The identification of human sequence polymorphisms that regulate gene expression is key to understanding human genetic diseases. We report a survey of human genes that demonstrate allelic differences in gene expression, reflecting the presence of putative allele-specific cis-acting factors of either genetic or epigenetic nature. The expression of allelic transcripts in heterozygous samples is assessed directly by relative quantitation of intragenic marker alleles in messenger or heteronuclear RNA derived from cells or tissues. This survey used 193 single-nucleotide polymorphisms (SNPs) from 129 genes expressed in lymphoblastoid cell lines, to identify 23 genes (18%) with common allele-specific transcripts whose expression deviated from the expected equimolar ratio. A subset of these deviations, or “allelic imbalances,” can be observed in multiple samples derived from reference CEPH (“Centre d’Etude du Polymorphisme Humain”) pedigrees and demonstrate a spectrum of patterns of transmission, including cosegregation of allelic skewing across generations compatible with Mendelian inheritance as well as random monoallelic expression for three genes ( IL1A, HTR2A, and FGB). Additional studies for BTN3A2 provide evidence of SNPs and haplotypes in complete linkage disequilibrium with high- and low-expressing transcripts. The pipeline described herein offers tools for efficient identification and characterization of allelic expression allowing identification of regulatory sequence variants as well as epigenetic variation affecting human gene expression.

To investigate the genetic influence on X chromosome inactivation and on age-related skewing of X inactivation, in particular, we analysed the X inactivation pattern (XIP) in peripheral blood cells from 118 young monozygotic (MZ) twin pairs (18–53 years), 82 elderly MZ twin pairs (55–94 years), 146 young dizygotic (DZ) twin pairs (20–54 years) and 112 elderly DZ twin pairs (64–95 years). Elderly twins had a higher frequency of skewed X inactivation (34%) than young twins (15%) (P<0.001). Our data suggest that the increase in skewing occurs after age 50–60 years. The intraclass correlation was 0.61 and 0.58 in young and elderly MZ twin pairs, and 0.08 and 0.09 in young and elderly DZ twin pairs. Biometric analysis showed that dominant genetic effects accounted for 63 and 58% of the variance of XIP in the young and elderly twin pairs, respectively. The dominant genetic effect and the shared environment for monochorionic MZ twins may explain the high intraclass correlation for the MZ twin pairs compared to the DZ twin pairs. We did not observe a significant decrease in the intraclass correlation in elderly MZ twins compared to young MZ twins, which would be expected if age-related skewing were due to stochastic factors. We conclude that the increased skewing with age implies that a genetically dependent selection of blood cells take place.

In an attempt to identify new genes responsible for variability in pain sensitivity, we tested three congenic mouse strains--in which a small portion of the genome of the MOLF/Ei strain has been placed on a C57BL/6 genetic background--on a battery of nine nociceptive assays, chosen to reflect those assays in most common use in the pain literature. Mice of both sexes were evaluated by two different testers at different points in time, allowing us to examine the relative importance of genotype, sex, tester and cohort effects on data from these assays. We find strong evidence for the existence of two quantitative trait loci (i.e., genomic regions containing variability-causing genes), one for thermal nociception on mouse chromosome (Chr) 17 (Chr 17; Tpnr3) and one for formalin test nociception on mouse Chr 12 (Nociq3). We note, however, that the nociceptive assays in this battery feature strong main effects and interactions of sex, tester, and cohort, which if not controlled or covaried can seriously confound interpretation of genetic experiments, including the comparison of transgenic knockout mice to their wild-type controls.