Gene expression profiling of archived dried blood spot samples from the Danish Neonatal Screening Biobank.

A large part of the human genome is transcribed into various forms of RNA, and the global gene expression profile (GEP) has been studied for several years using technology such as RNA-microarrays. In this study, we evaluate whether neonatal dried blood spot (DBS) samples stored in the Danish Neonatal Screening Biobank (DNSB) can be used for GEP. This paper is divided into sub-studies examining the effects of: 1) different whole transcriptome amplification kits (WTA); 2) years of storage and storage in room temperature (RT) versus freezers (-20°C) on DNSB DBS samples; 3) effects of RT storage vs freezer storage on DBS samples from the USA and DNSB, and 4) using smaller disc sizes, thereby decreasing DBS use. We present evidence that reliable and reproducible GEPs can be obtained using neonatal DBS samples. The main source of variation is the storage condition. When samples are stored at -20°C, the dynamic range is increased, and Pearson correlations are higher. Differential analysis reveals no statistically significant differences between samples collected a decade apart and stored at -20°C. However, samples stored at RT show differential expression for a third of the gene-specific probes. Our data also suggests that using alternate WTA kits significantly changes the GEP. Finally, the amount of input material, i.e., the size and number of DBS discs used, can be reduced to preserve this valuable and limited material. We conclude that DNSB DBS samples provide a reproducible resource for GEP. Results are improved if the cards are stored at -20°C. Furthermore, it is important to use a single type of kit for analysis because using alternate kits introduces differential expression.

CCND2, CTNNB1, DDX3X, GLI2, SMARCA4, MYC, MYCN, PTCH1, TP53, and MLL2 gene variants and risk of childhood medulloblastoma.

Recent studies have described a number of genes that are frequently altered in medulloblastoma tumors and that have putative key roles in the development of the disease. We hypothesized that common germline genetic variations in these genes may be associated with medulloblastoma development. Based on recent publications, we selected 10 genes that were frequently altered in medulloblastoma: CCND2, CTNNB1, DDX3X, GLI2, SMARCA4, MYC, MYCN, PTCH1, TP53, and MLL2 (now renamed as KMT2D). Common genetic variants (single nucleotide polymorphisms) annotating these genes (n = 221) were genotyped in germline DNA (neonatal dried blood spot samples) from 243 childhood medulloblastoma cases and 247 control subjects from Sweden and Denmark. Eight genetic variants annotating three genes in the sonic hedgehog signaling pathway; CCND2, PTCH1, and GLI2, were found to be associated with the risk of medulloblastoma (P(combined) < 0.05). The findings were however not statistically significant following correction for multiple testing by the very stringent Bonferroni method. The results do not support our hypothesis that common germline genetic variants in the ten studied genes are associated with the risk of developing medulloblastoma.

Mannose-binding lectin gene, MBL2, polymorphisms are not associated with susceptibility to invasive pneumococcal disease in children.

BACKGROUND: Most children are transiently colonized with Streptococcus pneumoniae, but very few develop invasive pneumococcal disease (IPD). Host genetic variation of innate immunity may predispose to IPD. We investigated the effect of genetic variation in the mannose-binding lectin gene, MBL2, on susceptibility and disease severity of IPD in previously healthy children aged <5 years. METHODS: IPD cases were identified through national registries. DNA was obtained from the Danish Neonatal Screening Biobank. Pneumococcal serotypes were determined by Quellung reaction. The associations between MBL2 diplotypes and IPD susceptibility, serotypes, and outcome were investigated using logistic regression analysis. RESULTS: We included 372 cases with meningitis, 907 with bacteremia, and 1263 age- and sex-matched controls; 2372 individuals were successfully genotyped and assigned MBL2 diplotypes. The median age in our combined case series was 13 months. Children with defective diplotypes were not at higher risk for meningitis than children with other diplotypes (odds ratio [OR], 0.85; 95% confidence interval [CI], .56-1.28). Similar results were found for bacteremia (OR, 0.89; 95% CI, .68-1.15) as well as for all cases (OR, 0.87; 95% CI, .70-1.09). There was no association with susceptibility to recurrent IPD (n = 12) for children with defective diplotypes compared with cases with a single episode (OR, 0.53; 95% CI, .07-4.13) and with all controls (OR, 0.46; 95% CI, .06-3.56). There was no association between diplotypes and mortality or between diplotypes and pneumococcal serotypes. CONCLUSIONS: Defective MBL2 polymorphisms did not predict increased IPD susceptibility in children born in Northern Europe.

