Meta-analysis of genome-wide association data identifies two loci influencing age at menarche

André Uitterlinden and colleagues report loci at 9q31.2 and LIN28B associated with age at menarche from a meta-analysis of genome-wide association studies including 17,510 females from eight different population-based cohorts. We conducted a meta-analysis of genome-wide association data to detect ge...

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Vydané v:Nature genetics Ročník 41; číslo 6; s. 648 - 650
Hlavní autori: Perry, John R B, Stolk, Lisette, Franceschini, Nora, Lunetta, Kathryn L, Zhai, Guangju, McArdle, Patrick F, Smith, Albert V, Aspelund, Thor, Bandinelli, Stefania, Boerwinkle, Eric, Cherkas, Lynn, Eiriksdottir, Gudny, Estrada, Karol, Ferrucci, Luigi, Folsom, Aaron R, Garcia, Melissa, Gudnason, Vilmundur, Hofman, Albert, Karasik, David, Kiel, Douglas P, Launer, Lenore J, van Meurs, Joyce, Nalls, Michael A, Rivadeneira, Fernando, Shuldiner, Alan R, Singleton, Andrew, Soranzo, Nicole, Tanaka, Toshiko, Visser, Jenny A, Weedon, Michael N, Wilson, Scott G, Zhuang, Vivian, Streeten, Elizabeth A, Harris, Tamara B, Murray, Anna, Spector, Tim D, Demerath, Ellen W, Uitterlinden, André G, Murabito, Joanne M
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: New York Nature Publishing Group US 01.06.2009
Nature Publishing Group
Predmet:
Adolescent
Age
Age Factors
Agriculture
Animal Genetics and Genomics
Biological and medical sciences
Biomedical and Life Sciences
Biomedicine
Body Mass Index
brief-communication
Cancer Research
Child
Chromosome Mapping
Chromosomes
Chromosomes, Human, Pair 6 - genetics
Chromosomes, Human, Pair 8 - genetics
Chromosomes, Human, Pair 9 - genetics
Complications and side effects
DNA-Binding Proteins - genetics
Female
Females
Fundamental and applied biological sciences. Psychology
Gene Function
Genetic aspects
Genetic variance
Genetic Variation
Genetics
Genetics of eukaryotes. Biological and molecular evolution
Genome-Wide Association Study
Genomics
Human Genetics
Humans
Menarche
Menarche - genetics
Menstruation
Meta-analysis
Meta-Analysis as Topic
Obesity
Polymorphism, Single Nucleotide
RNA-Binding Proteins
Sexual Maturation - genetics
Studies
Australia
Identification
Association
Locus
Age
Metaanalysis
ISSN:1061-4036, 1546-1718, 1546-1718
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Abstract André Uitterlinden and colleagues report loci at 9q31.2 and LIN28B associated with age at menarche from a meta-analysis of genome-wide association studies including 17,510 females from eight different population-based cohorts. We conducted a meta-analysis of genome-wide association data to detect genes influencing age at menarche in 17,510 women. The strongest signal was at 9q31.2 ( P = 1.7 × 10 −9 ), where the nearest genes include TMEM38B , FKTN , FSD1L , TAL2 and ZNF462 . The next best signal was near the LIN28B gene (rs7759938; P = 7.0 × 10 −9 ), which also influences adult height. We provide the first evidence for common genetic variants influencing female sexual maturation.
AbstractList We conducted a meta-analysis of genome-wide association data to detect genes influencing age at menarche in 17,510 women. The strongest signal was at 9q31.2 (P = 1.7 × 10(-9)), where the nearest genes include TMEM38B, FKTN, FSD1L, TAL2 and ZNF462. The next best signal was near the LIN28B gene (rs7759938; P = 7.0 × 10(-9)), which also influences adult height. We provide the first evidence for common genetic variants influencing female sexual maturation.We conducted a meta-analysis of genome-wide association data to detect genes influencing age at menarche in 17,510 women. The strongest signal was at 9q31.2 (P = 1.7 × 10(-9)), where the nearest genes include TMEM38B, FKTN, FSD1L, TAL2 and ZNF462. The next best signal was near the LIN28B gene (rs7759938; P = 7.0 × 10(-9)), which also influences adult height. We provide the first evidence for common genetic variants influencing female sexual maturation.
