The effect of GWAS identified BMI loci on changes in body weight among middle-aged danes during a five year period
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
The effect of GWAS identified BMI loci on changes in body weight among middle-aged danes during a five year period. / Sandholt, Camilla Helene; Allin, Kristine Højgaard; Toft, U; Borglykke, A; Ribel-Madsen, Rasmus; Sparsø, Thomas Hempel; Justesen, Johanne Marie; Harder, Marie Neergaard; Jørgensen, Torben; Hansen, Torben; Pedersen, O.
In: Obesity, Vol. 22, No. 3, 26.06.2013, p. 901-908.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - The effect of GWAS identified BMI loci on changes in body weight among middle-aged danes during a five year period
AU - Sandholt, Camilla Helene
AU - Allin, Kristine Højgaard
AU - Toft, U
AU - Borglykke, A
AU - Ribel-Madsen, Rasmus
AU - Sparsø, Thomas Hempel
AU - Justesen, Johanne Marie
AU - Harder, Marie Neergaard
AU - Jørgensen, Torben
AU - Hansen, Torben
AU - Pedersen, O
N1 - Copyright © 2013 The Obesity Society.
PY - 2013/6/26
Y1 - 2013/6/26
N2 - Objective Genome-wide association studies have identified genetic variants associating with BMI, however, it is un-clarified whether the same variants also influence body weight fluctuations. Design and Methods Among 3,982 adult individuals that attended both a baseline and a five year follow-up examination in the Danish Inter99 intervention study, we constructed a genetic risk score (GRS) based on 30 BMI variants to address whether it associated with body weight changes. Moreover, we examined whether the effect of lifestyle changes was modulated by the GRS. Results The GRS associated strongly with baseline body weight, with a per risk allele increase of 0.45 (0.33-0.58) kg (P = 2.7 × 10(-12) ), corresponding to a body weight difference of 3.41 (2.21-4.60) kg comparing the highest (≥ 30 risk alleles) and lowest (≤ 26 risk alleles) risk allele tertile. No association was observed with changes in body weight during the five years. Changes in lifestyle, including physical activity, diet and smoking habits associated strongly with body weight changes, however, no interactions with the GRS was observed. Conclusion The GRS associated with body weight cross-sectionally, but not with changes over a five year period. Body weight changes were influenced by lifestyle changes, however, independently the GRS.
AB - Objective Genome-wide association studies have identified genetic variants associating with BMI, however, it is un-clarified whether the same variants also influence body weight fluctuations. Design and Methods Among 3,982 adult individuals that attended both a baseline and a five year follow-up examination in the Danish Inter99 intervention study, we constructed a genetic risk score (GRS) based on 30 BMI variants to address whether it associated with body weight changes. Moreover, we examined whether the effect of lifestyle changes was modulated by the GRS. Results The GRS associated strongly with baseline body weight, with a per risk allele increase of 0.45 (0.33-0.58) kg (P = 2.7 × 10(-12) ), corresponding to a body weight difference of 3.41 (2.21-4.60) kg comparing the highest (≥ 30 risk alleles) and lowest (≤ 26 risk alleles) risk allele tertile. No association was observed with changes in body weight during the five years. Changes in lifestyle, including physical activity, diet and smoking habits associated strongly with body weight changes, however, no interactions with the GRS was observed. Conclusion The GRS associated with body weight cross-sectionally, but not with changes over a five year period. Body weight changes were influenced by lifestyle changes, however, independently the GRS.
U2 - 10.1002/oby.20540
DO - 10.1002/oby.20540
M3 - Journal article
C2 - 23804573
VL - 22
SP - 901
EP - 908
JO - Obesity
JF - Obesity
SN - 1930-7381
IS - 3
ER -
ID: 47256241