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For: MacArthur J, Bowler E, Cerezo M, Gil L, Hall P, Hastings E, Junkins H, McMahon A, Milano A, Morales J, Pendlington ZM, Welter D, Burdett T, Hindorff L, Flicek P, Cunningham F, Parkinson H. The new NHGRI-EBI Catalog of published genome-wide association studies (GWAS Catalog). Nucleic Acids Res 2017;45:D896-901. [PMID: 27899670 DOI: 10.1093/nar/gkw1133] [Cited by in Crossref: 1510] [Cited by in F6Publishing: 1536] [Article Influence: 251.7] [Reference Citation Analysis]
Number Citing Articles
1 Hruby GG, Mitra A. A naturalized view of literacy education: what the neuro- and life sciences may offer language and literacy research. International Encyclopedia of Education(Fourth Edition) 2023. [DOI: 10.1016/b978-0-12-818630-5.07076-7] [Reference Citation Analysis]
2 Zeng H, Zhong Z, Xu Z, Teng J, Wei C, Chen Z, Zhang W, Ding X, Li J, Zhang Z. Meta-analysis of genome-wide association studies uncovers shared candidate genes across breeds for pig fatness trait. BMC Genomics 2022;23:786. [DOI: 10.1186/s12864-022-09036-z] [Reference Citation Analysis]
3 Wang B, Dong X, Hu J, Gao L. Multi-omics peripheral and core regions of cancer. npj Syst Biol Appl 2022;8:47. [DOI: 10.1038/s41540-022-00258-1] [Reference Citation Analysis]
4 Liu C, Joehanes R, Ma J, Wang Y, Sun X, Keshawarz A, Sooda M, Huan T, Hwang S, Bui H, Tejada B, Munson PJ, Demirkale CY, Heard-costa NL, Pitsillides AN, Peloso GM, Feolo M, Sharopova N, Vasan RS, Levy D. Whole genome DNA and RNA sequencing of whole blood elucidates the genetic architecture of gene expression underlying a wide range of diseases. Sci Rep 2022;12:20167. [DOI: 10.1038/s41598-022-24611-w] [Reference Citation Analysis]
5 Sugawara Y, Hirakawa Y, Nagasu H, Narita A, Katayama A, Wada J, Shimizu M, Wada T, Kitamura H, Nakano T, Yokoi H, Yanagita M, Goto S, Narita I, Koshiba S, Tamiya G, Nangaku M, Yamamoto M, Kashihara N. Genome-wide association study of the risk of chronic kidney disease and kidney-related traits in the Japanese population: J-Kidney-Biobank. J Hum Genet 2022. [DOI: 10.1038/s10038-022-01094-1] [Reference Citation Analysis]
6 Nguyen T, Gao H, Liu D, Philips TJ, Ye Z, Lee J, Shi G, Copenhaver K, Zhang L, Wei L, Yu J, Zhang H, Barath A, Luong M, Zhang C, Gaspar-maia A, Li H, Wang L, Ordog T, Weinshilboum R. Glucocorticoids unmask silent non-coding genetic risk variants for common diseases. Nucleic Acids Research 2022. [DOI: 10.1093/nar/gkac1045] [Reference Citation Analysis]
7 Bolhuis K, Mulder RH, de Mol CL, Defina S, Warrier V, White T, Tiemeier H, Muetzel RL, Cecil CAM. Mapping gene by early life stress interactions on child subcortical brain structures: A genome‐wide prospective study. JCPP Advances 2022. [DOI: 10.1002/jcv2.12113] [Reference Citation Analysis]
8 Hecker J, Prokopenko D, Moll M, Lee S, Kim W, Qiao D, Voorhies K, Kim W, Vansteelandt S, Hobbs BD, Cho MH, Silverman EK, Lutz SM, Demeo DL, Weiss ST, Lange C. A robust and adaptive framework for interaction testing in quantitative traits between multiple genetic loci and exposure variables. PLoS Genet 2022;18:e1010464. [DOI: 10.1371/journal.pgen.1010464] [Reference Citation Analysis]
9 Taraszka K, Zaitlen N, Eskin E. Leveraging pleiotropy for joint analysis of genome-wide association studies with per trait interpretations. PLoS Genet 2022;18:e1010447. [DOI: 10.1371/journal.pgen.1010447] [Reference Citation Analysis]
10 Adua E. Decoding the mechanism of hypertension through multiomics profiling. J Hum Hypertens 2022. [DOI: 10.1038/s41371-022-00769-8] [Reference Citation Analysis]
11 Pasanen A, Karjalainen MK, Finngen, Zhang G, Tiensuu H, Haapalainen AM, Ojaniemi M, Feenstra B, Jacobsson B, Palotie A, Laivuori H, Muglia LJ, Rämet M, Hallman M. Meta-analysis of gestational duration and spontaneous preterm birth identifies new maternal risk loci.. [DOI: 10.1101/2022.10.31.22281753] [Reference Citation Analysis]
12 Ferreira JC, Alshamali F, Pereira L, Fernandes V. Characterization of Arabian Peninsula whole exomes: Contributing to the catalogue of human diversity. iScience 2022;25:105336. [DOI: 10.1016/j.isci.2022.105336] [Reference Citation Analysis]
13 Belkadi A, Thareja G, Abbaszadeh F, Badii R, Fauman E, Albagha OM, Suhre K. Identification of PCSK9-like human gene knockouts using metabolomics, proteomics, and whole-genome sequencing in a consanguineous population. Cell Genomics 2022. [DOI: 10.1016/j.xgen.2022.100218] [Reference Citation Analysis]
14 Feng F, Tang F, Gao Y, Zhu D, Li T, Yang S, Yao Y, Huang Y, Liu J. GenomicKB: a knowledge graph for the human genome. Nucleic Acids Research 2022. [DOI: 10.1093/nar/gkac957] [Reference Citation Analysis]
15 Zhang Y, Jiang X, Mentzer AJ, Lunter G, Mcvean G. Topic modelling with ICD10-informed priors identifies novel genetic loci associated with multimorbidities in UK Biobank.. [DOI: 10.1101/2022.10.28.22281623] [Reference Citation Analysis]
16 Nazarian A, Loiko E, Yassine HN, Finch CE, Kulminski AM. APOE alleles modulate associations of plasma metabolites with variants from multiple genes on chromosome 19q13.3. Front Aging Neurosci 2022;14. [DOI: 10.3389/fnagi.2022.1023493] [Reference Citation Analysis]
17 Tabarini N, Biagi E, Uva P, Iovino E, Pippucci T, Seri M, Cavalli A, Ceccherini I, Rusmini M, Viti F. Exploration of Tools for the Interpretation of Human Non-Coding Variants. IJMS 2022;23:12977. [DOI: 10.3390/ijms232112977] [Reference Citation Analysis]
18 Saitou M, Dahl A, Wang Q, Liu X. Allele frequency differences of causal variants have a major impact on low cross-ancestry portability of PRS.. [DOI: 10.1101/2022.10.21.22281371] [Reference Citation Analysis]
19 Liu X, Tian D, Li C, Tang B, Wang Z, Zhang R, Pan Y, Wang Y, Zou D, Zhang Z, Song S. GWAS Atlas: an updated knowledgebase integrating more curated associations in plants and animals. Nucleic Acids Res 2022:gkac924. [PMID: 36263826 DOI: 10.1093/nar/gkac924] [Reference Citation Analysis]
20 Carss KJ, Deaton AM, Del Rio-Espinola A, Diogo D, Fielden M, Kulkarni DA, Moggs J, Newham P, Nelson MR, Sistare FD, Ward LD, Yuan J. Using human genetics to improve safety assessment of therapeutics. Nat Rev Drug Discov 2022. [PMID: 36261593 DOI: 10.1038/s41573-022-00561-w] [Reference Citation Analysis]
21 Hundia N, Kabir N, Mehta S, Pokhriyal A, Chua ZE, Rajaram A, Lutz M, Kumar A. Genotype Imputation Using K-Nearest Neighbors and Levenshtein Distance Metric. 2022 13th International Conference on Information and Communication Technology Convergence (ICTC) 2022. [DOI: 10.1109/ictc55196.2022.9952611] [Reference Citation Analysis]
22 Wang D, Wu X, Jiang G, Yang J, Yu Z, Yang Y, Yang W, Niu X, Tang K, Gong J. Systematic analysis of the effects of genetic variants on chromatin accessibility to decipher functional variants in non-coding regions. Front Oncol 2022;12:1035855. [DOI: 10.3389/fonc.2022.1035855] [Reference Citation Analysis]
23 Nicholson DN, Himmelstein DS, Greene CS. Expanding a database-derived biomedical knowledge graph via multi-relation extraction from biomedical abstracts. BioData Min 2022;15:26. [PMID: 36258252 DOI: 10.1186/s13040-022-00311-z] [Reference Citation Analysis]
24 Al-harbi N, Vaali-mohammed M, Al-omar S, Zubaidi A, Al-obeed O, Abdulla M, Mansour L. Rs10204525 Polymorphism of the Programmed Death (PD-1) Gene Is Associated with Increased Risk in a Saudi Arabian Population with Colorectal Cancer. Medicina 2022;58:1439. [DOI: 10.3390/medicina58101439] [Reference Citation Analysis]
