| Amariuta, T et al., Nat Genet, 2020, Improving the trans-ancestry portability of polygenic risk scores by prioritizing variants in predicted cell-type-specific regulatory elements |
33257898 |
10.1038/s41588-020-00740-8 |
Cited
|
| American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 4th edn. Washington, DC:1994. |
— |
— |
—
|
| American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th edn. Washington, DC:2013. |
— |
— |
—
|
| Bierut, LJ et al., P Natl Acad Sci USA, 2010, A genome-wide association study of alcohol dependence |
20202923 |
10.1073/pnas.0911109107 |
Primary
|
| Bitarello BD, Mathieson I. Polygenic scores for height in admixed populations. G3. 2020;10:4027–36.10.1534/g3.120.401658PMC764295032878958 |
— |
— |
—
|
| Bucholz, KK et al., J Stud Alcohol, 1994, A new, semi-structured psychiatric interview for use in genetic linkage studies: a report on the reliability of the SSAGA |
8189735 |
10.15288/jsa.1994.55.149 |
Primary
|
| Buniello, A et al., Nucleic Acids Res, 2019, The NHGRI-EBI GWAS Catalog of published genome-wide association studies, targeted arrays and summary statistics 2019 |
30445434 |
10.1093/nar/gky1120 |
Cited
|
| Cai, M et al., Am J Hum Genet, 2021, A unified framework for cross-population trait prediction by leveraging the genetic correlation of polygenic traits |
33770506 |
10.1016/j.ajhg.2021.03.002 |
Cited
|
| Cavazos, TB et al., Hum Genet Genomics Adv, 2021, Inclusion of variants discovered from diverse populations improves polygenic risk score transferability |
33564748 |
10.1016/j.xhgg.2020.100017 |
Cited
|
| Chang, CC et al., Gigascience, 2015, Second-generation PLINK: rising to the challenge of larger and richer datasets |
25722852 |
10.1186/s13742-015-0047-8 |
Cited
|
| Das, S et al., Nat Genet, 2016, Next-generation genotype imputation service and methods |
27571263 |
10.1038/ng.3656 |
Cited
|
| Dawson, DA et al., Alcohol Clin Exp Res, 1992, Family history as a predictor of alcohol dependence |
1626658 |
10.1111/j.1530-0277.1992.tb01419.x |
Cited
|
| Delaneau, O et al., Am J Hum Genet, 2013, Haplotype estimation using sequencing reads |
24094745 |
10.1016/j.ajhg.2013.09.002 |
Cited
|
| Gelernter, J et al., Mol Psychiatr, 2014, Genome-wide association study of alcohol dependence: significant findings in African-and European-Americans including novel risk loci |
24166409 |
10.1038/mp.2013.145 |
Primary
|
| Grinde, KE et al., Genet Epidemiol, 2019, Generalizing polygenic risk scores from Europeans to Hispanics/Latinos |
30368908 |
10.1002/gepi.22166 |
Cited
|
| Heath, AC et al., Ann NY Acad Sci, 1994, Genetic influences on alcohol-consumption patterns and problem drinking - results from the Australian Nh-and-Mrc Twin Panel Follow-up Survey |
8154691 |
10.1111/j.1749-6632.1994.tb24699.x |
Cited
|
| Hesselbrock, M et al., Addiction., 1999, A validity study of the SSAGA—a comparison with the SCAN |
10615721 |
10.1046/j.1360-0443.1999.94913618.x |
Primary
|
| Hu, Y et al., PLoS Comput Biol, 2017, Leveraging functional annotations in genetic risk prediction for human complex diseases |
28594818 |
10.1371/journal.pcbi.1005589 |
Cited
|
| Huber, W et al., Nat Methods, 2015, Orchestrating high-throughput genomic analysis with bioconductor |
25633503 |
10.1038/nmeth.3252 |
Cited
|
| Kapoor, M et al., Nat Commun, 2021, Multi-omics integration analysis identifies novel genes for alcoholism with potential overlap with neurodegenerative diseases |
34417470 |
10.1038/s41467-021-25392-y |
