A genetic stochastic process model for genome-wide joint analysis of biomarker dynamics and disease susceptibility with longitudinal data.
A genetic stochastic process model for genome-wide joint analysis of biomarker dynamics and disease susceptibility with longitudinal data.
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DOI：
10.1002/gepi.22058
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发表时间：
2017-11
影响因子：
2.1
通讯作者：
Kulminski AM
中科院分区：
文献类型：
--
作者：
He L;Zhbannikov I;Arbeev KG;Yashin AI;Kulminski AM
揭示遗传变异对复杂疾病的影响背后的潜在生物学机制或途径仍然是后GWAS时代的主要挑战之一。为了进一步探索遗传变异、生物标志物和疾病之间的关系，以阐明潜在的病理机制，人们付出了巨大的努力来研究多效性和基因-环境相互作用效应。我们提出了一种新的遗传随机过程模型（GSPM），可应用于GWAS，并共同研究遗传效应对生物标志物和疾病风险的影响。该模型的特点是更深刻的生物学解释，并考虑到生物标志物的动态随访期间调查疾病的危害。我们通过两个全基因组关联研究说明了所提出的模型的基本原理并评估了其性能。一个是检测对2型糖尿病（T2 D）与体重指数（BMI）具有交互作用的单核苷酸多态性（SNP），另一个是检测影响保护T2 D的最佳BMI水平的SNP。我们鉴定了多个SNP，这些SNP显示出与BMI对T2 D的相互作用效应，包括CDKAL 1基因中的新SNP rs 11757677（p=5.77e-07）。我们还发现位于2q14.2上的SNP rs 1551133逆转了BMI对T2 D的影响（p=6.70e-07）。总之，建议的GSPM提供了一个有前途的和有用的替代GWAS的纵向数据询问多效性和相互作用的影响，以获得更多的洞察基因，定量生物标志物和复杂疾病的风险之间的关系。
Unraveling the underlying biological mechanisms or pathways behind the identified effects of genetic variations on complex diseases remains one of the major challenges in the post-GWAS era. To further explore the relationship between genetic variation, biomarkers, and diseases for elucidating underlying pathological mechanism, a huge effort has been placed on examining pleiotropic and gene-environmental interaction effects. We propose a novel genetic stochastic process model (GSPM) that can be applied to GWAS and jointly investigate the genetic effects on longitudinally-measured biomarkers and risks of diseases. This model is characterized by more profound biological interpretation and takes into account the dynamics of biomarkers during follow-up when investigating the hazards of a disease. We illustrate the rationale and evaluate the performance of the proposed model through two genome-wide association studies. One is to detect single nucleotide polymorphisms (SNPs) having interaction effects on type 2 diabetes (T2D) with body mass index (BMI) and the other is to detect SNPs affecting the optimal BMI level for protecting from T2D. We identified multiple SNPs that showed interaction effects with BMI on T2D, including a novel SNP rs11757677 in the CDKAL1 gene (p=5.77e-07). We also found a SNP rs1551133 located on 2q14.2 that reversed the effect of BMI on T2D (p=6.70e-07). In conclusion, the proposed GSPM provides a promising and useful alternative in GWAS of longitudinal data for interrogating pleiotropic and interaction effects to gain more insights into the relationship between genes, quantitative biomarkers and risks of complex diseases.
