Kristina Allen-Brady

Shared genomic segment analysis. Mapping disease predisposition genes in extended pedigrees using SNP genotype assays.

We examine the utility of high density genotype assays for predisposition gene localization using extended pedigrees. Results for the distribution of the number and length of genomic segments shared identical by descent among relatives previously derived in the context of genomic mismatch scanning are reviewed in the context of dense single nucleotide polymorphism maps. We use long runs of loci at which cases share a common allele identically by state to localize hypothesized predisposition genes. The distribution of such runs under the hypothesis of no genetic effect is evaluated by simulation. Methods are illustrated by analysis of an extended prostate cancer pedigree previously reported to show significant linkage to chromosome 1p23. Our analysis establishes that runs of simple single locus statistics can be powerful, tractable and robust for finding DNA shared between relatives, and that extended pedigrees offer powerful designs for gene detection based on these statistics.

PedGenie: an analysis approach for genetic association testing in extended pedigrees and genealogies of arbitrary size

BackgroundWe present a general approach to perform association analyses in pedigrees of arbitrary size and structure, which also allows for a mixture of pedigree members and independent individuals to be analyzed together, to test genetic markers and qualitative or quantitative traits. Our software, PedGenie, uses Monte Carlo significance testing to provide a valid test for related individuals that can be applied to any test statistic, including transmission disequilibrium statistics. Single locus at a time, composite genotype tests, and haplotype analyses may all be performed. We illustrate the validity and functionality of PedGenie using simulated and real data sets. For the real data set, we evaluated the role of two tagging-single nucleotide polymorphisms (tSNPs) in the DNA repair gene, NBS1, and their association with female breast cancer in 462 cases and 572 controls selected to be BRCA1/2 mutation negative from 139 high-risk Utah breast cancer families.ResultsThe results from PedGenie were shown to be valid both for accurate p-value calculations and consideration of pedigree structure in the simulated data set. A nominally significant association with breast cancer was observed with the NBS1 tSNP rs709816 for carriage of the rare allele (OR = 1.61, 95% CI = 1.10–2.35, p = 0.019).ConclusionPedGenie is a flexible and valid statistical tool that is intuitively simple to understand, makes efficient use of all the data available from pedigrees without requiring trimming, and is flexible to the types of tests to which it can be applied. Further, our analyses of real data indicate NBS1 may play a role in the genetic etiology of heritable breast cancer.

Significant Linkage Evidence for a Predisposition Gene for Pelvic Floor Disorders on Chromosome 9q21

Predisposition factors for pelvic floor disorders (PFDs), including pelvic organ prolapse (POP), stress urinary incontinence (SUI), urge urinary incontinence (UUI), and hernias, are not well understood. We assessed linkage evidence for PFDs in mostly sister pairs who received treatment for moderate-to-severe POP. We genotyped 70 affected women of European descent from 32 eligible families with at least two affected cases by using the Illumina 1 million single-nucleotide polymorphism (SNP) marker set. Parametric linkage analysis with general dominant and recessive models was performed by the Markov chain Monte Carlo linkage analysis method, MCLINK, and a set of SNPs was formed, from which those in high linkage disequilibrium were eliminated. Significant genome-wide evidence for linkage was identified on chromosome 9q21 with a HLOD score of 3.41 under a recessive model. Seventeen pedigrees (53%) had at least nominal evidence for linkage on a by-pedigree basis at this region. These results provide evidence for a predisposition gene for PFDs on chromosome 9q.

Heterogeneous association between engrailed-2 and autism in the CPEA network†‡

Autism is a neurodevelopmental disorder characterized by an early onset of abnormal social, communicative, and repetitive behavior. Engrailed‐2 (EN2) was identified as an autism candidate gene because its influence on cerebellar development in mice parallels neurodevelopmental abnormalities seen in individuals with autism. Studies investigating association between markers at EN2 (chr7q36), a location associated with language disorders, and autism reveal mixed findings. Two positive reports revealed association with two intronic SNPs. Since the associated SNPs were in high linkage disequilibrium and shared similar minor allele frequencies, we chose to test whether one of the SNPs (rs1861972) was associated with autism in three recruiting sites from the NIH Collaborative Programs of Excellence in Autism (CPEA) network. A recessive model revealed significant association with broad autism spectrum disorder. Site specific analyses indicated differential allele transmission by site, despite similar ethnicity, and parental genotypes, suggesting the SNP may contribute to various risk haplotypes. No significant association with autism was found under an additive model for either a broad (autism spectrum disorder) or a narrow (autistic disorder) diagnostic group. Although our findings were not as robust as the previous studies, they suggest that rs1861972 may influence the risk for autism spectrum disorders. Future studies investigating EN2 should consider how the association of variants in this gene with autism could be influenced by differences in phenotype and possible interactions with genotypes at other autism candidate genes. Published 2007 Wiley‐Liss, Inc.

