Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations.
Most genome-wide association and fine-mapping studies to date have been conducted in individuals of European descent, and genetic studies of populations of Hispanic/Latino and African ancestry are limited. In addition, these populations have more complex linkage disequilibrium structure. In order to...
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Genetics QH426-470 Madeline H Kowalski Huijun Qian Ziyi Hou Jonathan D Rosen Amanda L Tapia Yue Shan Deepti Jain Maria Argos Donna K Arnett Christy Avery Kathleen C Barnes Lewis C Becker Stephanie A Bien Joshua C Bis John Blangero Eric Boerwinkle Donald W Bowden Steve Buyske Jianwen Cai Michael H Cho Seung Hoan Choi Hélène Choquet L Adrienne Cupples Mary Cushman Michelle Daya Paul S de Vries Patrick T Ellinor Nauder Faraday Myriam Fornage Stacey Gabriel Santhi K Ganesh Misa Graff Namrata Gupta Jiang He Susan R Heckbert Bertha Hidalgo Chani J Hodonsky Marguerite R Irvin Andrew D Johnson Eric Jorgenson Robert Kaplan Sharon L R Kardia Tanika N Kelly Charles Kooperberg Jessica A Lasky-Su Ruth J F Loos Steven A Lubitz Rasika A Mathias Caitlin P McHugh Courtney Montgomery Jee-Young Moon Alanna C Morrison Nicholette D Palmer Nathan Pankratz George J Papanicolaou Juan M Peralta Patricia A Peyser Stephen S Rich Jerome I Rotter Edwin K Silverman Jennifer A Smith Nicholas L Smith Kent D Taylor Timothy A Thornton Hemant K Tiwari Russell P Tracy Tao Wang Scott T Weiss Lu-Chen Weng Kerri L Wiggins James G Wilson Lisa R Yanek Sebastian Zöllner Kari E North Paul L Auer NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium TOPMed Hematology & Hemostasis Working Group Laura M Raffield Alexander P Reiner Yun Li Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations. |
description |
Most genome-wide association and fine-mapping studies to date have been conducted in individuals of European descent, and genetic studies of populations of Hispanic/Latino and African ancestry are limited. In addition, these populations have more complex linkage disequilibrium structure. In order to better define the genetic architecture of these understudied populations, we leveraged >100,000 phased sequences available from deep-coverage whole genome sequencing through the multi-ethnic NHLBI Trans-Omics for Precision Medicine (TOPMed) program to impute genotypes into admixed African and Hispanic/Latino samples with genome-wide genotyping array data. We demonstrated that using TOPMed sequencing data as the imputation reference panel improves genotype imputation quality in these populations, which subsequently enhanced gene-mapping power for complex traits. For rare variants with minor allele frequency (MAF) < 0.5%, we observed a 2.3- to 6.1-fold increase in the number of well-imputed variants, with 11-34% improvement in average imputation quality, compared to the state-of-the-art 1000 Genomes Project Phase 3 and Haplotype Reference Consortium reference panels. Impressively, even for extremely rare variants with minor allele count <10 (including singletons) in the imputation target samples, average information content rescued was >86%. Subsequent association analyses of TOPMed reference panel-imputed genotype data with hematological traits (hemoglobin (HGB), hematocrit (HCT), and white blood cell count (WBC)) in ~21,600 African-ancestry and ~21,700 Hispanic/Latino individuals identified associations with two rare variants in the HBB gene (rs33930165 with higher WBC [p = 8.8x10-15] in African populations, rs11549407 with lower HGB [p = 1.5x10-12] and HCT [p = 8.8x10-10] in Hispanics/Latinos). By comparison, neither variant would have been genome-wide significant if either 1000 Genomes Project Phase 3 or Haplotype Reference Consortium reference panels had been used for imputation. Our findings highlight the utility of the TOPMed imputation reference panel for identification of novel rare variant associations not previously detected in similarly sized genome-wide studies of under-represented African and Hispanic/Latino populations. |
