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Ancestral diversity improves discovery and fine-mapping of genetic loci for anthropometric traits - the Hispanic/Latino Anthropometry Consortium

Authors :
Heather M. Highland
Francisco Rothhammer
Kristin L. Young
Andres Ruiz-Linares
Yujie Wang
Roberta McKean-Cowdin
Fernando Pires Hartwig
Noël P. Burtt
Ye Feng
Mark O. Goodarzi
Adrienne M. Stilp
Andrea R. V. R. Horimoto
Charleston W. K. Chiang
Michael Preuss
Adam G. Lilly
Gabriela Torres-Mejía
V. Saroja Voruganti
Donna E. Lehman
LáShauntá M. Glover
Roelof A.J. Smit
Yii-Der Ida Chen
Carl Langfeld
Xiuqing Guo
Rebecca Rohde
Estela Blanco
Samuel Canizales-Quinteros
Ravindranath Duggirala
Tamar Sofer
Sheila Gahagan
Anny H. Xiang
Ruth J. F. Loos
Hung-Hsin Chen
Sobha Puppala
Giovanni Poletti
Yang Hai
Claudia Schumann
Victor Acuña-Alonzo
Sharon G. Adler
Kari E. North
José Eduardo Krieger
Xinruo Zhang
Christopher A. Haiman
Alexandre C. Pereira
Thomas A. Buchanan
Xiaoyi Raymond Gao
Matthew A. Allison
Zorayr Arzumanyan
Jennifer A. Smith
Jie Yao
Marta Guindo-Martínez
Carmen R. Isasi
Clicerio González-Villalpando
Anthony G. Commuzzie
Nancy J. Cox
Kent D. Taylor
Victoria L. Buchanan
Carla Gallo
Esther M. John
Humberto García-Ortiz
David V. Conti
Lynne E. Wagenknecht
Carlos A. Aguilar-Salinas
Jose C. Florez
Willa A. Hsueh
Craig L. Hanis
Susanne B. Nicholas
Struan F.A. Grant
José de Jesús Peralta Romero
Lindsay Fernández-Rhodes
Alvin G. Thomas
Jerome I. Rotter
Maria Cátira Bortolini
Anne E. Justice
Hakon Hakonarson
Darryl Nousome
Nicholette Allred
Leslie J. Raffel
Nancy F. Butte
Wanying Zhu
Joanne E. Curran
Miguel Cruz
Xiaohui Li
Kevin Sandow
Minhui Chen
Poojan Shrestha
Eli Ipp
Teresa Tusie
Minjung Kho
Bernando Horta
Kelvin Lam
Stephanie M. Gogarten
Pauline Genter
John Blangero
Robert P. Igo
Mariaelisa Graff
Rolando González-José
Kaye Roll
Shelley A. Cole
Josep M. Mercader
Jingyi Tan
Esteban J. Parra
Jennifer E. Below
Sudha K. Iyengar
Qibin Qi
Elad Ziv
Gabriel Bedoya
Sara Pulit
Lorena Orozco
Fouad Kandeel
Astride Audirac-Chalifour
Laura Fejerman
Jerry L. Nadler
Daeeun Kim
Kaustubh Adhikari
George Papnicolaou
Jonathan P. Bradfield
Publication Year :
2021
Publisher :
Cold Spring Harbor Laboratory, 2021.

Abstract

Hispanic/Latinos have been underrepresented in genome-wide association studies (GWAS) for anthropometric traits despite notable anthropometric variability with ancestry proportions, and a high burden of growth stunting and overweight/obesity in Hispanic/Latino populations. This address this knowledge gap, we analyzed densely-imputed genetic data in a sample of Hispanic/Latino adults, to identify and fine-map common genetic variants associated with body mass index (BMI), height, and BMI-adjusted waist-to-hip ratio (WHRadjBMI). We conducted a GWAS of 18 studies/consortia as part of the Hispanic/Latino Anthropometry (HISLA) Consortium (Stage 1, n=59,769) and validated our findings in 9 additional studies (HISLA Stage 2, n=9,336). We conducted a trans-ethnic GWAS with summary statistics from HISLA Stage 1 and existing consortia of European and African ancestries. In our HISLA Stage 1+2 analyses, we discovered one novel BMI locus, as well two novel BMI signals and another novel height signal, each within established anthropometric loci. In our trans-ethnic meta- analysis, we identified three additional novel BMI loci, one novel height locus, and one novel WHRadjBMI locus. We also identified three secondary signals for BMI, 28 for height, and two for WHRadjBMI. We replicated >60 established anthropometric loci in Hispanic/Latino populations at genome-wide significance—representing up to 30% of previously-reported index SNP anthropometric associations. Trans-ethnic meta-analysis of the three ancestries showed a small-to-moderate impact of uncorrected population stratification on the resulting effect size estimates. Our novel findings demonstrate that future studies may also benefit from leveraging differences in linkage disequilibrium patterns to discover novel loci and additional signals with less residual population stratification.

Details

Database :
OpenAIRE
Accession number :
edsair.doi...........b9585c67ad1c41c2f10cd4ef8aa485b9