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For: Smith SM, Douaud G, Chen W, Hanayik T, Alfaro-Almagro F, Sharp K, Elliott LT. An expanded set of genome-wide association studies of brain imaging phenotypes in UK Biobank. Nat Neurosci 2021;24:737-45. [PMID: 33875891 DOI: 10.1038/s41593-021-00826-4] [Cited by in Crossref: 70] [Cited by in F6Publishing: 77] [Article Influence: 35.0] [Reference Citation Analysis]
Number Citing Articles
1 Wu BS, Ge YJ, Zhang W, Chen SD, Xiang ST, Zhang YR, Ou YN, Jiang YC, Tan L, Cheng W, Suckling J, Feng JF, Yu JT, Mao Y. Genome-wide association study of cerebellar white matter microstructure and genetic overlap with common brain disorders. Neuroimage 2023;269:119928. [PMID: 36740028 DOI: 10.1016/j.neuroimage.2023.119928] [Reference Citation Analysis]
2 Ou YN, Wu BS, Ge YJ, Zhang Y, Jiang YC, Kuo K, Yang L, Tan L, Feng JF, Cheng W, Yu JT. The genetic architecture of human amygdala volumes and their overlap with common brain disorders. Transl Psychiatry 2023;13:90. [PMID: 36906575 DOI: 10.1038/s41398-023-02387-5] [Reference Citation Analysis]
3 Liu S, Smit DJA, Abdellaoui A, van Wingen GA, Verweij KJH. Brain Structure and Function Show Distinct Relations With Genetic Predispositions to Mental Health and Cognition. Biol Psychiatry Cogn Neurosci Neuroimaging 2023;8:300-10. [PMID: 35961582 DOI: 10.1016/j.bpsc.2022.08.003] [Cited by in Crossref: 1] [Article Influence: 1.0] [Reference Citation Analysis]
4 Sproviero W, Ghose U, Winchester LM, Fernandes M, Newby D, Sproviero D, Amin N, Smets B, He KY, Khramtsova EA, Patel P, Sarver BAJ, Howe T, Black MH, van Duijn C, Nevado-holgado A. The impact of Short Tandem Repeats on grey matter brain imaging derived phenotypes in UK Biobank.. [DOI: 10.1101/2023.02.27.23286496] [Reference Citation Analysis]
5 Arnatkeviciute A, Markello RD, Fulcher BD, Misic B, Fornito A. Toward Best Practices for Imaging Transcriptomics of the Human Brain. Biol Psychiatry 2023;93:391-404. [PMID: 36725139 DOI: 10.1016/j.biopsych.2022.10.016] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
6 Zhao B, Li Y, Fan Z, Wu Z, Shu J, Yang X, Yang Y, Wang X, Li B, Wang X, Copana C, Yang Y, Lin J, Li Y, Stein JL, O'Brien JM, Li T, Zhu H. Eye-brain connections revealed by multimodal retinal and brain imaging genetics in the UK Biobank. medRxiv 2023:2023. [PMID: 36824893 DOI: 10.1101/2023.02.16.23286035] [Reference Citation Analysis]
7 Zhao L, Zhao W, Cao J, Tu Y; International Headache Genetics Consortium (IHGC). Causal relationships between migraine and microstructural white matter: a Mendelian randomization study. J Headache Pain 2023;24:10. [PMID: 36793015 DOI: 10.1186/s10194-023-01550-z] [Reference Citation Analysis]
8 Miller AP, Gizer IR. Dual-systems models of the genetic architecture of impulsive personality traits: Neurogenetic evidence of distinct but related factors. medRxiv 2023:2023. [PMID: 36824800 DOI: 10.1101/2023.02.10.23285725] [Reference Citation Analysis]
