Probing The Dark Matter of the Genome in the NHLBI Family Heart Study

在 NHLBI 家庭心脏研究中探索基因组的暗物质

基本信息

  • 批准号:
    8874275
  • 负责人:
  • 金额:
    $ 74.07万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2013
  • 资助国家:
    美国
  • 起止时间:
    2013-07-22 至 2016-06-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): Recent large scale GWAS, including ours in the NHLBI Family Heart Study (FamHS), have identified and validated many loci for heart disease phenotypes at GW levels of significance. Yet the importance of these loci remains uncertain as nearly all appear to explain minimal amounts of the variance for the traits studied. A number of large scale exome sequencing projects are now being conducted on case-control cohorts to ad- dress whether rare coding variants may be behind this "missing heritability". But so far, signals have been difficult to distinguish from noise, partly due to large number of evolutionarily recent variants found in human populations (e.g. Coventry et al., 2010). For such nearly private, lineage-specific mutations, unrelated case- control studies result in a large number of singleton variants with low individual power, and which collectively pose a challenge to burden testing. The recently developed exome-chip addresses part of this problem by focusing on the "not so rare" exonic variants (seen in multiple unrelated subjects), but neglects the evolutionary recent lineage-specific exonic variants which the Fisher-Wright model predicts would have the greatest penetrance effects. More importantly, the exclusive focus on exonic variation in both case-control sequencing and exome chip studies ignores regulatory variants, which may be most important to many of the quantitative endophenotypes of cardiovascular disease (e.g. serum lipids, cytokines, obesity, CAC). To address these research gaps, we propose using the large, well characterized family study, FamHS, as a platform for Whole Exome Sequencing (WES), plus Targeted Regulatory Sequencing (TRS) for variants associated with cardiovascular disease, atherosclerosis and associated endophenotypes. The FamHS represents the ideal resource for the proposed studies, having a unique combination of features which no other NHLBI cohort possesses. Results from GAW 17 show (Wilson and Ziegler, 2011), and our own simulations confirm, that family studies have greater power to detect near-private, lineage-specific rare variants than studies of unrelated subjects, allowing us greater ability to detect novel associated exonic variants than the current case- control WES and exome chip studies. Further, our FamHS pedigrees continue to show provocatively strong, independently replicated linkage evidence for a variety of cardiovascular traits, unexplained by GWAS SNPs, suggesting that these particular regions may contain rare coding and/or regulatory variants. We propose a two-stage, WES+TRS experiment on all N=5,763 European-Americans (EAs) (in 1,253 families) from the extensively phenotyped FamHS cohort. In Stage 1, we will obtain WES information for 3,389 FamHS EAs comprising the largest 491 pedigrees (mean family size=6.9), to scan for novel rare coding/regulatory variants for CHD, atherosclerosis, and their risk factor phenotypes, such as obesity, hypertension, dyslipidemia, diabetes, insulin resistance, and inflammation. In Stage 2, we will validate these regions by sequencing all implicated loci in the remaining independent FamHS subjects (N=2,374 EAs in 660 families). We will also validate these findings in the N=622 (F=221 families) African-Americans in FamHS by conducting parallel WES+TRS.
