M, Barsa D, Vesprini D, Klotz LH, Loblaw A, Mamedov A, Goldenberg SL, Higano CS, Spillane M, Wu E, Carter HB, Pavlovich CP, Mamawala M, Landis T, Carroll PR, Chan JM, Cooperberg MR, Cowan JE, Morgan TM, Siddiqui J, Martin R, Klein EA, Brittain K, Gotwald P, Barocas DA, Dallmer JR, Gordetsky JB, Steele P, Kundu SD, Stockdale J, Roobol MJ, Venderbos LDF, Sanda MG, Arnold R, Patil D, Evans CP, Dall'Era MA, Vij A, Costello AJ, Chow K, Corcoran NM, Rais-Bahrami S, Phares C, Scherr DS, Flynn T, Karnes RJ, Koch M, Dhondt CR, Nelson JB, McBride D, Cookson MS, Stratton KL, Farriester S, Hemken E, Stadler WM, Pera T, Banionyte D, Bianco FJ, Lopez IH, Loeb S, Taneja SS, Byrne N, Amling CL, Martinez A, Boileau L, Gaylis FD, Petkewicz J, Kirwen N, Helfand BT, Xu J, Scholtens DM, Catalona WJ, Witte JS. Genetic Factors Associated with Prostate Cancer Conversion from Active Surveillance to Treatment. HGG Adv. 2022 Jan 13;3(1). doi: 10.1016/j.xhgg.2021.100070. Epub 2021 Nov 19. PMID: 34993496; PMCID: PMC8725988.
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Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide.

HGG advances

Stuart PE, Tsoi LC, Nair RP, Ghosh M, Kabra M, Shaiq PA, Raja GK, Qamar R, Thelma BK, Patrick MT, Parihar A, Singh S, Khandpur S, Kumar U, Wittig M, Degenhardt F, Tejasvi T, Voorhees JJ, Weidinger S, Franke A, Abecasis GR, Sharma VK, Elder JT.
PMID: 34927100
HGG Adv. 2022 Jan 13;3(1). doi: 10.1016/j.xhgg.2021.100069. Epub 2021 Nov 06.

Because transethnic analysis may facilitate prioritization of causal genetic variants, we performed a genomewide association study (GWAS) of psoriasis in South Asians (SAS), consisting of 2,590 cases and 1,720 controls. Comparison with our existing European-origin (EUR) GWAS showed that...

Cite
Stuart PE, Tsoi LC, Nair RP, et al. Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide. HGG Adv. 2021;3(1)doi: 10.1016/j.xhgg.2021.100069.
Stuart, P. E., Tsoi, L. C., Nair, R. P., Ghosh, M., Kabra, M., Shaiq, P. A., Raja, G. K., Qamar, R., Thelma, B. K., Patrick, M. T., Parihar, A., Singh, S., Khandpur, S., Kumar, U., Wittig, M., Degenhardt, F., Tejasvi, T., Voorhees, J. J., Weidinger, S., Franke, A., Abecasis, G. R., Sharma, V. K., & Elder, J. T. (2022). Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide. HGG advances, 3(1), . https://doi.org/10.1016/j.xhgg.2021.100069
Stuart, Philip E, et al. "Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide." HGG advances vol. 3,1 (2022). doi: https://doi.org/10.1016/j.xhgg.2021.100069
Stuart PE, Tsoi LC, Nair RP, Ghosh M, Kabra M, Shaiq PA, Raja GK, Qamar R, Thelma BK, Patrick MT, Parihar A, Singh S, Khandpur S, Kumar U, Wittig M, Degenhardt F, Tejasvi T, Voorhees JJ, Weidinger S, Franke A, Abecasis GR, Sharma VK, Elder JT. Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide. HGG Adv. 2022 Jan 13;3(1). doi: 10.1016/j.xhgg.2021.100069. Epub 2021 Nov 06. PMID: 34927100; PMCID: PMC8682265.
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Identification of a common polymorphism in .

HGG advances

Landis BJ, Lai D, Guo DC, Corvera JS, Idrees MT, Stadler HW, Cuevas C, Needler GU, Vujakovich CE, Milewicz DM, Hinton RB, Ware SM.
PMID: 34917985
HGG Adv. 2022 Jan 13;3(1). doi: 10.1016/j.xhgg.2021.100057. Epub 2021 Sep 17.

