Equilateral triangle as illustration of the metric space of IBD distributions

<p><b>Copyright information:</b></p><p>Taken from "Haseman-Elston weighted by marker informativity"</p><p></p><p>BMC Genetics 2005;6(Suppl 1):S50-S50.</p><p>Published online 30 Dec 2005</p><p>PMCID:PMC1866733.</p><p></p

Fine-mapping using the weighted average method for a case-control study-0

<p><b>Copyright information:</b></p><p>Taken from "Fine-mapping using the weighted average method for a case-control study"</p><p></p><p>BMC Genetics 2005;6(Suppl 1):S67-S67.</p><p>Published online 30 Dec 2005</p><p>PMCID:PMC1866715.</p><p></p>mes 1, 3, 5, and 9 in panels 1–4, respectively: blue line, Aipotu population, 100 cases and 100 controls; red line, Karangar population, 100 cases and 100 controls; green line, Danacaa population, 100 cases and 100 controls; brown line, the three samples pooled, 300 cases and 300 controls

The P-MTE and P-LFDR methods applied to the DA population, replicate 14, MS data

<p><b>Copyright information:</b></p><p>Taken from "Local false discovery rate and minimum total error rate approaches to identifying interesting chromosomal regions"</p><p></p><p>BMC Genetics 2005;6(Suppl 1):S23-S23.</p><p>Published online 30 Dec 2005</p><p>PMCID:PMC1866763.</p><p></p

Comparison of linkage signals between data with MS and SNP markers using the N-LFDR (DA population, replicate 85)

<p><b>Copyright information:</b></p><p>Taken from "Local false discovery rate and minimum total error rate approaches to identifying interesting chromosomal regions"</p><p></p><p>BMC Genetics 2005;6(Suppl 1):S23-S23.</p><p>Published online 30 Dec 2005</p><p>PMCID:PMC1866763.</p><p></p

Genome-wide linkage scan for genes affecting longitudinal trends in systolic blood pressure-0

<p><b>Copyright information:</b></p><p>Taken from "Genome-wide linkage scan for genes affecting longitudinal trends in systolic blood pressure"</p><p>http://www.biomedcentral.com/1471-2156/4/s1/S82</p><p>BMC Genetics 2003;4(Suppl 1):S82-S82.</p><p>Published online 31 Dec 2003</p><p>PMCID:PMC1866522.</p><p></p

Linkage analysis results for chromosome 9 using the model-free sib pair multi-point regression method of S

<p><b>Copyright information:</b></p><p>Taken from "Mapping susceptibility loci for alcohol consumption using number of grams of alcohol consumed per day as a phenotype measure"</p><p>http://www.biomedcentral.com/1471-2156/4/s1/S104</p><p>BMC Genetics 2003;4(Suppl 1):S104-S104.</p><p>Published online 31 Dec 2003</p><p>PMCID:PMC1866442.</p><p></p>A.G.E. (left panel) and the variance component method of GENEHUNTER (right panel)

Gand Eare the genetic and environmental influences common to all the components of MSX, respectively, while Gand Eare the genetic and environmental influences specific to each component

<p><b>Copyright information:</b></p><p>Taken from "Structural equation model-based genome scan for the metabolic syndrome"</p><p>http://www.biomedcentral.com/1471-2156/4/s1/S99</p><p>BMC Genetics 2003;4(Suppl 1):S99-S99.</p><p>Published online 31 Dec 2003</p><p>PMCID:PMC1866540.</p><p></p

Association of genetic variants with renal function in Africans and in Caucasians-4

End across genotypes using the ASSOC program in S.A.G.E. in models without additional covariates. GFR: glomerular filtration rate measured using inulin clearance. ERPF: effective renal plasma flow measured using PAH clearance. RVR: renal vascular resistance.<p><b>Copyright information:</b></p><p>Taken from "Association of genetic variants with renal function in Africans and in Caucasians"</p><p>http://www.biomedcentral.com/1755-8794/1/21</p><p>BMC Medical Genomics 2008;1():21-21.</p><p>Published online 2 Jun 2008</p><p>PMCID:PMC2424071.</p><p></p

Association of genetic variants with renal function in Africans and in Caucasians-2

Nel shows the pattern of linkage disequilibrium in the HapMap CEU panel. We imputed genotypes for all HapMap SNPs in the region around . In this region, linkage disequilibrium patterns in CoLaus were similar to the ones observed in HapMap, although they were resolved at a coarser scale due to lower SNP density. Since it was not computationally feasible to combine imputation and permutation approaches, we plot P values calculated assuming the normal linear model. For directly genotyped SNPs, the differences between calculated and permutation P values were small. The top three hits (and P values) are rs17327624 (0.0006), rs4148733 (0.0008) and rs17327442 (0.0008). The former two were directly genotyped and are in strong LD (D' = 0.96 in CoLaus and 1.00 in HapMap CEU, r= 0.63 and 0.72 respectively), and the imputed SNP rs17327442 is in perfect LD with rs17327624 in HapMap CEU.<p><b>Copyright information:</b></p><p>Taken from "Association of genetic variants with renal function in Africans and in Caucasians"</p><p>http://www.biomedcentral.com/1755-8794/1/21</p><p>BMC Medical Genomics 2008;1():21-21.</p><p>Published online 2 Jun 2008</p><p>PMCID:PMC2424071.</p><p></p

Association of genetic variants with renal function in Africans and in Caucasians-1

End across genotypes using the ASSOC program in S.A.G.E. in models without additional covariates. GFR: glomerular filtration rate measured using inulin clearance. ERPF: effective renal plasma flow measured using PAH clearance. RVR: renal vascular resistance.<p><b>Copyright information:</b></p><p>Taken from "Association of genetic variants with renal function in Africans and in Caucasians"</p><p>http://www.biomedcentral.com/1755-8794/1/21</p><p>BMC Medical Genomics 2008;1():21-21.</p><p>Published online 2 Jun 2008</p><p>PMCID:PMC2424071.</p><p></p