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Identifying genetically driven clinical phenotypes using linear mixed models.
Mosley JD, Witte JS, Larkin EK, Bastarache L, Shaffer CM, Karnes JH, Stein CM, Phillips E, Hebbring SJ, Brilliant MH, Mayer J, Ye Z, Roden DM, Denny JC. Mosley JD, et al. Nat Commun. 2016 Apr 25;7:11433. doi: 10.1038/ncomms11433. Nat Commun. 2016. PMID: 27109359 Free PMC article.
We hypothesized that generalized linear mixed models (GLMMs), which estimate the additive genetic variance underlying phenotype variability, would facilitate rapid characterization of clinical phenotypes from an electronic health r …
We hypothesized that generalized linear mixed models (GLMMs), which estimate the additive genetic variance under …
Human genome meeting 2016 : Houston, TX, USA. 28 February - 2 March 2016.
Srivastava AK, Wang Y, Huang R, Skinner C, Thompson T, Pollard L, Wood T, Luo F, Stevenson R, Polimanti R, Gelernter J, Lin X, Lim IY, Wu Y, Teh AL, Chen L, Aris IM, Soh SE, Tint MT, MacIsaac JL, Yap F, Kwek K, Saw SM, Kobor MS, Meaney MJ, Godfrey KM, Chong YS, Holbrook JD, Lee YS, Gluckman PD, Karnani N; GUSTO study group, Kapoor A, Lee D, Chakravarti A, Maercker C, Graf F, Boutros M, Stamoulis G, Santoni F, Makrythanasis P, Letourneau A, Guipponi M, Panousis N, Garieri M, Ribaux P, Falconnet E, Borel C, Antonarakis SE, Kumar S, Curran J, Blangero J, Chatterjee S, Kapoor A, Akiyama J, Auer D, Berrios C, Pennacchio L, Chakravarti A, Donti TR, Cappuccio G, Miller M, Atwal P, Kennedy A, Cardon A, Bacino C, Emrick L, Hertecant J, Baumer F, Porter B, Bainbridge M, Bonnen P, Graham B, Sutton R, Sun Q, Elsea S, Hu Z, Wang P, Zhu Y, Zhao J, Xiong M, Bennett DA, Hidalgo-Miranda A, Romero-Cordoba S, Rodriguez-Cuevas S, Rebollar-Vega R, Tagliabue E, Iorio M, D’Ippolito E, Baroni S, Kaczkowski B, Tanaka Y, Kawaji H, Sandelin A, Andersson R, Itoh M, Lassmann T; The FANTOM5 Consortium, Hayashizaki Y, Carninci P, Forrest ARR, Semple CA, Rosenthal EA, Shirts B, Amendola L, Gallego C, Horike-Pyne M, Burt A, Robertson P, Beyers P, Nefcy C, Veenstra D, Hisama F, Bennett R, Dorschner M, Nickerson D, Smith J, Patterson K, Crosslin D, Nassir R, Zubair N, Harrison T, Peters U, Jarvik G; NHLBI GO Exome Sequencing Project, Menghi F, Inaki K, Woo X, Kumar P, Grzeda K, Malhotra A, Kim H, Ucar D, Shreckengast P, Karuturi K, Keck J, Chuang J, Liu ET, Ji B, Tyler A, Ananda G, Carter G, Nikbakht H, Montagne M, Zeinieh M, Harutyunyan A, Mcconechy M, Jabado N, Lavigne P, Majewski J, Goldstein JB, Overman M, Varadhachary G, Shroff R, Wolff R, Javle M, Futreal A, Fogelman D, Bravo L, Fajardo W, Gomez H, Castaneda C, Rolfo C, Pinto JA, Akdemir KC, Chin L, Futreal A; ICGC PCAWG Structural Alterations Group, Patterson S, Statz C, Mockus S, Nikolaev SN, Bonilla XI, Parmentier L, King B, Bezrukov F, Kaya G, Zoete V, Seplyarskiy V, Sharpe H, McKee T, Letourneau A, Ribaux P, Popadin K, Basset-Seguin N, Chaabene RB, Santoni F, Andrianova M, Guipponi M, Garieri M, Verdan C, Grosdemange K, Sumara O, Eilers M, Aifantis I, Michielin O, de Sauvage F, Antonarakis S, Likhitrattanapisal S, Lincoln S, Kurian A, Desmond A, Yang S, Kobayashi Y, Ford