Primary
|
| Karriker-Jaffe, KJ et al., Addict Behav, 2021, Intersection of familial risk and environmental social control on high-risk drinking and alcohol dependence in a US national sample of adults |
33045642 |
10.1016/j.addbeh.2020.106668 |
Cited
|
| King, EA et al., PLoS Genet, 2019, Are drug targets with genetic support twice as likely to be approved? Revised estimates of the impact of genetic support for drug mechanisms on the probability of drug approval |
31830040 |
10.1371/journal.pgen.1008489 |
Cited
|
| Koob, GF et al., Lancet Psychiatry, 2016, Neurobiology of addiction: a neurocircuitry analysis |
27475769 |
10.1016/S2215-0366(16)00104-8 |
Cited
|
| Kranzler, HR et al., Nat Commun, 2019, Genome-wide association study of alcohol consumption and use disorder in 274,424 individuals from multiple populations |
30940813 |
10.1038/s41467-019-09480-8 |
Primary
|
| Lai D, Wetherill L, Kapoor M, Johnson EC, Schwandt M, Ramchandani VA, et al. Genome-wide association studies of the self-rating of effects of ethanol (SRE). Addict Biol. 2019:e12800.10.1111/adb.12800PMC694055231270906 |
— |
— |
—
|
| Lai, D et al., Alcohol Clin Exp Res, 2022, Evaluating risk for alcohol use disorder: Polygenic risk scores and family history |
35267208 |
10.1111/acer.14772 |
Primary
|
| Lai, D et al., Am J Med Genet B Neuropsychiatr Genet, 2021, Genome-wide admixture mapping of DSM-IV alcohol dependence, criterion count, and the self-rating of the effects of ethanol in African American populations |
32652861 |
10.1002/ajmg.b.32805 |
Primary
|
| Lai, D et al., Genes Brain Behav, 2019, Genome-wide association studies of alcohol dependence, DSM-IV criterion count and individual criteria |
31090166 |
10.1111/gbb.12579 |
Primary
|
| Liang Y, Pividori M, Manichaikul A, Palmer AA, Cox NJ, Wheeler H, et al. Polygenic transcriptome risk scores improve portability of polygenic risk scores across ancestries. bioRxiv. 2020:2020.11.12.373647.10.1186/s13059-021-02591-wPMC875928535027082 |
— |
— |
—
|
| Lonsdale, J et al., Nat Genet, 2013, The genotype-tissue expression (GTEx) project |
23715323 |
10.1038/ng.2653 |
Cited
|
| Marnetto, D et al., Nat Commun, 2020, Ancestry deconvolution and partial polygenic score can improve susceptibility predictions in recently admixed individuals |
32242022 |
10.1038/s41467-020-15464-w |
Cited
|
| Martin, AR et al., Am J Hum Genet, 2017, Human demographic history impacts genetic risk prediction across diverse populations |
28366442 |
10.1016/j.ajhg.2017.03.004 |
Cited
|
| Mi, H et al., Nat Protoc, 2013, Large-scale gene function analysis with the PANTHER classification system |
23868073 |
10.1038/nprot.2013.092 |
Cited
|
| Márquez-Luna, C et al., Genet Epidemiol, 2017, Multiethnic polygenic risk scores improve risk prediction in diverse populations |
29110330 |
10.1002/gepi.22083 |
Cited
|
| Nelson, MR et al., Nat Genet, 2015, The support of human genetic evidence for approved drug indications |
26121088 |
10.1038/ng.3314 |
Cited
|
| Nurnberger, JI et al., Arch Gen Psychiatry, 2004, A family study of alcohol dependence: coaggregation of multiple disorders in relatives of alcohol-dependent probands |
15583116 |
10.1001/archpsyc.61.12.1246 |
Primary
|
| Prescott, CA et al., Am J Psychiatry, 1999, Genetic and environmental contributions to alcohol abuse and dependence in a population-based sample of male twins |
9892295 |
10.1176/ajp.156.1.34 |
Cited
|