Genome-wide linkage in Utah autism pedigrees

Genetic studies of autism over the past decade suggest a complex landscape of multiple genes. In the face of this heterogeneity, studies that include large extended pedigrees may offer valuable insights, as the relatively few susceptibility genes within single large families may be more easily discerned. This genome-wide screen of 70 families includes 20 large extended pedigrees of 6–9 generations, 6 moderate-sized families of 4–5 generations and 44 smaller families of 2–3 generations. The Center for Inherited Disease Research (CIDR) provided genotyping using the Illumina Linkage Panel 12, a 6K single-nucleotide polymorphism (SNP) platform. Results from 192 subjects with an autism spectrum disorder (ASD) and 461 of their relatives revealed genome-wide significance on chromosome 15q, with three possibly distinct peaks: 15q13.1–q14 (heterogeneity LOD (HLOD)=4.09 at 29 459 872 bp); 15q14–q21.1 (HLOD=3.59 at 36 837 208 bp); and 15q21.1–q22.2 (HLOD=5.31 at 55 629 733 bp). Two of these peaks replicate earlier findings. There were additional suggestive results on chromosomes 2p25.3–p24.1 (HLOD=1.87), 7q31.31–q32.3 (HLOD=1.97) and 13q12.11–q12.3 (HLOD=1.93). Affected subjects in families supporting the linkage peaks found in this study did not reveal strong evidence for distinct phenotypic subgroups.

Lobular breast cancer: Excess familiality observed in the Utah Population Database

Family history of breast cancer (BC) is a strong predictor for developing female BC. Whether this excess familiality differs within morphological BC subgroups remains unclear. We assessed the risk of lobular breast cancer (LOB) and any BC among relatives of probands with LOB. We used the Utah Population Database (UPDB) to estimate familial relative risks (FRR) as well as average relatedness, using the genealogical index of familiality (GIF) statistic. The UPDB, a population‐based resource, links genealogical data from over 2 million individuals to the Utah Cancer Registry. Consistent with other studies, analysis of all BC cases showed significantly increased risk of BC to relatives (first‐degree relative [FDR]: FRR = 1.83, 95% confidence interval [CI] = 1.75–1.90). Morphology‐specific risks showed that relatives of LOB probands had an increased risk of LOB (FDR: FRR = 4.51, 95% CI = 2.79–6.89) and an increased risk of any BC (FDR: FRR = 2.47, 95% CI = 2.12–2.85); both measures were significantly greater than the all BC FRR estimates, and surpassed even generalized early‐onset BC risk. GIF analyses corroborated the FRR results and indicated that the excess relatedness of LOB cases extended to third‐degree relatives. Our findings suggest that LOB has a heritable component and may represent a genetically homogeneous form of BC. Pedigrees with excess LOB may be useful in isolating additional BC predisposition genes. Relatives of women with LOB are at higher risk for BC than relatives of other BC subtypes; a more rigorous BC screening regime may be warranted for these individuals.

Genome-wide linkage using the Social Responsiveness Scale in Utah autism pedigrees

BackgroundAutism Spectrum Disorders (ASD) are phenotypically heterogeneous, characterized by impairments in the development of communication and social behaviour and the presence of repetitive behaviour and restricted interests. Dissecting the genetic complexity of ASD may require phenotypic data reflecting more detail than is offered by a categorical clinical diagnosis. Such data are available from the Social Responsiveness Scale (SRS) which is a continuous, quantitative measure of social ability giving scores that range from significant impairment to above average ability.MethodsWe present genome-wide results for 64 multiplex and extended families ranging from two to nine generations. SRS scores were available from 518 genotyped pedigree subjects, including affected and unaffected relatives. Genotypes from the Illumina 6 k single nucleotide polymorphism panel were provided by the Center for Inherited Disease Research. Quantitative and qualitative analyses were done using MCLINK, a software package that uses Markov chain Monte Carlo (MCMC) methods to perform multilocus linkage analysis on large extended pedigrees.ResultsWhen analysed as a qualitative trait, linkage occurred in the same locations as in our previous affected-only genome scan of these families, with findings on chromosomes 7q31.1-q32.3 [heterogeneity logarithm of the odds (HLOD) = 2.91], 15q13.3 (HLOD = 3.64), and 13q12.3 (HLOD = 2.23). Additional positive qualitative results were seen on chromosomes 6 and 10 in regions that may be of interest for other neuropsychiatric disorders. When analysed as a quantitative trait, results replicated a peak found in an independent sample using quantitative SRS scores on chromosome 11p15.1-p15.4 (HLOD = 2.77). Additional positive quantitative results were seen on chromosomes 7, 9, and 19.ConclusionsThe SRS linkage peaks reported here substantially overlap with peaks found in our previous affected-only genome scan of clinical diagnosis. In addition, we replicated a previous SRS peak in an independent sample. These results suggest the SRS is a robust and useful phenotype measure for genetic linkage studies of ASD. Finally, analyses of SRS scores revealed linkage peaks overlapping with evidence from other studies of neuropsychiatric diseases. The information available from the SRS itself may, therefore, reveal locations for autism susceptibility genes that would not otherwise be detected.

