ALBERT

Description: Human height variation is determined by genetic and environmental factors, but it remains unclear whether their influences differ across birth-year cohorts. We conducted an individual-based pooled analysis of 40 twin cohorts including 143,390 complete twin pairs born 1886–1994. Although genetic variance showed a generally increasing trend across the birth-year cohorts, heritability estimates (0.69-0.84 in men and 0.53-0.78 in women) did not present any clear pattern of secular changes. Comparing geographic-cultural regions (Europe, North America and Australia, and East Asia), total height variance was greatest in North America and Australia and lowest in East Asia, but no clear pattern in the heritability estimates across the birth-year cohorts emerged. Our findings do not support the hypothesis that heritability of height is lower in populations with low living standards than in affluent populations, nor that heritability of height will increase within a population as living standards improve.

Description: Abstract 4002 African-Americans (AA) have a 2–3-fold higher risk of multiple myeloma (MM) relative to Whites (Gebregziabher, 2006). We have formed a consortium and are conducting a multi-center study with 9 clinical centers and 4 NCI Surveillance, Epidemiology and End-Results (SEER) Program population-based cancer registries to determine the causes of the disease in this population and explain the excess risk (Myeloma in African-American Patients, MAP). Participation involves providing a blood or saliva specimen for DNA and answering a lifestyle and medical history questionnaire. At the end of the data collection period, a genome-wide scan will be performed and our results compared to those from 2,000 African-American controls participating in cohort studies. Patients with African ancestry (predominantly African-Americans) are identified from outpatient clinic rosters or from population-based cancer registries. For patients recruited at clinics, information on subtype, cytogenetics, FISH and lytic bone lesions is abstracted from medical records. To date, 601 patients have agreed to be in the study and we have received DNA samples from 592 patients; 54.6% are female and 45.4% are male. The mean age at diagnosis is 57 years (SD =11.2) with a median age at diagnosis of 58 years (range 27 to 90 years of age). Of the 514 subjects who completed a questionnaire, 7.8% were obese at age 20 (body mass index 〉 30) and 39% were obese 5 years prior to diagnosis. A first-degree relative with MM was reported by 17 cases (3%), 74% higher than the lifetime risk of 1.7% in the general population based on SEER data. In addition, cases reported 21 first-degree relatives with leukemia (4%), 7 with non-Hodgkin lymphoma (1%) and 14 with Hodgkin lymphoma (3%). To date, clinical information has been abstracted for 351 patients. Of these, 207 (58%) have active disease with the following distribution: stage I (30%), stage II (27%) and stage III (43%). The remainder have relapsed (13%), refractory (1%), relapsed and refractory (4%), or smoldering myeloma (6%), or are in remission (18%). The subtype distribution is: IgG (74%), IgA (11.4%), IgD (0.9%) and IgM (0.3%), and light chain only (13.5%); a distribution significantly different from that observed in a predominantly White population (P

Description: Abstract 1533 Survivors of adolescent/young adult Hodgkin lymphoma (AYAHL) report fewer exposures to infections during childhood compared to controls. They also have persistent genomic and functional aberrations in their lymphocytes that are partially attributable to chemotherapy or radiotherapy. Recent studies have shown that the gut microbiome can affect both the innate and adaptive immune response, and can suppress or exacerbate an inflammatory response. Given the central role of the gut microbiota in immune function, we investigated whether AYAHL survivors, who were members of 13 mono- and dizygotic twin pairs discordant for this disease, have differences in the diversity or phylogenetic configurations of their fecal microbiota compared to their unaffected co-twins. Twin pairs discordant for AYAHL are an ideal study population because they are at least partially matched on genetic and early life factors, both of which influence the composition of the gut microbiome. Pyrosequencing of bacterial 16S rRNA amplicons generated from single fecal samples obtained from each individual yielded 253,182 filtered and de-noised reads translated into species-level operational taxonomic units (OTUs). Standardized across individuals by random sampling, reads were assigned to 2513 OTUs to compare microbiome diversity and relative abundance of taxa. The number of OTU's was compared between twins using a paired student's t-test and a one-way analysis of variance was performed to determine whether such measures differed across twin pairs by comparing the measures between twins to those of randomly paired individuals. AYAHL survivors had less diverse fecal microbial communities compared to their unaffected co-twin controls by all measures of alpha diversity (Table 1). Measures that weighted the relative abundance of the bacteria were not statistically significantly different (Shannon Index, p= 0.270; Chao index, p= 0.066, PD Whole Tree Index, p= 0.051). However, when the unweighted number of unique OTUs was considered, the difference was significant (338 in cases vs. 369 in unaffected co-twin controls, p= 0.015). When the analysis was restricted to OTUs that were present at an abundance of 〉 0.1% in at least 2 of the 23 samples analyzed, the differences were attenuated, with only the PD Whole Tree index difference in diversity remaining marginally significant (p= 0.045). Only one bacterial taxon was associated with AYAHL, probably due to chance. Phylogenetic measurements indicated that the bacterial component of the microbiota of co-twins were more similar with respect to one another than unrelated individuals, although no differences by zygosity were observed. These results provide evidence that AYAHL survivors have reduced diversity of the gut microbiota, perhaps as a consequence the disease, its treatment, or a particularly hygienic environment. Table 1. Comparisons of alpha diversity measurements between Hodgkin lymphoma cases and co-twin controls. Measurements of Alpha Diversity Mean (Cases) Mean (Unaffected Co-twins) Mean Difference (Unaffected co-twin-case difference) P-value1 Initial analysis No. unique OTUs 338 369 31 0.015 Shannon index 5.6 5.8 0.2 0.27 Chao1 533 574 41 0.066 PD_whole tree 21.2 22.8 1.6 0.051 Conservative analysis No. unique OTUs 183 196 13 0.10 Shannon index 5.2 5.4 0.2 0.40 Chao1 230 237 7 0.47 PD_whole tree 13.7 14.6 0.9 0.045 1 P-value by paired t-tests. Disclosures: No relevant conflicts of interest to declare.