Thoracic aortic aneurysm (TAA) predisposes to sudden, life-threatening aortic dissection. The factors that regulate interindividual variability in TAA severity are not well understood. Identifying a molecular basis for this variability has the potential to improve clinical risk stratification and...

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Landis BJ, Lai D, Guo DC, et al. Identification of a common polymorphism in . HGG Adv. 2021;3(1)doi: 10.1016/j.xhgg.2021.100057.
Landis, B. J., Lai, D., Guo, D. C., Corvera, J. S., Idrees, M. T., Stadler, H. W., Cuevas, C., Needler, G. U., Vujakovich, C. E., Milewicz, D. M., Hinton, R. B., & Ware, S. M. (2022). Identification of a common polymorphism in . HGG advances, 3(1), . https://doi.org/10.1016/j.xhgg.2021.100057
Landis, Benjamin J, et al. "Identification of a common polymorphism in ." HGG advances vol. 3,1 (2022). doi: https://doi.org/10.1016/j.xhgg.2021.100057
Landis BJ, Lai D, Guo DC, Corvera JS, Idrees MT, Stadler HW, Cuevas C, Needler GU, Vujakovich CE, Milewicz DM, Hinton RB, Ware SM. Identification of a common polymorphism in . HGG Adv. 2022 Jan 13;3(1). doi: 10.1016/j.xhgg.2021.100057. Epub 2021 Sep 17. PMID: 34917985; PMCID: PMC8670066.
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Transcriptome prediction performance across machine learning models and diverse ancestries.

HGG advances

Okoro PC, Schubert R, Guo X, Johnson WC, Rotter JI, Hoeschele I, Liu Y, Im HK, Luke A, Dugas LR, Wheeler HE.
PMID: 33937878
HGG Adv. 2021 Apr 08;2(2). doi: 10.1016/j.xhgg.2020.100019. Epub 2021 Jan 05.

Transcriptome prediction methods such as PrediXcan and FUSION have become popular in complex trait mapping. Most transcriptome prediction models have been trained in European populations using methods that make parametric linear assumptions like the elastic net (EN). To potentially...

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Okoro PC, Schubert R, Guo X, et al. Transcriptome prediction performance across machine learning models and diverse ancestries. HGG Adv. 2021;2(2)doi: 10.1016/j.xhgg.2020.100019.
Okoro, P. C., Schubert, R., Guo, X., Johnson, W. C., Rotter, J. I., Hoeschele, I., Liu, Y., Im, H. K., Luke, A., Dugas, L. R., & Wheeler, H. E. (2021). Transcriptome prediction performance across machine learning models and diverse ancestries. HGG advances, 2(2), . https://doi.org/10.1016/j.xhgg.2020.100019
Okoro, Paul C, et al. "Transcriptome prediction performance across machine learning models and diverse ancestries." HGG advances vol. 2,2 (2021). doi: https://doi.org/10.1016/j.xhgg.2020.100019
Okoro PC, Schubert R, Guo X, Johnson WC, Rotter JI, Hoeschele I, Liu Y, Im HK, Luke A, Dugas LR, Wheeler HE. Transcriptome prediction performance across machine learning models and diverse ancestries. HGG Adv. 2021 Apr 08;2(2). doi: 10.1016/j.xhgg.2020.100019. Epub 2021 Jan 05. PMID: 33937878; PMCID: PMC8087249.
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Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits.

