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1. Genomic analyses identify hundreds of variants associated with age at menarche and support a role for puberty timing in cancer risk.

Author

Day FR, Thompson DJ, Helgason H, Chasman DI, Finucane H, Sulem P, Ruth KS, Whalen S, Sarkar AK, Albrecht E, Altmaier E, Amini M, Barbieri CM, Boutin T, Campbell A, Demerath E, Giri A, He C, Hottenga JJ, Karlsson R, Kolcic I, Loh PR, Lunetta KL, Mangino M, Marco B, McMahon G, Medland SE, Nolte IM, Noordam R, Nutile T, Paternoster L, Perjakova N, Porcu E, Rose LM, Schraut KE, Segrè AV, Smith AV, Stolk L, Teumer A, Andrulis IL, Bandinelli S, Beckmann MW, Benitez J, Bergmann S, Bochud M, Boerwinkle E, Bojesen SE, Bolla MK, Brand JS, Brauch H, Brenner H, Broer L, Brüning T, Buring JE, Campbell H, Catamo E, Chanock S, Chenevix-Trench G, Corre T, Couch FJ, Cousminer DL, Cox A, Crisponi L, Czene K, Davey Smith G, de Geus EJCN, de Mutsert R, De Vivo I, Dennis J, Devilee P, Dos-Santos-Silva I, Dunning AM, Eriksson JG, Fasching PA, Fernández-Rhodes L, Ferrucci L, Flesch-Janys D, Franke L, Gabrielson M, Gandin I, Giles GG, Grallert H, Gudbjartsson DF, Guénel P, Hall P, Hallberg E, Hamann U, Harris TB, Hartman CA, Heiss G, Hooning MJ, Hopper JL, Hu F, Hunter DJ, Ikram MA, Im HK, Järvelin MR, Joshi PK, Karasik D, Kellis M, Kutalik Z, LaChance G, Lambrechts D, Langenberg C, Launer LJ, Laven JSE, Lenarduzzi S, Li J, Lind PA, Lindstrom S, Liu Y, Luan J, Mägi R, Mannermaa A, Mbarek H, McCarthy MI, Meisinger C, Meitinger T, Menni C, Metspalu A, Michailidou K, Milani L, Milne RL, Montgomery GW, Mulligan AM, Nalls MA, Navarro P, Nevanlinna H, Nyholt DR, Oldehinkel AJ, O'Mara TA, Padmanabhan S, Palotie A, Pedersen N, Peters A, Peto J, Pharoah PDP, Pouta A, Radice P, Rahman I, Ring SM, Robino A, Rosendaal FR, Rudan I, Rueedi R, Ruggiero D, Sala CF, Schmidt MK, Scott RA, Shah M, Sorice R, Southey MC, Sovio U, Stampfer M, Steri M, Strauch K, Tanaka T, Tikkanen E, Timpson NJ, Traglia M, Truong T, Tyrer JP, Uitterlinden AG, Edwards DRV, Vitart V, Völker U, Vollenweider P, Wang Q, Widen E, van Dijk KW, Willemsen G, Winqvist R, Wolffenbuttel BHR, Zhao JH, Zoledziewska M, Zygmunt M, Alizadeh BZ, Boomsma DI, Ciullo M, Cucca F, Esko T, Franceschini N, Gieger C, Gudnason V, Hayward C, Kraft P, Lawlor DA, Magnusson PKE, Martin NG, Mook-Kanamori DO, Nohr EA, Polasek O, Porteous D, Price AL, Ridker PM, Snieder H, Spector TD, Stöckl D, Toniolo D, Ulivi S, Visser JA, Völzke H, Wareham NJ, Wilson JF, Spurdle AB, Thorsteindottir U, Pollard KS, Easton DF, Tung JY, Chang-Claude J, Hinds D, Murray A, Murabito JM, Stefansson K, Ong KK, and Perry JRB

Subjects
Adolescent, Age Factors, Body Mass Index, Calcium-Binding Proteins, Databases, Genetic, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Genomic Imprinting, Humans, Male, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk Factors, Ubiquitin-Protein Ligases, Intercellular Signaling Peptides and Proteins genetics, Membrane Proteins genetics, Menarche genetics, Neoplasms genetics, Puberty genetics, Ribonucleoproteins genetics
Abstract

The timing of puberty is a highly polygenic childhood trait that is epidemiologically associated with various adult diseases. Using 1000 Genomes Project-imputed genotype data in up to ∼370,000 women, we identify 389 independent signals (P < 5 × 10 -8 ) for age at menarche, a milestone in female pubertal development. In Icelandic data, these signals explain ∼7.4% of the population variance in age at menarche, corresponding to ∼25% of the estimated heritability. We implicate ∼250 genes via coding variation or associated expression, demonstrating significant enrichment in neural tissues. Rare variants near the imprinted genes MKRN3 and DLK1 were identified, exhibiting large effects when paternally inherited. Mendelian randomization analyses suggest causal inverse associations, independent of body mass index (BMI), between puberty timing and risks for breast and endometrial cancers in women and prostate cancer in men. In aggregate, our findings highlight the complexity of the genetic regulation of puberty timing and support causal links with cancer susceptibility.

Published
2017
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2. Rare coding variants and X-linked loci associated with age at menarche.

