R/variants.R

Defines functions getVariantsPage streamVariants getVariants variantsToVRanges variantsToGRanges getVariantCalls

Documented in getVariantCalls getVariants getVariantsPage variantsToGRanges variantsToVRanges

# Copyright 2014 Google Inc. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the 'License');
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an 'AS IS' BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

#' Get one page of variants from Google Genomics.
#'
#' In general, use the getVariants method instead.  It calls this method,
#' returning variants from all of the pages that comprise the requested
#' genomic range.
#'
#' By default, this function gets variants from a small section of 1000
#' Genomes phase 1 variants.
#'
#' @param variantSetId The dataset ID.
#' @param chromosome The chromosome.
#' @param start Start position on the chromosome in 0-based coordinates.
#' @param end End position on the chromosome in 0-based coordinates.
#' @param fields A subset of fields to retrieve.  The default (NULL) will
#'   return all fields.
#' @param pageToken The page token. This can be NULL (default) for the first
#'   page.
#' @return A two-element list is returned by the function.
#'
#'     variants: A list of R objects corresponding to the JSON objects returned
#'               by the Google Genomics Variants API.
#'
#'     nextPageToken: The token to be used to retrieve the next page of
#'                    results, if applicable.
#' @family page fetch functions
#' @examples
#' # Authenticated on package load from the env variable GOOGLE_API_KEY.
#' variantsPage <- getVariantsPage()
#' summary(variantsPage)
#' summary(variantsPage$variants[[1]])
getVariantsPage <- function(variantSetId = "10473108253681171589",
                            chromosome = "22",
                            start = 16051400,
                            end = 16051500,
                            fields = NULL,
                            pageToken = NULL) {
  body <-
    list(
      variantSetIds = list(variantSetId),
      referenceName = chromosome,
      start = start,
      end = end,
      pageToken = pageToken
    )

  results <- getSearchPage("variants", body, fields, pageToken)

  list(variants = results$variants,
       nextPageToken = results$nextPageToken)
}

streamVariants <- function(variantSetId, chromosome, start, end) {
  if (missing(variantSetId) || missing(chromosome) ||
      missing(start) || missing(end)) {
    stop("All arguments need to be provided to streamVariants.")
  }

  body <- list(variantSetId = variantSetId, referenceName = chromosome,
               start = start, end = end)

  callGRPCMethod("StreamVariants", toJSON(body))
}

#' Get variants from Google Genomics.
#'
#' This function will return all of the variants that comprise the requested
#' genomic range, iterating over paginated results as necessary.
#'
#' By default, this function gets variants from a small section of 1000
#' Genomes phase 1 variants.
#'
#' Optionally pass a converter as appropriate for your use case.  By passing it
#' to this method, only the converted objects will be accumulated in memory.
#' The converter function should return an empty container of the desired type
#' if called without any arguments.
#'
#' @param variantSetId The dataset ID.
#' @param chromosome The chromosome.
#' @param start Start position on the chromosome in 0-based coordinates.
#' @param end End position on the chromosome in 0-based coordinates.
#' @param fields A subset of fields to retrieve.  The default (NULL) will
#'               return all fields.
#' @param converter A function that takes a list of variant R objects and
#'                  returns them converted to the desired type.
#' @param useGRPC Whether to use GRPC mechanism to query.
#' @return By default, the return value is a list of R objects
#'   corresponding to the JSON objects returned by the Google Genomics
#'   Variants API.  If a converter is passed, object(s) of the type
#'   returned by the converter will be returned by this function.
#' @seealso \code{\link{getReads}} for equivalent function for reads, and
#'   \code{\link{variantsToVRanges}} for a converter function.
#' @examples
#' # Authenticated on package load from the env variable GOOGLE_API_KEY.
#' variants <- getVariants()
#' summary(variants)
#' summary(variants[[1]])
getVariants <- function(variantSetId = "10473108253681171589",
                        chromosome = "22",
                        start = 16051400,
                        end = 16051500,
                        fields = NULL,
                        converter = c,
                        useGRPC = getOption("google_genomics_use_grpc")) {
  if (isTRUE(useGRPC)) {
    stopifnot(isGRPCAvailable())
    result <- streamVariants(variantSetId, chromosome, start, end)
    if (is.null(result)) {
      stop("Something went wrong. Check printed messages above.")
    }
    return(converter(fromJSON(result)$variants))
  }

