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For: Mostafavi H, Harpak A, Agarwal I, Conley D, Pritchard JK, Przeworski M. Variable prediction accuracy of polygenic scores within an ancestry group. Elife 2020;9:e48376. [PMID: 31999256 DOI: 10.7554/eLife.48376] [Cited by in Crossref: 147] [Cited by in F6Publishing: 164] [Article Influence: 73.5] [Reference Citation Analysis]
Number Citing Articles
1 Carvalho NRG, Harris AM, Lachance J. Different genetic architectures of complex traits and their relevance to polygenic score performance.. [DOI: 10.1101/2022.10.29.514295] [Reference Citation Analysis]
2 Jiang X, Zhang MJ, Zhang Y, Inouye M, Holmes C, Price AL, Mcvean G. Age-dependent topic modelling of comorbidities in UK Biobank identifies disease subtypes with differential genetic risk.. [DOI: 10.1101/2022.10.23.22281420] [Reference Citation Analysis]
3 Yamamoto R, Chung R, Vazquez JM, Sheng H, Steinberg PL, Ioannidis NM, Sudmant PH. Tissue-specific impacts of aging and genetics on gene expression patterns in humans. Nat Commun 2022;13:5803. [PMID: 36192477 DOI: 10.1038/s41467-022-33509-0] [Reference Citation Analysis]
4 Chuong M, Adams MJ, Kwong ASF, Haley CS, Amador C, McIntosh AM. Genome-by-Trauma Exposure Interactions in Adults With Depression in the UK Biobank. JAMA Psychiatry 2022. [PMID: 36169986 DOI: 10.1001/jamapsychiatry.2022.2983] [Reference Citation Analysis]
5 Liu H, Clark B. Paternal Incarceration, Polygenic Scores, and Children’s Educational Attainment. J Dev Life Course Criminology. [DOI: 10.1007/s40865-022-00213-y] [Reference Citation Analysis]
6 Fuentes A, Bird K. Heritability is a poor, if not unhelpful, measure of complex human behavioral processes. Behav Brain Sci 2022;45:e162. [PMID: 36098420 DOI: 10.1017/S0140525X21001564] [Reference Citation Analysis]
7 Zheng B, Fletcher J, Zheng F, Lu Q. Gene-by-peer-environment interaction effects on cigarette, alcohol, and marijuana use among US high school students of European Ancestry. Soc Sci Med 2022;309:115249. [PMID: 35944351 DOI: 10.1016/j.socscimed.2022.115249] [Reference Citation Analysis]
8 Mclean EM, Moorad JA, Tung J, Archie EA, Alberts SC. Genetic variance and indirect genetic effects for affiliative social behavior in a wild primate.. [DOI: 10.1101/2022.08.29.505695] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
9 Siemens A, Anderson SJ, Rassekh SR, Ross CJD, Carleton BC. A Systematic Review of Polygenic Models for Predicting Drug Outcomes. JPM 2022;12:1394. [DOI: 10.3390/jpm12091394] [Reference Citation Analysis]
10 Le MK, Smith OS, Akbari A, Harpak A, Reich D, Narasimhan VM. 1,000 ancient genomes uncover 10,000 years of natural selection in Europe.. [DOI: 10.1101/2022.08.24.505188] [Reference Citation Analysis]
11 Chen W, Zeng Y, Suo C, Yang H, Chen Y, Hou C, Hu Y, Ying Z, Sun Y, Qu Y, Lu D, Fang F, Valdimarsdóttir UA, Song H. Genetic predispositions to psychiatric disorders and the risk of COVID-19. BMC Med 2022;20:314. [PMID: 35999565 DOI: 10.1186/s12916-022-02520-z] [Reference Citation Analysis]
12 Huang QQ, Sallah N, Dunca D, Trivedi B, Hunt KA, Hodgson S, Lambert SA, Arciero E, Wright J, Griffiths C, Trembath RC, Hemingway H, Inouye M, Finer S, van Heel DA, Lumbers RT, Martin HC, Kuchenbaecker K. Transferability of genetic loci and polygenic scores for cardiometabolic traits in British Pakistani and Bangladeshi individuals. Nat Commun 2022;13:4664. [PMID: 35945198 DOI: 10.1038/s41467-022-32095-5] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
