scispace - formally typeset
M

M. Dawn Teare

Researcher at University of Sheffield

Publications -  85
Citations -  4451

M. Dawn Teare is an academic researcher from University of Sheffield. The author has contributed to research in topics: Lung cancer & Cancer. The author has an hindex of 25, co-authored 71 publications receiving 3629 citations. Previous affiliations of M. Dawn Teare include Cardiff University & Newcastle University.

Papers
More filters
Journal ArticleDOI

Obesity, metabolic factors and risk of different histological types of lung cancer: A Mendelian randomization study

Robert Carreras-Torres, +64 more
- 08 Jun 2017 - 
TL;DR: The results are consistent with a causal role of fasting insulin and low-density lipoprotein cholesterol in lung cancer etiology, as well as for BMI in squamous cell and small cell carcinoma, and the latter relation may be mediated by a previously unrecognized effect of obesity on smoking behavior.
Journal ArticleDOI

Large-scale association analysis identifies new lung cancer susceptibility loci and heterogeneity in genetic susceptibility across histological subtypes

James D. McKay, +146 more
- 12 Jun 2017 - 
TL;DR: 18 susceptibility loci achieving genome-wide significance are identified, including 10 new loci linked with lung cancer overall and six loci associated with lung adenocarcinoma, highlighting the striking heterogeneity in genetic susceptibility across the histological subtypes of lung cancer.
Journal ArticleDOI

Sample size requirements to estimate key design parameters from external pilot randomised controlled trials: a simulation study.

TL;DR: This work uses a simulation approach to illustrate the sampling distribution of the standard deviation for continuous outcomes and the event rate for binary outcomes, and presents the impact of increasing the pilot sample size on the precision and bias of these estimates, and predicted power under three realistic scenarios.
Journal ArticleDOI

Genetic linkage studies

TL;DR: This work provides an introduction to methods commonly used to map loci that predispose to disease and discusses the role of simulation in assessment of statistical significance and estimation of power.