Suchergebnisse - "Fennessy, Brian"

PubPharm (16)

1

Evaluation of imputation performance of multiple reference panels in a Pakistani population

enthalten in: bioRxiv.org | 2023

von Xu, J. | Liu, D. | Hassan, A. | +10

2

Evaluation of imputation performance of multiple reference panels in a Pakistani population

enthalten in: medRxiv : the preprint server for health sciences | 2023

von Xu, J. | Liu, D. | Hassan, A. | +10

3

The genetic contribution to the comorbidity of depression and anxiety : a multi-site electronic health records study of almost 178 000 people

enthalten in: Psychological medicine | 2023

von Coombes, B. | Landi, I. | Choi, K. | +18

4

Comorbidity and healthcare utilization in patients with treatment resistant depression : A large-scale retrospective cohort analysis using electronic health records

enthalten in: Journal of affective disorders | 2023

von Adekkanattu, P. | Olfson, M. | Susser, L. | +16

5

Schizophrenia risk conferred by rare protein-truncating variants is conserved across diverse human populations

enthalten in: Nature genetics | 2023

von Liu, D. | Meyer, D. | Fennessy, B. | +158

6

Molecular states during acute COVID-19 reveal distinct etiologies of long-term sequelae

enthalten in: Nature medicine | 2023

von Thompson, R. | Simons, N. | Wilkins, L. | +135

7

Rare schizophrenia risk variant burden is conserved in diverse human populations

enthalten in: bioRxiv.org | 2023

von Liu, D. | Meyer, D. | Fennessy, B. | +55

8

The dynamic changes and sex differences of 147 immune-related proteins during acute COVID-19 in 580 individuals

enthalten in: Clinical proteomics | 2022

von Butler-Laporte, G. | Gonzalez-Kozlova, E. | Su, C. | +162

ErratumIn: Clin Proteomics. 2022 Nov 15;19(1):40. - PMID 36376796

9

Phenotype-by-phenome-wide association study of treatment resistant depression

enthalten in: bioRxiv.org | 2022

von Coombes, B. | Sanchez Ruiz, J. | Fennessy, B. | +15

10

The contribution of genetic risk to the comorbidity of depression and anxiety: a multi-site electronic health records study

enthalten in: bioRxiv.org | 2022

von Coombes, B. | Landi, I. | Choi, K. | +16