  pageToken <- NULL
  variants <- converter()
  repeat {
    result <- getVariantsPage(
      variantSetId = variantSetId,
      chromosome = chromosome,
      start = start,
      end = end,
      fields = fields,
      pageToken = pageToken
    )
    pageToken <- result$nextPageToken
    # TODO improve performance,
    # see https://github.com/Bioconductor/GoogleGenomics/issues/17
    variants <- c(variants, converter(result$variants))
    if (is.null(pageToken) || pageToken == "") {
      break
    }
    message(paste(
      "Continuing variant query with the nextPageToken:",
      pageToken
    ))
  }

  message("Variants are now available.")
  variants
}

#' Convert variants to VRanges.
#'
#' Note that the Global Alliance for Genomics and Health API uses a 0-based
#' coordinate system.  For more detail, please see GA4GH discussions such
#' as the following:
#' \itemize{
#'    \item\url{https://github.com/ga4gh/schemas/issues/168}
#'    \item\url{https://github.com/ga4gh/schemas/issues/121}
#'}
#'
#' @param variants A list of R objects corresponding to the JSON objects
#'  returned by the Google Genomics Variants API.
#' @param oneBasedCoord Convert genomic positions to 1-based coordinates.
#' @param slStyle The style for seqnames (chrN or N or...).  Default is UCSC.
#' @return \link[VariantAnnotation]{VRanges}
#' @family variants converter functions
#' @examples
#' # Authenticated on package load from the env variable GOOGLE_API_KEY.
#' variants1 <- getVariants(converter=variantsToVRanges)
#' summary(variants1)
#' variants2 <- variantsToVRanges(getVariants())
#' print(identical(variants1, variants2))
variantsToVRanges <-
  function(variants,
           oneBasedCoord = TRUE,
           slStyle = "UCSC") {
    if (missing(variants)) {
      return(VRanges())
    }

    variantsToVRangesHelper <- function(v) {
      if (TRUE == oneBasedCoord) {
        position <- as.integer(v$start) + 1
      } else {
        position <- as.integer(v$start)
      }

      ranges <- VRanges(
        seqnames = Rle(as.character(v$referenceName), 1),
        ranges = IRanges(start = position,
                         end = as.integer(v$end)),
        ref = as.character(v$referenceBases),
        alt = as.character(v$alternateBases[1]),
        # TODO flatten per alt
        QUAL = as.numeric(v$quality),
        FILTER = as.character(v$filter)
      )

      names(ranges) <- as.character(v$names[1])
      ranges
    }
    vranges <- do.call("c", lapply(variants, variantsToVRangesHelper))

    seqlevelsStyle(vranges) <- slStyle
    vranges
  }

#' Convert variants to GRanges.
#'
#' Note that the Global Alliance for Genomics and Health API uses a 0-based
#' coordinate system.  For more detail, please see GA4GH discussions such
#' as the following:
#' \itemize{
#'    \item\url{https://github.com/ga4gh/schemas/issues/168}
#'    \item\url{https://github.com/ga4gh/schemas/issues/121}
#'}
#'
#' @param variants A list of R objects corresponding to the JSON objects
#'   returned by the Google Genomics Variants API.
#' @param oneBasedCoord Convert genomic positions to 1-based coordinates.
#' @param slStyle The style for seqnames (chrN or N or...).  Default is UCSC.
#' @return \link[GenomicRanges]{GRanges}
#' @family variants converter functions
#' @examples
#' # Authenticated on package load from the env variable GOOGLE_API_KEY.
#' variants1 <- getVariants(converter=variantsToGRanges)
#' summary(variants1)
#' variants2 <- variantsToGRanges(getVariants())
#' print(identical(variants1, variants2))
variantsToGRanges <- function(variants,
                              oneBasedCoord = TRUE,
                              slStyle = "UCSC") {
  if (missing(variants)) {
    return(GRanges())
  }

  variantsToGRangesHelper <- function(v) {
    if (TRUE == oneBasedCoord) {
      position <- as.integer(v$start) + 1
    } else {
      position <- as.integer(v$start)
    }

    ranges <- GRanges(
      seqnames = Rle(as.character(v$referenceName), 1),
      ranges = IRanges(start = position,
                       end = as.integer(v$end)),
      REF = DNAStringSet(v$referenceBases),
      ALT = DNAStringSetList(v$alternateBases),
      QUAL = as.numeric(v$quality),
      FILTER = as.character(v$filter)
    )

    names(ranges) <- as.character(v$names[1])
    ranges
  }
  granges <-
    do.call("c", lapply(variants, variantsToGRangesHelper))