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author |
Madeline H Kowalski Huijun Qian Ziyi Hou Jonathan D Rosen Amanda L Tapia Yue Shan Deepti Jain Maria Argos Donna K Arnett Christy Avery Kathleen C Barnes Lewis C Becker Stephanie A Bien Joshua C Bis John Blangero Eric Boerwinkle Donald W Bowden Steve Buyske Jianwen Cai Michael H Cho Seung Hoan Choi Hélène Choquet L Adrienne Cupples Mary Cushman Michelle Daya Paul S de Vries Patrick T Ellinor Nauder Faraday Myriam Fornage Stacey Gabriel Santhi K Ganesh Misa Graff Namrata Gupta Jiang He Susan R Heckbert Bertha Hidalgo Chani J Hodonsky Marguerite R Irvin Andrew D Johnson Eric Jorgenson Robert Kaplan Sharon L R Kardia Tanika N Kelly Charles Kooperberg Jessica A Lasky-Su Ruth J F Loos Steven A Lubitz Rasika A Mathias Caitlin P McHugh Courtney Montgomery Jee-Young Moon Alanna C Morrison Nicholette D Palmer Nathan Pankratz George J Papanicolaou Juan M Peralta Patricia A Peyser Stephen S Rich Jerome I Rotter Edwin K Silverman Jennifer A Smith Nicholas L Smith Kent D Taylor Timothy A Thornton Hemant K Tiwari Russell P Tracy Tao Wang Scott T Weiss Lu-Chen Weng Kerri L Wiggins James G Wilson Lisa R Yanek Sebastian Zöllner Kari E North Paul L Auer NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium TOPMed Hematology & Hemostasis Working Group Laura M Raffield Alexander P Reiner Yun Li |
author_facet |
Madeline H Kowalski Huijun Qian Ziyi Hou Jonathan D Rosen Amanda L Tapia Yue Shan Deepti Jain Maria Argos Donna K Arnett Christy Avery Kathleen C Barnes Lewis C Becker Stephanie A Bien Joshua C Bis John Blangero Eric Boerwinkle Donald W Bowden Steve Buyske Jianwen Cai Michael H Cho Seung Hoan Choi Hélène Choquet L Adrienne Cupples Mary Cushman Michelle Daya Paul S de Vries Patrick T Ellinor Nauder Faraday Myriam Fornage Stacey Gabriel Santhi K Ganesh Misa Graff Namrata Gupta Jiang He Susan R Heckbert Bertha Hidalgo Chani J Hodonsky Marguerite R Irvin Andrew D Johnson Eric Jorgenson Robert Kaplan Sharon L R Kardia Tanika N Kelly Charles Kooperberg Jessica A Lasky-Su Ruth J F Loos Steven A Lubitz Rasika A Mathias Caitlin P McHugh Courtney Montgomery Jee-Young Moon Alanna C Morrison Nicholette D Palmer Nathan Pankratz George J Papanicolaou Juan M Peralta Patricia A Peyser Stephen S Rich Jerome I Rotter Edwin K Silverman Jennifer A Smith Nicholas L Smith Kent D Taylor Timothy A Thornton Hemant K Tiwari Russell P Tracy Tao Wang Scott T Weiss Lu-Chen Weng Kerri L Wiggins James G Wilson Lisa R Yanek Sebastian Zöllner Kari E North Paul L Auer NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium TOPMed Hematology & Hemostasis Working Group Laura M Raffield Alexander P Reiner Yun Li |
author_sort |
Madeline H Kowalski |
title |
Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations. |
title_short |
Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations. |
title_full |
Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations. |
title_fullStr |
Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations. |
title_full_unstemmed |
Use of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations. |
title_sort |
use of >100,000 nhlbi trans-omics for precision medicine (topmed) consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed african and hispanic/latino populations. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2019 |
url |
https://doaj.org/article/e2012563f33841c88441169fde0c6cd0 |
work_keys_str_mv |
