There are a few situations where a large, heterogeneous sample may show
some false associations (associations only by chance) such as Genome
Wide Association Studies (GWAS). In a GWAS, people the health issue in
question (they have been done for schizophrenia, high BMI, etc) are
genotyped, and those that are more common than in the general population
are flagged. Much of the time, when there are more careful studies, the
contributions of the alleles identified in GWAS studies are found to be
negligible or negative. New studies use some statistical methods to help
compensate for the higher risk of associations by chance, such as
lowering the p value for statistical significance when multiple
traits/genes/characteristics are simultaneously studied in a large group.

Science can be tricky.

Catherine Watson Genna BS, IBCLC  NYC  www.cwgenna.com

On 5/27/2015 11:39 PM, Felicia Henry wrote:
> Um . . . since when has a large study size been a problem?!?  I was at an
> area LLL conference and one of the speakers was commenting how she had a
> study she did and was told that since there was 'only' 24 moms it was too
> small to get any useful info.  Most concrane (okay spelled totally wrong I
> hope you know what I mean) have thousands.  So this seems like I don't like
> the results so I will make up reasons it has to be wrong.
>
>
>
> Felicia L Henry, BCCE, IBCLC
>
> Oxnard, CA
>
>
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