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Multiethnic Meta-Analysis Identifies RAI1 as a Possible Obstructive Sleep Apnea-related Quantitative Trait Locus in Men.

Chen H, Cade BE, Gleason KJ, et al. Multiethnic Meta-Analysis Identifies RAI1 as a Possible Obstructive Sleep Apnea-related Quantitative Trait Locus in Men. Am J Respir Cell Mol Biol. 2018;58(3):391-401. doi:10.1165/rcmb.2017-0237OC

Genetic Evidence That Carbohydrate-Stimulated Insulin Secretion Leads to Obesity.

Astley CM, Todd JN, Salem RM, et al. Genetic Evidence That Carbohydrate-Stimulated Insulin Secretion Leads to Obesity. Clin Chem. 2018;64(1):192-200. doi:10.1373/clinchem.2017.280727

A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure.

Sung YJ, Winkler TW, Fuentes L de L, et al. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure. Am J Hum Genet. 2018;102(3):375-400. doi:10.1016/j.ajhg.2018.01.015

A Common Allele in FGF21 Associated with Sugar Intake Is Associated with Body Shape, Lower Total Body-Fat Percentage, and Higher Blood Pressure.

Frayling TM, Beaumont RN, Jones SE, et al. A Common Allele in FGF21 Associated with Sugar Intake Is Associated with Body Shape, Lower Total Body-Fat Percentage, and Higher Blood Pressure. Cell Rep. 2018;23(2):327-336. doi:10.1016/j.celrep.2018.03.070

Statistics for X-chromosome associations.

Özbek U, Lin HM, Lin Y, et al. Statistics for X-chromosome associations. Genet Epidemiol. 2018;42(6):539-550. doi:10.1002/gepi.22132

Integrating Gene Expression with Summary Association Statistics to Identify Genes Associated with 30 Complex Traits.

Mancuso N, Shi H, Goddard P, Kichaev G, Gusev A, Pasaniuc B. Integrating Gene Expression with Summary Association Statistics to Identify Genes Associated with 30 Complex Traits. Am J Hum Genet. 2017;100(3):473-487. doi:10.1016/j.ajhg.2017.01.031

Improved imputation accuracy of rare and low-frequency variants using population-specific high-coverage WGS-based imputation reference panel.

Mitt M, Kals M, Pärn K, et al. Improved imputation accuracy of rare and low-frequency variants using population-specific high-coverage WGS-based imputation reference panel. Eur J Hum Genet. 2017;25(7):869-876. doi:10.1038/ejhg.2017.51

Whole-Genome Sequencing Coupled to Imputation Discovers Genetic Signals for Anthropometric Traits.

Tachmazidou I, Süveges D, Min JL, et al. Whole-Genome Sequencing Coupled to Imputation Discovers Genetic Signals for Anthropometric Traits. Am J Hum Genet. 2017;100(6):865-884. doi:10.1016/j.ajhg.2017.04.014

Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs.

Cross-Disorder Group of the Psychiatric Genomics Consortium, Lee H, Ripke S, et al. Genetic relationship between five psychiatric disorders estimated from genome-wide SNPs. Nat Genet. 2013;45(9):984-94. doi:10.1038/ng.2711

Epigenome-wide association of PTSD from heterogeneous cohorts with a common multi-site analysis pipeline.

Ratanatharathorn A, Boks MP, Maihofer AX, et al. Epigenome-wide association of PTSD from heterogeneous cohorts with a common multi-site analysis pipeline. Am J Med Genet B Neuropsychiatr Genet. 2017;174(6):619-630. doi:10.1002/ajmg.b.32568