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Exploring the developmental overnutrition hypothesis using parental-offspring associations and FTO as an instrumental variable.

Lawlor DA, Timpson NJ, Harbord RM, Leary S, Ness A, McCarthy MI, Frayling TM, Hattersley AT, Smith GD

Medical Research Council Centre for Causal Analyses in Translational Epidemiology, University of Bristol, Bristol, United Kingdom. d.a.lawlor@bristol.ac.uk

BACKGROUND: The developmental overnutrition hypothesis suggests that greater maternal obesity during pregnancy results in increased offspring adiposity in later life. If true, this would result in the obesity epidemic progressing across generations irrespective of environmental or genetic changes. It is therefore important to robustly test this hypothesis. METHODS AND FINDINGS: We explored this hypothesis by comparing the associations of maternal and paternal pre-pregnancy body mass index (BMI) with offspring dual energy X-ray absorptiometry (DXA)-determined fat mass measured at 9 to 11 y (4,091 parent-offspring trios) and by using maternal FTO genotype, controlling for offspring FTO genotype, as an instrument for maternal adiposity. Both maternal and paternal BMI were positively associated with offspring fat mass, but the maternal association effect size was larger than that in the paternal association in all models: mean difference in offspring sex- and age-standardised fat mass z-score per 1 standard deviation BMI 0.24 (95% confidence interval [CI]: 0.22 to 0.26) for maternal BMI versus 0.13 (95% CI: 0.11, 0.15) for paternal BMI; p-value for difference in effect < 0.001. The stronger maternal association was robust to sensitivity analyses assuming levels of non-paternity up to 20%. When maternal FTO, controlling for offspring FTO, was used as an instrument for the effect of maternal adiposity, the mean difference in offspring fat mass z-score per 1 standard deviation maternal BMI was -0.08 (95% CI: -0.56 to 0.41), with no strong statistical evidence that this differed from the observational ordinary least squares analyses (p = 0.17). CONCLUSIONS: Neither our parental comparisons nor the use of FTO genotype as an instrumental variable, suggest that greater maternal BMI during offspring development has a marked effect on offspring fat mass at age 9-11 y. Developmental overnutrition related to greater maternal BMI is unlikely to have driven the recent obesity epidemic.

Published 27 March 2008 in PLoS Med, 5(3): e33.
Full-text of this article is available online (may require subscription).


Articles on Biostatistics published 27 March 2008:

Global transcript profiles of fat in monozygotic twins discordant for BMI: pathways behind acquired obesity.   PLoS Med, 5(3): e51.

BACKGROUND: The acquired component of complex traits is difficult to dissect in humans. Obesity represents such a trait, in which the metabolic and molecular consequences emerge from complex interactions of genes and environment. With the substantial morbidity associated with obesity, a deeper understanding of the concurrent metabolic changes is of considerable importance. The goal of this study was to investigate this important acquired component and expose obesity-induced changes in ... [Abstract] [Full-text]

No evidence for association between BMI and 10 candidate genes at ages 4, 7 and 10 in a large UK sample of twins.   BMC Med Genet, 9: 12.

BACKGROUND: Over the last decade, associations between Body Mass Index (BMI) and a variety of candidate genes have been reported, but samples have almost all been limited to adults. The purpose of the present study was to test the developmental origins of some of these associations in a large longitudinal sample of children. METHODS: For 10 single-nucleotide polymorphisms (SNPs) in candidate genes reported to be associated with BMI in adults, we examined associations with BMI in a sample of ... [Abstract] [Full-text]


Articles on Biostatistics published 26 March 2008:

The Homo floresiensis cranium (LB1): size, scaling, and early Homo affinities.   Proc Natl Acad Sci U S A, 105(12): 4650-5.

The skeletal remains of a diminutive small-brained hominin found in Late Pleistocene cave deposits on the island of Flores, Indonesia were assigned to a new species, Homo floresiensis [Brown P, et al. (2004) A new small-bodied hominin from the Late Pleistocene of Flores, Indonesia. Nature 431: 1055-1061]. A dramatically different interpretation is that this material belongs not to a novel hominin taxon but to a population of small-bodied modern humans affected, or unaffected, by microcephaly. ... [Abstract] [Full-text]


Articles on Biostatistics published 25 March 2008:

Daily insulin requirement of children and adolescents with type 1 diabetes: effect of age, gender, body mass index and mode of therapy.   Eur J Endocrinol, 158(4): 543-9.

DESIGN: The purpose of this study was to generate insulin dose (ID) percentiles for children and adolescents with type 1 diabetes mellitus (DM1) having the opportunity to assess this important parameter in relation to age and sex. METHODS: Daily IDs per weight (ID/kg) were recorded in 22,177 patients with DM1 (3-25 years of age, DM1 duration of more than 2 years, 48% female) and ID percentiles (ID-Perc) were created statistically. The ID-Perc were compared between male and female, and between ... [Abstract] [Full-text]


Articles on Biostatistics published 21 March 2008:

Soft tissue facial planes and masticatory muscle function in skeletal Class III patients before and after orthognathic surgery treatment.   J Oral Maxillofac Surg, 66(4): 691-8.

PURPOSE: To noninvasively assess the facial soft tissues and masticatory muscle function before and after orthognathic surgery. PATIENTS AND METHODS: Eight patients aged 18 to 36 years, all with a skeletal Class III and mandibular asymmetry, were assessed both before (on average, 2 months) and after (on average, 10.5 months) surgical intervention (mandibular reduction by sagittal split osteotomy and Le Fort I maxillary advancement). From the 3-dimensional coordinates of soft tissue facial ... [Abstract] [Full-text]


Articles on Biostatistics published 20 March 2008:

Biometric calculation of intraocular lens power for cataract surgery following pupil dilatation.   Clin Experiment Ophthalmol, 36(2): 156-8.

BACKGROUND: The ability to perform biometry accurately on a dilated pupil can greatly facilitate the efficiency of a cataract service as it can be done on the day of surgery. The purpose of this study was to assess the repeatability of axial length (AL) calculations in undilated pupils and measure the difference in predicted and actual refractive outcomes in dilated pupils compared with undilated pupils. METHODS: First, intraobserver repeatability was assessed by taking two consecutive ... [Abstract] [Full-text]

Association between body weight and periodontal infection.   J Clin Periodontol, 35(4): 297-304.

BACKGROUND: Besides being a risk factor for cardiovascular diseases, certain cancers and type II diabetes, obesity has been suggested to be a risk factor for periodontitis. A number of epidemiological studies have studied the association between obesity and periodontitis, but the results have been partly inconclusive. The aim of this study was to examine the association of body weight with periodontal infection. MATERIAL AND METHODS: The association between body weight and periodontal infection ... [Abstract] [Full-text]


Articles on Biostatistics published 11 March 2008:

Evaluation of catch-up growth from orthodontic treatment and supplemental growth hormone therapy by using Z-scores.   Am J Orthod Dentofacial Orthop, 133(3): 450-8.

Pituitary dwarfism causes short stature due to partial or complete inhibition of growth hormone (GH) secretion. Supplemental therapy with human GH (rhGH) accelerates the statural growth of patients, but there is limited information about its effects on craniofacial growth. This study describes the orthodontic treatment of 2 patients (a boy and a girl) diagnosed with pituitary dwarfism and treated with rhGH therapy. Growing children have different growth velocities depending on age and sex, and ... [Abstract] [Full-text]


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Biostatistics Books

Primer of Biostatistics (Primer of Biostatistics (Glantz)(Paperback))

Primer of Biostatistics (Primer of Biostatistics (Glantz)(Paperback))