Citations 2
Exome Chip Analysis Identifies Low-Frequency and Rare Variants in MRPL38 for White Matter Hyperintensities on Brain Magnetic Resonance Imaging
Jian, Xueqiu , Satizábal, Claudia L. , Smith, Albert V. , Wittfeld, Katharina , Bis, Joshua C. , Smith, Jennifer A. , Hofer, Edith , Mishra, Aniket , Adams, Hieab H.H. , Li, Shuo , Teumer, Alexander , Zhao, Wei , Saba, Yasaman , Yanek, Lisa R. , Chauhan, Ganesh , Buchem, Mark A. van , Royle, Natalie A., Niessen, Wiro J. , Windham, B. Gwen , DeStefano, Anita L. , Habes, Mohamad , Heckbert, Susan R. , Palmer, Nicholette D., Lewis, Cora E. , Eiríksdóttir, Guðný , Maillard, Pauline , Mathias, Rasika A. , Divers, Jasmin, Beiser, Alexa S., Langner, Sönke , Rice, Kenneth , Bastin, Mark E. , Starr, John M. , Sidney, Stephen , Risacher, Shannon L. , Uitterlinden, André G. , Guðnason, Vilmundur , Rotter, Jerome I. , Schreiner, Pamela J. , Boerwinkle, Eric , Duijn, Cornelia M. van , Sarnowski, Bettina von , Gottesman, Rebecca F., Levy, Daniel , Sigurðsson, Sigurður , Vernooij, Meike W. , Schmidt, Reinhold, Wardlaw, Joanna M. , Mosley, Thomas H. , DeCarli, Charles , Bowden, Donald W. , Becker, Diane M. , Deary, Ian J. , Schmidt, Helena , Kardia, Sharon L. R., Debette, Stéphanie , Longstreth, W.T. , Seshadri, Sudha , Launer, Lenore J. , Fornage, Myriam , Group, for the neuroCHARGE Working, Dichgans, Martin , Rice, Kenneth , Palmer, Nicholette D. , DeCarli, Charles , Turner, Stephen T. , Dichgans, Martin , Wardlaw, Joanna Marguerite , Smith, Jennifer A , Adams, Hieab H H , Satizabal, Claudia L , Seshadri, Sudha , Bastin, Mark E , Teumer, Alexander , van Duijn, Cornelia M , Debette, Stephanie , Smith, Albert V , Palmer, Nicholette D , Rotter, Jerome I , Mathias, Rasika A , Rice, Ken , Levy, Daniel , Hsu, Fang‐Chi , Nho, Kwangsik T. , Hagenaars, Saskia P. , Nyquist, Paul , Freedman, Barry I. , Cushman, Mary , Bryan, Robert Nick , Homuth, Georg , Hernández, Maria del Carmen Valdés , Divers, Jasmin , Yang, Qiong , Maldjian, Joseph A. , Nauck, Matthias A. , Mazoyer, Bernard , Psaty, Bruce M. , Saykin, Andrew J. , Ikram, M. Arfan , Grabe, Hans Jörgen , Group, for the neuroCHARGE Working, Maillard, Pauline
Stroke | July 12, 2018 | Volume: 49 | Issue: 8 | Pages: 1812-1819
Background and Purpose— White matter hyperintensities (WMH) on brain magnetic resonance imaging are typical signs of cerebral small vessel disease and may indicate various preclinical, age-related neurological disorders, such as stroke. Though WMH are highly heritable, known common variants explain a small proportion of the WMH variance. The contribution of low-frequency/rare coding variants to WMH burden has not been explored. Methods— In the discovery sample we recruited 20 719 stroke/dementia-free adults from 13 population-based cohort studies within the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, among which 17 790 were of European ancestry and 2929 of African ancestry. We genotyped these participants at ≈250 000 mostly exonic variants with Illumina HumanExome BeadChip arrays. We performed ethnicity-specific linear regression on rank-normalized WMH in each study separately, which were then combined in meta-analyses to test for association with single variants and genes aggregating the effects of putatively functional low-frequency/rare variants. We then sought replication of the top findings in 1192 adults (European ancestry) with whole exome/genome sequencing data from 2 independent studies. Results— At 17q25, we confirmed the association of multiple common variants in TRIM65 , FBF1 , and ACOX1 ( P <6×10 −7 ). We also identified a novel association with 2 low-frequency nonsynonymous variants in MRPL38 (lead, rs34136221; P EA =4.5×10 −8 ) partially independent of known common signal ( P EA(conditional) =1.4×10 −3 ). We further identified a locus at 2q33 containing common variants in NBEAL1 , CARF , and WDR12 (lead, rs2351524; P all =1.9×10 −10 ). Although our novel findings were not replicated because of limited power and possible differences in study design, meta-analysis of the discovery and replication samples yielded stronger association for the 2 low-frequency MRPL38 variants ( P rs34136221 =2.8×10 −8 ). Conclusions— Both common and low-frequency/rare functional variants influence WMH. Larger replication and experimental follow-up are essential to confirm our findings and uncover the biological causal mechanisms of age-related WMH.