A role for XRCC2 gene polymorphisms in breast cancer risk and survival

Background The XRCC2 gene is a key mediator in the homologous recombination repair of DNA double strand breaks. It is hypothesised that inherited variants in the XRCC2 gene might also affect susceptibility to, and survival from, breast cancer. Methods The study genotyped 12 XRCC2 tagging single nucleotide polymorphisms (SNPs) in 1131 breast cancer cases and 1148 controls from the Sheffield Breast Cancer Study (SBCS), and examined their associations with breast cancer risk and survival by estimating ORs and HRs, and their corresponding 95% CIs. Positive findings were further investigated in 860 cases and 869 controls from the Utah Breast Cancer Study (UBCS) and jointly analysed together with available published data for breast cancer risk. The survival findings were further confirmed in studies (8074 cases) from the Breast Cancer Association Consortium (BCAC). Results The most significant association with breast cancer risk in the SBCS dataset was the XRCC2 rs3218408 SNP (recessive model p=2.3×10−4, minor allele frequency (MAF)=0.23). This SNP yielded an ORrec of 1.64 (95% CI 1.25 to 2.16) in a two-site analysis of SBCS and UBCS, and a meta-ORrec of 1.33 (95% CI 1.12 to 1.57) when all published data were included. This SNP may mark a rare risk haplotype carried by two in 1000 of the control population. Furthermore, the XRCC2 coding R188H SNP (rs3218536, MAF=0.08) was significantly associated with poor survival, with an increased per-allele HR of 1.58 (95% CI 1.01 to 2.49) in a multivariate analysis. This effect was still evident in a pooled meta-analysis of 8781 breast cancer patients from the BCAC (HR 1.19, 95% CI 1.05 to 1.36; p=0.01). Conclusions These findings suggest that XRCC2 SNPs may influence breast cancer risk and survival.

A role for XRCC4 in age at diagnosis and breast cancer risk

Genetic variants in DNA repair genes influence the ability to repair damaged DNA. Unrepaired or improperly repaired DNA may lead to genetic instability and carcinogenesis. We evaluated the role of four tagging single nucleotide polymorphisms (tSNP) in the DNA repair gene, XRCC4, and its association with breast cancer risk and age at diagnosis of breast cancer in 464 cases and 576 controls selected to be BRCA1/2 mutation negative from high-risk Utah pedigrees. We observed a significant association for two 4-locus tSNP haplotypes and age at diagnosis. Carriage of one haplotype was associated with later diagnosis (haplotype frequency, 0.039; mean age at diagnosis, 67.17 years; P = 0.001), and carriage of the other was associated with earlier diagnosis (haplotype frequency, 0.214; mean age at diagnosis, 54.04 years; P = 0.0085). For breast cancer risk, two 2-locus tSNP haplotypes explained the observed association as well as extended four-locus haplotypes. The two 2-locus haplotypes were nominally associated with breast cancer risk, one for reduced risk (odds ratio, 0.57; 95% confidence interval, 0.36-0.90; P = 0.014) and one for increased risk (odds ratio, 1.30; 95% confidence interval, 1.02-1.67; P = 0.033). Moreover, one of the tSNPs is in strong linkage disequilibrium (D′ = 1.00) with an XRCC4 SNP found to be significantly associated with breast cancer risk in Taiwan, hence, confirming their findings. Our results suggest that XRCC4 may play a role in the age at diagnosis and risk of breast cancer in non-BRCA1/2, heritable breast cancer cases. (Cancer Epidemiol Biomarkers Prev 2006;15(7):1306–10)

A breast cancer risk haplotype in the caspase-8 gene

Recent large-scale studies have been successful in identifying common, low-penetrance variants associated with common cancers. One such variant in the caspase-8 (CASP8) gene, D302H (rs1045485), has been confirmed to be associated with breast cancer risk, although the functional effect of this polymorphism (if any) is not yet clear. In order to further map the CASP8 gene with respect to breast cancer susceptibility, we performed extensive haplotype analyses using single nucleotide polymorphisms (SNP) chosen to tag all common variations in the gene (tSNP). We used a staged study design based on 3,200 breast cancer and 3,324 control subjects from the United Kingdom, Utah, and Germany. Using a haplotype-mining algorithm in the UK cohort, we identified a four-SNP haplotype that was significantly associated with breast cancer and that was superior to any other single or multi-locus combination (P=8.0 x 10(-5)), with a per allele odds ratio and 95% confidence interval of 1.30 (1.12-1.49). The result remained significant after adjustment for the multiple testing inherent in mining techniques (false discovery rate, q=0.044). As expected, this haplotype includes the D302H locus. Multicenter analyses on a subset of the tSNPs yielded consistent results. This risk haplotype is likely to carry one or more underlying breast cancer susceptibility alleles, making it an excellent candidate for resequencing in homozygous individuals. An understanding of the mode of action of these alleles will aid risk assessment and may lead to the identification of novel treatment targets in breast cancer.