Identification of ten loci associated with height highlights new biological pathways in human growth
Height is a classic polygenic trait, reflecting the combined influence of multiple as-yet-undiscovered genetic factors. We carried out a meta-analysis of genome-wide association study data of height from 15,821 individuals at 2.2 million SNPs, and followed up the strongest findings in >10,000 sub...
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Published in | Nature genetics Vol. 40; no. 5; pp. 584 - 591 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
New York
Nature Publishing Group US
01.05.2008
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
ISSN | 1061-4036 1546-1718 1546-1718 |
DOI | 10.1038/ng.125 |
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Abstract | Height is a classic polygenic trait, reflecting the combined influence of multiple as-yet-undiscovered genetic factors. We carried out a meta-analysis of genome-wide association study data of height from 15,821 individuals at 2.2 million SNPs, and followed up the strongest findings in >10,000 subjects. Ten newly identified and two previously reported loci were strongly associated with variation in height (
P
values from 4 × 10
−7
to 8 × 10
−22
). Together, these 12 loci account for ∼2% of the population variation in height. Individuals with ≤8 height-increasing alleles and ≥16 height-increasing alleles differ in height by ∼3.5 cm. The newly identified loci, along with several additional loci with strongly suggestive associations, encompass both strong biological candidates and unexpected genes, and highlight several pathways (
let-7
targets, chromatin remodeling proteins and Hedgehog signaling) as important regulators of human stature. These results expand the picture of the biological regulation of human height and of the genetic architecture of this classical complex trait. |
---|---|
AbstractList | Height is a classic polygenic trait, reflecting the combined influence of multiple as-yet- undiscovered genetic factors. We carried out a meta-analysis of genome-wide association study data of height from 15,821 individuals at 2.2 million SNPs, and followed up the strongest findings in 410,000 subjects. Ten newly identified and two previously reported loci were strongly associated with variation in height (P values from 4 x 10(-7) to 8 x 10(-22)). Together, these 12 loci account for similar to 2% of the population variation in height. Individuals with <= 8 height-increasing alleles and >= 16 height-increasing alleles differ in height by similar to 3.5 cm. The newly identified loci, along with several additional loci with strongly suggestive associations, encompass both strong biological candidates and unexpected genes, and highlight several pathways (let-7 targets, chromatin remodeling proteins and Hedgehog signaling) as important regulators of human stature. These results expand the picture of the biological regulation of human height and of the genetic architecture of this classical complex trait. Height is a classic polygenic trait, reflecting the combined influence of multiple as-yet-undiscovered genetic factors. We carried out a meta-analysis of genome-wide association study data of height from 15,821 individuals at 2.2 million SNPs, and followed up the strongest findings in >10,000 subjects. ten newly identified and two previously reported loci were strongly associated with variation in height (P values from 4 [math] 10 super(- 7) to 8 [math] 10 super(- 22)). Together, these 12 loci account for [math]2% of the population variation in height. Individuals with [less]8 height-increasing alleles and [greater]16 height-increasing alleles differ in height by [math]3.5 cm. The newly identified loci, along with several additional loci with strongly suggestive associations, encompass both strong biological candidates and unexpected genes, and highlight several pathways (let-7 targets, chromatin remodeling proteins and Hedgehog signaling) as important regulators of human stature. These results expand the picture of the biological regulation of human height and of the genetic architecture of this classical complex trait. Height is a classic polygenic trait, reflecting the combined influence of multiple as-yet-undiscovered genetic factors. We carried out a meta-analysis of genome-wide association study data of height from 15,821 individuals at 2.2 million SNPs, and followed up the strongest findings in >10,000 subjects. Ten newly identified and two previously reported loci were strongly