描述(由申请人提供):最近的大规模GWAS,包括我们在NHLBI家族心脏研究(FamHS)中的研究,已经在GW水平上识别并验证了许多心脏病表型的基因座。然而,这些基因座的重要性仍然不确定,因为几乎所有基因座似乎都解释了所研究性状的最小方差。许多大规模的外显子组测序项目目前正在病例对照队列中进行,以确定这种“缺失的遗传性”背后是否存在罕见的编码变异。但到目前为止,信号很难从噪音中区分出来,部分原因是在人类群体中发现了大量进化上最近的变异(例如Coventry等人,2010)。对于这些几乎是私人的、谱系特异性的突变,不相关的病例对照研究导致大量个体功率低的单例变异,这对负担测试构成了挑战。最近开发的外显子芯片通过关注“不那么罕见”的外显子变体(在多个不相关的对象中看到)来解决部分问题,但忽略了进化最近的谱系特异性外显子变体,Fisher-Wright模型预测这些外显子变体将具有最大的外显子效应。更重要的是,病例对照测序和外显子组芯片研究都只关注外显子变异,而忽视了调控变异,而调控变异可能对许多心血管疾病的定量内表型(如血脂、细胞因子、肥胖、CAC)最为重要。为了解决这些研究空白,我们建议使用大型的、具有良好特征的家族研究FamHS作为全外显子组测序(WES)的平台,以及与心血管疾病、动脉粥样硬化和相关内表型相关的变异的靶向调节测序(TRS)。FamHS代表了拟议研究的理想资源,具有其他NHLBI队列所不具备的独特特征组合。GAW 17的结果表明(Wilson和Ziegler, 2011),我们自己的模拟也证实,与不相关的研究相比,家族研究在检测近私有的、谱系特异性的罕见变异方面具有更大的能力,这使我们能够比目前的病例对照WES和外显子组芯片研究更能检测到新的相关外显子变异。此外,我们的FamHS谱系继续显示出令人不安的强大的、独立复制的连锁证据,表明这些特定区域可能包含罕见的编码和/或调节变异,这些证据与各种心血管特征有关,无法用GWAS snp解释。我们对来自广泛表型的FamHS队列的所有N= 5763名欧美人(1253个家庭)进行了两阶段WES+TRS实验。在第一阶段,我们将获得3389个FamHS ea的WES信息,包括最大的491个家系(平均家庭规模=6.9),以扫描冠心病、动脉粥样硬化及其危险因素表型(如肥胖、高血压、血脂异常、糖尿病、胰岛素抵抗和炎症)的新型罕见编码/调节变异。在第二阶段,我们将通过对其余独立FamHS受试者(660个家族的2374个ea)中所有涉及的基因座进行测序来验证这些区域。我们还将通过平行WES+TRS在FamHS的N=622 (F=221个家庭)非裔美国人中验证这些发现。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
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Michael A. Province其他文献

Tree-Based Models for Fiting Stratified Linear Regression Models
  • DOI:
    10.1007/s00357-001-0035-9
  • 发表时间:
    2002-01-01
  • 期刊:
  • 影响因子:
    1.900
  • 作者:
    William D. Shannon;Maciej Faifer;Michael A. Province;D. C. Rao
  • 通讯作者:
    D. C. Rao
Does Social Support Determine the Treatment Setting for Hemodialysis Patients?
  • DOI:
    10.1016/s0272-6386(85)80131-1
  • 发表时间:
    1985-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Marc D. Smith;Barry A. Hong;Michael A. Province;Alan M. Robson
  • 通讯作者:
    Alan M. Robson
Novel loci for triglyceride/HDL-C ratio longitudinal change among subjects without T2D
  • DOI:
    10.1016/j.jlr.2024.100702
  • 发表时间:
    2025-01-01
  • 期刊:
  • 影响因子:
  • 作者:
    Lihua Wang;Siyu Wang;Jason A. Anema;Vaha A. Moghaddam;Yanli Lu;Shiow Lin;E. Warwick Daw;Allison L. Kuipers;Iva Miljkovic;Michael Brent;Gary J. Patti;Bharat Thygarajan;Joseph M. Zmuda;Michael A. Province;Ping An
  • 通讯作者:
    Ping An
A Paradigm For Calling Sequence In Families: The Long Life Family Study
家庭排列顺序的范式:长寿家庭研究
  • DOI:
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    E. Daw;Jason A Anema;Karen Schwander;Shiow J Lin;Lihua Wang;M. Wojczynski;B. Thyagarajan;Nathan Stitziel;Michael A. Province
  • 通讯作者:
    Michael A. Province
Genetic drivers of heterogeneity in type 2 diabetes pathophysiology
2 型糖尿病病理生理学中异质性的遗传驱动因素
  • DOI:
