Using genome-wide data from 253,288 individuals, we identified 697 variants at genome-wide significance that together explain one-fifth of heritability for adult height. By testing different numbers of variants in independent studies, we show that the most strongly associated ~2,000, ~3,700 and ~9,500 SNPs explained ~21%, ~24% and ~29% of phenotypic variance. Furthermore, all common variants together captured the majority (60%) of heritability. The 697 variants clustered in 423 loci enriched for genes, pathways, and tissue-types known to be involved in growth and together implicated genes and pathways not highlighted in earlier efforts, such as signaling by fibroblast growth factors, WNT/beta-catenin, and chondroitin sulfate-related genes. We identified several genes and pathways not previously connected with human skeletal growth, including mTOR, osteoglycin and binding of hyaluronic acid. Our results indicate a genetic architecture for human height that is characterized by a very large but finite number (thousands) of causal variants.

Recently, we reported a method to estimate the proportion of phenotypic variance explained by all SNPs from genome-wide association studies, and estimated that half of the heritability for human height was captured by common SNPs. Here we partition genetic variation for height, body mass index (BMI), von Willebrand factor (vWF) and QT interval (QTi) onto chromosomes and chromosome segments, using 586,898 SNPs genotyped on 11,586 unrelated individuals. We estimate that ~45%, ~17%, ~25% and ~21% of variance in height, BMI, vWF and QTi, respectively, can be explained by considering all autosomal SNPs simultaneously, and a further ~0.5–1% by X-chromosome SNPs for height, BMI and vWF. We show that variance explained by each chromosome for height and QTi is proportional to the total gene length on that chromosome. In genome-wide analyses, common SNPs in or near genes explain more variation than SNPs between genes. We propose a novel approach to estimate variation due to cryptic relatedness and population stratification. Our results provide further evidence that a substantial proportion of heritability is accounted for by causal variants in linkage disequilibrium with common SNPs; that height, BMI and QTi are highly polygenic traits; and that the additive variation explained by a part of the genome is approximately proportional to the total length of DNA contained within genes therein.

Objective To estimate the association between maternal age and fetal death (spontaneous abortion, ectopic pregnancy, stillbirth), taking into account a woman's reproductive history. Design Prospective register linkage study. Subjects All women with a reproductive outcome (live birth, stillbirth, spontaneous abortion leading to admission to hospital, induced abortion, ectopic pregnancy, or hydatidiform mole) in Denmark from 1978 to 1992; a total of 634 272 women and 1 221 546 pregnancy outcomes. Main outcome measures Age related risk of fetal loss, ectopic pregnancy, and stillbirth, and age related risk of spontaneous abortion stratified according to parity and previous spontaneous abortions. Results Overall, 13.5% of the pregnancies intended to be carried to term ended with fetal loss. At age 42 years, more than half of such pregnancies resulted in fetal loss. The risk of a spontaneous abortion was 8.9% in women aged 20-24 years and 74.7% in those aged 45 years or more. High maternal age was a significant risk factor for spontaneous abortion irrespective of the number of previous miscarriages, parity, or calendar period. The risk of an ectopic pregnancy and stillbirth also increased with increasing maternal age. Conclusions Fetal loss is high in women in their late 30s or older, irrespective of reproductive history. This should be taken into consideration in pregnancy planning and counselling.

Case-parent trios were used in a genome wide association study of cleft lip with/without cleft palate (CL/P). SNPs near two genes not previously associated with CL/P [MAFB: most significant SNP rs13041247, with odds ratio per minor allele OR=0.704; 95%CI=0.635,0.778; p=2.05*10 −11 ; and ABCA4: most significant SNP rs560426, with OR=1.432; 95%CI=1.292,1.587; p=5.70*10 −12 ] and two previously identified regions (chr. 8q24 and IRF6) attained genome wide significance. Stratifying trios into European and Asian ancestry groups revealed differences in statistical significance, although estimated effect sizes were similar. Replication studies from several populations showed confirming evidence, with families of European ancestry giving stronger evidence for markers in 8q24 while Asian families showed stronger evidence for MAFB and ABCA4. Expression studies support a role for MAFB in palate development.Corresponding author: THB (tbeaty@jhsph.edu). NIH Public Access Author ManuscriptNat Genet. Author manuscript; available in PMC 2010 September 17. Published in final edited form as:Nat Genet. 2010 June ; 42(6): 525-529. doi:10.1038/ng.580. NIH-PA Author ManuscriptNIH-PA Author Manuscript NIH-PA Author ManuscriptCleft lip with or without cleft palate (CL/P) is a common human birth defect with documented genetic and environmental risk factors 1 . While CL/P can occur in many Mendelian malformation syndromes, the isolated, non-syndromic form constitutes 70% of all cases2. Evidence for genetic control of CL/P is compelling: recurrence risks are 20-30 times greater than population prevalences3 , 4 and both twin and family studies 5 suggest a major role for genes, Mutations in IRF6 cause VanderWoude syndrome, the most common Mendelian syndrome including CL/P, and markers in IRF6 have repeatedly shown evidence of association with isolated, non-syndromic CL/P 6-9 . An allele disrupting an AP2 binding site near IRF6 showed particularly strong evidence among European CL families, although multiple risk alleles are likely 10 .Birnbaum et al. 11 conducted a case-control genome wide association study (GWAS) in Germany and found significant evidence of association with markers in 8q24.21, and a US case-control GWAS confirmed this region 12 , with rs987525 being the most significant marker in both studies. Here we present a GWAS using a case-parent trio design in a consortium drawing cases from Europe, the US, China, Taiwan, Singapore, Korea and the Philippines. This design has the advantage of being robust to confounding due to population stratification, which is important when cases from diverse populations are combined. ResultsBecause these case-parent trios came from different populations (Table 1), we conducted a principal components analysis (PCA) on all parents to document genetic variation in our consortium (Supplementary Figure 1). Approximately 50% of parents could be classified as Asian and 45% as European, with remaining parents being of African or "other" ancestry (including mixed). Transmission disequilibrium tests...

Birth weight variation is influenced by fetal and maternal genetic and non-genetic factors, and has been reproducibly associated with future cardio-metabolic health outcomes. In expanded genome-wide association analyses of own birth weight (n=321,223) and offspring birth weight (n=230,069 mothers), we identified 190 independent association signals (129 novel). We used structural equation modelling to decompose the contributions of direct fetal and indirect maternal genetic effects, and then applied Mendelian randomization to illuminate causal pathways. For example, both indirect maternal and direct fetal genetic effects drive the observational relationship between lower birth weight and higher later blood pressure: maternal blood pressure-raising alleles reduce offspring birth weight, but only direct fetal effects of those alleles, once inherited, increase later offspring blood pressure. Using maternal birth weight-lowering genotypes to proxy for an adverse intrauterine environment provided no evidence that it causally raises offspring blood pressure, indicating that the inverse birth weight-blood pressure association is attributable to genetic effects, and not to intrauterine programming.