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Samantha Lent
Samantha Lent
Freenome, MacLean Center for Clinical Medical Ethics
Verified email at bu.edu
Title
Cited by
Cited by
Year
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
1792019
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
1312020
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
782019
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
702016
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
642020
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
282021
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
162018
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
142021
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
132020
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
92022
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
62016
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
32018
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
22021
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
22018
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
12018
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
12018
Maternal gestational diabetes 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, 0
1*
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
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Articles 1–20