  seqlevelsStyle(granges) <- slStyle
  granges
}

#' Elaborate the result of getVariants as a VRanges with all
#' calls for all samples
#'
#' @param variantSetId The dataset ID.
#' @param chromosome The chromosome.
#' @param start Start position on the chromosome in 0-based coordinates.
#' @param end End position on the chromosome in 0-based coordinates.
#' @param fields A subset of fields to retrieve.  The default (NULL) will
#'               return all fields.
#' @param converter A function that takes a list of variant R objects and
#'                  returns them converted to the desired type.
#' @param oneBasedCoord Convert returned addresses to 1-based address system
#' @param nullAction either \code{"stop"} or \code{"warn"} telling how to deal
#'                   with event in which request yields no variants; for
#'                   \code{"warn"} we return NULL
#' @return By default, the return value is a VRanges object.
#'         If a converter is passed, object(s) of the type returned by the
#'         converter will be returned by this function.
#' @examples
#' \dontrun{
#' getVariantCalls()
#' }
getVariantCalls <- function(variantSetId = "10473108253681171589",
                            chromosome = "22",
                            start = 16051400,
                            end = 16051500,
                            fields = NULL,
                            converter = c,
                            oneBasedCoord = TRUE,
                            nullAction = "stop")  {
  # This function is an elementary approach to obtaining
  # all calls in a GoogleGenomics 'getVariants' call
  #
  # fields in a getVariants list element
  #  [1] "variantSetId"   "id"             "names"          "created"
  #  [5] "referenceName"  "start"          "end"            "referenceBases"
  #  [9] "alternateBases" "quality"        "filter"         "info"
  # [13] "calls"
  #
  # subfields in the call field
  #  [1] "callSetId"          "callSetName"        "genotype"
  #  [4] "phaseset"           "genotypeLikelihood" "info"
  #
  # call getVariants
  ggv <- getVariants(
    variantSetId = variantSetId,
    chromosome = chromosome,
    start = start,
    end = end,
    fields = fields,
    converter = converter
  )

  # obtain start, end, chr, and base for each variant in requested range
  sts <- as.numeric(sapply(ggv, function(x)
    x$start))
  if (length(sts) == 0) {
    if (nullAction == "warn") {
      warning("no variants in this interval")
      return(NULL)
    }
    else
      stop("no variants in this interval")
  }
  ens <- as.numeric(sapply(ggv, function(x)
    x$end))
  chrs <- sapply(ggv, function(x)
    x$referenceName)
  refs <- sapply(ggv, function(x)
    x$referenceBases)
  alts <- sapply(ggv, function(x)
    x$alternateBases)

  # variant names could be one per alt
  vnames <- sapply(ggv, "[[", "names")
  if (is.matrix(vnames)) {
    allnames <- apply(vnames, 2, function(x)
      paste(unique(x), collapse = ";"))
  } else if (is.list(vnames)) {
    allnames <- sapply(vnames, function(x) {
      if (is.character(unlist(x)))
        paste(unique(x), collapse = ";")
      else
        NA
    })
  }

  # determine counts and values of variant calls in range (all samples)
  clens <- sapply(ggv, function(x)
    length(x$calls))
  calls <- lapply(ggv, function(x)
    x$calls)

  # retrieve all sample identifiers for each variant
  # and confirm that they are consistently ordered for all variants
  # fail if they are not
  sids <- lapply(calls, sapply, function(x)
    x$callSetName) # sample names
  if (length(sids) > 1) {
    for (j in 2:length(sids))
      stopifnot(all.equal(sids[[1]], sids[[j]]))
  }

  # begin a GRanges with structural and base information
  if (oneBasedCoord) {
    sts <- sts + 1
  }
  gr <- GRanges(chrs,
               IRanges(sts, ens),
               ref = refs,
               # any multinucleotide alts collapsed
               alt = sapply(alts, paste, collapse = ""))

  # obtain all genotype calls, current assumption is "unphased" -- need more
  # info from VCF content, might be in the JSON -- FIXME
  gs <- unlist(lapply(calls, sapply, function(x)
    paste(unlist(x$genotype),
          collapse = "/")))

  # obtain initial VRanges
  gr <- as(rep(gr, each = clens[1]), "VRanges")

  # bind sample names
  sampleNames(gr) <- unlist(sids)

  # add genotype field FIXME -- may not reflect actual content of GT field in
  # VCF
  gr$GT <- gs

  # bind on variant names
  names(gr) <- rep(allnames, each = clens[1])

  gr
}

Try the GoogleGenomics package in your browser

Any scripts or data that you put into this service are public.

GoogleGenomics documentation built on May 2, 2019, 12:54 a.m.