【发布时间】:2015-06-04 23:46:43
【问题描述】:
SELECT COUNT(DISTINCT cgi.sample_id 由于 Impala 不允许 SET 操作或 select 语句中的子查询,我很难弄清楚如何将列值除以返回的总行数。我的最终目标是计算每个 chr:start 位置的次要等位基因频率。
我的数据结构如下:
| chr | start | stop | ref | allele1seq | allele2seq | sample_id |
| 6 | 66720709 | 66720710 | A | A | T | 101-46-3 |
| 7 | 66720809 | 66720810 | GG | GA | GG | 101-46-3 |
我想做一些类似于下面查询的事情:
WITH vars as
(SELECT cgi.chr, cgi.start, concat(cgi.chr, ':', CAST(cgi.start AS STRING)) as pos, cgi.ref, cgi.allele1seq, cgi.allele2seq,
CASE
WHEN (cgi.allele1seq = cgi.ref AND cgi.allele2seq <> cgi.ref) THEN '1'
WHEN (cgi.allele1seq <> cgi.ref AND cgi.allele2seq = cgi.ref) THEN '1'
WHEN (cgi.allele1seq = cgi.ref AND cgi.allele2seq = cgi.ref) THEN '2'
ELSE '0' END as ma_count
FROM comgen_variants as cgi)
SELECT vars.*, (CAST(vars.ma_count as INT)/
((SELECT COUNT(DISTINCT cgi.sample_id) from comgen_variants as cgi) * 2)) as maf
FROM vars
我想要的输出在哪里:
| chr | start | ref | allele1seq | allele2seq | ma_count | maf |
| 6 | 66720709 | A | A | T | 1 | .05 |
| 7 | 66720809 | GG | GG | GG | 0 | 0 |
除了找出除以行数的方法外,我还需要将结果按 chr 和 pos 分组,然后计算每个替代等位基因(其中 allele1seq 和 allele2seq 不等于 ref)出现的次数就像我上面所说的那样简单地计算每行;但由于计数问题,我还没有走到那一步。
提前感谢您的帮助。
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