Common variants in MMP20 at 11q22.2 predispose to 11q deletion and neuroblastoma risk

Abstract

MYCN amplification and 11q deletion are two inversely correlated prognostic factors of poor outcome in neuroblastoma. Here we identify common variants at 11q22.2 within MMP20 that associate with neuroblastoma cases harboring 11q deletion (rs10895322), using GWAS in 113 European-American cases and 5109 ancestry-matched controls. The association is replicated in 44 independent cases and 1902 controls. Our study yields novel insights into the genetic underpinnings of neuroblastoma, demonstrating that the inherited common variants reported contribute to the origin of intra-tumor genetic heterogeneity in neuroblastoma.

Chromosomal abnormalities such as 11q deletion are associated with poor prognosis in neuroblastoma. Here, the authors perform a genome-wide association study and identify an association between a variant within a Matrix metalloproteinase (MMP) gene member, MMP20, and 11q-deletion subtype neuroblastoma.

Introduction

Neuroblastoma, a malignant tumor of the developing sympathetic nervous system, remains among the most lethal and difficult to cure cancers that affect children¹. Our previous GWA studies have revealed that common SNPs within or near CASC15, BARD1, LMO1, HSD17B12, HACE1, and LIN28B are associated with susceptibility to develop neuroblastoma^2–6. The majority of neuroblastomas behave in highly malignant fashion, with widespread metastatic dissemination typical at the time of diagnosis. These “high-risk” neuroblastoma are characterized by genomic instability resulting in segmental chromosomal alterations and high-level amplification of the MYCN gene locus. These are prognostically relevant, with MYCN amplification (MNA), 11q deletion and 1p deletion currently used as biomarkers to assign therapy, but the mechanisms by which these chromosomal rearrangements arise remain obscure. MNA and 11q deletion have been shown to be almost mutually exclusive⁷, implying two distinct subtypes underlying high-risk neuroblastoma. As the genetic contribution to neuroblastoma susceptibility is highly heterogeneous and complex, additional loci may be associated with a specific type of chromosomal abnormality in neuroblastoma.

Here we conducted GWASs for three subtypes of neuroblastoma, including MNA, 11q-deletion and 1p-deletion neuroblastoma. We identify a susceptibility locus in MMP20 for 11q-deletion neuroblastoma and subsequently replicate interesting markers in an independent cohort. Our study provides new insights into the genetic architecture of neuroblastoma subtypes and suggests directions for subset-specific therapeutic strategies.

Results

Identification of prognostic biomarkers

To profile genomic alterations of neuroblastoma, we genotyped 641 neuroblastoma tumor DNA samples, using Illumina HumanHap550 or 610 SNP arrays including 442 samples with matched blood DNA samples (Supplementary Data 1). Tumor-based copy number segments were first calculated by ASCAT and OncoSNP, and then curated manually. Tumor samples were excluded if the copy number results were suggestive of noise or if no amplification/deletion events were detected. Following thorough quality control, 437 tumor samples were kept for analysis, including 300 with matched blood DNA genotyping data. A total of 154 neuroblastoma tumors were identified with MNA, 245 with 11q deletion, and 167 with 1p deletion, respectively. The inverse correlation between MNA and 11q deletion events was also confirmed (Pearson correlation coefficient = −0.83), only 27 neuroblastoma tumors were identified with both MNA and 11q deletion. Besides the commonly observed MNA, 11q deletion and 1q deletion variations in neuroblastoma (Supplementary Fig. 1), we also identified a number of genomic regions targeted by low frequency somatic aberrations (Supplementary Figs. 2–7 and Supplementary Tables 1 and 2). In this regard, focal amplifications of ALK, CCND1, LIN28B, MDM2, and 19q13.42 observed in our study have been previously implicated in individual neuroblastoma studies (Supplementary Figs. 2 and 4)^8–12. However, to our knowledge, recurrent focal amplifications of MYC, ZFHX3, KRAS, RRAS2, and CYTH1 have not been reported in neuroblastoma primary tumors before (Supplementary Note 1 and Supplementary Fig. 3). Interestingly, we observed a number of cases (56/628) with low-level amplification of CCND1 (8.9%). In most of those cases, the amplification of CCND1 co-occurred with 11q deletion (53/56, 94.6%), suggesting these two events are highly correlated (Supplementary Note 1).

