Summary statistics for Polygenic and developmental profiles of autism differ by age at diagnosis

Summary statistics for Zhang et al., Nature, 2025.Earlier_diagnosed_autism.txt: GWAS generated from a genomicSEM model representing earlier diagnosed autismLater_diagnosed_autism.txt: GWAS generated from a genomicSEM model representing later diagnosed autismSPARK_agediagnosis_meta.txt: GWAS of age at diagnosis from SPARKFor all datasets, A1 = effect allele, A2 = non-effect allele. Allele frequencies and Effects are with reference to A1.For the two SEM-derived GWAS, N_effective provides the effective sample calculated as the sum of the factor-loading weighted effective sample size for each GWAS included in the factor. Terms of useInvestigators acknowledge that these data are provided on an “as-is” basis, without warranty of any type, expressed or implied, including but not limited to any warranty as to their performance, merchantability, or fitness for any particular purpose;Investigators will not cross-post these data or make them available elsewhere – this website is the definitive source for these data;Investigators will never attempt to identify any participant who contributed to these data;Investigators will only use these data for scientific research only'Investigators are responsible for ensuring that their use of these data is always in compliance with all local, state, national, and institutional regulations/policies regarding human subjects, genetics research, and these data – for example, these links are for the US and UK standards;Investigators may not use these data to develop any type of risk or predictive test for an unborn individual;Investigators will cite the appropriate publication in any presentations, publications, or communications or publications arising from use of these data; and

本数据集为《Nature》2025年Zhang等人研究的汇总统计数据，包含以下三个文件：
- `Earlier_diagnosed_autism.txt`：基于基因组结构方程模型（genomicSEM, genomic Structural Equation Model）生成的早发性自闭症全基因组关联分析（GWAS, Genome-Wide Association Study）结果
- `Later_diagnosed_autism.txt`：基于基因组结构方程模型生成的晚发性自闭症全基因组关联分析结果
- `SPARK_agediagnosis_meta.txt`：来自SPARK队列的自闭症诊断年龄元全基因组关联分析结果

通用说明：所有数据集均遵循如下定义：A1为效应等位基因（effect allele），A2为非效应等位基因（non-effect allele）；等位基因频率与效应值均以A1为参考基准。

针对两个基于结构方程模型生成的全基因组关联分析数据集，`N_effective`字段代表有效样本量，其计算方式为该因子所纳入的每项全基因组关联分析的因子载荷加权有效样本量之和。

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