J, Ellisen L, Peters TL, Alvarez KR, Hollingsworth EF, Lopez-Terrada DH, Hastie A, Dzakula Z, Pang AW, Lam ET, Anantharaman T, Saghbini M, Cao H; BioNano Genomics, Gonzaga-Jauregui C, Ma L, King A, Rosenzweig EB, Krishnan U, Reid JG, Overton JD, Dewey F, Chung WK, Small K, DeLuca A, Cremers F, Lewis RA, Puech V, Bakall B, Silva-Garcia R, Rohrschneider K, Leys M, Shaya FS, Stone E, Sobreira NL, Schiettecatte F, Ling H, Pugh E, Witmer D, Hetrick K, Zhang P, Doheny K, Valle D, Hamosh A, Jhangiani SN, Akdemir ZC, Bainbridge MN, Charng W, Wiszniewski W, Gambin T, Karaca E, Bayram Y, Eldomery MK, Posey J, Doddapaneni H, Hu J, Sutton VR, Muzny DM, Boerwinkle EA, Valle D, Lupski JR, Gibbs RA, Shekar S, Salerno W, English A, Mangubat A, Bruestle J, Thorogood A, Knoppers BM; Global Alliance for Genomics and Health - Regulatory and Ethics Working Group, Takahashi H, Nitta KR, Kozhuharova A, Suzuki AM, Sharma H, Cotella D, Santoro C, Zucchelli S, Gustincich S, Carninci P, Mulvihill JJ, Baynam G, Gahl W, Groft SC, Kosaki K, Lasko P, Melegh B, Taruscio D, Ghosh R, Plon S, Scherer S, Qin X, Sanghvi R, Walker K, Chiang T, Muzny D, Wang L, Black J, Boerwinkle E, Weinshilboum R, Gibbs R, Karpinets T, Calderone T, Wani K, Yu X, Creasy C, Haymaker C, Forget M, Nanda V, Roszik J, Wargo J, Haydu L, Song X, Lazar A, Gershenwald J, Davies M, Bernatchez C, Zhang J, Futreal A, Woodman S, Chesler EJ, Reynolds T, Bubier JA, Phillips C, Langston MA, Baker EJ, Xiong M, Ma L, Lin N, Amos C, Lin N, Wang P, Zhu Y, Zhao J, Calhoun V, Xiong M, Dobretsberger O, Egger M, Leimgruber F, Sadedin S, Oshlack A; Melbourne Genomics Health Alliance, Antonio VAA, Ono N; Clark Kendrick C. Go, Ahmed Z, Bolisetty M, Zeeshan S, Anguiano E, Ucar D, Sarkar A, Nandineni MR, Zeng C, Shao J, Cao H, Hastie A, Pang AW, Lam ET, Liang T, Pham K, Saghbini M, Dzakula Z, Chee-Wei Y, Dongsheng L, Lai-Ping W, Lian D, Hee ROT, Yunus Y, Aghakhanian F, Mokhtar SS, Lok-Yung CV, Bhak J, Phipps M, Shuhua X, Yik-Ying T, Kumar V, Boon-Peng H, Campbell I, Young MA, James P; Lifepool, Rain M, Mohammad G, Kukreti R, Pasha Q, Akilzhanova AR, Guelly C, Abilova Z, Rakhimova S, Akhmetova A, Kairov U, Trajanoski S, Zhumadilov Z, Bekbossynova M, Schumacher C, Sandhu S, Harkins T, Makarov V, Doddapaneni H, Glenn R, Momin Z, Dilrukshi B, Chao H, Meng Q, Gudenkauf B, Kshitij R, Jayaseelan J, Nessner C, Lee S, Blankenberg K, Lewis L, Hu J, Han Y, Dinh H, Jireh S, Walker K, Boerwinkle E, Muzny D, Gibbs R, Hu J, Walker K, Buhay C, Liu X, Wang Q, Sanghvi R, Doddapaneni H, Ding Y, Veeraraghavan N, Yang Y, Boerwinkle E, Beaudet AL, Eng CM, Muzny DM, Gibbs RA, Worley KCC, Liu Y, Hughes DST, Murali SC, Harris RA, English AC, Qin X, Hampton OA, Larsen P, Beck C, Han Y, Wang M, Doddapaneni H, Kovar CL, Salerno WJ, Yoder A, Richards S, Rogers J, Lupski JR, Muzny DM, Gibbs RA, Meng Q, Bainbridge M, Wang M, Doddapaneni H, Han Y, Muzny D, Gibbs R, Harris RA, Raveenedran M, Xue C, Dahdouli M, Cox L, Fan G, Ferguson B, Hovarth J, Johnson Z, Kanthaswamy S, Kubisch M, Platt M, Smith D, Vallender E, Wiseman R, Liu X, Below J, Muzny D, Gibbs R, Yu F, Rogers J, Lin J, Zhang Y, Ouyang Z, Moore A, Wang Z, Hofmann J, Purdue