At 9/10/14 05:29 AM, SadisticMonkey wrote:
At 9/5/14 11:56 AM, ChloeFlora wrote:
Sorry pal, that were not facts! That was your personal attitude!
Are you denying that the avergae IQs of african-american and hispanics (for whatever reason) are lower than that of whites and north-east asians?
So let me put it this way
gene expression studies have already been made concerning this particular topic measuring the very Transcription and expression of genes to get a comprehensive look at how each SNP effects gene expression.
What can the transcriptome tell us?
http://www.genome.gov/13014330
"The sequence of an RNA mirrors the sequence of the DNA from which it was transcribed. Consequently, by analyzing the entire collection of RNAs (transcriptome) in a cell, researchers can determine when and where each gene is turned on or off in the cells and tissues of an organism.
Depending on the technique used, it is often possible to count the number of transcripts to determine the amount of gene activity, also called gene expression, in a certain cell or tissue type."
This is what we did for the prefrontal cortex, (the most recently evolved part of our brains)
http://www.nih.gov/news/health/oct2011/nimh-26.htm
"Having at our fingertips detailed information about when and where specific gene products are expressed in the brain brings new hope for understanding how this process can go awry in schizophrenia, autism and other brain disorders," said NIMH Director Thomas R. Insel, M.D.
Both studies measured messenger RNAs (mrna)or transcripts. These intermediate products carry the message from DNA, the genetic blueprint, to create proteins and differentiated brain tissue. Each gene can make several transcripts, which are expressed in patterns influenced by a subset of the approximately 1.5 million DNA variations unique to each of us. This unique set of transcripts is called our transcriptome " a molecular signature that is unique to every individual. The transcriptome is a measure of the diverse functional potential that exists in the brain."
http://www.nature.com/nature/journal/v478/n7370/abs/nature10524.html
http://biostat.jhsph.edu/~jleek/papers/carlosbrain.pdf
"To explore the relationship between the genome as a whole and the
PFC transcriptome as a whole, we compared genetic distance and
transcriptional distance in all possible pairwise subject comparisons
(Fig. 4). Although individual SNPs clearly have an impact on the
expression of individual genes (Fig. 3 and Supplementary Table 6)
globally, there is no association of genetic distance between individual
humans with the similarity of their prefrontal transcriptional profiles
(Fig. 4, R2 5 0.002)"
Global comparison of genetic and transcriptional differences between subjects.
Each point represents a comparison of two subjects in the collection. Genetic
distance between subjects is depicted on the x axis as the number of differing
alleles over the portion of the genome interrogated. Transcriptional distance is
shown on the y axis as 1 minus the correlation across all gene expression values
from the subjects (as used in Fig. 1c). Each subject comparison is coloured to
indicate the races (AA, African American; Cauc., Caucasian) of the two
individuals involved in the comparison. The thick black curve is an estimate of
the local mean (loess, span 5 0.25) of transcriptional distance as it varies across
genetic distance. The thin black curves depict fits to the residuals around this
mean. Only African American and Caucasian sample comparisons are
visualized here (.96% of the collection)."
If you want an idea of how many SNP you can get in a Microarray study
"DNA resources and analysis. DNAfor genotyping was obtained from the cerebella
of 266 of the total 269 samples in the collection and applied to either Illumina
Infinium II 650K or Illumina Infinium HD Gemini 1M Duo BeadChips according
to manufacturer"s protocols. Only genotypes common to both platforms are
analysed here. Genotypes were called using BeadExpress software. SNPs were
removed if the call rate was ,98% (mean call rate for this study .99%), if not in
Hardy"Weinberg equilibrium (P , 0.001) within Caucasian and within African
American races separately, or not polymorphic (MAF ,0.01). The total number
of SNPs remaining in the analysis was
625,439 (96.2%)"
almost every SNP polymorphic for the human prefrontal cortex
There are other gene expression studies using Microarrays as well that repeat this process using race or ethnicity as a variable and they have similar findings.
http://www.nature.com/mp/journal/vaop/ncurrent/full/mp2013197a.html
"Large-scale association studies with cortical thickness in adolescents
Given that left-right asymmetry of the brain is a well-known phenomenon35,36 that may be triggered by left-right differential gene expression,37,38 we analyzed each hemisphere separately. Highest associations with left cortical thickness were found for SNPs on chromosome 15 (Figure 2a, Table 2 and Supplementary Figure 1), with one SNP, rs7171755 (^6;=W22;0.01973; P=1.12 " 10W22;7), passing the threshold of Bonferroni-corrected significance (the Bonferroni-adjusted significance threshold for association with the selected 54R01;837 SNPs, on the left and right hemispheres, was P=4.56 " 10W22;7). In the right hemisphere, highest associations with cortical thickness were found on chromosome 11 (Supplementary Figure 2); however, none remained significant after Bonferroni correction for multiple testing. rs7171755 was associated with right cortical thickness at P=3.22 " 10W22;4 (^6;=W22;0.0134; Table 2). Neither handedness nor ethnicity influenced this association. It is worth pointing out that our gene selection procedure resulted in significant gene enrichment: estimation of the variance explained by the SNPs using Genome-wide Complex Trait Analysis27 indicated that the 59R01;643 selected SNPs explain 13.3% (s.e.=0.093, P=0.02) of the total variance in left cortical thickness, a fivefold enrichment relative to the 22.2% (s.e.=0.195, P=0.03) variance explained by considering all 506R01;932 genotyped SNPs simultaneously."
https://www.eva.mpg.de/fileadmin/content_files/staff/paabo/pdf/Weickert_Transcriptome_MolPsych_2009.pdf
http://www.nature.com/mp/journal/v14/n6/abs/mp20095a.html
race, pH and postmortem interval (PMI) counted for only
< 2% of variance while gender accounted for ~8%
In light of this information I have to ask you do you have any microarray gene expression data that shows that races diverge significantly in terms of gene expression in the brain?