13 Priest JR. Leveraging Machine Learning for Translational Genetics of Cardiovascular Imaging. J Am Coll Cardiol 2022;80:498-9. [PMID: 35902172 DOI: 10.1016/j.jacc.2022.05.020] [Reference Citation Analysis]
14 Lencz T, Sabatello M, Docherty A, Peterson RE, Soda T, Austin J, Bierut L, Crepaz-keay D, Curtis D, Degenhardt F, Huckins L, Lazaro-munoz G, Mattheisen M, Meiser B, Peay H, Rietschel M, Walss-bass C, Davis LK. Concerns about the use of polygenic embryo screening for psychiatric and cognitive traits. The Lancet Psychiatry 2022. [DOI: 10.1016/s2215-0366(22)00157-2] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
15 Herzig AF, Clerget-darpoux F, Génin E. The False Dawn of Polygenic Risk Scores for Human Disease Prediction. JPM 2022;12:1266. [DOI: 10.3390/jpm12081266] [Reference Citation Analysis]
16 Clifton L, Collister JA, Liu X, Littlejohns TJ, Hunter DJ. Assessing agreement between different polygenic risk scores in the UK Biobank. Sci Rep 2022;12:12812. [PMID: 35896674 DOI: 10.1038/s41598-022-17012-6] [Reference Citation Analysis]
17 Lee YH, Thaweethai T, Sheu Y, Feng YA, Karlson EW, Ge T, Kraft P, Smoller JW. Impact of Selection Bias on Polygenic Risk Score Estimates in Healthcare Settings.. [DOI: 10.1101/2022.07.20.22277710] [Reference Citation Analysis]
18 Pärna K, Nolte IM, Snieder H, Fischer K, Marnetto D, Pagani L; Estonian Biobank Research Team. A Principal Component Informed Approach to Address Polygenic Risk Score Transferability Across European Cohorts. Front Genet 2022;13:899523. [DOI: 10.3389/fgene.2022.899523] [Reference Citation Analysis]
19 Morris TT, Heron J, Sanderson ECM, Davey Smith G, Didelez V, Tilling K. Interpretation of Mendelian randomization using a single measure of an exposure that varies over time. Int J Epidemiol 2022:dyac136. [PMID: 35848950 DOI: 10.1093/ije/dyac136] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
20 Freda PJ Jr, Kranzler HR, Moore JH. Novel digital approaches to the assessment of problematic opioid use. BioData Min 2022;15:14. [PMID: 35840990 DOI: 10.1186/s13040-022-00301-1] [Reference Citation Analysis]
21 Clark K, Yee Leung Y, Lee W, Voight B, Wang L. Polygenic Risk Scores in Alzheimer’s Disease Genetics: Methodology, Applications, Inclusion, and Diversity. JAD 2022. [DOI: 10.3233/jad-220025] [Reference Citation Analysis]
22 Howe LJ, Evans DM, Hemani G, Davey Smith G, Davies NM. Evaluating indirect genetic effects of siblings using singletons. PLoS Genet 2022;18:e1010247. [PMID: 35797272 DOI: 10.1371/journal.pgen.1010247] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
23 Araújo DS, Wheeler HE. Genetic and environmental variation impact transferability of polygenic risk scores. Cell Reports Medicine 2022;3:100687. [DOI: 10.1016/j.xcrm.2022.100687] [Reference Citation Analysis]
24 Brandes N, Weissbrod O, Linial M. Open problems in human trait genetics. Genome Biol 2022;23:131. [PMID: 35725481 DOI: 10.1186/s13059-022-02697-9] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
25 Young AI, Nehzati SM, Benonisdottir S, Okbay A, Jayashankar H, Lee C, Cesarini D, Benjamin DJ, Turley P, Kong A. Mendelian imputation of parental genotypes improves estimates of direct genetic effects. Nat Genet 2022;54:897-905. [PMID: 35681053 DOI: 10.1038/s41588-022-01085-0] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 4.0] [Reference Citation Analysis]
26 Miao J, Guo H, Song G, Zhao Z, Hou L, Lu Q. Quantifying portable genetic effects and improving cross-ancestry genetic prediction with GWAS summary statistics.. [DOI: 10.1101/2022.05.26.493528] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