    10.1038/s41586-024-07019-6
  • 发表时间:
    2024-02-19
  • 期刊:
  • 影响因子:
    48.500
  • 作者:
    Ken Suzuki;Konstantinos Hatzikotoulas;Lorraine Southam;Henry J. Taylor;Xianyong Yin;Kim M. Lorenz;Ravi Mandla;Alicia Huerta-Chagoya;Giorgio E. M. Melloni;Stavroula Kanoni;Nigel W. Rayner;Ozvan Bocher;Ana Luiza Arruda;Kyuto Sonehara;Shinichi Namba;Simon S. K. Lee;Michael H. Preuss;Lauren E. Petty;Philip Schroeder;Brett Vanderwerff;Mart Kals;Fiona Bragg;Kuang Lin;Xiuqing Guo;Weihua Zhang;Jie Yao;Young Jin Kim;Mariaelisa Graff;Fumihiko Takeuchi;Jana Nano;Amel Lamri;Masahiro Nakatochi;Sanghoon Moon;Robert A. Scott;James P. Cook;Jung-Jin Lee;Ian Pan;Daniel Taliun;Esteban J. Parra;Jin-Fang Chai;Lawrence F. Bielak;Yasuharu Tabara;Yang Hai;Gudmar Thorleifsson;Niels Grarup;Tamar Sofer;Matthias Wuttke;Chloé Sarnowski;Christian Gieger;Darryl Nousome;Stella Trompet;Soo-Heon Kwak;Jirong Long;Meng Sun;Lin Tong;Wei-Min Chen;Suraj S. Nongmaithem;Raymond Noordam;Victor J. Y. Lim;Claudia H. T. Tam;Yoonjung Yoonie Joo;Chien-Hsiun Chen;Laura M. Raffield;Bram Peter Prins;Aude Nicolas;Lisa R. Yanek;Guanjie Chen;Jennifer A. Brody;Edmond Kabagambe;Ping An;Anny H. Xiang;Hyeok Sun Choi;Brian E. Cade;Jingyi Tan;K. Alaine Broadaway;Alice Williamson;Zoha Kamali;Jinrui Cui;Manonanthini Thangam;Linda S. Adair;Adebowale Adeyemo;Carlos A. Aguilar-Salinas;Tarunveer S. Ahluwalia;Sonia S. Anand;Alain Bertoni;Jette Bork-Jensen;Ivan Brandslund;Thomas A. Buchanan;Charles F. Burant;Adam S. Butterworth;Mickaël Canouil;Juliana C. N. Chan;Li-Ching Chang;Miao-Li Chee;Ji Chen;Shyh-Huei Chen;Yuan-Tsong Chen;Zhengming Chen;Lee-Ming Chuang;Mary Cushman;John Danesh;Swapan K. Das;H. Janaka de Silva;George Dedoussis;Latchezar Dimitrov;Ayo P. Doumatey;Shufa Du;Qing Duan;Kai-Uwe Eckardt;Leslie S. Emery;Daniel S. Evans;Michele K. Evans;Krista Fischer;James S. Floyd;Ian Ford;Oscar H. Franco;Timothy M. Frayling;Barry I. Freedman;Pauline Genter;Hertzel C. Gerstein;Vilmantas Giedraitis;Clicerio González-Villalpando;Maria Elena González-Villalpando;Penny Gordon-Larsen;Myron Gross;Lindsay A. Guare;Sophie Hackinger;Liisa Hakaste;Sohee Han;Andrew T. Hattersley;Christian Herder;Momoko Horikoshi;Annie-Green Howard;Willa Hsueh;Mengna Huang;Wei Huang;Yi-Jen Hung;Mi Yeong Hwang;Chii-Min Hwu;Sahoko Ichihara;Mohammad Arfan Ikram;Martin Ingelsson;Md. Tariqul Islam;Masato Isono;Hye-Mi Jang;Farzana Jasmine;Guozhi Jiang;Jost B. Jonas;Torben Jørgensen;Frederick K. Kamanu;Fouad R. Kandeel;Anuradhani Kasturiratne;Tomohiro Katsuya;Varinderpal Kaur;Takahisa Kawaguchi;Jacob M. Keaton;Abel N. Kho;Chiea-Chuen Khor;Muhammad G. Kibriya;Duk-Hwan Kim;Florian Kronenberg;Johanna