about
Genome-wide meta-analysis of 241,258 adults accounting for smoking behaviour identifies novel loci for obesity traits.Left ventricular diastolic function associated with common genetic variation in ATP12A in a general population.Genomewide association study using a high-density single nucleotide polymorphism array and case-control design identifies a novel essential hypertension susceptibility locus in the promoter region of endothelial NO synthase.TET2 and CSMD1 genes affect SBP response to hydrochlorothiazide in never-treated essential hypertensives.Interaction between polyphenols intake and PON1 gene variants on markers of cardiovascular disease: a nutrigenetic observational study.Exome sequencing identifies variants in two genes encoding the LIM-proteins NRAP and FHL1 in an Italian patient with BAG3 myofibrillar myopathy.Self-renewal and phenotypic conversion are the main physiological responses of macrophages to the endogenous estrogen surge.SOS2 and ACP1 Loci Identified through Large-Scale Exome Chip Analysis Regulate Kidney Development and Function.The burden of multiple sclerosis variants in continental Italians and Sardinians.Target sequencing, cell experiments, and a population study establish endothelial nitric oxide synthase (eNOS) gene as hypertension susceptibility gene.Preliminary profiling of blood transcriptome in a rat model of hemorrhagic shock.Genome-wide association study identifies CAMKID variants involved in blood pressure response to losartan: the SOPHIA study.Identification of a transcriptome profile associated with improvement of organ function in septic shock patients after early supportive therapyA longitudinal study highlights shared aspects of the transcriptomic response to cardiogenic and septic shockAnalysis of immune, microbiota and metabolome maturation in infants in a clinical trial of Lactobacillus paracasei CBA L74-fermented formula
P50
Q30352681-0182E169-0EAD-4824-BDE1-48C3F12AE27CQ35388910-3454A0F8-8C94-4409-B960-83EBFB16B35CQ35737993-BA09DE46-7A66-4066-8F16-F64B7C32AD5FQ35794752-367F1233-24E2-4DEB-84C9-645140786780Q37031558-A41833F9-00C4-41D6-8351-EB3A67D93D3FQ37231073-5427EB5C-7711-40E7-BE24-7216656E5BBFQ37710693-B0A27C1C-41CE-49AD-A77F-3AF30DFF639DQ39176090-486DEF0E-BC09-4313-9FB3-0806A430F29EQ41260237-93BB249B-37FB-4ED0-A049-A662363562B5Q44231755-7CB1E64C-DF7E-43EF-82F0-722F903BF042Q50326043-7E722030-86E7-4C3F-9FC5-949F1091E9BAQ55070146-0A034609-41E2-4A58-8950-2EE5A0074F23Q59329708-5B742587-C561-4C6B-8C7B-510DE6BFA5A9Q92128612-082CD2F3-4B47-4DBA-A057-88D20FCF3BEFQ96126258-6DAB38ED-F254-415E-88B0-9361EDD63AD5
P50
description
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Daniele Braga
@ast
Daniele Braga
@en
Daniele Braga
@es
Daniele Braga
@nl
type
label
Daniele Braga
@ast
Daniele Braga
@en
Daniele Braga
@es
Daniele Braga
@nl
prefLabel
Daniele Braga
@ast
Daniele Braga
@en
Daniele Braga
@es
Daniele Braga
@nl
P1053
E-7105-2017
P106
P1153
54782203800
P31
P496
0000-0003-2168-8425