Guillaume Lettre1. 1. Montreal Heart Institute (Research Center), Université de Montréal, Montréal, Québec, Canada. Guillaume.Lettre@mhi-humangenetics.org
Abstract
PURPOSE OF REVIEW: Both environmental (e.g., nutrition) and genetic factors contribute to adult height variation in the general population. However, heritability studies have shown that most of the variation in height is genetically controlled. Although height, a classic polygenic trait, has been studied for more than 100 years, the genetic factors that influence its variation remained, prior to 2007, unknown. The identification of genes that regulate human height would greatly enhance our understanding of human growth and height-associated human syndromes. RECENT FINDINGS: Genome-wide association studies have become a powerful tool to identify genes that are associated with complex human diseases and traits. Recent large meta-analyses of genome-wide association studies for height have yielded 47 loci robustly associated with height variation. The effect of each of these height single nucleotide polymorphisms is small, yet in aggregate they can correctly assign individuals to the lower or upper tail of the height distribution. Interestingly, some of these height loci include genes that have been previously implicated by Mendelian genetics in tall or short stature syndromes, confirming the hypothesis that genes that cause syndromes can also harbor common alleles with a weaker effect on stature. Finally, the recent findings highlight biological pathways (e.g., hedgehog signaling, microRNA, chromatin structure) involved in human growth. SUMMARY: This review summarizes the recent progress made using genome-wide association studies on the identification of common genetic variants that contribute to adult height variation in the general population.
PURPOSE OF REVIEW: Both environmental (e.g., nutrition) and genetic factors contribute to adult height variation in the general population. However, heritability studies have shown that most of the variation in height is genetically controlled. Although height, a classic polygenic trait, has been studied for more than 100 years, the genetic factors that influence its variation remained, prior to 2007, unknown. The identification of genes that regulate human height would greatly enhance our understanding of human growth and height-associated human syndromes. RECENT FINDINGS: Genome-wide association studies have become a powerful tool to identify genes that are associated with complex human diseases and traits. Recent large meta-analyses of genome-wide association studies for height have yielded 47 loci robustly associated with height variation. The effect of each of these height single nucleotide polymorphisms is small, yet in aggregate they can correctly assign individuals to the lower or upper tail of the height distribution. Interestingly, some of these height loci include genes that have been previously implicated by Mendelian genetics in tall or short stature syndromes, confirming the hypothesis that genes that cause syndromes can also harbor common alleles with a weaker effect on stature. Finally, the recent findings highlight biological pathways (e.g., hedgehog signaling, microRNA, chromatin structure) involved in human growth. SUMMARY: This review summarizes the recent progress made using genome-wide association studies on the identification of common genetic variants that contribute to adult height variation in the general population.
Authors: Elisabeth Widén; Samuli Ripatti; Diana L Cousminer; Ida Surakka; Tuuli Lappalainen; Marjo-Riitta Järvelin; Johan G Eriksson; Olli Raitakari; Veikko Salomaa; Ulla Sovio; Anna-Liisa Hartikainen; Anneli Pouta; Mark I McCarthy; Clive Osmond; Eero Kajantie; Terho Lehtimäki; Jorma Viikari; Mika Kähönen; Chris Tyler-Smith; Nelson Freimer; Joel N Hirschhorn; Leena Peltonen; Aarno Palotie Journal: Am J Hum Genet Date: 2010-04-15 Impact factor: 11.025
Authors: Allen D Radant; Dorcas J Dobie; Monica E Calkins; Ann Olincy; David L Braff; Kristin S Cadenhead; Robert Freedman; Michael F Green; Tiffany A Greenwood; Raquel E Gur; Ruben C Gur; Gregory A Light; Sean P Meichle; Steve P Millard; Jim Mintz; Keith H Nuechterlein; Nicholas J Schork; Larry J Seidman; Larry J Siever; Jeremy M Silverman; William S Stone; Neal R Swerdlow; Ming T Tsuang; Bruce I Turetsky; Debby W Tsuang Journal: Psychophysiology Date: 2010-04-05 Impact factor: 4.016
Authors: Bharat B Biswal; Maarten Mennes; Xi-Nian Zuo; Suril Gohel; Clare Kelly; Steve M Smith; Christian F Beckmann; Jonathan S Adelstein; Randy L Buckner; Stan Colcombe; Anne-Marie Dogonowski; Monique Ernst; Damien Fair; Michelle Hampson; Matthew J Hoptman; James S Hyde; Vesa J Kiviniemi; Rolf Kötter; Shi-Jiang Li; Ching-Po Lin; Mark J Lowe; Clare Mackay; David J Madden; Kristoffer H Madsen; Daniel S Margulies; Helen S Mayberg; Katie McMahon; Christopher S Monk; Stewart H Mostofsky; Bonnie J Nagel; James J Pekar; Scott J Peltier; Steven E Petersen; Valentin Riedl; Serge A R B Rombouts; Bart Rypma; Bradley L Schlaggar; Sein Schmidt; Rachael D Seidler; Greg J Siegle; Christian Sorg; Gao-Jun Teng; Juha Veijola; Arno Villringer; Martin Walter; Lihong Wang; Xu-Chu Weng; Susan Whitfield-Gabrieli; Peter Williamson; Christian Windischberger; Yu-Feng Zang; Hong-Ying Zhang; F Xavier Castellanos; Michael P Milham Journal: Proc Natl Acad Sci U S A Date: 2010-02-22 Impact factor: 11.205
Authors: Renata C Scalco; Vivian Hwa; Horacio M Domené; Héctor G Jasper; Alicia Belgorosky; Roxana Marino; Alberto M Pereira; Carlos A Tonelli; Jan M Wit; Ron G Rosenfeld; Alexander A L Jorge Journal: Eur J Endocrinol Date: 2015-06-01 Impact factor: 6.664
Authors: Vicente E Torres; Arlene B Chapman; Ronald D Perrone; K Ty Bae; Kaleab Z Abebe; James E Bost; Dana C Miskulin; Theodore I Steinman; William E Braun; Franz T Winklhofer; Marie C Hogan; Frederic R Oskoui; Cass Kelleher; Amirali Masoumi; James Glockner; Neil J Halin; Diego R Martin; Erick Remer; Nayana Patel; Ivan Pedrosa; Louis H Wetzel; Paul A Thompson; J Philip Miller; Catherine M Meyers; Robert W Schrier Journal: Kidney Int Date: 2011-12-28 Impact factor: 10.612
Authors: Jianhua Zhao; Mingyao Li; Jonathan P Bradfield; Haitao Zhang; Frank D Mentch; Kai Wang; Patrick M Sleiman; Cecilia E Kim; Joseph T Glessner; Cuiping Hou; Brendan J Keating; Kelly A Thomas; Maria L Garris; Sandra Deliard; Edward C Frackelton; F George Otieno; Rosetta M Chiavacci; Robert I Berkowitz; Hakon Hakonarson; Struan F A Grant Journal: BMC Med Genet Date: 2010-06-14 Impact factor: 2.103