M, Stolzenberg-Solomon R, Weinstein S, Albanes D, Liu CS, Cheng WL, Lin TT, Lan Q, Rothman N, Berndt S, Chen ES, Bahrami H, Khoshzaban A, Keshal SH, Bahrami H, Khoshzaban A, Keshal SH, Alharbi KKR, Zhalbinova M, Akilzhanova A, Rakhimova S, Bekbosynova M, Myrzakhmetova S, Matar M, Mili N, Molinari R, Ma Y, Guerrier S, Elhawary N, Tayeb M, Bogari N, Qotb N, McClymont SA, Hook PW, Goff LA, McCallion A, Kong Y, Charette JR, Hicks WL, Naggert JK, Zhao L, Nishina PM, Edrees BM, Athar M, Al-Allaf FA, Taher MM, Khan W, Bouazzaoui A, Harbi NA, Safar R, Al-Edressi H, Anazi A, Altayeb N, Ahmed MA, Alansary K, Abduljaleel Z, Kratz A, Beguin P, Poulain S, Kaneko M, Takahiko C, Matsunaga A, Kato S, Suzuki AM, Bertin N, Lassmann T, Vigot R, Carninci P, Plessy C, Launey T, Graur D, Lee D, Kapoor A, Chakravarti A, Friis-Nielsen J, Izarzugaza JM, Brunak S, Chakraborty A, Basak J, Mukhopadhyay A, Soibam BS, Das D, Biswas N, Das S, Sarkar S, Maitra A, Panda C, Majumder P, Morsy H, Gaballah A, Samir M, Shamseya M, Mahrous H, Ghazal A, Arafat W, Hashish M, Gruber JJ, Jaeger N, Snyder M, Patel K, Bowman S, Davis T, Kraushaar D, Emerman A, Russello S, Henig N, Hendrickson C, Zhang K, Rodriguez-Dorantes M, Cruz-Hernandez CD, Garcia-Tobilla CDP, Solorzano-Rosales S, Jäger N, Chen J, Haile R, Hitchins M, Brooks JD, Snyder M, Jiménez-Morales S, Ramírez M, Nuñez J, Bekker V, Leal Y, Jiménez E, Medina A, Hidalgo A, Mejía J, Halytskiy V, Naggert J, Collin GB, DeMauro K, Hanusek R, Nishina PM, Belhassa K, Belhassan K, Bouguenouch L, Samri I, Sayel H, moufid FZ, El Bouchikhi I, Trhanint S, Hamdaoui H, Elotmani I, Khtiri I, Kettani O, Quibibo L, Ahagoud M, Abbassi M, Ouldim K, Marusin AV, Kornetov AN, Swarovskaya M, Vagaiceva K, Stepanov V, De La Paz EMC, Sy R, Nevado J, Reganit P, Santos L, Magno JD, Punzalan FE, Ona D, Llanes E, Santos-Cortes RL, Tiongco R, Aherrera J, Abrahan L, Pagauitan-Alan P; The Philippine Cardiogenomics Study Group, Morelli KH, Domire JS, Pyne N, Harper S, Burgess R, Zhalbinova M, Akilzhanova A, Rakhimova S, Bekbosynova M, Myrzakhmetova S, Gari MA, Dallol A, Alsehli H, Gari A, Gari M, Abuzenadah A, Thomas M, Sukhai M, Garg S, Misyura M, Zhang T, Schuh A, Stockley T, Kamel-Reid S, Sherry S, Xiao C, Slotta D, Rodarmer K, Feolo M, Kimelman M, Godynskiy G, O’Sullivan C, Yaschenko E, Xiao C, Yaschenko E, Sherry S, Rangel-Escareño C, Rueda-Zarate H, Tayubi IA, Mohammed R; on behalf of 1, Ahmed I, Ahmed T, Seth S, Amin S, Song X, Mao X, Sun H, Verhaak RG, Futreal A, Zhang J, Whiite SJ, Chiang T, English A, Farek J, Kahn Z, Salerno W, Veeraraghavan N, Boerwinkle E, Gibbs R, Kasukawa T, Lizio M, Harshbarger J, Hisashi S, Severin J, Imad A, Sahin S, Freeman TC, Baillie K, Sandelin A, Carninci P, Forrest ARR, Kawaji H; The FANTOM Consortium, Salerno W, English A, Shekar SN, Mangubat A, Bruestle J, Boerwinkle E, Gibbs RA, Salem AH, Ali M, Ibrahim A, Ibrahim M, Barrera HA, Garza L, Torres JA, Barajas V, Ulloa-Aguirre A, Kershenobich D, Mortaji S, Guizar P, Loera E, Moreno K, De León A, Monsiváis D, Gómez J, Cardiel R, Fernandez-Lopez JC, Bonifaz-Peña V, Rangel-Escareño C, Hidalgo-Miranda A, Contreras AV, Polfus L; CHARGE and NHLBI Exome Sequence