Genome-wide scan and fine-mapping linkage study of androgenetic alopecia reveals a locus on chromosome 3q26.

Androgenetic alopecia (AGA, male pattern baldness) is the most common form of hair loss. The origin of AGA is genetic, with the X chromosome located androgen receptor gene (AR) being the only risk gene identified to date. We present the results of a genome-wide linkage study of 95 families and linkage fine mapping of the 3q21-q29, 11q14-q25, 18p11-q23, and 19p13-q13 regions in an extended sample of 125 families of German descent. The locus with strongest evidence for linkage was mapped to 3q26 with a nonparametric linkage (NPL) score of 3.97 (empirical p value = 0.00055). This is the first step toward the identification of new susceptibility genes in AGA, a process which will provide important insights into the molecular and cellular basis of scalp hair loss.

Heritability of carotid artery atherosclerotic lesions: an ultrasound study in 154 families.

BACKGROUND AND PURPOSE: Ultrasound examination of the carotid arteries yields several quantitative measures that may serve as intermediate phenotypes in genetic studies. This study was undertaken to compare the heritabilities of 3 ultrasound measures: intima-media thickness (IMT), plaque score, and maximal stenosis. METHODS: We studied 565 individuals from 154 families ascertained by an affected parent with carotid artery atherosclerosis. IMT, plaque score, and maximal stenosis of the carotid arteries were examined by B-mode ultrasound and analyzed quantitatively. Heritability estimates were obtained by variance component analysis as implemented in the program SOLAR (sequential oligogenic linkage analysis routines). Covariates were age, sex, weight, height, body mass index (BMI), arterial hypertension, diabetes mellitus, amount of nicotine consumed, and plasma levels of low-density lipoprotein (LDL) and high-density lipoprotein (HDL) cholesterol, LDL/HDL ratio, lipoprotein(a) [Lp(a)], triglycerides, factor VIII, factor XIII, fibrinogen, and von Willebrand factor (vWF). RESULTS: After accounting for the covariables age, sex, hypertension, diabetes mellitus, and Lp(a), heritability of IMT was estimated as h2=0.61+/-0.17 (P=0.001). Variation of plaque score was influenced by age, sex, hypertension, diabetes mellitus, hypercholesterolemia, amount of nicotine consumed, factor VIII, and vWF. When these were considered, no significant heritability could be detected. Heritability of stenosis was estimated as h2=0.47+/-0.07 (P=0.006), with age, sex, BMI, hypertension, diabetes mellitus, amount of nicotine consumed, and LDL/HDL ratio as covariates. CONCLUSIONS: Among the 3 ultrasound measures studied, IMT had the highest heritability. IMT was strongly influenced by genetic determinants other than those influencing known risk factors. This makes IMT a promising candidate for use as an intermediate phenotype in genetic studies aiming to identify novel genes for atherosclerosis.

Limited relevance of the CHEK2 gene in hereditary breast cancer.

To establish the importance of CHEK2 mutations for familial breast cancer incidence in the German population, we have screened all 14 of the coding exons in 516 families negative for mutations in both the BRCA1 and BRCA2 genes. We found 12 distinct variants in 30 unrelated patients (5.81%), including 5 that are novel and an additional 4 found for the first time in breast cancer. These aberrations were evaluated in 500 healthy women aged over 50 years and in the case of the 2 exon 10 mutations, 1100delC and 1214del4bp, in 1315 randomized healthy controls. According to our results, a statistically significant association for the exon 10 mutations was observed (p = 0.006). The prevalence of the 1100delC mutation in the German population, however, is significantly lower than those reported for other Caucasian populations both in familial breast cancer patients (1.6%) and controls (0.5%), and shows independent segregation with breast cancer in 2 of 4 families analyzed. The remaining 10 variants were more abundant in patients (21) compared to the controls (12) although the difference was not statistically significant. Interestingly, we found no increased breast cancer risk associated with the splice site mutation IVS2+1G-->A or the most common missense mutation I157T, which account for more than half (12/21) of the variants observed in patients. The low prevalence and penetrance of the exon 10 deletion mutations together with no, or an uncertain elevation in risk for other CHEK2 mutations suggests a limited relevance for CHEK2 mutations in familial breast cancer. Further evaluation of the unique variants observed in breast cancer is required to determine if they may play a role in a polygenic model of familial breast cancer. Nevertheless, it seems premature to include CHEK2 screening in genetic testing.

Family-based association studies of alpha-adrenergic receptor genes in chromosomal regions with linkage to bipolar affective disorder.