HGG advances

Sun D, Richard M, Musani SK, Sung YJ, Winkler TW, Schwander K, Chai JF, Guo X, Kilpeläinen TO, Vojinovic D, Aschard H, Bartz TM, Bielak LF, Brown MR, Chitrala K, Hartwig FP, Horimoto ARVR, Liu Y, Manning AK, Noordam R, Smith AV, Harris SE, Kühnel B, Lyytikäinen LP, Nolte IM, Rauramaa R, van der Most PJ, Wang R, Ware EB, Weiss S, Wen W, Yanek LR, Arking DE, Arnett DK, Barac A, Boerwinkle E, Broeckel U, Chakravarti A, Chen YI, Cupples LA, Davigulus ML, de Las Fuentes L, de Mutsert R, de Vries PS, Delaney JAC, Roux AVD, Dörr M, Faul JD, Fretts AM, Gallo LC, Grabe HJ, Gu CC, Harris TB, Hartman CCA, Heikkinen S, Ikram MA, Isasi C, Johnson WC, Jonas JB, Kaplan RC, Komulainen P, Krieger JE, Levy D, Liu J, Lohman K, Luik AI, Martin LW, Meitinger T, Milaneschi Y, O'Connell JR, Palmas WR, Peters A, Peyser PA, Pulkki-Råback L, Raffel LJ, Reiner AP, Rice K, Robinson JG, Rosendaal FR, Schmidt CO, Schreiner PJ, Schwettmann L, Shikany JM, Shu XO, Sidney S, Sims M, Smith JA, Sotoodehnia N, Strauch K, Tai ES, Taylor K, Uitterlinden AG, van Duijn CM, Waldenberger M, Wee HL, Wei WB, Wilson G, Xuan D, Yao J, Zeng D, Zhao W, Zhu X, Zonderman AB, Becker DM, Deary IJ, Gieger C, Lakka TA, Lehtimäki T, North KE, Oldehinkel AJ, Penninx BWJH, Snieder H, Wang YX, Weir DR, Zheng W, Evans MK, Gauderman WJ, Gudnason V, Horta BL, Liu CT, Mook-Kanamori DO, Morrison AC, Pereira AC, Psaty BM, Amin N, Fox ER, Kooperberg C, Sim X, Bierut L, Rotter JI, Kardia SLR, Franceschini N, Rao DC, Fornage M.
PMID: 34734193
HGG Adv. 2021 Jan 14;2(1). doi: 10.1016/j.xhgg.2020.100013. Epub 2020 Oct 31.

Psychological and social factors are known to influence blood pressure (BP) and risk of hypertension and associated cardiovascular diseases. To identify novel BP loci, we carried out genome-wide association meta-analyses of systolic, diastolic, pulse, and mean arterial BP taking...