25 Zhou HJ, Li L, Li Y, Li W, Li JJ. PCA outperforms popular hidden variable inference methods for molecular QTL mapping. Genome Biol 2022;23:210. [PMID: 36221136 DOI: 10.1186/s13059-022-02761-4] [Reference Citation Analysis]
26 Chermon D, Birk R. FTO Common Obesity SNPs Interact with Actionable Environmental Factors: Physical Activity, Sugar-Sweetened Beverages and Wine Consumption. Nutrients 2022;14:4202. [PMID: 36235854 DOI: 10.3390/nu14194202] [Reference Citation Analysis]
27 Gao G, Fiorica PN, Mcclellan J, Barbeira A, Li JL, Olopade OI, Im HK, Huo D. A joint transcriptome-wide association study across multiple tissues identifies new candidate susceptibility genes for breast cancer.. [DOI: 10.1101/2022.09.30.22280575] [Reference Citation Analysis]
28 Zhou W, Kanai M, Wu KH, Rasheed H, Tsuo K, Hirbo JB, Wang Y, Bhattacharya A, Zhao H, Namba S, Surakka I, Wolford BN, Lo Faro V, Lopera-maya EA, Läll K, Favé M, Partanen JJ, Chapman SB, Karjalainen J, Kurki M, Maasha M, Brumpton BM, Chavan S, Chen T, Daya M, Ding Y, Feng YA, Guare LA, Gignoux CR, Graham SE, Hornsby WE, Ingold N, Ismail SI, Johnson R, Laisk T, Lin K, Lv J, Millwood IY, Moreno-grau S, Nam K, Palta P, Pandit A, Preuss MH, Saad C, Setia-verma S, Thorsteinsdottir U, Uzunovic J, Verma A, Zawistowski M, Zhong X, Afifi N, Al-dabhani KM, Al Thani A, Bradford Y, Campbell A, Crooks K, de Bock GH, Damrauer SM, Douville NJ, Finer S, Fritsche LG, Fthenou E, Gonzalez-arroyo G, Griffiths CJ, Guo Y, Hunt KA, Ioannidis A, Jansonius NM, Konuma T, Lee MTM, Lopez-pineda A, Matsuda Y, Marioni RE, Moatamed B, Nava-aguilar MA, Numakura K, Patil S, Rafaels N, Richmond A, Rojas-muñoz A, Shortt JA, Straub P, Tao R, Vanderwerff B, Vernekar M, Veturi Y, Barnes KC, Boezen M, Chen Z, Chen C, Cho J, Smith GD, Finucane HK, Franke L, Gamazon ER, Ganna A, Gaunt TR, Ge T, Huang H, Huffman J, Katsanis N, Koskela JT, Lajonchere C, Law MH, Li L, Lindgren CM, Loos RJ, Macgregor S, Matsuda K, Olsen CM, Porteous DJ, Shavit JA, Snieder H, Takano T, Trembath RC, Vonk JM, Whiteman DC, Wicks SJ, Wijmenga C, Wright J, Zheng J, Zhou X, Awadalla P, Boehnke M, Bustamante CD, Cox NJ, Fatumo S, Geschwind DH, Hayward C, Hveem K, Kenny EE, Lee S, Lin Y, Mbarek H, Mägi R, Martin HC, Medland SE, Okada Y, Palotie AV, Pasaniuc B, Rader DJ, Ritchie MD, Sanna S, Smoller JW, Stefansson K, van Heel DA, Walters RG, Zöllner S, Martin AR, Willer CJ, Daly MJ, Neale BM. Global Biobank Meta-analysis Initiative: Powering genetic discovery across human disease. Cell Genomics 2022;2:100192. [DOI: 10.1016/j.xgen.2022.100192] [Cited by in Crossref: 3] [Cited by in F6Publishing: 1] [Article Influence: 3.0] [Reference Citation Analysis]
29 Bupp CP, English BK, Rajasekaran S, Prokop JW. Introduction to Personalized Medicine in Pediatrics. Pediatr Ann 2022;51. [DOI: 10.3928/19382359-20220803-03] [Reference Citation Analysis]
30 Yang K, Hasegawa Y, Hua J, Dower M, Etyemez S, Prasad N, Duvall L, Paez A, Smith A, Lane AP, Ishizuka K, Kamath V, Kamiya A, Sawa A. Immune-related molecular changes in the olfactory epithelium, structural alteration in the olfactory bulb, and psychosis.. [DOI: 10.1101/2022.09.23.509224] [Reference Citation Analysis]
31 Kong D, Duan Y, Wang J, Liu Y. A functional polymorphism of microRNA-143 is associated with the risk of type 2 diabetes mellitus in the northern Chinese Han population. Front Endocrinol 2022;13:994953. [DOI: 10.3389/fendo.2022.994953] [Reference Citation Analysis]
32 Irving-pease EK, Refoyo-martínez A, Ingason A, Pearson A, Fischer A, Barrie W, Sjögren K, Halgren AS, Macleod R, Demeter F, Henriksen RA, Vimala T, Mccoll H, Vaughn A, Stern AJ, Speidel L, Scorrano G, Ramsøe A, Schork AJ, Rosengren A, Zhao L, Kristiansen K, Sudmant PH, Lawson DJ, Durbin R, Korneliussen T, Werge T, Allentoft ME, Sikora M, Nielsen R, Racimo F, Willerslev E. The Selection Landscape and Genetic Legacy of Ancient Eurasians.. [DOI: 10.1101/2022.09.22.509027] [Reference Citation Analysis]
33 Nguyen TTL, Liu D, Gao H, Ye Z, Lee JH, Wei L, Yu J, Zhang L, Wang L, Ordog T, Weinshilboum RM. Glucocorticoids mediate transcriptome-wide alternative polyadenylation: Potential mechanistic and clinical implications. Clin Transl Sci 2022. [PMID: 36128656 DOI: 10.1111/cts.13402] [Reference Citation Analysis]
34 Chan MMY, Sadeghi-Alavijeh O, Lopes FM, Hilger AC, Stanescu HC, Voinescu CD, Beaman GM, Newman WG, Zaniew M, Weber S, Ho YM, Connolly JO, Wood D, Maj C, Stuckey A, Kousathanas A, Kleta R, Woolf AS, Bockenhauer D, Levine AP, Gale DP; Genomics England Research Consortium. Diverse ancestry whole-genome sequencing association study identifies TBX5 and PTK7 as susceptibility genes for posterior urethral valves. Elife 2022;11:e74777. [PMID: 36124557 DOI: 10.7554/eLife.74777] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
35 Moledina M, Charteris DG, Chandra A. The Genetic Architecture of Non-Syndromic Rhegmatogenous Retinal Detachment. Genes (Basel) 2022;13:1675. [PMID: 36140841 DOI: 10.3390/genes13091675] [Reference Citation Analysis]
36 Papageorgiou L, Mangana E, Papakonstantinou E, Diakou I, Pierouli K, Dragoumani K, Bacopoulou F, Chrousos GP, Exarchos TP, Vlamos P, Eliopoulos E, Vlachakis D. An updated evolutionary and structural study of TBK1 reveals highly conserved motifs as potential pharmacological targets in neurodegenerative diseases.. [DOI: 10.1101/2022.09.16.508274] [Reference Citation Analysis]
37 Albiñana C, Zhu Z, Schork AJ, Ingason A, Aschard H, Brikell I, Bulik CM, Petersen LV, Agerbo E, Grove J, Nordentoft M, Hougaard DM, Werge T, Børglum AD, Mortensen PB, Mcgrath JJ, Neale BM, Privé F, Vilhjálmsson BJ. Multi-PGS enhances polygenic prediction: weighting 937 polygenic scores.. [DOI: 10.1101/2022.09.14.22279940] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
38 Santri IN, Irham LM, Djalilah GN, Perwitasari DA, Wardani Y, Phiri YVA, Adikusuma W. Identification of Hub Genes and Potential Biomarkers for Childhood Asthma by Utilizing an Established Bioinformatic Analysis Approach. Biomedicines 2022;10:2311. [DOI: 10.3390/biomedicines10092311] [Reference Citation Analysis]
39 Guo H, Li T, Wen H. Identifying shared genetic loci between coronavirus disease 2019 and cardiovascular diseases based on cross-trait meta-analysis. Front Microbiol 2022;13:993933. [DOI: 10.3389/fmicb.2022.993933] [Reference Citation Analysis]
40 Smit DJ, Bakker M, Abdellaoui A, Hoetink AE, Vulink NC, Denys D. Genetic evidence for the link of misophonia with psychiatric disorders and personality.. [DOI: 10.1101/2022.09.04.22279567] [Reference Citation Analysis]
41 Guo G, Lin MJ, Harris KM. Socioeconomic and genomic roots of verbal ability from current evidence. NPJ Sci Learn 2022;7:22. [PMID: 36085328 DOI: 10.1038/s41539-022-00137-8] [Reference Citation Analysis]
42 Shi X, Wei T, Hu Y, Wang M, Tang Y. The associations between plasma soluble Trem1 and neurological diseases: a Mendelian randomization study. J Neuroinflammation 2022;19:218. [PMID: 36068612 DOI: 10.1186/s12974-022-02582-z] [Reference Citation Analysis]
43 Lv X, Jiang Y, Yang D, Zhu C, Yuan H, Yuan Z, Suo C, Chen X, Xu K. The role of metabolites under the influence of genes and lifestyles in bone density changes. Front Nutr 2022;9. [DOI: 10.3389/fnut.2022.934951] [Reference Citation Analysis]