UGT1A1*28 polymorphism and acute lymphoblastic leukemia in children: a Danish case-control study.

BACKGROUND: Oxidative stress is a possible risk factor in the development of acute lymphoblastic leukemia (ALL) in children. Bilirubin is a potent endogenous antioxidant, and the UGT1A1*28 polymorphism is the main genetic cause of variation in plasma bilirubin in Western Europe. METHODS: In a case-control study of 665 incident cases of ALL in childhood in Denmark 1982-2010 and 1,379 controls, associations between UGT1A1*28 genotypes and ALL in childhood were estimated as odds ratios by logistic regression with adjustment for sex and birth decade. Subgroup analyses were carried out by age at onset in three groups, and on the ALL subtypes precursor B-cell, T-cell, and t(12;21) positive status. Cases were identified in The Danish Registry of Childhood Cancer, and genotypes were estimated from dried blood spots stored in The Danish Neonatal Screening Biobank. Controls were newborns with blood spots taken right before and after a case. RESULTS: We found no association between ALL in childhood and UGT1A1*28 genotypes. The odds ratio was 1.01 (0.88-1.17) for heterozygotes and 1.03 (0.78-1.36) for homozygotes. Also, no associations were found in the subgroup analyses. CONCLUSION: We found no association between the UGT1A1*28 genotypes and ALL in children.

Investigation of the involvement of MIR185 and its target genes in the development of schizophrenia.

BACKGROUND: Schizophrenia is a complex neuropsychiatric disorder of unclear etiology. The strongest known genetic risk factor is the 22q11.2 microdeletion. Research has yet to confirm which genes within the deletion region are implicated in schizophrenia. The minimal 1.5 megabase deletion contains MIR185, which encodes microRNA 185. METHODS: We determined miR-185 expression in embryonic and adult mouse brains. Common and rare variants at this locus were then investigated using a human genetics approach. First, we performed gene-based analyses for MIR185 common variants and target genes using Psychiatric Genomics Consortium genome-wide association data. Second, MIR185 was resequenced in German patients (n = 1000) and controls (n = 500). We followed up promising variants by genotyping an additional European sample (patients, n = 3598; controls, n = 4082). RESULTS: In situ hybridization in mice revealed miR-185 expression in brain regions implicated in schizophrenia. Gene-based tests revealed association between common variants in 3 MIR185 target genes (ATAT1, SH3PXD2A, NTRK3) and schizophrenia. Further analyses in mice revealed overlapping expression patterns for these target genes and miR-185. Resequencing identified 2 rare patient-specific novel variants flanking MIR185. However, follow-up genotyping provided no further evidence of their involvement in schizophrenia. LIMITATIONS: Power to detect rare variant associations was limited. CONCLUSION: Human genetic analyses generated no evidence of the involvement of MIR185 in schizophrenia. However, the expression patterns of miR-185 and its target genes in mice, and the genetic association results for the 3 target genes, suggest that further research into the involvement of miR-185 and its downstream pathways in schizophrenia is warranted.

Joint analysis of SNPs and proteins identifies regulatory IL18 gene variations decreasing the chance of spastic cerebral palsy.

Cerebral palsy (CP) is a permanent disorder, affecting 2-3 per 1,000 live born children, disturbing movement and posture. Spastic limbs affects about 70-80% of the CP children, and this group is the target of our study. CP is considered a multifactorial condition believed to be provoked by, for example, preterm birth, infection during pregnancy, neural disorders, and genetics, to mention some. Interestingly, the cytokine network is believed to be involved in many of these disorders. In this study, including 203 spastic CP cases and 167 controls, we measured the levels of 25 cytokine proteins, and genotyped 159 SNPs in their gene loci. Using logistic regression, we estimated the genetic association of SNP genotypes to spastic CP. In addition, fitting a Tobit regression model for each protein and each SNP in the respective gene loci, we estimated three regression coefficients corresponding three different effects of the genetic variation on the protein level. Intriguingly, two IL18 loci SNPs (rs549908:A>C and rs1290349:C>A) showed a protective effect against spastic CP, and interestingly both were associated to a decreased epidemiological expression of IL-18 protein. By joining protein data to genetic information, we have provided new data suggesting IL18's involvement in the pathogenesis of spastic CP.