associated with variation in height (P values from 4 x 10(-7) to 8 x 10(-22)). Together, these 12 loci account for approximately 2% of the population variation in height. Individuals with < or =8 height-increasing alleles and > or =16 height-increasing alleles differ in height by approximately 3.5 cm. The newly identified loci, along with several additional loci with strongly suggestive associations, encompass both strong biological candidates and unexpected genes, and highlight several pathways (let-7 targets, chromatin remodeling proteins and Hedgehog signaling) as important regulators of human stature. These results expand the picture of the biological regulation of human height and of the genetic architecture of this classical complex trait. Height is a classic polygenic trait, reflecting the combined influence of multiple as-yet-undiscovered genetic factors. We carried out a meta-analysis of genome-wide association study data of height from 15,821 individuals at 2.2 million SNPs, and followed up the strongest findings in >10,000 subjects. Ten newly identified and two previously reported loci were strongly associated with variation in height ( P values from 4 × 10 -7 to 8 × 10 -22 ). Together, these 12 loci account for ~2% of the population variation in height. Individuals with ≤8 height-increasing alleles and ≥16 height-increasing alleles differ in height by ~3.5 cm. The newly identified loci, along with several additional loci with strongly suggestive associations, encompass both strong biological candidates and unexpected genes, and highlight several pathways ( let-7 targets, chromatin remodeling proteins and Hedgehog signaling) as important regulators of human stature. These results expand the picture of the biological regulation of human height and of the genetic architecture of this classical complex trait. Height is a classic polygenic trait, reflecting the combined influence of multiple as-yet-undiscovered genetic factors. We carried out a meta-analysis of genome-wide association study data of height from 15,821 individuals at 2.2 million SNPs, and followed up the strongest findings in >10,000 subjects. Ten newly identified and two previously reported loci were strongly associated with variation in height (P values from 4 × 10^sup -7^ to 8 × 10^sup -22^). Together, these 12 loci account for ~2% of the population variation in height. Individuals with ≤8 height-increasing alleles and ≥16 height-increasing alleles differ in height by ~3.5 cm. The newly identified loci, along with several additional loci with strongly suggestive associations, encompass both strong biological candidates and unexpected genes, and highlight several pathways (let-7 targets, chromatin remodeling proteins and Hedgehog signaling) as important regulators of human stature. These results expand the picture of the biological regulation of human height and of the genetic architecture of this classical complex trait. [PUBLICATION ABSTRACT] Height is a classic polygenic trait, reflecting the combined influence of multiple as-yet- undiscovered genetic factors. We carried out a meta-analysis of genome-wide association study data of height from 15,821 individuals at 2.2 million SNPs, and followed up the strongest findings in 410,000 subjects. Ten newly identified and two previously reported loci were strongly associated with variation in height (P values from 4 x 10(-7) to 8 x 10(-22)). Together, these 12 loci account for similar to 2% of the population variation in height. Individuals with <= 8 height-increasing alleles and >= 16 height-increasing alleles differ in height by similar to 3.5 cm. The newly identified loci, along with several additional loci with strongly suggestive associations, encompass both strong biological candidates and unexpected genes, and highlight several pathways (let-7 targets, chromatin remodeling proteins and Hedgehog signaling) as important regulators of human stature. These results expand the picture of the biologicalregulation of human height and of the genetic architecture of this classical complex trait. Height is a classic polygenic trait, reflecting the combined influence of multiple as-yet-undiscovered genetic factors. We carried out a meta-analysis of genome-wide association study data of height from 15,821 individuals at 2.2 million SNPs, and followed up the strongest findings in >10,000 subjects. Ten newly identified and two previously reported loci were strongly associated with variation in height (P values from 4 x 10(-7) to 8 x 10(-22)). Together, these 