about
Large-scale genomic analyses link reproductive aging to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repairMeta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levelsRare and low-frequency coding variants alter human adult heightExploration of haplotype research consortium imputation for genome-wide association studies in 20,032 Generation Scotland participants.Genome-wide physical activity interactions in adiposity - A meta-analysis of 200,452 adults.Genome-wide association study identifies 74 loci associated with educational attainment.Meta-analysis of Genome-wide Association Studies for Neuroticism, and the Polygenic Association With Major Depressive Disorder.Sixteen new lung function signals identified through 1000 Genomes Project reference panel imputationA meta-analysis of 120 246 individuals identifies 18 new loci for fibrinogen concentration.Meta-analysis of Genome-Wide Association Studies for Extraversion: Findings from the Genetics of Personality ConsortiumGeneral Framework for Meta-Analysis of Haplotype Association Tests.An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group.Trans-ancestry meta-analyses identify rare and common variants associated with blood pressure and hypertension.Genome-wide association analysis identifies novel blood pressure loci and offers biological insights into cardiovascular risk.Genome-wide association analyses for lung function and chronic obstructive pulmonary disease identify new loci and potential druggable targets.Electronic health record and genome-wide genetic data in Generation Scotland participants.Meta-analysis of exome array data identifies six novel genetic loci for lung functionLarge-Scale Genomic Analyses Link Reproductive Aging to Hypothalamic Signaling, Breast Cancer Susceptibility, and BRCA1-Mediated DNA RepairGenome-wide association meta-analyses and fine-mapping elucidate pathways influencing albuminuriaTarget genes, variants, tissues and transcriptional pathways influencing human serum urate levelsMulti-ancestry sleep-by-SNP interaction analysis in 126,926 individuals reveals lipid loci stratified by sleep durationA catalog of genetic loci associated with kidney function from analyses of a million individualsSmoking-by-genotype interaction in type 2 diabetes risk and fasting glucose
P50
Q28267893-47D8981A-2C25-4D9F-AA83-730E60C84514Q28596453-2CEEE97D-D944-477F-AEB5-6D1DCA86736FQ29583867-95EAC652-F359-4A6C-8962-E49C55D4B777Q30840891-D575B2E0-A577-4F86-B6EE-C1E34356E802Q33610252-6A88BBA7-3FB3-42F3-B9BC-2D0F66D9F2DCQ34046898-1218520F-E1CA-49A1-BB06-58BA4F3AC091Q34477135-D9200556-AC4B-4992-B045-A07F8F8ED497Q36392496-958ACBCD-6889-46C7-B437-0ED94E13CF78Q36468916-7F30DE9F-A716-48E8-826D-3E35F83F1CF5Q36573329-A6112764-CA7F-43EF-9E49-0F3A2C67FFEBQ36908125-F39AD4A4-4E41-4363-91CE-3E5867B6D12FQ37014024-2F86CE13-780B-4571-B8F6-E7DD83ECA69EQ37324554-A3EA4088-9CFA-429D-BEC5-3B384F7DEC29Q38764367-93694F1F-00E0-4E3D-9726-39547786A9D7Q39568339-62537C58-A58D-4CE7-B60D-1E3F4D323D49Q42698641-75981852-17C3-4A7E-A637-73824DF1E958Q56992676-EC7EAA97-6372-4C17-8C29-E2C2EE7A2C0FQ57191573-CA9CF2B4-559C-44CE-8B19-67B4F671CE26Q90068994-009DF438-C09F-447F-B255-6E5A76538B75Q90442174-1017D43E-FC4E-484E-8527-801228EF481FQ91260159-008F266D-9A60-4A70-9500-A0163192728FQ92451898-EDE97F64-F443-468F-9D06-AC34228F6A77Q94606219-574C4B3B-BC99-4CAD-9E89-5D90E680C23A
P50
description
hulumtues
@sq
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Jonathan Marten
@ast
Jonathan Marten
@en
Jonathan Marten
@es
Jonathan Marten
@nl
Jonathan Marten
@sl
type
label
Jonathan Marten
@ast
Jonathan Marten
@en
Jonathan Marten
@es
Jonathan Marten
@nl
Jonathan Marten
@sl
prefLabel
Jonathan Marten
@ast
Jonathan Marten
@en
Jonathan Marten
@es
Jonathan Marten
@nl
Jonathan Marten
@sl
P106
P21
P31
P496
0000-0001-6916-2014