Common variants at VRK2 and TCF4 conferring risk of schizophrenia.

Common sequence variants have recently joined rare structural polymorphisms as genetic factors with strong evidence for association with schizophrenia. Here we extend our previous genome-wide association study and meta-analysis (totalling 7 946 cases and 19 036 controls) by examining an expanded set of variants using an enlarged follow-up sample (up to 10 260 cases and 23 500 controls). In addition to previously reported alleles in the major histocompatibility complex region, near neurogranin (NRGN) and in an intron of transcription factor 4 (TCF4), we find two novel variants showing genome-wide significant association: rs2312147[C], upstream of vaccinia-related kinase 2 (VRK2) [odds ratio (OR) = 1.09, P = 1.9 × 10(-9)] and rs4309482[A], between coiled-coiled domain containing 68 (CCDC68) and TCF4, about 400 kb from the previously described risk allele, but not accounted for by its association (OR = 1.09, P = 7.8 × 10(-9)).

DNA methylome profiling using neonatal dried blood spot samples: a proof-of-principle study.

DNA methylation is the most common DNA modification and perhaps the best described epigenetic modification. It is believed to be important for genomic imprinting and gene regulation and has been associated with the development of diseases such as schizophrenia and some types of cancer. Neonatal dried blood spot samples, commonly known as Guthrie cards, are routinely collected worldwide to screen newborns for diseases. Some countries, including Denmark, have been storing the excess neonatal dried blood spot samples in biobanks for decades. Representing a high percentage of the population under a certain age, the neonatal dried blood spot samples are a potential alternative to collecting new samples to study diseases. As such, neonatal dried blood spot samples have previously been used for DNA genotyping studies with excellent results. However, the amount of material available for research is often limited, challenging researchers to generate the most data from a limited quantity of material. In this proof-of-principle study, we address whether two 3.2mm disks punched from a neonatal dried blood spot sample contain enough DNA for genome-wide methylome profiling, measuring 27,578 loci at the same time. We selected two subjects and carried out the following with each: 1) collected an adult whole-blood sample as reference, 2) spotted a fraction of the whole-blood sample onto a similar type of filter paper as used in the newborn screening and stored it for 3years to serve as a dried blood spot reference, and 3) identified the archived neonatal dried blood spot samples, stored for 26-28years, in the Danish Newborn Screening Biobank as a representative of the archived samples. For comparison, we used two different kits for DNA extraction. The DNA, extracted using the Extract-N-Amp Blood PCR kit, was analyzed, and no statistically significant differences were observed (P<0.001) when we compared the methylation profile of the reference whole-blood samples to the dried blood spot references. This indicates that two 3.2mm disks contain enough material for reliable methylome profiling and that storing the whole-blood sample on neonatal dried blood spot filter paper for 3years does not interfere with the outcome of the analysis. Furthermore, we compared the adult DNA methylation profile to the neonatal dried blood spot sample profile. Approximately 50 sites in the subjects were significantly (P<0.001) different in the newborn sample compared with the adult sample. Both being healthy adults and the high quality of the DNA methylation array led to the conclusion that the archived neonatal dried blood spot samples can be used for methylome profiling, despite decades of storage and DNA degradation. In conclusion, we show that reliable methylome data can be obtained from old neonatal dried blood spot samples, by using a reasonable amount of the limited resource. This further adds to the use of neonatal dried blood spot samples in genetic research and screening and paves the way for unique population-based studies of epigenetic modifications after birth.

Archived neonatal dried blood spot samples can be used for accurate whole genome and exome-targeted next-generation sequencing.