9 Niu PP, Wang X, Xu YM. Causal effects of serum testosterone levels on brain volume: a sex-stratified Mendelian randomization study. J Endocrinol Invest 2023. [PMID: 36780066 DOI: 10.1007/s40618-023-02028-0] [Reference Citation Analysis]
10 Shams H, Shao X, Santaniello A, Kirkish G, Harroud A, Ma Q, Isobe N, Schaefer CA, McCauley JL, Cree BAC, Didonna A, Baranzini SE, Patsopoulos NA, Hauser SL, Barcellos LF, Henry RG, Oksenberg JR; University of California San Francisco MS-EPIC Team. Polygenic risk score association with multiple sclerosis susceptibility and phenotype in Europeans. Brain 2023;146:645-56. [PMID: 35253861 DOI: 10.1093/brain/awac092] [Cited by in Crossref: 5] [Cited by in F6Publishing: 5] [Article Influence: 5.0] [Reference Citation Analysis]
11 Matoba N, Le BD, Valone JM, Wolter JM, Mory J, Liang D, Ayg ºn N, Broadaway KA, Bond ML, Mohlke KL, Zylka MJ, Love MI, Stein JL. WNT activity reveals context-specific genetic effects on gene regulation in neural progenitors. bioRxiv 2023:2023. [PMID: 36798360 DOI: 10.1101/2023.02.07.527357] [Reference Citation Analysis]
12 Sun Y, Liang Z, Xia X, Wang MH, Zhu C, Pan Y, Sun R. Extra cup of tea intake associated with increased risk of Alzheimer's disease: Genetic insights from Mendelian randomization. Front Nutr 2023;10:1052281. [PMID: 36761219 DOI: 10.3389/fnut.2023.1052281] [Reference Citation Analysis]
13 Lee Y, Park JY, Lee JJ, Gim J, Do AR, Jo J, Park J, Kim K, Park K, Jin H, Choi KY, Kang S, Kim H, Kim S, Moon SH, Farrer LA, Lee KH, Won S. Heritability of cognitive abilities and regional brain structures in middle-aged to elderly East Asians. Cereb Cortex 2023:bhac483. [PMID: 36642501 DOI: 10.1093/cercor/bhac483] [Reference Citation Analysis]
14 Wang C, Shi Z, Li Y, Xia X, Kuang X, Qian S, Xue L, Lan L, Wu Y, Zhang N, Tao J, Hu X, Cao W, He N, Guo Y, Chen W, Zhang J, Luo J, Wang H, Tian M. Protocol for Brain Magnetic Resonance Imaging and Extraction of Imaging-Derived Phenotypes from the China Phenobank Project. Phenomics 2023. [DOI: 10.1007/s43657-022-00083-w] [Reference Citation Analysis]
15 Lee S, Bijsterbosch JD, Almagro FA, Elliott L, McCarthy P, Taschler B, Sala-Llonch R, Beckmann CF, Duff EP, Smith SM, Douaud G. Amplitudes of resting-state functional networks - investigation into their correlates and biophysical properties. Neuroimage 2023;265:119779. [PMID: 36462729 DOI: 10.1016/j.neuroimage.2022.119779] [Reference Citation Analysis]
16 Guo X, Wang D, Ying C, Hong Y. Association between brain structures and migraine: A bidirectional Mendelian randomization study. Front Neurosci 2023;17:1148458. [PMID: 36937660 DOI: 10.3389/fnins.2023.1148458] [Reference Citation Analysis]
17 Bogdan R, Hatoum AS, Johnson EC, Agrawal A. The Genetically Informed Neurobiology of Addiction (GINA) model. Nat Rev Neurosci 2023;24:40-57. [PMID: 36446900 DOI: 10.1038/s41583-022-00656-8] [Reference Citation Analysis]
18 Dong S, Yu K, Tang S, Guo J, Guo Y, Yang T. Evaluation of the causal associations between brain imaging-derived phenotypes and type 2 diabetes: a bidirectional Mendelian randomization study.. [DOI: 10.1101/2022.12.16.22283558] [Reference Citation Analysis]
