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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… See abstract for full author list ➔ 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.
Lupski, R. A. Gibbs O31 Using read overlap assembly to accurately identify structural genetic differences in an ashkenazi jewish trio S. ...Zhou, S. Xu P51 A Bayesian framework for generalized linear mixed models in genome-wide association studi …
Lupski, R. A. Gibbs O31 Using read overlap assembly to accurately identify structural genetic differences in an ashkenazi jewi …
Exposome-wide ranking of modifiable risk factors for cardiometabolic disease traits.
Poveda A, Pomares-Millan H, Chen Y, Kurbasic A, Patel CJ, Renström F, Hallmans G, Johansson I, Franks PW. Poveda A, et al. Sci Rep. 2022 Mar 8;12(1):4088. doi: 10.1038/s41598-022-08050-1. Sci Rep. 2022. PMID: 35260745 Free PMC article.
The analyses were undertaken in a longitudinal sample comprising > 31,000 adults living in northern Sweden. Linear mixed models were used to assess the average associations of lifestyle exposures and linear regression models were used to test …
The analyses were undertaken in a longitudinal sample comprising > 31,000 adults living in northern Sweden. Linear mixed
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.
METHODS: We sampled peripheral blood mononuclear cells from 22 consecutive patients undergoing mechanical circulatory support device (MCS) surgery, at 5 timepoints: day -1 preoperative, and postoperative days 1, 3, 5, and 8. Clinical phenotyping was performed using …
METHODS: We sampled peripheral blood mononuclear cells from 22 consecutive patients undergoing mechanical circulatory support device (MCS) s …
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; GROUP investigator. Burger TJ, et al. Psychol Med. 2021 Aug;51(11):1916-1926. doi: 10.1017/S0033291720000719. Epub 2020 Apr 15. Psychol Med. 2021. PMID: 32290874
Generalized linear mixed models assessed multi-cross-sectional associations between the sibling cognitive subtype and repeated measures of proband symptoms across all assessments. ...CONCLUSIONS: Cross-sibling pathways from higher levels of familial cognitive …
Generalized linear mixed models assessed multi-cross-sectional associations between the sibling cognitive subtype and r …