Search details
1.
Gene-mapping study of extremes of cerebral small vessel disease reveals TRIM47 as a strong candidate.
Brain
; 145(6): 1992-2007, 2022 06 30.
Article
in English
| MEDLINE | ID: mdl-35511193
2.
Whole exome sequencing study identifies novel rare and common Alzheimer's-Associated variants involved in immune response and transcriptional regulation.
Mol Psychiatry
; 25(8): 1859-1875, 2020 08.
Article
in English
| MEDLINE | ID: mdl-30108311
3.
Correction: Whole exome sequencing study identifies novel rare and common Alzheimer's-Associated variants involved in immune response and transcriptional regulation.
Mol Psychiatry
; 25(8): 1901-1903, 2020 Aug.
Article
in English
| MEDLINE | ID: mdl-31636380
4.
Global and Regional Development of the Human Cerebral Cortex: Molecular Architecture and Occupational Aptitudes.
Cereb Cortex
; 30(7): 4121-4139, 2020 06 01.
Article
in English
| MEDLINE | ID: mdl-32198502
5.
Association of variants in HTRA1 and NOTCH3 with MRI-defined extremes of cerebral small vessel disease in older subjects.
Brain
; 142(4): 1009-1023, 2019 04 01.
Article
in English
| MEDLINE | ID: mdl-30859180
6.
Functional annotation of genomic variants in studies of late-onset Alzheimer's disease.
Bioinformatics
; 34(16): 2724-2731, 2018 08 15.
Article
in English
| MEDLINE | ID: mdl-29590295
7.
Exome Chip Analysis Identifies Low-Frequency and Rare Variants in MRPL38 for White Matter Hyperintensities on Brain Magnetic Resonance Imaging.
Stroke
; 49(8): 1812-1819, 2018 08.
Article
in English
| MEDLINE | ID: mdl-30002152
8.
Comparison and integration of deleteriousness prediction methods for nonsynonymous SNVs in whole exome sequencing studies.
Hum Mol Genet
; 24(8): 2125-37, 2015 Apr 15.
Article
in English
| MEDLINE | ID: mdl-25552646
9.
In silico prediction of splice-altering single nucleotide variants in the human genome.
Nucleic Acids Res
; 42(22): 13534-44, 2014 Dec 16.
Article
in English
| MEDLINE | ID: mdl-25416802
10.
In silico tools for splicing defect prediction: a survey from the viewpoint of end users.
Genet Med
; 16(7): 497-503, 2014 Jul.
Article
in English
| MEDLINE | ID: mdl-24263461
11.
Genetic variants for head size share genes and pathways with cancer.
Cell Rep Med
; : 101529, 2024 May 03.
Article
in English
| MEDLINE | ID: mdl-38703765
12.
dbNSFP v2.0: a database of human non-synonymous SNVs and their functional predictions and annotations.
Hum Mutat
; 34(9): E2393-402, 2013 Sep.
Article
in English
| MEDLINE | ID: mdl-23843252
13.
Imaging Endophenotypes of Stroke as a Target for Genetic Studies.
Stroke
; 49(6): 1557-1562, 2018 06.
Article
in English
| MEDLINE | ID: mdl-29760278
14.
dbNSFP: a lightweight database of human nonsynonymous SNPs and their functional predictions.
Hum Mutat
; 32(8): 894-9, 2011 Aug.
Article
in English
| MEDLINE | ID: mdl-21520341
15.
Family-based association analysis of alcohol dependence in the COGA sample and replication in the Australian twin-family study.
J Neural Transm (Vienna)
; 118(9): 1293-9, 2011 Sep.
Article
in English
| MEDLINE | ID: mdl-21445666
16.
Multiomics integrative analysis identifies APOE allele-specific blood biomarkers associated to Alzheimer's disease etiopathogenesis.
Aging (Albany NY)
; 13(7): 9277-9329, 2021 Apr 12.
Article
in English
| MEDLINE | ID: mdl-33846280
17.
Association of low-frequency and rare coding variants with information processing speed.
Transl Psychiatry
; 11(1): 613, 2021 12 04.
Article
in English
| MEDLINE | ID: mdl-34864818
18.
Genome-wide association study of cognitive function in diverse Hispanics/Latinos: results from the Hispanic Community Health Study/Study of Latinos.
Transl Psychiatry
; 10(1): 245, 2020 07 22.
Article
in English
| MEDLINE | ID: mdl-32699239
19.
Cerebral small vessel disease genomics and its implications across the lifespan.
Nat Commun
; 11(1): 6285, 2020 12 08.
Article
in English
| MEDLINE | ID: mdl-33293549
20.
Genetic correlations and genome-wide associations of cortical structure in general population samples of 22,824 adults.
Nat Commun
; 11(1): 4796, 2020 09 22.
Article
in English
| MEDLINE | ID: mdl-32963231