44 Ma X, Cheng S, Ding R, Zhao Z, Zou X, Guang S, Wang Q, Jing H, Yu C, Ni T, Li L. ipaQTL-atlas: an atlas of intronic polyadenylation quantitative trait loci across human tissues. Nucleic Acids Res 2022:gkac736. [PMID: 36043442 DOI: 10.1093/nar/gkac736] [Reference Citation Analysis]
45 Reyes DM, Bose A, Karavani E, Parida L. FairPRS: a fairness framework for Polygenic Risk Scores.. [DOI: 10.1101/2022.08.28.22279309] [Reference Citation Analysis]
46 Kubota N, Suyama M. Mapping of promoter usage QTL using RNA-seq data reveals their contributions to complex traits. PLoS Comput Biol 2022;18:e1010436. [DOI: 10.1371/journal.pcbi.1010436] [Reference Citation Analysis]
47 Ashraf H, Solla P, Sechi LA. Current Advancement of Immunomodulatory Drugs as Potential Pharmacotherapies for Autoimmunity Based Neurological Diseases. Pharmaceuticals 2022;15:1077. [DOI: 10.3390/ph15091077] [Reference Citation Analysis]
48 Liu C, Ta CN, Havrilla JM, Nestor JG, Spotnitz ME, Geneslaw AS, Hu Y, Chung WK, Wang K, Weng C. OARD: Open annotations for rare diseases and their phenotypes based on real-world data. Am J Hum Genet 2022:S0002-9297(22)00319-6. [PMID: 35998640 DOI: 10.1016/j.ajhg.2022.08.002] [Reference Citation Analysis]
49 San-Cristobal R, de Toro-Martín J, Vohl MC. Appraisal of Gene-Environment Interactions in GWAS for Evidence-Based Precision Nutrition Implementation. Curr Nutr Rep 2022. [PMID: 35948824 DOI: 10.1007/s13668-022-00430-3] [Reference Citation Analysis]
50 Gillespie NA, Gentry AE, Kirkpatrick RM, Reynolds CA, Mathur R, Kendler KS, Maes HH, Webb BT, Peterson RE. Determining the stability of genome-wide factors in BMI between ages 40 to 69 years. PLoS Genet 2022;18:e1010303. [DOI: 10.1371/journal.pgen.1010303] [Reference Citation Analysis]
51 Comparelli A, Polidori L, Sarli G, Pistollato A, Pompili M. Differentiation and comorbidity of bipolar disorder and attention deficit and hyperactivity disorder in children, adolescents, and adults: A clinical and nosological perspective. Front Psychiatry 2022;13:949375. [DOI: 10.3389/fpsyt.2022.949375] [Reference Citation Analysis]
52 Konigorski S, Janke J, Patone G, Bergmann MM, Lippert C, Hübner N, Kaaks R, Boeing H, Pischon T. Identification of novel genes whose expression in adipose tissue affects body fat mass and distribution: an RNA-Seq and Mendelian Randomization study. Eur J Hum Genet 2022. [PMID: 35953519 DOI: 10.1038/s41431-022-01161-3] [Reference Citation Analysis]
53 Speller J, Staerk C, Mayr A. Robust statistical boosting with quantile-based adaptive loss functions. Int J Biostat 2022. [PMID: 35950232 DOI: 10.1515/ijb-2021-0127] [Reference Citation Analysis]
54 Fryett JJ, Morris AP, Cordell HJ. Investigating the prediction of CpG methylation levels from SNP genotype data to help elucidate relationships between methylation, gene expression and complex traits. Genet Epidemiol 2022. [PMID: 35930604 DOI: 10.1002/gepi.22496] [Reference Citation Analysis]
55 Campoy E, Puig M, Yakymenko I, Lerga-Jaso J, Cáceres M. Genomic architecture and functional effects of potential human inversion supergenes. Philos Trans R Soc Lond B Biol Sci 2022;377:20210209. [PMID: 35694745 DOI: 10.1098/rstb.2021.0209] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
56 Fitzgerald T, Birney E. CNest: A novel copy number association discovery method uncovers 862 new associations from 200,629 whole-exome sequence datasets in the UK Biobank. Cell Genomics 2022;2:100167. [DOI: 10.1016/j.xgen.2022.100167] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
57 Keur N, Ricaño-Ponce I, Kumar V, Matzaraki V. A systematic review of analytical methods used in genetic association analysis of the X-chromosome. Brief Bioinform 2022:bbac287. [PMID: 35901513 DOI: 10.1093/bib/bbac287] [Reference Citation Analysis]
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269 Chande AT, Rishishwar L, Ban D, Nagar SD, Conley AB, Rowell J, Valderrama-Aguirre AE, Medina-Rivas MA, Jordan IK. The Phenotypic Consequences of Genetic Divergence between Admixed Latin American Populations: Antioquia and Chocó, Colombia. Genome Biol Evol 2020;12:1516-27. [PMID: 32681795 DOI: 10.1093/gbe/evaa154] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
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271 Xu H, Zhen Q, Bai M, Fang L, Zhang Y, Li B, Ge H, Moon S, Chen W, Fu W, Xu Q, Zhou Y, Yu Y, Lin L, Yong L, Zhang T, Chen S, Liu S, Zhang H, Chen R, Cao L, Zhang Y, Zhang R, Yang H, Hu X, Akey JM, Jin X, Sun L. Deep sequencing of 1320 genes reveals the landscape of protein-truncating variants and their contribution to psoriasis in 19,973 Chinese individuals. Genome Res 2021. [PMID: 34155038 DOI: 10.1101/gr.267963.120] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
272 Guebila MB, Lopes-ramos CM, Weighill D, Sonawane AR, Burkholz R, Shamsaei B, Platig J, Glass K, Kuijjer ML, Quackenbush J. GRAND: A database of gene regulatory network models across human conditions.. [DOI: 10.1101/2021.06.18.448997] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
273 Verlouw JAM, Clemens E, de Vries JH, Zolk O, Verkerk AJMH, Am Zehnhoff-Dinnesen A, Medina-Gomez C, Lanvers-Kaminsky C, Rivadeneira F, Langer T, van Meurs JBJ, van den Heuvel-Eibrink MM, Uitterlinden AG, Broer L. A comparison of genotyping arrays. Eur J Hum Genet 2021. [PMID: 34140649 DOI: 10.1038/s41431-021-00917-7] [Cited by in Crossref: 13] [Cited by in F6Publishing: 16] [Article Influence: 13.0] [Reference Citation Analysis]
274 Kuo CC, Chiang AWT, Baghdassarian HM, Lewis NE. Dysregulation of the secretory pathway connects Alzheimer's disease genetics to aggregate formation. Cell Syst 2021:S2405-4712(21)00208-8. [PMID: 34171228 DOI: 10.1016/j.cels.2021.06.001] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
275 Veturi Y, Lucas A, Bradford Y, Hui D, Dudek S, Theusch E, Verma A, Miller JE, Kullo I, Hakonarson H, Sleiman P, Schaid D, Stein CM, Edwards DRV, Feng Q, Wei WQ, Medina MW, Krauss RM, Hoffmann TJ, Risch N, Voight BF, Rader DJ, Ritchie MD. A unified framework identifies new links between plasma lipids and diseases from electronic medical records across large-scale cohorts. Nat Genet 2021;53:972-81. [PMID: 34140684 DOI: 10.1038/s41588-021-00879-y] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
276 Torgersen K, Bahrami S, Frei O, Shadrin A, Connell KSO, Smeland OB, Munkhaugen J, Djurovic S, Dammen T, Andreassen OA. Shared genetic architecture between neuroticism, coronary artery disease and cardiovascular risk factors. Transl Psychiatry 2021;11:368. [PMID: 34226488 DOI: 10.1038/s41398-021-01466-9] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
277 Ni P, Su Z. Accurate prediction of cis-regulatory modules reveals a prevalent regulatory genome of humans. NAR Genom Bioinform 2021;3:lqab052. [PMID: 34159315 DOI: 10.1093/nargab/lqab052] [Cited by in Crossref: 4] [Cited by in F6Publishing: 7] [Article Influence: 4.0] [Reference Citation Analysis]
278 Osterman MD, Kinzy TG, Bailey JNC. Polygenic Risk Scores. Curr Protoc 2021;1:e126. [PMID: 33987971 DOI: 10.1002/cpz1.126] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
279 Borda V, da Silva Francisco Junior R, Carvalho JB, Morais GL, Duque Rossi Á, Pezzuto P, Azevedo GS, Schamber-Reis BL, Portari EA, Melo A, Moreira MEL, Guida LC, Cunha DP, Gomes L, Vasconcelos ZFM, Faucz FR, Tanuri A, Stratakis CA, Aguiar RS, Cardoso CC, Vasconcelos ATR. Whole-exome sequencing reveals insights into genetic susceptibility to Congenital Zika Syndrome. PLoS Negl Trop Dis 2021;15:e0009507. [PMID: 34125832 DOI: 10.1371/journal.pntd.0009507] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