12 loci account for approximately 2% of the population variation in height. Individuals with < or =8 height-increasing alleles and > or =16 height-increasing alleles differ in height by approximately 3.5 cm. The newly identified loci, along with several additional loci with strongly suggestive associations, encompass both strong biological candidates and unexpected genes, and highlight several pathways (let-7 targets, chromatin remodeling proteins and Hedgehog signaling) as important regulators of human stature. These results expand the picture of the biological regulation of human height and of the genetic architecture of this classical complex trait.Height is a classic polygenic trait, reflecting the combined influence of multiple as-yet-undiscovered genetic factors. We carried out a meta-analysis of genome-wide association study data of height from 15,821 individuals at 2.2 million SNPs, and followed up the strongest findings in >10,000 subjects. Ten newly identified and two previously reported loci were strongly associated with variation in height (P values from 4 x 10(-7) to 8 x 10(-22)). Together, these 12 loci account for approximately 2% of the population variation in height. Individuals with < or =8 height-increasing alleles and > or =16 height-increasing alleles differ in height by approximately 3.5 cm. The newly identified loci, along with several additional loci with strongly suggestive associations, encompass both strong biological candidates and unexpected genes, and highlight several pathways (let-7 targets, chromatin remodeling proteins and Hedgehog signaling) as important regulators of human stature. These results expand the picture of the biological regulation of human height and of the genetic architecture of this classical complex trait. Height is a classic polygenic trait, reflecting the combined influence of multiple as-yet-undiscovered genetic factors. We carried out a meta-analysis of genome-wide association study data of height from 15,821 individuals at 2.2 million SNPs, and followed up the strongest findings in >10,000 subjects. Ten newly identified and two previously reported loci were strongly associated with variation in height ( P values from 4 × 10 −7 to 8 × 10 −22 ). Together, these 12 loci account for ∼2% of the population variation in height. Individuals with ≤8 height-increasing alleles and ≥16 height-increasing alleles differ in height by ∼3.5 cm. The newly identified loci, along with several additional loci with strongly suggestive associations, encompass both strong biological candidates and unexpected genes, and highlight several pathways ( let-7 targets, chromatin remodeling proteins and Hedgehog signaling) as important regulators of human stature. These results expand the picture of the biological regulation of human height and of the genetic architecture of this classical complex trait. |
Audience | Academic |
Author | Hu, Frank B Schumacher, Fredrick R Boehnke, Michael Mohlke, Karen L Schlessinger, David Illig, Thomas Hirschhorn, Joel N Hackett, Rachel Sanna, Serena Butler, Johannah L Voight, Benjamin F Lyssenko, Valeriya Hayes, Richard B Berndt, Sonja I Heid, Iris M Gieger, Christian Salomaa, Veikko Uda, Manuela Groop, Leif C Jacobs, Kevin B Isomaa, Bo Jackson, Anne U Guiducci, Candace Lettre, Guillaume Chanock, Stephen J Kraft, Peter Wichmann, H-Erich Peltonen, Leena Eyheramendy, Susana Hunter, David J Abecasis, Gonçalo R |
AuthorAffiliation | 12 Department of Clinical Sciences, Diabetes and Endocrinology, University Hospital Malmö, Lund University, 205 02 Malmö, Sweden 18 Wellcome Trust Sanger Institute, Hinxton CB10 1SA, UK 22 Department of Genetics, University of North Carolina, Chapel Hill, North Carolina 27599, USA 19 Department of Molecular Medicine, National Public Health Institute and Department of Medical Genetics, University of Helsinki, FI-00014 Helsinki, Finland 21 Gerontology Research Center, National Institute on Aging, 5600 Nathan Shock Drive, Baltimore, Maryland 21224, USA 6 Channing Laboratory, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA 5 Department of Epidemiology, Institute of Medical Informatics, Biometry and Epidemiology, University of Munich, 81377 Munich, Germany 15 Department of Nutrition, Harvard School of Public Health, Boston, Massachusetts, USA 3 Center for Statistical Genetics, Department of Biostatistics, University of Michigan, Ann |
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ContentType | Journal Article |
