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An integrated map of genetic variation from 1,092 human genomes 1000 Genomes Project Consortium Nature 491 (7422), 56, 2012 | 8554 | 2012 |
Genome-wide association meta-analysis in 269,867 individuals identifies new genetic and functional links to intelligence JE Savage, PR Jansen, S Stringer, K Watanabe, J Bryois, CA De Leeuw, ... Nature genetics 50 (7), 912-919, 2018 | 1209 | 2018 |
Study of 300,486 individuals identifies 148 independent genetic loci influencing general cognitive function G Davies, M Lam, SE Harris, JW Trampush, M Luciano, WD Hill, ... Nature communications 9 (1), 2098, 2018 | 709 | 2018 |
Integrating sequence and array data to create an improved 1000 Genomes Project haplotype reference panel O Delaneau, J Marchini Nature communications 5 (1), 3934, 2014 | 464 | 2014 |
The 1000 Genomes Project: data management and community access L Clarke, X Zheng-Bradley, R Smith, E Kulesha, C Xiao, I Toneva, ... Nature methods 9 (5), 459-462, 2012 | 372 | 2012 |
An integrative variant analysis suite for whole exome next-generation sequencing data D Challis, J Yu, US Evani, AR Jackson, S Paithankar, C Coarfa, ... BMC bioinformatics 13, 1-12, 2012 | 327 | 2012 |
GWAS meta-analysis reveals novel loci and genetic correlates for general cognitive function: a report from the COGENT consortium JW Trampush, MLZ Yang, J Yu, E Knowles, G Davies, DC Liewald, ... Molecular psychiatry 22 (3), 336-345, 2017 | 305 | 2017 |
The functional spectrum of low-frequency coding variation GT Marth, F Yu, AR Indap, K Garimella, S Gravel, WF Leong, ... Genome biology 12, 1-17, 2011 | 244 | 2011 |
Schizophrenia polygenic risk score as a predictor of antipsychotic efficacy in first-episode psychosis JP Zhang, D Robinson, J Yu, J Gallego, WW Fleischhacker, RS Kahn, ... American Journal of Psychiatry 176 (1), 21-28, 2019 | 166 | 2019 |
Whole-genome sequence–based analysis of high-density lipoprotein cholesterol Nature genetics 45 (8), 899-901, 2013 | 149 | 2013 |
Large-scale cognitive GWAS meta-analysis reveals tissue-specific neural expression and potential nootropic drug targets M Lam, JW Trampush, J Yu, E Knowles, G Davies, DC Liewald, JM Starr, ... Cell reports 21 (9), 2597-2613, 2017 | 131 | 2017 |
Pleiotropic meta-analysis of cognition, education, and schizophrenia differentiates roles of early neurodevelopmental and adult synaptic pathways M Lam, WD Hill, JW Trampush, J Yu, E Knowles, G Davies, E Stahl, ... The American Journal of Human Genetics 105 (2), 334-350, 2019 | 111 | 2019 |
An integrative variant analysis pipeline for accurate genotype/haplotype inference in population NGS data Y Wang, J Lu, J Yu, RA Gibbs, F Yu Genome research 23 (5), 833-842, 2013 | 107 | 2013 |
Association of a Schizophrenia Risk Variant at the DRD2 Locus With Antipsychotic Treatment Response in First-Episode Psychosis JP Zhang, DG Robinson, JA Gallego, M John, J Yu, J Addington, M Tohen, ... Schizophrenia bulletin 41 (6), 1248-1255, 2015 | 89 | 2015 |
Next‐generation sequencing study finds an excess of rare, coding single‐nucleotide variants of ADAMTS13 in patients with deep vein thrombosis LA Lotta, G Tuana, J Yu, I Martinelli, M Wang, F Yu, SM Passamonti, ... Journal of Thrombosis and Haemostasis 11 (7), 1228-1239, 2013 | 64 | 2013 |
Atlas2 Cloud: a framework for personal genome analysis in the cloud US Evani, D Challis, J Yu, AR Jackson, S Paithankar, MN Bainbridge, ... BMC genomics 13, 1-9, 2012 | 51 | 2012 |
Identification of genetic risk variants for deep vein thrombosis by multiplexed next-generation sequencing of 186 hemostatic/pro-inflammatory genes LA Lotta, M Wang, J Yu, I Martinelli, F Yu, SM Passamonti, D Consonni, ... BMC Medical Genomics 5, 1-12, 2012 | 42 | 2012 |
Expanded genetic screening panel for the Ashkenazi Jewish population B Baskovich, S Hiraki, K Upadhyay, P Meyer, S Carmi, N Barzilai, ... Genetics in Medicine 18 (5), 522-528, 2016 | 39 | 2016 |