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 inNature genetics Vol. 40; no. 5; pp. 584 - 591
Main Authors Lettre, Guillaume, Jackson, Anne U, Gieger, Christian, Schumacher, Fredrick R, Berndt, Sonja I, Sanna, Serena, Eyheramendy, Susana, Voight, Benjamin F, Butler, Johannah L, Guiducci, Candace, Illig, Thomas, Hackett, Rachel, Heid, Iris M, Jacobs, Kevin B, Lyssenko, Valeriya, Uda, Manuela, Boehnke, Michael, Chanock, Stephen J, Groop, Leif C, Hu, Frank B, Isomaa, Bo, Kraft, Peter, Peltonen, Leena, Salomaa, Veikko, Schlessinger, David, Hunter, David J, Hayes, Richard B, Abecasis, Gonçalo R, Wichmann, H-Erich, Mohlke, Karen L, Hirschhorn, Joel N
Format Journal Article
LanguageEnglish
Published New York Nature Publishing Group US 01.05.2008
Nature Publishing Group
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Online AccessGet full text
ISSN1061-4036
1546-1718
1546-1718
DOI10.1038/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
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– notice: Copyright Nature Publishing Group May 2008
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The Diabetes Genetics Initiative
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The Nurses' Health Study
Diabetes Genetics Initiative
Nurses' Health Study
Prostate, Lung Colorectal and Ovarian Cancer Screening Trial
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Faculty of Medicine
Lunds universitet
Translational Muscle Research
Department of Clinical Sciences, Malmö
Medicinska fakulteten
Lund University
Institutionen för kliniska vetenskaper, Malmö
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– name: Translational Muscle Research
– name: Medicinska fakulteten
– name: Translationell muskelforskning
– name: Lund University
– name: Institutionen för kliniska vetenskaper, Malmö
– name: Lunds universitet
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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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StartPage 584
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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