Genome-Wide Association Analysis of Biomarkers in the InCHIANTI and BLSA

Version 1 The aim of this study was to identify gene(s) associated with serum iron concentrations. This dataset contains the results from a meta-analysis of 1919 subjects from the InCHIANTI and Baltimore Longitudinal Study of Aging (BLSA). Both studies are population based prospective studies that evaluate the contributors of normal aging. Version 2 We performed genome wide analysis of 93 circulating biomarkers in the InCHIANTI study of 1210 individuals, after imputation from the 1000 genomes project.]]>
To investigate genetic variants that affect iron concentrations in persons not affected by overt genetic disorders of iron metabolism, a genome-wide association study was conducted in participants of European descent from the InCHIANTI Study (N=1206) and the Baltimore Longitudinal Study of Aging (BLSA, N=713). Genome-wide data from each study was filtered if they deviated from Hardy Weinberg Equilibrium (P <0.0001), had low call rate (<99%) or low minor allele frequency (MAF < 1%). The resulting 475,322 autosomal SNPs that passed quality control were used for association analysis.
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
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In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
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In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
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In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>
In addition, we compare findings obtained by association analysis based on HapMapimputation with 1000-Genomes imputation to determine whether loci have been missed by previous GWA studies that have analysed variants catalogued only in the HapMap Project. We use participants from the longitudinal population-based InCHIANTI study (N=1210).
The results displayed here are from the markers printed on HumanHap550v3 chip. Their p-values need to be less or equal to 0.01. The full data set, including ones from imputed loci, are available in dbGaP for authorized users.
]]>This analysis was conducted in subjects of European ancestry with genetic data and biomarker measurements.]]>