Author

Lunetta KL, Day FR, Sulem P, Ruth KS, Tung JY, Hinds DA, Esko T, Elks CE, Altmaier E, He C, Huffman JE, Mihailov E, Porcu E, Robino A, Rose LM, Schick UM, Stolk L, Teumer A, Thompson DJ, Traglia M, Wang CA, Yerges-Armstrong LM, Antoniou AC, Barbieri C, Coviello AD, Cucca F, Demerath EW, Dunning AM, Gandin I, Grove ML, Gudbjartsson DF, Hocking LJ, Hofman A, Huang J, Jackson RD, Karasik D, Kriebel J, Lange EM, Lange LA, Langenberg C, Li X, Luan J, Mägi R, Morrison AC, Padmanabhan S, Pirie A, Polasek O, Porteous D, Reiner AP, Rivadeneira F, Rudan I, Sala CF, Schlessinger D, Scott RA, Stöckl D, Visser JA, Völker U, Vozzi D, Wilson JG, Zygmunt M, Boerwinkle E, Buring JE, Crisponi L, Easton DF, Hayward C, Hu FB, Liu S, Metspalu A, Pennell CE, Ridker PM, Strauch K, Streeten EA, Toniolo D, Uitterlinden AG, Ulivi S, Völzke H, Wareham NJ, Wellons M, Franceschini N, Chasman DI, Thorsteinsdottir U, Murray A, Stefansson K, Murabito JM, Ong KK, and Perry JR

Subjects
Adolescent, Adult, Age Factors, Aged, Amides, Cell Cycle Proteins, Chromosomes, Human, X genetics, Codon, Nonsense, Energy Metabolism genetics, Fatty Acids, Female, Gene Frequency, Genes, X-Linked genetics, Genetic Variation, Genotype, Humans, Hypogonadism genetics, Middle Aged, Mutation, Missense, Penetrance, Phenotype, RNA Interference, Signal Transduction genetics, White People genetics, Young Adult, AMP-Activated Protein Kinases genetics, Autoantigens genetics, Immunoglobulins genetics, Laminin genetics, Membrane Proteins genetics, Menarche genetics, Proteins genetics, RNA-Binding Proteins genetics, Receptors, Neurokinin-3 genetics
Abstract

More than 100 loci have been identified for age at menarche by genome-wide association studies; however, collectively these explain only ∼3% of the trait variance. Here we test two overlooked sources of variation in 192,974 European ancestry women: low-frequency protein-coding variants and X-chromosome variants. Five missense/nonsense variants (in ALMS1/LAMB2/TNRC6A/TACR3/PRKAG1) are associated with age at menarche (minor allele frequencies 0.08-4.6%; effect sizes 0.08-1.25 years per allele; P<5 × 10(-8)). In addition, we identify common X-chromosome loci at IGSF1 (rs762080, P=9.4 × 10(-13)) and FAAH2 (rs5914101, P=4.9 × 10(-10)). Highlighted genes implicate cellular energy homeostasis, post-transcriptional gene silencing and fatty-acid amide signalling. A frequently reported mutation in TACR3 for idiopathic hypogonatrophic hypogonadism (p.W275X) is associated with 1.25-year-later menarche (P=2.8 × 10(-11)), illustrating the utility of population studies to estimate the penetrance of reportedly pathogenic mutations. Collectively, these novel variants explain ∼0.5% variance, indicating that these overlooked sources of variation do not substantially explain the 'missing heritability' of this complex trait.

Published
2015
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3. Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche.

Author

Perry JR, Day F, Elks CE, Sulem P, Thompson DJ, Ferreira T, He C, Chasman DI, Esko T, Thorleifsson G, Albrecht E, Ang WQ, Corre T, Cousminer DL, Feenstra B, Franceschini N, Ganna A, Johnson AD, Kjellqvist S, Lunetta KL, McMahon G, Nolte IM, Paternoster L, Porcu E, Smith AV, Stolk L, Teumer A, Tšernikova N, Tikkanen E, Ulivi S, Wagner EK, Amin N, Bierut LJ, Byrne EM, Hottenga JJ, Koller DL, Mangino M, Pers TH, Yerges-Armstrong LM, Zhao JH, Andrulis IL, Anton-Culver H, Atsma F, Bandinelli S, Beckmann MW, Benitez J, Blomqvist C, Bojesen SE, Bolla MK, Bonanni B, Brauch H, Brenner H, Buring JE, Chang-Claude J, Chanock S, Chen J, Chenevix-Trench G, Collée JM, Couch FJ, Couper D, Coveillo AD, Cox A, Czene K, D'adamo AP, Smith GD, De Vivo I, Demerath EW, Dennis J, Devilee P, Dieffenbach AK, Dunning AM, Eiriksdottir G, Eriksson JG, Fasching PA, Ferrucci L, Flesch-Janys D, Flyger H, Foroud T, Franke L, Garcia ME, García-Closas M, Geller F, de Geus EE, Giles GG, Gudbjartsson DF, Gudnason V, Guénel P, Guo S, Hall P, Hamann U, Haring R, Hartman CA, Heath AC, Hofman A, Hooning MJ, Hopper JL, Hu FB, Hunter DJ, Karasik D, Kiel DP, Knight JA, Kosma VM, Kutalik Z, Lai S, Lambrechts D, Lindblom A, Mägi R, Magnusson PK, Mannermaa A, Martin NG, Masson G, McArdle PF, McArdle WL, Melbye M, Michailidou K, Mihailov E, Milani L, Milne RL, Nevanlinna H, Neven P, Nohr EA, Oldehinkel AJ, Oostra BA, Palotie A, Peacock M, Pedersen NL, Peterlongo P, Peto J, Pharoah PD, Postma DS, Pouta A, Pylkäs K, Radice P, Ring S, Rivadeneira F, Robino A, Rose LM, Rudolph A, Salomaa V, Sanna S, Schlessinger D, Schmidt MK, Southey MC, Sovio U, Stampfer MJ, Stöckl D, Storniolo AM, Timpson NJ, Tyrer J, Visser JA, Vollenweider P, Völzke H, Waeber G, Waldenberger M, Wallaschofski H, Wang Q, Willemsen G, Winqvist R, Wolffenbuttel BH, Wright MJ, Boomsma DI, Econs MJ, Khaw KT, Loos RJ, McCarthy MI, Montgomery GW, Rice JP, Streeten EA, Thorsteinsdottir U, van Duijn CM, Alizadeh BZ, Bergmann S, Boerwinkle E, Boyd HA, Crisponi L, Gasparini P, Gieger C, Harris TB, Ingelsson E, Järvelin MR, Kraft P, Lawlor D, Metspalu A, Pennell CE, Ridker PM, Snieder H, Sørensen TI, Spector TD, Strachan DP, Uitterlinden AG, Wareham NJ, Widen E, Zygmunt M, Murray A, Easton DF, Stefansson K, Murabito JM, and Ong KK

