LDlink is an interactive and powerful suite of web-based tools for querying germline variants in human population groups of interest to generate interactive tables and plots. All population genotype data originates from Phase 3 (Version 5) of the 1000 Genomes Project and variant RS (reference SNP) numbers are indexed based on dbSNP build 155.
LDlinkR is an R package developed to query and download results (internet access required) generated by LDlink web-based applications from the R console. It facilitates researchers who are interested in performing batch queries. LDlinkR accelerates genomic research by providing efficient and user-friendly functions to programmatically interrogate pairwise linkage disequilibrium from large lists of genetic variants.
Please see the online LDlink documentation for more information about understanding linkage disequilibrium (LD) and additional details about how LDlink calculates patterns of LD across a variety of ancestral human populations.
remotes package:LDlinkR depends on the following packages:
Following installation, attach the LDlinkR package with:
In order to access the LDlink API via LDlinkR, we use a personal access token. This is a common convention followed by many APIs and emulates the more familiar HTTPS username/password or SSH keys.
You will need to:
LDhap(snps = c("rs3", "rs4", "rs148890987"),
pop = "YRI",
token = "YourTokenHere123",
genome_build = "grch38")| Function | Description |
|---|---|
LDexpress |
Determine if a list of genomic variants is associated with gene expression in tissues of interest. |
LDhap |
Calculates population specific haplotype frequencies of all haplotypes observed for a list of query variants. |
LDmatrix |
Generates a data frame of pairwise linkage disequilibrium statistics. |
LDpair |
Investigates potentially correlated alleles for a pair of variants. |
LDpop |
Investigates allele frequencies and linkage disequilibrium patterns across 1000 Genomes Project populations. |
LDproxy |
Explore proxy and putative functional variants for a single query variant. |
LDproxy_batch |
Query LDproxy using a list of query variants. |
LDtrait |
Search the GWAS Catalog (data updated nightly) to determine if a list of variants (or variants in LD with those variants) have been previously associated with a trait or disease. |
SNPchip |
Find commercial genotyping chip arrays for variants of interest. |
SNPclip |
Prune a list of variants by linkage disequilibrium. |
| Utility Function | Description |
|---|---|
list_chips |
Provides a data frame listing the names and abbreviation codes for available commercial SNP Chip Arrays from Illumina and Affymetrix. |
list_pop |
Provides a data frame listing the available reference populations from the 1000 Genomes Project. |
list_gtex_tissues |
Provides a data frame listing the GTEx full names, LDexpress full names (without spaces) and acceptable abbreviation codes of the 54 non-diseased tissue sites collected for the GTEx Portal and used as input for the LDexpress function. |
In this basic example, the LDproxy function is used to explore proxy and putative functional variants for a single query variant. Usage by other functions is similar.
my_proxies <- LDproxy(snp = "rs456",
pop = "YRI",
r2d = "r2",
token = "YourTokenHere123",
genome_build = "grch38"
)This example uses a single reference SNP ID (rsID) for the query variant, a population of interest (YRI = Yoruba in Ibadan, Nigeria), “r2” for the desired output to be based on estimated R2, and genome build GRCH38 (hg38). The output is stored in the variable my_proxies. Note: Replace “YourTokenHere123” with your personal access token. See section above, “Personal Access Token”.
The output can be viewed by using the R Utils Package head function to return the first parts of the object my_proxies.
head(my_proxies)## RS_Number Coord Alleles MAF Distance Dprime R2 Correlated_Alleles
## 1 rs58333091 chr7:24922800 (G/C) 0.1963 0 1 1.0000 G=G,C=C
## 2 rs60614713 chr7:24922807 (T/C) 0.1963 7 1 1.0000 G=T,C=C
## 3 rs59826225 chr7:24925014 (G/T) 0.1963 2214 1 1.0000 G=G,C=T
## 4 rs123 chr7:24926827 (C/A) 0.1963 4027 1 1.0000 G=C,C=A
## 5 rs10341080 chr7:24920084 (C/T) 0.2056 -2716 1 0.9434 G=C,C=T
## 6 rs56794736 chr7:24919358 (C/T) 0.2056 -3442 1 0.9434 G=C,C=T
## RegulomeDB Function
## 1 4 <NA>
## 2 2b <NA>
## 3 4 <NA>
## 4 1f <NA>
## 5 3a <NA>
## 6 7 <NA>This example demonstrates the use of the LDexpress function to search if a genomic variant (or list of variants) is associated with gene expression in tissues of interest. Usage by other functions is similar.
my_output <- LDexpress(snps = "rs4",
pop = c("YRI", "CEU"),
tissue = c("ADI_SUB", "ADI_VIS_OME"),
token = "YourTokenHere123"
)For the function arguments, this example uses a single rsID for a query variant, multiple populations (e.g., YRI = Yoruba in Ibadan, Nigeria and CEU = Utah Residents from North and West Europe) and multiple tissue types using acceptable abbreviations for available tissues (e.g., ADI_SUB = Adipose - Subcutaneous and ADI_VIS_OME = Adipose - Visceral (Omentum)). The output is stored in the variable my_output. Note: Replace “YourTokenHere123” with your personal access token. See section above, “Personal Access Token”.