Dried blood spot samples (DBSS) have been collected and stored for decades as part of newborn screening programmes worldwide. Representing almost an entire population under a certain age and collected with virtually no bias, the Newborn Screening Biobanks are of immense value in medical studies, for example, to examine the genetics of various disorders. We have previously demonstrated that DNA extracted from a fraction (2×3.2mm discs) of an archived DBSS can be whole genome amplified (wgaDNA) and used for accurate array genotyping. However, until now, it has been uncertain whether wgaDNA from DBSS can be used for accurate whole genome sequencing (WGS) and exome sequencing (WES). This study examined two individuals represented by three different types of samples each: whole-blood (reference samples), 3-year-old DBSS spotted with reference material (refDBSS), and 27- to 29-year-old archived neonatal DBSS (neoDBSS) stored at -20°C in the Danish Newborn Screening Biobank. The reference samples were genotyped using an Illumina Omni2.5M array, and all samples were sequenced on a HighSeq2000 Paired-End flow cell. First, we compared the array single nucleotide polymorphism (SNP) genotype data to the single nucleotide variation (SNV) calls from the WGS and WES SNV calls. We also compared the WGS and WES reference sample SNV calls to the DBSS SNV calls. The overall performance of the archived DBSS was similar to the whole blood reference sample. Plotting the error rates relative to coverage revealed that the error rates of DBSS were similar to that of their reference samples. SNVs called with a coverage<×8 had error rates between 1.5 and 35%, whereas the error rates of SNVs called with a coverage≥8 were <1.5%. In conclusion, the wgaDNA amplified from both new and old neonatal DBSS perform as well as their whole-blood reference samples with regards to error rates, strongly indicating that neonatal DBSS collected shortly after birth and stored for decades comprise an excellent resource for NGS studies of disease.

The prevalence of mutations in KCNQ1, KCNH2, and SCN5A in an unselected national cohort of young sudden unexplained death cases.

INTRODUCTION: Sudden unexplained death account for one-third of all sudden natural deaths in the young (1-35 years). Hitherto, the prevalence of genopositive cases has primarily been based on deceased persons referred for postmortem genetic testing. These deaths potentially may represent the worst of cases, thus possibly overestimating the prevalence of potentially disease causing mutations in the 3 major long-QT syndrome (LQTS) genes in the general population. We therefore wanted to investigate the prevalence of mutations in an unselected population of sudden unexplained deaths in a nationwide setting. METHODS: DNA for genetic testing was available for 44 cases of sudden unexplained death in Denmark in the period 2000-2006 (equaling 33% of all cases of sudden unexplained death in the age group). KCNQ1, KCNH2, and SCN5A were sequenced and in vitro electrophysiological studies were performed on novel mutations. RESULTS: In total, 5 of 44 cases (11%) carried a mutation in 1 of the 3 genes corresponding to 11% of all investigated cases (R190W KCNQ1, F29L KCNH2 (2 cases), P297S KCNH2 and P1177L SCN5A). P1177L SCN5A has not been reported before. In vitro electrophysiological studies of P1177L SCN5A revealed an increased sustained current suggesting a LQTS phenotype. CONCLUSION: In a nationwide setting, the genetic investigation of an unselected population of sudden unexplained death cases aged 1-35 years finds a lower than expected number of mutations compared to referred populations previously reported. We therefore conclude that the prevalence of mutations in the 3 major LQTS associated genes may not be as abundant as previously estimated.

Whole-genome amplified DNA from stored dried blood spots is reliable in high resolution melting curve and sequencing analysis.

