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1.
Pharmacogenomics J ; 8(3): 209-19, 2008 Jun.
Article in English | MEDLINE | ID: mdl-17549066

ABSTRACT

The significant worldwide health burden introduced by tobacco smoking highlights the importance of studying the genetic determinants of smoking behavior and the key factor sustaining compulsive smoking, that is, nicotine dependence (ND). We have here addressed the genetic background of smoking in a special study sample of twins, harmonized for early life events and specifically ascertained for smoking from the nationwide twin cohort of the genetically unique population of Finland. The twins and their families were carefully examined for extensive phenotype profiles and a genome-wide scan was performed to identify loci behind the smoking status, ND and the comorbid phenotype of ND and alcohol use in 505 individuals from 153 families. We replicated previous linkage findings on 10q (max logarithm of the odds (LOD) 3.12) for a smoker phenotype, and on 7q and 11p (max LOD 2.50, and 2.25, respectively) for the ND phenotype. The loci linked for ND also showed evidence for linkage for the comorbid phenotype. Our study provides confirmatory evidence for the involvement of these genome regions in the genetic etiology of smoking behavior and ND and for the first time associates drinking and smoking to a shared locus on 10q.


Subject(s)
Chromosomes, Human, Pair 10 , Chromosomes, Human, Pair 11 , Chromosomes, Human, Pair 7 , Genetic Linkage , Smoking/genetics , Tobacco Use Disorder/genetics , Twins/genetics , Chromosome Mapping , Female , Genotype , Humans , Lod Score , Male , Middle Aged , Phenotype
2.
J Med Genet ; 42(12): 932-9, 2005 Dec.
Article in English | MEDLINE | ID: mdl-15827092

ABSTRACT

BACKGROUND: Many genome-wide scans aimed at complex traits have been statistically underpowered due to small sample size. Combining data from several genome-wide screens with comparable quantitative phenotype data should improve statistical power for the localisation of genomic regions contributing to these traits. OBJECTIVE: To perform a genome-wide screen for loci affecting adult stature by combined analysis of four previously performed genome-wide scans. METHODS: We developed a web based computer tool, Cartographer, for combining genetic marker maps which positions genetic markers accurately using the July 2003 release of the human genome sequence and the deCODE genetic map. Using Cartographer, we combined the primary genotype data from four genome-wide scans and performed variance components (VC) linkage analyses for human stature on the pooled dataset of 1417 individuals from 277 families and performed VC analyses for males and females separately. RESULTS: We found significant linkage to stature on 1p21 (multipoint LOD score 4.25) and suggestive linkages on 9p24 and 18q21 (multipoint LOD scores 2.57 and 2.39, respectively) in males-only analyses. We also found suggestive linkage to 4q35 and 22q13 (multipoint LOD scores 2.18 and 2.85, respectively) when we analysed both females and males and to 13q12 (multipoint LOD score 2.66) in females-only analyses. CONCLUSIONS: We strengthened the evidence for linkage to previously reported quantitative trait loci (QTL) for stature and also found significant evidence of a novel male-specific QTL on 1p21. Further investigation of several interesting candidate genes in this region will help towards characterisation of this first sex-specific locus affecting human stature.


Subject(s)
Body Height/genetics , Chromosomes, Human, Pair 1 , Adult , Aged , Aged, 80 and over , Female , Genome, Human , Genotype , Humans , Lod Score , Male , Middle Aged , Quantitative Trait Loci , Sex Factors
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