Subjects
Adolescent, Age Factors, Body Mass Index, Breast Neoplasms genetics, Calcium-Binding Proteins, Cardiovascular Diseases genetics, Child, Diabetes Mellitus, Type 2 genetics, Europe ethnology, Female, Genome-Wide Association Study, Genomic Imprinting genetics, Humans, Hypothalamo-Hypophyseal System physiology, Intercellular Signaling Peptides and Proteins genetics, Male, Membrane Proteins genetics, Obesity genetics, Ovary physiology, Polymorphism, Single Nucleotide genetics, Potassium Channels, Tandem Pore Domain genetics, Proteins genetics, Quantitative Trait Loci genetics, Receptors, GABA-B metabolism, Receptors, Retinoic Acid metabolism, Ribonucleoproteins genetics, Ubiquitin-Protein Ligases, Alleles, Genetic Loci genetics, Menarche genetics, Parents
Abstract

Age at menarche is a marker of timing of puberty in females. It varies widely between individuals, is a heritable trait and is associated with risks for obesity, type 2 diabetes, cardiovascular disease, breast cancer and all-cause mortality. Studies of rare human disorders of puberty and animal models point to a complex hypothalamic-pituitary-hormonal regulation, but the mechanisms that determine pubertal timing and underlie its links to disease risk remain unclear. Here, using genome-wide and custom-genotyping arrays in up to 182,416 women of European descent from 57 studies, we found robust evidence (P < 5 × 10(-8)) for 123 signals at 106 genomic loci associated with age at menarche. Many loci were associated with other pubertal traits in both sexes, and there was substantial overlap with genes implicated in body mass index and various diseases, including rare disorders of puberty. Menarche signals were enriched in imprinted regions, with three loci (DLK1-WDR25, MKRN3-MAGEL2 and KCNK9) demonstrating parent-of-origin-specific associations concordant with known parental expression patterns. Pathway analyses implicated nuclear hormone receptors, particularly retinoic acid and γ-aminobutyric acid-B2 receptor signalling, among novel mechanisms that regulate pubertal timing in humans. Our findings suggest a genetic architecture involving at least hundreds of common variants in the coordinated timing of the pubertal transition.

Published
2014
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4. Association of adiposity genetic variants with menarche timing in 92,105 women of European descent.

Author

Fernández-Rhodes L, Demerath EW, Cousminer DL, Tao R, Dreyfus JG, Esko T, Smith AV, Gudnason V, Harris TB, Launer L, McArdle PF, Yerges-Armstrong LM, Elks CE, Strachan DP, Kutalik Z, Vollenweider P, Feenstra B, Boyd HA, Metspalu A, Mihailov E, Broer L, Zillikens MC, Oostra B, van Duijn CM, Lunetta KL, Perry JR, Murray A, Koller DL, Lai D, Corre T, Toniolo D, Albrecht E, Stöckl D, Grallert H, Gieger C, Hayward C, Polasek O, Rudan I, Wilson JF, He C, Kraft P, Hu FB, Hunter DJ, Hottenga JJ, Willemsen G, Boomsma DI, Byrne EM, Martin NG, Montgomery GW, Warrington NM, Pennell CE, Stolk L, Visser JA, Hofman A, Uitterlinden AG, Rivadeneira F, Lin P, Fisher SL, Bierut LJ, Crisponi L, Porcu E, Mangino M, Zhai G, Spector TD, Buring JE, Rose LM, Ridker PM, Poole C, Hirschhorn JN, Murabito JM, Chasman DI, Widen E, North KE, Ong KK, and Franceschini N

Subjects
Adolescent, Age Factors, Body Mass Index, Child, Female, Genetic Association Studies, Humans, Linkage Disequilibrium, Waist Circumference, Waist-Hip Ratio, Women's Health statistics & numerical data, Adiposity genetics, Menarche genetics, Obesity epidemiology, Obesity genetics, Polymorphism, Single Nucleotide, White People genetics
Abstract

Obesity is of global health concern. There are well-described inverse relationships between female pubertal timing and obesity. Recent genome-wide association studies of age at menarche identified several obesity-related variants. Using data from the ReproGen Consortium, we employed meta-analytical techniques to estimate the associations of 95 a priori and recently identified obesity-related (body mass index (weight (kg)/height (m)(2)), waist circumference, and waist:hip ratio) single-nucleotide polymorphisms (SNPs) with age at menarche in 92,116 women of European descent from 38 studies (1970-2010), in order to estimate associations between genetic variants associated with central or overall adiposity and pubertal timing in girls. Investigators in each study performed a separate analysis of associations between the selected SNPs and age at menarche (ages 9-17 years) using linear regression models and adjusting for birth year, site (as appropriate), and population stratification. Heterogeneity of effect-measure estimates was investigated using meta-regression. Six novel associations of body mass index loci with age at menarche were identified, and 11 adiposity loci previously reported to be associated with age at menarche were confirmed, but none of the central adiposity variants individually showed significant associations. These findings suggest complex genetic relationships between menarche and overall obesity, and to a lesser extent central obesity, in normal processes of growth and development.