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Sun D, Richard M, Musani SK, et al. Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. HGG Adv. 2020;2(1)doi: 10.1016/j.xhgg.2020.100013.
Sun, D., Richard, M., Musani, S. K., Sung, Y. J., Winkler, T. W., Schwander, K., Chai, J. F., Guo, X., Kilpeläinen, T. O., Vojinovic, D., Aschard, H., Bartz, T. M., Bielak, L. F., Brown, M. R., Chitrala, K., Hartwig, F. P., Horimoto, A. R. V. R., Liu, Y., Manning, A. K., Noordam, R., Smith, A. V., Harris, S. E., Kühnel, B., Lyytikäinen, L. P., Nolte, I. M., Rauramaa, R., van der Most, P. J., Wang, R., Ware, E. B., Weiss, S., Wen, W., Yanek, L. R., Arking, D. E., Arnett, D. K., Barac, A., Boerwinkle, E., Broeckel, U., Chakravarti, A., Chen, Y. I., Cupples, L. A., Davigulus, M. L., de Las Fuentes, L., de Mutsert, R., de Vries, P. S., Delaney, J. A. C., Roux, A. V. D., Dörr, M., Faul, J. D., Fretts, A. M., Gallo, L. C., Grabe, H. J., Gu, C. C., Harris, T. B., Hartman, C. C. A., Heikkinen, S., Ikram, M. A., Isasi, C., Johnson, W. C., Jonas, J. B., Kaplan, R. C., Komulainen, P., Krieger, J. E., Levy, D., Liu, J., Lohman, K., Luik, A. I., Martin, L. W., Meitinger, T., Milaneschi, Y., O'Connell, J. R., Palmas, W. R., Peters, A., Peyser, P. A., Pulkki-Råback, L., Raffel, L. J., Reiner, A. P., Rice, K., Robinson, J. G., Rosendaal, F. R., Schmidt, C. O., Schreiner, P. J., Schwettmann, L., Shikany, J. M., Shu, X. O., Sidney, S., Sims, M., Smith, J. A., Sotoodehnia, N., Strauch, K., Tai, E. S., Taylor, K., Uitterlinden, A. G., van Duijn, C. M., Waldenberger, M., Wee, H. L., Wei, W. B., Wilson, G., Xuan, D., Yao, J., Zeng, D., Zhao, W., Zhu, X., Zonderman, A. B., Becker, D. M., Deary, I. J., Gieger, C., Lakka, T. A., Lehtimäki, T., North, K. E., Oldehinkel, A. J., Penninx, B. W. J. H., Snieder, H., Wang, Y. X., Weir, D. R., Zheng, W., Evans, M. K., Gauderman, W. J., Gudnason, V., Horta, B. L., Liu, C. T., Mook-Kanamori, D. O., Morrison, A. C., Pereira, A. C., Psaty, B. M., Amin, N., Fox, E. R., Kooperberg, C., Sim, X., Bierut, L., Rotter, J. I., Kardia, S. L. R., Franceschini, N., Rao, D. C., & Fornage, M. (2021). Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. HGG advances, 2(1), . https://doi.org/10.1016/j.xhgg.2020.100013
Sun, Daokun, et al. "Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits." HGG advances vol. 2,1 (2021). doi: https://doi.org/10.1016/j.xhgg.2020.100013
Sun D, Richard M, Musani SK, Sung YJ, Winkler TW, Schwander K, Chai JF, Guo X, Kilpeläinen TO, Vojinovic D, Aschard H, Bartz TM, Bielak LF, Brown MR, Chitrala K, Hartwig FP, Horimoto ARVR, Liu Y, Manning AK, Noordam R, Smith AV, Harris SE, Kühnel B, Lyytikäinen LP, Nolte IM, Rauramaa R, van der Most PJ, Wang R, Ware EB, Weiss S, Wen W, Yanek LR, Arking DE, Arnett DK, Barac A, Boerwinkle E, Broeckel U, Chakravarti A, Chen YI, Cupples LA, Davigulus ML, de Las Fuentes L, de Mutsert R, de Vries PS, Delaney JAC, Roux AVD, Dörr M, Faul JD, Fretts AM, Gallo LC, Grabe HJ, Gu CC, Harris TB, Hartman CCA, Heikkinen S, Ikram MA, Isasi C, Johnson WC, Jonas JB, Kaplan RC, Komulainen P, Krieger JE, Levy D, Liu J, Lohman K, Luik AI, Martin LW, Meitinger T, Milaneschi Y, O'Connell JR, Palmas WR, Peters A, Peyser PA, Pulkki-Råback L, Raffel LJ, Reiner AP, Rice K, Robinson JG, Rosendaal FR, Schmidt CO, Schreiner PJ, Schwettmann L, Shikany JM, Shu XO, Sidney S, Sims M, Smith JA, Sotoodehnia N, Strauch K, Tai ES, Taylor K, Uitterlinden AG, van Duijn CM, Waldenberger M, Wee HL, Wei WB, Wilson G, Xuan D, Yao J, Zeng D, Zhao W, Zhu X, Zonderman AB, Becker DM, Deary IJ, Gieger C, Lakka TA, Lehtimäki T, North KE, Oldehinkel AJ, Penninx BWJH, Snieder H, Wang YX, Weir DR, Zheng W, Evans MK, Gauderman WJ, Gudnason V, Horta BL, Liu CT, Mook-Kanamori DO, Morrison AC, Pereira AC, Psaty BM, Amin N, Fox ER, Kooperberg C, Sim X, Bierut L, Rotter JI, Kardia SLR, Franceschini N, Rao DC, Fornage M. Multi-Ancestry Genome-wide Association Study Accounting for Gene-Psychosocial Factor Interactions Identifies Novel Loci for Blood Pressure Traits. HGG Adv. 2021 Jan 14;2(1). doi: 10.1016/j.xhgg.2020.100013. Epub 2020 Oct 31. PMID: 34734193; PMCID: PMC8562625.
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Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer.

HGG advances

Kar SP, Considine DPC, Tyrer JP, Plummer JT, Chen S, Dezem FS, Barbeira AN, Rajagopal PS, Rosenow WT, Moreno F, Bodelon C, Chang-Claude J, Chenevix-Trench G, deFazio A, Dörk T, Ekici AB, Ewing A, Fountzilas G, Goode EL, Hartman M, Heitz F, Hillemanns P, Høgdall E, Høgdall CK, Huzarski T, Jensen A, Karlan BY, Khusnutdinova E, Kiemeney LA, Kjaer SK, Klapdor R, Köbel M, Li J, Liebrich C, May T, Olsson H, Permuth JB, Peterlongo P, Radice P, Ramus SJ, Riggan MJ, Risch HA, Saloustros E, Simard J, Szafron LM, Titus L, Thompson CL, Vierkant RA, Winham SJ, Zheng W, Doherty JA, Berchuck A, Lawrenson K, Im HK, Manichaikul AW, Pharoah PDP, Gayther SA, Schildkraut JM.
PMID: 34317694
HGG Adv. 2021 Jul 08;2(3). doi: 10.1016/j.xhgg.2021.100042. Epub 2021 Jun 16.

