scholarly journals Association of a Genetic Risk Score With Body Mass Index

JAMA ◽  
2016 ◽  
Vol 316 (17) ◽  
pp. 1825
Author(s):  
Marcus R. Munafò ◽  
Kate Tilling ◽  
George Davey Smith
JAMA ◽  
2016 ◽  
Vol 316 (1) ◽  
pp. 63 ◽  
Author(s):  
Stefan Walter ◽  
Iván Mejía-Guevara ◽  
Karol Estrada ◽  
Sze Y. Liu ◽  
M. Maria Glymour

JAMA ◽  
2016 ◽  
Vol 316 (17) ◽  
pp. 1826
Author(s):  
Hexuan Liu ◽  
Guang Guo

2018 ◽  
Vol 42 (4) ◽  
pp. 354-365 ◽  
Author(s):  
Jihye Kim ◽  
Peter Kraft ◽  
Kaitlin A. Hagan ◽  
Laura B. Harrington ◽  
Sara Lindstroem ◽  
...  

2014 ◽  
Vol 114 (12) ◽  
pp. 1954-1966 ◽  
Author(s):  
Patricia Casas-Agustench ◽  
Donna K. Arnett ◽  
Caren E. Smith ◽  
Chao-Qiang Lai ◽  
Laurence D. Parnell ◽  
...  

PLoS ONE ◽  
2013 ◽  
Vol 8 (11) ◽  
pp. e79547 ◽  
Author(s):  
Nicole M. Warrington ◽  
Laura D. Howe ◽  
Yan Yan Wu ◽  
Nicholas J. Timpson ◽  
Kate Tilling ◽  
...  

JAMA ◽  
2016 ◽  
Vol 316 (17) ◽  
pp. 1826
Author(s):  
M. Maria Glymour ◽  
Stefan Walter ◽  
Iván Mejía-Guevara

2019 ◽  
Author(s):  
Willa D. Brenowitz ◽  
Scott C. Zimmerman ◽  
Teresa J. Filshtein ◽  
Kristine Yaffe ◽  
Stefan Walter ◽  
...  

AbstractObjectivesWeight loss is common in the years before an Alzheimer’s disease (AD) diagnosis, likely due to changes in appetite and diet. The age at which this change in body mass index (BMI) emerges is unclear but may point to the earliest manifestations of AD, timing that may be important for identifying windows of intervention or risk reduction. We examined the association between AD genetic risk and cross-sectional BMI across adults in mid-to late-life as an innovative approach to determine the age at which BMI changes and may indicate preclinical AD.DesignObservational studySettingUK BiobankParticipants407,386 UK Biobank non-demented participants aged 39-70 with Caucasian genetic ancestry enrolled 2007-2010.Main Outcome MeasuresBMI (kg/m2) was constructed from height and weight measured during the initial visit. A genetic risk score for AD (AD-GRS) was calculated as a weighted sum of 23 genetic variants previously confirmed to be genome-wide significant predictors of AD (Z-scored). We evaluated whether the association of AD-GRS with BMI differed by age using linear regression with adjustment for sex and genetic ancestry, stratified by age grouping (40-60, 61+). We calculated the earliest age at which high AD-GRS predicted divergence in BMI compared to normal age-related BMI trends with linear and quadratic terms for age and interactions with AD-GRS.ResultsIn 39-49 year olds, AD-GRS was not significantly associated with lower BMI (0.00 kg/m2 per SD in AD-GRS; 95%CI: -0.03,0.03). In 50-59 year olds AD-GRS was associated with lower BMI (-0.03 kg/m2 per 1 SD in AD-GRS; 95%CI:-0.06,-0.01) and this association was stronger in 60-70 year olds (-0.09 kg/m2 per 1 SD in AD-GRS; 95%CI:-0.12,-0.07). Model-based BMI age-curves for people with high versus low AD-GRS scores began to diverge after age 47.InterpretationGenetic factors that increase AD risk begin to predict lower BMI in adults by age 50, with greater effect later in older ages. Weight loss may manifest as an early pathophysiologic change associated with AD.


2012 ◽  
pp. n/a-n/a ◽  
Author(s):  
M. Jokela ◽  
M. Elovainio ◽  
L. Keltikangas-Järvinen ◽  
G. D. Batty ◽  
M. Hintsanen ◽  
...  

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