27 Hui D, Xiao B, Dikilitas O, Freimuth RR, Irvin MR, Jarvik GP, Kottyan L, Kullo I, Limdi NA, Liu C, Luo Y, Namjou B, Puckelwartz MJ, Schaid D, Tiwari H, Wei W, Verma S, Kim D, Ritchie MD. Quantifying factors that affect polygenic risk score performance across diverse ancestries and age groups for body mass index.. [DOI: 10.1101/2022.05.27.22275647] [Reference Citation Analysis]
28 Grasgruber P, Mašanović B, Prce S, Popović S, Arifi F, Bjelica D, Bokůvka D, Cacek J, Davidović I, Gardašević J, Hrazdíra E, Hřebíčková S, Ingrová P, Potpara P, Stračárová N, Starc G, Mihailović N. Mapping the Mountains of Giants: Anthropometric Data from the Western Balkans Reveal a Nucleus of Extraordinary Physical Stature in Europe. Biology 2022;11:786. [DOI: 10.3390/biology11050786] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
29 Fuentes-paez G, Escaramís G, Aguilar-lacasaña S, Andrusaityte S, Brantsæter AL, Casas M, Charles M, Chatzi L, Lepeule J, Grazuleviciene R, Gützkow KB, Heude B, Maitre L, Ruiz-arenas C, Sunyer J, Urquiza J, Yang TC, Wright J, Vrijheid M, Vilor-tejedor N, Bustamante M. Study of the Combined Effect of Maternal Tobacco Smoking and Polygenic Risk Scores on Birth Weight and Body Mass Index in Childhood. Front Genet 2022;13:867611. [DOI: 10.3389/fgene.2022.867611] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
30 Dauyey K, Saitou N. Inferring intelligence of ancient people based on modern genomic studies. J Hum Genet. [DOI: 10.1038/s10038-022-01039-8] [Reference Citation Analysis]
31 Howe LJ, Nivard MG, Morris TT, Hansen AF, Rasheed H, Cho Y, Chittoor G, Ahlskog R, Lind PA, Palviainen T, van der Zee MD, Cheesman R, Mangino M, Wang Y, Li S, Klaric L, Ratliff SM, Bielak LF, Nygaard M, Giannelis A, Willoughby EA, Reynolds CA, Balbona JV, Andreassen OA, Ask H, Baras A, Bauer CR, Boomsma DI, Campbell A, Campbell H, Chen Z, Christofidou P, Corfield E, Dahm CC, Dokuru DR, Evans LM, de Geus EJC, Giddaluru S, Gordon SD, Harden KP, Hill WD, Hughes A, Kerr SM, Kim Y, Kweon H, Latvala A, Lawlor DA, Li L, Lin K, Magnus P, Magnusson PKE, Mallard TT, Martikainen P, Mills MC, Njølstad PR, Overton JD, Pedersen NL, Porteous DJ, Reid J, Silventoinen K, Southey MC, Stoltenberg C, Tucker-Drob EM, Wright MJ, Hewitt JK, Keller MC, Stallings MC, Lee JJ, Christensen K, Kardia SLR, Peyser PA, Smith JA, Wilson JF, Hopper JL, Hägg S, Spector TD, Pingault JB, Plomin R, Havdahl A, Bartels M, Martin NG, Oskarsson S, Justice AE, Millwood IY, Hveem K, Naess Ø, Willer CJ, Åsvold BO, Koellinger PD, Kaprio J, Medland SE, Walters RG, Benjamin DJ, Turley P, Evans DM, Davey Smith G, Hayward C, Brumpton B, Hemani G, Davies NM; Social Science Genetic Association Consortium., Within Family Consortium. Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects. Nat Genet 2022. [PMID: 35534559 DOI: 10.1038/s41588-022-01062-7] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 15.0] [Reference Citation Analysis]
32 Zhu C, Ming MJ, Cole JM, Kirkpatrick M, Harpak A. Amplification is the Primary Mode of Gene-by-Sex Interaction in Complex Human Traits.. [DOI: 10.1101/2022.05.06.490973] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
33 Carlson MO, Rice DP, Berg JJ, Steinrücken M. Polygenic score accuracy in ancient samples: Quantifying the effects of allelic turnover. PLoS Genet 2022;18:e1010170. [DOI: 10.1371/journal.pgen.1010170] [Reference Citation Analysis]