19 Ramos Meyers G, Samouda H, Bohn T. Short Chain Fatty Acid Metabolism in Relation to Gut Microbiota and Genetic Variability. Nutrients 2022;14. [PMID: 36558520 DOI: 10.3390/nu14245361] [Reference Citation Analysis]
20 Jamshidi J, Park HRP, Montalto A, Fullerton JM, Gatt JM. Wellbeing and brain structure: A comprehensive phenotypic and genetic study of image-derived phenotypes in the UK Biobank. Hum Brain Mapp 2022;43:5180-93. [PMID: 35765890 DOI: 10.1002/hbm.25993] [Reference Citation Analysis]
21 Mohammadi-Nejad AR, Allen RJ, Kraven LM, Leavy OC, Jenkins RG, Wain LV, Auer DP, Sotiropoulos SN; DEMISTIFI Consortium. Mapping brain endophenotypes associated with idiopathic pulmonary fibrosis genetic risk. EBioMedicine 2022;86:104356. [PMID: 36413936 DOI: 10.1016/j.ebiom.2022.104356] [Reference Citation Analysis]
22 Seidlitz J, Mallard TT, Vogel JW, Lee YH, Warrier V, Ball G, Hansson O, Hernandez LM, Mandal AS, Wagstyl K, Lombardo MV, Courchesne E, Glessner JT, Satterthwaite TD, Bethlehem RA, Tasaki S, Ng B, Gaiteri C, Smoller JW, Ge T, Gandal MJ, Alexander-bloch AF, Lifespan Brain Chart Consortium. The molecular genetic landscape of human brain size variation.. [DOI: 10.1101/2022.11.03.514996] [Reference Citation Analysis]
23 Xu J, Xia X, Li Q, Dou Y, Suo X, Sun Z, Liu N, Han Y, Sun X, He Y, Qin W, Zhang S, Banaschewski T, Flor H, Grigis A, Gowland P, Heinz A, Brühl R, Martinot JL, Artiges E, Nees F, Paus T, Poustka L, Hohmann S, Walter H, Sham PC, Schumann G, Wu X, Li MJ, Yu C; Alzheimer’s Disease Neuroimaging Initiative, IMAGEN Consortia. A causal association of ANKRD37 with human hippocampal volume. Mol Psychiatry 2022;27:4432-45. [PMID: 36195640 DOI: 10.1038/s41380-022-01800-7] [Reference Citation Analysis]
24 Doust C, Fontanillas P, Eising E, Gordon SD, Wang Z, Alagöz G, Molz B, Pourcain BS, Francks C, Marioni RE, Zhao J, Paracchini S, Talcott JB, Monaco AP, Stein JF, Gruen JR, Olson RK, Willcutt EG, DeFries JC, Pennington BF, Smith SD, Wright MJ, Martin NG, Auton A, Bates TC, Fisher SE, Luciano M; 23andMe Research Team, Quantitative Trait Working Group of the GenLang Consortium. Discovery of 42 genome-wide significant loci associated with dyslexia. Nat Genet 2022;54:1621-9. [PMID: 36266505 DOI: 10.1038/s41588-022-01192-y] [Cited by in Crossref: 9] [Cited by in F6Publishing: 5] [Article Influence: 9.0] [Reference Citation Analysis]
25 Kjelkenes R, Wolfers T, Alnæs D, Norbom LB, Voldsbekk I, Holm M, Dahl A, Berthet P, Tamnes CK, Marquand AF, Westlye LT. Deviations from normative brain white and gray matter structure are associated with psychopathology in youth. Dev Cogn Neurosci 2022;58:101173. [PMID: 36332329 DOI: 10.1016/j.dcn.2022.101173] [Reference Citation Analysis]
26 Guo J, Yu K, Dong SS, Yao S, Rong Y, Wu H, Zhang K, Jiang F, Chen YX, Guo Y, Yang TL. Mendelian randomization analyses support causal relationships between brain imaging-derived phenotypes and risk of psychiatric disorders. Nat Neurosci 2022;25:1519-27. [PMID: 36216997 DOI: 10.1038/s41593-022-01174-7] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
