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Youna Hu - Publications

Affiliations: 
Biostatistics University of Michigan, Ann Arbor, Ann Arbor, MI 
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18 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2018 Huusko JM, Karjalainen MK, Graham BE, Zhang G, Farrow EG, Miller NA, Jacobsson B, Eidem HR, Murray JC, Bedell B, Breheny P, Brown NW, Bødker FL, Litterman NK, Jiang PP, ... ... Hu Y, et al. Correction: Whole exome sequencing reveals HSPA1L as a genetic risk factor for spontaneous preterm birth. Plos Genetics. 14: e1007673. PMID 30212495 DOI: 10.1371/Journal.Pgen.1007673  0.373
2018 Huusko JM, Karjalainen MK, Graham BE, Zhang G, Farrow EG, Miller NA, Jacobsson B, Eidem HR, Murray JC, Bedell B, Breheny P, Brown NW, Bødker FL, Litterman NK, Jiang PP, ... ... Hu Y, et al. Whole exome sequencing reveals HSPA1L as a genetic risk factor for spontaneous preterm birth. Plos Genetics. 14: e1007394. PMID 30001343 DOI: 10.1371/Journal.Pgen.1007394  0.413
2018 Zhang G, Feenstra B, Bacelis J, Liu X, Muglia LM, Juodakis J, Miller DE, Litterman N, Jiang PP, Russell L, Hinds DA, Hu Y, Weirauch MT, Chen X, Chavan AR, et al. Genetic Associations with Gestational Duration and Spontaneous Preterm Birth Obstetrical & Gynecological Survey. 73: 83-85. DOI: 10.1097/01.Ogx.0000530434.15441.45  0.372
2018 Zhang G, Feenstra B, Bacelis J, Liu X, Muglia LM, Juodakis J, Miller DE, Litterman N, Jiang PP, Russell L, Hinds DA, Hu Y, Weirauch MT, Chen X, Chavan AR, et al. Genetic Associations With Gestational Duration and Spontaneous Preterm Birth Obstetric Anesthesia Digest. 38: 36. DOI: 10.1097/01.Aoa.0000529999.63529.53  0.372
2017 Zhang G, Feenstra B, Bacelis J, Liu X, Muglia LM, Juodakis J, Miller DE, Litterman N, Jiang PP, Russell L, Hinds DA, Hu Y, Weirauch MT, Chen X, Chavan AR, et al. Genetic Associations with Gestational Duration and Spontaneous Preterm Birth. The New England Journal of Medicine. PMID 28877031 DOI: 10.1056/Nejmoa1612665  0.452
2017 Jones AV, Tilley M, Gutteridge A, Hyde C, Nagle M, Ziemek D, Gorman D, Fauman EB, Chen X, Miller MR, Tian C, Hu Y, Hinds DA, Cox P, Scollen S. GWAS of self-reported mosquito bite size, itch intensity and attractiveness to mosquitoes implicates immune-related predisposition loci. Human Molecular Genetics. PMID 28199695 DOI: 10.1093/Hmg/Ddx036  0.388
2016 Jones SE, Tyrrell J, Wood AR, Beaumont RN, Ruth KS, Tuke MA, Yaghootkar H, Hu Y, Teder-Laving M, Hayward C, Roenneberg T, Wilson JF, Del Greco F, Hicks AA, Shin C, et al. Genome-Wide Association Analyses in 128,266 Individuals Identifies New Morningness and Sleep Duration Loci. Plos Genetics. 12: e1006125. PMID 27494321 DOI: 10.1371/Journal.Pgen.1006125  0.362
2016 Jones AV, Hockley JR, Hyde C, Gorman D, Sredic-Rhodes A, Bilsland J, McMurray G, Furlotte NA, Hu Y, Hinds DA, Cox PJ, Scollen S. Genome-wide association analysis of pain severity in dysmenorrhea identifies association at chromosome 1p13.2, near the nerve growth factor locus. Pain. PMID 27454463 DOI: 10.1097/J.Pain.0000000000000678  0.344
2016 Zhan X, Hu Y, Li B, Abecasis GR, Liu DJ. RVTESTS: an efficient and comprehensive tool for rare variant association analysis using sequence data. Bioinformatics (Oxford, England). 32: 1423-1426. PMID 27153000 DOI: 10.1093/Bioinformatics/Btw079  0.571