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影响因子：
64.8
作者：
Fuchsberger, Christian;Flannick, Jason;Teslovich, Tanya M.;Mahajan, Anubha;Agarwala, Vineeta;Gaulton, Kyle J.;Ma, Clement;Fontanillas, Pierre;Moutsianas, Loukas;McCarthy, Davis J.;Rivas, Manuel A.;Perry, John R. B.;Sim, Xueling;Blackwell, Thomas W.;Robertson, Neil R.;Rayner, N. William;Cingolani, Pablo;Locke, Adam E.;Tajes, Juan Fernandez;Highland, Heather M.;Dupuis, Josee;Chines, Peter S.;Lindgren, Cecilia M.;Hartl, Christopher;Jackson, Anne U.;Chen, Han;Huyghe, Jeroen R.;van de Bunt, Martijn;Pearson, Richard D.;Kumar, Ashish;Mueller-Nurasyid, Martina;Grarup, Niels;Stringham, Heather M.;Gamazon, Eric R.;Lee, Jaehoon;Chen, Yuhui;Scott, Robert A.;Below, Jennifer E.;Chen, Peng;Huang, Jinyan;Go, Min Jin;Stitzel, Michael L.;Pasko, Dorota;Parker, Stephen C. J.;Varga, Tibor V.;Green, Todd;Beer, Nicola L.;Day-Williams, Aaron G.;Ferreira, Teresa;Fingerlin, Tasha;Horikoshi, Momoko;Hu, Cheng;Huh, Iksoo;Ikram, Mohammad Kamran;Kim, Bong-Jo;Kim, Yongkang;Kim, Young Jin;Kwon, Min-Seok;Lee, Juyoung;Lee, Selyeong;Lin, Keng-Han;Maxwell, Taylor J.;Nagai, Yoshihiko;Wang, Xu;Welch, Ryan P.;Yoon, Joon;Zhang, Weihua;Barzilai, Nir;Voight, Benjamin F.;Han, Bok-Ghee;Jenkinson, Christopher P.;Kuulasmaa, Teemu;Kuusisto, Johanna;Manning, Alisa;Ng, Maggie C. Y.;Palmer, Nicholette D.;Balkau, Beverley;Stancakova, Alena;Abboud, Hanna E.;Boeing, Heiner;Giedraitis, Vilmantas;Prabhakaran, Dorairaj;Gottesman, Omri;Scott, James;Carey, Jason;Kwan, Phoenix;Grant, George;Smith, Joshua D.;Neale, Benjamin M.;Purcell, Shaun;Butterworth, Adam S.;Howson, Joanna M. M.;Lee, Heung Man;Lu, Yingchang;Kwak, Soo-Heon;Zhao, Wei;Danesh, John;Lam, Vincent K. L.;Park, Kyong Soo;Saleheen, Danish;So, Wing Yee;Tam, Claudia H. T.;Afzal, Uzma;Aguilar, David;Arya, Rector;Aung, Tin;Chan, Edmund;Navarro, Carmen;Cheng, Ching-Yu;Palli, Domenico;Correa, Adolfo;Curran, Joanne E.;Rybin, Denis;Farook, Vidya S.;Fowler, Sharon P.;Freedman, Barry I.;Griswold, Michael;Hale, Daniel Esten;Hicks, Pamela J.;Khor, Chiea-Chuen;Kumar, Satish;Lehne, Benjamin;Thuillier, Dorothee;Lim, Wei Yen;Liu, Jianjun;van der Schouw, Yvonne T.;Loh, Marie;Musani, Solomon K.;Puppala, Sobha;Scott, William R.;Yengo, Loic;Tan, Sian-Tsung;Taylor, Herman A., Jr.;Thameem, Farook;Wilson, Gregory, Sr.;Wong, Tien Yin;Njolstad, Pal Rasmus;Levy, Jonathan C.;Mangino, Massimo;Bonnycastle, Lori L.;Schwarzmayr, Thomas;Fadista, Joao;Surdulescu, Gabriela L.;Herder, Christian;Groves, Christopher J.;Wieland, Thomas;Bork-Jensen, Jette;Brandslund, Ivan;Christensen, Cramer;Koistinen, Heikki A.;Doney, Alex S. F.;Kinnunen, Leena;Esko, Tonu;Farmer, Andrew J.;Hakaste, Liisa;Hodgkiss, Dylan;Kravic, Jasmina;Lyssenko, Valeriya;Hollensted, Mette;Jorgensen, Marit