Discovery stage

We subsequently identified 113 11q-deletion cases of European-American ancestry with available blood DNA genotyping data, and we performed GWAS in this subset together with 5109 ancestry-matched controls (Supplementary Fig. 8). The genomic inflation factor was 1.0 (Supplementary Fig. 9). Three SNPs within MMP20 at 11q22.2 (rs10895322, P = 2.62 × 10⁻⁹, OR = 2.858; rs3781788, P = 2.46 × 10⁻⁸, OR = 2.505; rs2280211, P = 3.11 × 10⁻⁹, OR = 2.604, logistic regression test) were found to surpass the conventional genome-wide significance threshold (P = 5 × 10⁻⁸, logistic regression test, Table 1 and Supplementary Fig. 10). All three SNPs map to the intronic regions of MMP20 and showed a high degree of linkage disequilibrium (Supplementary Fig. 11). Considering that three case subgroups were investigated in this study, we used an adjusted threshold by dividing the conventional threshold by three (P = 1.7 × 10⁻⁸, logistic regression test) with the top SNP rs10895322 remaining significant. The reported SNPs at previously identified neuroblastoma susceptibility loci, including 2q35 (BARD1), 6p22.3 (CASC15), and 11p15.4 (LMO1) were also nominally associated with 11q deletion (Supplementary Table 3). As the 11q22.2 region harboring MMP20 is commonly deleted in 11q-deletion neuroblastomas, we investigated 11q-deletion cases that are heterozygous (G/A) for rs10895322 and found that the risk allele (G) is preferentially retained in tumors (P = 2.09 × 10⁻³, binomial test). This result is consistent with the observation of preferential allelic imbalance in other cancers (Supplementary Fig. 12)^{13, 14}. We did not observe evidence for epistasis between the previously reported loci and the newly discovered MMP20 locus (Supplementary Tables 4 and 5), suggesting that these susceptibility loci contributed to disease risk, independently.

Table 1.

Association results for the top three genotyped SNPs at 11q22.2

SNP	Study	A1/A2	Freq1	Freq2	OR	95% CI	P value
rs10895322	Discovery	G/A	0.164	0.064	2.858	1.991–4.101	2.62 × 10−9
	Replication	G/A	0.131	0.057	2.478	1.296–4.740	4.58 × 10−3
	Combined				2.763	2.015–3.789	2.89 × 10−10
rs3781788	Discovery	T/C	0.201	0.091	2.505	1.794–3.497	2.46 × 10−8
	Replication	T/C	0.148	0.087	1.813	0.995–3.301	0.0486
	Combined				2.321	1.733–3.106	1.58 × 10−8
rs2280211	Discovery	C/T	0.208	0.092	2.604	1.875–3.615	3.11 × 10−9
	Replication	C/T	0.148	0.088	1.795	0.986–3.269	0.0525
	Combined				2.390	1.792–3.187	3.16 × 10−9

A1/A2: risk allele/protective allele

Freq1: case frequency

Freq2: control frequency

P: P value calculated by logistic regression test

We also performed SNP association analysis in cases with MNA and 1p-deletion, respectively. The previously reported loci on 2q35 (BARD1) and 6p22.3 (CASC15)^{2, 3}, reached genome-wide significance (Supplementary Fig. 3 and Supplementary Table 3) in the GWAS of 260 MNA cases (Methods) and 5109 controls and the 6p22.3 locus also showed a P value near genome-wide significance in the GWAS of 69 1p-deletion cases and 5109 controls. However, no significant associations at 11q22.2 was detected in either MNA or 1p-deletion neuroblastoma (Supplementary Table 3). When GWAS was performed in the 113 11q-deletion cases and 282 controls (78 undeleted 11q and 204 MNA neuroblastomas, Methods) of European-American ancestry, the 11q22.2 locus was still nominally significant (rs10895322, P = 5.50 × 10⁻⁵, OR = 2.811, logistic regression test, Supplementary Table 6), indicating a unique and independent role of the 11q22.2 locus in the 11q deletion cases. We subsequently applied the subset-based approach ASSET to investigate the impact of the 11q22.2 (MMP20), 2q35 (BARD1), 6p22.3 (CASC15), and 11p15.4 (LMO1) loci on the subtypes. ASSET is designed for a single case–control study in which cases are treated as distinct disease subtypes¹⁵. This permits both case–control and case–case comparisons (among subsets of disease subtypes) for the detection of the strongest association signals. Here, 11q deletion and MNA subtypes were included for the ASSET analysis, as they are negatively correlated and represent two distinct subtypes of neuroblastoma. However, 1p deletion was excluded as an independent subtype, since 1p deletion often co-occurs with 11q deletion or MNA. The ASSET results confirm the association between 11q22.2 and 11q-deletion subtype (Table 2).