Familial, sequencing, and genome-wide association studies (GWASs) and genetic correlation analyses have progressively unraveled the shared or pleiotropic germline genetics of breast and ovarian cancer. In this study, we aimed to leverage this shared germline genetics to improve the...

Cite
Kar SP, Considine DPC, Tyrer JP, et al. Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer. HGG Adv. 2021;2(3)doi: 10.1016/j.xhgg.2021.100042.
Kar, S. P., Considine, D. P. C., Tyrer, J. P., Plummer, J. T., Chen, S., Dezem, F. S., Barbeira, A. N., Rajagopal, P. S., Rosenow, W. T., Moreno, F., Bodelon, C., Chang-Claude, J., Chenevix-Trench, G., deFazio, A., Dörk, T., Ekici, A. B., Ewing, A., Fountzilas, G., Goode, E. L., Hartman, M., Heitz, F., Hillemanns, P., Høgdall, E., Høgdall, C. K., Huzarski, T., Jensen, A., Karlan, B. Y., Khusnutdinova, E., Kiemeney, L. A., Kjaer, S. K., Klapdor, R., Köbel, M., Li, J., Liebrich, C., May, T., Olsson, H., Permuth, J. B., Peterlongo, P., Radice, P., Ramus, S. J., Riggan, M. J., Risch, H. A., Saloustros, E., Simard, J., Szafron, L. M., Titus, L., Thompson, C. L., Vierkant, R. A., Winham, S. J., Zheng, W., Doherty, J. A., Berchuck, A., Lawrenson, K., Im, H. K., Manichaikul, A. W., Pharoah, P. D. P., Gayther, S. A., & Schildkraut, J. M. (2021). Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer. HGG advances, 2(3), . https://doi.org/10.1016/j.xhgg.2021.100042
Kar, Siddhartha P, et al. "Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer." HGG advances vol. 2,3 (2021). doi: https://doi.org/10.1016/j.xhgg.2021.100042
Kar SP, Considine DPC, Tyrer JP, Plummer JT, Chen S, Dezem FS, Barbeira AN, Rajagopal PS, Rosenow WT, Moreno F, Bodelon C, Chang-Claude J, Chenevix-Trench G, deFazio A, Dörk T, Ekici AB, Ewing A, Fountzilas G, Goode EL, Hartman M, Heitz F, Hillemanns P, Høgdall E, Høgdall CK, Huzarski T, Jensen A, Karlan BY, Khusnutdinova E, Kiemeney LA, Kjaer SK, Klapdor R, Köbel M, Li J, Liebrich C, May T, Olsson H, Permuth JB, Peterlongo P, Radice P, Ramus SJ, Riggan MJ, Risch HA, Saloustros E, Simard J, Szafron LM, Titus L, Thompson CL, Vierkant RA, Winham SJ, Zheng W, Doherty JA, Berchuck A, Lawrenson K, Im HK, Manichaikul AW, Pharoah PDP, Gayther SA, Schildkraut JM. Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer. HGG Adv. 2021 Jul 08;2(3). doi: 10.1016/j.xhgg.2021.100042. Epub 2021 Jun 16. PMID: 34317694; PMCID: PMC8312632.
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Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide.

HGG advances

Stuart PE, Tsoi LC, Nair RP, Ghosh M, Kabra M, Shaiq PA, Raja GK, Qamar R, Thelma BK, Patrick MT, Parihar A, Singh S, Khandpur S, Kumar U, Wittig M, Degenhardt F, Tejasvi T, Voorhees JJ, Weidinger S, Franke A, Abecasis GR, Sharma VK, Elder JT.
PMID: 34927100
HGG Adv. 2022 Jan 13;3(1). doi: 10.1016/j.xhgg.2021.100069. Epub 2021 Nov 06.

Because transethnic analysis may facilitate prioritization of causal genetic variants, we performed a genomewide association study (GWAS) of psoriasis in South Asians (SAS), consisting of 2,590 cases and 1,720 controls. Comparison with our existing European-origin (EUR) GWAS showed that...

