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Max Lam
Max Lam
The Broad Institute
在 broadinstitute.org 的电子邮件经过验证
标题
引用次数
引用次数
年份
Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals
JJ Lee, R Wedow, A Okbay, E Kong, O Maghzian, M Zacher, ...
Nature genetics 50 (8), 1112-1121, 2018
17082018
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
9492018
Mapping genomic loci implicates genes and synaptic biology in schizophrenia
V Trubetskoy, AF Pardiñas, T Qi, G Panagiotaropoulou, S Awasthi, ...
Nature 604 (7906), 502-508, 2022
6932022
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
5502018
The genetic architecture of the human cerebral cortex
KL Grasby, N Jahanshad, JN Painter, L Colodro-Conde, J Bralten, ...
Science 367 (6484), eaay6690, 2020
4722020
Comparative genetic architectures of schizophrenia in East Asian and European populations
M Lam, CY Chen, Z Li, AR Martin, J Bryois, X Ma, H Gaspar, M Ikeda, ...
Nature genetics 51 (12), 1670-1678, 2019
4432019
Genome-wide association studies in ancestrally diverse populations: opportunities, methods, pitfalls, and recommendations
RE Peterson, K Kuchenbaecker, RK Walters, CY Chen, AB Popejoy, ...
Cell 179 (3), 589-603, 2019
4262019
RICOPILI: rapid imputation for COnsortias PIpeLIne
M Lam, S Awasthi, HJ Watson, J Goldstein, G Panagiotaropoulou, ...
Bioinformatics 36 (3), 930-933, 2020
2252020
Improving polygenic prediction in ancestrally diverse populations
Y Ruan, YF Lin, YCA Feng, CY Chen, M Lam, Z Guo, L He, A Sawa, ...
Nature genetics 54 (5), 573-580, 2022
1972022
Gene discovery and polygenic prediction from a 1.1-million-person GWAS of educational attainment
JJ Lee, R Wedow, A Okbay, E Kong, O Maghzian, M Zacher, ...
Nature genetics 50 (8), 1112, 2018
1492018
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
1152017
Identification of genetic loci jointly influencing schizophrenia risk and the cognitive traits of verbal-numerical reasoning, reaction time, and general cognitive function
OB Smeland, O Frei, K Kauppi, WD Hill, W Li, Y Wang, F Krull, F Bettella, ...
JAMA psychiatry 74 (10), 1065-1075, 2017
1112017
Impact of psychiatric comorbidity in individuals at Ultra High Risk of psychosis—Findings from the Longitudinal Youth at Risk Study (LYRIKS)
J Lim, G Rekhi, A Rapisarda, M Lam, M Kraus, RSE Keefe, J Lee
Schizophrenia research 164 (1-3), 8-14, 2015
1112015
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
902019
Screening human embryos for polygenic traits has limited utility
E Karavani, O Zuk, D Zeevi, N Barzilai, NC Stefanis, A Hatzimanolis, ...
Cell 179 (6), 1424-1435. e8, 2019
892019
Heritability of neuropsychological measures in schizophrenia and nonpsychiatric populations: a systematic review and meta-analysis
GAM Blokland, RI Mesholam-Gately, T Toulopoulou, EC Del Re, M Lam, ...
Schizophrenia bulletin 43 (4), 788-800, 2017
852017
Body mass index, obesity, and psychopathology in patients with schizophrenia
M Subramaniam, M Lam, ME Guo, VYF He, J Lee, S Verma, SA Chong
Journal of clinical psychopharmacology 34 (1), 40-46, 2014
722014
Longitudinal cognitive changes in young individuals at ultrahigh risk for psychosis
M Lam, J Lee, A Rapisarda, YM See, Z Yang, SA Lee, NA Abdul-Rashid, ...
JAMA psychiatry 75 (9), 929-939, 2018
662018
Montreal Cognitive Assessment as a screening instrument for cognitive impairments in schizophrenia
Z Yang, NAA Rashid, YF Quek, M Lam, YM See, Y Maniam, J Dauwels, ...
Schizophrenia research 199, 58-63, 2018
552018
Formulation of the age–education index: Measuring age and education effects in neuropsychological performance.
M Lam, GK Eng, A Rapisarda, M Subramaniam, M Kraus, RSE Keefe, ...
Psychological assessment 25 (1), 61, 2013
532013
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