Table 2.

Results from subtype analysis of neuroblastoma risk loci

SNP	Overall logistic		Subset search (case–control)			Subset search (case-complement)
	P value	OR (95% CI)	P value	OR (95% CI)	Best Subset	P value	OR (95% CI)	Best Subset
11q22.2 MMP20
rs10895322	2.55E-03	1.5 (1.153–1.952)	2.98E-08	2.828 (1.958–4.084)	11q-del	2.85E-08	2.83 (1.96–4.087)	11q-del
rs3781788	1.46E-04	1.549 (1.236–1.942)	8.27E-09	2.682 (1.918–3.752)	11q-del	9.88E-09	2.671 (1.909–3.738)	11q-del
rs2280211	4.54E-04	1.506 (1.198–1.893)	9.77E-09	2.673 (1.91–3.74)	11q-del	1.05E-08	2.667 (1.906–3.732)	11q-del
2q35 BARD1
rs3768716	1.39E-12	1.795 (1.527–2.11)	1.22E-12	1.986 (1.643–2.399)	11q-del,MNA	2.09E-12	1.795 (1.525–2.113)	11q-del,MNA
rs17487792	1.10E-12	1.799 (1.53–2.114)	7.58E-13	1.992 (1.65–2.406)	11q-del,MNA	1.61E-12	1.966 (1.63–2.372)	11q-del,MNA
rs7587476	1.84E-12	1.769 (1.51–2.074)	2.18E-12	1.949 (1.618–2.348)	11q-del,MNA	2.87E-12	1.769 (1.507–2.076)	11q-del,MNA
6p22.3 CASC15
rs4712653	2.12E-11	1.719 (1.467–2.015)	7.42E-11	1.719 (1.461–2.024)	11q-del,MNA	7.45E-11	1.719 (1.461–2.024)	11q-del,MNA
rs9295536	5.07E-11	1.691 (1.446–1.979)	9.90E-11	1.691 (1.442–1.984)	11q-del,MNA	9.94E-11	1.691 (1.442–1.984)	11q-del,MNA
rs6939340	5.58E-11	1.698 (1.45–1.99)	1.36E-10	1.698 (1.445–1.996)	11q-del,MNA	1.37E-10	1.698 (1.445–1.996)	11q-del,MNA
11p15.4 LMO1
rs110419	2.28E-03	1.27 (1.089–1.481)	2.44E-03	1.605 (1.182–2.179)	11q-del	2.93E-03	1.593 (1.172–2.166)	11q-del

Association results are reported from the analysis of the newly discovered MMP20 locus, and three previously reported loci including BARD1, CASC15, and LMO1. P values are calculated by ASSET analysis

Replication stage

To replicate our findings, we genotyped the tumor and blood DNA samples of additional 192 neuroblastoma cases using OMNI-Express SNP array. Copy number analysis of the tumor samples identified 80 of them with 11q deletion, Among the 80 11q-deleltion cases, we identified 44 cases of European-American ancestry. The 44 cases and 1902 ancestry-matched controls were included for GWAS replication (Supplementary Fig. 8). All of the three genome-wide significant SNPs (rs10895322, P = 2.62 × 10⁻⁹, OR = 2.858; rs3781788, P = 2.46 × 10⁻⁸, OR = 2.505; rs2280211, P = 3.11 × 10⁻⁹, OR = 2.604, logistic regression test) at 11q22.2 in the discovery cohort showed the same direction of association in the replication set, and two of them had a P value <0.05 (Table 1). The association was further strengthened by a meta-analysis combing the discovery and replication studies (Table 1).

Imputation analysis

To evaluate additional variants not assayed directly on the genotyping arrays, we imputed unobserved genotypes at 11q22.2 using 1000 Genomes Project data as the reference. Imputation identified 13 additional SNPs that were significantly associated with neuroblastoma (Table 3). The top SNPs, both genotyped and imputed were all located in a strong linkage disequilibrium region (r ² > 0.8) within MMP20 (Fig. 1 and Supplementary Fig. 11).

