Sanofi_Data

<p>Sequence data for genomic intervals covering two genes FAAH and MGLL in 289 individulas of European ancestry. </p

(<i>α</i> = 0.05) RV analysis when there is strong LD among the RVs.

<p>Power in table based on 10000 replicates for each situation with a number of non-causal RVs.</p

A sliding window analysis of FAAH gene for each method from top to bottom: BUR with <i>κ</i> = 0.95 (BUR95), BUR with <i>κ</i> = 0.99 (BUR99), Seq-aSum-VS, and Seq-aSum, SKAT-C, SKAT, and Sum.

<p>A window size of 1000 bp is used. The −log₁₀(p-value) for each window is plotted on the y-axis. The beginning genomic location of each window is plotted across the x-axis. Each point represents the −log₁₀(p-value) of one window.</p

A demonstration of benefit of model-averaging (bottom) compared to model selection (top).

<p>The simulation setup is described in Section 3.3. F denotes the start of each algorithm where all RVs are allocated to being ‘positive’ group (<i>s</i>_<i>j</i> = 1 for all <i>j</i>). The numbers above the directional arrows on the model-averaging figure are ratios indicating how likely a given allocation at the current step should be selected. The paths with the highest ratio and any “close” ratios are explored. <i>p</i>_<i>l</i> is the path weight given by multiplying ratios along a path and scaling them so that the sum of path weights equals 1. Sc_<i>l</i> is the score statistic for each path (See Section 2.2 for details).</p

(<i>α</i> = 0.05) Independent RV analysis.

<p>Power in table based on 10000 replicates for each situation with a number of non-causal RVs.</p

Density plot of model selection and BUR model-averaging approach test statistics under the null situation where all RVs are non-causal given a RV-set size of 4 (top), 16 (middle), or 28 (bottom).

<p>The x-axis is the value of the test statistic and the y-axis is the density of the distribution. Plotted in each figure are Seq-aSum-VS, BUR (<i>κ</i> = 0.95), and BUR (<i>κ</i> = 0.99) as solid, dotted, and dashed lines, respectively. The number of branches averaged over by these model-averaging approaches is in the upper right table of each plot.</p

A sliding window analysis of MGLL gene for each method from top to bottom: BUR with <i>κ</i> = 0.95 (BUR95), BUR with <i>κ</i> = 0.99 (BUR99), Seq-aSum-VS, and Seq-aSum, SKAT-C, SKAT, and Sum.

<p>A window size of 1000 bp is used. The −log₁₀(p-value) for each window is plotted on the y-axis. The beginning genomic location of each window is plotted across the x-axis. Each point represents the −log₁₀(p-value) of one window.</p

Lamatepec, ene.-dic. 1946, Epoca II, año X, XII, No. 136-147

Revista salvadoreña sobre temas relacionados al café, sus aspectos económicos, técnicos,cultivo,historia,Asociaciones e información variada.Esta es una publicación de la Junta Departamental de la "Asociación Cafetalera de El Salvador" y Portavoz de la Junta Departamental de la "Asociación de Ganaderos de El Salvador".— Todos los meses del año de 1946 guardados en un solo archivo. – Contenido : Enero, No. 136 (págs. 1-38) – Febrero, No. 137 (págs. 39-70) – Marzo, No. 138 (págs. 71-102) – Abril, No. (págs. 103-134) – Mayo, No. (págs. 135-166) – Junio No. (págs. 167-198) – Julio, No. 142 (págs. 199-230) – Agosto, No. 143 (págs. 231-262) – Septiembre, No. 144 (págs. 263-294) – Octubre, No. 145 (págs. 295-326) – Noviembre, No. 147 (págs. 359-388

FTO regional linkage disequilibrium (LD) and recombination rate.

<p>The LD is from HapMap rel. 27 and the recombination rate is from HapMap rel. 22. SNP position is based on NCBI build 36 of the human genome.</p

Percentage of cumulative BMI variance explained by sequentially added SNPs, shown from left to right, for (A) childhood BMI and (B) adulthood BMI.

<p>Solid line: percentage of cumulative explained BMI variance. Dashed line: percentage of single-variant explained BMI variance. The reference allele is indicated at the top of each column.</p