Published
2013
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5. Reproductive aging-associated common genetic variants and the risk of breast cancer.

Author

He C, Chasman DI, Dreyfus J, Hwang SJ, Ruiter R, Sanna S, Buring JE, Fernández-Rhodes L, Franceschini N, Hankinson SE, Hofman A, Lunetta KL, Palmieri G, Porcu E, Rivadeneira F, Rose LM, Splansky GL, Stolk L, Uitterlinden AG, Chanock SJ, Crisponi L, Demerath EW, Murabito JM, Ridker PM, Stricker BH, and Hunter DJ

Subjects
Adolescent, Adult, Breast Neoplasms epidemiology, Case-Control Studies, Child, Female, Humans, Middle Aged, Risk Factors, White People genetics, Breast Neoplasms genetics, Menarche genetics, Menopause genetics, Polymorphism, Single Nucleotide
Abstract

Introduction: A younger age at menarche and an older age at menopause are well established risk factors for breast cancer. Recent genome-wide association studies have identified several novel genetic loci associated with these two traits. However, the association between these loci and breast cancer risk is unknown., Methods: In this study, we investigated 19 and 17 newly identified single nucleotide polymorphisms (SNPs) from the ReproGen Consortium that have been associated with age at menarche and age at natural menopause, respectively, and assessed their associations with breast cancer risk in 6 population-based studies among up to 3,683 breast cancer cases and 34,174 controls in white women of European ancestry. In addition, we used these SNPs to calculate genetic risk scores (GRSs) based on their associations with each trait., Results: After adjusting for age and potential population stratification, two age at menarche associated SNPs (rs1079866 and rs7821178) and one age at natural menopause associated SNP (rs2517388) were associated with breast cancer risk (p values, 0.003, 0.009 and 0.023, respectively). The odds ratios for breast cancer corresponding to per-risk-allele were 1.14 (95% CI, 1.05 to 1.24), 1.08 (95% CI, 1.02 to 1.15) and 1.10 (95% CI, 1.01 to 1.20), respectively, and were in the direction predicted by their associations with age at menarche or age at natural menopause. These associations did not appear to be attenuated by further controlling for self-reported age at menarche, age at natural menopause, or known breast cancer susceptibility loci. Although we did not observe a statistically significant association between any GRS for reproductive aging and breast cancer risk, the 4th and 5th highest quintiles of the younger age at menarche GRS had odds ratios of 1.14 (95% CI, 1.01 to 1.28) and 1.13 (95% CI, 1.00 to 1.27), respectively, compared to the lowest quintile., Conclusions: Our study suggests that three genetic variants, independent of their associations with age at menarche or age at natural menopause, were associated with breast cancer risk and may contribute modestly to breast cancer risk prediction; however, the combination of the 19 age at menarche or the 17 age at natural menopause associated SNPs did not appear to be useful for identifying a high risk subgroup for breast cancer.

Published
2012
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6. Thirty new loci for age at menarche identified by a meta-analysis of genome-wide association studies.

Author

Elks CE, Perry JR, Sulem P, Chasman DI, Franceschini N, He C, Lunetta KL, Visser JA, Byrne EM, Cousminer DL, Gudbjartsson DF, Esko T, Feenstra B, Hottenga JJ, Koller DL, Kutalik Z, Lin P, Mangino M, Marongiu M, McArdle PF, Smith AV, Stolk L, van Wingerden SH, Zhao JH, Albrecht E, Corre T, Ingelsson E, Hayward C, Magnusson PK, Smith EN, Ulivi S, Warrington NM, Zgaga L, Alavere H, Amin N, Aspelund T, Bandinelli S, Barroso I, Berenson GS, Bergmann S, Blackburn H, Boerwinkle E, Buring JE, Busonero F, Campbell H, Chanock SJ, Chen W, Cornelis MC, Couper D, Coviello AD, d'Adamo P, de Faire U, de Geus EJ, Deloukas P, Döring A, Smith GD, Easton DF, Eiriksdottir G, Emilsson V, Eriksson J, Ferrucci L, Folsom AR, Foroud T, Garcia M, Gasparini P, Geller F, Gieger C, Gudnason V, Hall P, Hankinson SE, Ferreli L, Heath AC, Hernandez DG, Hofman A, Hu FB, Illig T, Järvelin MR, Johnson AD, Karasik D, Khaw KT, Kiel DP, Kilpeläinen TO, Kolcic I, Kraft P, Launer LJ, Laven JS, Li S, Liu J, Levy D, Martin NG, McArdle WL, Melbye M, Mooser V, Murray JC, Murray SS, Nalls MA, Navarro P, Nelis M, Ness AR, Northstone K, Oostra BA, Peacock M, Palmer LJ, Palotie A, Paré G, Parker AN, Pedersen NL, Peltonen L, Pennell CE, Pharoah P, Polasek O, Plump AS, Pouta A, Porcu E, Rafnar T, Rice JP, Ring SM, Rivadeneira F, Rudan I, Sala C, Salomaa V, Sanna S, Schlessinger D, Schork NJ, Scuteri A, Segrè AV, Shuldiner AR, Soranzo N, Sovio U, Srinivasan SR, Strachan DP, Tammesoo ML, Tikkanen E, Toniolo D, Tsui K, Tryggvadottir L, Tyrer J, Uda M, van Dam RM, van Meurs JB, Vollenweider P, Waeber G, Wareham NJ, Waterworth DM, Weedon MN, Wichmann HE, Willemsen G, Wilson JF, Wright AF, Young L, Zhai G, Zhuang WV, Bierut LJ, Boomsma DI, Boyd HA, Crisponi L, Demerath EW, van Duijn CM, Econs MJ, Harris TB, Hunter DJ, Loos RJ, Metspalu A, Montgomery GW, Ridker PM, Spector TD, Streeten EA, Stefansson K, Thorsteinsdottir U, Uitterlinden AG, Widen E, Murabito JM, Ong KK, and Murray A

