Table 1 |
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|
Nicotine dependent vs control comparisons |
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|
Gene/Cluster |
Class |
Chr |
Bp |
Rep Pos Snps |
monte carlo p |
Description |
|
|
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|
CNTN6 |
CAM |
3 |
1,280,415 |
11 |
0.00059 |
contactin 6 |
|
LRRN1 |
CAM |
3 |
3,769,591 |
20 |
0.00007 |
leucine rich repeat neuronal 1 |
|
SEMA3C |
CAM |
7 |
80,111,952 |
9 |
0.00120 |
sema domain, immunoglobulin domain (Ig), short basic domain, secreted, (semaphorin) 3C |
|
CSMD1a |
CAM |
8 |
3,184,850 |
11 |
0.00083 |
CUB and Sushi multiple domains 1 |
|
CSMD1b |
CAM |
8 |
3,653,990 |
13 |
0.00095 |
CUB and Sushi multiple domains 1 |
|
PTPRD |
CAM |
9 |
8,310,837 |
13 |
0.00047 |
protein tyrosine phosphatase, receptor type, D |
|
LRRN6C$ |
CAM |
9 |
29,153,017 |
6 |
0.00118 |
leucine rich repeat neuronal 6C |
|
CDH13 |
CAM |
16 |
81,647,004 |
11 |
0.00198 |
cadherin 13, H-cadherin (heart) |
|
SIPA1L2 |
ENZ |
1 |
228,796,685 |
16 |
0.00040 |
signal-induced proliferation-associated 1 like 2 |
|
PDE4D |
ENZ |
5 |
58,461,253 |
4 |
0.00329 |
phosphodiesterase 4D, cAMP-specific (phosphodiesterase E3 dunce homolog, Drosophila) |
|
PDE1C |
ENZ |
7 |
31,648,914 |
8 |
0.00204 |
phosphodiesterase 1C, calmodulin-dependent 70 kDa |
|
PRKG1a |
ENZ |
10 |
52,485,930 |
5 |
0.00299 |
protein kinase, cGMP-dependent, type I |
|
PRKG1b |
ENZ |
10 |
52,986,999 |
10 |
0.00214 |
protein kinase, cGMP-dependent, type I |
|
ELMO1 |
PROT |
7 |
36,840,767 |
9 |
0.00243 |
engulfment and cell motility 1 (ced-12 homolog, C. elegans) |
|
MICALCL |
PROT |
11 |
12,241,526 |
7 |
0.00115 |
MICAL C-terminal like |
|
IMPACT* |
PROT |
18 |
20,182,039 |
9 |
0.0007 |
hypothetical protein IMPACT |
|
GRM7 |
REC |
3 |
6,934,982 |
5 |
0.00289 |
glutamate receptor, metabotropic 7 |
|
GPR154* |
REC |
7 |
34,383,589 |
4 |
0.00123 |
G protein-coupled receptor 154 |
|
HRH4* |
REC |
18 |
20,280,986 |
9 |
0.0007 |
histamine receptor H4 |
|
NFIB |
TF |
9 |
14,190,005 |
6 |
0.00274 |
nuclear factor I/B |
|
KCNQ3* |
CHA |
8 |
133,172,472 |
5 |
0.00114 |
potassium voltage-gated channel, KQT-like subfamily, member 3 |
|
4 |
||||||
|
SLC9A9 |
TRANSP |
3 |
144,947,291 |
12 |
0.00333 |
solute carrier family 9 (sodium/hydrogen exchanger), isoform 9 |
|
XKR5* |
TRANSP |
8 |
6,650,733 |
4 |
0.00063 |
XK, Kell blood group complex subunit-related family, member 5 |
|
ABCC4 |
TRANSP |
13 |
94,600,083 |
5 |
0.0035 |
ATP-binding cassette, sub-family C (CFTR/MRP), member 4 |
|
PTHB1 |
DIS |
7 |
33,369,755 |
21 |
0.00250 |
parathyroid hormone-responsive B1 |
|
ACTN2 |
STR |
1 |
233,147,888 |
5 |
0.00016 |
actinin, alpha 2 |
|
OC90* |
STR |
8 |
133,172,472 |
5 |
0.00114 |
otoconin 90 |
|
HHLA1* |
OTHER |
8 |
133,172,472 |
12 |
0.00114 |
HERV-H LTR-associating 1 |
|
DEFB1* |
OTHER |
8 |
6,650,733 |
5 |
0.00063 |
defensin, beta 1 |
|
FGF14 |
OTHER |
13 |
101,764,771 |
12 |
0.003 |
fibroblast growth factor 14 |
|
A2BP1 |
OTHER |
16 |
6,603,645 |
9 |
0.00171 |
ataxin 2-binding protein 1 |
|
OSBPL1A |
OTHER |
18 |
20,182,039 |
11 |
0.0007 |
oxysterol binding protein-like 1A |
|
|
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|
Nicotine dependent vs control comparisons from the current work add support to previous addict vs control association observations in specific genes. Genes and classes of genes that contain nominally positive (p < 0.005) SNPs in comparisons between nicotine dependent(n = 139) and control (n = 320) individuals in the current study and enhance the significance of previously-obtained whole genome association results for addiction. To be included in this list, the data from the current comparison needs to improve the nominal significance of 100000 Monte Carlo simulation trials by > 10 trials when the current data is added to data from four prior samples. Four prior samples are comprised of genes previously nominated to play roles in addiction based on reproducible nominally positive allele frequency differences between European-American, African-American and Japanese individuals who are dependent on illegal substances or alcohol. Genes in this table this contain: 1) SNPs that display p < 0.005 significance for differences between nicotine dependent and control individuals in the present study 2) clustered SNPs that displayed significant (p < 0.05) differences between both European-American and African-American NIDA polysubstance abusers vs controls in previous studies 3) SNPs that displayed p < 0.05 significance in 100k association genome scans of alcohol dependent vs control individuals (COGA [55]) and 4) SNPs that displayed p < 0.05 significance in 100k association genome scans of methamphetamine dependent vs control individuals (JGIDA [56]). Genes are identified when positive SNPs lie 1) within the gene's exons or introns or 2) in 3' or 5' flanking sequences that lay within 100 Kb of an annotated exon or extensions of the currently-annotated exons as described [22]. Genes are grouped by the class of the function to which they contribute: "CAM" cell adhesion, "ENZ" enzymes, "PROT" protein processing, "REC" receptors, "TF" transcriptional regulation, "CHA" channels, "TRANSP" transporters, "DIS" disease associated, "STR" structural, "OTHER" other functions. Chromosome number and initial chromosomal position for the cluster (bp, NCBI Mapviewer Build 35.1) are listed. Monte Carlo p values come from 100,000 simulation trials. In each trial, randomly selected sequences lying within randomly selected gene sequences of the same length displayed by the actual genomic segments analyzed here were assessed to determine whether or not they contained at least the number of positive SNPs actually identified for each gene cluster and gene. The frequency of trials in which at least the observed numbers of nominally-positive SNPs were identified in each of the four samples studied here was recorded to provide an empirical p value. Several genes are identified by the same clusters of positive SNPs; these genes are indicated with asterisk symbols. Several genes, identified in several lines of Table 1, contain multiple clusters of reproducibly positive SNPs; the clusters are designated by suffixes a, b etc. We note that the requirements for nominally-significant association signals in each of five samples and increasing significance based on data from the current nicotine dependent vs control comparisons are likely to increase the number of false-negative results; interesting genes that receive support from only four samples are not listed here, for example. |
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|
Uhl et al. BMC Genetics 2007 8:10 doi:10.1186/1471-2156-8-10 |
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