-
1
-
-
33644930552
-
Migraine with aura and migraine without aura are not distinct entities: Further evidence from a large Dutch population study
-
Ligthart L, Boomsma DI, Martin NG, et al. Migraine with aura and migraine without aura are not distinct entities: Further evidence from a large Dutch population study. Twin Res Hum Genet. 2006 ; 9: 54-63
-
(2006)
Twin Res Hum Genet
, vol.9
, pp. 54-63
-
-
Ligthart, L.1
Boomsma, D.I.2
Martin, N.G.3
-
2
-
-
1842431459
-
Latent class analysis does not support migraine with aura and migraine without aura as separate entities
-
Nyholt DR, Gillespie NA, Heath AC, et al. Latent class analysis does not support migraine with aura and migraine without aura as separate entities. Genet Epidemiol. 2004 ; 26: 231-244
-
(2004)
Genet Epidemiol
, vol.26
, pp. 231-244
-
-
Nyholt, D.R.1
Gillespie, N.A.2
Heath, A.C.3
-
3
-
-
0029980056
-
Migraine without aura and migraine with aura are distinct clinical entities: A study of four hundred and eighty-four male and female migraineurs from the general population
-
Russell MB, Rasmussen BK, Fenger K, et al. Migraine without aura and migraine with aura are distinct clinical entities: A study of four hundred and eighty-four male and female migraineurs from the general population. Cephalalgia. 1996 ; 16: 239-245
-
(1996)
Cephalalgia
, vol.16
, pp. 239-245
-
-
Russell, M.B.1
Rasmussen, B.K.2
Fenger, K.3
-
4
-
-
0036265722
-
Migraine without aura and migraine with aura are distinct disorders. A population-based twin survey
-
Russell MB, Ulrich V, Gervil M, et al. Migraine without aura and migraine with aura are distinct disorders. A population-based twin survey. Headache. 2002 ; 42: 332-336
-
(2002)
Headache
, vol.42
, pp. 332-336
-
-
Russell, M.B.1
Ulrich, V.2
Gervil, M.3
-
5
-
-
84881022482
-
Genome-wide meta-analysis identifies new susceptibility loci for migraine
-
Anttila V, Winsvold BS, Gormley P, et al. Genome-wide meta-analysis identifies new susceptibility loci for migraine. Nat Genet. 2013 ; 45: 912-917
-
(2013)
Nat Genet
, vol.45
, pp. 912-917
-
-
Anttila, V.1
Winsvold, B.S.2
Gormley, P.3
-
6
-
-
84903957329
-
SECA: SNP effect concordance analysis using genome-wide association summary results
-
Nyholt DR. SECA: SNP effect concordance analysis using genome-wide association summary results. Bioinformatics. 2014 ; 30: 2086-2088
-
(2014)
Bioinformatics
, vol.30
, pp. 2086-2088
-
-
Nyholt, D.R.1
-
7
-
-
77955894071
-
METAL: Fast and efficient meta-analysis of genomewide association scans
-
Willer CJ, Li Y, Abecasis GR. METAL: Fast and efficient meta-analysis of genomewide association scans. Bioinformatics. 2010 ; 26: 2190-2191
-
(2010)
Bioinformatics
, vol.26
, pp. 2190-2191
-
-
Willer, C.J.1
Li, Y.2
Abecasis, G.R.3
-
8
-
-
35348983887
-
A second generation human haplotype map of over 3.1 million SNPs
-
A second generation human haplotype map of over 3.1 million SNPs. Nature. 2007 ; 449: 851-861
-
(2007)
Nature
, vol.449
, pp. 851-861
-
-
-
9
-
-
67651222400
-
A flexible and accurate genotype imputation method for the next generation of genome-wide association studies
-
Howie BN, Donnelly P, Marchini J. A flexible and accurate genotype imputation method for the next generation of genome-wide association studies. PLoS Genet. 2009 ; 5: e1000529 - e1000529
-
(2009)
PLoS Genet
, vol.5
, pp. 1000529-e1000529
-
-
Howie, B.N.1
Donnelly, P.2
Marchini, J.3
-
10
-
-
78649508578
-
MaCH: Using sequence and genotype data to estimate haplotypes and unobserved genotypes
-
Li Y, Willer CJ, Ding J, et al. MaCH: Using sequence and genotype data to estimate haplotypes and unobserved genotypes. Genet Epidemiol. 2010 ; 34: 816-834
-
(2010)
Genet Epidemiol
, vol.34
, pp. 816-834
-
-
Li, Y.1
Willer, C.J.2
Ding, J.3
-
11
-
-
77952714079
-
GWAMA: Software for genome-wide association meta-analysis
-
Magi R, Morris AP. GWAMA: Software for genome-wide association meta-analysis. BMC Bioinformatics. 2010 ; 11: 288-288
-
(2010)
BMC Bioinformatics
, vol.11
, pp. 288-288
-
-
Magi, R.1
Morris, A.P.2
-
12
-
-
79959241413
-
Genomic inflation factors under polygenic inheritance
-
Yang J, Weedon MN, Purcell S, et al. Genomic inflation factors under polygenic inheritance. Eur J Hum Genet. 2011 ; 19: 807-812
