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. 2014 Oct 2;514(7520):92-97.
doi: 10.1038/nature13545. Epub 2014 Jul 23.

Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche

John Rb Perry #  1   2   3   4 Felix Day #  1 Cathy E Elks #  1 Patrick Sulem #  5 Deborah J Thompson  6 Teresa Ferreira  3 Chunyan He  7   8 Daniel I Chasman  9   10 Tõnu Esko  11   12   13   14 Gudmar Thorleifsson  5 Eva Albrecht  15 Wei Q Ang  16 Tanguy Corre  17   18 Diana L Cousminer  19 Bjarke Feenstra  20 Nora Franceschini  21 Andrea Ganna  22 Andrew D Johnson  23 Sanela Kjellqvist  24 Kathryn L Lunetta  23   25 George McMahon  26   27 Ilja M Nolte  28 Lavinia Paternoster  26 Eleonora Porcu  29   30 Albert V Smith  31   32 Lisette Stolk  33   34 Alexander Teumer  35 Natalia Tšernikova  11   36 Emmi Tikkanen  19   37 Sheila Ulivi  38 Erin K Wagner  7   8 Najaf Amin  39 Laura J Bierut  40 Enda M Byrne  41   42 Jouke-Jan Hottenga  43 Daniel L Koller  44 Massimo Mangino  4 Tune H Pers  12   13   45   46 Laura M Yerges-Armstrong  47 Jing Hua Zhao  1 Irene L Andrulis  48   49 Hoda Anton-Culver  50 Femke Atsma  51 Stefania Bandinelli  52   53 Matthias W Beckmann  54 Javier Benitez  55   56 Carl Blomqvist  57 Stig E Bojesen  58   59 Manjeet K Bolla  6 Bernardo Bonanni  60 Hiltrud Brauch  61   62 Hermann Brenner  63   64 Julie E Buring  9   10 Jenny Chang-Claude  65 Stephen Chanock  66 Jinhui Chen  67   68 Georgia Chenevix-Trench  69 J Margriet Collée  70 Fergus J Couch  71 David Couper  72 Andrea D Coveillo  73 Angela Cox  74 Kamila Czene  22 Adamo Pio D'adamo  38   75 George Davey Smith  26   27 Immaculata De Vivo  76   77 Ellen W Demerath  78 Joe Dennis  6 Peter Devilee  79 Aida K Dieffenbach  63   64 Alison M Dunning  80 Gudny Eiriksdottir  31 Johan G Eriksson  81   82   83   84 Peter A Fasching  54 Luigi Ferrucci  85 Dieter Flesch-Janys  86 Henrik Flyger  87 Tatiana Foroud  44 Lude Franke  88 Melissa E Garcia  89 Montserrat García-Closas  90   91 Frank Geller  20 Eco Ej de Geus  43   92 Graham G Giles  93   94 Daniel F Gudbjartsson  5   95 Vilmundur Gudnason  31   32 Pascal Guénel  96   97 Suiqun Guo  98 Per Hall  22 Ute Hamann  99 Robin Haring  100 Catharina A Hartman  101 Andrew C Heath  102 Albert Hofman  103 Maartje J Hooning  104 John L Hopper  94 Frank B Hu  76   77   105 David J Hunter  13   76   77 David Karasik  10   106 Douglas P Kiel  106   107 Julia A Knight  108   109 Veli-Matti Kosma  110   111 Zoltan Kutalik  17   18 Sandra Lai  29 Diether Lambrechts  112   113 Annika Lindblom  114 Reedik Mägi  11 Patrik K Magnusson  22 Arto Mannermaa  110   111 Nicholas G Martin  69 Gisli Masson  5 Patrick F McArdle  47 Wendy L McArdle  27 Mads Melbye  20   115 Kyriaki Michailidou  6 Evelin Mihailov  11   36 Lili Milani  11 Roger L Milne  93   94 Heli Nevanlinna  116 Patrick Neven  117 Ellen A Nohr  118 Albertine J Oldehinkel  119 Ben A Oostra  39 Aarno Palotie  19   120   121   122 Munro Peacock  123 Nancy L Pedersen  22 Paolo Peterlongo  124 Julian Peto  125 Paul Dp Pharoah  80 Dirkje S Postma  126 Anneli Pouta  81   127 Katri Pylkäs  128 Paolo Radice  129 Susan Ring  26   27 Fernando Rivadeneira  33   34   103 Antonietta Robino  38   75 Lynda M Rose  9 Anja Rudolph  65 Veikko Salomaa  81 Serena Sanna  29 David Schlessinger  130 Marjanka K Schmidt  131 Mellissa C Southey  132 Ulla Sovio  133   134 Meir J Stampfer  76   77   105 Doris Stöckl  135   136 Anna M Storniolo  123 Nicholas J Timpson  26   27 Jonathan Tyrer  80 Jenny A Visser  33 Peter Vollenweider  137 Henry Völzke  138   139 Gerard Waeber  137 Melanie Waldenberger  140 Henri Wallaschofski  100   139 Qin Wang  6 Gonneke Willemsen  43 Robert Winqvist  128 Bruce Hr Wolffenbuttel  141 Margaret J Wright  142 Australian Ovarian Cancer StudyGENICA NetworkkConFabLifeLines Cohort StudyInterAct ConsortiumEarly Growth Genetics (EGG) ConsortiumDorret I Boomsma  43 Michael J Econs  44   123 Kay-Tee Khaw  143 Ruth Jf Loos  1   144 Mark I McCarthy  3   145   146 Grant W Montgomery  142 John P Rice  40 Elizabeth A Streeten  47   147 Unnur Thorsteinsdottir  5   95 Cornelia M van Duijn  34   39   148 Behrooz Z Alizadeh  28 Sven Bergmann  17   18 Eric Boerwinkle  149 Heather A Boyd  20 Laura Crisponi  29 Paolo Gasparini  38   75 Christian Gieger  15 Tamara B Harris  89 Erik Ingelsson  150 Marjo-Riitta Järvelin  133   151   152   153   154 Peter Kraft  76   155 Debbie Lawlor  26   27 Andres Metspalu  11   36 Craig E Pennell  16 Paul M Ridker  9   10 Harold Snieder  28 Thorkild Ia Sørensen  156   157 Tim D Spector  4 David P Strachan  158 André G Uitterlinden  33   34   103 Nicholas J Wareham  1 Elisabeth Widen  19 Marek Zygmunt  159 Anna Murray  2 Douglas F Easton  6 Kari Stefansson #  5   95 Joanne M Murabito #  23   160 Ken K Ong #  1   161
Collaborators, Affiliations