27 Carrión-castillo A, Boeckx C. The genetic architecture of cerebellar lobules: Insights from the UK Biobank.. [DOI: 10.1101/2022.10.21.513204] [Reference Citation Analysis]
28 Diaz-torres S, Ogonowski N, García-marín LM, Bonham LW, Duran-aniotz C, Yokoyama JS, Rentería ME. Genetic overlap between cortical brain morphometry and frontotemporal dementia risk.. [DOI: 10.21203/rs.3.rs-2158031/v1] [Reference Citation Analysis]
29 van der Meer D, Kaufmann T. Mapping the genetic architecture of cortical morphology through neuroimaging: progress and perspectives. Transl Psychiatry 2022;12:447. [PMID: 36241627 DOI: 10.1038/s41398-022-02193-5] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
30 Alagöz G, Molz B, Eising E, Schijven D, Francks C, Stein JL, Fisher SE. Using neuroimaging genomics to investigate the evolution of human brain structure. Proc Natl Acad Sci U S A 2022;119:e2200638119. [PMID: 36161899 DOI: 10.1073/pnas.2200638119] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
31 Zhao B, Li T, Yang X, Shu J, Wang X, Luo T, Yang Y, Wu Z, Fan Z, Jiang Z, Chen J, Shan Y, Tang J, Xiong D, Zhu Z, Gao M, Guan W, Tomlinson CE, Dong Q, Li Y, Stein JL, Wang Y, Zhu H. Genetic influences on the shape of brain ventricular and subcortical structures.. [DOI: 10.1101/2022.09.26.22279691] [Reference Citation Analysis]
32 Yu C, Fu J, Zhang Q, Wang J, Wang M, Zhang B, Zhu W, Qiu S, Geng Z, Cui G, Yu Y, Liao W, Zhang H, Gao B, Xu X, Han T, Yao Z, Qin W, Liu F, Liang M, Wang S, Xu Q, Xu J, Zhang P, Li W, Shi D, Wang C, Lui S, Yan Z, Chen F, Zhang J, Li J, Shen W, Miao Y, Wang D, Xian J, Gao J, Zhang X, Xu K, Zuo X, Zhang LJ, Ye Z, Chen J, Li MJ. Trans-ancestral genome-wide association studies of brain imaging phenotypes.. [DOI: 10.21203/rs.3.rs-2047527/v1] [Reference Citation Analysis]
33 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]
34 Fan Z, Li Y, Shu J, Yang X, Li B, Lin J, Wang Q, Paschou P, Li T, Zhu H, Zhao B. Mapping sleep’s phenotypic and genetic links to the brain and heart: a systematic analysis of multimodal brain and cardiac images in the UK Biobank.. [DOI: 10.1101/2022.09.08.22279719] [Reference Citation Analysis]
35 Warrier V, Stauffer E, Huang QQ, Wigdor EM, Slob EA, Seidlitz J, Ronan L, Valk S, Mallard TT, Grotzinger AD, Romero-garcia R, Baron-cohen S, Geschwind DH, Lancaster M, Murray GK, Gandal MJ, Alexander-bloch A, Won H, Martin HC, Bullmore ET, Bethlehem RA. The genetics of cortical organisation and development: a study of 2,347 neuroimaging phenotypes.. [DOI: 10.1101/2022.09.08.507084] [Cited by in F6Publishing: 2] [Reference Citation Analysis]
36 Bell S, Tozer DJ, Markus HS. Genome-wide association study of the human brain functional connectome reveals strong vascular component underlying global network efficiency. Sci Rep 2022;12:14938. [PMID: 36056064 DOI: 10.1038/s41598-022-19106-7] [Reference Citation Analysis]
