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Elks CE, den Hoed M, Zhao JH, et al. Variability in the heritability of body mass index: a systematic review and meta-regression. Front Endocrinol (Lausanne). 2012;3:29doi: 10.3389/fendo.2012.00029.
Elks, C. E., den Hoed, M., Zhao, J. H., Sharp, S. J., Wareham, N. J., Loos, R. J., & Ong, K. K. (2012). Variability in the heritability of body mass index: a systematic review and meta-regression. Frontiers in endocrinology, 329. https://doi.org/10.3389/fendo.2012.00029
Elks, Cathy E, et al. "Variability in the heritability of body mass index: a systematic review and meta-regression." Frontiers in endocrinology vol. 3 (2012): 29. doi: https://doi.org/10.3389/fendo.2012.00029
Elks CE, den Hoed M, Zhao JH, Sharp SJ, Wareham NJ, Loos RJ, Ong KK. Variability in the heritability of body mass index: a systematic review and meta-regression. Front Endocrinol (Lausanne). 2012 Feb 28;3:29. doi: 10.3389/fendo.2012.00029. eCollection 2012. PMID: 22645519; PMCID: PMC3355836.
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Front Endocrinol (Lausanne). 2012 Feb 28;3:29. doi: 10.3389/fendo.2012.00029. eCollection 2012.

Variability in the heritability of body mass index: a systematic review and meta-regression.

Frontiers in endocrinology

Cathy E Elks, Marcel den Hoed, Jing Hua Zhao, Stephen J Sharp, Nicholas J Wareham, Ruth J F Loos, Ken K Ong

Affiliations

  1. Medical Research Council Epidemiology Unit, Institute of Metabolic Science Cambridge, UK.

PMID: 22645519 PMCID: PMC3355836 DOI: 10.3389/fendo.2012.00029

Abstract

Evidence for a major role of genetic factors in the determination of body mass index (BMI) comes from studies of related individuals. Despite consistent evidence for a heritable component of BMI, estimates of BMI heritability vary widely between studies and the reasons for this remain unclear. While some variation is natural due to differences between populations and settings, study design factors may also explain some of the heterogeneity. We performed a systematic review that identified 88 independent estimates of BMI heritability from twin studies (total 140,525 twins) and 27 estimates from family studies (42,968 family members). BMI heritability estimates from twin studies ranged from 0.47 to 0.90 (5th/50th/95th centiles: 0.58/0.75/0.87) and were generally higher than those from family studies (range: 0.24-0.81; 5th/50th/95th centiles: 0.25/0.46/0.68). Meta-regression of the results from twin studies showed that BMI heritability estimates were 0.07 (P = 0.001) higher in children than in adults; estimates increased with mean age among childhood studies (+0.012/year, P = 0.002), but decreased with mean age in adult studies (-0.002/year, P = 0.002). Heritability estimates derived from AE twin models (which assume no contribution of shared environment) were 0.12 higher than those from ACE models (P < 0.001), whilst lower estimates were associated with self reported versus DNA-based determination of zygosity (-0.04, P = 0.02), and with self reported versus measured BMI (-0.05, P = 0.03). Although the observed differences in heritability according to aspects of study design are relatively small, together, the above factors explained 47% of the heterogeneity in estimates of BMI heritability from twin studies. In summary, while some variation in BMI heritability is expected due to population-level differences, study design factors explained nearly half the heterogeneity reported in twin studies. The genetic contribution to BMI appears to vary with age and may have a greater influence during childhood than adult life.

Keywords: body mass index; family study; heritability; twin study

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