Kuusisto;Kristi Läll;Leslie A. Lange;Kyung Min Lee;Myung-Shik Lee;Nanette R. Lee;Aaron Leong;Liming Li;Yun Li;Ruifang Li-Gao;Symen Ligthart;Cecilia M. Lindgren;Allan Linneberg;Ching-Ti Liu;Jianjun Liu;Adam E. Locke;Tin Louie;Jian’an Luan;Andrea O. Luk;Xi Luo;Jun Lv;Julie A. Lynch;Valeriya Lyssenko;Shiro Maeda;Vasiliki Mamakou;Sohail Rafik Mansuri;Koichi Matsuda;Thomas Meitinger;Olle Melander;Andres Metspalu;Huan Mo;Andrew D. Morris;Filipe A. Moura;Jerry L. Nadler;Michael A. Nalls;Uma Nayak;Ioanna Ntalla;Yukinori Okada;Lorena Orozco;Sanjay R. Patel;Snehal Patil;Pei Pei;Mark A. Pereira;Annette Peters;Fraser J. Pirie;Hannah G. Polikowsky;Bianca Porneala;Gauri Prasad;Laura J. Rasmussen-Torvik;Alexander P. Reiner;Michael Roden;Rebecca Rohde;Katheryn Roll;Charumathi Sabanayagam;Kevin Sandow;Alagu Sankareswaran;Naveed Sattar;Sebastian Schönherr;Mohammad Shahriar;Botong Shen;Jinxiu Shi;Dong Mun Shin;Nobuhiro Shojima;Jennifer A. Smith;Wing Yee So;Alena Stančáková;Valgerdur Steinthorsdottir;Adrienne M. Stilp;Konstantin Strauch;Kent D. Taylor;Barbara Thorand;Unnur Thorsteinsdottir;Brian Tomlinson;Tam C. Tran;Fuu-Jen Tsai;Jaakko Tuomilehto;Teresa Tusie-Luna;Miriam S. Udler;Adan Valladares-Salgado;Rob M. van Dam;Jan B. van Klinken;Rohit Varma;Niels Wacher-Rodarte;Eleanor Wheeler;Ananda R. Wickremasinghe;Ko Willems van Dijk;Daniel R. Witte;Chittaranjan S. Yajnik;Ken Yamamoto;Kenichi Yamamoto;Kyungheon Yoon;Canqing Yu;Jian-Min Yuan;Salim Yusuf;Matthew Zawistowski;Liang Zhang;Wei Zheng;Leslie J. Raffel;Michiya Igase;Eli Ipp;Susan Redline;Yoon Shin Cho;Lars Lind;Michael A. Province;Myriam Fornage;Craig L. Hanis;Erik Ingelsson;Alan B. Zonderman;Bruce M. Psaty;Ya-Xing Wang;Charles N. Rotimi;Diane M. Becker;Fumihiko Matsuda;Yongmei Liu;Mitsuhiro Yokota;Sharon L. R. Kardia;Patricia A. Peyser;James S. Pankow;James C. Engert;Amélie Bonnefond;Philippe Froguel;James G. Wilson;Wayne H. H. Sheu;Jer-Yuarn Wu;M. Geoffrey Hayes;Ronald C. W. Ma;Tien-Yin Wong;Dennis O. Mook-Kanamori;Tiinamaija Tuomi;Giriraj R. Chandak;Francis S. Collins;Dwaipayan Bharadwaj;Guillaume Paré;Michèle M. Sale;Habibul Ahsan;Ayesha A. Motala;Xiao-Ou Shu;Kyong-Soo Park;J. Wouter Jukema;Miguel Cruz;Yii-Der Ida Chen;Stephen S. Rich;Roberta McKean-Cowdin;Harald Grallert;Ching-Yu Cheng;Mohsen Ghanbari;E-Shyong Tai;Josee Dupuis;Norihiro Kato;Markku Laakso;Anna Köttgen;Woon-Puay Koh;Donald W. Bowden;Colin N. A. Palmer;Jaspal S. Kooner;Charles Kooperberg;Simin Liu;Kari E. North;Danish Saleheen;Torben Hansen;Oluf Pedersen;Nicholas J. Wareham;Juyoung Lee;Bong-Jo Kim;Iona Y. Millwood;Robin G. Walters;Kari Stefansson;Emma Ahlqvist;Mark O. Goodarzi;Karen