In order to view the output, use the R Utils Package head function to return the first parts of the object my_output.
head(my_output)## Query RS_ID Position R2 D'
## 1 rs4 rs10637519 chr13:32430479 0.174249321651574 0.965976331360947
## 2 rs4 rs10637519 chr13:32430479 0.174249321651574 0.965976331360947
## 3 rs4 rs473641 chr13:32431244 0.174249321651574 0.965976331360947
## 4 rs4 rs473641 chr13:32431244 0.174249321651574 0.965976331360947
## 5 rs4 rs671746 chr13:32431263 0.174249321651574 0.965976331360947
## 6 rs4 rs671746 chr13:32431263 0.174249321651574 0.965976331360947
## Gene_Symbol Gencode_ID Tissue
## 1 RP1-257C22.2 ENSG00000279314.1 Adipose - Subcutaneous
## 2 RP1-257C22.2 ENSG00000279314.1 Adipose - Visceral (Omentum)
## 3 RP1-257C22.2 ENSG00000279314.1 Adipose - Subcutaneous
## 4 RP1-257C22.2 ENSG00000279314.1 Adipose - Visceral (Omentum)
## 5 RP1-257C22.2 ENSG00000279314.1 Adipose - Subcutaneous
## 6 RP1-257C22.2 ENSG00000279314.1 Adipose - Visceral (Omentum)
## Non_effect_Allele_Freq Effect_Allele_Freq Effect_Size P_value
## 1 G=0.565 GTC=0.435 0.225642 2.2578e-07
## 2 G=0.565 GTC=0.435 0.207161 1.0227e-05
## 3 A=0.565 G=0.435 0.225642 2.2578e-07
## 4 A=0.565 G=0.435 0.207161 1.0227e-05
## 5 C=0.565 T=0.435 0.226558 1.93289e-07
## 6 C=0.565 T=0.435 0.207161 1.0227e-05The following example demonstrates the usage of the utility function list_pop which returns a listing of the available reference populations from the 1000 Genomes Project and their corresponding population code and super population code used by LDlinkR functions. Usage of the other utility functions is similar.
list_pop()## pop_code super_pop_code pop_name
## 1 ALL ALL ALL POPULATIONS
## 2 AFR AFR AFRICAN
## 3 YRI AFR Yoruba in Ibadan, Nigera
## 4 LWK AFR Luhya in Webuye, Kenya
## 5 GWD AFR Gambian in Western Gambia
## 6 MSL AFR Mende in Sierra Leone
## 7 ESN AFR Esan in Nigera
## 8 ASW AFR Americans of African Ancestry in SW USA
## 9 ACB AFR African Carribbeans in Barbados
## 10 AMR AMR AD MIXED AMERICAN
## 11 MXL AMR Mexican Ancestry from Los Angeles, USA
## 12 PUR AMR Puerto Ricans from Puerto Rico
## 13 CLM AMR Colombians from Medellin, Colombia
## 14 PEL AMR Peruvians from Lima, Peru
## 15 EAS EAS EAST ASIAN
## 16 CHB EAS Han Chinese in Bejing, China
## 17 JPT EAS Japanese in Tokyo, Japan
## 18 CHS EAS Southern Han Chinese
## 19 CDX EAS Chinese Dai in Xishuangbanna, China
## 20 KHV EAS Kinh in Ho Chi Minh City, Vietnam
## 21 EUR EUR EUROPEAN
## 22 CEU EUR Utah Residents from North and West Europe
## 23 TSI EUR Toscani in Italia
## 24 FIN EUR Finnish in Finland
## 25 GBR EUR British in England and Scotland
## 26 IBS EUR Iberian population in Spain
## 27 SAS SAS SOUTH ASIAN
## 28 GIH SAS Gujarati Indian from Houston, Texas, USA
## 29 PJL SAS Punjabi from Lahore, Pakistan
## 30 BEB SAS Bengali from Bangladesh
## 31 STU SAS Sri Lankan Tamil from the UK
## 32 ITU SAS Indian Telugu from the UKMore detailed examples demonstrating the usage of each function can be found in the package vignette.
browseVignettes("LDlinkR")Timothy A. Myers, Stephen J. Chanock and Mitchell J. Machiela