Copyright | Springer Nature America, Inc. 2008 2008 INIST-CNRS COPYRIGHT 2008 Nature Publishing Group Copyright Nature Publishing Group May 2008 |
Copyright_xml | – notice: Springer Nature America, Inc. 2008 – notice: 2008 INIST-CNRS – notice: COPYRIGHT 2008 Nature Publishing Group – notice: Copyright Nature Publishing Group May 2008 |
CorporateAuthor | KORA The Diabetes Genetics Initiative FUSION SardiNIA The Prostate, Lung Colorectal and Ovarian Cancer Screening Trial The Nurses' Health Study Diabetes Genetics Initiative Nurses' Health Study Prostate, Lung Colorectal and Ovarian Cancer Screening Trial Translationell muskelforskning Faculty of Medicine Lunds universitet Translational Muscle Research Department of Clinical Sciences, Malmö Medicinska fakulteten Lund University Institutionen för kliniska vetenskaper, Malmö |
CorporateAuthor_xml | – name: SardiNIA – name: FUSION – name: The Nurses' Health Study – name: KORA – name: The Diabetes Genetics Initiative – name: The Prostate, Lung Colorectal and Ovarian Cancer Screening Trial – name: Prostate, Lung Colorectal and Ovarian Cancer Screening Trial – name: Diabetes Genetics Initiative – name: Nurses' Health Study – name: Faculty of Medicine – name: Translational Muscle Research – name: Medicinska fakulteten – name: Translationell muskelforskning – name: Lund University – name: Institutionen för kliniska vetenskaper, Malmö – name: Lunds universitet – name: Department of Clinical Sciences, Malmö |
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DOI | 10.1038/ng.125 |
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Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Feature-1 content type line 23 These authors contributed equally to this work. G.L., A.U.J., C. Gieger., F.R.S., S.I.B., S.S., S.E. and B.F.V. performed analyses. G.L. performed the meta-analysis and selected markers for follow-up. J.L.B., C. Guiducci, T.I. and R.H. genotyped markers in some of the follow-up panels. G.L. and J.N.H. wrote the manuscript, with inputs from the other authors, especially M.B. and S.I.B. V.L., L.C.G., B.I. and J.N.H. are investigators of the DGI and Botnia studies. L.P. and V.S. are investigators of the FINRISK97 study. M.U., D.S. and G.R.A. are investigators of the SardiNIA study. K.B.J., S.J.C. and R.B.H. are investigators of the PLCO study. I.M.H. and H.-E.W. are investigators of the KORA study. M.B. and K.L.M. are investigators of the FUSION study. F.B.H., P.K. and D.J.H. are investigators of the NHS. D.J.H, R.B.H., G.R.A., H.-E.W., K.L.M. and J.N.H. led this study. All authors read and approved the final manuscript. A full list of authors and affiliations appears in the Supplementary Note online AUTHOR CONTRIBUTIONS |
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Snippet | Height is a classic polygenic trait, reflecting the combined influence of multiple as-yet-undiscovered genetic factors. We carried out a meta-analysis of... Height is a classic polygenic trait, reflecting the combined influence of multiple as-yet- undiscovered genetic factors. We carried out a meta-analysis of... |
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SubjectTerms | Agriculture Animal Genetics and Genomics Biological and medical sciences Biomedical and Life Sciences Biomedical research Biomedicine Body Height - genetics Cancer Cancer Research Chromatin remodeling Clinical Medicine Diabetes Endocrinology and Diabetes Endokrinologi och diabetes Fundamental and applied biological sciences. Psychology Gene Function Gene loci Genetic aspects Genetic factors Genetic Linkage Genetic variation Genetics Genetics of eukaryotes. Biological and molecular evolution Genome, Human Hedgehog protein Height Human Genetics Humans Identification and classification Klinisk medicin Medical and Health Sciences Medicin och hälsovetenskap Meta-analysis Physical growth Physiological aspects Polygenic inheritance Polymorphism, Single Nucleotide Quantitative trait loci Reviews Sample size Signal transduction Single-nucleotide polymorphism Stature Studies |
Title | Identification of ten loci associated with height highlights new biological pathways in human growth |
URI | https://link.springer.com/article/10.1038/ng.125 https://www.ncbi.nlm.nih.gov/pubmed/18391950 https://www.proquest.com/docview/222648998 https://www.proquest.com/docview/20778272 https://www.proquest.com/docview/69151096 https://pubmed.ncbi.nlm.nih.gov/PMC2687076 https://lup.lub.lu.se/record/1205108 oai:portal.research.lu.se:publications/ce9240ff-d437-4665-8a68-9402c329cdfd |
Volume | 40 |
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