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Human610 quad v1.0 beadchip array

Manufactured by Illumina
Sourced in United States

The Human610-Quad v1.0 BeadChip array is a laboratory equipment product designed for high-throughput genotyping. It contains a solid substrate with a grid of beads, each harboring specific DNA probes to interrogate up to 610,000 genetic variants across the human genome.

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2 protocols using human610 quad v1.0 beadchip array

1

Genotyping and Association Analysis

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Genotyping was performed using Illumina Human610-Quad v1.0 BeadChip array (Illumina, San Diego, CA, USA).[8 (link)] The overall genotyping rate was 95.16%. After excluding rare (minor allele frequencies <5%) and low quality (call rate <90% and deviation from Hardy-Weinberg equilibrium P < 1e-3) variants, there are 533,687 remaining SNPs for the linear regression analysis. Using an additive genetic model, each SNP was tested for association to α-SMA expression and hepatic collagen content, respectively. The phenotypes were normalized with log base 10 transformation. Age, gender, body mass index, and the first two genetic principal components were adjusted as covariates for the association. SNPs with P value less than 1e-4 were considered as candidate loci for the following analysis. The quality control and association test was performed using the package PLINK 1.07 (http://pngu.mgh.harvard.edu/purcell/plink/).[12 (link)] The regional plots were generated using the package LocusZoom (http://csg.sph.umich.edu/locuszoom/).[13 (link)]
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2

Genotyping and Association Analysis

Check if the same lab product or an alternative is used in the 5 most similar protocols
Genotyping was performed using Illumina Human610-Quad v1.0 BeadChip array (Illumina, San Diego, CA, USA).[8 (link)] The overall genotyping rate was 95.16%. After excluding rare (minor allele frequencies <5%) and low quality (call rate <90% and deviation from Hardy-Weinberg equilibrium P < 1e-3) variants, there are 533,687 remaining SNPs for the linear regression analysis. Using an additive genetic model, each SNP was tested for association to α-SMA expression and hepatic collagen content, respectively. The phenotypes were normalized with log base 10 transformation. Age, gender, body mass index, and the first two genetic principal components were adjusted as covariates for the association. SNPs with P value less than 1e-4 were considered as candidate loci for the following analysis. The quality control and association test was performed using the package PLINK 1.07 (http://pngu.mgh.harvard.edu/purcell/plink/).[12 (link)] The regional plots were generated using the package LocusZoom (http://csg.sph.umich.edu/locuszoom/).[13 (link)]
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