280 Xu Z, Platig J, Lee S, Boueiz A, Chase R, Jain D, Gregory A, Suryadevara R, Berman S, Bowler R, Hersh CP, Laederach A, Castaldi PJ, for the COPDGene Investigators. Cigarette Smoking-Associated Isoform Switching and 3’ UTR Lengthening Via Alternative Polyadenylation.. [DOI: 10.1101/2021.06.09.21258495] [Reference Citation Analysis]
281 Chilunga FP, Henneman P, Venema A, Meeks KAC, Requena-Méndez A, Beune E, Mockenhaupt FP, Smeeth L, Bahendeka S, Danquah I, Klipstein-Grobusch K, Adeyemo A, Mannens MMAM, Agyemang C. Genome-wide DNA methylation analysis on C-reactive protein among Ghanaians suggests molecular links to the emerging risk of cardiovascular diseases. NPJ Genom Med 2021;6:46. [PMID: 34117263 DOI: 10.1038/s41525-021-00213-9] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
282 Misztal I, Aguilar I, Lourenco D, Ma L, Steibel JP, Toro M. Emerging issues in genomic selection. J Anim Sci 2021;99:skab092. [PMID: 33773494 DOI: 10.1093/jas/skab092] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
283 Machipisa T, Chong M, Muhamed B, Chishala C, Shaboodien G, Pandie S, de Vries J, Laing N, Joachim A, Daniels R, Ntsekhe M, Hugo-Hamman CT, Gitura B, Ogendo S, Lwabi P, Okello E, Damasceno A, Novela C, Mocumbi AO, Madeira G, Musuku J, Mtaja A, ElSayed A, Elhassan HHM, Bode-Thomas F, Okeahialam BN, Zühlke LJ, Mulder N, Ramesar R, Lesosky M, Parks T, Cordell HJ, Keavney B, Engel ME, Paré G. Association of Novel Locus With Rheumatic Heart Disease in Black African Individuals: Findings From the RHDGen Study. JAMA Cardiol 2021. [PMID: 34106200 DOI: 10.1001/jamacardio.2021.1627] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
284 Salehi Z, Keramatipour M, Talebi S, Arab SS, Naser Moghadasi A, Sahraian MA, Izad M. Exome sequencing reveals novel rare variants in Iranian familial multiple sclerosis: The importance of POLD2 in the disease pathogenesis. Genomics 2021;113:2645-55. [PMID: 34116171 DOI: 10.1016/j.ygeno.2021.06.008] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
285 Fuzo CA, da Veiga Ued F, Moco S, Cominetti O, Métairon S, Pruvost S, Charpagne A, Carayol J, Torrieri R, Silva WA Jr, Descombes P, Kaput J, Monteiro JP. Contribution of genetic ancestry and polygenic risk score in meeting vitamin B12 needs in healthy Brazilian children and adolescents. Sci Rep 2021;11:11992. [PMID: 34099811 DOI: 10.1038/s41598-021-91530-7] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
286 Luo X, Yin J, Dwyer D, Yamawaki T, Zhou H, Ge H, Han CY, Shkumatov A, Snyder K, Ason B, Li CM, Homann O, Stolina M. Chamber-enriched gene expression profiles in failing human hearts with reduced ejection fraction. Sci Rep 2021;11:11839. [PMID: 34088950 DOI: 10.1038/s41598-021-91214-2] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
287 Song Y, Biernacka JM, Winham SJ. Testing and estimation of X-chromosome SNP effects: Impact of model assumptions. Genet Epidemiol 2021;45:577-92. [PMID: 34082482 DOI: 10.1002/gepi.22393] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
288 Asselta R, Paraboschi EM, Gerussi A, Cordell HJ, Mells GF, Sandford RN, Jones DE, Nakamura M, Ueno K, Hitomi Y, Kawashima M, Nishida N, Tokunaga K, Nagasaki M, Tanaka A, Tang R, Li Z, Shi Y, Liu X, Xiong M, Hirschfield G, Siminovitch KA, Carbone M, Cardamone G, Duga S, Gershwin ME, Seldin MF, Invernizzi P; Canadian-US PBC Consortium, Italian PBC Genetics Study Group, UK-PBC Consortium, Japan PBC-GWAS Consortium. X Chromosome Contribution to the Genetic Architecture of Primary Biliary Cholangitis. Gastroenterology 2021;160:2483-2495.e26. [PMID: 33675743 DOI: 10.1053/j.gastro.2021.02.061] [Cited by in Crossref: 14] [Cited by in F6Publishing: 13] [Article Influence: 14.0] [Reference Citation Analysis]
289 Fontsere C, Frandsen P, Hernandez-rodriguez J, Niemann J, Scharff-olsen CH, Vallet D, Gouar PL, Ménard N, Navarro A, Siegismund HR, Hvilsom C, Gilbert MTP, Kuhlwilm M, Hughes D, Marques-bonet T. The genetic impact of an Ebola outbreak on a wild gorilla population.. [DOI: 10.1101/2021.05.31.446409] [Reference Citation Analysis]
290 Bralten J, Mota NR, Klemann CJHM, De Witte W, Laing E, Collier DA, de Kluiver H, Bauduin SEEC, Arango C, Ayuso-Mateos JL, Fabbri C, Kas MJ, van der Wee N, Penninx BWJH, Serretti A, Franke B, Poelmans G. Genetic underpinnings of sociability in the general population. Neuropsychopharmacology 2021;46:1627-34. [PMID: 34054130 DOI: 10.1038/s41386-021-01044-z] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 10.0] [Reference Citation Analysis]
291 Zheng Z, Hua R, Xu G, Yang H, Shi P. Gene losses may contribute to subterranean adaptations in naked mole-rat and blind mole-rat.. [DOI: 10.1101/2021.05.28.446201] [Reference Citation Analysis]
292 Huang X, Fortier AL, Coffman AJ, Struck TJ, Irby MN, James JE, León-Burguete JE, Ragsdale AP, Gutenkunst RN. Inferring genome-wide correlations of mutation fitness effects between populations. Mol Biol Evol 2021:msab162. [PMID: 34043790 DOI: 10.1093/molbev/msab162] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 11.0] [Reference Citation Analysis]
293 Oh S, Shao J, Mitra J, Xiong F, D'Antonio M, Wang R, Garcia-Bassets I, Ma Q, Zhu X, Lee JH, Nair SJ, Yang F, Ohgi K, Frazer KA, Zhang ZD, Li W, Rosenfeld MG. Enhancer release and retargeting activates disease-susceptibility genes. Nature 2021;595:735-40. [PMID: 34040254 DOI: 10.1038/s41586-021-03577-1] [Cited by in Crossref: 31] [Cited by in F6Publishing: 34] [Article Influence: 31.0] [Reference Citation Analysis]
294 Daulatabad SV, Srivastava R, Janga SC. Lantern: an integrative repository of functional annotations for lncRNAs in the human genome. BMC Bioinformatics 2021;22:279. [PMID: 34039271 DOI: 10.1186/s12859-021-04207-3] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
295 Hennig EE, Kluska A, Piątkowska M, Kulecka M, Bałabas A, Zeber-Lubecka N, Goryca K, Ambrożkiewicz F, Karczmarski J, Olesiński T, Zyskowski Ł, Ostrowski J. GWAS Links New Variant in Long Non-Coding RNA LINC02006 with Colorectal Cancer Susceptibility. Biology (Basel) 2021;10:465. [PMID: 34070617 DOI: 10.3390/biology10060465] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
296 Yurko R, Roeder K, Devlin B, G’sell M. An approach to gene-based testing accounting for dependence of tests among nearby genes.. [DOI: 10.1101/2021.05.24.445494] [Reference Citation Analysis]
297 Zhang W, Quevedo J, Fries GR. Essential genes from genome-wide screenings as a resource for neuropsychiatric disorders gene discovery. Transl Psychiatry 2021;11:317. [PMID: 34035214 DOI: 10.1038/s41398-021-01447-y] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
298 Manjunath M, Yan J, Youn Y, Drucker KL, Kollmeyer TM, McKinney AM, Zazubovich V, Zhang Y, Costello JF, Eckel-Passow J, Selvin PR, Jenkins RB, Song JS. Functional analysis of low-grade glioma genetic variants predicts key target genes and transcription factors. Neuro Oncol 2021;23:638-49. [PMID: 33130899 DOI: 10.1093/neuonc/noaa248] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
299 Yang J, Wang D, Yang Y, Yang W, Jin W, Niu X, Gong J. A systematic comparison of normalization methods for eQTL analysis. Brief Bioinform 2021:bbab193. [PMID: 34015824 DOI: 10.1093/bib/bbab193] [Reference Citation Analysis]