Table 3.

Imputed SNPs surpassing genome-wide significance within and near MMP20

SNP	POS	A1	Discovery		Replication		Combined
			OR	P value	OR	P value	OR	P value
rs11225333	102454685	A	2.838	4.34 × 10−7	2.206	0.012	2.673	9.71 × 10−10
rs5024119	102463359	G	2.861	4.35 × 10−7	2.370	0.007	2.736	4.07 × 10−10
rs10895322	102470256	A	2.854	4.64 × 10−7	2.361	0.007	2.728	4.54 × 10−10
rs3781788	102477556	C	2.616	1.92 × 10−7	1.813	0.048	2.404	2.42 × 10−9
rs7115479	102483150	C	2.617	1.88 × 10−7	1.809	0.049	2.403	2.44 × 10−9
rs7122793	102484945	G	2.559	3.60 × 10−7	1.657	0.103	2.322	2.79 × 10−8
rs7123742	102484946	C	2.629	1.40 × 10−7	1.650	0.106	2.372	9.75 × 10−9
rs7126560	102485553	G	2.636	1.53 × 10−7	1.810	0.049	2.417	1.93 × 10−9
rs17099063	102487065	C	2.610	2.02 × 10−7	1.797	0.052	2.395	2.82 × 10−9
rs2280211	102488131	A	2.604	2.14 × 10−7	1.795	0.052	2.390	3.09 × 10−9
rs11225344	102493269	G	2.625	2.04 × 10−7	1.931	0.024	2.443	2.95 × 10−9
rs2292731	102496405	C	2.425	2.08 × 10−7	1.637	0.075	2.211	1.93 × 10−8
rs12786739	102499728	T	2.417	2.09 × 10−7	1.631	0.077	2.204	2.15 × 10−8
rs12798540	102508004	G	2.866	4.59 × 10−8	1.385	0.358	2.492	1.31 × 10−8
rs12575154	102534875	C	2.792	1.81 × 10−7	1.470	0.296	2.473	3.14 × 10−8
rs34902925	102550821	A	2.796	1.93 × 10−7	1.484	0.285	2.480	2.92 × 10−8

POS: genomic position in human genome build hg19

A1: coded allele

P: P value calculated by frequentist association test

Fig. 1.

Regional association plot including both genotyped and imputed SNPs at 11q22.2. a Plotted are the regional association results from the meta-analysis of discovery and replication cohorts (−log10 transformed P values) and the recombination rate. SNPs are colored to reflect pairwise LD (r ²) with the most significantly associated SNP. The most significant SNP is shown in purple. The tracks of b CHROMHMM (Celline: HepG2, HSMM, K562, GM12878), c wgEncodeRegTfbsClusteredV3 and tfbsConsSites annotation are plotted on the bottom

Exome sequencing analysis

To investigate the possibility of association being a consequence of a rare variant, we analyzed exome sequencing data from 229 neuroblastoma samples and whole-genome sequencing data from 143 neuroblastoma samples from the TARGET database (https://ocg.cancer.gov/programs/target/). We examined for the presence of low frequency variants (<0.01 in 1000 Genomes Database) detected in the MMP20 coding region. Only one pathogenic variant was detected, which is associated with amelogenesis imperfecta. In addition, the frequency of rare variants presents in neurobalstoma cases is not significantly different in the 1000 Genome Database, indicating that the association we report here is unlikely a consequence of a rare variant (Supplementary Data 2).

eQTL analysis

To gain further insight into the biological mechanisms of the association at 11q22.2, we performed an expression quantitative trait loci (eQTL) analysis using gene expression data from 34 11q-deletion neuroblastoma cases. eQTL analysis showed that rs10895322 is significantly associated with MMP20 expression in samples with 11q deletion (P = 7.7 × 10⁻⁵, Student’s t-test, Fig. 2). We did not observe association between rs10895322 genotypes and the expression level of other genes near MMP20 in the 11q-deletion samples. In addition, no significant association was detected between rs10895322 and MMP20 expression levels in undeleted 11q neuroblastoma samples (P = 0.94, Student’s t-test, Fig. 2).

Fig. 2.