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oai:doaj.org-article:e2012563f33841c88441169fde0c6cd02021-12-02T20:02:58ZUse of >100,000 NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium whole genome sequences improves imputation quality and detection of rare variant associations in admixed African and Hispanic/Latino populations.1553-73901553-740410.1371/journal.pgen.1008500https://doaj.org/article/e2012563f33841c88441169fde0c6cd02019-12-01T00:00:00Zhttps://doi.org/10.1371/journal.pgen.1008500https://doaj.org/toc/1553-7390https://doaj.org/toc/1553-7404Most genome-wide association and fine-mapping studies to date have been conducted in individuals of European descent, and genetic studies of populations of Hispanic/Latino and African ancestry are limited. In addition, these populations have more complex linkage disequilibrium structure. In order to better define the genetic architecture of these understudied populations, we leveraged >100,000 phased sequences available from deep-coverage whole genome sequencing through the multi-ethnic NHLBI Trans-Omics for Precision Medicine (TOPMed) program to impute genotypes into admixed African and Hispanic/Latino samples with genome-wide genotyping array data. We demonstrated that using TOPMed sequencing data as the imputation reference panel improves genotype imputation quality in these populations, which subsequently enhanced gene-mapping power for complex traits. For rare variants with minor allele frequency (MAF) < 0.5%, we observed a 2.3- to 6.1-fold increase in the number of well-imputed variants, with 11-34% improvement in average imputation quality, compared to the state-of-the-art 1000 Genomes Project Phase 3 and Haplotype Reference Consortium reference panels. Impressively, even for extremely rare variants with minor allele count <10 (including singletons) in the imputation target samples, average information content rescued was >86%. Subsequent association analyses of TOPMed reference panel-imputed genotype data with hematological traits (hemoglobin (HGB), hematocrit (HCT), and white blood cell count (WBC)) in ~21,600 African-ancestry and ~21,700 Hispanic/Latino individuals identified associations with two rare variants in the HBB gene (rs33930165 with higher WBC [p = 8.8x10-15] in African populations, rs11549407 with lower HGB [p = 1.5x10-12] and HCT [p = 8.8x10-10] in Hispanics/Latinos). By comparison, neither variant would have been genome-wide significant if either 1000 Genomes Project Phase 3 or Haplotype Reference Consortium reference panels had been used for imputation. Our findings highlight the utility of the TOPMed imputation reference panel for identification of novel rare variant associations not previously detected in similarly sized genome-wide studies of under-represented African and Hispanic/Latino populations.Madeline H KowalskiHuijun QianZiyi HouJonathan D RosenAmanda L TapiaYue ShanDeepti JainMaria ArgosDonna K ArnettChristy AveryKathleen C BarnesLewis C BeckerStephanie A BienJoshua C BisJohn BlangeroEric BoerwinkleDonald W BowdenSteve BuyskeJianwen CaiMichael H ChoSeung Hoan ChoiHélène ChoquetL Adrienne CupplesMary CushmanMichelle DayaPaul S de VriesPatrick T EllinorNauder FaradayMyriam FornageStacey GabrielSanthi K GaneshMisa GraffNamrata GuptaJiang HeSusan R HeckbertBertha HidalgoChani J HodonskyMarguerite R IrvinAndrew D JohnsonEric JorgensonRobert KaplanSharon L R KardiaTanika N KellyCharles KooperbergJessica A Lasky-SuRuth J F LoosSteven A LubitzRasika A MathiasCaitlin P McHughCourtney MontgomeryJee-Young MoonAlanna C MorrisonNicholette D PalmerNathan PankratzGeorge J PapanicolaouJuan M PeraltaPatricia A PeyserStephen S RichJerome I RotterEdwin K SilvermanJennifer A SmithNicholas L SmithKent D TaylorTimothy A ThorntonHemant K TiwariRussell P TracyTao WangScott T WeissLu-Chen WengKerri L WigginsJames G WilsonLisa R YanekSebastian ZöllnerKari E NorthPaul L AuerNHLBI Trans-Omics for Precision Medicine (TOPMed) ConsortiumTOPMed Hematology & Hemostasis Working GroupLaura M RaffieldAlexander P ReinerYun LiPublic Library of Science (PLoS)articleGeneticsQH426-470ENPLoS Genetics, Vol 15, Iss 12, p e1008500 (2019) |