I want to use multivariate logistic regression for disease association (binary outcome) of HLA genes. I want to control effect of coexisting alleles of ethnicity haplotypes. Imagine that I have two genes (#layer1) and each gene has 4 alleles (#layer2) as bellow.

HLA-A

-A1

-A2

-A3

-A4

HLA-B

-B1

-B2

-B3

-B4

The problem is that since each person has 2 copies of allele, #layer2 items are not mutually exclusive and therefore this layer should be multivariate in turn (of course if use genotypes, only #layer1 would be multivariate and therefore #layer2 items are numbered as members of #layer1 variables. I have previously done this work Article Association of FOXP3 gene polymorphisms with risk of preecla...

table 4).

I can consider #layer2 as the only layer and number the members of each variable as 0 (neg) and 1 (pos) like the above paper as bellow.

A1

0

1

A2

0

1

...

and separately for HLA-B

...

However, both layers are important to me. Because I want to remove confounding effect of both couple alleles and ethnicity associated haplotypes.

What should I do?

I am not familiar with stata commands. Please answer me via stata menus.

Kind regards!

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