BACKGROUND: The use of dried blood spots (DBS) samples in genomic workup has been limited by the relative low amounts of genomic DNA (gDNA) they contain. It remains to be proven that whole genome amplified DNA (wgaDNA) from stored DBS samples, constitutes a reliable alternative to gDNA.We wanted to compare melting curves and sequencing results from wgaDNA derived from DBS samples with gDNA derived from whole blood. METHODS: gDNA was extracted from whole blood obtained from 10 patients with lone atrial fibrillation (mean age 22.3 years). From their newborn DBS samples, stored at -24°C, genomic DNA was extracted and whole-genome amplified in triplicates. Using high resolution melting curve analysis and direct sequencing in both wgaDNA and gDNA samples, all coding regions and adjacent intron regions of the genes SCN5A and KCNA5 were investigated. RESULTS: Altered melting curves was present in 85 of wgaDNA samples and 81 of gDNA samples. Sequence analysis identified a total of 31 variants in the 10 wgaDNA samples. The same 31 variants were found in the exact same pattern of samples in the gDNA group. There was no false positive or negative sequence variation in the wgaDNA group. CONCLUSIONS: The use of DNA amplified in triplicates from DBS samples is reliable and can be used both for high resolution curve melting analysis as well as direct sequence analysis. DBS samples therefore can serve as an alternative to whole blood in sequence analysis.

Robustness of genome-wide scanning using archived dried blood spot samples as a DNA source.

BACKGROUND: The search to identify disease-susceptible genes requires access to biological material from numerous well-characterized subjects. Archived residual dried blood spot (DBS) samples, also known as Guthrie cards, from national newborn screening programs may provide a DNA source for entire populations. Combined with clinical information from medical registries, DBS samples could provide a rich source for productive research. However, the amounts of DNA which can be extracted from these precious samples are minute and may be prohibitive for numerous genotypings. Previously, we demonstrated that DBS DNA can be whole-genome amplified and used for reliable genetic analysis on different platforms, including genome-wide scanning arrays. However, it remains unclear whether this approach is workable on a large sample scale. We examined the robustness of using DBS samples for whole-genome amplification following genome-wide scanning, using arrays from Illumina and Affymetrix. RESULTS: This study is based on 4,641 DBS samples from the Danish Newborn Screening Biobank, extracted for three separate genome-wide association studies. The amount of amplified DNA was significantly (P < 0.05) affected by the year of storage and storage conditions. Nine (0.2%) DBS samples failed whole-genome amplification. A total of 4,586 (98.8%) samples met our criterion of success of a genetic call-rate above 97%. The three studies used different arrays, with mean genotyping call-rates of 99.385% (Illumina Infinium Human610-Quad), 99.722% (Illumina Infinium HD HumanOmni1-Quad), and 99.206% (Affymetrix Axiom Genome-Wide CEU). We observed a concordance rate of 99.997% in the 38 methodological replications, and 99.999% in the 27 technical replications. Handling variables such as time of storage, storage conditions and type of filter paper were shown too significantly (P < 0.05) affect the genotype call-rates in some of the arrays, although the effect was minimal. CONCLUSION: Our study indicates that archived DBS samples from the Danish Newborn Screening Biobank represent a reliable resource of DNA for whole-genome amplification and subsequent genome-wide association studies. With call-rates equivalent to high quality DNA samples, our results point to new opportunities for using the neonatal biobanks available worldwide in the hunt for genetic components of disease.

Genome-wide scans using archived neonatal dried blood spot samples.

BACKGROUND: Identification of disease susceptible genes requires access to DNA from numerous well-characterised subjects. Archived residual dried blood spot samples from national newborn screening programs may provide DNA from entire populations and medical registries the corresponding clinical information. The amount of DNA available in these samples is however rarely sufficient for reliable genome-wide scans, and whole-genome amplification may thus be necessary. This study assess the quality of DNA obtained from different amplification protocols by evaluating fidelity and robustness of the genotyping of 610,000 single nucleotide polymorphisms, using the Illumina Infinium HD Human610-Quad BeadChip. Whole-genome amplified DNA from 24 neonatal dried blood spot samples stored between 15 to 25 years was tested, and high-quality genomic DNA from 8 of the same individuals was used as reference. RESULTS: Using 3.2 mm disks from dried blood spot samples the optimal DNA-extraction and amplification protocol resulted in call-rates between 99.15% - 99.73% (mean 99.56%, N = 16), and conflicts with reference DNA in only three per 10,000 genotype calls. CONCLUSION: Whole-genome amplified DNA from archived neonatal dried blood spot samples can be used for reliable genome-wide scans and is a cost-efficient alternative to collecting new samples.

Genotyping whole-genome-amplified DNA from 3- to 25-year-old neonatal dried blood spot samples with reference to fresh genomic DNA.

