4.7 Article

Exome Chip Analysis Identifies Low-Frequency and Rare Variants in MRPL38 for White Matter Hyperintensities on Brain Magnetic Resonance Imaging

期刊

STROKE
卷 49, 期 8, 页码 1812-1819

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/STROKEAHA.118.020689

关键词

cerebral small vessel disease; exome; magnetic resonance imaging; meta-analysis; white matter

资金

  1. National Institute of Neurological Disorders and Stroke [R01NS087541]
  2. National Institute on Aging (NIA) [U01AG049506]
  3. National Heart, Lung, and Blood Institute [R01HL105756]
  4. NIA [R01AG033193]
  5. Age UK (Disconnected Mind programme)
  6. Medical Research Council [MR/K026992/1, MR/M01311/1]
  7. Federal Ministry of Education and Research
  8. German Research Foundation
  9. DAMP Foundation
  10. Fresenius Medical Care
  11. Netherlands Organization for Scientific Research
  12. Austrian Science Fund
  13. MRC [MR/M013111/1, UKDRI-4002, G0701120] Funding Source: UKRI
  14. NATIONAL HEART, LUNG, AND BLOOD INSTITUTE [U01HL130114, R01HL105756, R01HL112064, U01HL096899, U01HL096902] Funding Source: NIH RePORTER
  15. NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE [R01NS017950, R01NS087541] Funding Source: NIH RePORTER
  16. NATIONAL INSTITUTE ON AGING [P30AG010129, U01AG049506, R01AG054076, R01AG033193, U01AG052409] Funding Source: NIH RePORTER
  17. NATIONAL LIBRARY OF MEDICINE [R01LM012535] Funding Source: NIH RePORTER
  18. Medical Research Council [MR/M013111/1] Funding Source: researchfish

向作者/读者索取更多资源

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 20719 stroke/dementia-free adults from 13 population-based cohort studies within the Cohorts for Heart and Aging Research in Genomic Epidemiology consortium, among which 17790 were of European ancestry and 2929 of African ancestry. We genotyped these participants at approximate to 250000 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<6x10(-7)). We also identified a novel association with 2 low-frequency nonsynonymous variants in MRPL38 (lead, rs34136221; P-EA=4.5x10(-8)) partially independent of known common signal (P-EA(conditional)=1.4x10(-3)). We further identified a locus at 2q33 containing common variants in NBEAL1, CARF, and WDR12 (lead, rs2351524; P-all=1.9x10(-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=2.8x10(-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.

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