You could use the following SQL query for the UCSC mysql server:
$ mysql --user=genome --host=genome-mysql.cse.ucsc.edu -A -D hg19
mysql> select G.name,S.name,S.chrom,S.chromStart,S.func,S.submitters
from snp132 as S,
refGene as G
where
S.submitters like "%CSHL%" and
G.name = "NM_001130924" and
G.chrom=S.chrom and
S.chromStart>=G.txStart and S.chromEnd<=G.txEnd and
find_in_set(S.func,"missense")>0
;
+--------------+------------+-------+------------+----------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| name | name | chrom | chromStart | func | submitters |
+--------------+------------+-------+------------+----------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| NM_001130924 | rs4926472 | chr1 | 9670833 | missense | 1000GENOMES,BCMHGSC_JDW,BCM_SSAHASNP,BGI,COMPLETE_GENOMICS,CORNELL,CSHL-HAPMAP,ENSEMBL,HGSV,HUMANGENOME_JCVI,ILLUMINA,KRIBB_YJKIM,PERLEGEN,SC_SNP,SSAHASNP,WI_SSAHASNP, |
| NM_001130924 | rs11799995 | chr1 | 9673045 | missense | 1000GENOMES,AFFY,CSHL-HAPMAP,ENSEMBL,ILLUMINA,ILLUMINA-UK,KRIBB_YJKIM,PERLEGEN, |
+--------------+------------+-------+------------+----------+-------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
2 rows in set (40.89 sec)