34 Smith SP, Shahamatdar S, Cheng W, Zhang S, Paik J, Graff M, Haiman C, Matise TC, North KE, Peters U, Kenny E, Gignoux C, Wojcik G, Crawford L, Ramachandran S. Enrichment analyses identify shared associations for 25 quantitative traits in over 600,000 individuals from seven diverse ancestries. Am J Hum Genet 2022;109:871-84. [PMID: 35349783 DOI: 10.1016/j.ajhg.2022.03.005] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
35 Treff NR, Savulescu J, de Melo-Martín I, Shulman LP, Feinberg EC. Should preimplantation genetic testing for polygenic disease be offered to all - or none? Fertil Steril 2022:S0015-0282(22)00207-2. [PMID: 35513906 DOI: 10.1016/j.fertnstert.2022.03.017] [Reference Citation Analysis]
36 Khoury NM, Radonjić NV, Albert AB, Faraone SV. From Structural Disparities to Neuropharmacology. Child and Adolescent Psychiatric Clinics of North America 2022. [DOI: 10.1016/j.chc.2022.03.002] [Reference Citation Analysis]
37 KDIGO Conference Participants. Genetics in chronic kidney disease: conclusions from a Kidney Disease: Improving Global Outcomes (KDIGO) Controversies Conference. Kidney Int 2022:S0085-2538(22)00278-2. [PMID: 35460632 DOI: 10.1016/j.kint.2022.03.019] [Cited by in Crossref: 5] [Cited by in F6Publishing: 4] [Article Influence: 5.0] [Reference Citation Analysis]
38 Spence JP, Sinnott-armstrong N, Assimes TL, Pritchard JK. A flexible modeling and inference framework for estimating variant effect sizes from GWAS summary statistics.. [DOI: 10.1101/2022.04.18.488696] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
39 Yair S, Coop G. Population differentiation of polygenic score predictions under stabilizing selection. Phil Trans R Soc B 2022;377:20200416. [DOI: 10.1098/rstb.2020.0416] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
40 Mars N, Kerminen S, Feng YA, Kanai M, Läll K, Thomas LF, Skogholt AH, Della Briotta Parolo P, Neale BM, Smoller JW, Gabrielsen ME, Hveem K, Mägi R, Matsuda K, Okada Y, Pirinen M, Palotie A, Ganna A, Martin AR, Ripatti S; Biobank Japan Project., FinnGen. Genome-wide risk prediction of common diseases across ancestries in one million people. Cell Genom 2022;2:None. [PMID: 35591975 DOI: 10.1016/j.xgen.2022.100118] [Cited by in Crossref: 6] [Cited by in F6Publishing: 7] [Article Influence: 6.0] [Reference Citation Analysis]
41 Marciniak S, Bergey CM, Silva AM, Hałuszko A, Furmanek M, Veselka B, Velemínský P, Vercellotti G, Wahl J, Zariņa G, Longhi C, Kolář J, Garrido-Pena R, Flores-Fernández R, Herrero-Corral AM, Simalcsik A, Müller W, Sheridan A, Miliauskienė Ž, Jankauskas R, Moiseyev V, Köhler K, Király Á, Gamarra B, Cheronet O, Szeverényi V, Kiss V, Szeniczey T, Kiss K, Zoffmann ZK, Koós J, Hellebrandt M, Maier RM, Domboróczki L, Virag C, Novak M, Reich D, Hajdu T, von Cramon-Taubadel N, Pinhasi R, Perry GH. An integrative skeletal and paleogenomic analysis of stature variation suggests relatively reduced health for early European farmers. Proc Natl Acad Sci U S A 2022;119:e2106743119. [PMID: 35389750 DOI: 10.1073/pnas.2106743119] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
42 Weissbrod O, Kanai M, Shi H, Gazal S, Peyrot WJ, Khera AV, Okada Y, Martin AR, Finucane HK, Price AL; Biobank Japan Project. Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores. Nat Genet 2022. [PMID: 35393596 DOI: 10.1038/s41588-022-01036-9] [Cited by in Crossref: 17] [Cited by in F6Publishing: 22] [Article Influence: 17.0] [Reference Citation Analysis]
43 Napolsky IN, Popova PV. Personalized Nutrition for the Prevention and Treatment of Metabolic Diseases: Opportunities and Perspectives. jour 2022;2:15-34. [DOI: 10.18705/2782-3806-2022-2-1-15-34] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