Description: Multiple myeloma (MM) is 2-3 times more common among African-Americans compared to non-Hispanic whites. The 2-3-fold increased risk among family members of cases suggests a genetic contribution to risk. Genome-wide association studies (GWAS) in populations of European ancestry have identified seven novel risk loci at 2p23.3 (rs6746082), 3q26.2 (rs10936599), 3p22.1 (rs1052501), 6p21.32 (rs2285803), 7p15.3 (rs4487645), 17p11.2 (rs4273077) and 22q13.1 (rs877529) (Broderick, et al. Nat Genet, 2011, Chubb, et al. Nat Genet, 2013), three of which were replicated in another European series (Martino et al., Br J Haematol, 2012). Here we examined the index signals and conducted fine-mapping for each locus in a case-control study of 1,049 multiple myeloma cases and 7,084 controls of African ancestry to identify better markers of risk and novel independent loci in seven previously reported regions in this high risk population. Incident cases were recruited from 10 clinical centers and SEER cancer registries from 2011 to 2013 and genotyped using the Illumina HumanCore GWAS array. Control data were obtained from previous genome-wide studies of breast and prostate cancer, genotyped using the Illumina 1M-Duo in 4425 male controls from the African Ancestry Prostate Cancer Consortium (consisting of 14 independent studies) and 2632 female controls from a breast cancer GWAS of African-American women (consisting of 9 independent studies). Imputation to 1000 Genomes (March 2012 release) was conducted for regions around six of the previously identified single nucleotide polymorphisms [SNPs] (the HLA region harboring rs2285803 is still being imputed, results will be presented). A case-control analysis of SNPs/indels 〉1% frequency within 250 kb of each index variant was conducted using unconditional multivariable logistic regression adjusting for age, sex and five leading principal components. Region-specific alpha levels were determined through permutation tests. The minimum alpha level across the six regions was α=0.002. All previously reported risk variants were common in African-Americans (minor allele frequency [MAF] 〉0.05). For five of the six SNPs, we had ≥94% power to detect the same effect observed in non-Hispanic whites, and 64% power for the less common variant rs10936599 (MAF=0.07). We observed directionally consistent effects (odds ratio [OR]〉1) for the six risk variants tested, with three replicating at p≤0.05 (7p15.3, p=1.4x10-7; 17p11.2, p=0.05; 22q13.1, p=0.02). For three of the six regions, we observed better markers of risk in African-Americans that were correlated with the index SNP in Europeans (7p15.3, rs56333627, p=1.5x10-5, r2=0.89; 17p11.2, rs34562254, p=2.9x10-3, r2=0.90; 22q13.1, rs2092410, p=1.1x10-4 r2=.71). The missense variant identified in the 17p11.2 region (rs34562254, Pro251Leu) is located in TNFRSF13B, which encodes the protein TACI, a B cell surface receptor which plays a role in B cell maturation, apoptosis and antibody production by inducing activation of transcription factors including NFAT and NFκβ. In addition, there is evidence suggesting that TACI is involved in MM pathogenesis. Our results demonstrate that many of the risk loci for MM found in European ancestry populations are also risk loci in men and women of African ancestry and that by fine-mapping, we are able to identify variants that better capture risk in populations of African ancestry. Disclosures Terebelo: Celgene Corp: Membership on an entity's Board of Directors or advisory committees. Lonial:Millennium: The Takeda Oncology Company: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Onyx Pharmaceuticals: Consultancy, Research Funding.

