(Q38885573)

7 September 2017

title

Towards understanding and predicting suicidality in women: biomarkers and clinical risk assessment (English)

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7 September 2017

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1

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2 June 2020

Peter Phalen

5

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2 June 2020

Sunil M Kurian

18

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2 June 2020

20

D R Salomon

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2 June 2020

3

H Le-Niculescu

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2 June 2020

21

A B Niculescu

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2 June 2020

11

N P Vanipenta

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2 June 2020

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author name string

E M Niculescu

2

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2 June 2020

H L Dainton

4

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2 June 2020

T B Ladd

6

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2 June 2020

H Weber

7

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2 June 2020

E Belanger

8

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2 June 2020

D L Graham

9

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2 June 2020

F N Khan

10

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2 June 2020

E C Stage

12

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2 June 2020

A Ballew

13

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2 June 2020

M Yard

14

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2 June 2020

T Gelbart

15

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2 June 2020

A Shekhar

16

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2 June 2020

N J Schork

17

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2 June 2020

G E Sandusky

19

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2 June 2020

language of work or name

English

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publication date

5 April 2016

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7 September 2017

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2 June 2020

volume

21

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2 June 2020

issue

6

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2 June 2020

page(s)

768-785

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Understanding and predicting suicidality using a combined genomic and clinical risk assessment approach

2 June 2020

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RNA expression profiling in depressed patients suggests retinoid-related orphan receptor alpha as a biomarker for antidepressant response

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Blood mononuclear cell proteome suggests integrin and Ras signaling as critical pathways for antidepressant treatment response

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Psychotic symptoms in adolescence index risk for suicidal behavior: findings from 2 population-based case-control clinical interview studies

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Predictors of suicide and accident death in the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS): results from the Army Study to Assess Risk and Resilience in Servicemembers (Army STARRS)

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12 December 2020

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