Box plot of MMP20 mRNA expression levels in neuroblastoma samples with rs10895322 genotypes. a Plot of 34 11q-deletion neuroblastoma samples with rs10895322 genotype A/− (n = 30) or G/− (n = 4). b Plot of 28 11q-normal neuroblastoma samples with rs10895322 genotype A/A (n = 24) or G/A (n = 4). Boxes in boxplots represent first to third quartiles and whiskers extend to furthest data point still within 1.5 IQRs of either quartile. Center lines in boxes represent medians

Discussion

MMP20 belongs to Matrix metalloproteinase (MMP) gene family, which is involved in tooth enamel formation and defects of MMP20 have been associated with amelogenesis imperfecta¹⁶. A recent GWAS reported association of MMP20 with neovascular lesion size in age-related macular degeneration (AMD), suggesting a potential role for anti-vascular endothelial growth factors (anti-VEGFs) drugs in reversing the choroidal neovascularization (CNV) disease process¹⁷. Interestingly, the lead SNP identified in our GWAS of 11q-deletion neuroblastoma (rs10895322), is also the top SNP reported in the GWAS of neovascular lesion size in AMD¹⁷. The risk allele of rs10895322 in our study is also the same allele that promotes neovascular lesion size in the GWAS of AMD, implying that the risk attributed to rs10895322 in neuroblastoma may be mediated through comparable angiogenesis process that is regulated by MMP20. Our eQTL analysis further indicated that rs10895322 may regulate MMP20 expression specifically in 11q-deletion neuroblastoma cases. Given that knockdown of MYCN expression has been shown to significantly block VEGF secretion in neuroblastoma cells with MNA, but not in neuroblastoma cells without MNA, it is conceivable that distinct molecular mechanisms of angiogenesis may underlie the MNA and non-MNA neuroblastoma disease process¹⁸.

In summary, here we demonstrate that common variants at the MMP20 locus are exclusively associated with the 11q-deletion subtype of neuroblastoma, indicating that the inherited common variants may contribute to the origin of intra-tumor genetic heterogeneity in neuroblastoma. In addition, we have refined our understanding of somatic chromosomal structural rearrangements in the high-risk neuroblastoma genome. Future studies addressing the mechanism by which MMP20 impacts tumorigenesis of the 11q-deleted subset of neuroblastoma, which may allow for the development of novel molecular subset-specific therapeutic strategies.

Methods

Sample collection

The neuroblastoma cases in the study were individuals diagnosed with neuroblastoma or ganglioneuroblastoma registered through the Children’s Oncology Group (COG). The tumor and blood samples were obtained through the COG Neuroblastoma bio-repository for specimen collection at the time of diagnosis. The majority of specimens were annotated with clinical and genomic information containing age at diagnosis, site of origin, INSS disease stage¹⁹, International Neuroblastoma Pathology Classification²⁰.

Control subjects were recruited by the Center for Applied Genomics through the Children’s Hospital of Philadelphia (CHOP) Health Care Network, including four primary care clinics and several group practices and outpatient practices that included well­child visits. Eligibility criteria for control subjects were (i) self­reporting as Caucasian and (ii) no serious underlying medical disorder, including cancer. The Research Ethics Board of CHOP approved the study. Written informed consent was obtained from all subjects by nursing and medical assistant study staff under the direction of CHOP clinicians.

Calculation of somatic copy number aberrations

Copy number segments of the tumor samples were predicted with ASCAT, which accounts for the normal cell contamination and tumor aneuploidy²¹. Previous study pointed out that the SNP genotyping arrays showed a “genomic wave patterns” issue in which signal intensity was correlated to local guanine-cytosine content. The genomic_wave.pl program in the PennCNV package was used to adjust the signal intensity value²².

Genome-wide association studies of three subtypes

We identified and report on 300 neuroblastoma samples with matched blood/tumor genotyping data. Among them, a total of 125 1p-deletion, 171 11q-deletion, and 101 MNA cases were identified. After population stratification, 78 1p-deletion, 113 11q-deletion, and 56 MNA cases of European ancestry were included for the association analysis. In addition, we genotyped the blood DNA samples of 299 MNA cases (MYCN amplification was identified by fluorescence in situ hybridization (FISH) as previously described²³). Hybridization studies were performed with a cosmid probe (from the MYCN genomic locus on chromosome 2) that had been nick-translated with digoxigenin-dUTP. The labeled probe was combined with human Cot1 DNA and allowed to hybridize overnight at 37°C to fixed tumor cells. Specific hybridization signals were detected by incubating the hybridized slides in a solution containing fluorescein-conjugated antidigoxigenin antibodies. Probe detection for two-color experiments included Texas red avidin and counterstaining with 4ʹ, 6-diamidino-2-phenylindole (DAPI). Fluorescence microscopy was performed with a Zeiss microscope equipped with either fluorescein filter sets or a three-color filter set for FITC, Texas red, and DAPI. Two-color FISH was performed with a biotin-labeled chromosome 2 centromere-specific probe. 204 of the 299 MNA cases (detected by FISH) are European decedents. Finally, 260 MNA cases of European ancestry were included. The same set of ancestry-matched controls (5109 individuals) was used for the 11q-deletion, 1p-deletion and MNA GWAS.