Description: Nodular sclerosing Hodgkin lymphoma (NSHL) is a distinct, highly heritable Hodgkin lymphoma subtype. We undertook a genome-wide meta-analysis of 393 European-origin adolescent/young adult NSHL patients and 3315 controls using the Illumina Human610-Quad Beadchip and Affymetrix Genome-Wide Human SNP Array 6.0. We identified 3 single nucleotide polymorphisms (SNPs) on chromosome 6p21.32 that were significantly associated with NSHL risk: rs9268542 (P = 5.35 × 10−10), rs204999 (P = 1.44 × 10−9), and rs2858870 (P = 1.69 × 10−8). We also confirmed a previously reported association in the same region, rs6903608 (P = 3.52 × 10−10). rs204999 and rs2858870 were weakly correlated (r2 = 0.257), and the remaining pairs of SNPs were not correlated (r2 〈 0.1). In an independent set of 113 NSHL cases and 214 controls, 2 SNPs were significantly associated with NSHL and a third showed a comparable odds ratio (OR). These SNPs are found on 2 haplotypes associated with NSHL risk (rs204999-rs9268528-rs9268542-rs6903608-rs2858870; AGGCT, OR = 1.7, P = 1.71 × 10−6; GAATC, OR = 0.4, P = 1.16 × 10−4). All individuals with the GAATC haplotype also carried the HLA class II DRB1*0701 allele. In a separate analysis, the DRB1*0701 allele was associated with a decreased risk of NSHL (OR = 0.5, 95% confidence interval = 0.4, 0.7). These data support the importance of the HLA class II region in NSHL etiology.

Description: Abstract 3636 Hodgkin lymphoma, especially the young adult type, is one of the most heritable cancers. We previously reported a high risk of Hodgkin lymphoma to monozygotic (MZ), but not dizygotic (DZ) co-twins of cases, and only a modest difference in risk between MZ and DZ co-twins of non-Hodgkin lymphoma (NHL) cases (Mack, 1995). After an additional 18 years of follow-up, we have now updated the observed occurrence of hematologic malignancies in the initially unaffected co-twins of HL, NHL, multiple myeloma (MM), and chronic lymphocytic leukemia (CLL) twin probands. The number of calendar and age-specific person-years at risk for each co-twin was calculated from the date of diagnosis of the proband to the date of last follow-up of the co-twin, defined by the last date of contact, date of death ascertained directly or from linkage with the National Death Index, or evidence of current vital status from a national tracing program. The expected number of cases was calculated by applying the calendar and age-specific incidence rates by 5-year interval categories for each hematologic neoplasm from the Surveillance, Epidemiology and End-Results Program to the person-years of risk. Diagnoses of hematological neoplasms in the co-twins by age and year were ascertained by direct follow-up augmented by a linkage with the National Death Index, using diagnoses categorized by the ICD-9 codes. The standardized incidence ratio (SIR) was computed as the observed to expected number of cases; 95% confidence intervals (CI) (Breslow and Day, 1987), and the risk ratio (RR) (ratio of the SIR in MZ co-twins compared to that in DZ co-twins) were calculated. Whereas the SIR for DZ co-twins measures the heritable and acquired components of risk to first-degree family members, the RR provides evidence of genetic heritability, based on the additional genomic commonality of MZ twins. A total of 364 (HL), 501 (NHL), 91 (MM), and 45 (CLL) co-twins of probands contributed to the analysis. The risk of developing the same hematologic neoplasm as the proband was generally higher in the MZ compared to the DZ co-twins, with the highest RR observed for HL (13.3) and the lowest for NHL (1.75). Although more than 10,000 person-years were added since the original paper, the RR's for HL and NHL did not change substantially from those reported in 1995. The RR for CLL was 3.3 suggesting moderately strong heritability. One MZ co-twin developed MM producing a large SIR, however chance cannot be easily ruled out. The findings of most interest are the continued very high risk of HL in MZ compared to DZ twins confirming the strong heritability of this neoplasm, and the relatively low RR for NHL. MZ and DZ co-twins of NHL probands had increased but similar SIR's, suggesting that shared environmental factors are more important than heritability. Subtype–specific information on the NHL type was not available from the ICD-9 codes used by the Death Index to identify new cases, so it is possible that stronger NHL heritability would be evident if subtypes were considered separately. Table 1. Occurrence of similar hematologic neoplasms in co-twins of lymphoma and chronic lymphocytic leukemia probands Neoplasm Type Zygosity No. at risk No. Cases Expected No. Cases Observed SIR1 (95% CI2) Risk Ratio: SIR1MZ/SIR1DZ Hodgkin lymphoma MZ 170 0.11 13 114.2 (60.7, 195.3) 13.3 DZ 194 0.12 1 8.6 (0.1, 47.6) Non-Hodgkin lymphoma MZ 213 0.51 6 11.8 (4.3, 25.7) 1.75 DZ 288 0.74 5 6.7 (2.2, 15.7) Multiple myeloma MZ 51 0.03 1 28.8 (0.38, 160,3) NA DZ 40 0.02 0 0 Chronic lymphocytic leukemia MZ 25 0.01 4 260.9 (70.2, 668,0) 3.3 DZ 20 0.01 1 79.8 (1.0, 444.0) 1 Standardized incidence ratio 2 95% Confidence intervals Disclosures: No relevant conflicts of interest to declare.

