Causal estimates of genetic liability for nsCL/P on philtrum width using mendelian randomization.

Mendelian Randomisation with Many Dependent Instruments

Chin Yang Shapland (7783682)

June 2017

Mendelian randomisation is well known for its weak instrument bias, which is caused by the weak gene...

Estimating the causal effect of liability to disease on healthcare costs using Mendelian Randomization

Dixon, P
Harrison, S
Hollingworth, W
Davies, N
Davey Smith, G

January 2022

Accurate measurement of the effects of disease status on healthcare costs is important in the pragma...

Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants

Burgess, Stephen
Bowden, Jack
Fall, Tove
Ingelsson, Erik
Thompson, Simon G.

January 2017

Mendelian randomization investigations are becoming more powerful and simpler to perform, due to the...

Power and sample size calculations for mendelian randomization studies

Cowling, B
Schooling, M
Freeman, G

January 2013

Session - Contributions to Causal inference: abstract no. 465Mendelian randomization, which is instr...

Liability threshold model for nsCL/P.

Laurence J. Howe (5579186)
Myoung Keun Lee (3080544)
Gemma C. Sharp (439531)
George Davey Smith (82619)
Beate St Pourcain (116086)
John R. Shaffer (206255)
Kerstin U. Ludwig (701366)
Elisabeth Mangold (701365)
Mary L. Marazita (134605)
Eleanor Feingold (10018)
Alexei Zhurov (5579189)
Evie Stergiakouli (3902056)
Jonathan Sandy (4098778)
Stephen Richmond (382125)
Seth M. Weinberg (435939)
Gibran Hemani (208828)
Sarah J. Lewis (116104)

August 2018

<p>Shown is an illustration of a liability threshold model for nsCL/P. Every individual has a normal...

Beyond Mendelian randomization: how to interpret evidence of shared genetic predictors

S. Burgess (4176619)
A. S. Butterworth (7605158)
John R. Thompson (256150)

August 2015

OBJECTIVE: Mendelian randomization is a popular technique for assessing and estimating the causal ef...

Inferring causal relationships between risk factors and outcomes from GWAS data

Burgess, Stephen
Foley, Christopher
Zuber, Verena

February 2018

An observational correlation between a suspected risk factor and an outcome does not necessarily imp...

e18 Letter to the Editor Causality in Genetics The Gradient of Genetic Effects and Back to Koch's Postulates of Causality

October 2016

Genetics provide a robust scientific platform for establishing a relationship between a cause, for e...

Inferring Causal Relationships Between Risk Factors and Outcomes from Genome-Wide Association Study Data.

Burgess, Stephen
Foley, Christopher
Zuber, Verena

August 2018

An observational correlation between a suspected risk factor and an outcome does not necessarily imp...

A comparison of three methods of Mendelian randomization when the genetic instrument, the risk factor and the outcome are all binary.

Philippe Vuistiner
Murielle Bochud
Valentin Rousson

The method of instrumental variable (referred to as Mendelian randomization when the instrument is a...

Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants.

Burgess, Stephen
Bowden, J
Fall, T
Ingelsson, E
Thompson, Simon

January 2017

Mendelian randomization investigations are becoming more powerful and simpler to perform, due to the...

A Comparison of Three Methods of Mendelian Randomization when the Genetic Instrument, the Risk Factor and the Outcome Are All Binary

Murielle Bochud
Valentin Rousson

January 2012

The method of instrumental variable (referred to as Mendelian randomization when the instrument is a...

Estimating marginal medical care expenditures using genetic variants as instrumental variables: Mendelian Randomization in economic evaluation

Dixon, P.
Davey-Smith, G. (George)
von Hinke Kessler Scholder, S.M.L.
Davies, N.
Hollingworth, W.

January 2016

Accurate measurement of the marginal healthcare costs associated with different diseases and health ...

Interpretation of Mendelian randomization using a single measure of an exposure that varies over time

Morris, Tim
Heron, Jon
Sanderson, Eleanor
Davey Smith, George
Didelez, Vanessa
Tilling, Kate

January 2022

BACKGROUND: Mendelian randomization (MR) is a powerful tool through which the causal effects of modi...

Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments.

Wang, Jingshu
Zhao, Qingyuan
Bowden, Jack
Hemani, Gibran
Davey Smith, George
Small, Dylan S
Zhang, Nancy R

July 2021

Over a decade of genome-wide association studies (GWAS) have led to the finding of extreme polygenic...

Mendelian Randomisation with Many Dependent Instruments

Chin Yang Shapland (7783682)

June 2017

Mendelian randomisation is well known for its weak instrument bias, which is caused by the weak gene...

Estimating the causal effect of liability to disease on healthcare costs using Mendelian Randomization

Dixon, P
Harrison, S
Hollingworth, W
Davies, N
Davey Smith, G

January 2022

Accurate measurement of the effects of disease status on healthcare costs is important in the pragma...

Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants

Burgess, Stephen
Bowden, Jack
Fall, Tove
Ingelsson, Erik
Thompson, Simon G.

January 2017

Mendelian randomization investigations are becoming more powerful and simpler to perform, due to the...

Power and sample size calculations for mendelian randomization studies

Cowling, B
Schooling, M
Freeman, G

January 2013

Session - Contributions to Causal inference: abstract no. 465Mendelian randomization, which is instr...

Liability threshold model for nsCL/P.

Laurence J. Howe (5579186)
Myoung Keun Lee (3080544)
Gemma C. Sharp (439531)
George Davey Smith (82619)
Beate St Pourcain (116086)
John R. Shaffer (206255)
Kerstin U. Ludwig (701366)
Elisabeth Mangold (701365)
Mary L. Marazita (134605)
Eleanor Feingold (10018)
Alexei Zhurov (5579189)
Evie Stergiakouli (3902056)
Jonathan Sandy (4098778)
Stephen Richmond (382125)
Seth M. Weinberg (435939)
Gibran Hemani (208828)
Sarah J. Lewis (116104)

August 2018

<p>Shown is an illustration of a liability threshold model for nsCL/P. Every individual has a normal...

Beyond Mendelian randomization: how to interpret evidence of shared genetic predictors

S. Burgess (4176619)
A. S. Butterworth (7605158)
John R. Thompson (256150)

August 2015

OBJECTIVE: Mendelian randomization is a popular technique for assessing and estimating the causal ef...

Inferring causal relationships between risk factors and outcomes from GWAS data

Burgess, Stephen
Foley, Christopher
Zuber, Verena

February 2018

An observational correlation between a suspected risk factor and an outcome does not necessarily imp...

e18 Letter to the Editor Causality in Genetics The Gradient of Genetic Effects and Back to Koch's Postulates of Causality

October 2016

Genetics provide a robust scientific platform for establishing a relationship between a cause, for e...

Inferring Causal Relationships Between Risk Factors and Outcomes from Genome-Wide Association Study Data.

Burgess, Stephen
Foley, Christopher
Zuber, Verena

August 2018

An observational correlation between a suspected risk factor and an outcome does not necessarily imp...

A comparison of three methods of Mendelian randomization when the genetic instrument, the risk factor and the outcome are all binary.

Philippe Vuistiner
Murielle Bochud
Valentin Rousson

The method of instrumental variable (referred to as Mendelian randomization when the instrument is a...

Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants.

Burgess, Stephen
Bowden, J
Fall, T
Ingelsson, E
Thompson, Simon

January 2017

Mendelian randomization investigations are becoming more powerful and simpler to perform, due to the...

A Comparison of Three Methods of Mendelian Randomization when the Genetic Instrument, the Risk Factor and the Outcome Are All Binary

Murielle Bochud
Valentin Rousson

January 2012

The method of instrumental variable (referred to as Mendelian randomization when the instrument is a...

Estimating marginal medical care expenditures using genetic variants as instrumental variables: Mendelian Randomization in economic evaluation

Dixon, P.
Davey-Smith, G. (George)
von Hinke Kessler Scholder, S.M.L.
Davies, N.
Hollingworth, W.

January 2016

Accurate measurement of the marginal healthcare costs associated with different diseases and health ...

Interpretation of Mendelian randomization using a single measure of an exposure that varies over time

Morris, Tim
Heron, Jon
Sanderson, Eleanor
Davey Smith, George
Didelez, Vanessa
Tilling, Kate

January 2022

BACKGROUND: Mendelian randomization (MR) is a powerful tool through which the causal effects of modi...

Causal inference for heritable phenotypic risk factors using heterogeneous genetic instruments.

Wang, Jingshu
Zhao, Qingyuan
Bowden, Jack
Hemani, Gibran
Davey Smith, George
Small, Dylan S
Zhang, Nancy R

July 2021

Over a decade of genome-wide association studies (GWAS) have led to the finding of extreme polygenic...

Mendelian Randomisation with Many Dependent Instruments

Chin Yang Shapland (7783682)

June 2017

Mendelian randomisation is well known for its weak instrument bias, which is caused by the weak gene...

Estimating the causal effect of liability to disease on healthcare costs using Mendelian Randomization

Dixon, P
Harrison, S
Hollingworth, W
Davies, N
Davey Smith, G

January 2022

Accurate measurement of the effects of disease status on healthcare costs is important in the pragma...

Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants

Burgess, Stephen
Bowden, Jack
Fall, Tove
Ingelsson, Erik
Thompson, Simon G.

January 2017

Mendelian randomization investigations are becoming more powerful and simpler to perform, due to the...

Causal estimates of genetic liability for nsCL/P on philtrum width using mendelian randomization.

Abstract

Extracted data

Causal estimates of genetic liability for nsCL/P on philtrum width using mendelian randomization.

Abstract

Extracted data

Related items

Related items