E.;Jorgensen, Torben;Ladenvall, Claes;Justesen, Johanne Marie;Karajamaki, Annemari;Kriebel, Jennifer;Rathmann, Wolfgang;Lannfelt, Lars;Lauritzen, Torsten;Narisu, Narisu;Linneberg, Allan;Melander, Olle;Milani, Lili;Neville, Matt;Orho-Melander, Marju;Qi, Lu;Qi, Qibin;Roden, Michael;Rolandsson, Olov;Swift, Amy;Rosengren, Anders H.;Stirrups, Kathleen;Wood, Andrew R.;Mihailov, Evelin;Blancher, Christine;Carneiro, Mauricio O.;Maguire, Jared;Poplin, Ryan;Shakir, Khalid;Fennell, Timothy;DePristo, Mark;de Angelis, Martin Hrabe;Deloukas, Panos;Gjesing, Anette P.;Jun, Goo;Nilsson, Peter;Murphy, Jacquelyn;Onofrio, Robert;Thorand, Barbara;Hansen, Torben;Meisinger, Christa;Hu, Frank B.;Isomaa, Bo;Karpe, Fredrik;Liang, Liming;Peters, Annette;Huth, Cornelia;O'Rahilly, Stephen P.;Palmer, Colin N. A.;Pedersen, Oluf;Rauramaa, Rainer;Tuomilehto, Jaakko;Salomaa, Veikko;Watanabe, Richard M.;Syvanen, Ann-Christine;Bergman, Richard N.;Bharadwaj, Dwaipayan;Bottinger, Erwin P.;Cho, Yoon Shin;Chandak, Giriraj R.;Chan, Juliana C. N.;Chia, Kee Seng;Daly, Mark J.;Ebrahim, Shah B.;Langenberg, Claudia;Elliott, Paul;Jablonski, Kathleen A.;Lehman, Donna M.;Jia, Weiping;Ma, Ronald C. W.;Pollin, Toni I.;Sandhu, Manjinder;Tandon, Nikhil;Froguel, Philippe;Barroso, Ines;Teo, Yik Ying;Zeggini, Eleftheria;Loos, Ruth J. F.;Small, Kerrin S.;Ried, Janina S.;DeFronzo, Ralph A.;Grallert, Harald;Glaser, Benjamin;Metspalu, Andres;Wareham, Nicholas J.;Walker, Mark;Banks, Eric;Gieger, Christian;Ingelsson, Erik;Im, Hae Kyung;Illig, Thomas;Franks, Paul W.;Buck, Gemma;Trakalo, Joseph;Buck, David;Prokopenko, Inga;Magi, Reedik;Lind, Lars;Farjoun, Yossi;Owen, Katharine R.;Gloyn, Anna L.;Strauch, Konstantin;Tuomi, Tiinamaija;Kooner, Jaspal Singh;Lee, Jong-Young;Park, Taesung;Donnelly, Peter;Morris, Andrew D.;Hattersley, Andrew T.;Bowden, Donald W.;Collins, Francis S.;Atzmon, Gil;Chambers, John C.;Spector, Timothy D.;Laakso, Markku;Strom, Tim M.;Bell, Graeme I.;Blangero, John;Duggirala, Ravindranath;Tai, E. Shyong;McVean, Gilean;Hanis, Craig L.;Wilson, James G.;Seielstad, Mark;Frayling, Timothy M.;Meigs, James B.;Cox, Nancy J.;Sladek, Rob;Lander, Eric S.;Gabriel, Stacey;Burtt, Noel P.;Mohlke, Karen L.;Meitinger, Thomas;Groop, Leif;Abecasis, Goncalo;Florez, Jose C.;Scott, Laura J.;Morris, Andrew P.;Kang, Hyun Min;Boehnke, Michael;Altshuler, David;McCarthy, Mark I.
通讯作者：
McCarthy, Mark I.
影响因子：
9.8
作者：
Li, Bingshan;Leal, Suzanne M.
通讯作者：
Leal, Suzanne M.
影响因子：
5.8
作者：
Derkach, Andriy;Chiang, Theodore;Strug, Lisa J.
通讯作者：
Strug, Lisa J.
影响因子：
4.5
作者：
Hu, Yi-Juan;Liao, Peizhou;Satten, Glen A.
通讯作者：
Satten, Glen A.
影响因子：
14.9
作者：
Tryka KA;Hao L;Sturcke A;Jin Y;Wang ZY;Ziyabari L;Lee M;Popova N;Sharopova N;Kimura M;Feolo M
通讯作者：
Feolo M