GWAS of 126,559 Individuals Identifies Genetic Variants Associated with Educational Attainment
Rietveld, Cornelius A. , Medland, Sarah E. , Derringer, Jaime , Esko, Tõnu , Martín, Nicolás W., Westra, Harm-Jan , Shakhbazov, Konstantin, Abdellaoui, Abdel , Albrecht, Eva, Alizadeh, Behrooz Z. , Amin, Najaf , Baumeister, Sebastian E. , Benke, Kelly S. , Bielak, Lawrence F. , Boatman, Jeffrey A. , Boyle, Patricia A. , Davies, Gail , Leeuw, Christiaan de , Eklund, Niina, Evans, Daniel S. , Ferhmann, Rudolf, Fischer, Krista , Gieger, Christian , Gjessing, Håkon K. , Hägg, Sara , Harris, Jennifer R. , Hayward, Caroline , Jacobsson, Bo , Joshi, Peter K. , Jugessur, Astanand , Kaakinen, Marika , Kanoni, Stavroula , Karjalainen, Juha, Kolčić, Ivana , Kristiansson, Kati , Kutalik, Zoltán , Lahti, Jari , Lee, Sang , Lin, Peng, Lind, Penelope A. , Lohman, Kurt, Loitfelder, Marisa, McMahon, George, Marques‐Vidal, Pedro , Meirelles, Osorio , Milani, Lili , Myhre, Ronny , Nuotio, Marja-Liisa , Oldmeadow, Christopher , Petrovic, Katja, Peyrot, Wouter J. , Polašek, Ozren , Quaye, Lydia, Reinmaa, Eva, Rice, John P. , Rizzi, Thais S., Schmidt, Helena , Schmidt, Reinhold, Smith, Albert V. , Smith, Jennifer A. , Terracciano, Antonio , Loos, Matthijs J. H. M. van der, Vitart, Véronique , Völzke, Henry , Wellmann, Jürgen , Yu, Lei , Zhao, Wei , Allïk, Jüri , Bandinelli, Stefania , Bastardot, François , Beauchamp, Jonathan , Bennett, David A. , Berger, Klaus, Bültmann, Ute , Campbell, Harry, Chabris, Christopher F., Cherkas, Lynn, Chung, Mina K. , Cucca, Francesco , Jager, Philip L. De , Neve, Jan-Emmanuel De, Deary, Ian J. , Dedoussis, George , Deloukas, Panos , Dimitriou, Maria , Eiríksdóttir, Guðný , Elderson, Martin F., Eriksson, Johan G. , Evans, David M. , Faul, Jessica D. , Ferrucci, Luigi , Garcia, Melissa E., Grönberg, Henrik , Guðnason, Vilmundur , Harris, Tamara B., Hastie, Nicholas D. , Hernández, Dena , Hoffmann, Wolfgang , Hofman, Adriaan, Holle, Rolf , Holliday, Elizabeth G., Hottenga, Jouke‐Jan , Illig, Thomas, Järvelin, Marjo‐Riitta , Kähönen, Mika , Kaprio, Jaakko , Kirkpatrick, Robert M. , Kowgier, Matthew , Latvala, Antti , Lawlor, Debbie A. , Lehtimäki, Terho , Li, Jingmei , Lichtenstein, Paul , Lichtner, Peter , Liewald, David C. , Madden, Pamela A. F., Magnusson, Patrik K. E. , Mäkinen, Tomi E., Masala, Marco , McGue, Matt , Mielck, Andreas, Miller, Michael B., Montgomery, Grant W. , Mukherjee, Sutapa , Nyholt, Dale R. , Oostra, Ben A., Palmer, Lyle J. , Palotie, Aarno , Perola, Markus, Peyser, Patricia A. , Preisig, Martin , Räikkönen, Katri , Rivadeneira, Fernando , Rudan, Igor , Rustichini, Aldo , Sarin, Antti-Pekka, Schlessinger, David, Scott, Rodney J. , Snieder, Harold , Pourcain, Beaté St , Starr, John M. , Sul, Jae Hoon , Surakka, Ida , Svento, Rauli , Teumer, Alexander , Study, The LifeLines Cohort, Tiemeier, Henning , Rooij, Frank J.A. van , Wagoner, David R. Van , Vartiainen, Erkki , Viikari, Jorma , Vollenweider, Péter , Vonk, Judith M. , Waeber, Gérard , Weir, David R. , Wichmann, H.‐Erich , Widén, Elisabeth , Willemsen, Gonneke , Wright, Alan F., Davey-Smith, George, Franke, Lude , Groenen, Patrick J. F. , Hofman, Albert , Johannesson, Magnus , Kardia, Sharon L. R., Krueger, Robert F., Laibson, David, Martin, Nicholas G. , Meyer, Michelle N., Posthuma, Daniëlle , Thurik, Roy , Timpson, Nicholas J. , Uitterlinden, André G. , Duijn, Cornelia M. van , Visscher, Peter M. , Benjamin, Daniel J. , Cesarini, David , Koellinger, Philipp , Bennett, David A. , Smith, George Davey , Meyer, Michelle N. , Westra, Harm-Jan , Yang, Jian , Agrawal, Arpana , Barnard, John , Holzapfel, Christina M. , Ibrahim‐Verbaas, Carla A. , Ingelsson, Erik , Lin, Peng, Liu, Ching‐Ti , Tanaka, Toshiko , Attia, John , Berger, Klaus, Bierut, Laura Jean , Boomsma, Dorret I , Andrade, Mariza de , Hall, Per N , Harris, Juliette , Heath, Andrew C. , Hofman, Adriaan, Holliday, Elizabeth G., Iacono, William G. , Launer, Lenore J. , Mäkinen, Tomi E., Metspalu, Andres , Palotie, Aarno V. , Penninx, Brenda W.J.H. , Raitakari, Olli Tuomas , Realo, Anu , Ring, Susan M. , Ripatti, Samuli , Salomaa, Veikko , Study, The LifeLines Cohort, Wilson, James Fox , Conley, Dalton , Davey-Smith, George, Smith, Jennifer A , Hottenga, Jouke-Jan , Martin, Nicholas G , Posthuma, Danielle , St Pourcain, Beate , Medland, Sarah E , Li, Jingmei , Teumer, Alexander , van Duijn, Cornelia M , Smith, Albert V , Ferrucci, Luigi , Davey Smith, George , Vonk, Judith M , Kanoni, Stavroula , Surakka, Ida
Science | May 31, 2013 | Volume: 340 | Issue: 6139 | Pages: 1467-1471
Genetic College Many genomic elements in humans are associated with behavior, including educational attainment. In a genome-wide association study including more than 100,000 samples, Rietveld et al. (p. 1467 , published online 30 May; see the Perspective by Flint and Munafò ) looked for genes related to educational attainment in Caucasians. Small genetic effects at three loci appeared to impact educational attainment.