2016 Hu Y, Shmygelska A, Tran D, Eriksson N, Tung JY, Hinds DA. GWAS of 89,283 individuals identifies genetic variants associated with self-reporting of being a morning person. Nature Communications. 7: 10448. PMID 26835600 DOI: 10.1038/Ncomms10448  0.346
2014 Crosby J, Peloso GM, Auer PL, Crosslin DR, Stitziel NO, Lange LA, Lu Y, Tang ZZ, Zhang H, Hindy G, Masca N, Stirrups K, Kanoni S, Do R, ... ... Hu Y, et al. Loss-of-function mutations in APOC3, triglycerides, and coronary disease. The New England Journal of Medicine. 371: 22-31. PMID 24941081 DOI: 10.1056/Nejmoa1307095  0.473
2014 Lange LA, Hu Y, Zhang H, Xue C, Schmidt EM, Tang ZZ, Bizon C, Lange EM, Smith JD, Turner EH, Jun G, Kang HM, Peloso G, Auer P, Li KP, et al. Whole-exome sequencing identifies rare and low-frequency coding variants associated with LDL cholesterol. American Journal of Human Genetics. 94: 233-45. PMID 24507775 DOI: 10.1016/J.Ajhg.2014.01.010  0.572
2014 Lohmueller KE, Sparsø T, Li Q, Andersson E, Korneliussen T, Albrechtsen A, Banasik K, Grarup N, Hallgrimsdottir I, Kiil K, Kilpeläinen TO, Krarup NT, Pers TH, Sanchez G, Hu Y, et al. Erratum: Whole-exome sequencing of 2,000 Danish individuals and the role of rare coding variants in type 2 diabetes (The American Journal of Human Genetics (2013) 93 (1072-1086)) American Journal of Human Genetics. 94. DOI: 10.1016/J.Ajhg.2014.02.002  0.397
2013 Lohmueller KE, Sparsø T, Li Q, Andersson E, Korneliussen T, Albrechtsen A, Banasik K, Grarup N, Hallgrimsdottir I, Kiil K, Kilpeläinen TO, Krarup NT, Pers TH, Sanchez G, Hu Y, et al. Whole-exome sequencing of 2,000 Danish individuals and the role of rare coding variants in type 2 diabetes. American Journal of Human Genetics. 93: 1072-86. PMID 24290377 DOI: 10.1016/J.Ajhg.2013.11.005  0.412
2013 Hu Y, Willer C, Zhan X, Kang HM, Abecasis GR. Accurate local-ancestry inference in exome-sequenced admixed individuals via off-target sequence reads. American Journal of Human Genetics. 93: 891-9. PMID 24210252 DOI: 10.1016/J.Ajhg.2013.10.008  0.532
2013 Zhan X, Larson DE, Wang C, Koboldt DC, Sergeev YV, Fulton RS, Fulton LL, Fronick CC, Branham KE, Bragg-Gresham J, Jun G, Hu Y, Kang HM, Liu D, Othman M, et al. Identification of a rare coding variant in complement 3 associated with age-related macular degeneration. Nature Genetics. 45: 1375-9. PMID 24036949 DOI: 10.1038/Ng.2758  0.529
2013 Berndt SI, Gustafsson S, Mägi R, Ganna A, Wheeler E, Feitosa MF, Justice AE, Monda KL, Croteau-Chonka DC, Day FR, Esko T, Fall T, Ferreira T, Gentilini D, Jackson AU, ... ... Hu YJ, et al. Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture. Nature Genetics. 45: 501-12. PMID 23563607 DOI: 10.1038/Ng.2606  0.579
2013 Hu Y, Li L, Ehm MG, Bing N, Song K, Nelson MR, Talmud PJ, Hingorani AD, Kumari M, Kivimäki M, Xu CF, Waterworth DM, Whittaker JC, Abecasis GR, Spino C, et al. The benefits of using genetic information to design prevention trials. American Journal of Human Genetics. 92: 547-57. PMID 23541341 DOI: 10.1016/J.Ajhg.2013.03.003  0.502
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