300 Dong X, Li X, Chang TW, Scherzer CR, Weiss ST, Qiu W. powerEQTL: An R package and shiny application for sample size and power calculation of bulk tissue and single-cell eQTL analysis. Bioinformatics 2021:btab385. [PMID: 34009297 DOI: 10.1093/bioinformatics/btab385] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 3.0] [Reference Citation Analysis]
301 Al-Sarraj Y, Al-Dous E, Taha RZ, Ahram D, Alshaban F, Tolfat M, El-Shanti H, Albagha OME. Family-Based Genome-Wide Association Study of Autism Spectrum Disorder in Middle Eastern Families. Genes (Basel) 2021;12:761. [PMID: 34069769 DOI: 10.3390/genes12050761] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
302 Zhou G, Zeng Q, Wei W, Teng H, Liu C, Zhou Z, Liang B, Long H. A pilot study of differential gene expressions in patients with cough variant asthma and classic bronchial asthma. J Asthma 2021;:1-9. [PMID: 33878997 DOI: 10.1080/02770903.2021.1917604] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
303 Sakurai-Yageta M, Kumada K, Gocho C, Makino S, Uruno A, Tadaka S, Motoike IN, Kimura M, Ito S, Otsuki A, Narita A, Kudo H, Aoki Y, Danjoh I, Yasuda J, Kawame H, Minegishi N, Koshiba S, Fuse N, Tamiya G, Yamamoto M, Kinoshita K. Japonica Array NEO with increased genome-wide coverage and abundant disease risk SNPs. J Biochem 2021:mvab060. [PMID: 34131746 DOI: 10.1093/jb/mvab060] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
304 Dai X, Fu G, Zhao S, Zeng Y. Statistical Learning Methods Applicable to Genome-Wide Association Studies on Unbalanced Case-Control Disease Data. Genes (Basel) 2021;12:736. [PMID: 34068248 DOI: 10.3390/genes12050736] [Reference Citation Analysis]
305 Zhan J, Sun S, Chen Y, Xu C, Chen Q, Li M, Pei Y, Li Q. MiR-3130-5p is an intermediate modulator of 2q33 and influences the invasiveness of lung adenocarcinoma by targeting NDUFS1. Cancer Med 2021;10:3700-14. [PMID: 33978320 DOI: 10.1002/cam4.3885] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
306 Ashouri S, Wong JH, Nakagawa H, Shimada M, Tokunaga K, Fujimoto A. Characterization of intermediate-sized insertions using whole-genome sequencing data and analysis of their functional impact on gene expression. Hum Genet 2021;140:1201-16. [PMID: 33978893 DOI: 10.1007/s00439-021-02291-2] [Reference Citation Analysis]
307 Singh TP, Field MA, Bown MJ, Jones GT, Golledge J. Systematic review of genome-wide association studies of abdominal aortic aneurysm. Atherosclerosis 2021;327:39-48. [PMID: 34038762 DOI: 10.1016/j.atherosclerosis.2021.05.001] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
308 Pazoki R, Vujkovic M, Elliott J, Evangelou E, Gill D, Ghanbari M, van der Most PJ, Pinto RC, Wielscher M, Farlik M, Zuber V, de Knegt RJ, Snieder H, Uitterlinden AG, Lynch JA, Jiang X, Said S, Kaplan DE, Lee KM, Serper M, Carr RM, Tsao PS, Atkinson SR, Dehghan A, Tzoulaki I, Ikram MA, Herzig KH, Järvelin MR, Alizadeh BZ, O'Donnell CJ, Saleheen D, Voight BF, Chang KM, Thursz MR, Elliott P; Lifelines Cohort Study., VA Million Veteran Program. Genetic analysis in European ancestry individuals identifies 517 loci associated with liver enzymes. Nat Commun 2021;12:2579. [PMID: 33972514 DOI: 10.1038/s41467-021-22338-2] [Cited by in Crossref: 12] [Cited by in F6Publishing: 14] [Article Influence: 12.0] [Reference Citation Analysis]
309 Yang K, Hua J, Etyemez S, Paez A, Prasad N, Ishizuka K, Sawa A, Kamath V. Volumetric alteration of olfactory bulb and immune-related molecular changes in olfactory epithelium in first episode psychosis patients.. [DOI: 10.1101/2021.05.03.442464] [Reference Citation Analysis]
310 Denault WRP, Romanowska J, Helgeland Ø, Jacobsson B, Gjessing HK, Jugessur A. A fast wavelet-based functional association analysis replicates several susceptibility loci for birth weight in a Norwegian population. BMC Genomics 2021;22:321. [PMID: 33932983 DOI: 10.1186/s12864-021-07582-6] [Reference Citation Analysis]
311 Nazarian A, Kulminski AM. Genome-Wide Analysis of Sex Disparities in the Genetic Architecture of Lung and Colorectal Cancers. Genes (Basel) 2021;12:686. [PMID: 34062886 DOI: 10.3390/genes12050686] [Reference Citation Analysis]
312 Grau-Perez M, Voruganti VS, Balakrishnan P, Haack K, Goessler W, Franceschini N, Redón J, Cole SA, Navas-Acien A, Tellez-Plaza M. Genetic variation and urine cadmium levels: ABCC1 effects in the Strong Heart Family Study. Environ Pollut 2021;276:116717. [PMID: 33640655 DOI: 10.1016/j.envpol.2021.116717] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
313 Hormozdiari F, Jung J, Eskin E, J Joo JW. MARS: leveraging allelic heterogeneity to increase power of association testing. Genome Biol 2021;22:128. [PMID: 33931127 DOI: 10.1186/s13059-021-02353-8] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
314 Lin HY, Huang PY, Cheng CH, Tung HY, Fang Z, Berglund AE, Chen A, French-Kwawu J, Harris D, Pow-Sang J, Yamoah K, Cleveland JL, Awasthi S, Rounbehler RJ, Gerke T, Dhillon J, Eeles R, Kote-Jarai Z, Muir K, Schleutker J, Pashayan N, Neal DE, Nielsen SF, Nordestgaard BG, Gronberg H, Wiklund F, Giles GG, Haiman CA, Travis RC, Stanford JL, Kibel AS, Cybulski C, Khaw KT, Maier C, Thibodeau SN, Teixeira MR, Cannon-Albright L, Brenner H, Kaneva R, Pandha H, Srinivasan S, Clements J, Batra J, Park JY; UKGPCS collaborators., APCB (Australian Prostate Cancer BioResource)., PRACTICAL consortium. KLK3 SNP-SNP interactions for prediction of prostate cancer aggressiveness. Sci Rep 2021;11:9264. [PMID: 33927218 DOI: 10.1038/s41598-021-85169-7] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
315 Sobczyk MK, Gaunt TR, Paternoster L. MendelVar: gene prioritization at GWAS loci using phenotypic enrichment of Mendelian disease genes. Bioinformatics 2021;37:1-8. [PMID: 33836063 DOI: 10.1093/bioinformatics/btaa1096] [Cited by in Crossref: 4] [Cited by in F6Publishing: 6] [Article Influence: 4.0] [Reference Citation Analysis]
316 Minică CC, Boomsma DI, Dolan CV, de Geus E, Neale MC. Empirical comparisons of multiple Mendelian randomization approaches in the presence of assortative mating. Int J Epidemiol 2020;49:1185-93. [PMID: 32155257 DOI: 10.1093/ije/dyaa013] [Cited by in Crossref: 9] [Cited by in F6Publishing: 11] [Article Influence: 9.0] [Reference Citation Analysis]
317 Li B, Veturi Y, Verma A, Bradford Y, Daar ES, Gulick RM, Riddler SA, Robbins GK, Lennox JL, Haas DW, Ritchie MD. Tissue specificity-aware TWAS (TSA-TWAS) framework identifies novel associations with metabolic, immunologic, and virologic traits in HIV-positive adults. PLoS Genet 2021;17:e1009464. [PMID: 33901188 DOI: 10.1371/journal.pgen.1009464] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
318 Chilunga FP, Henneman P, Venema A, Meeks KA, Gonzalez JR, Ruiz-Arenas C, Requena-Méndez A, Beune E, Spranger J, Smeeth L, Bahendeka S, Owusu-Dabo E, Klipstein-Grobusch K, Adeyemo A, Mannens MM, Agyemang C. DNA methylation as the link between migration and the major noncommunicable diseases: the RODAM study. Epigenomics 2021;13:653-66. [PMID: 33890479 DOI: 10.2217/epi-2020-0329] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
319 Elkina AY, Akimova NS, Shvarts YG. Polymorphism of ACE, AGT, AGTR1 genes as genetic predictors of hypertension. Russ J Cardiol 2021;26:4143. [DOI: 10.15829/1560-4071-2021-4143] [Reference Citation Analysis]