Parent-of-origin-specific allelic associations among 106 genomic loci for age at menarche

John Rb Perry et al. Nature. .

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.

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Figures

Figure 1
Figure 1. Manhattan and QQ plot of the GWAS for age at menarche
Manhattan (main panel) and quantile-quantile (QQ) (embedded) plots illustrating results of the genome-wide association study (GWAS) meta-analysis for age at menarche in up to 182,416 women of European descent. The Manhattan plot presents the association -log10 P-values for each genome-wide SNP (Y-axis) by chromosomal position (X-axis). The red line indicates the threshold for genome-wide statistical significance (P=5×10−8). Blue dots represent SNPs whose nearest gene is the same as that of the genome-wide significant signals. The QQ plot illustrates the deviation of association test statistics (blue dots) from the distribution expected under the null hypothesis (red line).
Figure 2
Figure 2. Forest plot of parent-of-origin specific allelic associations at three imprinted menarche loci
The forest plot illustrates the associations of variants in four independent genomic signals for age at menarche that are located in three imprinted gene regions. For each variant, squares (and error bars) indicate the estimated per-allele effect sizes on age at menarche in years (and 95% confidence intervals) from the standard additive models in the combined ReproGen meta-analysis (Black), and separately for the paternally-inherited (Blue) or maternally-inherited allele (Red) in up to 35,377 women from the deCODE study. The association for the menarche locus with the largest effect size at LIN28B is also shown for reference, illustrating the similar magnitude of effect size at the MKRN3 locus when parent-of-origin is taken into account.
Figure 3
Figure 3. Schematic diagram indicating possible roles in the hypothalamic-pituitary-ovarian axis of several of the implicated genes and biological mechanisms for menarche timing

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