Stored surplus of dried blood spot (DBS) samples from neonatal screening programs constitute a vast potential for large genetic epidemiological studies. However, age of the samples and the small amounts of DNA available may limit their usage. In this study we validate genotyping accuracy and efficiency of whole-genome-amplified DNA (wgaDNA) obtained from stored DBS samples, with reference to fresh genomic DNA from the same individuals. DBS samples from 29 volunteers, stored for up to 25 years, in the Danish Neonatal Screening Biobank were included and three DNA extraction methods, each using one 3.2 mm disk, were evaluated. Four whole-genome amplification kits, and one re-amplification kit, were used. Thirty-one SNPs were genotyped using the Sequenom platform and the wgaDNA samples calls were compared with their references for accuracy and efficiency evaluation. The genotype calls done blinded by the user had in many setups a 100% call- and concordance rate. Our results showed that genotyping performance is dependent on the combination of extraction procedure and amplification method, whereas years of storage did not seem to influence in this study. Based on these results we conclude that DBS samples should be considered a reliable and potential resource for future genotyping studies.

A population-based association study of glutamate decarboxylase 1 as a candidate gene for autism.

Linkage studies, genome-wide scans and screening of possible candidate genes suggest that chromosome 2q31 may harbour one or more susceptibility genes for autism. The glutamate decarboxylase gene 1 (GAD1) located within chromosome 2q31 encodes the enzyme, GAD67, catalyzing the production of gamma-aminobutyric acid (GABA) from glutamate. Numerous independent findings have suggested the GABAergic system to be involved in autism. The present study investigates a Danish population-based, case-control sample of 444 subjects with childhood autism and 444 controls. Nine single nucleotide polymorphisms (SNPs) comprising the GAD1 gene and the microsatellite marker D2S2381 were examined for association with autism. We found no association between childhood autism and any single marker or 2-5 marker haplotypes. However, a rare nine-marker haplotype was associated with childhood autism. We cannot exclude neither GAD1 as a susceptibility gene nor the possibility of another susceptibility gene for autism to be located on chromosome 2q31.

Polymorphisms in the promoter region of relaxin-2 and preterm birth: involvement of relaxin in the etiology of preterm birth.

BACKGROUND: Circulating relaxin levels have repeatedly been associated with preterm birth (PTB). Our aim was to investigate if mothers carrying promoter single nucleotide polymorphisms (SNPs) in one of the three relaxin genes (RLN1, RLN2, RLN3) are predisposed for PTB. PATIENTS AND METHODS: Maternal DNA from 80 preterm cases (40 very preterm births (24-34 weeks) and 40 moderate preterm (34-36 weeks) and 40 controls (term delivery)) nested in the Danish National Birth Cohort were examined for nine SNPs. RESULTS: Maternal homozygosity of the rarer allele in the relaxin 2 gene (RLN2, rs10115467 and rs4742076) had an increased risk of moderate PTB (odds ratio 4.1 [95% CI 1.4-12] and 8.8 [95% CI 1.03-75] respectively). Only rs10115467 remained significant after correction for multiple testing. CONCLUSION: Women homozygous for prevalent SNPs in the RLN2 gene may have a genetic susceptibility for PTB.

Variable DNA methylation in neonates mediates the association between prenatal smoking and birth weight.

There is great interest in the role epigenetic variation induced by non-genetic exposures may play in the context of health and disease. In particular, DNA methylation has previously been shown to be highly dynamic during the earliest stages of development and is influenced by in utero exposures such as maternal smoking and medication. In this study we sought to identify the specific DNA methylation differences in blood associated with prenatal and birth factors, including birth weight, gestational age and maternal smoking. We quantified neonatal methylomic variation in 1263 infants using DNA isolated from a unique collection of archived blood spots taken shortly after birth (mean = 6.08 days; s.d. = 3.24 days). An epigenome-wide association study (EWAS) of gestational age and birth weight identified 4299 and 18 differentially methylated positions (DMPs) respectively, at an experiment-wide significance threshold of p < 1 × 10-7. Our EWAS of maternal smoking during pregnancy identified 110 DMPs in neonatal blood, replicating previously reported genomic loci, including AHRR. Finally, we tested the hypothesis that DNA methylation mediates the relationship between maternal smoking and lower birth weight, finding evidence that methylomic variation at three DMPs may link exposure to outcome. These findings complement an expanding literature on the epigenomic consequences of prenatal exposures and obstetric factors, confirming a link between the maternal environment and gene regulation in neonates. This article is part of the theme issue 'Developing differences: early-life effects and evolutionary medicine'.