320 Chen X, Sun Z. Novel lincRNA Discovery and Tissue-Specific Gene Expression across 30 Normal Human Tissues. Genes (Basel) 2021;12:614. [PMID: 33919168 DOI: 10.3390/genes12050614] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
321 Fadlelmola FM, Ghedira K, Hamdi Y, Hanachi M, Radouani F, Allali I, Kiran A, Zass L, Alsayed N, Fassatoui M, Samtal C, Ahmed S, Da Rocha J, Chaqsare S, Sallam RM, Chaouch M, Farahat M, Ssekagiri A, Parker Z, Adil M, Turkson M, Benchaalia A, Benkahla A, Panji S, Kassim S, Souiai O, Mulder N. H3ABioNet genomic medicine and microbiome data portals hackathon proceedings. Database (Oxford) 2021;2021:baab016. [PMID: 33864455 DOI: 10.1093/database/baab016] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
322 Mariam A, Miller-Atkins G, Pantalone KM, Zimmerman RS, Barnard J, Kattan MW, Shah H, McLeod HL, Doria A, Wagner MJ, Buse JB, Motsinger-Reif AA, Rotroff DM. Type 2 Diabetes Subtype Responsive to ACCORD Intensive Glycemia Treatment. Diabetes Care 2021:dc202700. [PMID: 33863751 DOI: 10.2337/dc20-2700] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
323 Chiara M, D'Erchia AM, Gissi C, Manzari C, Parisi A, Resta N, Zambelli F, Picardi E, Pavesi G, Horner DS, Pesole G. Next generation sequencing of SARS-CoV-2 genomes: challenges, applications and opportunities. Brief Bioinform 2021;22:616-30. [PMID: 33279989 DOI: 10.1093/bib/bbaa297] [Cited by in Crossref: 87] [Cited by in F6Publishing: 89] [Article Influence: 87.0] [Reference Citation Analysis]
324 Chung RH, Chiu YF, Wang WC, Hwu CM, Hung YJ, Lee IT, Chuang LM, Quertermous T, Rotter JI, Chen YI, Chang IS, Hsiung CA. Multi-omics analysis identifies CpGs near G6PC2 mediating the effects of genetic variants on fasting glucose. Diabetologia 2021;64:1613-25. [PMID: 33842983 DOI: 10.1007/s00125-021-05449-9] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
325 Jantzen R, Payette Y, de Malliard T, Labbé C, Noisel N, Broët P. Validation of breast cancer risk assessment tools on a French-Canadian population-based cohort. BMJ Open 2021;11:e045078. [PMID: 33846154 DOI: 10.1136/bmjopen-2020-045078] [Cited by in Crossref: 1] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
326 Shenoi SJ, Baker EJ. Using Hierarchical Similarity To Examine The Genetics of Behçet’s Disease.. [DOI: 10.1101/2021.04.06.438717] [Reference Citation Analysis]
327 Naqvi S, Sleyp Y, Hoskens H, Indencleef K, Spence JP, Bruffaerts R, Radwan A, Eller RJ, Richmond S, Shriver MD, Shaffer JR, Weinberg SM, Walsh S, Thompson J, Pritchard JK, Sunaert S, Peeters H, Wysocka J, Claes P. Shared heritability of human face and brain shape. Nat Genet 2021;53:830-9. [PMID: 33821002 DOI: 10.1038/s41588-021-00827-w] [Cited by in Crossref: 17] [Cited by in F6Publishing: 19] [Article Influence: 17.0] [Reference Citation Analysis]
328 Taman H, Fenton CG, Anderssen E, Florholmen J, Paulssen RH. DNA hypo-methylation facilitates anti-inflammatory responses in severe ulcerative colitis. PLoS One 2021;16:e0248905. [PMID: 33793617 DOI: 10.1371/journal.pone.0248905] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
329 Mishra B, Athar M, Mukhtar MS. Transcriptional circuitry atlas of genetic diverse unstimulated murine and human macrophages define disparity in population-wide innate immunity. Sci Rep 2021;11:7373. [PMID: 33795737 DOI: 10.1038/s41598-021-86742-w] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
330 Zhong Y, Chen L, Li J, Yao Y, Liu Q, Niu K, Ma Y, Xu Y. Integration of summary data from GWAS and eQTL studies identified novel risk genes for coronary artery disease. Medicine (Baltimore) 2021;100:e24769. [PMID: 33725943 DOI: 10.1097/MD.0000000000024769] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
331 Wang K, Basu M, Malin J, Hannenhalli S. A transcription-centric model of SNP-age interaction. PLoS Genet 2021;17:e1009427. [PMID: 33770080 DOI: 10.1371/journal.pgen.1009427] [Cited by in Crossref: 1] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
332 Ouellette TW, Wright GE, Drögemöller BI, Ross CJ, Carleton BC. Integrating disease and drug-related phenotypes for improved identification of pharmacogenomic variants. Pharmacogenomics 2021;22:251-61. [PMID: 33769074 DOI: 10.2217/pgs-2020-0130] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
333 Amlie-Wolf A, Kuksa PP, Lee CY, Mlynarski E, Leung YY, Wang LS. Using INFERNO to Infer the Molecular Mechanisms Underlying Noncoding Genetic Associations. Methods Mol Biol 2021;2254:73-91. [PMID: 33326071 DOI: 10.1007/978-1-0716-1158-6_6] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
334 Li C, Liu M, An Y, Tian Y, Guan D, Wu H, Pei Z. Risk assessment of type 2 diabetes in northern China based on the logistic regression model. Technol Health Care 2021;29:351-8. [PMID: 33682772 DOI: 10.3233/THC-218033] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
335 Moraghebi M, Maleki R, Ahmadi M, Negahi AA, Abbasi H, Mousavi P. In silico Analysis of Polymorphisms in microRNAs Deregulated in Alzheimer Disease. Front Neurosci 2021;15:631852. [PMID: 33841080 DOI: 10.3389/fnins.2021.631852] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
336 Kubota N, Suyama M. Functional variants in hematopoietic transcription factor footprints and their roles in the risk of immune system diseases.. [DOI: 10.1101/2021.03.22.436360] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
337 Shinde V, Sobreira N, Wohler ES, Maiti G, Hu N, Silvestri G, George S, Jackson J, Chakravarti A, Willoughby CE, Chakravarti S. Pathogenic alleles in microtubule, secretory granule and extracellular matrix-related genes in familial keratoconus. Hum Mol Genet 2021;30:658-71. [PMID: 33729517 DOI: 10.1093/hmg/ddab075] [Cited by in Crossref: 4] [Cited by in F6Publishing: 5] [Article Influence: 4.0] [Reference Citation Analysis]
338 Ekoru K, Adeyemo AA, Chen G, Doumatey AP, Zhou J, Bentley AR, Shriner D, Rotimi CN. Genetic risk scores for cardiometabolic traits in sub-Saharan African populations. Int J Epidemiol 2021:dyab046. [PMID: 33729508 DOI: 10.1093/ije/dyab046] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
339 Sha Z, Schijven D, Carrion-Castillo A, Joliot M, Mazoyer B, Fisher SE, Crivello F, Francks C. The genetic architecture of structural left-right asymmetry of the human brain. Nat Hum Behav 2021. [PMID: 33723403 DOI: 10.1038/s41562-021-01069-w] [Cited by in Crossref: 27] [Cited by in F6Publishing: 28] [Article Influence: 27.0] [Reference Citation Analysis]
340 Moni MA, Lin PI, Quinn JMW, Eapen V. COVID-19 patient transcriptomic and genomic profiling reveals comorbidity interactions with psychiatric disorders. Transl Psychiatry 2021;11:160. [PMID: 33723208 DOI: 10.1038/s41398-020-01151-3] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 11.0] [Reference Citation Analysis]
341 Choquet H, Kim H. Genome-wide Genotyping of Cerebral Cavernous Malformation Type 1 Individuals to Identify Genetic Modifiers of Disease Severity. Methods Mol Biol 2020;2152:77-84. [PMID: 32524545 DOI: 10.1007/978-1-0716-0640-7_6] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