Description: Introduction African-American ethnicity, male sex, older age and obesity are accepted risk factors for multiple myeloma (MM). Obesity early in life is a risk factor for many cancers, including MM; most studies have focused on populations of European origin. African-Americans have a higher prevalence of obesity than other populations, and may have a distinct genetic contribution to this condition. We established a multi-center collaborative study to investigate possible explanations for the excess risk of MM among African-Americans. The aim of the present case-case analysis was to determine whether body mass index (BMI) was associated with risk factors and clinical characteristics at presentation in African-American MM patients. Methods Patients diagnosed with active MM since January 1, 2009 were recruited from nine outpatient centers and three Surveillance, Epidemiology, End-Results Program (SEER) population-based cancer registries. Information on weight and height at 20 years of age and at 5 years prior to diagnosis was obtained from questionnaires. Clinical information collected included age at diagnosis, stage, percent plasmacytosis on bone marrow biopsy, β2 microglobulin level, Ig serotype, light vs. heavy chain disease, and presence of lytic bone lesions. BMI (ht/wt2) was categorized into 3 levels (normal 30) according to World Health Organization standard. The Pearson chi-square test was used to test the association between BMI category, and risk factors and clinical characteristics. Mean ages at diagnosis across BMI categories were compared using linear regression and a t-test for trend calculated. Results To date, 1,044 African-American MM patients have been enrolled and of those, 1,014 provided a DNA sample. At present, 970 patients have completed a questionnaire, clinical records have been abstracted for 823 patients, and 509 patients have some information on gender, age at diagnosis, weight, height and clinical characteristics.The mean age at diagnosis was 59. Increasing BMI at age 20 was associated with younger age at diagnosis (p= 0.0004), whereas BMI at 5 years prior to diagnosis was not associated with age at diagnosis (p=0.9477). Among men, mean age at diagnosis decreased with increasing BMI at age 20 (p= 0.0125) (Table 1a) and at 5 years prior to diagnosis (p=0.0252) (Table 1b). Among women, the trend was signficant at age 20 (p=0.0018) (Table 1a) but not at 5 years prior to diagnosis (p= 0.7094) (Table 1b). Increasing BMI was not significantly associated with any other clinical characteristics. Conclusion/Discussion In a large collection of African-American MM patients, we observed a strong association between increasing BMI at age 20 and younger age at diagnosis. A similar trend was observed in men only at 5 years prior to diagnosis, consistent with previous reports. Obesity is one of the few known potentially modifiable risk factors for MM. Younger age at diagnosis reflects an earlier accumulation of either or both genetic and environmental risk factors. Obesity at an early age may influence MM risk through shared biological pathways such as interleukin-6 and insulin-like growth factor, by contributing to chronic B-cell activation, thereby increasing susceptibilty for MM later in life. The significance of the gender difference for the association closer to diagnosis is unclear and requires additional study. Disclosures: Terebelo: Amgen: Honoraria; Millennium: Honoraria. Mehta:Celgene: Speakers Bureau; Millennium: Speakers Bureau. Zonder:Skyline: Consultancy. Orlowski:Bristol-Myers Squibb: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Millennium: The Takeda Oncology Company: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Onyx: Honoraria, Membership on an entity’s Board of Directors or advisory committees, Research Funding; Resverlogix: Research Funding; Array Biopharma: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Genentech: Honoraria, Membership on an entity’s Board of Directors or advisory committees; Merck: Membership on an entity’s Board of Directors or advisory committees. Lonial:Celgene Corporation: Consultancy; Millennium: Consultancy; Novartis: Consultancy; Bristol Myers Squibb: Consultancy; Sanofi: Consultancy; Onyx: Consultancy.

Description: Both Hodgkin lymphoma (HL) and asthma are associated with relative isolation from early childhood infectious exposures (hygiene hypothesis) and a T-helper-2 (Th2)-skewed immune response. To test the hypothesis that there is some component of shared genetic etiology between HL and asthma, we examined the genetic overlap in data from genome-wide association study (GWAS) meta-analyses of the two diseases conducted in populations of European ancestry. The HL GWAS meta-analysis consisted of 1,816 HL cases and 7,877 controls, and the asthma GWAS meta-analysis consisted of 2,088 asthma cases and 2,743 controls. The combined HL-asthma GWAS data resulted in 904,634 common single nucleotide polymorphisms (SNPs) genotyped with both arrays. We observed a total of 9 common SNPs associated with both HL and asthma at p