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      Adult height variants affect birth length and growth rate in children

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          Abstract

          Previous studies identified 180 single nucleotide polymorphisms (SNPs) associated with adult height, explaining ∼10% of the variance. The age at which these begin to affect growth is unclear. We modelled the effect of these SNPs on birth length and childhood growth. A total of 7768 participants in the Avon Longitudinal Study of Parents and Children had data available. Individual growth trajectories from 0 to 10 years were estimated using mixed-effects linear spline models and differences in trajectories by individual SNPs and allelic score were determined. The allelic score was associated with birth length (0.026 cm increase per ‘tall’ allele, SE = 0.003, P = 1 × 10 −15, equivalent to 0.017 SD). There was little evidence of association between the allelic score and early infancy growth (0–3 months), but there was evidence of association between the allelic score and later growth. This association became stronger with each consecutive growth period, per ‘tall’ allele per month effects were 0.015 SD (3 months–1 year, SE = 0.004), 0.023 SD (1–3 years, SE = 0.003) and 0.028 SD (3–10 years, SE = 0.003). By age 10, the mean height difference between individuals with ≤170 versus ≥191 ‘tall’ alleles (the top and bottom 10%) was 4.7 cm (0.8 SD), explaining ∼5% of the variance. There was evidence of associations with specific growth periods for some SNPs (rs3791675, EFEMP1 and rs6569648, L3MBTL3) and supportive evidence for previously reported age-dependent effects of HHIP and SOCS2 SNPs. SNPs associated with adult height influence birth length and have an increasing effect on growth from late infancy through to late childhood. By age 10, they explain half the height variance (∼5%) of that explained in adults (∼10%).

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          ALSPAC--the Avon Longitudinal Study of Parents and Children. I. Study methodology.

          ALSPAC (The Avon Longitudinal Study of Parents and Children, formerly the Avon Longitudinal Study of Pregnancy and Childhood) was specifically designed to determine ways in which the individual's genotype combines with environmental pressures to influence health and development. To date, there are comprehensive data on approximately 10,000 children and their parents, from early pregnancy until the children are aged between 8 and 9. The study aims to continue to collect detailed data on the children as they go through puberty noting, in particular, changes in anthropometry, attitudes and behaviour, fitness and other cardiovascular risk factors, bone mineralisation, allergic symptoms and mental health. The study started early during pregnancy and collected very detailed data from the mother and her partner before the child was born. This not only provided accurate data on concurrent features, especially medication, symptoms, diet and lifestyle, attitudes and behaviour, social and environmental features, but was unbiased by parental knowledge of any problems that the child might develop. From the time of the child's birth many different aspects of the child's environment have been monitored and a wide range of phenotypic data collected. By virtue of being based in one geographic area, linkage to medical and educational records is relatively simple, and hands-on assessments of children and parents using local facilities has the advantage of high quality control. The comprehensiveness of the ALSPAC approach with a total population sample unselected by disease status, and the availability of parental genotypes, provides an adequate sample for statistical analysis and for avoiding spurious results. The study has an open policy in regard to collaboration within strict confidentiality rules.
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            Many sequence variants affecting diversity of adult human height.

            Adult human height is one of the classical complex human traits. We searched for sequence variants that affect height by scanning the genomes of 25,174 Icelanders, 2,876 Dutch, 1,770 European Americans and 1,148 African Americans. We then combined these results with previously published results from the Diabetes Genetics Initiative on 3,024 Scandinavians and tested a selected subset of SNPs in 5,517 Danes. We identified 27 regions of the genome with one or more sequence variants showing significant association with height. The estimated effects per allele of these variants ranged between 0.3 and 0.6 cm and, taken together, they explain around 3.7% of the population variation in height. The genes neighboring the identified loci cluster in biological processes related to skeletal development and mitosis. Association to three previously reported loci are replicated in our analyses, and the strongest association was with SNPs in the ZBTB38 gene.
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              Vertebrate Hedgehog signalling modulated by induction of a Hedgehog-binding protein.

              The Hedgehog signalling pathway is essential for the development of diverse tissues during embryogenesis. Signalling is activated by binding of Hedgehog protein to the multipass membrane protein Patched (Ptc). We have now identified a novel component in the vertebrate signalling pathway, which we name Hip (for Hedgehog-interacting protein) because of its ability to bind Hedgehog proteins. Hip encodes a membrane glycoprotein that binds to all three mammalian Hedgehog proteins with an affinity comparable to that of Ptc-1. Hip-expressing cells are located next to cells that express each Hedgehog gene. Hip expression is induced by ectopic Hedgehog signalling and is lost in Hedgehog mutants. Thus, Hip, like Ptc-1, is a general transcriptional target of Hedgehog signalling. Overexpression of Hip in cartilage, where Indian hedgehog (Ihh) controls growth, leads to a shortened skeleton that resembles that seen when Ihh function is lost (B. St-Jacques, M. Hammerschmidt & A.P.M., in preparation). Our findings support a model in which Hip attenuates Hedgehog signalling as a result of binding to Hedgehog proteins: a negative regulatory feedback loop established in this way could thus modulate the responses to any Hedgehog signal.
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                Author and article information

                Journal
                Hum Mol Genet
                hmg
                hmg
                Human Molecular Genetics
                Oxford University Press
                0964-6906
                1460-2083
                15 October 2011
                14 July 2011
                14 July 2011
                : 20
                : 20
                : 4069-4075
                Affiliations
                [1 ]MRC Centre for Causal Analyses in Translational Epidemiology and
                [2 ]ALSPAC, simpleSchool of Social & Community Medicine, University of Bristol , Oakfield House, Oakfield Grove, Bristol BS8 2BN, UK,
                [3 ]simpleSchool of Social & Community Medicine, University of Bristol , Canynge Hall, Whatley Road, Bristol BS8 2PS, UK and
                [4 ]Genetics of Complex Traits, simplePeninsula College of Medicine and Dentistry, University of Exeter , Magdalen Road, Exeter EX1 2LU, UK
                Author notes
                [* ]To whom correspondence should be addressed. Tel: +44 1173310135; Fax: +44 1173310123; Email: l.paternoster@ 123456bristol.ac.uk
                [†]

                The authors wish it to be known, that in their opinion the first two authors should be regarded as joint First Authors and the last two authors should be regarded as joint Last Authors.

                Article
                ddr309
                10.1093/hmg/ddr309
                3177650
                21757498
                b2090df3-2e74-4791-8f9c-b330fd15919f
                © The Author 2011. Published by Oxford University Press

                This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 4 May 2011
                : 4 May 2011
                : 12 July 2011
                Categories
                Association Studies Articles

                Genetics
                Genetics

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