We conducted a meta-analysis of genome-wide association data to detect genes influencing age at menarche in 17,510 women. The strongest signal was at 9q31.2 (P = 1.7 x [10.sup.-9]), where the nearest genes include TMEM38B, FKTN, FSD1L, TAL2 and ZNF462. The next best signal was near the LIN28B gene (rs7759938; P = 7.0 x [10.sup.-9]), which also influences adult height. We provide the first evidence for common genetic variants influencing female sexual maturation.
We conducted a meta-analysis of genome-wide association data to detect genes influencing age at menarche in 17,510 women. The strongest signal was at 9q31.2 (P = 1.7 [math] 10 super(-9)), where the nearest genes include TMEM38B, FKTN, FSD1L, TAL2 and ZNF462. The next best signal was near the LIN28B gene (rs7759938; P = 7.0 [math] 10 super(-9)), which also influences adult height. We provide the first evidence for common genetic variants influencing female sexual maturation.
We conducted a meta-analysis of genome-wide association data to detect genes influencing age at menarche in 17,510 women. The strongest signal was at 9q31.2 (P = 1.7 × 10(-9)), where the nearest genes include TMEM38B, FKTN, FSD1L, TAL2 and ZNF462. The next best signal was near the LIN28B gene (rs7759938; P = 7.0 × 10(-9)), which also influences adult height. We provide the first evidence for common genetic variants influencing female sexual maturation.
We conducted a meta-analysis of genome-wide association data to detect genes influencing age at menarche in 17,510 women. The strongest signal was at 9q31.2 (P = 1.7 × 10−9), where the nearest genes include TMEM38B, FKTN, FSD1L, TAL2 and ZNF462. The next best signal was near the LIN28B gene (rs7759938; P = 7.0 × 10−9), which also influences adult height. We provide the first evidence for common genetic variants influencing female sexual maturation.
We conducted a meta-analysis of genome-wide association data to detect genes influencing age at menarche in 17,510 women. The strongest signal was at 9q31.2 (P = 1.7 × 10^sup -9^), where the nearest genes include TMEM38B, FKTN, FSD1L, TAL2 and ZNF462. The next best signal was near the LIN28B gene (rs7759938; P = 7.0 × 10^sup -9^), which also influences adult height. We provide the first evidence for common genetic variants influencing female sexual maturation. [PUBLICATION ABSTRACT]
André Uitterlinden and colleagues report loci at 9q31.2 and LIN28B associated with age at menarche from a meta-analysis of genome-wide association studies including 17,510 females from eight different population-based cohorts. We conducted a meta-analysis of genome-wide association data to detect genes influencing age at menarche in 17,510 women. The strongest signal was at 9q31.2 ( P = 1.7 × 10 −9 ), where the nearest genes include TMEM38B , FKTN , FSD1L , TAL2 and ZNF462 . The next best signal was near the LIN28B gene (rs7759938; P = 7.0 × 10 −9 ), which also influences adult height. We provide the first evidence for common genetic variants influencing female sexual maturation.
Audience Academic
Author Weedon, Michael N
Uitterlinden, André G
Estrada, Karol
Hofman, Albert
Murray, Anna
Folsom, Aaron R
McArdle, Patrick F
Gudnason, Vilmundur
Streeten, Elizabeth A
Demerath, Ellen W
Harris, Tamara B
Boerwinkle, Eric
Franceschini, Nora
Stolk, Lisette
Zhai, Guangju
van Meurs, Joyce
Nalls, Michael A
Rivadeneira, Fernando
Visser, Jenny A
Ferrucci, Luigi
Aspelund, Thor
Tanaka, Toshiko
Bandinelli, Stefania
Garcia, Melissa
Eiriksdottir, Gudny
Singleton, Andrew
Zhuang, Vivian
Murabito, Joanne M
Smith, Albert V
Launer, Lenore J
Kiel, Douglas P
Cherkas, Lynn
Spector, Tim D
Lunetta, Kathryn L
Karasik, David
Perry, John R B
Shuldiner, Alan R
Soranzo, Nicole
Wilson, Scott G
AuthorAffiliation 7 Department of Biostatistics, Boston University School of Public Health, Boston, Massachusetts, USA
13 Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, USA
9 Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland, USA
18 Laboratory of Neurogenetics, National Institute of Aging, Bethesda, Maryland, USA
15 Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, Minnesota, USA
20 Medstar Research Institute, National Institute on Aging, Baltimore, Maryland, USA
22 Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA
12 Geriatric Unit, Azienda Sanitaria di Firenze, Florence, Italy