Subjects
Adolescent, Body Height genetics, Body Size genetics, Child, DNA Copy Number Variations genetics, Female, Genetic Predisposition to Disease, Humans, Inheritance Patterns genetics, Obesity genetics, Polymorphism, Single Nucleotide genetics, Quantitative Trait Loci genetics, Reproducibility of Results, Time Factors, Aging physiology, Genetic Loci genetics, Genome-Wide Association Study, Menarche genetics
Abstract

To identify loci for age at menarche, we performed a meta-analysis of 32 genome-wide association studies in 87,802 women of European descent, with replication in up to 14,731 women. In addition to the known loci at LIN28B (P = 5.4 × 10⁻⁶⁰) and 9q31.2 (P = 2.2 × 10⁻³³), we identified 30 new menarche loci (all P < 5 × 10⁻⁸) and found suggestive evidence for a further 10 loci (P < 1.9 × 10⁻⁶). The new loci included four previously associated with body mass index (in or near FTO, SEC16B, TRA2B and TMEM18), three in or near other genes implicated in energy homeostasis (BSX, CRTC1 and MCHR2) and three in or near genes implicated in hormonal regulation (INHBA, PCSK2 and RXRG). Ingenuity and gene-set enrichment pathway analyses identified coenzyme A and fatty acid biosynthesis as biological processes related to menarche timing.

Published
2010
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7. Meta-analysis of genome-wide association data identifies two loci influencing age at menarche.

Author

Perry JR, Stolk L, Franceschini N, Lunetta KL, Zhai G, McArdle PF, Smith AV, Aspelund T, Bandinelli S, Boerwinkle E, Cherkas L, Eiriksdottir G, Estrada K, Ferrucci L, Folsom AR, Garcia M, Gudnason V, Hofman A, Karasik D, Kiel DP, Launer LJ, van Meurs J, Nalls MA, Rivadeneira F, Shuldiner AR, Singleton A, Soranzo N, Tanaka T, Visser JA, Weedon MN, Wilson SG, Zhuang V, Streeten EA, Harris TB, Murray A, Spector TD, Demerath EW, Uitterlinden AG, and Murabito JM

Subjects
Adolescent, Age Factors, Body Mass Index, Child, Chromosome Mapping, Chromosomes, Human, Pair 6 genetics, Chromosomes, Human, Pair 8 genetics, DNA-Binding Proteins genetics, Female, Genetic Variation, Humans, Meta-Analysis as Topic, Polymorphism, Single Nucleotide, RNA-Binding Proteins, Sexual Maturation genetics, Chromosomes, Human, Pair 9 genetics, Genome-Wide Association Study, Menarche genetics
Abstract

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.

Published
2009
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8. Corrigendum: Rare coding variants and X-linked loci associated with age at menarche

Author

Lunetta, K.L., Day, F.R., Sulem, P., Ruth, K.S., Tung, J.Y., Hinds, D.A., Esko, T., Elks, C.E., Altmaier, E., He, C., Huffman, J.E., Mihailov, E., Porcu, E., Robino, A., Rose, L.M., Schick, U.M., Stolk, L., Teumer, A., Thompson, D.J., Traglia, M., Wang, C.A., Yerges-Armstrong, L.M., Antoniou, A.C., Barbieri, C., Coviello, A.D., Cucca, F., Demerath, E.W., Dunning, A.M., Gandin, I., Grove, M.L., Gudbjartsson, D.F., Hocking, L.J., Hofman, A., Huang, J., Jackson, R.D., Karasik, D., Kriebel, J., Lange, E.M., Lange, L.A., Langenberg, C., Li, X., Luan, J., Mägi, R., Morrison, A.C., Padmanabhan, S., Pirie, A., Polasek, O., Porteous, D.J., Reiner, A.P., Rivadeneira, F., Rudan, I., Sala, C.F., Schlessinger, D., Scott, R.A., Stöckl, D., Visser, J.A., Völker, U., Vozzi, D., Wilson, J.G., Zygmunt, M., EPIC-Interact Consortium (), Generation Scotland Consortium (), Boerwinkle, E., Buring, J.E., Crisponi, L., Easton, D.F., Hayward, C., Hu, F.B., Liu, S., Metspalu, A., Pennell, C.E., Ridker, P.M., Strauch, K., Streeten, E.A., Toniolo, D., Uitterlinden, A.G., Ulivi, S., Völzke, H., Wareham, N.J., Wellons, M., Franceschini, N., Chasman, D.I., Thorsteinsdottir, U., Murray, A., Stefansson, K., Murabito, J.M., Ong, K.K., and Perry, J.R.