Cite
Stuart PE, Tsoi LC, Nair RP, et al. Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide. HGG Adv. 2021;3(1)doi: 10.1016/j.xhgg.2021.100069.
Stuart, P. E., Tsoi, L. C., Nair, R. P., Ghosh, M., Kabra, M., Shaiq, P. A., Raja, G. K., Qamar, R., Thelma, B. K., Patrick, M. T., Parihar, A., Singh, S., Khandpur, S., Kumar, U., Wittig, M., Degenhardt, F., Tejasvi, T., Voorhees, J. J., Weidinger, S., Franke, A., Abecasis, G. R., Sharma, V. K., & Elder, J. T. (2022). Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide. HGG advances, 3(1), . https://doi.org/10.1016/j.xhgg.2021.100069
Stuart, Philip E, et al. "Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide." HGG advances vol. 3,1 (2022). doi: https://doi.org/10.1016/j.xhgg.2021.100069
Stuart PE, Tsoi LC, Nair RP, Ghosh M, Kabra M, Shaiq PA, Raja GK, Qamar R, Thelma BK, Patrick MT, Parihar A, Singh S, Khandpur S, Kumar U, Wittig M, Degenhardt F, Tejasvi T, Voorhees JJ, Weidinger S, Franke A, Abecasis GR, Sharma VK, Elder JT. Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide. HGG Adv. 2022 Jan 13;3(1). doi: 10.1016/j.xhgg.2021.100069. Epub 2021 Nov 06. PMID: 34927100; PMCID: PMC8682265.
Copy Download .nbib Format: NLM
Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide.

HGG advances

Stuart PE, Tsoi LC, Nair RP, Ghosh M, Kabra M, Shaiq PA, Raja GK, Qamar R, Thelma BK, Patrick MT, Parihar A, Singh S, Khandpur S, Kumar U, Wittig M, Degenhardt F, Tejasvi T, Voorhees JJ, Weidinger S, Franke A, Abecasis GR, Sharma VK, Elder JT.
PMID: 34927100
HGG Adv. 2022 Jan 13;3(1). doi: 10.1016/j.xhgg.2021.100069. Epub 2021 Nov 06.

Because transethnic analysis may facilitate prioritization of causal genetic variants, we performed a genomewide association study (GWAS) of psoriasis in South Asians (SAS), consisting of 2,590 cases and 1,720 controls. Comparison with our existing European-origin (EUR) GWAS showed that...

Cite
Stuart PE, Tsoi LC, Nair RP, et al. Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide. HGG Adv. 2021;3(1)doi: 10.1016/j.xhgg.2021.100069.
Stuart, P. E., Tsoi, L. C., Nair, R. P., Ghosh, M., Kabra, M., Shaiq, P. A., Raja, G. K., Qamar, R., Thelma, B. K., Patrick, M. T., Parihar, A., Singh, S., Khandpur, S., Kumar, U., Wittig, M., Degenhardt, F., Tejasvi, T., Voorhees, J. J., Weidinger, S., Franke, A., Abecasis, G. R., Sharma, V. K., & Elder, J. T. (2022). Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide. HGG advances, 3(1), . https://doi.org/10.1016/j.xhgg.2021.100069
Stuart, Philip E, et al. "Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide." HGG advances vol. 3,1 (2022). doi: https://doi.org/10.1016/j.xhgg.2021.100069
Stuart PE, Tsoi LC, Nair RP, Ghosh M, Kabra M, Shaiq PA, Raja GK, Qamar R, Thelma BK, Patrick MT, Parihar A, Singh S, Khandpur S, Kumar U, Wittig M, Degenhardt F, Tejasvi T, Voorhees JJ, Weidinger S, Franke A, Abecasis GR, Sharma VK, Elder JT. Transethnic analysis of psoriasis susceptibility in South Asians and Europeans enhances fine-mapping in the MHC and genomewide. HGG Adv. 2022 Jan 13;3(1). doi: 10.1016/j.xhgg.2021.100069. Epub 2021 Nov 06. PMID: 34927100; PMCID: PMC8682265.
Copy Download .nbib Format: NLM
Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer.

