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Exome Chip Analysis Identifies Low-Frequency and Rare Variants in for White Matter Hyperintensities on Brain Magnetic Resonance Imaging.
Wednesday,2018-09-19 10:30 America/Los_Angeles — ecterry
| Title | Exome Chip Analysis Identifies Low-Frequency and Rare Variants in for White Matter Hyperintensities on Brain Magnetic Resonance Imaging. |
| Publication Type | Journal Article |
| Year of Publication | 2018 |
| Authors | Jian, X, Satizabal, CL, Smith, AV, Wittfeld, K, Bis, JC, Smith, JA, Hsu, F-C, Nho, K, Hofer, E, Hagenaars, SP, Nyquist, PA, Mishra, A, Adams, HHH, Li, S, Teumer, A, Zhao, W, Freedman, BI, Saba, Y, Yanek, LR, Chauhan, G, van Buchem, MA, Cushman, M, Royle, NA, R Bryan, N, Niessen, WJ, Windham, BG, DeStefano, AL, Habes, M, Heckbert, SR, Palmer, ND, Lewis, CE, Eiriksdottir, G, Maillard, P, Mathias, RA, Homuth, G, Valdés-Hernández, MDel C, Divers, J, Beiser, AS, Langner, S, Rice, KM, Bastin, ME, Yang, Q, Maldjian, JA, Starr, JM, Sidney, S, Risacher, SL, Uitterlinden, AG, Gudnason, VG, Nauck, M, Rotter, JI, Schreiner, PJ, Boerwinkle, E, van Duijn, CM, Mazoyer, B, von Sarnowski, B, Gottesman, RF, Levy, D, Sigurdsson, S, Vernooij, MW, Turner, ST, Schmidt, R, Wardlaw, JM, Psaty, BM, Mosley, TH, DeCarli, CS, Saykin, AJ, Bowden, DW, Becker, DM, Deary, IJ, Schmidt, H, Kardia, SLR, Ikram, AM, Debette, S, Grabe, HJ, Longstreth, WT, Seshadri, S, Launer, LJ, Fornage, M |
| Corporate/Institutional Authors | neuroCHARGE Working Group |
| Journal | Stroke |
| Date Published | 2018 Jul 12 |
| ISSN | 1524-4628 |
| Abstract | <p><b>BACKGROUND AND PURPOSE: </b>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.</p><p><b>METHODS: </b>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.</p><p><b>RESULTS: </b>At 17q25, we confirmed the association of multiple common variants in , , and (<6×10). We also identified a novel association with 2 low-frequency nonsynonymous variants in (lead, rs34136221; =4.5×10) partially independent of known common signal (=1.4×10). We further identified a locus at 2q33 containing common variants in , , and (lead, rs2351524; =1.9×10). 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 variants (=2.8×10).</p><p><b>CONCLUSIONS: </b>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.</p> |
| DOI | 10.1161/STROKEAHA.118.020689 |
| Alternate Journal | Stroke |
| PubMed ID | 30002152 |
| Grant List | R01 NS087541 / NS / NINDS NIH HHS / United States U01 HL096899 / HL / NHLBI NIH HHS / United States U01 HL096902 / HL / NHLBI NIH HHS / United States |
ePub date:
18/07