| Price, AL et al., Nat Genet, 2006, Principal components analysis corrects for stratification in genome-wide association studies |
16862161 |
10.1038/ng1847 |
Cited
|
| Purcell, S et al., Am J Hum Genet, 2007, PLINK: a tool set for whole-genome association and population-based linkage analyses |
17701901 |
10.1086/519795 |
Cited
|
| Reich, T et al., Am J Med Genet, 1998, Genome-wide search for genes affecting the risk for alcohol dependence |
9603606 |
10.1002/(SICI)1096-8628(19980508)81:3<207::AID-AJMG1>3.0.CO;2-T |
Primary
|
| Ruan Y, Anne Feng Y-C, Chen C-Y, Lam M, Stanley Global Asia I, Sawa A, et al. Improving polygenic prediction in ancestrally diverse populations. Nat Genet. 2022;54:573–80.10.1038/s41588-022-01054-7PMC911745535513724 |
— |
— |
—
|
| Sanchez-Roige, S et al., Am J Psychiatry, 2019, Genome-wide association study meta-analysis of the alcohol use disorders identification test (AUDIT) in two population-based cohorts |
30336701 |
10.1176/appi.ajp.2018.18040369 |
Cited
|
| Schultz LM, Merikangas AK, Ruparel K, Jacquemont S, Glahn DC, Gur RE, et al. Stability of polygenic scores across discovery genome-wide association studies. HGG Adv. 2022;3:100091.10.1016/j.xhgg.2022.100091PMC884181035199043 |
— |
— |
—
|
| Schwantes-An, TH et al., Hepatology, 2021, Genome-wide association study and meta-analysis on alcohol-associated liver cirrhosis identifies genetic risk factors |
32853455 |
10.1002/hep.31535 |
Cited
|
| Shi, H et al., Am J Hum Genet, 2020, Localizing components of shared transethnic genetic architecture of complex traits from GWAS summary data |
32442408 |
10.1016/j.ajhg.2020.04.012 |
Cited
|
| Verhulst, B et al., Psychol Med, 2015, The heritability of alcohol use disorders: a meta-analysis of twin and adoption studies |
25171596 |
10.1017/S0033291714002165 |
Cited
|
| Walters, RK et al., Nat Neurosci, 2018, Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders |
30482948 |
10.1038/s41593-018-0275-1 |
Primary
|
| Wang, K et al., Nucleic Acids Res, 2010, ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data |
20601685 |
10.1093/nar/gkq603 |
Cited
|
| Wang, Q et al., Nature., 2021, Rare variant contribution to human disease in 281,104 UK Biobank exomes |
34375979 |
10.1038/s41586-021-03855-y |
Cited
|
| Wang, Y et al., Nat Commun, 2020, Theoretical and empirical quantification of the accuracy of polygenic scores in ancestry divergent populations |
32737319 |
10.1038/s41467-020-17719-y |
Cited
|
| Watanabe, K et al., Nat Commun, 2017, Functional mapping and annotation of genetic associations with FUMA |
29184056 |
10.1038/s41467-017-01261-5 |
Cited
|
| Weissbrod O, Kanai M, Shi H, Gazal S, Peyrot W, Khera A, et al. Leveraging fine-mapping and non-European training data to improve trans-ethnic polygenic risk scores. Nat Genet. 2022;54:450–8.10.1038/s41588-022-01036-9PMC900929935393596 |
— |
— |
—
|
| Weissbrod, O et al., Nat Genet, 2020, Functionally informed fine-mapping and polygenic localization of complex trait heritability |
33199916 |
10.1038/s41588-020-00735-5 |
Cited
|
| World Health Organization. Global status report on alcohol and health 2018: executive summary. Geneva: World Health Organization; 2018. |
— |
— |
—
|
| Zheng, X et al., Bioinformatics, 2012, A high-performance computing toolset for relatedness and principal component analysis of SNP data |
23060615 |
10.1093/bioinformatics/bts606 |
Cited
|
| Zhou, H et al., Nat Neurosci, 2020, Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits |
32451486 |
10.1038/s41593-020-0643-5 |
Primary
|
