You can do it with tabix and vcftools.

Isolate SNPs for your region:

tabix -fh ftp://ftp-trace.ncbi.nih.gov/1000genomes/ftp/release/20101123/interim_phase1_release/ALL.chr12.phase1.projectConsensus.genotypes.vcf.gz 12:2345295-2345295 > genotypes.vcf

Change these values for your region: 12:2345295-2345295.

Isolate Individuals:

vcftools_0.1.4a/perl/vcf-subset -c NA06984,NA069860 genotypes.vcf > temp.vcf

NA06984,NA069860 are your individuals.

Extract in others format:

vcftools_0.1.4a/cpp/vcftools --vcf temp.vcf --plink --out Output

You can change the output format: vcftools.sourceforge.net/options.html

Have a look also to the 1KG project page explaining how to get a subsection of VCF file (e.g. on a given chromosome, loci range).

Link: how-do-i-get-sub-section-vcf-file

Regards.

You can download the SNP files in vcf format from their [?]ftp[?].

You can also view the SNP data from their 2010 study using their [?]genome browser[?]

You can read about how they did the SNP calling [?]here[?]

It was such a collaborative project with sequencing data from various sources, I don't think any strong case can be made as to which individual has much better data than another.