37 Eising E, Mirza-Schreiber N, de Zeeuw EL, Wang CA, Truong DT, Allegrini AG, Shapland CY, Zhu G, Wigg KG, Gerritse ML, Molz B, Alagöz G, Gialluisi A, Abbondanza F, Rimfeld K, van Donkelaar M, Liao Z, Jansen PR, Andlauer TFM, Bates TC, Bernard M, Blokland K, Bonte M, Børglum AD, Bourgeron T, Brandeis D, Ceroni F, Csépe V, Dale PS, de Jong PF, DeFries JC, Démonet JF, Demontis D, Feng Y, Gordon SD, Guger SL, Hayiou-Thomas ME, Hernández-Cabrera JA, Hottenga JJ, Hulme C, Kere J, Kerr EN, Koomar T, Landerl K, Leonard GT, Lovett MW, Lyytinen H, Martin NG, Martinelli A, Maurer U, Michaelson JJ, Moll K, Monaco AP, Morgan AT, Nöthen MM, Pausova Z, Pennell CE, Pennington BF, Price KM, Rajagopal VM, Ramus F, Richer L, Simpson NH, Smith SD, Snowling MJ, Stein J, Strug LJ, Talcott JB, Tiemeier H, van der Schroeff MP, Verhoef E, Watkins KE, Wilkinson M, Wright MJ, Barr CL, Boomsma DI, Carreiras M, Franken MJ, Gruen JR, Luciano M, Müller-Myhsok B, Newbury DF, Olson RK, Paracchini S, Paus T, Plomin R, Reilly S, Schulte-Körne G, Tomblin JB, van Bergen E, Whitehouse AJO, Willcutt EG, St Pourcain B, Francks C, Fisher SE. Genome-wide analyses of individual differences in quantitatively assessed reading- and language-related skills in up to 34,000 people. Proc Natl Acad Sci U S A 2022;119:e2202764119. [PMID: 35998220 DOI: 10.1073/pnas.2202764119] [Cited by in Crossref: 11] [Cited by in F6Publishing: 10] [Article Influence: 11.0] [Reference Citation Analysis]
38 Qi S, Sui J, Pearlson G, Bustillo J, Perrone-Bizzozero NI, Kochunov P, Turner JA, Fu Z, Shao W, Jiang R, Yang X, Liu J, Du Y, Chen J, Zhang D, Calhoun VD. Derivation and utility of schizophrenia polygenic risk associated multimodal MRI frontotemporal network. Nat Commun 2022;13:4929. [PMID: 35995794 DOI: 10.1038/s41467-022-32513-8] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
39 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 Genom 2022;2:100167. [PMID: 36779085 DOI: 10.1016/j.xgen.2022.100167] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
40 Makowski C, Wang H, Chen CH. Clinical opportunity awaits at the intersection of genomics and brain imaging. J Psychiatry Neurosci 2022;47:E293-8. [PMID: 35948342 DOI: 10.1503/jpn.220075] [Reference Citation Analysis]
41 Neumann A, Ohlei O, Küçükali F, Bos IJ, Vos S, Prokopenko D, Tijms BM, Andreasson U, Blennow K, Vandenberghe R, Scheltens P, Teunissen CE, Engelborghs S, Frisoni GB, Blin O, Richardson JC, Bordet R, Lleó A, Alcolea D, Popp J, Clark C, Peyratout G, Martinez-lage P, Tainta M, Dobson RJ, Legido-quigley C, Van Broeckhoven C, Tanzi RE, ten Kate M, Lill CM, Barkhof F, Lovestone S, Streffer J, Zetterberg H, Visser PJ, Sleegers K, Bertram L, EMIF-AD & ADNI study group. Multivariate GWAS of Alzheimer’s disease CSF biomarker profiles implies GRIN2D in synaptic functioning.. [DOI: 10.1101/2022.08.02.22278185] [Reference Citation Analysis]
42 Zhang Z, Meng P, Zhang H, Jia Y, Wen Y, Zhang J, Chen Y, Li C, Pan C, Cheng S, Yang X, Yao Y, Liu L, Zhang F. Brain Proteome-Wide Association Study Identifies Candidate Genes that Regulate Protein Abundance Associated with Post-Traumatic Stress Disorder. Genes (Basel) 2022;13:1341. [PMID: 35893077 DOI: 10.3390/genes13081341] [Reference Citation Analysis]