Subjects
Adult, Adolescent, Genotype, Mutation, Missense, Immunoglobulins, Cell Cycle Proteins, Penetrance, AMP-Activated Protein Kinases, Autoantigens, White People, Young Adult, Gene Frequency, Genes, X-Linked, Humans, Aged, Menarche, Chromosomes, Human, X, Hypogonadism, Fatty Acids, Age Factors, Genetic Variation, Membrane Proteins, Proteins, RNA-Binding Proteins, Receptors, Neurokinin-3, Middle Aged, Corrigenda, Amides, Phenotype, Codon, Nonsense, Female, RNA Interference, Laminin, Energy Metabolism, Signal Transduction
Abstract

More than 100 loci have been identified for age at menarche by genome-wide association studies; however, collectively these explain only ∼3% of the trait variance. Here we test two overlooked sources of variation in 192,974 European ancestry women: low-frequency protein-coding variants and X-chromosome variants. Five missense/nonsense variants (in ALMS1/LAMB2/TNRC6A/TACR3/PRKAG1) are associated with age at menarche (minor allele frequencies 0.08-4.6%; effect sizes 0.08-1.25 years per allele; P5 × 10(-8)). In addition, we identify common X-chromosome loci at IGSF1 (rs762080, P=9.4 × 10(-13)) and FAAH2 (rs5914101, P=4.9 × 10(-10)). Highlighted genes implicate cellular energy homeostasis, post-transcriptional gene silencing and fatty-acid amide signalling. A frequently reported mutation in TACR3 for idiopathic hypogonatrophic hypogonadism (p.W275X) is associated with 1.25-year-later menarche (P=2.8 × 10(-11)), illustrating the utility of population studies to estimate the penetrance of reportedly pathogenic mutations. Collectively, these novel variants explain ∼0.5% variance, indicating that these overlooked sources of variation do not substantially explain the 'missing heritability' of this complex trait.

Published
2015

9. Genome-wide association and longitudinal analyses reveal genetic loci linking pubertal height growth, pubertal timing and childhood adiposity

