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Archie Campbell

Showing results (161-170 of 240) with videos related to

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Cell Systems|June 17, 2021
A time-resolved proteomic and prognostic map of COVID-19Vadim Demichev, Pinkus Tober-Lau, Oliver Lemke, et al.
European Journal of Epidemiology|April 25, 2020
The Dementias Platform UK (DPUK) Data PortalSarah Bauermeister, Christopher Orton, Simon Thompson, et al.
Plos Genetics|December 5, 2014
Stratification by smoking status reveals an association of CHRNA5-A3-B4 genotype with body mass index in never smokersAmy E Taylor, Richard W Morris, Meg E Fluharty, et al.
BMJ Open|October 9, 2014
Investigating the possible causal association of smoking with depression and anxiety using Mendelian randomisation meta-analysis: the CARTA consortiumAmy E Taylor, Meg E Fluharty, Johan H Bjørngaard, et al.
PLOS Digital Health|February 22, 2023
A proteomic survival predictor for COVID-19 patients in intensive careVadim Demichev, Pinkus Tober-Lau, Tatiana Nazarenko, et al.
Circulation. Cardiovascular Genetics|November 6, 2015
Effect of Smoking on Blood Pressure and Resting Heart Rate: A Mendelian Randomization Meta-Analysis in the CARTA ConsortiumAllan Linneberg, Rikke K Jacobsen, Tea Skaaby, et al.
BMJ Open|August 13, 2015
Heavier smoking may lead to a relative increase in waist circumference: evidence for a causal relationship from a Mendelian randomisation meta-analysis. The CARTA consortiumRichard W Morris, Amy E Taylor, Meg E Fluharty, et al.
Medrxiv : the Preprint Server for Health Sciences|November 24, 2025
Family-GWAS reveals effects of environment and mating on genetic associationsTammy Tan, Hariharan Jayashankar, Junming Guan, et al.
Wellcome Open Research|June 7, 2021
Variants associated with <i>HHIP</i> expression have sex-differential effects on lung functionKatherine A Fawcett, Ma'en Obeidat, Carl Melbourne, et al.
Medrxiv : the Preprint Server for Health Sciences|September 15, 2025
Gene-environment interaction analysis in atopic eczema: evidence from large population datasets and modelling <i>in vitro</i>Marie Standl, Ashley Budu-Aggrey, Luke J Johnston, et al.
Pageof 24

Showing results (161-170 of 240) with videos related to

Sort By:
Pageof 24
Cell Systems|June 17, 2021
A time-resolved proteomic and prognostic map of COVID-19Vadim Demichev, Pinkus Tober-Lau, Oliver Lemke, et al.
European Journal of Epidemiology|April 25, 2020
The Dementias Platform UK (DPUK) Data PortalSarah Bauermeister, Christopher Orton, Simon Thompson, et al.
Plos Genetics|December 5, 2014
Stratification by smoking status reveals an association of CHRNA5-A3-B4 genotype with body mass index in never smokersAmy E Taylor, Richard W Morris, Meg E Fluharty, et al.
BMJ Open|October 9, 2014
Investigating the possible causal association of smoking with depression and anxiety using Mendelian randomisation meta-analysis: the CARTA consortiumAmy E Taylor, Meg E Fluharty, Johan H Bjørngaard, et al.
PLOS Digital Health|February 22, 2023
A proteomic survival predictor for COVID-19 patients in intensive careVadim Demichev, Pinkus Tober-Lau, Tatiana Nazarenko, et al.
Circulation. Cardiovascular Genetics|November 6, 2015
Effect of Smoking on Blood Pressure and Resting Heart Rate: A Mendelian Randomization Meta-Analysis in the CARTA ConsortiumAllan Linneberg, Rikke K Jacobsen, Tea Skaaby, et al.
BMJ Open|August 13, 2015
Heavier smoking may lead to a relative increase in waist circumference: evidence for a causal relationship from a Mendelian randomisation meta-analysis. The CARTA consortiumRichard W Morris, Amy E Taylor, Meg E Fluharty, et al.
Medrxiv : the Preprint Server for Health Sciences|November 24, 2025
Family-GWAS reveals effects of environment and mating on genetic associationsTammy Tan, Hariharan Jayashankar, Junming Guan, et al.
Wellcome Open Research|June 7, 2021
Variants associated with <i>HHIP</i> expression have sex-differential effects on lung functionKatherine A Fawcett, Ma'en Obeidat, Carl Melbourne, et al.
Medrxiv : the Preprint Server for Health Sciences|September 15, 2025
Gene-environment interaction analysis in atopic eczema: evidence from large population datasets and modelling <i>in vitro</i>Marie Standl, Ashley Budu-Aggrey, Luke J Johnston, et al.
Pageof 24