3 Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
14 Longitudinal Studies Section, Clinical Research Branch, National Institute on Aging, Baltimore, Maryland, USA
2 Department
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– name: 12 Geriatric Unit, Azienda Sanitaria di Firenze, Florence, Italy
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– name: 21 School of Medicine & Pharmacology, University of Western Australia and Department of Endocrinology & Diabetes, Sir Charles Gairdner Hospital, Nedlands, Western Australia, Australia
– name: 4 Netherlands Genomics Initiative–sponsored Netherlands Consortium for Healthy Aging (NGI-NCHA)
– name: 5 Department of Epidemiology, University of North Carolina Gillings School of Global Public Health, Chapel Hill, North Carolina, USA
– name: 11 University of Iceland, Reykjavik, Iceland
– name: 22 Section of General Internal Medicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts, USA
– name: 9 Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, Maryland, USA
– name: 3 Department of Epidemiology, Erasmus MC, Rotterdam, The Netherlands
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– name: 8 Department of Twin Research & Genetic Epidemiology, King’s College London, London, UK
– name: 17 Hebrew SeniorLife Institute for Aging Research and Harvard Medical School, Boston, Massachusetts, USA
– name: 6 The National Heart, Lung and Blood Institute’s Framingham Heart Study, Framingham, Massachusetts, USA
– name: 14 Longitudinal Studies Section, Clinical Research Branch, National Institute on Aging, Baltimore, Maryland, USA
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– name: 16 Laboratory of Epidemiology, Demography, and Biometry, Intramural Research Program, National Institute on Aging, Bethesda, Maryland, USA
– name: 2 Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands
– name: 20 Medstar Research Institute, National Institute on Aging, Baltimore, Maryland, USA
– name: 13 Human Genetics Center, University of Texas Health Science Center at Houston, Houston, Texas, USA
– name: 1 Institute of Biomedical and Clinical Science, Peninsula Medical School, Exeter, UK
– name: 19 Wellcome Trust Sanger Institute, Hinxton, Cambridge, UK
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References LettreGNat. Genet.2008405845911:CAS:528:DC%2BD1cXltFylu70%3D10.1038/ng.125
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– reference: BosettiCTavaniANegriETrichopoulosDLa VecchiaCJ. Clin. Epidemiol.2001549029061:STN:280:DC%2BD3Mvnslehug%3D%3D10.1016/S0895-4356(01)00362-6
– reference: HarrisMAPriorJCKoehoornMJ. Adolesc. Health20084354855410.1016/j.jadohealth.2008.07.017
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Snippet André Uitterlinden and colleagues report loci at 9q31.2 and LIN28B associated with age at menarche from a meta-analysis of genome-wide association studies...
We conducted a meta-analysis of genome-wide association data to detect genes influencing age at menarche in 17,510 women. The strongest signal was at 9q31.2 (P...
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StartPage 648
SubjectTerms Adolescent
Age
Age Factors
Agriculture
Animal Genetics and Genomics
Biological and medical sciences
Biomedical and Life Sciences
Biomedicine
Body Mass Index
brief-communication
Cancer Research
Child
Chromosome Mapping
Chromosomes
Chromosomes, Human, Pair 6 - genetics
Chromosomes, Human, Pair 8 - genetics
Chromosomes, Human, Pair 9 - genetics
Complications and side effects
DNA-Binding Proteins - genetics
Female
Females
Fundamental and applied biological sciences. Psychology
Gene Function
Genetic aspects
Genetic variance
Genetic Variation
Genetics
Genetics of eukaryotes. Biological and molecular evolution
Genome-Wide Association Study
Genomics
Human Genetics
Humans
Menarche
Menarche - genetics
Menstruation
Meta-analysis
Meta-Analysis as Topic
Obesity
Polymorphism, Single Nucleotide
RNA-Binding Proteins
Sexual Maturation - genetics
Studies
Title Meta-analysis of genome-wide association data identifies two loci influencing age at menarche
URI https://link.springer.com/article/10.1038/ng.386
https://www.ncbi.nlm.nih.gov/pubmed/19448620
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Volume 41
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