-
(2011)
Eur J Hum Genet
, vol.19
, pp. 807-812
-
-
Yang, J.1
Weedon, M.N.2
Purcell, S.3
-
13
-
-
65249164859
-
Validating, augmenting and refining genome-wide association signals
-
Ioannidis JP, Thomas G, Daly MJ. Validating, augmenting and refining genome-wide association signals. Nat Rev Genet. 2009 ; 10: 318-329
-
(2009)
Nat Rev Genet
, vol.10
, pp. 318-329
-
-
Ioannidis, J.P.1
Thomas, G.2
Daly, M.J.3
-
14
-
-
65249183403
-
Meta-analysis in genome-wide association studies
-
Zeggini E, Ioannidis JP. Meta-analysis in genome-wide association studies. Pharmacogenomics. 2009 ; 10: 191-201
-
(2009)
Pharmacogenomics
, vol.10
, pp. 191-201
-
-
Zeggini, E.1
Ioannidis, J.P.2
-
15
-
-
34548292504
-
PLINK: A tool set for whole-genome association and population-based linkage analysis
-
Purcell S, Neale B, Todd-Brown K, et al. PLINK: A tool set for whole-genome association and population-based linkage analysis. Am J Hum Genet. 2007 ; 81: 559-575
-
(2007)
Am J Hum Genet
, vol.81
, pp. 559-575
-
-
Purcell, S.1
Neale, B.2
Todd-Brown, K.3
-
16
-
-
84863304598
-
-
R Development Core Team R Foundation for Statistical Computing, Vienna, Austria
-
R Development Core Team. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria, 2009.
-
(2009)
R: A Language and Environment for Statistical Computing
-
-
-
17
-
-
77957598638
-
Genome-wide association study of migraine implicates a common susceptibility variant on 8q22.1
-
Anttila V, Stefansson H, Kallela M, et al. Genome-wide association study of migraine implicates a common susceptibility variant on 8q22.1. Nat Genet. 2010 ; 42: 869-873
-
(2010)
Nat Genet
, vol.42
, pp. 869-873
-
-
Anttila, V.1
Stefansson, H.2
Kallela, M.3
-
18
-
-
84862976129
-
Genome-wide association analysis identifies susceptibility loci for migraine without aura
-
Freilinger T, Anttila V, de Vries B, et al. Genome-wide association analysis identifies susceptibility loci for migraine without aura. Nat Genet. 2012 ; 44: 777-782
-
(2012)
Nat Genet
, vol.44
, pp. 777-782
-
-
Freilinger, T.1
Anttila, V.2
De Vries, B.3
-
19
-
-
0029119352
-
Increased familial risk and evidence of a genetic factor in migraine
-
Russell MB, Olesen J. Increased familial risk and evidence of a genetic factor in migraine. BMJ. 1995 ; 311: 541-544
-
(1995)
BMJ
, vol.311
, pp. 541-544
-
-
Russell, M.B.1
Olesen, J.2
-
20
-
-
9144232545
-
Genetic and environmental influences on migraine: A twin study across six countries
-
Mulder EJ, Van Baal C, Gaist D, et al. Genetic and environmental influences on migraine: A twin study across six countries. Twin Res. 2003 ; 6: 422-431
-
(2003)
Twin Res
, vol.6
, pp. 422-431
-
-
Mulder, E.J.1
Van Baal, C.2
Gaist, D.3
-
21
-
-
79955860273
-
Random-effects model aimed at discovering associations in meta-analysis of genome-wide association studies
-
Han B, Eskin E. Random-effects model aimed at discovering associations in meta-analysis of genome-wide association studies. Am J Hum Genet. 2011 ; 88: 586-598
-
(2011)
Am J Hum Genet
, vol.88
, pp. 586-598
-
-
Han, B.1
Eskin, E.2
-
23
-
-
58149345887
-
Practical aspects of imputation-driven meta-analysis of genome-wide association studies
-
de Bakker PI, Ferreira MA, Jia X, et al. Practical aspects of imputation-driven meta-analysis of genome-wide association studies. Hum Mol Genet. 2008 ; 17: R122 - R128
-
(2008)
Hum Mol Genet
, vol.17
, pp. 122-R128
-
-
De Bakker, P.I.1
Ferreira, M.A.2
Jia, X.3
-
24
-
-
84859246571
-
Interpreting meta-analyses of genome-wide association studies
-
Han B, Eskin E. Interpreting meta-analyses of genome-wide association studies. PLoS Genet. 2012 ; 8: e1002555 - e1002555
-
(2012)
PLoS Genet
, vol.8
, pp. 1002555-e1002555
-
-
Han, B.1
Eskin, E.2
-
25
-
-
84893171486
-
Genetic risk score analysis indicates migraine with and without comorbid depression are genetically different disorders
-
Ligthart L, Hottenga JJ, Lewis CM, et al. Genetic risk score analysis indicates migraine with and without comorbid depression are genetically different disorders. Hum Genet. 2014 ; 133: 173-186
-
(2014)
Hum Genet
, vol.133
, pp. 173-186
-
-
Ligthart, L.1
Hottenga, J.J.2
Lewis, C.M.3
|