L. Mohlke;Claudia Langenberg;Christopher A. Haiman;Ruth J. F. Loos;Jose C. Florez;Daniel J. Rader;Marylyn D. Ritchie;Sebastian Zöllner;Reedik Mägi;Nicholas A. Marston;Christian T. Ruff;David A. van Heel;Sarah Finer;Joshua C. Denny;Toshimasa Yamauchi;Takashi Kadowaki;John C. Chambers;Maggie C. Y. Ng;Xueling Sim;Jennifer E. Below;Philip S. Tsao;Kyong-Mi Chang;Mark I. McCarthy;James B. Meigs;Anubha Mahajan;Cassandra N. Spracklen;Josep M. Mercader;Michael Boehnke;Jerome I. Rotter;Marijana Vujkovic;Benjamin F. Voight;Andrew P. Morris;Eleftheria Zeggini
  • 通讯作者:
    Eleftheria Zeggini

Michael A. Province的其他文献

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{{ truncateString('Michael A. Province', 18)}}的其他基金

Administrative Component
行政部分
  • 批准号:
    10840214
  • 财政年份:
    2019
  • 资助金额:
    $ 74.07万
  • 项目类别:
Administrative Component
行政部分
  • 批准号:
    10388279
  • 财政年份:
    2019
  • 资助金额:
    $ 74.07万
  • 项目类别:
Project 1
项目1
  • 批准号:
    10388283
  • 财政年份:
    2019
  • 资助金额:
    $ 74.07万
  • 项目类别:
The Long Life Family Study
长寿家庭研究
  • 批准号:
    10366972
  • 财政年份:
    2019
  • 资助金额:
    $ 74.07万
  • 项目类别:
The Long Life Family Study
长寿家庭研究
  • 批准号:
    10309363
  • 财政年份:
    2019
  • 资助金额:
    $ 74.07万
  • 项目类别:
Project 1
项目1
  • 批准号:
    10616725
  • 财政年份:
    2019
  • 资助金额:
    $ 74.07万
  • 项目类别:
Administrative Component
行政部分
  • 批准号:
    10616711
  • 财政年份:
    2019
  • 资助金额:
    $ 74.07万
  • 项目类别:
Probing The Dark Matter of the Genome in the NHLBI Family Heart Study
在 NHLBI 家庭心脏研究中探索基因组的暗物质
  • 批准号:
    9096206
  • 财政年份:
    2013
  • 资助金额:
    $ 74.07万
  • 项目类别:
Probing The Dark Matter of the Genome in the NHLBI Family Heart Study
在 NHLBI 家庭心脏研究中探索基因组的暗物质
  • 批准号:
    8703777
  • 财政年份:
    2013
  • 资助金额:
    $ 74.07万
  • 项目类别:
Probing The Dark Matter of the Genome in the NHLBI Family Heart Study
在 NHLBI 家庭心脏研究中探索基因组的暗物质
  • 批准号:
    8579400
  • 财政年份:
    2013
  • 资助金额:
    $ 74.07万
  • 项目类别:

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  • 批准号:
    10336591
  • 财政年份:
    2021
  • 资助金额:
    $ 74.07万
  • 项目类别:
Community-Academic Partnerships to Address COVID-19 Inequities within African American Communities
社区学术伙伴关系解决非裔美国人社区内的 COVID-19 不平等问题
  • 批准号:
    10245326
  • 财政年份:
    2021
  • 资助金额:
    $ 74.07万
  • 项目类别:
Building a Multidisciplinary Research Program to Address Hypertension Disparities:Exploring the Neurocognitive Mechanisms of a Self-Management Intervention for African American Women with Hypertension
建立一个多学科研究计划来解决高血压差异:探索非裔美国高血压女性自我管理干预的神经认知机制
  • 批准号:
    10334538
  • 财政年份:
    2019
  • 资助金额:
    $ 74.07万
  • 项目类别:
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