Identification of common genetic risk variants for autism spectrum disorder.

Autism spectrum disorder (ASD) is a highly heritable and heterogeneous group of neurodevelopmental phenotypes diagnosed in more than 1% of children. Common genetic variants contribute substantially to ASD susceptibility, but to date no individual variants have been robustly associated with ASD. With a marked sample-size increase from a unique Danish population resource, we report a genome-wide association meta-analysis of 18,381 individuals with ASD and 27,969 controls that identified five genome-wide-significant loci. Leveraging GWAS results from three phenotypes with significantly overlapping genetic architectures (schizophrenia, major depression, and educational attainment), we identified seven additional loci shared with other traits at equally strict significance levels. Dissecting the polygenic architecture, we found both quantitative and qualitative polygenic heterogeneity across ASD subtypes. These results highlight biological insights, particularly relating to neuronal function and corticogenesis, and establish that GWAS performed at scale will be much more productive in the near term in ASD.

Discovery of the first genome-wide significant risk loci for attention deficit/hyperactivity disorder.

Attention deficit/hyperactivity disorder (ADHD) is a highly heritable childhood behavioral disorder affecting 5% of children and 2.5% of adults. Common genetic variants contribute substantially to ADHD susceptibility, but no variants have been robustly associated with ADHD. We report a genome-wide association meta-analysis of 20,183 individuals diagnosed with ADHD and 35,191 controls that identifies variants surpassing genome-wide significance in 12 independent loci, finding important new information about the underlying biology of ADHD. Associations are enriched in evolutionarily constrained genomic regions and loss-of-function intolerant genes and around brain-expressed regulatory marks. Analyses of three replication studies: a cohort of individuals diagnosed with ADHD, a self-reported ADHD sample and a meta-analysis of quantitative measures of ADHD symptoms in the population, support these findings while highlighting study-specific differences on genetic overlap with educational attainment. Strong concordance with GWAS of quantitative population measures of ADHD symptoms supports that clinical diagnosis of ADHD is an extreme expression of continuous heritable traits.

Polymorphisms in the tumor necrosis factor alpha and interleukin 1-beta promoters with possible gene regulatory functions increase the risk of preterm birth.

OBJECTIVE: To investigate the relation between 19 selected single nucleotide polymorphisms in three cytokine genes, tumor necrosis factor alpha (TNFA), interleukin 1-beta (IL1B) and interleukin 6 (IL6) and preterm birth (<37 weeks' gestation). DESIGN: Case-control association study. SAMPLE: A total of 117 singleton pregnant Danish Caucasian women, including 62 preterm birth cases and 55 controls (birth>or=37 weeks). METHODS: Genotyping was performed using TaqMan probes and traditional sequencing. Descriptive statistics were carried out with Fisher's exact test and Wilcoxon rank-sum test. All genetic data were tested for Hardy-Weinberg equilibrium and analyzed using logistic regression, 2x2 proportions or chi(2). Haplotypes were estimated for each gene and permutation used for association testing. RESULTS: Women carrying the TNFA -857 C>T rare allele (T) and those homozygous for the IL1B -31 T>C and IL1B -511 C>T rare alleles (C and T) have an increased risk of preterm birth with OR 3.1 (95% CI: 1.0-10.3) and OR 6.4 (95% CI: 1.3-60.5), respectively. Two estimated TNFA haplotypes were associated with preterm birth with OR 3.1 (p=0.037) and OR 2.7 (p=0.045). CONCLUSION: Polymorphisms in the cytokine genes TNFA and IL1B may increase the risk of preterm birth, possibly by a dysregulation of the immune system in pregnancy.