Author

D. L. Cousminer, D. J. Berry, N. J. Timpson, W. Ang, E. Thiering, E. M. Byrne, H. R. Taal, V. Huikari, J. P. Bradfield, M. Kerkhof, M. M. Groen Blokhuis, E. Kreiner Moller, M. Marinelli, C. Holst, J. T. Leinonen, J. R. B. Perry, I. Surakka, O. Pietilainen, J. Kettunen, V. Anttila, M. Kaakinen, U. Sovio, A. Pouta, S. Das, V. Lagou, C. Power, I. Prokopenko, D. M. Evans, J. P. Kemp, B. St Pourcain, S. Ring, A. Palotie, E. Kajantie, C. Osmond, T. Lehtimaki, J. S. Viikari, M. Kahonen, N. M. Warrington, S. J. Lye, L. J. Palmer, C. M. T. Tiesler, C. Flexeder, G. W. Montgomery, S. E. Medland, A. Hofman, H. Hakonarson, M. Guxens, M. Bartels, V. Salomaa, J. M. Murabito, J. Kaprio, T. I. A. Sorensen, F. Ballester, H. Bisgaard, D. I. Boomsma, G. H. Koppelman, S. F. A. Grant, V. W. V. Jaddoe, N. G. Martin, J. Heinrich, C. E. Pennell, O. T. Raitakari, J. G. Eriksson, G. D. Smith, E. Hypponen, M. R. Jarvelin, M. I. McCarthy, S. Ripatti, E. Widen, Adair LS, Ang W, Atalay M, van Beijsterveldt T, Bergen N, Benke K, Berry DJ, Boomsma DI, Bradfield JP, Charoen P, Coin L, Cooper C, Cousminer DL, Das S, Davis OS, Dedoussis GV, Elliott P, Estivill X, Evans DM, Feenstra B, Flexeder C, Frayling T, Freathy RM, Gaillard R, Geller F, Gillman M, Grant SF, Groen Blokhuis M, Goh LK, Guxens M, Hakonarson H, Hattersley AT, Haworth CM, Hadley D, Hedebrand J, Heinrich J, Hinney A, Hirschhorn JN, Hocher B, Holloway JW, Holst C, Hottenga JJ, Horikoshi M, Huikari V, Hypponen E, Iñiguez C, Jaddoe VW, Jarvelin MR, Kaakinen M, Kilpeläinen TO, Kirin M, Kowgier M, Lakka HM, Lakka TA, Lange LA, Lawlor DA, Lehtimäki T, Lewin A, Lindgren C, Lindi V, Maggi R, Marsh J, McCarthy MI, Melbye M, Middeldorp C, Millwood I, Mohlke KL, Mook Kanamori DO, Murray JC, Nivard M, Nohr EA, Ntalla I, Oken E, Ong KK, O'Reilly PF, Palmer LJ, Panoutsopoulou K, Pararajasingham J, Pearson ER, Pennell CE, Power C, Price TS, Prokopenko I, Raitakari OT, Rodriguez A, Salem RM, Saw SM, Scherag A, Sebert S, Siitonen N, Simell O, Sørensen TI, Sovio U, Pourcain BS, Strachan DP, Sunyer J, Taal HR, Teo YY, Thiering E, Tiesler C, Timpson NJ, Uitterlinden AG, Valcárcel B, Warrington NM, White S, Widén E, Willemsen G, Wilson JF, Yaghootkar H, Zeggini E, Elks CE, Perry JR, Sulem P, Chasman DI, Franceschini N, He C, Lunetta KL, Visser JA, Byrne EM, Gudbjartsson DF, Esko T, Koller DL, Kutalik Z, Lin P, Mangino M, Marongiu M, McArdle PF, Smith AV, Stolk L, van Wingerden SH, Zhao JH, Albrecht E, Corre T, Ingelsson E, Hayward C, Magnusson PK, Smith EN, Ulivi S, Warrington M, Zgaga L, Alavere H, Amin N, Aspelund T, Bandinelli S, Barroso I, Berenson GS, Bergmann S, Blackburn H, Boerwinkle E, Buring JE, Busonero F, Campbell H, Chanock SJ, Chen W, Cornelis MC, Couper D, Coviello AD, de Faire U, de Geus EJ, Deloukas P, Döring A, Davey Smith G, Easton DF, Eiriksdottir G, Emilsson V, Eriksson J, Ferrucci L, Folsom AR, Foroud T, Garcia M, GASPARINI, PAOLO, Gieger C, Gudnason V, Hall P, Hankinson SE, Ferreli L, Heath AC, Hernandez DG, Hofman A, Hu FB, Illig T, Järvelin MR, Johnson AD, Karasik D, Khaw KT, Kiel DP, Kolcic I, Kraft P, Launer LJ, Laven JS, Li S, Liu J, Levy D, Martin NG, McArdle WL, Mooser V, Murray SS, Nalls MA, Navarro P, Nelis M, Ness AR, Northstone K, Oostra BA, Peacock M, Palotie A, Paré G, Parker AN, Pedersen NL, Peltonen L, Pharoah P, Polasek O, Plump AS, Pouta A, Porcu E, Rafnar T, Rice JP, Ring SM, Rivadeneira F, Rudan I, Sala C, Salomaa V, Sanna S, Schlessinger D, Schork NJ, Scuteri A, Segrè AV, Shuldiner AR, Soranzo N, Srinivasan SR, Tammesoo ML, Tikkanen E, Toniolo D, Tsui K, Tryggvadottir L, Tyrer J, Uda M, van Dam RM, van Meurs JB, Vollenweider P, Waeber G, Wareham NJ, Waterworth DM, Weedon MN, Wichmann HE, Wright AF, Young L, Zhai G, Zhuang WV, Bierut LJ, Boyd HA, Crisponi L, Demerath EW, van Duijn CM, Econs MJ, Harris TB, Hunter DJ, Loos RJ, Metspalu A, Montgomery GW, Ridker PM, Spector TD, Streeten EA, Stefansson K, Thorsteinsdottir U, Widen E, Murabito JM, Murray A., D'ADAMO, ADAMO PIO, Cousminer, Diana L, Berry, Diane J, Timpson, Nicholas J, Ang, Wei, Hyppönen, Elina, Widen, Elisabéth, ReproGen Consortium, Early Growth Genetics (EGG) Consortium, Pediatrics, Epidemiology, Internal Medicine, D. L., Cousminer, D. J., Berry, N. J., Timpson, W., Ang, E., Thiering, E. M., Byrne, H. R., Taal, V., Huikari, J. P., Bradfield, M., Kerkhof, M. M., Groen Blokhui, E., Kreiner Moller, M., Marinelli, C., Holst, J. T., Leinonen, J. R. B., Perry, I., Surakka, O., Pietilainen, J., Kettunen, V., Anttila, M., Kaakinen, U., Sovio, A., Pouta, S., Da, V., Lagou, C., Power, I., Prokopenko, D. M., Evan, J. P., Kemp, B., St Pourcain, S., Ring, A., Palotie, E., Kajantie, C., Osmond, T., Lehtimaki, J. S., Viikari, M., Kahonen, N. M., Warrington, S. J., Lye, L. J., Palmer, C. M. T., Tiesler, C., Flexeder, G. W., Montgomery, S. E., Medland, A., Hofman, H., Hakonarson, M., Guxen, M., Bartel, V., Salomaa, J. M., Murabito, J., Kaprio, T. I. A., Sorensen, F., Ballester, H., Bisgaard, D. I., Boomsma, G. H., Koppelman, S. F. A., Grant, V. W. V., Jaddoe, N. G., Martin, J., Heinrich, C. E., Pennell, O. T., Raitakari, J. G., Eriksson, G. D., Smith, E., Hypponen, M. R., Jarvelin, M. I., Mccarthy, S., Ripatti, E., Widen, Adair, L, Ang, W, Atalay, M, van Beijsterveldt, T, Bergen, N, Benke, K, Berry, Dj, Boomsma, Di, Bradfield, Jp, Charoen, P, Coin, L, Cooper, C, Cousminer, Dl, Das, S, Davis, O, Dedoussis, Gv, Elliott, P, Estivill, X, Evans, Dm, Feenstra, B, Flexeder, C, Frayling, T, Freathy, Rm, Gaillard, R, Geller, F, Gillman, M, Grant, Sf, Groen Blokhuis, M, Goh, Lk, Guxens, M, Hakonarson, H, Hattersley, At, Haworth, Cm, Hadley, D, Hedebrand, J, Heinrich, J, Hinney, A, Hirschhorn, Jn, Hocher, B, Holloway, Jw, Holst, C, Hottenga, Jj, Horikoshi, M, Huikari, V, Hypponen, E, Iñiguez, C, Jaddoe, Vw, Jarvelin, Mr, Kaakinen, M, Kilpeläinen, To, Kirin, M, Kowgier, M, Lakka, Hm, Lakka, Ta, Lange, La, Lawlor, Da, Lehtimäki, T, Lewin, A, Lindgren, C, Lindi, V, Maggi, R, Marsh, J, Mccarthy, Mi, Melbye, M, Middeldorp, C, Millwood, I, Mohlke, Kl, Mook Kanamori, Do, Murray, Jc, Nivard, M, Nohr, Ea, Ntalla, I, Oken, E, Ong, Kk, O'Reilly, Pf, Palmer, Lj, Panoutsopoulou, K, Pararajasingham, J, Pearson, Er, Pennell, Ce, Power, C, Price, T, Prokopenko, I, Raitakari, Ot, Rodriguez, A, Salem, Rm, Saw, Sm, Scherag, A, Sebert, S, Siitonen, N, Simell, O, Sørensen, Ti, Sovio, U, Pourcain, B, Strachan, Dp, Sunyer, J, Taal, Hr, Teo, Yy, Thiering, E, Tiesler, C, Timpson, Nj, Uitterlinden, Ag, Valcárcel, B, Warrington, Nm, White, S, Widén, E, Willemsen, G, Wilson, Jf, Yaghootkar, H, Zeggini, E, Elks, Ce, Perry, Jr, Sulem, P, Chasman, Di, Franceschini, N, He, C, Lunetta, Kl, Visser, Ja, Byrne, Em, Gudbjartsson, Df, Esko, T, Koller, Dl, Kutalik, Z, Lin, P, Mangino, M, Marongiu, M, Mcardle, Pf, Smith, Av, Stolk, L, van Wingerden, Sh, Zhao, Jh, Albrecht, E, Corre, T, Ingelsson, E, Hayward, C, Magnusson, Pk, Smith, En, Ulivi, S, Warrington, M, Zgaga, L, Alavere, H, Amin, N, Aspelund, T, Bandinelli, S, Barroso, I, Berenson, G, Bergmann, S, Blackburn, H, Boerwinkle, E, Buring, Je, Busonero, F, Campbell, H, Chanock, Sj, Chen, W, Cornelis, Mc, Couper, D, Coviello, Ad, D'Adamo, ADAMO PIO, de Faire, U, de Geus, Ej, Deloukas, P, Döring, A, Davey Smith, G, Easton, Df, Eiriksdottir, G, Emilsson, V, Eriksson, J, Ferrucci, L, Folsom, Ar, Foroud, T, Garcia, M, Gasparini, Paolo, Gieger, C, Gudnason, V, Hall, P, Hankinson, Se, Ferreli, L, Heath, Ac, Hernandez, Dg, Hofman, A, Hu, Fb, Illig, T, Järvelin, Mr, Johnson, Ad, Karasik, D, Khaw, Kt, Kiel, Dp, Kolcic, I, Kraft, P, Launer, Lj, Laven, J, Li, S, Liu, J, Levy, D, Martin, Ng, Mcardle, Wl, Mooser, V, Murray, S, Nalls, Ma, Navarro, P, Nelis, M, Ness, Ar, Northstone, K, Oostra, Ba, Peacock, M, Palotie, A, Paré, G, Parker, An, Pedersen, Nl, Peltonen, L, Pharoah, P, Polasek, O, Plump, A, Pouta, A, Porcu, E, Rafnar, T, Rice, Jp, Ring, Sm, Rivadeneira, F, Rudan, I, Sala, C, Salomaa, V, Sanna, S, Schlessinger, D, Schork, Nj, Scuteri, A, Segrè, Av, Shuldiner, Ar, Soranzo, N, Srinivasan, Sr, Tammesoo, Ml, Tikkanen, E, Toniolo, D, Tsui, K, Tryggvadottir, L, Tyrer, J, Uda, M, van Dam, Rm, van Meurs, Jb, Vollenweider, P, Waeber, G, Wareham, Nj, Waterworth, Dm, Weedon, Mn, Wichmann, He, Wright, Af, Young, L, Zhai, G, Zhuang, Wv, Bierut, Lj, Boyd, Ha, Crisponi, L, Demerath, Ew, van Duijn, Cm, Econs, Mj, Harris, Tb, Hunter, Dj, Loos, Rj, Metspalu, A, Montgomery, Gw, Ridker, Pm, Spector, Td, Streeten, Ea, Stefansson, K, Thorsteinsdottir, U, Widen, E, Murabito, Jm, Murray, A., Hedebrand, Johannes (Beitragende*r), Hinney, Anke (Beitragende*r), Biological Psychology, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, EMGO+ - Lifestyle, Overweight and Diabetes, Neuroscience Campus Amsterdam - Brain Imaging Technology, Neuroscience Campus Amsterdam - Brain Mechanisms in Health & Disease, Faculteit Medische Wetenschappen/UMCG, Groningen Research Institute of Pharmacy, and Groningen Research Institute for Asthma and COPD (GRIAC)