342 Simcoe M, Valdes A, Liu F, Furlotte NA, Evans DM, Hemani G, Ring SM, Smith GD, Duffy DL, Zhu G, Gordon SD, Medland SE, Vuckovic D, Girotto G, Sala C, Catamo E, Concas MP, Brumat M, Gasparini P, Toniolo D, Cocca M, Robino A, Yazar S, Hewitt A, Wu W, Kraft P, Hammond CJ, Shi Y, Chen Y, Zeng C, Klaver CCW, Uitterlinden AG, Ikram MA, Hamer MA, van Duijn CM, Nijsten T, Han J, Mackey DA, Martin NG, Cheng CY, Hinds DA, Spector TD, Kayser M, Hysi PG; 23andMe Research Team., International Visible Trait Genetics Consortium. Genome-wide association study in almost 195,000 individuals identifies 50 previously unidentified genetic loci for eye color. Sci Adv 2021;7:eabd1239. [PMID: 33692100 DOI: 10.1126/sciadv.abd1239] [Cited by in Crossref: 21] [Cited by in F6Publishing: 21] [Article Influence: 21.0] [Reference Citation Analysis]
343 Palmos AB, Millischer V, Menon DK, Nicholson TR, Taams L, Michael B, Hübel C, Breen G, COVID Clinical Neuroscience Study Consortium. Proteome-wide Mendelian randomization identifies causal links between blood proteins and severe COVID-19.. [DOI: 10.1101/2021.03.09.21253206] [Reference Citation Analysis]
344 Kosnik MB, Enroth S, Karlsson O. Distinct genetic regions are associated with differential population susceptibility to chemical exposures. Environ Int 2021;152:106488. [PMID: 33714141 DOI: 10.1016/j.envint.2021.106488] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
345 Wand H, Lambert SA, Tamburro C, Iacocca MA, O’sullivan JW, Sillari C, Kullo IJ, Rowley R, Dron JS, Brockman D, Venner E, Mccarthy MI, Antoniou AC, Easton DF, Hegele RA, Khera AV, Chatterjee N, Kooperberg C, Edwards K, Vlessis K, Kinnear K, Danesh JN, Parkinson H, Ramos EM, Roberts MC, Ormond KE, Khoury MJ, Janssens ACJW, Goddard KAB, Kraft P, Macarthur JAL, Inouye M, Wojcik GL. Improving reporting standards for polygenic scores in risk prediction studies. Nature 2021;591:211-9. [DOI: 10.1038/s41586-021-03243-6] [Cited by in Crossref: 121] [Cited by in F6Publishing: 126] [Article Influence: 121.0] [Reference Citation Analysis]
346 Shen Z, Hoeksema MA, Ouyang Z, Benner C, Glass CK. MAGGIE: leveraging genetic variation to identify DNA sequence motifs mediating transcription factor binding and function. Bioinformatics 2020;36:i84-92. [PMID: 32657363 DOI: 10.1093/bioinformatics/btaa476] [Cited by in Crossref: 10] [Cited by in F6Publishing: 10] [Article Influence: 10.0] [Reference Citation Analysis]
347 Wang A, Liu Z. A Two-Sample Robust Bayesian Mendelian Randomization Method Accounting for Linkage Disequilibrium and Idiosyncratic Pleiotropy with Applications to the COVID-19 Outcome.. [DOI: 10.1101/2021.03.02.21252801] [Reference Citation Analysis]
348 Lesseur C, Ferreiro-Iglesias A, McKay JD, Bossé Y, Johansson M, Gaborieau V, Landi MT, Christiani DC, Caporaso NC, Bojesen SE, Amos CI, Shete S, Liu G, Rennert G, Albanes D, Aldrich MC, Tardon A, Chen C, Triantafillos L, Field JK, Teare MD, Kiemeney LA, Diergaarde B, Ferris RL, Zienolddiny S, Lam S, Olshan AF, Weissler MC, Lacko M, Risch A, Bickeböller H, Ness AR, Thomas S, Le Marchand L, Schabath MB, Wünsch-Filho V, Tajara EH, Andrew AS, Clifford GM, Lazarus P, Grankvist K, Johansson M, Arnold S, Melander O, Brunnström H, Boccia S, Cadoni G, Timens W, Obeidat M, Xiao X, Houlston RS, Hung RJ, Brennan P. Genome-wide association meta-analysis identifies pleiotropic risk loci for aerodigestive squamous cell cancers. PLoS Genet 2021;17:e1009254. [PMID: 33667223 DOI: 10.1371/journal.pgen.1009254] [Cited by in Crossref: 8] [Cited by in F6Publishing: 8] [Article Influence: 8.0] [Reference Citation Analysis]
349 Seo J, Koçak DD, Bartelt LC, Williams CA, Barrera A, Gersbach CA, Reddy TE. AP-1 subunits converge promiscuously at enhancers to potentiate transcription. Genome Res 2021;31:538-50. [PMID: 33674350 DOI: 10.1101/gr.267898.120] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 2.0] [Reference Citation Analysis]
350 Forte JC, Folkertsma P, Gannamani R, Kumaraswamy S, Mount S, de Koning TJ, van Dam S, Wolffenbuttel BHR. Development and validation of decision rules models to stratify coronary artery disease, diabetes, and hypertension risk in preventive care: cohort study of returning UK Biobank participants.. [DOI: 10.1101/2021.03.01.21252657] [Reference Citation Analysis]
351 Hardcastle AJ, Liskova P, Bykhovskaya Y, McComish BJ, Davidson AE, Inglehearn CF, Li X, Choquet H, Habeeb M, Lucas SEM, Sahebjada S, Pontikos N, Lopez KER, Khawaja AP, Ali M, Dudakova L, Skalicka P, Van Dooren BTH, Geerards AJM, Haudum CW, Faro VL, Tenen A, Simcoe MJ, Patasova K, Yarrand D, Yin J, Siddiqui S, Rice A, Farraj LA, Chen YI, Rahi JS, Krauss RM, Theusch E, Charlesworth JC, Szczotka-Flynn L, Toomes C, Meester-Smoor MA, Richardson AJ, Mitchell PA, Taylor KD, Melles RB, Aldave AJ, Mills RA, Cao K, Chan E, Daniell MD, Wang JJ, Rotter JI, Hewitt AW, MacGregor S, Klaver CCW, Ramdas WD, Craig JE, Iyengar SK, O'Brart D, Jorgenson E, Baird PN, Rabinowitz YS, Burdon KP, Hammond CJ, Tuft SJ, Hysi PG. A multi-ethnic genome-wide association study implicates collagen matrix integrity and cell differentiation pathways in keratoconus. Commun Biol 2021;4:266. [PMID: 33649486 DOI: 10.1038/s42003-021-01784-0] [Cited by in Crossref: 15] [Cited by in F6Publishing: 17] [Article Influence: 15.0] [Reference Citation Analysis]
352 Liu X, Song Z, Li Y, Yao Y, Fang M, Bai C, An P, Chen H, Chen Z, Tang B, Shen J, Gao X, Zhang M, Chen P, Zhang T, Jia H, Liu X, Hou Y, Yang H, Wang J, Wang F, Xu X, Min J, Nie C, Zeng Y. Integrated genetic analyses revealed novel human longevity loci and reduced risks of multiple diseases in a cohort study of 15,651 Chinese individuals. Aging Cell 2021;20:e13323. [PMID: 33657282 DOI: 10.1111/acel.13323] [Cited by in Crossref: 13] [Cited by in F6Publishing: 13] [Article Influence: 13.0] [Reference Citation Analysis]
353 Luo P, Chen B, Liao B, Wu F. Predicting disease‐associated genes: Computational methods, databases, and evaluations. WIREs Data Mining Knowl Discov 2021;11. [DOI: 10.1002/widm.1383] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
354 Lee JTH, Patikas N, Kiselev VY, Hemberg M. Fast searches of large collections of single-cell data using scfind. Nat Methods 2021;18:262-71. [PMID: 33649586 DOI: 10.1038/s41592-021-01076-9] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
355 Kitani T, Maddipatla SC, Madupuri R, Greco C, Hartmann J, Baraniuk JN, Vasudevan S. In Search of Newer Targets for Inflammatory Bowel Disease: A Systems and a Network Medicine Approach. Network and Systems Medicine 2021;4:74-87. [DOI: 10.1089/nsm.2020.0012] [Reference Citation Analysis]
356 Balliu B, -Orive IC, Gloudemans MJ, Nachun DC, Durrant MG, Gazal S, Park CY, Knowles DA, Wabitsch M, Quertermous T, Knowles JW, Montgomery SB. An integrated approach to identify environmental modulators of genetic risk factors for complex traits.. [DOI: 10.1101/2021.02.23.432608] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
357 Wilson C, Kanhere A. The Missing Link Between Cancer-Associated Variants and LncRNAs. Trends Genet 2021;37:410-3. [PMID: 33622496 DOI: 10.1016/j.tig.2021.01.010] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 2.0] [Reference Citation Analysis]
358 Thareja G, Al-Sarraj Y, Belkadi A, Almotawa M, Suhre K, Albagha OME; Qatar Genome Program Research (QGPR) Consortium. Whole genome sequencing in the Middle Eastern Qatari population identifies genetic associations with 45 clinically relevant traits. Nat Commun 2021;12:1250. [PMID: 33623009 DOI: 10.1038/s41467-021-21381-3] [Cited by in Crossref: 20] [Cited by in F6Publishing: 21] [Article Influence: 20.0] [Reference Citation Analysis]
