| Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight LK Küpers, C Monnereau, GC Sharp, P Yousefi, LA Salas, A Ghantous, ... Nature communications 10 (1), 1-11, 2019 | 166 | 2019 |
| Maternal gestational diabetes mellitus and newborn DNA methylation: findings from the pregnancy and childhood epigenetics consortium CG Howe, B Cox, R Fore, J Jungius, T Kvist, S Lent, HE Miles, LA Salas, ... Diabetes Care 43 (1), 98-105, 2020 | 118 | 2020 |
| An integrative cross-omics analysis of DNA methylation sites of glucose and insulin homeostasis J Liu, E Carnero-Montoro, J van Dongen, S Lent, I Nedeljkovic, S Ligthart, ... Nature communications 10 (1), 1-11, 2019 | 71 | 2019 |
| Comprehensive analysis of schizophrenia-associated loci highlights ion channel pathways and biologically plausible candidate causal genes TH Pers, P Timshel, S Ripke, S Lent, PF Sullivan, MC O'Donovan, ... Human molecular genetics 25 (6), 1247-1254, 2016 | 71 | 2016 |
| DNA methylation and body mass index from birth to adolescence: meta-analyses of epigenome-wide association studies FOL Vehmeijer, LK Küpers, GC Sharp, LA Salas, S Lent, DD Jima, ... Genome medicine 12 (1), 1-15, 2020 | 52 | 2020 |
| The SEQC2 epigenomics quality control (EpiQC) study J Foox, J Nordlund, C Lalancette, T Gong, M Lacey, S Lent, BW Langhorst, ... Genome Biology 22 (1), 1-30, 2021 | 24 | 2021 |
| Comparison of novel and existing methods for detecting differentially methylated regions S Lent, H Xu, L Wang, Z Wang, C Sarnowski, MF Hivert, J Dupuis BMC genetics 19 (1), 27-31, 2018 | 14 | 2018 |
| Detecting differentially methylated regions with multiple distinct associations S Lent, A Cardenas, SL Rifas-Shiman, P Perron, L Bouchard, CT Liu, ... Epigenomics 13 (06), 451-464, 2021 | 13 | 2021 |
| Rare non-coding variation identified by large scale whole genome sequencing reveals unexplained heritability of type 2 diabetes J Wessel, TD Majarian, HM Highland, S Raghavan, MD Szeto, ... medRxiv, 2020 | 13 | 2020 |
| Whole genome sequence association analysis of fasting glucose and fasting insulin levels in diverse cohorts from the NHLBI TOPMed program D DiCorpo, SM Gaynor, EM Russell, KE Westerman, LM Raffield, ... Communications Biology 5 (1), 1-12, 2022 | 8 | 2022 |
| Imputing rare variants in families using a two-stage approach S Lent, X Deng, LA Cupples, KL Lunetta, CT Liu, Y Zhou BMC proceedings 10 (7), 209-214, 2016 | 6 | 2016 |
| The SEQC2 Epigenomics Quality Control (EpiQC) Study: comprehensive characterization of epigenetic methods, reproducibility, and quantification J Foox, J Nordlund, C Lalancette, T Gong, M Lacey, S Lent, BW Langhorst, ... bioRxiv, 2020.12. 14.421529, 2021 | 2 | 2021 |
| Investigation of parent-of-origin effects induced by fenofibrate treatment on triglycerides levels C Sarnowski, S Lent, J Dupuis BMC genetics 19 (1), 45-49, 2018 | 2 | 2018 |
| An efficient analytic approach in genome-wide identification of methylation quantitative trait loci response to fenofibrate treatment JW Cox, D Patel, J Chung, C Zhu, S Lent, V Fisher, A Pitsillides, L Farrer, ... BMC proceedings 12 (9), 241-247, 2018 | 2 | 2018 |
| Mendelian randomization suggests causal influence of glycemic traits on DNA methylation DA DiCorpo, S Lent, W Guan, M HIVERT, JS Pankow, ... Diabetes 67 (Supplement_1), 2018 | 1 | 2018 |
| Novel DNA methylation sites of glucose and insulin homeostasis: an integrative cross-omics analysis J Liu, E Carnero-Montoro, J van Dongen, S Lent, I Nedeljkovic, S Ligthart, ... bioRxiv, 432070, 2018 | 1 | 2018 |
| Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight LK Kupers, C Monnereau, GC Sharp, P Yousefi, LA Salas, A Ghantous, ... Nature Communications 10 (1), 1-11, 2019 | | 2019 |
| Application of novel and existing methods to identify genes with evidence of epigenetic association: results from GAW20 AM Fuady, S Lent, C Sarnowski, NL Tintle BMC genetics 19 (1), 89-97, 2018 | | 2018 |
| Methods for multi-site and multi-tissue analysis of DNA methylation data S Lent Boston University, 2018 | | 2018 |
| Enrichment Analysis Informs Rare Variant Association Tests of Type 2 Diabetes and Glycemic Traits in CHARGE Whole‑Genome Sequence S Lent, A Manning, J Wessel, J Dupuis, JB Meigs DIABETES 66, A478-A478, 2017 | | 2017 |