Quality control

SNPs were filtered by genotype missing rate (<0.95), minor allele frequency (<0.01), and Hardy–Weinberg equilibrium P value (<0.00001).

Samples with a genotype call rate below 95% were excluded. To remove cryptic relatedness between samples, the identity-by-descent (IBD) scores were calculated and one individual in the pairs of subjects was removed with IBD>0.25. Principal component analysis were performed by using EIGENSTRAT to detect and correct for potential substructures and outliers²⁴.

Statistical analysis

The association analysis were carried out in PLINK using logistic test. The genomic inflation factors for 11q deletion, 1-p deletion and MNA GWAS were 1. Pairwise epistasis tests between the top significant SNPs at 11q22. 2 were also conducted with PLINK. Meta-analysis was performed by GWAMA²⁵. Fixed effects P values were reported.

Cases and controls were pruned to a common set of SNPs before imputation. Genotype imputation at the 11q22.32 locus was performed with IMPUTE2 using the reference panel 1000 Genome Phase I integrated variants set²⁶. We used SHAPEIT recommended by Howie et al to infer the haplotypes before imputation²⁷. In consideration of the uncertainty of imputation, association test of the imputed genotypes was calculated with the SNPTEST v2 package²⁸.

Gene expression analysis

The mRNA expression data of 100 primary tumors and 29 cell lines were generated using Illumina Human 6 version 2 expression l bead chip. The mRNA expression data were previously published²⁹ and deposited in the Gene Expression Omnibus (GSE19274) database. 62 of the 100 neuroblastoma primary tumors have matched genotyping data.

Sequencing data analysis

Paired end exome sequencing data for 229 individual germline samples was obtained from NCI TARGET database (https://ocg.cancer.gov/programs/target/). Sample processing, exome capture and DNA sequencing methods are described in detail by Pugh et al.³⁰ and on the Target website (https://ocg.cancer.gov/programs/target/target-methods#3258). Fastq file sequences were aligned to the HG19/GRCh37 human genome sequence reference using BWA-mem³¹. Generated sam files were sorted, converted to bam format and duplicates removed using Samtools. Local realignment and variant calling including SNPs and short indels, was done using GATK IndelRealigner and UnifiedGenotyper respectively³². Whole-genome calls Complete Genomics masterVarBeta files containing variant calls for 143 neuroblastoma germline samples were obtained from the NCI TARGET database (https://ocg.cancer.gov/programs/target/). Sixty-five of the germline samples were also in the whole exome sequence sample set. The effect of normalized variants was annotated using dbNSFP³³, and population frequencies of variants were annotated using vcfanno³⁴ with 1000 Genomes databases. Here we report only MMP20 variants found in coding regions.

Data availability

Summary statistics of our genome-wide analysis can be downloaded from the public repository figshare (https://doi.org/10.6084/m9.figshare.4978145.v3)³⁵. All other remaining data are available within the Article and Supplementary Files, or available from the authors upon request.

Author contributions

H.H. and J.M.M. conceived and supervised the study, guided interpretation of results and helped preparation of the manuscript. X.C. and L.M. performed the association analysis with guidance from P.S. X.C., Y.Z., J.G., S.J.D., and E.F.A. performed gene expression and copy number analysis. M.A.D. and C.H. contributed to DNA sample collection; F.D.M. and H.Q. assisted with organizing the phenotype data; C.H., K.T., and C.K. performed the SNP genotyping and QC. P.S., J.L., Z.W., Y.L., and Y.G. assisted in discussing and revising the manuscript. X.C. drafted the manuscript. All authors read and approved the final manuscript.

Competing interests

The authors declare no competing financial interests.