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Publications

Genome-wide association analyses identify new risk variants and the genetic architecture of amyotrophic lateral sclerosis.

Van Rheenen W, Shatunov A, Dekker AM, et al. Genome-wide association analyses identify new risk variants and the genetic architecture of amyotrophic lateral sclerosis. Nat Genet. 2016;48(9):1043-8. doi:10.1038/ng.3622

Relations of Arterial Stiffness and Brachial Flow-Mediated Dilation With New-Onset Atrial Fibrillation: The Framingham Heart Study.

Shaikh AY, Wang N, Yin X, et al. Relations of Arterial Stiffness and Brachial Flow-Mediated Dilation With New-Onset Atrial Fibrillation: The Framingham Heart Study. Hypertension. 2016;68(3):590-6. doi:10.1161/HYPERTENSIONAHA.116.07650

Biomaterials for Abrogating Metastasis: Bridging the Gap between Basic and Translational Research.

Conde J, Shomron N, Artzi N. Biomaterials for Abrogating Metastasis: Bridging the Gap between Basic and Translational Research. Adv Healthc Mater. 2016;5(18):2312-9. doi:10.1002/adhm.201600414

Genetic risk of extranodal natural killer T-cell lymphoma: a genome-wide association study.

Li Z, Xia Y, Feng LN, et al. Genetic risk of extranodal natural killer T-cell lymphoma: a genome-wide association study. Lancet Oncol. 2016;17(9):1240-7. doi:10.1016/S1470-2045(16)30148-6

Fine-Scale Human Population Structure in Southern Africa Reflects Ecogeographic Boundaries.

Uren C, Kim M, Martin AR, et al. Fine-Scale Human Population Structure in Southern Africa Reflects Ecogeographic Boundaries. Genetics. 2016;204(1):303-14. doi:10.1534/genetics.116.187369

Revealing disease-associated pathways by network integration of untargeted metabolomics.

Pirhaji L, Milani P, Leidl M, et al. Revealing disease-associated pathways by network integration of untargeted metabolomics. Nat Methods. 2016;13(9):770-6. doi:10.1038/nmeth.3940

Virtual microfluidics for digital quantification and single-cell sequencing.

Xu L, Brito IL, Alm EJ, Blainey PC. Virtual microfluidics for digital quantification and single-cell sequencing. Nat Methods. 2016;13(9):759-62. doi:10.1038/nmeth.3955

Meta-analysis of the DRD5 VNTR in persistent ADHD.

Klein M, Berger S, Hoogman M, et al. Meta-analysis of the DRD5 VNTR in persistent ADHD. Eur Neuropsychopharmacol. 2016;26(9):1527-32. doi:10.1016/j.euroneuro.2016.06.012

Variation in the glucose transporter gene SLC2A2 is associated with glycemic response to metformin.

Zhou K, Yee SW, Seiser EL, et al. Variation in the glucose transporter gene SLC2A2 is associated with glycemic response to metformin. Nat Genet. 2016;48(9):1055-9. doi:10.1038/ng.3632

CRISPR/Cas9 gene editing special issue.

Doench JG. CRISPR/Cas9 gene editing special issue. FEBS J. 2016;283(17):3160-1. doi:10.1111/febs.13823