43 Tissink E, de Lange SC, Savage JE, Wightman DP, de Leeuw CA, Kelly KM, Nagel M, van den Heuvel MP, Posthuma D. Genome-wide association study of cerebellar volume provides insights into heritable mechanisms underlying brain development and mental health. Commun Biol 2022;5:710. [PMID: 35842455 DOI: 10.1038/s42003-022-03672-7] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
44 Soheili-nezhad S, Beckmann CF, Sprooten E. Reproducibility of Principal and Independent Genomic Components of Brain Structure and Function.. [DOI: 10.1101/2022.07.13.499912] [Reference Citation Analysis]
45 Hansell NK, Strike LT, van Eijk L, O'Callaghan V, Martin NG, de Zubicaray GI, Thompson PM, McMahon KL, Wright MJ. Genetic Specificity of Hippocampal Subfield Volumes, Relative to Hippocampal Formation, Identified in 2148 Young Adult Twins and Siblings. Twin Res Hum Genet 2022;:1-11. [PMID: 35791873 DOI: 10.1017/thg.2022.20] [Reference Citation Analysis]
46 Topiwala A, Wang C, Ebmeier KP, Burgess S, Bell S, Levey DF, Zhou H, McCracken C, Roca-Fernández A, Petersen SE, Raman B, Husain M, Gelernter J, Miller KL, Smith SM, Nichols TE. Associations between moderate alcohol consumption, brain iron, and cognition in UK Biobank participants: Observational and mendelian randomization analyses. PLoS Med 2022;19:e1004039. [PMID: 35834561 DOI: 10.1371/journal.pmed.1004039] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 6.0] [Reference Citation Analysis]
47 van der Es T, Sprooten E, Soheili-nezhad S, Damatac CG, Franke B, Buitelaar J, Mota NR. Exploring Polygenic Neuroimaging Derived Scores in a Longitudinal Attention-deficit/hyperactivity disorder Sample.. [DOI: 10.1101/2022.06.16.22276110] [Reference Citation Analysis]
48 Taschler B, Smith SM, Nichols TE. Causal inference on neuroimaging data with Mendelian randomisation. Neuroimage 2022;258:119385. [PMID: 35714886 DOI: 10.1016/j.neuroimage.2022.119385] [Reference Citation Analysis]
49 Wagstyl K, Adler S, Seidlitz J, Vandekar S, Mallard TT, Dear R, Decasien AR, Satterthwaite TD, Liu S, Vértes PE, Shinohara RT, Alexander-bloch A, Geschwind DH, Raznahan A. Transcriptional Cartography Integrates Multiscale Biology of the Human Cortex.. [DOI: 10.1101/2022.06.13.495984] [Cited by in Crossref: 2] [Cited by in F6Publishing: 4] [Article Influence: 2.0] [Reference Citation Analysis]
50 Wang C, Martins-Bach AB, Alfaro-Almagro F, Douaud G, Klein JC, Llera A, Fiscone C, Bowtell R, Elliott LT, Smith SM, Tendler BC, Miller KL. Phenotypic and genetic associations of quantitative magnetic susceptibility in UK Biobank brain imaging. Nat Neurosci 2022;25:818-31. [PMID: 35606419 DOI: 10.1038/s41593-022-01074-w] [Cited by in Crossref: 7] [Cited by in F6Publishing: 2] [Article Influence: 7.0] [Reference Citation Analysis]
51 Tissink E, Werme J, de Lange S, Savage J, Wei Y, de Leeuw C, Nagel M, Posthuma D, van den Heuvel M. Specificity and overlap in the genetic architectures of functional and structural connectivity within cerebral resting-state networks.. [DOI: 10.1101/2022.05.31.494125] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