Several lines of evidence suggest an involvement of the noradrenergic neurotransmitter system in the pathogenesis of bipolar affective disorder (BPAD). Three genes for alpha-adrenergic receptors (ADRA) are located in chromosomal regions that showed evidence for linkage: The alpha(1c)-adrenergic (ADRA-1C) receptor gene on 8p21, the alpha(2a)-adrenergic (ADRA-2A) receptor gene on 10q25, and the alpha(2c)-adrenergic (ADRA-2C) receptor on 4p16. In a BPAD sample of 120 parent-offspring triads, we genotyped a 492 Cys/Arg variant in exon 2 of the ADRA-1C gene, a -1291 G/C variant in the 5'UTR of the ADRA-2A gene, and a STR marker (adra2c1) in the 5'UTR of the ADRA-2C gene. Using the Transmission Disequilibrium Test (TDT), no significant differences in transmissions were observed for any of the three ADRA genes.

Genetic analysis of phenotypes derived from longitudinal data: Presentation Group 1 of Genetic Analysis Workshop 13.

The participants of Presentation Group 1 used the GAW13 data to derive new phenotypes, which were then analyzed for linkage and, in one case, for association to the genetic markers. Since the trait measurements ranged over longer time periods, the participants looked at the time dependence of particular traits in addition to the trait itself. The phenotypes analyzed with the Framingham data can be roughly divided into 1) body weight-related traits, which also include a type 2 diabetes progression trait, and 2) traits related to systolic blood pressure. Both trait classes are associated with metabolic syndrome. For traits related to body weight, linkage was consistently identified by at least two participating groups to genetic regions on chromosomes 4, 8, 11, and 18. For systolic blood pressure, or its derivatives, at least two groups obtained linkage for regions on chromosomes 4, 6, 8, 11, 14, 16, and 19. Five of the 13 participating groups focused on the simulated data. Due to the rather sparse grid of microsatellite markers, an association analysis for several traits was not successful. Linkage analysis of hypertension and body mass index using LODs and heterogeneity LODs (HLODs) had low power. For the glucose phenotype, a combination of random coefficient regression models and variance component linkage analysis turned out to be strikingly powerful in the identification of a trait locus simulated on chromosome 5. Haseman-Elston regression methods, applied to the same phenotype, had low power, but the above-mentioned chromosome 5 locus was not included in this analysis.

Quantitative trait linkage analysis of longitudinal change in body weight.

One of the great strengths of the Framingham Heart Study data, provided for the Genetic Analysis Workshop 13, is the long-term survey of phenotypic data. We used this unique data to create new phenotypes representing the pattern of longitudinal change of the provided phenotypes, especially systolic blood pressure and body weight. We performed a linear regression of body weight and systolic blood pressure on age and took the slopes as new phenotypes for quantitative trait linkage analysis using the SOLAR package. There was no evidence for heritability of systolic blood pressure change. Heritability was estimated as 0.15 for adult life "body weight change", measured as the regression slope, and "body weight gain" (including only individuals with a positive regression slope), and as 0.22 for body weight "change up to 50" (regression slope of weight on age up to an age of 50). With multipoint analysis, two regions on the long arm of chromosome 8 showed the highest LOD scores of 1.6 at 152 cM for "body weight change" and of >1.9 around location 102 cM for "body weight gain" and "change up to 50". The latter two LOD scores almost reach the threshold for suggestive linkage. We conclude that the chromosome 8 region may harbor a gene acting on long-term body weight regulation, thereby contributing to the development of the metabolic syndrome.

Chronic recurrent multifocal osteomyelitis (CRMO): evidence for a susceptibility gene located on chromosome 18q21.3-18q22.

Chronic recurrent multifocal osteomyelitis (CRMO) is characterised by recurrent inflammatory lesions in the metaphyses of long bones and usually affects children and adolescents. Similarity with an autosomal recessive mouse disorder (cmo, chronic multifocal osteomyelitis) prompted us to perform a family based association study with two markers on chromosome 18q in the region homologous to the cmo localisation of the mouse. We found a significant association of CRMO with a rare allele of marker D18S60, resulting in a haplotype relative risk (HRR) of 18. This suggests the existence of a gene in this region contributing in a significant manner to the aetiology of CRMO and concomitantly demonstrates evidence for a genetic basis of CRMO for the first time. This gene is different from RANK, which is mutated in familial expansile osteolysis (FEO), but not in CRMO. Mutation screening in RANK and the genes PIGN and KIAA1468 led to detection of two variants (one in RANK and one in PIGN), which are in linkage disequilibrium with the rare D18S60 allele, but not independently associated with CRMO.

MRX42: two linkage intervals, one in the pericentromeric region and one in Xq26, and the impact for carrier risk estimation.

A nonspecific X-linked mental retardation (MRX) family is reported with four mild to moderately affected males and no intellectual impairment in their obligate carrier mothers. Linkage analysis obtained the same multipoint lod score of 2.08 for two intervals on the X chromosome already reported to be linked to other MRX and syndromic X-linked mental retardation (XLMR) families: one pericentromeric and the other at Xq26. Since the responsible gene is not yet characterized, haplotyping is presently the only means available for carrier and prenatal testing for this form of MRX. Carrier risk estimation using pedigree and haplotype data for five females at risk is presented, and the difficulties of prenatal diagnosis given linkage to two different regions is discussed.