359 Wu Y, Murray GK, Byrne EM, Sidorenko J, Visscher PM, Wray NR. GWAS of peptic ulcer disease implicates Helicobacter pylori infection, other gastrointestinal disorders and depression. Nat Commun 2021;12:1146. [PMID: 33608531 DOI: 10.1038/s41467-021-21280-7] [Cited by in Crossref: 27] [Cited by in F6Publishing: 32] [Article Influence: 27.0] [Reference Citation Analysis]
360 Bai X, Li F, Zhang Z. Evidences for functional trans-acting eRNA-promoter R-loops at Alu sequences.. [DOI: 10.1101/2021.02.17.431596] [Reference Citation Analysis]
361 Peng Y, Yuan M, Xin J, Liu X, Wang J. Screening novel drug candidates for Alzheimer's disease by an integrated network and transcriptome analysis. Bioinformatics 2020;36:4626-32. [PMID: 32516365 DOI: 10.1093/bioinformatics/btaa563] [Cited by in Crossref: 12] [Cited by in F6Publishing: 15] [Article Influence: 12.0] [Reference Citation Analysis]
362 Winkler CA. Genome‐wide Genetic Approaches to Metabolic and Inflammatory Health Disparities. The Science of Health Disparities Research 2021. [DOI: 10.1002/9781119374855.ch7] [Reference Citation Analysis]
363 Graff RE, Cavazos TB, Thai KK, Kachuri L, Rashkin SR, Hoffman JD, Alexeeff SE, Blatchins M, Meyers TJ, Leong L, Tai CG, Emami NC, Corley DA, Kushi LH, Ziv E, Van Den Eeden SK, Jorgenson E, Hoffmann TJ, Habel LA, Witte JS, Sakoda LC. Cross-cancer evaluation of polygenic risk scores for 16 cancer types in two large cohorts. Nat Commun 2021;12:970. [PMID: 33579919 DOI: 10.1038/s41467-021-21288-z] [Cited by in Crossref: 25] [Cited by in F6Publishing: 26] [Article Influence: 25.0] [Reference Citation Analysis]
364 Mulford AJ, Wing C, Dolan ME, Wheeler HE. Genetically regulated expression underlies cellular sensitivity to chemotherapy in diverse populations. Hum Mol Genet 2021;30:305-17. [PMID: 33575800 DOI: 10.1093/hmg/ddab029] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
365 Daviet R, Nave G, Wind J. Genetic Data: Potential Uses and Misuses in Marketing. Journal of Marketing 2022;86:7-26. [DOI: 10.1177/0022242920980767] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
366 Liu X, Tang S, Zhong H, Tong X, Jie Z, Ding Q, Wang D, Guo R, Xiao L, Xu X, Yang H, Wang J, Zong Y, Liu W, Liu X, Zhang Y, Brix S, Kristiansen K, Hou Y, Jia H, Zhang T. A genome-wide association study for gut metagenome in Chinese adults illuminates complex diseases. Cell Discov 2021;7:9. [PMID: 33563976 DOI: 10.1038/s41421-020-00239-w] [Cited by in Crossref: 25] [Cited by in F6Publishing: 25] [Article Influence: 25.0] [Reference Citation Analysis]
367 Gebresilase T, Finan C, Suveges D, Tessema TS, Aseffa A, Davey G, Hatzikotoulas K, Zeggini E, Newport MJ, Tekola-Ayele F. Replication of HLA class II locus association with susceptibility to podoconiosis in three Ethiopian ethnic groups. Sci Rep 2021;11:3285. [PMID: 33558538 DOI: 10.1038/s41598-021-81836-x] [Reference Citation Analysis]
368 Adolphe C, Xue A, Fard AT, Genovesi LA, Yang J, Wainwright BJ. Genetic and functional interaction network analysis reveals global enrichment of regulatory T cell genes influencing basal cell carcinoma susceptibility. Genome Med 2021;13:19. [PMID: 33549134 DOI: 10.1186/s13073-021-00827-9] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 7.0] [Reference Citation Analysis]
369 Sasaki E, Köcher T, Filiault DL, Nordborg M. Revisiting a GWAS peak in Arabidopsis thaliana reveals possible confounding by genetic heterogeneity.. [DOI: 10.1101/2021.02.03.429533] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
370 Wand H, Knowles JW, Clarke SL. The need for polygenic score reporting standards in evidence-based practice: lipid genetics use case. Curr Opin Lipidol 2021;32:89-95. [PMID: 33538426 DOI: 10.1097/MOL.0000000000000733] [Cited by in Crossref: 4] [Cited by in F6Publishing: 4] [Article Influence: 4.0] [Reference Citation Analysis]
371 Boix CA, James BT, Park YP, Meuleman W, Kellis M. Regulatory genomic circuitry of human disease loci by integrative epigenomics. Nature 2021;590:300-7. [PMID: 33536621 DOI: 10.1038/s41586-020-03145-z] [Cited by in Crossref: 99] [Cited by in F6Publishing: 105] [Article Influence: 99.0] [Reference Citation Analysis]
372 Lin HY, Wang X, Tseng TS, Kao YH, Fang Z, Molina PE, Cheng CH, Berglund AE, Eeles RA, Muir KR, Pashayan N, Haiman CA, Brenner H, Consortium TP, Park JY. Alcohol Intake and Alcohol-SNP Interactions Associated with Prostate Cancer Aggressiveness. J Clin Med 2021;10:553. [PMID: 33540941 DOI: 10.3390/jcm10030553] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
373 Birolo G, Aneli S, Di Gaetano C, Cugliari G, Russo A, Allione A, Casalone E, Giorgio E, Paraboschi EM, Ardissino D, Duga S, Asselta R, Matullo G. Functional and clinical implications of genetic structure in 1686 Italian exomes. Hum Mutat 2021;42:272-89. [PMID: 33326653 DOI: 10.1002/humu.24156] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
374 Li K, Du Y, Li L, Wei DQ. Bioinformatics Approaches for Anti-cancer Drug Discovery. Curr Drug Targets 2020;21:3-17. [PMID: 31549592 DOI: 10.2174/1389450120666190923162203] [Cited by in Crossref: 23] [Cited by in F6Publishing: 26] [Article Influence: 23.0] [Reference Citation Analysis]
375 Tian J, Cai Y, Li Y, Lu Z, Huang J, Deng Y, Yang N, Wang X, Ying P, Zhang S, Zhu Y, Zhang H, Zhong R, Chang J, Miao X. CancerImmunityQTL: a database to systematically evaluate the impact of genetic variants on immune infiltration in human cancer. Nucleic Acids Res 2021;49:D1065-73. [PMID: 33010176 DOI: 10.1093/nar/gkaa805] [Cited by in Crossref: 9] [Cited by in F6Publishing: 9] [Article Influence: 9.0] [Reference Citation Analysis]
376 Xu F, Chen Y, Tillman KA, Cui Y, Williams RW, Bhattacharya SK, Lu L, Sun Y. Characterizing modifier genes of cardiac fibrosis phenotype in hypertrophic cardiomyopathy. Int J Cardiol 2021;330:135-41. [PMID: 33529666 DOI: 10.1016/j.ijcard.2021.01.047] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
377 Jin Q, Shi G. Meta-analysis of SNP-environment interaction with heterogeneity for overlapping data. Sci Rep 2021;11:2590. [PMID: 33510406 DOI: 10.1038/s41598-021-82336-8] [Reference Citation Analysis]
378 Sinnott-Armstrong N, Sousa IS, Laber S, Rendina-Ruedy E, Nitter Dankel SE, Ferreira T, Mellgren G, Karasik D, Rivas M, Pritchard J, Guntur AR, Cox RD, Lindgren CM, Hauner H, Sallari R, Rosen CJ, Hsu YH, Lander ES, Kiel DP, Claussnitzer M. A regulatory variant at 3q21.1 confers an increased pleiotropic risk for hyperglycemia and altered bone mineral density. Cell Metab 2021;33:615-628.e13. [PMID: 33513366 DOI: 10.1016/j.cmet.2021.01.001] [Cited by in Crossref: 16] [Cited by in F6Publishing: 18] [Article Influence: 16.0] [Reference Citation Analysis]
379 Keaton JM, Hellwege JN, Giri A, Torstenson ES, Kovesdy CP, Sun YV, Wilson PWF, O'Donnell CJ, Edwards TL, Hung AM, Velez Edwards DR; Million Veteran Program. Associations of biogeographic ancestry with hypertension traits. J Hypertens 2021;39:633-42. [PMID: 33534346 DOI: 10.1097/HJH.0000000000002701] [Reference Citation Analysis]
380 Pujol-Gualdo N, Sánchez-Mora C, Ramos-Quiroga JA, Ribasés M, Soler Artigas M. Integrating genomics and transcriptomics: Towards deciphering ADHD. Eur Neuropsychopharmacol 2021;44:1-13. [PMID: 33495110 DOI: 10.1016/j.euroneuro.2021.01.002] [Cited by in F6Publishing: 1] [Reference Citation Analysis]
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