HGG advances

Kar SP, Considine DPC, Tyrer JP, Plummer JT, Chen S, Dezem FS, Barbeira AN, Rajagopal PS, Rosenow WT, Moreno F, Bodelon C, Chang-Claude J, Chenevix-Trench G, deFazio A, Dörk T, Ekici AB, Ewing A, Fountzilas G, Goode EL, Hartman M, Heitz F, Hillemanns P, Høgdall E, Høgdall CK, Huzarski T, Jensen A, Karlan BY, Khusnutdinova E, Kiemeney LA, Kjaer SK, Klapdor R, Köbel M, Li J, Liebrich C, May T, Olsson H, Permuth JB, Peterlongo P, Radice P, Ramus SJ, Riggan MJ, Risch HA, Saloustros E, Simard J, Szafron LM, Titus L, Thompson CL, Vierkant RA, Winham SJ, Zheng W, Doherty JA, Berchuck A, Lawrenson K, Im HK, Manichaikul AW, Pharoah PDP, Gayther SA, Schildkraut JM.
PMID: 34317694
HGG Adv. 2021 Jul 08;2(3). doi: 10.1016/j.xhgg.2021.100042. Epub 2021 Jun 16.

Familial, sequencing, and genome-wide association studies (GWASs) and genetic correlation analyses have progressively unraveled the shared or pleiotropic germline genetics of breast and ovarian cancer. In this study, we aimed to leverage this shared germline genetics to improve the...

Cite
Kar SP, Considine DPC, Tyrer JP, et al. Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer. HGG Adv. 2021;2(3)doi: 10.1016/j.xhgg.2021.100042.
Kar, S. P., Considine, D. P. C., Tyrer, J. P., Plummer, J. T., Chen, S., Dezem, F. S., Barbeira, A. N., Rajagopal, P. S., Rosenow, W. T., Moreno, F., Bodelon, C., Chang-Claude, J., Chenevix-Trench, G., deFazio, A., Dörk, T., Ekici, A. B., Ewing, A., Fountzilas, G., Goode, E. L., Hartman, M., Heitz, F., Hillemanns, P., Høgdall, E., Høgdall, C. K., Huzarski, T., Jensen, A., Karlan, B. Y., Khusnutdinova, E., Kiemeney, L. A., Kjaer, S. K., Klapdor, R., Köbel, M., Li, J., Liebrich, C., May, T., Olsson, H., Permuth, J. B., Peterlongo, P., Radice, P., Ramus, S. J., Riggan, M. J., Risch, H. A., Saloustros, E., Simard, J., Szafron, L. M., Titus, L., Thompson, C. L., Vierkant, R. A., Winham, S. J., Zheng, W., Doherty, J. A., Berchuck, A., Lawrenson, K., Im, H. K., Manichaikul, A. W., Pharoah, P. D. P., Gayther, S. A., & Schildkraut, J. M. (2021). Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer. HGG advances, 2(3), . https://doi.org/10.1016/j.xhgg.2021.100042
Kar, Siddhartha P, et al. "Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer." HGG advances vol. 2,3 (2021). doi: https://doi.org/10.1016/j.xhgg.2021.100042
Kar SP, Considine DPC, Tyrer JP, Plummer JT, Chen S, Dezem FS, Barbeira AN, Rajagopal PS, Rosenow WT, Moreno F, Bodelon C, Chang-Claude J, Chenevix-Trench G, deFazio A, Dörk T, Ekici AB, Ewing A, Fountzilas G, Goode EL, Hartman M, Heitz F, Hillemanns P, Høgdall E, Høgdall CK, Huzarski T, Jensen A, Karlan BY, Khusnutdinova E, Kiemeney LA, Kjaer SK, Klapdor R, Köbel M, Li J, Liebrich C, May T, Olsson H, Permuth JB, Peterlongo P, Radice P, Ramus SJ, Riggan MJ, Risch HA, Saloustros E, Simard J, Szafron LM, Titus L, Thompson CL, Vierkant RA, Winham SJ, Zheng W, Doherty JA, Berchuck A, Lawrenson K, Im HK, Manichaikul AW, Pharoah PDP, Gayther SA, Schildkraut JM. Pleiotropy-guided transcriptome imputation from normal and tumor tissues identifies candidate susceptibility genes for breast and ovarian cancer. HGG Adv. 2021 Jul 08;2(3). doi: 10.1016/j.xhgg.2021.100042. Epub 2021 Jun 16. PMID: 34317694; PMCID: PMC8312632.
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