Subjects
Male, Netherlands Twin Register (NTR), Genetic Linkage, Medizin, Gene Expression, Genome-wide association study, VARIANTS, Body Mass Index, 0302 clinical medicine, genetic linkage, Transforming Growth Factor beta, Neoplasms, molecular biology, genetics, Child, Genetics (clinical), Adiposity, 2. Zero hunger, 0303 health sciences, adiposity, Mitogen-Activated Protein Kinase 3, Association Studies Articles, Age Factors, ACHONDROPLASIA, General Medicine, Genome-Wide Association Study, pubertal height growth, pubertal timing, Phenotype, OBESITY, Menarche, body height, Female, Signal Transduction, medicine.medical_specialty, age factors, CHROMOSOME 16P11.2, Adolescent, BIRTH, Quantitative Trait Loci, 030209 endocrinology & metabolism, Context (language use), Biology, Childhood obesity, MENARCHE, Young Adult, 03 medical and health sciences, AGE, SDG 3 - Good Health and Well-being, Prepuberty, Internal medicine, Genetics, medicine, Humans, Molecular Biology, 030304 developmental biology, Sign, FACTOR RECEPTOR-3, MUTATIONS, Puberty, ta3121, medicine.disease, Obesity, Body Height, Genetic architecture, Endocrinology, POPULATION COHORT, gene expression, Body mass index, Follow-Up Studies
Abstract

The pubertal height growth spurt is a distinctive feature of childhood growth reflecting both the central onset of puberty and local growth factors. Although little is known about the underlying genetics, growth variability during puberty correlates with adult risks for hormone-dependent cancer and adverse cardiometabolic health. The only gene so far associated with pubertal height growth, LIN28B, pleiotropically influences childhood growth, puberty and cancer progression, pointing to shared underlying mechanisms. To discover genetic loci influencing pubertal height and growth and to place them in context of overall growth and maturation, we performed genome-wide association meta-analyses in 18 737 European samples utilizing longitudinally collected height measurements. We found significant associations (P

Published
2013

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