52 Makowski C, Wang H, Srinivasan A, Qi A, Qiu Y, van der Meer D, Frei O, Zou J, Visscher PM, Yang J, Chen C. Larger cerebral cortex is genetically correlated with greater frontal area and dorsal thickness.. [DOI: 10.1101/2022.05.19.492686] [Reference Citation Analysis]
53 May-Wilson S, Matoba N, Wade KH, Hottenga JJ, Concas MP, Mangino M, Grzeszkowiak EJ, Menni C, Gasparini P, Timpson NJ, Veldhuizen MG, de Geus E, Wilson JF, Pirastu N. Large-scale GWAS of food liking reveals genetic determinants and genetic correlations with distinct neurophysiological traits. Nat Commun 2022;13:2743. [PMID: 35585065 DOI: 10.1038/s41467-022-30187-w] [Cited by in F6Publishing: 3] [Reference Citation Analysis]
54 Canli T. 25 Years of Molecular Psychology: The best is yet to come. Mol Psychol 2022;1:1. [DOI: 10.12688/molpsychol.17419.1] [Reference Citation Analysis]
55 Sha Z, Schijven D, Fisher SE, Francks C. Genetic architecture of the white matter connectome of the human brain.. [DOI: 10.1101/2022.05.10.491289] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
56 Douaud G, Lee S, Alfaro-almagro F, Arthofer C, Wang C, Mccarthy P, Lange F, Andersson JLR, Griffanti L, Duff E, Jbabdi S, Taschler B, Keating P, Winkler AM, Collins R, Matthews PM, Allen N, Miller KL, Nichols TE, Smith SM. SARS-CoV-2 is associated with changes in brain structure in UK Biobank. Nature 2022;604:697-707. [DOI: 10.1038/s41586-022-04569-5] [Cited by in Crossref: 287] [Cited by in F6Publishing: 1] [Article Influence: 287.0] [Reference Citation Analysis]
57 Aygün N, Liang D, Crouse WL, Keele GR, Love MI, Stein JL. Inferring cell-type-specific causal gene regulatory networks during human neurogenesis.. [DOI: 10.1101/2022.04.25.488920] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
58 Zhao L, Matloff W, Shi Y, Cabeen RP, Toga AW. Mapping Complex Brain Torque Components and Their Genetic Architecture and Phenomic Associations in 24,112 Individuals. Biol Psychiatry 2022;91:753-68. [PMID: 35027165 DOI: 10.1016/j.biopsych.2021.11.002] [Cited by in Crossref: 5] [Cited by in F6Publishing: 6] [Article Influence: 5.0] [Reference Citation Analysis]
59 Zhao B, Li T, Smith SM, Xiong D, Wang X, Yang Y, Luo T, Zhu Z, Shan Y, Matoba N, Sun Q, Yang Y, Hauberg ME, Bendl J, Fullard JF, Roussos P, Lin W, Li Y, Stein JL, Zhu H. Common variants contribute to intrinsic human brain functional networks. Nat Genet 2022. [PMID: 35393594 DOI: 10.1038/s41588-022-01039-6] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
60 Li B, Wei Y, Zhang K, Schönlieb C, Rudd J, Li C. Cerebrovascular risk factors impact brain phenotypes and cognitive function in healthy population.. [DOI: 10.1101/2022.03.29.22273047] [Reference Citation Analysis]
61 Zhu D, Wang C, Guo L, Si D, Liu M, Cai M, Ma L, Fu D, Fu J, Wang J, Liu F. Total Brain Volumetric Measures and Schizophrenia Risk: A Two-Sample Mendelian Randomization Study. Front Genet 2022;13:782476. [DOI: 10.3389/fgene.2022.782476] [Reference Citation Analysis]
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