44 Deak JD, Clark DA, Liu M, Schaefer JD, Jang SK, Durbin CE, Iacono WG, McGue M, Vrieze S, Hicks BM. Alcohol and nicotine polygenic scores are associated with the development of alcohol and nicotine use problems from adolescence to young adulthood. Addiction 2022;117:1117-27. [PMID: 34590376 DOI: 10.1111/add.15697] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
45 Ronda V, Agerbo E, Bleses D, Mortensen PB, Børglum A, Mors O, Rosholm M, Hougaard DM, Nordentoft M, Werge T. Family disadvantage, gender, and the returns to genetic human capital*. Scandinavian J Economics 2022;124:550-578. [DOI: 10.1111/sjoe.12462] [Reference Citation Analysis]
46 Chuong T, Adams M, Kwong A, Haley C, Amador C, Mcintosh A. Genome-by-Trauma Exposure Interaction Effects in Depression.. [DOI: 10.1101/2022.03.11.22272206] [Reference Citation Analysis]
47 G. Ashbrook D, Lu L. Recombinant Inbred Mice as Models for Experimental Precision Medicine and Biology. Preclinical Animal Modeling in Medicine 2022. [DOI: 10.5772/intechopen.96173] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
48 Garcia-Etxebarria K, Merino O, Gaite-Reguero A, Rodrigues PM, Herrarte A, Etxart A, Ellinghaus D, Alonso-Galan H, Franke A, Marigorta UM, Bujanda L, D'Amato M. Local genetic variation of inflammatory bowel disease in Basque population and its effect in risk prediction. Sci Rep 2022;12:3386. [PMID: 35232999 DOI: 10.1038/s41598-022-07401-2] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
49 Armitage JM, Morneau‐vaillancourt G, Pingault J, Andlauer TFM, Paquin S, Langevin S, Brendgen M, Dionne G, Séguin J, Rouleau G, Vitaro F, Ouellet‐morin I, Boivin M. A multi‐informant and multi‐polygenic approach to understanding predictors of peer victimisation in childhood and adolescence. JCPP Advances. [DOI: 10.1002/jcv2.12063] [Reference Citation Analysis]
50 Charney E. The "Golden Age" of Behavior Genetics? Perspect Psychol Sci 2022;:17456916211041602. [PMID: 35180032 DOI: 10.1177/17456916211041602] [Reference Citation Analysis]
51 Barlevy D, Lencz T, Carmi S, Kostick-Quenet KM, Mukherjee M, Pereira S, Lázaro-Muñoz G. Capacities and Limitations of Using Polygenic Risk Scores for Reproductive Decision Making. Am J Bioeth 2022;22:42-5. [PMID: 35089838 DOI: 10.1080/15265161.2021.2013983] [Reference Citation Analysis]
52 Robette N, Génin E, Clerget-darpoux F. Heritability: What's the point? What is it not for? A human genetics perspective. Genetica. [DOI: 10.1007/s10709-022-00149-7] [Reference Citation Analysis]
53 Wang Y, Wu Y, Choi J, Allington G, Zhao S, Khanfar M, Yang K, Fu P, Wrubel M, Yu X, Mekbib KY, Ocken J, Smith H, Shohfi J, Kahle KT, Lu Q, Jin SC. Computational Genomics in the Era of Precision Medicine: Applications to Variant Analysis and Gene Therapy. JPM 2022;12:175. [DOI: 10.3390/jpm12020175] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
54 Jiménez-Kaufmann A, Chong AY, Cortés A, Quinto-Cortés CD, Fernandez-Valverde SL, Ferreyra-Reyes L, Cruz-Hervert LP, Medina-Muñoz SG, Sohail M, Palma-Martinez MJ, Delgado-Sánchez G, Mongua-Rodríguez N, Mentzer AJ, Hill AVS, Moreno-Macías H, Huerta-Chagoya A, Aguilar-Salinas CA, Torres M, Kim HL, Kalsi N, Schuster SC, Tusié-Luna T, Del-Vecchyo DO, García-García L, Moreno-Estrada A. Imputation Performance in Latin American Populations: Improving Rare Variants Representation With the Inclusion of Native American Genomes. Front Genet 2021;12:719791. [PMID: 35046991 DOI: 10.3389/fgene.2021.719791] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