Project Working Groups, Wang X, Philip V, Carter G, Abuzenadah AA, Gari M, Turki R, Dallol A, Uyar A, Kaygun A, Zaman S, Marquez E, George J, Ucar D, Hendrickson CL, Emerman A, Kraushaar D, Bowman S, Henig N, Davis T, Russello S, Patel K, Starr DB, Baird M, Kirkpatrick B, Sheets K, Nitsche R, Prieto-Lafuente L, Landrum M, Lee J, Rubinstein W, Maglott D, Thavanati PKR, de Dios AE, Hernandez REN, Aldrate MEA, Mejia MRR, Kanala KRR, Abduljaleel Z, Khan W, Al-Allaf FA, Athar M, Taher MM, Shahzad N, Bouazzaoui A, Huber E, Dan A, Al-Allaf FA, Herr W, Sprotte G, Köstler J, Hiergeist A, Gessner A, Andreesen R, Holler E, Al-Allaf F, Alashwal A, Abduljaleel Z, Taher M, Bouazzaoui A, Abalkhail H, Al-Allaf A, Bamardadh R, Athar M, Filiptsova O, Kobets M, Kobets Y, Burlaka I, Timoshyna I, Filiptsova O, Kobets MN, Kobets Y, Burlaka I, Timoshyna I, Filiptsova O, Kobets MN, Kobets Y, Burlaka I, Timoshyna I, Al-allaf FA, Mohiuddin MT, Zainularifeen A, Mohammed A, Abalkhail H, Owaidah T, Bouazzaoui A. Srivastava AK, et al. Hum Genomics. 2016 May 26;10 Suppl 1(Suppl 1):12. doi: 10.1186/s40246-016-0063-5. Hum Genomics. 2016. PMID: 27294413 Free PMC article.
Gibbs O31 Using read overlap assembly to accurately identify structural genetic differences in an ashkenazi jewish trio S. Shekar, W. ...Zhou, S. Xu P51 A Bayesian framework for generalized linear mixed models in genome-wide associ …
Gibbs O31 Using read overlap assembly to accurately identify structural genetic differences in an ashkenazi jewish trio S
Integrative model of leukocyte genomics and organ dysfunction in heart failure patients requiring mechanical circulatory support: a prospective observational study.
Wisniewski N, Bondar G, Rau C, Chittoor J, Chang E, Esmaeili A, Cadeiras M, Deng M. Wisniewski N, et al. BMC Med Genomics. 2017 Aug 29;10(1):52. doi: 10.1186/s12920-017-0288-8. BMC Med Genomics. 2017. PMID: 28851355 Free PMC article. Clinical Trial.
Clinical phenotyping was performed using 12 clinical parameters, 2 organ dysfunction scoring systems, and survival outcomes. ...Genes and eigengenes were mapped to the clinical phenotype using a linear mixed-effect model, wi
Clinical phenotyping was performed using 12 clinical parameters, 2 organ dysfunction scoring systems, and survival outc
Association between cognitive phenotype in unaffected siblings and prospective 3- and 6-year clinical outcome in their proband affected by psychosis.
Burger TJ, Schirmbeck F, Vermeulen JM, Quee PJ, de Koning MB, Bruggeman R, de Haan L, van Amelsvoort T, Bartels-Velthuis AA, Bruggeman R, Cahn W, de Haan L, Schirmbeck F, Simons CJP, van Os J. Burger TJ, et al. Psychol Med. 2020 Apr 15:1-11. doi: 10.1017/S0033291720000719. Online ahead of print. Psychol Med. 2020. PMID: 32290874
Familial cognitive risk was modeled by three cognitive subtypes ('normal', 'mixed' and 'impaired') in the unaffected siblings. Generalized linear mixed models assessed multi-cross-sectional associations between the sibling cognitive subtype and …
Familial cognitive risk was modeled by three cognitive subtypes ('normal', 'mixed' and 'impaired') in the unaffected siblings. …
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