55 Howe LJ, Rasheed H, Jones PR, Boomsma DI, Evans DM, Giannelis A, Hayward C, Hopper JL, Hughes A, Lahtinen H, Li S, Lind PA, Martin NG, Martikainen P, Medland SE, Morris TT, Nivard MG, Pingault J, Silventoinen K, Smith JA, Willoughby EA, Wilson JF, Olav Åsvold B, Næss ØE, Smith GD, Kaprio J, Brumpton B, Davies NM, Within Family Consortium. Educational attainment, health outcomes and mortality: a within-sibship Mendelian randomization study.. [DOI: 10.1101/2022.01.11.22268884] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
56 Corella D. Why is it important to know DNA methylation patterns in people with hypertriglyceridaemia? Clínica e Investigación en Arteriosclerosis (English Edition) 2022;34:33-35. [DOI: 10.1016/j.artere.2022.02.001] [Reference Citation Analysis]
57 Corella D. ¿Por qué es importante conocer los patrones de metilación del ADN en personas con hipertrigliceridemia? Clínica e Investigación en Arteriosclerosis 2022;34:33-35. [DOI: 10.1016/j.arteri.2022.01.001] [Reference Citation Analysis]
58 Hui D, Thom CS, Lorenz K, Damrauer SM, Assimes TL, Voight BF. Mendelian randomization analyses reveal mediating factors of the causal effect of height on coronary artery disease.. [DOI: 10.1101/2021.12.16.21267869] [Reference Citation Analysis]
59 Patel RA, Musharoff SA, Spence JP, Pimentel H, Tcheandjieu C, Mostafavi H, Sinnott-armstrong N, Clarke SL, Smith CJ, Durda PP, Taylor KD, Tracy R, Liu Y, Johnson CW, Aguet F, Ardlie KG, Gabriel S, Smith J, Nickerson DA, Rich SS, Rotter JI, Tsao PS, Assimes TL, Pritchard JK, VA Million Veteran Program. Genetic interactions drive heterogeneity in causal variant effect sizes for gene expression and complex traits.. [DOI: 10.1101/2021.12.06.471235] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
60 Sohail M, Izarraras-Gomez A, Ortega-Del Vecchyo D. Populations, Traits, and Their Spatial Structure in Humans. Genome Biol Evol 2021;13:evab272. [PMID: 34894236 DOI: 10.1093/gbe/evab272] [Reference Citation Analysis]
61 Wang Y, Namba S, Lopera E, Kerminen S, Tsuo K, Läll K, Kanai M, Zhou W, Wu K, Favé M, Bhatta L, Awadalla P, Brumpton B, Deelen P, Hveem K, Lo Faro V, Mägi R, Murakami Y, Sanna S, Smoller JW, Uzunovic J, Wolford BN, Willer C, Gamazon ER, Cox NJ, Surakka I, Okada Y, Martin AR, Hirbo J, Global Biobank Meta-analysis Initiative. Global biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts.. [DOI: 10.1101/2021.11.18.21266545] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 10.0] [Reference Citation Analysis]
62 Morris TT, Heron J, Sanderson E, Smith GD, Tilling K. Interpretation of mendelian randomization using one measure of an exposure that varies over time.. [DOI: 10.1101/2021.11.18.21266515] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 9.0] [Reference Citation Analysis]
63 Yamamoto R, Chung R, Vazquez JM, Sheng H, Steinberg P, Ioannidis NM, Sudmant PH. Tissue-specific impacts of aging and genetics on gene expression patterns in humans.. [DOI: 10.1101/2021.11.16.468753] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
64 Polygenic Risk Score Task Force of the International Common Disease Alliance. Responsible use of polygenic risk scores in the clinic: potential benefits, risks and gaps. Nat Med 2021;27:1876-84. [PMID: 34782789 DOI: 10.1038/s41591-021-01549-6] [Cited by in Crossref: 65] [Cited by in F6Publishing: 72] [Article Influence: 65.0] [Reference Citation Analysis]
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